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Technical Report
Assessment of future potential growth of single
species forest plantation of Astronium graveolens
at a GWM site
Golfito Canton
Puntarenas Province
Costa Rica

Version 2, 21-03-2012
Table of Contents
A few useful terms
I ntroduct ion and

.3

rillionalc

...............•... ,

Location

,

7

,

,

7

Native species plantations

The tree species in quesuon

"

Diseases ..,,,,,

,

Climate

"

"

,

8
9

,1

,

Climatic wurcr balance
.
I, rcc."rpuauon

"

,

10

"

,

I0
10
,

,,

Temperature

,

,

,.."",

,

"

11

,

, ,

"

,

11

Tomlin and topography

16

Future plantation growth potential.

21"

Assumptions lind cuveats

,

22
,..

,

22

GIS and IT

Future document updates

,

,

,

Bibliography and References
Acknowledgements

A.99yool.n!

,

this dOCl1111ent

4

GWMgrowth

1I""'ln901

22
28

,

SOf1"'.lJ'C 1"esourt:os
About

, .

10

Evapotrunspirntion
Soils

"

8

•. ",.,..

,
,

,
,

,.32
33
.33

Page 2
A few useful terms
Agroforestry plantation: briefly, a combination of a tree species plantation at the
higher structural layer with a perennial or annual plant at the ground layer. and/or
with Incorporation of beekeeping (ex. for acacia nower honey) and animal farming.
such as caUle grazing. The general objective is to have a multipurpose system with
many products, while also Increasing both structural and species diversity in
comparison to a singe species agricultural system. and thus Increasing
sustainability
MAl: Mean Annual Increment. the mean annual variable growth per stand hectare
PAl: Periodic Annual Increment. periodic (annual) change on variable growth per
plantation hectare, per stand hectare
Wood volume until 10 cm or 12cm diameter Inside bark: the stem wood volume
produced with the upper (higher on the tree top) diameter to be 10 em without bark
Vob: Volume outside bark, that is volume with bark (MAl Vob and PAl Vob
accordingly) measured in cubic meters per stand hectare
Basal Area: with the assumption that trees are cyclic perpendicularly. the surface of
a cross section of the stand trees (here per hectare). measured in square meters in
our case
TPHa: Trees per hectare, the number of trees planted or standing per stand area
for a given time period
Total biomass: the biomass of the tree, with branches, leaves, twigs, bark and
coarse roots, measured in tonnes per hectare
DBH: Diameter at Breast Height. diameter of a tree measured at 1.35 meters height
Mean DBH: Mean Diameter at Breast Height -per hectare, per stand, or per tree
C02: carbon dioxide amount that is is absorbed by plants during their growth
RNG:Random number generation: commonly also referred as RNG, it Is the result
of several mathematical/statistical procedures to generate numbers according to a
specific distribution or pattem
Linear function: A mathematical and statistical term. meaning that 2 or more
variables are related with a linear function when the increase of one of these
variables, results to the increase of the other(s)
Non linear function: A mathematical and statistical term, meaning in rough the
opposite of the linear function explained above: that if two or more variables are
related ncn-Ilnearly, the increase of one may resuit In an asymmetric change of the

otherts).

A, gravtOI!lIl'

4

GWMgrowth

(I""'lne",

Page 3
Genfll'ill overview of I.h0.GI;VM site locatlon
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HO{liol1.t1 overview

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GWM Site near

Golfito
Puntarenas Region
CostaRica

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General overview of Golfo Dulce, Puntarenas, Costa Rica
Introduction and rationale
Agriculture and agricultural Investmenls of annual or seasonal crops, In their commercial and
Intensive forms, eilher of small or larger scale, while providing the world's tiber and food. are also
examined on their susiainabillty In the medium or short lerm, regarding C02 emissions, erosion,
hydrology and several other environmental issues. And practice has demonstrated, that following
certain good management practices, many economic, sociat and environmental goals can be
satisfied simultaneously. For example, while water or wind erosion can be caused from deep
plowing of agricultural lands and no field cover. surface plowing or mlnimat plowing and partial
ground cover, reduce such effects. And while certain crops require significant water Inputs, others
more adapted to each particular site may require less. Plus, Irrigation scheduling and crop water
satisfaction models also work towards the sustalnabillty of water use. Also, one major Issue
attributed to ptowlng agriculture, is sometimes the reduction of soil nutrients and organic maUer.
Another way to overcome this Is, when feasible, plant tree species either in co-existence with
annual crops (which is called agroforestry) or depending on the nature of the management, Invest
In timber and biomass production by growing trees solely. Such practice has many benefits to the
tocal structural and species biodiversity, hydrology, micro-climate. Increases organic matler
deposition by tree litter-fail and thus benefits soli overall, usually does not require even surface
plowing after site preparation and Iree establishment; plus, reacts as a protection measure to wind
or water soli erosion. Especially when native
species plantations are established, the
environmental services provided reach a higher level, since such efforts are considered as a man
made restoration of landscapes with natural vegetation. And these are Just a few of the benefits of
tree plantations. While cash crops generate Income annually, biomass or timber plantations have a
much longer lifespan. A discussed advantage is thai tree plantations In limes when there Is no
damand andlor low price for the end product, can be left aside, managed and harvested when lhe
market conditions are favorable, while at the same time they continue to grow and thus having a
positive increase in end product quantity and quality.
Fiber and food production are subjects of small or large Investments In the primary sector, either
from small or larger land holders. Whilst these lnvestrnents appear a profitable solution for many,
their returns always depend on the natural variability which innuences drastically the site
productivity and thus any production.
Usually, before any field trials and studtes or tests of tree plantation establishment (which may take
a considerable amount of time to materialize), It is desirable to remotely collect, without any field
visits or field assessments, as much data as possible and make a rough estimation of the tree farm
productivity, in order to present risks and benefits of future investments. This is the need that this
technical report tries to cover: a prior to site establishment and planting. rough estimation of site
productivity and suitability. to be compared then, with the expert opinion and forest projections of
GWM engineers and field foresters alike.

Location
Costa Rica, located between 8 to 12 degrees North of the Equator, is widely known for its natural
wealth and ecosystems and parks. This biodiversity rich country hosts several research centers and
projects studying natural habitats, their management, and also agriculture and forestry production.
Southwestern Costa Rica, where the site under axamination is located. has generally very good
conditions for tree growth. As in many other countries in the tropics, due to plant characteristics,
climate and soil conditions, tree growth can be remarkably higher than in other parts of the world.
The soil and climate conditions are Ideal for the primary sector, and sometimes the relatively lower
quality lands for Intensive crop production can be preferred for agroforestry or forestry use.

AI qrAv,ol,ns

~GWM growlh o"ollmont

Pag.1
The specific GWM site. is located very close to the southwestern. Pacific coast of Costa Rica. at the
Canton of Golflto. near the City and airport of Golflto. nested in the Inner side of Golfo Dulce (Dulce
Golf). Less than 2 kilometers on the southwest flows the Rio Coto Coronado river. while the sea
shore of Golfo Dulce is a few kilometers away. It Is a hilly. low altitude area (70-200 meters above
sea level) covered with vegetation and forest meadows. The property covers 170 hectares
approximately. with moderate hili slopes. The climate is tropical, with more than 3500 mm of
precipitation failing annually, while mean monthly temperature per year varies between 22-28
degrees CelSius.

Native species plantations
Plantations in their majority are made from species non-native to the country they are established.
but come from similar ecologic environments, but even non native species plantations provide a
range of environmental and soclo-economlc benefits, In addition to the production of biomass and
timber, or other forest products. It Is widely discussed that tree orchard agriculture. or forestry
plantations under certain management regimes, can provide several addltlonal benefits to the
environment and society. A good praclice from a biodiversity perspective, It to plant nalive species
In forestry plantations, since this is actually a man made restoration of natural forest vegetation
which also provides soclo-economlc benefits. at an area which was previously grazing. agricultural
or mining land.
So. recognizing the benefits of forestry plantations. forestry management and research focuses
also on the creation of man-made ecosystems that mimic and are very similar to natural
ecosystems. but also provide the required fiber and economic benefits. Planting native tree species.
or a combination of plant species, Is one of the ways used towards Increasing sustalnabllity of tree
plantations.
Native forest species which have not been reproduced and used in such management conditions
and are recently Introduced to forestry plantation use. usually have a wider genetic variability. and
thus morphologicat growth. and generally their behavior In plantations Is now being studied.

The tree species In question
Astronlurn graveolens Jack.. or Astronium Fraxlnlfollum sceu., is a broadleaved tree species (16)
with habitat from Mexico all the way to Brazil (16.17) and Argentina (4). Its common name in Costa
Rica is ron-ron (27). while also called diomate. and has many other common names In Central
American countries. In Brazil It Is commonly called as Goncalo-alves (16) while there are other
genus of that species attracting interest In their growth patterns (5.6). It has great genetic variability,
and there are many other species of the genus Astronlum occurring In Central and South
America(5.6), and there have been several efforts to concentrate and classify all the Information
about the genus (17).
Its a late pioneer or a secondary succession species, depending on the literature reviewed from
various geographic regions. However. for Central America and speciOcaily Costa Rica. this Is
considered a slow growing pioneer species. which is moderately shade intolerant as an adult. while
It needs a lot of sun radiation during early growth. As reported by certain authors, it can survive at
canopies dominated by TermlnaUaamazonia In mixed species plantings (28) or other mixtures (22).
That is. although It is a sun loving. slow growing species. It tolerates shade and persists on the
understory having low mortality levels on forest plantations dominated on the upper canopy layer
by Termlnalla amazonia (28). This in turn. creates a practical basis to assume its potential to grow
in mixed species plantings.
A, gray,ol.n&

• GWM growth ~I.,••m'fll

Page 8
In fact, there are various approaches on tha silviculture of the species as regards to tree
plantations. Some authors recommend that its slow growth and branching habit make It unsuitable
for single species plantations (26), while others have carried field trials with single species
plantations with high Increments, us wood properties and density (0.85 up to more than 1.2 for
certain species of the genus) ctassify It as a valuable timber, while It has atso high catorlfic value as
fuet-wood.
It has been Identified as one of the species tested for reforestation In Costa Rica (26), but the
experimentation and thus data and information avaitable for the species Is not as extended as other
native of exotic species in the country (Terminalla amazonia or Tectona grandls), which are ptanted
In a larger scale, in the Region of Puntarenas and elsewhere. Its occurring In the wider locat area
(ex. Rio Grande de Terraba) (27) In natural forests, and that Is a sign of general species adaptability
to the location.
Its wood is highly appreciated for its technical and appearance characteristics, and harvested In Its
natural or man Influenced habitats, and there is a recognized need for its conservation (17) and
protection, due to Increased harvesting as reported. Therefore, here Is a major biodiversity benefit
In case of Investments In forestry plantations with Astronium graveolens: the species will be
replanted and thus future natural regeneration to area converted to forest by the establishment of
native species plantations; plus the pressure for logging the species will be removed from natural
forests and protected areas, and soolal demand may rely on the forestry plantations for this timber
resource.
In agricultural tands, there are reports of Astronlum graveolens grown from coffee farmers as a
shade tree at wide spacings, 6 by 6 meters or more. Sometimes Astronlum trees In coffee farms
come from natural regeneration, other times are planted. In plantations, single species plantings In
Costa Rica report a mean annual increment of 4-7 cubic meters per hectare (26, and citations
within) in certain tocations.

Diseases
As a naturally occurring species, and without extensive plantation occurrence, one may assume
that Its native pests and diseases are fewer than these of Intensively cultivated species (such as
agriculturat cash crops or widely planted commercial timber species). In a recent study for plant
diseases published on 2007 (14), there are 6 Insects and 6 pathogens reported for the species, but
the geographic occurrence of them is In other regions (14) than Puntarenas, where this GWM site Is
located. Also, there were no references in the literature for ron-ron diseases and damage to
plantations. Also, In nature studies related to the species, an 85%-90% mortality (26, 28) Is reported
for severat years In plantations with low levels (28) of management Input.

A. graV.91.nl

• GWM growth (l""'m9rll

Pag.9
Climate
Climate and solis are two natural factors of crucial Importance for plant growth, and this Is why they
are examined In as much detail as possible for this report. There are several sources of climatic
and meteorological data, and for our assessment focus was given on the local data sources
available from the Insituto Meteorologlco Nacional (IMN), of the Mlnlsterlo de Ambiente, Energla
Telecomunicaciones (MINAET). Specifically, either local station data (44), and/or Meteorological
bulletins (40), and also climate maps (39, 45) were used as the primary data sources . These
original data sources were then used to derive other climate variables. such as evapotrasnpiratlon
(1,42), several bloclimatic Indicators (42, 52), and also to Interpolate the climate for the GWM site
location.

Climatic water balance
Climatic water balance presents In a quantitative manner the relalion between water Input and
output entirely based on climate variables. Although based In the site Indexing methods foliowed
the climatic water batance Is not required as all Indicator variabte white precipitation level and
seasonal distribution is considered Important for the species, we Included this variable In our
calculations since It can be used to estimate the temporal occurrence of xeric events.
For example, as can be seen on several graphs of this report, there are certain months of the year
that Climatic Water Balance is negative, which Is an Indicator of relatively xeric events. Astronlum
graveolens occurs in areas with extended dry periods, and/or in geographic areas with receive
much less precipitation than this site close to Golfito, Puntarenas, Costa Rica.
Such climatic water balance equations could also form the basis to develop a system after tree
establishment to derive plantation specific Water Satisfaction Index which can be frequently
updated based on collected weather data.

Precipitation
Astronium graveolens Is usually a species of the dry forests of Costa Rica and Central America, but
can grow well on higher precipitation tropical forest sites. Is less prone to xeric events and droughts
than other native forest species used in plantations. and the higher precipitation level at this GWM
site can cover well species water resources needs. There are reports of Ron-ron growth in Rio
Grande de Terraba (27), which is located norther than this GWM site, but has similar precipitation
conditions.
Precipitation was examined simultaneously with other climate variables and indexes. Precipitation
varies In the wider geographic area from approximately 4000 to 5000 mm every year, while a
relatively dry period occurs for 2-4 months, as presented In graphical representations. Furthermore,
as a secondary, proxy variable for defining the site suitability we have used the Climatic Water
Balance, to estimate the seasonal distribution of xeric events.

Temperature
Temperature levels are within the habitat suitability for the species, based on the data sources
reviewed. Interpolated data for minimum, maximum and mean temperature was analyzed and
visually represented, and then compared with the upper and lower thresholds for the growing period
of the species. As common sense Implies, since the species Is naturally growing In the wider
A, gray.oltn, . GWM growth 018.",n9rll

Paoe 10
geographic area. the temperature levels (and generally climate) have at least a minimal agreement
with the species requirements for growth.
Additionally. satellite data (Landsat ETM Thermal Band) (31. 33) was used to examine the spatial
distribution of temperature at a high resolution (60x60 meters) to have an overview of the variance
of temperature at the wider site geographic location at the given temporal point o( satellite overpass
(31. 33). Such analysis can be soen at the relevant maps published In this report.

Evapotranspiration
This variable is integrated Inside the Climatic Water Balance calculations. since It is one of the most
Important figures when assessing plant growth. Evapotranspiration (1) Is usually less than
precipitation (or the most months of the year (or the location examined. and In surpasses that
variable (or a short xeric period or the year. This is In agreement with rough Astronium graveolens
requirements (or precipitation deficits.
Evapotranspiration calculations (1) are made using as Input the climatic data available (or Costa
Rica (39. 40. 44. 45). Analytioal graphical presentations are provided In this technical report. In
order to visually present to readers this variable.
Also. the Incorporation of this variable to other bloclimatic Indicators using as guideline previous
scientific work (52) was made to help towards the appreciation of the location conditions for plant
organism growth.

Soils
As In the maps and data reviewed from Costa Rica (41). soils in our area belong at the Ultlsols (59)
order according to the USDA ctassntcatlon system. suborder Typic Tropohumulls (41). which are
deep and well drained ullisols. This is something also noted from local sources(41) where it Is
reported that soli In this area are deep (profundo), with clayey structure. The local classification lor
this order of the sons is similar to Latosol Pardo Amarelo.
Various forest plantations projects have been carried out in similar soil groups. and although
Uilisois or Latosols are considered with low fertility for direct Intensive agricultural use, are
considered suitable for agro(orestry or forestry use. The moderately heavy clayey structure of the
site soils can create some limiting conditions (or stand growth. since ron-ron grows optimally In
alluvial and well drained sites (57). Forestry plantations with native species or exotic timber trees
have been planted In several areas of Cost Rica with similar soli condilions (9), and productive
natural forests also exist In Similarconditions.

A,9@y.91,ns

• GWM growth ••••••

m9nt

Pag. 11
MC!an Minimum

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M~inlmum Temp...(fe!IUI)

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Relative f,oquency of rain days par month

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R.~O of Pl'll,lplt3tlon

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Summary Statistics of iruerpolared climate variables
Variable

MC!A.II

Median

Minjluull.

Minimum Temperature

21.22

21.43

0.20
2

21.85

Maximum Temperature

31.43

30.95

3O.J5

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5

Mean Tempe nil lire

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Variable

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S

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Ex. kurtosis

Minlmum Temperature

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Maximum Temperature

i.n

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Pl'ce.lpllOLiOo

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0

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600

Climatic etcr Balance (mml (Io'tl M.,o" Preclpltat!on (lnO'I (I.rtl
Mean Temperature ("IU$I (rloht)

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GWM growth 4••

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Orct.nber,
Pooe 15
Terrain and topography
Slope, aspect and topography are generally Important variables for tree growth, as they influence
also sun radiation, temperature, local hydrology and soli drainage, temperature variation and
generally the micro-climate of the site.
Regarding slope percent, we have examined the site based on a 30 meter contour map, and spatial
filtering revealed site areas with more than 15-20 % slope, which we consider as less suitable for
ron-ron growth, according to literature. Additionally. the best place for ron-ron growth may be the
lower slope and river bank parts with low Inclination, with greater alluvial and finer material deposits
from up-slope. as Interpreted by literature and habitat suitability Indexing.
GIS analysis was carried out for these variables using satellite Imagery as primary data input (32) In
order to derive specific high resolution properties of the site. The resolution of this analysis was at
30x30 meters (as the original data(32)), or approximately at every 10nth of a hectare. Additionally,
the wetness Index was developed, to provide a fuzzy classification on the relatively wetter and drier
areas of the location. All this Information was Incorporated Into the spatial database developed to
provide as final result visual representations of the analysis carried and to construct a site suitability
map.

Rcletfve ,patio! tll,l;rlbutloo of AJPfXt 'or each 1110Ho oreo of the GWM site

,....90dagrenl North, leOda!) Wast

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150
200
250
A$pett (dagrQ~' lecreese countertlockwj,Q 0·360)

300

350

Poo. 16
Morpholof) lcnl/Morphomal.ric

o

feil!'11res of I.hf~C;WM sil.,~

Coortlonate
Reference
S~em: WGSij4lI)TMZO~EI 7NI EPSG32e 17! ,plO!-utm •..,n8-17 .~lp .. w()S8'

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GWM bordlll'l: Qr..nwaod Man.glmlnl
Original DEMdala aou~: Earth RomOIOSonal~goala Analy" ConlOI lERSDAC),Dala eo" al'l)• plOouel 01100Mlnl8lry
01Ecano"". TlQdo.and Indullry (METI! of Jo.pan and 01tho UnttodSIaIO. ~alIOn.1 IoronautlCaand SpoeoIIdminlatrasJOn
[NASA)
Aspect map or the C;lVM
site Iocauou

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-

?470OC,Q

Aipuct MbP

"&Q~O

•

•

~

~

,.~.
0
_

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South

EMt

•

q

"

NOlth

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~

~

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e

9I1l(.OOC,O

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Coordlnalo FlolG
.,n¢O Systom: wtlS8411JTMZONE 17N I PSG 32&17 I .p"l.utm -zono. I7 ...,IP8ftwGS84 .CI8lum.WGS84
'"odtl$ ,towgil84"(),OO
GWM aile border, data "OUL"C'~Gl'lerwmod MAnagement
I.Indl.'lm.~.,y:
G
loblll.lrul eo .. , Fa.lllly (GLCFj, Cloddatd Spac. FI,ght Conti' tGSFO) (201 I), I.Indlll SuMa.. Rlf1aclanOi .

,""I,o-m

L.ond8.t 1M" ET M.j.,Glebal L.ond CO'lO' FllCIllty UnlvolOoty 01 MGl'land. COIIOQQ
PIlIk •
Slope percent contour map of tho C;"1;1
site

~

~
~

~

~:

,
_- /,

~

--=

(K

.,

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<

" ! ')1.
r~

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~



Slope pf!irc~ntC:OI'tour Mnp

-

O%ilupfl

9""000.000

10% 5lop~

1$ % ~I(lpe
",~"
,

-

20% sIOI>.
~I~

~Iopc

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Coollllna'" FltfIt .. nc. $l'IIlm: WClS84IUTMZONE7N i EPSO 32817 I .p"'l.u.m .",nl.17 .eUpo-WClS84
1
+!Uitum.IVOSB4 + •• ru .-flo_d." +IOWUIl&4.Q.G.O
unlt
QWM 1110 boIllO,., GIoO_ad M.nagQmonl
O.lglnol OEM da•• GO."",: E.~h Aomo.o SOntlng 0.111Malylis Cenlor (ERSOAC).Dat. 8<1.1Il10 • pIOdUCi of the Mlnllcry
of Economy,Trade, 1M Industry (METI)01Jopen and of the United Slates National AelOnau~ceand Scaee Ad""nl., ...~on
(NASA)
Dralnaqe map 01 the C·VM site (surtace runoft ill degrees)

lU'J IiOQIOClII",1.I'f,CO r,ll"lo*
~

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o

1711I EP~

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I"'Q~

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1(1.;dllO'IM' url'Ce tlnoff

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"Wlofi

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27':: velJ!~~,tl'f.t~
I'II,,)II

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!In 1' .....

.'....

11" ...,..

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320111 +l>lOjOOjlm
...ono.17 "11D .. WOBse

+d.,um.WGS84 +Unll...,.._no do•• ,owgS84.0.0.0
GWMtile bolOe,.:I.lrae'_d

Meneo.meot

Original OEM data .oulte: E.rth Remote 8enslno 0.10 "'"''I'll. ,..nw (ERSOACi_Clot •• ,. ant a PIOdu", of mo Mlnl.l'/
•
of EocJr'lorny, rtadl. atld Indul'lry lMEn) at Jipan and oil",. United St.... National Aeronautlca and SPIOI Admlnl8lrilIOn
(NASA)
Future plantation growth potential
Generally, Ron-ron is considered a rather slow growing species In Costa Rica, and also In Brazil
(Gonceto-Aives), with mean annual increments In DBH of 0,6 to 1,0 em, although there are some
cases reporting higher growth. In Honduras it Is reported as growing with significantly higher rates
during early age, especially at good alluvial sites. In Argentina, It Is studied as plantation species
and at later growlh stages, In dry sites of 800 mm of precipitation annually (4).
The genetic variability and also the variation of environments that the species grows may be
responsible for certain growth variation in these reports. Additionally, since It is a native forest
species with current efforts for Its conservation and systematic propagation, Ihe inbreeding and
selective breeding of the species under controlled conditions may be limited and therefore
physiological and morphological traits affecting growth of the species present high variation,
However, as noted by various organizations and authors (ex. FAO) this genetic variability that plant,
tree and crop species present Is one main reason for lood production and security in our world, and
thus can result to benefits in forest management too.
Such genetic variability results to different responses to diseases, pests and environmental
conditions for crops and trees. Thus, although Ron-ron trees may not systematically be as
homogeneous in growth and traits as Teak trees for example (which are selectively breed and
grown for their valuable timber all over the tropics and sublropics and therefore their genotype and
phenotype Is more standardized for a given variety), due to their higher variability, but there are
other certain advantages that can make up for this Inhomogeneity.
Certain growth models reviewed for Ron-ron provide linear functions for Its growth, as a function of
volume Increment with age. Other models are originating from Brazil (5, 6), provide growth models
for Astronium balansae, which Is in the genus of Astronlum. Another study from Honduras (57)
provides growth equations for the first six years of growth for the species of Astronlum graveolens
for various growth scenarios based on site quality. Also, dendrometric Information for Astronium
spp grown at plantation conditions at a region of Argentina is included In scientific work (4).
Similarly. useful Information about Astronlum early growth Is provided from a study In Panama (3),
where 24 tree species were tested in a field trial documenting early growth. There were several
studies of soil treatments and their effect to Astronium genus species growth in Brazil (6, 36, 37,
38), which Is usually planted at latosol solis but In environments with much less preclpitation than
the site studied In Costa Rica. Generally, species prefers well drained soils, and does not tolerate
waterlogged or prefer heavy clay solis, but can grow on the later too. Astronlum spp, biomass
allometric relationships was also a subject (47) of a study in the tropics, which provides also
another data source for the growth rates of the species.
Recommendations for single species plantings propose dense Initial pattems, to avoid tree
branching and promote strong eplcormlc growth (26). The species has usually satisfactory levels of
mortality In plantations, A suitability classification was also considered for the needs of this study for
Ron-ron, based on reviews of published reports (26, 28),
The species although Is studied from various aspects we have not found any representative growth
models or yield tables for South Costa Rica. Based on the scientific work and reports reviewed for
broad-leaf species growth at Golfito area we assume a mean dbh increment of 0,5-0,8 cm annually.
Given that the goal of this study Is to model a full rotation of Ron-ron growth which spans 25·30
years or more, growth curves were fitted to the data mentioned In the previous lines in order to
avoid any degree of subjectivity of using non-spatial developed statistical models from other
geographic areas. The growth modelling approach for this Astronium graveolens study, conSidering
as guidelines similar studies (5,6,57) was focused on the adaptation of growth modet equations (2)
using specific methodology and software tools as developed by authors (60,58,15). Based on the
found sources of Information for Ron-ron forest plantations In Costa Rica after bibliographic
research, a regional growth mean estimate for Southwestern Coast was assessed. As in the tables
A, grpy,OI9!l' • GWM growth " •• ,.monl
provided for the most likely growth scenario for Ron-ron, a 30 year rotation period is selected with
1300 trees per hectare at year 1, with thinning events occurring every 5 years reducing by 25 % -

50'/0 the residual tree number during each operation (57), Higher Increments are also possible, but
these would depend on various site-species factors which can be with more detail analyzed after
plantation establishment.

Assumptions and caveats
One Important detail to note here Is that all sclentiflc reterences and bibliography are from peerreviewed journals and publications, and there is no doubt of their scientific accuracy, However, the
use of such models by the author of this report In a wrong or subjective manner, does not mean of
course that the used bibliography or the cited authors are Incorrect: rather its clearly the
responsibility of the current author on the appropriate use of these,
Climate data are estimated for the geographic area of Interest. Ideally. for a site assessmenl of
plantation growth, one may have local time series of meteo data for the last decades, However,
such data are not available before hand. as this is very often the case with agricultural or forestry
production. Therefore on Initial estimations 01 site suitability and plantation growth. either
researchers or managers use Interpolated data which may be less accurate and with coarse spatial
resolution to represent local variability. However. this Is a very usual case, since detailed local data
may not be available even after plantation establishment.
Uncertainty In the assumptions and estimations made Is towards high levels. which can be limited
when local ground tree and plantation growth data can be available after plantation growth.
Verification of such projections can be made with actual ground sampling of existing Ron-ron
plantations at the area aged 5-6 year old or later, and can be repeatedly updated in future periods,

GIS and IT
Mapping and GIS are a useful way to Integrate various kinds of data and derive results based on
their combination. Apart from the usefulness of such tools to Integrate Information and extract
results, the visual outputs, such as maps and graphs, can be useful even to non technical readers
to see the tocation of lhe site and Its characteristics.
Whal can be the benefits of such maps and dats available? First of all, one may see the data
sources and methodology used and therefore to be able to evaluate Ihis study, Also, a reader may
actually view the study location from the coordinates that are available In lhe various maps
provided. The Coordinate System used Is the WGS 84, UTM Zone 17N, which can be converted to
any other system desired, Complete referencos are provided for the data-sets used, for the
operating systems and software packages used. Both commercial and open source software tools
were utilized In order to develop Ihls GWM study.

Future document updates
Such documents of working nature can be updated with the availability of ground data from
plantation growth, Usually. a good conclusion of plantation potential can be made after the first
years of plantation growth. from field foresters and plantation managers,

A, g,.y.ol'!l'

. GWM growth p.,olsmont

Pao.

:u
Projecdol1s table· SMote ap*IS

A(JI!

(V .... )

TotaJ Volume (theoreticAl no thinning
O'ClW'h)

plMtAtlon 01 A.tronlum (p'lIiM)lanl

R•• ich-al Undtrbar1C Volume to lOP

dinn,el(!f O. 10 em

J

2.3J

4

4.23

5

13,00

6

0.0<

7

11.92

8

1.4.71

9

17.&1

10

21.01

11

24,21

U

27.39

10 lI6

13

31),$3

12.1'>4

14

33.58

14.89

15

30,S'

17.32

16

30,3'

lH)

17

41.97

10.32

18

44,41

21..9

19

46.83

23.72

20

4g.()4

?G.OO

21

51.12

24.20

22

53.08

2G.l8

2l

54.113

28.19

2.

56.67

302$

2G

$8.33

32.35

26

59,90

20.99

27

61.41

2(14.4

2G

62,8$

2089

29

1).1,2'

31.35

30

GSS8

32.81

underbft,k

.92
0

3

to top dkumtero, 10 em

0.00

2

Va"""" "moved (lhinnlnglHftrvt,dng)

To~1A,e~tH'AIMI Vol~lme

At g,.,V.o10Il, . GWM growth ",o."non,

2.71
,07 B

3.134

6,02

7.72

32.43
49,84

Page 23
PlOjocliOll' tQble.

Ag. (y••

'.)

ThoorcOcnI QrOMh of bosal arctt

Singto spoc::loSptantotlon of ASlrotium gravOOle,.
RsldUtkI BaSAl Area (Rhor Ihlnting)
e

1

0,00

2

0,68

0.68

3

1,37

1.37

4

2,05

2.05

5

2,72

2.72

6

3,39

2.76

7

4,04

3.34

8

4,67

3.89

9

5,29

".4S

I.

5,87

5.00

11

6,41

3.75

12

6,92

4.11

13

7,38

4.47

14

7,80

4,83

15

8.17

5.18

16

8,50

4.61

17

8,79

4.90

18

9,03

5.29

19

U4

M9

2.

9,42

5.79

21

9,57

5.00

22

9,70

5.34

23

9,81

5.59

24

0,00

5.83

25

9,97

6.07

26

10.03

5.33

27

10,00

5.50

28

10.13

5.87

29

10.17

5,83

30

10,29

5.89

Romovod and Harvel'led Bls41 Aroa

At q(Jy.oI9n •.

GWM growth 9., ••• ,u.ol

0,G8

2.50

1.30

1.4S

1.52

S99

Pago 24
protecllons

AIJO (yo... ,

ToUll Volul»e (theor.llcal
orOMh)

cfthto . Single specie" ptelt(al60n Of A$tmnlurn gravoolcns

no I.!linnlng

To Vo"",,,... MAl (thtor.tlc.tno
tal
thlnnlno Orowth)

Tow Vo"'mt PN {Ihooretkal no
thlnnlno growth)

0,00

0.00

2

0.62

0~1

0,82

3

2,31

o,n

1,49

•

'.23

1.00

5

6,00

1.30

227

G

9,04

1.GI

2.6!I

7

U.02

11)9

2.77

8

JA.n

1,85

9

17.85

10

21.01

2.10

9.16

U

1.4.21

2.20

320

12

27.39

2,26

319

13

30.53

2.3&

313

"
15

33.56

2.40

3.0$

10

3Ul

2,46

2.80

17

41.1l7

2,d7

2.00

18

44,• .,

2,47

2Jil

19

46.0:1

2.40

2.3G

20

40.0<

2.45

W

21

5,1.12

2.'3

2.08

22

53.0Il

2.41

1.00

23

!l4.9:1

2.39

IllS

24

56.67

2.:16

1.75

25

58.33

2.33

1.58

20

50.00

2.30

1.58

27

6..41

227

1.51

28

62.8G

2.2.

1M

29

04.2'

2.22

30

GB,!iQ

2.19

36.61

A. grAV'o!,!), ~GWM growth 9" •• "n.",

.116
1

43 2.

.92 1

.~ 2

3.08

.93 2

1.39
1.34

PaD. 25
Theoretical B••• I Are.

elf

no thinning I, applloa)· 81$0
",slaual and removed baslll are•

I(tmovcd ond HaI'VCsted BBlel Areta

Theoretical BesalAre. e It no Ihlnnlng Is applied)
Residual 8MAI Are~(ofler thinnino~

12

•
-;r

10

..
IQ

b

e

8
)I(

~

'"

~

6

...

I!!

'"

.,

~

II(

•

lI<

•

to

0

•

A. qtAV'o!.".

*

*

,,

c;

"

10

O"9"'U.II'

"*

'"

'"

•

•

5

*

, lK ,..

• If

..

'" •

A A

,~

(

A

I.>

•

~GWM growth

)I(

•

1Il

2

...

«

..: IoE

~

>E
1« II'

lIE f,

15
Ago ey

20

•
25

30

•• ,,

P'o' 26
OMP ""'. A'''.I ,,~
OIl~II'"1

I
I

..:/.,1'.i ,1I.1..,'u.·.· ,·,',""II"I,mu ....,.",.,
,..,
t;l'<fllrt•• :'I'("''''I~' ~'tf~,r.I: ~d~,' %/JNC :Il!.,. )~~1'I +"IIOI"~'rl
'1.'1.
.'tV
.'H:
+jo:r,,·::
"i!'''m.-''·Q~6'.. 1 111·''''NI:i',.,~ n "0&',, ""I)..d,,-.,"IU"~,1!1j'l-3."·)
..
..,

A. qtAY'OI.!)•• GWMgrowth 9'.9 ••

,n.II'

P'o. 27
Bibliography and References
Please note that numerous scientific reports, manuscripts and documents exist discussing Issues
relevant to this report. The list below does not Intend of course to be a full bibliography of such
matters. The catalog provided below Is to give credit and express acknowledgment to the authors of
work useful for the development of this technical report.
I. Blaney, H.F. and Criddle, W.O. t962. Determining

consumptive USc and irrigation wnter
requirements, U. S. DOIlI.Agr, Agricultural Research, Service Tech Bull 1275. 59p.
2. Vanclay.J. K. (20 I 0). Robust relationships 101'simple plantution growth models based on sparse
data. Forest Ecology and Management, 259(5), 1050-1054. doi: 10.10 16/j.f'orcco.2009.12.026
3. Wishnic, M. H .. Dent, D. H., Mariscal, E.. Deugo,.I .. Cedeno. N., lbarra, 0 .. Condit, R.• cr al,
(2007). Initial performance and reforestation potential 01'24 tropical tree species planted HcrOSSa
precipitation gradient in the Republic of Panama. Forest Ecology and Management, 243, 39-49.
4. Victor R. PEREZ, Pedro DELVALLE. Ricardo C. OVIEDO, Maria C. CANI3TE Y OUSIaVOR.
RHINER Carlos A. GOMEZ. Informacion dasometrica de una purcela experimental de Asrroniurn
balansnc engl. En I" provincia del chaco, Estacien Experimental Agropccuaria S,ien?. Pcnu
5. Cesar AuguSIO Guimarilcs ringer. Jackson Roberto Elcoierio Rule Berger. Paulo Rcnato
Schneider, CRESCIM [iNTO DIAMETRICO DO I'Au-rnRRO (Astronium balansac) EM
Rfll'LORESTAMENTO
NO MUNlclr'IO DE SAO SI3PE. RS, CieMcia FlorC8101,v.6. n.1. p.IOI108, ISSN 0 I03-99S4

6. C(:8,1I'Augusto Guimarilcs Finger, Paulo Renate Schneider, Rute Berger, Jackson Roberto
Eleotcrio. INVESTIOA<;:AO RETROSI'E(.VrtVA DO CRESCIMENTO VOLUMETRICO Dc "AUFERRO (Astronium balansuc). Ciencia Florcstal, Santa Maria. v. 13. 11. I, p. 131-136, ISSN 0 1039954
7. Arias, D., Calvo-alvarado, J .• Richter; D .• Dohrcnbusch, A .• COSH1.D.. lrcr, R.. Cartage, A., Cl at.
(2011). Productivity , aboveground biomass. nutrient uptake and carbon conrcnt in fast-grcwing tree
plantations ofnative lind introduced species in the Southern Region OfCOSLORica. Biomass unci
Bioencrgy, 35(5), 1779-1788. r.tscvier Lid. doi: 10.1 0 I 6/j,biombioe.2() I 1.0 1.009
8. Boley. J. D.. Drew, A. I'.• Andrus, R.. E., & Rica. C. (2009). ElYecls or uctive pasture . teak (
Tcctonu grundis ) and mixed native plunnuions on soil chemistry in Costa Rica. Forest Ecology and
Mnnugcment, 257. 2254-22(11, dol: I 0.1 (l16/j.lorcco.2009.02.035
9. Calvo-alvarado, J. C.. Arias. D., & Richter, D. D. (2007). Early growth performance of native and
introduccd fast growi ng treespecies in wet to sub-humid cl imares of the SOUlhcl'II region of Costa
Rica. Forest Ecology and Management. 242, 227-235.
10. Carlos. J., Usuga, L., Andres . .I., 'foro, R.. Vanessa, M., Alzarc, R., JCSiIS, A. D .. ct "I. (2010).
Estimation of biomass and carbon stocks ill plants . soil and 10rcSI floor in different tropical forests.
Forest Ecology and Management. 260( 10), 1906-1 C)13. Elsevier B. V.
doi: I 0.1 OI6~i.lOrcco.201 O.O~.040
II. Carpenter, F. L.. Nichols. J. D .. & Sandi, E. (2004). a. Early growth of native and exotic trees
planted on degraded tropical pasture, Forest Ecol. Mannge .. 196,367-378.
12. Craven. D. Dent, D .. Braden. D .. Ashton, M. S .. Bcrlyn, 0, fl., & Hall . .I. S. (2011). Seasonal
variability of'phorosynrheuc characteristics influences growth of eight tropical tree species III IWO
sires with contrasting precipitation in Panama. Forest Ecology and Management, 261 (10), 1643A, qr,y,ol.n.

~GWM grOWl"

9'.9."n.",

P'o' 28
1653. Elsevier B. V. doi: 10.10 16/j.forcco.20 10.09.017
13. Cusack, D., & Montagnini. F. (2004), The role ofnutivc species ptanrations in recovery
understory woody divcrslty in degraded pasturclands or COsta Rica. Forest RcolClgy nnd
Management, 188, 1·15.

Or

14. I.T.C.R. (Instituto Tccnologico de Costa Rica). (2007). Catalogacien en 111 uente. Kuru: Rcvista
F
Forestal, 4(4( II Y 12 especial). 2007).
15. Jerome K Vanclay and PetcrJ Sands. (2009), Calibrating the self-thinning frontier. Forest
Geology and Management, 259( I), R 1·~5.
16.l,.,cite, E. J. (2001). Spatial distribution patterns ofriverine
ForeSI Ecology lind Management. 140.

forest taxa in Alill. Brazil 8r(lsO.

17. Leite, G. J. (2002). Srate-of-knowlcdgc on Astronium fruxinifolium Schou (Anacardiaccae ) for
generic conservation in Brazil. Perspectives in Plant J2coloSY Evolution and Systematics. 5. 63-77.
I H. Luis. D.. Vieira. M .. & Scarier, A. (2006). Elrcels of logging . liana tangles and pasture on seed
fate of dry forest tree species in Central Brazil. Forest Ecology lind Manugcrncnt. 230.197-205.
dol: 10.10 16/j.lorcco.2006.05.002
19. Medina. G.. Pokorny, B., & Campbell, 13.M. (2009). Community forest management 101'timber
extmcrion ill the A mazon front ier, Internutiona I Forest ry Review, II (3), 408-420.
20. Montagnini. 8. B. F., F.. U.. L.. N.. & C. (2003). Growth characrcristics of some native I1'CC
species used in silvopasrorul systems in the humid lowlands of Costa Rica. 1I;roI'01'.SySI., 59. 163·
170.
21. Montagnini, P. (2000). b. Accumulation in above-ground biomass and soil storage of mineral
nutrients in pure and mixed plantations in a humid tropical lowland. Forest Ecol. Manage., 134( 1-3).

257-270.
22. Montagnini, Florcncla. Kannincn, M.• Piotto. D.. & II. B. (2004). Pure and mixed 1'0l'eSI
ptunrarlons with native species oCthe dry tropics of Costa Rica: a compurison of growth and
productivity, Forest Ecology lind Management, 190. 359-372. doi: 10.10 16/j. fOl'oco.2003.11.005
23. Petit, B., & Monragnini, F. (2004). Growth equations and rotation uges often native tree species
in mixed and pure plantations in the humid ncotropics. Forest Ecol, Manage .. 199.243·257.
doi: 10. I OI6/j.I'oreco.2004.05.039
24. Petit. B.. & Monmgnini, F. (2006). Growth in purl! and mixed plantlltions or tree species used in
reforesting 1'1111.1 ofthe humid region or COSh!Rica. Ccnl1'01America. Forest Ecol. Manage ..
areas
233.338-343. doi: 10.10 16/j,rorcco.2006.05.030
25. Piotto, D, Monragnini. F.• Ugalde, L., & Kannincn, M. (2003). u. Growth and effects of thinning
or mixed and pure plantations with native trees in humid tropical Costa Rica, Forest Ecol. Manage ..
177.427-439.
26. Arboles de Ccrnroarncrica (ABC). Centro Agronomico de lnvestigncion
Costa Rica

y Escenanza. Cartage,

27. Astronium graveolcns Jacq. (Jovillo, ron rcn ) lnsiruto Nacional Purn Biodiversidad, Especies
Disponibles. b)' Q
uirico Jimenez (Link: http://dul1Iis.inbio.ac.cr/FMf'ro·!-DB-UBljJub.l'p3&luy=WebAII&-l'ormul=/ubi/det!l il.html&·Op"bw&id=21 35&- Find)
A, qtAyIO!'"'

. GWM grow'h

9"""u'"1

P'o' 29
Alnn Chiu. Sarah Snow. "Sn1l111·Sc8Icrestoration efforts using mixedtree plantations in the path of the Tapir biological corridor, Costa Rica" Tropical Resources Bulletin.
Volumc 29, Spring 20 I0
28. Alvaro Redondo-Brenes,

29. Piotto. Daniel. Craven, D.• Montagnini, F.. & Alice. I'. (2009). Silvieulturnl and economic
aspects of pure and mixed native tree species plantarions 011 degraded pasiurclands in humid Costa
Rico. New Forests. 39(3). 369·:185. doi: 10.1007/8 II 05('·009·9177·0
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plantations in small and medium-sized farms in the Atlantic lowlands of Costa Rica, Forest Ecol.
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31. Global Land Cover Facility (GLCF), Goddard Space Flight Center (G$F(,,) (20II). Landsat
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of Economy. Trade. and Industry (METI) of'Japun and of the United Stutes National Aeronautics and
SI)UCe
Administrution (NASA)
33. USGS 20II. Global Land Survey. 1990. Landsat TM. PLATFORM LANDSAT5. IMAGE_ID
PO1'1R54_5T870 117. USGS, Sioux Falls. South Dakota
34. Probert, R. .I., Duws, M. I., Huy, F. R.. Botanic. R" Kcw, G., Place, W.. & Rh, W. S. (20090).
Ecological correlates of ex situ seed longevity:a comparative study on 195 species. Annals of
Botany, 57·69. doi: 10.1093/aob/l11cp082
35. Toledo. M. Cruz, W. Pariona y 13.Mostucedo. 2005. Plantulns de 60 Especies Forcstalcs de
Oolivia: Gula llustradn, 10rF, WWF. CIFOR. Santa Cruz, Bolivia. 72 Pag.
36. Alexandra August! Boligon Solon Jonas Longhi Augusto Bolson Murari Cristiano Huck.
Aspectos iitQssociol6gicos de um fragmentc da florcstu natura! de Asrronium balunsae cngl., no
municipio de Bossoroca. RS. Ciencln Rurnl, Sant" Maria. v35, n.S, 1'.1075·1082. set-out, 2005 ISSN
0103·8478
37. Jaqueline MacMo GOMES, Joiio Oleg6rio Pereira de CARVALIIO, Marcela Gomes da SILVA.
Oeusa Nom Viana NOBRE. Marisol TAFFAREL, Josue EvancJro Ribeiro FERREIRA. Rnimundo
Nonato Jesus SANTOS. Scbrcvivencia de especics arborens plantndas em clareirus causadns pcla
colheita de madeira em uma floresta de terra flrme no municipio de Paragominas no Amazonia
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VOL
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38. Aline Emy Kitamura. Marlene Cristina Alves, Luiz Gustavo Akihiro Sanches Suzuki & Antonio
Paz Gonzalez. RGCUPERA('AO DE UM SOLO OEGRADADO COM A APLlCA(' AO DB
ADUBOS VERDES E LODO DE ESGOTO. R. Bras. Ci. Solo. 32:405.416. 2008
39. "Atlas Climmologico de Costa Rica' I<)SS.Institute Mercorolcgico Nacional San Jose, Costa
Rica. Ccntroamerica
40. Boletln Mcrcorologico Mensual. lnstituto Mcteorolcgicc Nacional Sun Jose. Costa Rica.
Ccm roumcrica

41. ASSOCIATION DE SUBGROUPOS DE SUELOS DE COSTA RICA (MAI'A PRELIMINAR).
OPICINA DE I'LANIFICACION SECTORIAL AGROPECUARIA. FINACIANCIO DE
INSTITUTO NACIONAL DE SECUROS. ELABORO: SAMUEL I'EREZ. ALFREDO
ALVARADO y ELIZABETH RAMIREZ. COLABORO: DR. ELLIS Q. KNOX. FECHA: MARZO
A,gr4voolonl . GWMgrow'h 9"9"'U.'"

Pogo 30
19n,

42, Allen. ItO,. Pereira, L,S" Raes, 0, and Smith, M, 1998, FAO 56 FAO Irrigation and Drainage
Paper No, 56
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SORR.E LA F'ERTILIDAI)TRES SUELOS ACIDOS DE COSTA RICA", Agronomia Cosmrriccnse
11(1): 1-15, 1987
44, Institute Meteorologico Nacional San Jose, Costa Rica, Centronmerica. Datos Climaticos,
lnstinuo Mcteorol6gico Nacional Website
45, "Atlas Climarologico do COSlaRica" 2010. Institute Mctcorologico Nacional San Jose, Costa
Rica, Ccntroarncrica
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M. B., & Andrade. L. Ii, C. (200S). VACUUM rYROLYSIS OF ASTRONIUM URUNDEUVA .
Journal Of Thermal Analysis. 93, 915-919,
47. Enquist. B. J., west. 0, IL Charnov, E, L., Brown, J, H.. Santa. T,. Road. H. p.. Pc, S.• Ct 01.
0999). Allometric scaling of production and life-history variation in vascular plants. NATURE
(Letters to Narurc), 88(CI), 907-912.
48, Technical Report 141: Sands J'J (2004) Aduptation of 3-1>0 to novel species : guidelines lor data
collection and parameter assignment. 34 pp Cooperauve Research Centre for Sustainable rroduction
Forestry, CSI RO Forestry and Forest Products. Australia
49. Technical Report 126: Sands PJ (2003) Process-based models for forest management _
integrating determinants or growth into practical management systems. 30 pp Cooperative Research
Centre fOI'Sustainable Production Forestry , CSIRO Forestry ami Forest PI',)duCLS,
Australia
50. Tcchnlcal Report 124: Sands I'} (2003) Paramoterisation and application 01'3·1'0 as a
management 1001101'Eucalyptus grundis in South Africa report on a visit to the Institute lor
Commercial Forestry Research, August-September 2003.5 pp. Cooperative Research Centre for
Sustainable Production Forestry. CSIRO Forestry and Forest Products, Austruliu
51. Avery. T.E., I3.E. Harold, 2002, Forest Measurements, fifth edition, Now York: McOl'ow-llill426
p.
52. Cltmatc Impact on Agriculture, CLIMI'AO. Environment. Climate Change and Bioencrgy
Division. FAO. Food and Agriculture Organization of the Uniled Nations, Viole delle Terme di
Caracalla 00153 ROl11e. ta ly (http://www.lbo.org/nr/climllug/illdex_cn.asp)
I
53. J.J. Landsberg, R.II. Waring, A generalised model of forest productivity using simplified
C()IICeplS of radiation-usc efficiency, carbon baluuce and partitioning, Forest Ecology and
Management, Volume 95. Issue 3, I August 1997, Pages 209-228, ISSN 0378-1127
54. Fredericksen. T. S., & Mostaccdo, B. (2000). Regeneration oftimber species following selection
logging in a Bolivian tropical dry forest. Forest Ecology und Mnnugcmcnt, 131. 47-55.
55. Griess, V. C.. & Knoke, T. (2011). Can native tree species plantations in Panama compete with
Teak plantations? An economic estimation. New Forests, 13·39. doi: 10.1007/s II 056-0 I0-9207-y
56. Healey, S. P., & Gara, R. I. (2003), Thc effect of II tcuk (Tectona grandis) planuuiou on the
establishment of native species In an abandoned pasture in Costu Rica. FOI',Eco1.Manage .. 176.
Ae qrAy.ol,ns

. GWM groWlh 9"9",n,n'

P,o. 31
497-507
57. Guias silviculturalcs de 23 espccics forestatcs del bosque humedo de Honduras . Proyccio PD
022/99 Rcv.2 (1') Estudio de Comportamicnto de Espccies Madcrablcs Nativas con lrnponancia

Comercial del Bosque Humcdo Tropical en Honduras (PROECEN) Escuela Nncional de Cicncius
rorcsutes (ESNACIFOR) Organizacion lntcrnacional de las Maderas Tropicalcs (OIMT)
58. NonlinXL: a 1001fOI' lilling non-linear Excel-bused models 10 observed data. Version 1.0.
September 2010. I'CICI' ands. 39 Oaklcigh Av. Taroona , Auslraliu 7053. cmail:
S
p.jsNumcri cs@nclspace.ncl.au
51).Soils 1 Natuml Resources Conservation Service (NRCS). United States Department or
Agriculture (USDA) hllll:llsoils,usdll.govl
60. Dr. f'Clcr Sands , 39 Oak leigh Av. Taroona .Australia 7053 • email:
pjsN umcrics@nclspocc.nel.au

Acknowledgments
ACknowledgments are owned to seientiric work of certain authors. work which was valuable for the
completion of this study. More specifically:

Dr. Peter Sands. 39 Oukleigh Av. T<1rIlOnU
.Australi» 7053. email: pjsNu111crics@nclspacc.nc!.ulI
for the total of his work as mentioned in the "Bibliography and References" lind also in "Software
Resources" paragraphs Ill'this report.
A specific acknowledgment

is owned to authors (or their scientific work below:

Vanclay. .I. K. (20 I0). Robust relationships for simple plantation growth models based on
sparse dahl. Forest Ecology and Managcmcm. 259(5), 1050-1054. doi: I0.1 ()16~j.tbrceo.2009,12.()26
Guias silviculturalcs de 23 especies torestalcs del bosque hU111Cdo l londurns . Proyecto
de
PO 022/99 Rcv.2 (F) Estudio de Comportamiento de Especics Maderahlcs Nativas con lmportancia
Cornercial del Bosque I I<tmedo Tropical en l londuras (PROECEN) Escuela Nncional de Ciencias
Forestules (ESNACIFOR) Organizacion lnternacional de las Maderas Tropicales (OIMT)
Cesar Augusto Guimaracs Finger. Jackson RobcI10 Elcolcrio Rule Berger, Paulo Rcnato
Schneider. CRESCIMENTO DIAMETRICO DO I'AU·FERRO (Astronium balnnsae) EM

REFLORt:iSTAMENTO NO MUNIciPIO
108. ISSN ()I03-9954

DE SAO SE RS. Cii!ncia FloreSlul. v.6. n.l. p.IOI.
PE.

Cesar Augusto Guimariles Finger, Paulo Renate Schneider, Rute Berger, Jackson Roberto
Bleoterio. INVESTIGAc;:AO IU.lTROS('ECTlVA 1)0 CRESCIMIiNTO VOLUMETRICO DE PAU·
FERRO (Astronium balunsae), Cii!ncin Florcstal, Santa Maria, v. 13, n. I, p. 131-136. ISSN )1039954
Finally, gratitude is expressed to certain organizations for Ihelr publication ot data sets, scientific
research and bibliographic resources:

AegrAyeo!,",

. GWM gCOWlh 9."'.'D.OI

Pog. 32
CATIE. Centro Agronornico de Invesrigacion

y csc,~n"nZH,Cartage. Costa Ricu

GCL).'. Globnl Land Cover Facility, University of'Marylund. Maryland, U.S.A.
European Soil Portal, Land Management & Natural Hazards Unit, Institute lor E
nvironment
and Sustainubility, Joint RCSCHrch Centre. European Commission
1'10. Food and Agriculture Orgnnizntion
Caracalla
00153 Rome, ltuly www.fao.org
Library 01; National Documcmation

of the United Nations, Viole delle Tcrmc di

Centre, 48 Vassilcos Constantinou

Av. GR-11635.

Athens

Software resources
Several software resources/packaqes were used for the realization of this assessment:
Microsoft Windows XP Professional
Microsoft Excel
Openofflce.org 3.2.0
Deblan GNU/LInux . codenamed "squeeze". amd64
Deblan GNU/LInux , codenamed "squeeze", 1386
Grass GIS 6.4.0RC6 (2010)· GRASS Development Team, 2010, Geographic Resources
Analysis Support System (GRASS) Software, Version 6,4.0, Open Source Geospatlal
Foundation, http://grass.osgeo,org
Ouantum GIS (OGIS) version 1.4,0 Enceladus
Scribus, Open Source Desktop Publishing
Grett, Gnu Regression and Econometrics Library
NonllnXL : a tool for fitting non-linear Excel·based models to observed data, Version 1.0,
September 2010 , Peter Sands, 39 Oaklelgh Av, Taroona ,Australia 7053 , email:
pjsNumerics@netspace,net.au

About this document
This technical report for potential plantation growth estimation for this particular GWM site In Golfito.
Puntarenas, Costa Rica was developed by Dimos p, Anastaslou <dpa@bi04met.com>, Papaflessa
, 5, Lamia, Greece based on agreement with Greenwood Management. Author welcomes any
comments, questions or suggestions at rrom anyone Interested,
The document is a description or tha total of work carried out for this assessment and includes
spatial and non-spatial databases, software, spreadsheets, vector and raster data, bibliographic
material. scientific manuscripts and reports. It was developed using PC workstations running on
Deblan GNU Llnux and Windows XP operating systems, with spreadsheet and other specialized
software, More details of the resources used are provided In the references and bibliography
sections of this document.
A, qray.o',n,

. GWM groWlh 9"9 ••

,D.'"

P'o. 33
GW Group Technical forestry report astronium Costa Rica

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GW Group Technical forestry report astronium Costa Rica

  • 1. Technical Report Assessment of future potential growth of single species forest plantation of Astronium graveolens at a GWM site Golfito Canton Puntarenas Province Costa Rica Version 2, 21-03-2012
  • 2. Table of Contents A few useful terms I ntroduct ion and .3 rillionalc ...............•... , Location , 7 , , 7 Native species plantations The tree species in quesuon " Diseases ..,,,,, , Climate " " , 8 9 ,1 , Climatic wurcr balance . I, rcc."rpuauon " , 10 " , I0 10 , ,, Temperature , , ,.."", , " 11 , , , " , 11 Tomlin and topography 16 Future plantation growth potential. 21" Assumptions lind cuveats , 22 ,.. , 22 GIS and IT Future document updates , , , Bibliography and References Acknowledgements A.99yool.n! , this dOCl1111ent 4 GWMgrowth 1I""'ln901 22 28 , SOf1"'.lJ'C 1"esourt:os About , . 10 Evapotrunspirntion Soils " 8 •. ",.,.. , , , , ,.32 33 .33 Page 2
  • 3. A few useful terms Agroforestry plantation: briefly, a combination of a tree species plantation at the higher structural layer with a perennial or annual plant at the ground layer. and/or with Incorporation of beekeeping (ex. for acacia nower honey) and animal farming. such as caUle grazing. The general objective is to have a multipurpose system with many products, while also Increasing both structural and species diversity in comparison to a singe species agricultural system. and thus Increasing sustainability MAl: Mean Annual Increment. the mean annual variable growth per stand hectare PAl: Periodic Annual Increment. periodic (annual) change on variable growth per plantation hectare, per stand hectare Wood volume until 10 cm or 12cm diameter Inside bark: the stem wood volume produced with the upper (higher on the tree top) diameter to be 10 em without bark Vob: Volume outside bark, that is volume with bark (MAl Vob and PAl Vob accordingly) measured in cubic meters per stand hectare Basal Area: with the assumption that trees are cyclic perpendicularly. the surface of a cross section of the stand trees (here per hectare). measured in square meters in our case TPHa: Trees per hectare, the number of trees planted or standing per stand area for a given time period Total biomass: the biomass of the tree, with branches, leaves, twigs, bark and coarse roots, measured in tonnes per hectare DBH: Diameter at Breast Height. diameter of a tree measured at 1.35 meters height Mean DBH: Mean Diameter at Breast Height -per hectare, per stand, or per tree C02: carbon dioxide amount that is is absorbed by plants during their growth RNG:Random number generation: commonly also referred as RNG, it Is the result of several mathematical/statistical procedures to generate numbers according to a specific distribution or pattem Linear function: A mathematical and statistical term. meaning that 2 or more variables are related with a linear function when the increase of one of these variables, results to the increase of the other(s) Non linear function: A mathematical and statistical term, meaning in rough the opposite of the linear function explained above: that if two or more variables are related ncn-Ilnearly, the increase of one may resuit In an asymmetric change of the otherts). A, gravtOI!lIl' 4 GWMgrowth (I""'lne", Page 3
  • 4. Genfll'ill overview of I.h0.GI;VM site locatlon , AT£A1VT.lCY OC'EAjT Cltl! (~I til(u:i((() .""',... ; fU'/bbNUl ,$'('(1 PACIF.fO OCEAN o 1 0 1 '.flAPOe~ollp~o~: G*nerAl o~tvl(t' lllhe OOIUltry 01 Cb$13' Rle" and r'I!l!)hboring oounhip.~ ( 000(lJI1I810 A,ol"rone<.! S)·Slum: ...EPSG; '1326 I D41tuSourcos; G!oboIAdmlniSlmU'1) AUlnc (Ond CIU~110NJ'lllIhln), wilw.gtontorg IS! hUP:"/,,w,gtonl.Orglnboul ..
  • 5. HO{liol1.t1 overview of tho GNfVI siln location • . .. (!m'i./)/J(!() I) SI!.<t '"" GWM Site near Golfito Puntarenas Region CostaRica PAC1.PIO OCEA1V " I·' n o Ivl(1)O(tt'<Qflpl~I"I: A""IQnal overvle~'(II "'8 COllnilY Of C<)m~ AiCA ""'d: the <:lVJt... all ... IOOr'tion Co()nin~ueRitiaratlc. $),SI@ftl:/ EPSG; 4326 , Oec:lrrtli 08g«tes bato SOul(:()~: alobal AiJniluialrtJlttO AmOS ((int! IC tOUOIW '11111111'1), "'I,",y:gal.l!n.o{ll & tlllP~f:V'w.~al,)nl.OIQ"'&boul
  • 6. General overview of Golfo Dulce, Puntarenas, Costa Rica
  • 7. Introduction and rationale Agriculture and agricultural Investmenls of annual or seasonal crops, In their commercial and Intensive forms, eilher of small or larger scale, while providing the world's tiber and food. are also examined on their susiainabillty In the medium or short lerm, regarding C02 emissions, erosion, hydrology and several other environmental issues. And practice has demonstrated, that following certain good management practices, many economic, sociat and environmental goals can be satisfied simultaneously. For example, while water or wind erosion can be caused from deep plowing of agricultural lands and no field cover. surface plowing or mlnimat plowing and partial ground cover, reduce such effects. And while certain crops require significant water Inputs, others more adapted to each particular site may require less. Plus, Irrigation scheduling and crop water satisfaction models also work towards the sustalnabillty of water use. Also, one major Issue attributed to ptowlng agriculture, is sometimes the reduction of soil nutrients and organic maUer. Another way to overcome this Is, when feasible, plant tree species either in co-existence with annual crops (which is called agroforestry) or depending on the nature of the management, Invest In timber and biomass production by growing trees solely. Such practice has many benefits to the tocal structural and species biodiversity, hydrology, micro-climate. Increases organic matler deposition by tree litter-fail and thus benefits soli overall, usually does not require even surface plowing after site preparation and Iree establishment; plus, reacts as a protection measure to wind or water soli erosion. Especially when native species plantations are established, the environmental services provided reach a higher level, since such efforts are considered as a man made restoration of landscapes with natural vegetation. And these are Just a few of the benefits of tree plantations. While cash crops generate Income annually, biomass or timber plantations have a much longer lifespan. A discussed advantage is thai tree plantations In limes when there Is no damand andlor low price for the end product, can be left aside, managed and harvested when lhe market conditions are favorable, while at the same time they continue to grow and thus having a positive increase in end product quantity and quality. Fiber and food production are subjects of small or large Investments In the primary sector, either from small or larger land holders. Whilst these lnvestrnents appear a profitable solution for many, their returns always depend on the natural variability which innuences drastically the site productivity and thus any production. Usually, before any field trials and studtes or tests of tree plantation establishment (which may take a considerable amount of time to materialize), It is desirable to remotely collect, without any field visits or field assessments, as much data as possible and make a rough estimation of the tree farm productivity, in order to present risks and benefits of future investments. This is the need that this technical report tries to cover: a prior to site establishment and planting. rough estimation of site productivity and suitability. to be compared then, with the expert opinion and forest projections of GWM engineers and field foresters alike. Location Costa Rica, located between 8 to 12 degrees North of the Equator, is widely known for its natural wealth and ecosystems and parks. This biodiversity rich country hosts several research centers and projects studying natural habitats, their management, and also agriculture and forestry production. Southwestern Costa Rica, where the site under axamination is located. has generally very good conditions for tree growth. As in many other countries in the tropics, due to plant characteristics, climate and soil conditions, tree growth can be remarkably higher than in other parts of the world. The soil and climate conditions are Ideal for the primary sector, and sometimes the relatively lower quality lands for Intensive crop production can be preferred for agroforestry or forestry use. AI qrAv,ol,ns ~GWM growlh o"ollmont Pag.1
  • 8. The specific GWM site. is located very close to the southwestern. Pacific coast of Costa Rica. at the Canton of Golflto. near the City and airport of Golflto. nested in the Inner side of Golfo Dulce (Dulce Golf). Less than 2 kilometers on the southwest flows the Rio Coto Coronado river. while the sea shore of Golfo Dulce is a few kilometers away. It Is a hilly. low altitude area (70-200 meters above sea level) covered with vegetation and forest meadows. The property covers 170 hectares approximately. with moderate hili slopes. The climate is tropical, with more than 3500 mm of precipitation failing annually, while mean monthly temperature per year varies between 22-28 degrees CelSius. Native species plantations Plantations in their majority are made from species non-native to the country they are established. but come from similar ecologic environments, but even non native species plantations provide a range of environmental and soclo-economlc benefits, In addition to the production of biomass and timber, or other forest products. It Is widely discussed that tree orchard agriculture. or forestry plantations under certain management regimes, can provide several addltlonal benefits to the environment and society. A good praclice from a biodiversity perspective, It to plant nalive species In forestry plantations, since this is actually a man made restoration of natural forest vegetation which also provides soclo-economlc benefits. at an area which was previously grazing. agricultural or mining land. So. recognizing the benefits of forestry plantations. forestry management and research focuses also on the creation of man-made ecosystems that mimic and are very similar to natural ecosystems. but also provide the required fiber and economic benefits. Planting native tree species. or a combination of plant species, Is one of the ways used towards Increasing sustalnabllity of tree plantations. Native forest species which have not been reproduced and used in such management conditions and are recently Introduced to forestry plantation use. usually have a wider genetic variability. and thus morphologicat growth. and generally their behavior In plantations Is now being studied. The tree species In question Astronlurn graveolens Jack.. or Astronium Fraxlnlfollum sceu., is a broadleaved tree species (16) with habitat from Mexico all the way to Brazil (16.17) and Argentina (4). Its common name in Costa Rica is ron-ron (27). while also called diomate. and has many other common names In Central American countries. In Brazil It Is commonly called as Goncalo-alves (16) while there are other genus of that species attracting interest In their growth patterns (5.6). It has great genetic variability, and there are many other species of the genus Astronlum occurring In Central and South America(5.6), and there have been several efforts to concentrate and classify all the Information about the genus (17). Its a late pioneer or a secondary succession species, depending on the literature reviewed from various geographic regions. However. for Central America and speciOcaily Costa Rica. this Is considered a slow growing pioneer species. which is moderately shade intolerant as an adult. while It needs a lot of sun radiation during early growth. As reported by certain authors, it can survive at canopies dominated by TermlnaUaamazonia In mixed species plantings (28) or other mixtures (22). That is. although It is a sun loving. slow growing species. It tolerates shade and persists on the understory having low mortality levels on forest plantations dominated on the upper canopy layer by Termlnalla amazonia (28). This in turn. creates a practical basis to assume its potential to grow in mixed species plantings. A, gray,ol.n& • GWM growth ~I.,••m'fll Page 8
  • 9. In fact, there are various approaches on tha silviculture of the species as regards to tree plantations. Some authors recommend that its slow growth and branching habit make It unsuitable for single species plantations (26), while others have carried field trials with single species plantations with high Increments, us wood properties and density (0.85 up to more than 1.2 for certain species of the genus) ctassify It as a valuable timber, while It has atso high catorlfic value as fuet-wood. It has been Identified as one of the species tested for reforestation In Costa Rica (26), but the experimentation and thus data and information avaitable for the species Is not as extended as other native of exotic species in the country (Terminalla amazonia or Tectona grandls), which are ptanted In a larger scale, in the Region of Puntarenas and elsewhere. Its occurring In the wider locat area (ex. Rio Grande de Terraba) (27) In natural forests, and that Is a sign of general species adaptability to the location. Its wood is highly appreciated for its technical and appearance characteristics, and harvested In Its natural or man Influenced habitats, and there is a recognized need for its conservation (17) and protection, due to Increased harvesting as reported. Therefore, here Is a major biodiversity benefit In case of Investments In forestry plantations with Astronium graveolens: the species will be replanted and thus future natural regeneration to area converted to forest by the establishment of native species plantations; plus the pressure for logging the species will be removed from natural forests and protected areas, and soolal demand may rely on the forestry plantations for this timber resource. In agricultural tands, there are reports of Astronlum graveolens grown from coffee farmers as a shade tree at wide spacings, 6 by 6 meters or more. Sometimes Astronlum trees In coffee farms come from natural regeneration, other times are planted. In plantations, single species plantings In Costa Rica report a mean annual increment of 4-7 cubic meters per hectare (26, and citations within) in certain tocations. Diseases As a naturally occurring species, and without extensive plantation occurrence, one may assume that Its native pests and diseases are fewer than these of Intensively cultivated species (such as agriculturat cash crops or widely planted commercial timber species). In a recent study for plant diseases published on 2007 (14), there are 6 Insects and 6 pathogens reported for the species, but the geographic occurrence of them is In other regions (14) than Puntarenas, where this GWM site Is located. Also, there were no references in the literature for ron-ron diseases and damage to plantations. Also, In nature studies related to the species, an 85%-90% mortality (26, 28) Is reported for severat years In plantations with low levels (28) of management Input. A. graV.91.nl • GWM growth (l""'m9rll Pag.9
  • 10. Climate Climate and solis are two natural factors of crucial Importance for plant growth, and this Is why they are examined In as much detail as possible for this report. There are several sources of climatic and meteorological data, and for our assessment focus was given on the local data sources available from the Insituto Meteorologlco Nacional (IMN), of the Mlnlsterlo de Ambiente, Energla Telecomunicaciones (MINAET). Specifically, either local station data (44), and/or Meteorological bulletins (40), and also climate maps (39, 45) were used as the primary data sources . These original data sources were then used to derive other climate variables. such as evapotrasnpiratlon (1,42), several bloclimatic Indicators (42, 52), and also to Interpolate the climate for the GWM site location. Climatic water balance Climatic water balance presents In a quantitative manner the relalion between water Input and output entirely based on climate variables. Although based In the site Indexing methods foliowed the climatic water batance Is not required as all Indicator variabte white precipitation level and seasonal distribution is considered Important for the species, we Included this variable In our calculations since It can be used to estimate the temporal occurrence of xeric events. For example, as can be seen on several graphs of this report, there are certain months of the year that Climatic Water Balance is negative, which Is an Indicator of relatively xeric events. Astronlum graveolens occurs in areas with extended dry periods, and/or in geographic areas with receive much less precipitation than this site close to Golfito, Puntarenas, Costa Rica. Such climatic water balance equations could also form the basis to develop a system after tree establishment to derive plantation specific Water Satisfaction Index which can be frequently updated based on collected weather data. Precipitation Astronium graveolens Is usually a species of the dry forests of Costa Rica and Central America, but can grow well on higher precipitation tropical forest sites. Is less prone to xeric events and droughts than other native forest species used in plantations. and the higher precipitation level at this GWM site can cover well species water resources needs. There are reports of Ron-ron growth in Rio Grande de Terraba (27), which is located norther than this GWM site, but has similar precipitation conditions. Precipitation was examined simultaneously with other climate variables and indexes. Precipitation varies In the wider geographic area from approximately 4000 to 5000 mm every year, while a relatively dry period occurs for 2-4 months, as presented In graphical representations. Furthermore, as a secondary, proxy variable for defining the site suitability we have used the Climatic Water Balance, to estimate the seasonal distribution of xeric events. Temperature Temperature levels are within the habitat suitability for the species, based on the data sources reviewed. Interpolated data for minimum, maximum and mean temperature was analyzed and visually represented, and then compared with the upper and lower thresholds for the growing period of the species. As common sense Implies, since the species Is naturally growing In the wider A, gray.oltn, . GWM growth 018.",n9rll Paoe 10
  • 11. geographic area. the temperature levels (and generally climate) have at least a minimal agreement with the species requirements for growth. Additionally. satellite data (Landsat ETM Thermal Band) (31. 33) was used to examine the spatial distribution of temperature at a high resolution (60x60 meters) to have an overview of the variance of temperature at the wider site geographic location at the given temporal point o( satellite overpass (31. 33). Such analysis can be soen at the relevant maps published In this report. Evapotranspiration This variable is integrated Inside the Climatic Water Balance calculations. since It is one of the most Important figures when assessing plant growth. Evapotranspiration (1) Is usually less than precipitation (or the most months of the year (or the location examined. and In surpasses that variable (or a short xeric period or the year. This is In agreement with rough Astronium graveolens requirements (or precipitation deficits. Evapotranspiration calculations (1) are made using as Input the climatic data available (or Costa Rica (39. 40. 44. 45). Analytioal graphical presentations are provided In this technical report. In order to visually present to readers this variable. Also. the Incorporation of this variable to other bloclimatic Indicators using as guideline previous scientific work (52) was made to help towards the appreciation of the location conditions for plant organism growth. Soils As In the maps and data reviewed from Costa Rica (41). soils in our area belong at the Ultlsols (59) order according to the USDA ctassntcatlon system. suborder Typic Tropohumulls (41). which are deep and well drained ullisols. This is something also noted from local sources(41) where it Is reported that soli In this area are deep (profundo), with clayey structure. The local classification lor this order of the sons is similar to Latosol Pardo Amarelo. Various forest plantations projects have been carried out in similar soil groups. and although Uilisois or Latosols are considered with low fertility for direct Intensive agricultural use, are considered suitable for agro(orestry or forestry use. The moderately heavy clayey structure of the site soils can create some limiting conditions (or stand growth. since ron-ron grows optimally In alluvial and well drained sites (57). Forestry plantations with native species or exotic timber trees have been planted In several areas of Cost Rica with similar soli condilions (9), and productive natural forests also exist In Similarconditions. A,9@y.91,ns • GWM growth •••••• m9nt Pag. 11
  • 12. MC!an Minimum 34 ,-----,--M•• n MOlClmum ~mp. ICeISluS) M~inlmum Temp...(fe!IUI) 32 1-/ .. 30 __ Dnd MI)(imum TbmplY3ruro ------ • .~ JIJ • !:/. ~ 28 J3 • ~ 26 ~ ~ 24 22 ·----~----~----.~~~ __ ~)(----~l*(----~)~I~ ~( X 20 I....dA==:li!):(;:::_ ----- • ~------~---- 6 B 10 Mont hs (JDnu~ryto OOcen,bar) Relative f,oquency of rain days par month 0.35 0.3 0.25 ~ • & .t 0.2 • » " ~ 0.15 0.1 0.05 , 10 15 20 2' RAIN DAYS A, gtay.OI.n •• GWM growth " •• ,aamon' Paoe 12
  • 13. R.~O of Pl'll,lplt3tlon • .0 Evapotransplrallon (IndO, d.velopOd based on FI>I) ubllcallonSI p L."rgcr tllrtn 1: Htllnld period - ! 3.5 e 3 - ~ e 'a ~ 2.5 g 8. ~ w , 2 S " ,(l r 1.5 I I 0.5 ~ o 2 - -6 B - - 10 .. 12 Month.!: Oillnubry to Docember) A,sr.yoOI,!), 4 GWMgrowth (l1"'Imont Poue 13
  • 14. Hi(Jh resoluuon L(~lllpArnt.II(·BIllap from I.nncisat. I-:TM Hand I) " ~ N o " (.:; .. ~ ~ ~ N " 11)11(100.(1 ttS~OI)(l,<I 'I5'ar,o,a t~IOIXI,(I tlilOOO,g Gl'dt,h..li-'Wd I.I YU;:C5C Cclillut. 17.09 _ o 0, ,.rnlt 33.6 Map d.wlP1!on: High ",.ol.liOn te"'p.",,"re map for. g""n ems 01.. 0•• 111 Ttli. ",a"","'. •••. from 14102 :2000 Coordlnl.. R.flu.nOl $ylII.m: WGS84/UTMZONE '7N I EPSG 32817 I 'pOlI.u,m •..,,,,,.'7 •• lIp•• W<iSB4tdlrum.WClSB4 +unltl.nl +na_d." +lOrNga84.o.0.0 GWM"IG bordQ(O dAle 80"~6: Groo_Od MA".gOm6nl La~d.at lmagory: Global Land Coyor Facllky(GLOP),GOddordSpace FlightContol (GSFC)(201 II, LandlQt S"rio.. RoIIoc,ance, Land•• , & ETM., Global Land eouer Foej,iIYUnlva,OIIV01Maryland, CoII.~' Po"', ™
  • 15. Summary Statistics of iruerpolared climate variables Variable MC!A.II Median Minjluull. Minimum Temperature 21.22 21.43 0.20 2 21.85 Maximum Temperature 31.43 30.95 3O.J5 33.45 PI'celpIIOLiOI1 349.Q1 440.60 69.05 91.20 5 Mean Tempe nil lire 26.32 26.1.4 25.78 27.20 Variable ld.Oev. S C.V. Skcwncss Ex. kurtosis Minlmum Temperature 0.54 0.03 -0.88 -0.40 Maximum Temperature i.n 0.04 0.68 -0.92 Pl'ce.lpllOLiOo 195.24 0.56 -0.28 -1.54 ""f~anTemperature 0.49 .02 0 0.86 -0.65 Maxhnuill Inlerpol3tcd CU."3tlc vorloblas 600 Climatic etcr Balance (mml (Io'tl M.,o" Preclpltat!on (lnO'I (I.rtl Mean Temperature ("IU$I (rloht) SOD e E ,. c .. .I! 200 / , .~ Do 26.8 ~ 300 w 27 400 s - 27.2 ' / 266 I " :! !! 26.4 26.2 a i a e :s: 100 26 o 25.8 ry Perlal ·100L-----~--------~---------L------------------------------..J 2 4 6 a 10 12 rt1onUl.s U&IlUory to A, praY'OI9!)' 4 GWM growth 4•• Q •• m.nt 25.6 Orct.nber, Pooe 15
  • 16. Terrain and topography Slope, aspect and topography are generally Important variables for tree growth, as they influence also sun radiation, temperature, local hydrology and soli drainage, temperature variation and generally the micro-climate of the site. Regarding slope percent, we have examined the site based on a 30 meter contour map, and spatial filtering revealed site areas with more than 15-20 % slope, which we consider as less suitable for ron-ron growth, according to literature. Additionally. the best place for ron-ron growth may be the lower slope and river bank parts with low Inclination, with greater alluvial and finer material deposits from up-slope. as Interpreted by literature and habitat suitability Indexing. GIS analysis was carried out for these variables using satellite Imagery as primary data input (32) In order to derive specific high resolution properties of the site. The resolution of this analysis was at 30x30 meters (as the original data(32)), or approximately at every 10nth of a hectare. Additionally, the wetness Index was developed, to provide a fuzzy classification on the relatively wetter and drier areas of the location. All this Information was Incorporated Into the spatial database developed to provide as final result visual representations of the analysis carried and to construct a site suitability map. Rcletfve ,patio! tll,l;rlbutloo of AJPfXt 'or each 1110Ho oreo of the GWM site ,....90dagrenl North, leOda!) Wast 270dog SOUlh 3GOd"lleo.t 0.07 r- 0.06 i '" l! ..... - 0.05 r- .. 0.04 ~ 0.03 ,.... ~ r- ~ F' 0 A, graytOI.o. r- - - - .-1:"": - - -I=; 0.01 ...., 0, 0.02 .., r- I' ~ ~ ....., r- r'o o so 4 GWM growth 4'f9'l!m9nl 100 150 200 250 A$pett (dagrQ~' lecreese countertlockwj,Q 0·360) 300 350 Poo. 16
  • 17. Morpholof) lcnl/Morphomal.ric o feil!'11res of I.hf~C;WM sil.,~ Coortlonate Reference S~em: WGSij4lI)TMZO~EI 7NI EPSG32e 17! ,plO!-utm •..,n8-17 .~lp .. w()S8' .I~. +dfltul11-WGS84 .funlt.. m tna_rteiA ""QWQl84-O.0,O GWM bordlll'l: Qr..nwaod Man.glmlnl Original DEMdala aou~: Earth RomOIOSonal~goala Analy" ConlOI lERSDAC),Dala eo" al'l)• plOouel 01100Mlnl8lry 01Ecano"". TlQdo.and Indullry (METI! of Jo.pan and 01tho UnttodSIaIO. ~alIOn.1 IoronautlCaand SpoeoIIdminlatrasJOn [NASA)
  • 18. Aspect map or the C;lVM site Iocauou "7000,.0 - ?470OC,Q Aipuct MbP "&Q~O • • ~ ~ ,.~. 0 _ .. ...... .~ " VIQllt South EMt • q " NOlth ~ ~ ~ " e 9I1l(.OOC,O ~ " Coordlnalo FlolG .,n¢O Systom: wtlS8411JTMZONE 17N I PSG 32&17 I .p"l.utm -zono. I7 ...,IP8ftwGS84 .CI8lum.WGS84 '"odtl$ ,towgil84"(),OO GWM aile border, data "OUL"C'~Gl'lerwmod MAnagement I.Indl.'lm.~.,y: G loblll.lrul eo .. , Fa.lllly (GLCFj, Cloddatd Spac. FI,ght Conti' tGSFO) (201 I), I.Indlll SuMa.. Rlf1aclanOi . ,""I,o-m L.ond8.t 1M" ET M.j.,Glebal L.ond CO'lO' FllCIllty UnlvolOoty 01 MGl'land. COIIOQQ PIlIk •
  • 19. Slope percent contour map of tho C;"1;1 site ~ ~ ~ ~ ~: , _- /, ~ --= (K ., ~ < " ! ')1. r~ 1 J 'l. ~ , B"4 •• ',/Iv -, ,jO'-!' ~ ~ Slope pf!irc~ntC:OI'tour Mnp - O%ilupfl 9""000.000 10% 5lop~ 1$ % ~I(lpe ",~" , - 20% sIOI>. ~I~ ~Iopc " ' Coollllna'" FltfIt .. nc. $l'IIlm: WClS84IUTMZONE7N i EPSO 32817 I .p"'l.u.m .",nl.17 .eUpo-WClS84 1 +!Uitum.IVOSB4 + •• ru .-flo_d." +IOWUIl&4.Q.G.O unlt QWM 1110 boIllO,., GIoO_ad M.nagQmonl O.lglnol OEM da•• GO."",: E.~h Aomo.o SOntlng 0.111Malylis Cenlor (ERSOAC).Dat. 8<1.1Il10 • pIOdUCi of the Mlnllcry of Economy,Trade, 1M Industry (METI)01Jopen and of the United Slates National AelOnau~ceand Scaee Ad""nl., ...~on (NASA)
  • 20. Dralnaqe map 01 the C·VM site (surtace runoft ill degrees) lU'J IiOQIOClII",1.I'f,CO r,ll"lo* ~ .. o 1711I EP~ )lS U'I'I1't"t' &~ f,(;~, .. I"'Q~ _ 1(1.;dllO'IM' url'Ce tlnoff .. .01" dC9rQQI. $url~co "Wlofi ~ 000"'1.010 RoIOlilnllO S)'8iom: WOS841UIMZONE 27':: velJ!~~,tl'f.t~ I'II,,)II ~ "'1oIol. "II 109 'tw,..',11A(.~I'ilj(JIt !In 1' ..... .'.... 11" ...,.. III',{,11 320111 +l>lOjOOjlm ...ono.17 "11D .. WOBse +d.,um.WGS84 +Unll...,.._no do•• ,owgS84.0.0.0 GWMtile bolOe,.:I.lrae'_d Meneo.meot Original OEM data .oulte: E.rth Remote 8enslno 0.10 "'"''I'll. ,..nw (ERSOACi_Clot •• ,. ant a PIOdu", of mo Mlnl.l'/ • of EocJr'lorny, rtadl. atld Indul'lry lMEn) at Jipan and oil",. United St.... National Aeronautlca and SPIOI Admlnl8lrilIOn (NASA)
  • 21. Future plantation growth potential Generally, Ron-ron is considered a rather slow growing species In Costa Rica, and also In Brazil (Gonceto-Aives), with mean annual increments In DBH of 0,6 to 1,0 em, although there are some cases reporting higher growth. In Honduras it Is reported as growing with significantly higher rates during early age, especially at good alluvial sites. In Argentina, It Is studied as plantation species and at later growlh stages, In dry sites of 800 mm of precipitation annually (4). The genetic variability and also the variation of environments that the species grows may be responsible for certain growth variation in these reports. Additionally, since It is a native forest species with current efforts for Its conservation and systematic propagation, Ihe inbreeding and selective breeding of the species under controlled conditions may be limited and therefore physiological and morphological traits affecting growth of the species present high variation, However, as noted by various organizations and authors (ex. FAO) this genetic variability that plant, tree and crop species present Is one main reason for lood production and security in our world, and thus can result to benefits in forest management too. Such genetic variability results to different responses to diseases, pests and environmental conditions for crops and trees. Thus, although Ron-ron trees may not systematically be as homogeneous in growth and traits as Teak trees for example (which are selectively breed and grown for their valuable timber all over the tropics and sublropics and therefore their genotype and phenotype Is more standardized for a given variety), due to their higher variability, but there are other certain advantages that can make up for this Inhomogeneity. Certain growth models reviewed for Ron-ron provide linear functions for Its growth, as a function of volume Increment with age. Other models are originating from Brazil (5, 6), provide growth models for Astronium balansae, which Is in the genus of Astronlum. Another study from Honduras (57) provides growth equations for the first six years of growth for the species of Astronlum graveolens for various growth scenarios based on site quality. Also, dendrometric Information for Astronium spp grown at plantation conditions at a region of Argentina is included In scientific work (4). Similarly. useful Information about Astronlum early growth Is provided from a study In Panama (3), where 24 tree species were tested in a field trial documenting early growth. There were several studies of soil treatments and their effect to Astronium genus species growth in Brazil (6, 36, 37, 38), which Is usually planted at latosol solis but In environments with much less preclpitation than the site studied In Costa Rica. Generally, species prefers well drained soils, and does not tolerate waterlogged or prefer heavy clay solis, but can grow on the later too. Astronlum spp, biomass allometric relationships was also a subject (47) of a study in the tropics, which provides also another data source for the growth rates of the species. Recommendations for single species plantings propose dense Initial pattems, to avoid tree branching and promote strong eplcormlc growth (26). The species has usually satisfactory levels of mortality In plantations, A suitability classification was also considered for the needs of this study for Ron-ron, based on reviews of published reports (26, 28), The species although Is studied from various aspects we have not found any representative growth models or yield tables for South Costa Rica. Based on the scientific work and reports reviewed for broad-leaf species growth at Golfito area we assume a mean dbh increment of 0,5-0,8 cm annually. Given that the goal of this study Is to model a full rotation of Ron-ron growth which spans 25·30 years or more, growth curves were fitted to the data mentioned In the previous lines in order to avoid any degree of subjectivity of using non-spatial developed statistical models from other geographic areas. The growth modelling approach for this Astronium graveolens study, conSidering as guidelines similar studies (5,6,57) was focused on the adaptation of growth modet equations (2) using specific methodology and software tools as developed by authors (60,58,15). Based on the found sources of Information for Ron-ron forest plantations In Costa Rica after bibliographic research, a regional growth mean estimate for Southwestern Coast was assessed. As in the tables A, grpy,OI9!l' • GWM growth " •• ,.monl
  • 22. provided for the most likely growth scenario for Ron-ron, a 30 year rotation period is selected with 1300 trees per hectare at year 1, with thinning events occurring every 5 years reducing by 25 % - 50'/0 the residual tree number during each operation (57), Higher Increments are also possible, but these would depend on various site-species factors which can be with more detail analyzed after plantation establishment. Assumptions and caveats One Important detail to note here Is that all sclentiflc reterences and bibliography are from peerreviewed journals and publications, and there is no doubt of their scientific accuracy, However, the use of such models by the author of this report In a wrong or subjective manner, does not mean of course that the used bibliography or the cited authors are Incorrect: rather its clearly the responsibility of the current author on the appropriate use of these, Climate data are estimated for the geographic area of Interest. Ideally. for a site assessmenl of plantation growth, one may have local time series of meteo data for the last decades, However, such data are not available before hand. as this is very often the case with agricultural or forestry production. Therefore on Initial estimations 01 site suitability and plantation growth. either researchers or managers use Interpolated data which may be less accurate and with coarse spatial resolution to represent local variability. However. this Is a very usual case, since detailed local data may not be available even after plantation establishment. Uncertainty In the assumptions and estimations made Is towards high levels. which can be limited when local ground tree and plantation growth data can be available after plantation growth. Verification of such projections can be made with actual ground sampling of existing Ron-ron plantations at the area aged 5-6 year old or later, and can be repeatedly updated in future periods, GIS and IT Mapping and GIS are a useful way to Integrate various kinds of data and derive results based on their combination. Apart from the usefulness of such tools to Integrate Information and extract results, the visual outputs, such as maps and graphs, can be useful even to non technical readers to see the tocation of lhe site and Its characteristics. Whal can be the benefits of such maps and dats available? First of all, one may see the data sources and methodology used and therefore to be able to evaluate Ihis study, Also, a reader may actually view the study location from the coordinates that are available In lhe various maps provided. The Coordinate System used Is the WGS 84, UTM Zone 17N, which can be converted to any other system desired, Complete referencos are provided for the data-sets used, for the operating systems and software packages used. Both commercial and open source software tools were utilized In order to develop Ihls GWM study. Future document updates Such documents of working nature can be updated with the availability of ground data from plantation growth, Usually. a good conclusion of plantation potential can be made after the first years of plantation growth. from field foresters and plantation managers, A, g,.y.ol'!l' . GWM growth p.,olsmont Pao. :u
  • 23. Projecdol1s table· SMote ap*IS A(JI! (V .... ) TotaJ Volume (theoreticAl no thinning O'ClW'h) plMtAtlon 01 A.tronlum (p'lIiM)lanl R•• ich-al Undtrbar1C Volume to lOP dinn,el(!f O. 10 em J 2.3J 4 4.23 5 13,00 6 0.0< 7 11.92 8 1.4.71 9 17.&1 10 21.01 11 24,21 U 27.39 10 lI6 13 31),$3 12.1'>4 14 33.58 14.89 15 30,S' 17.32 16 30,3' lH) 17 41.97 10.32 18 44,41 21..9 19 46.83 23.72 20 4g.()4 ?G.OO 21 51.12 24.20 22 53.08 2G.l8 2l 54.113 28.19 2. 56.67 302$ 2G $8.33 32.35 26 59,90 20.99 27 61.41 2(14.4 2G 62,8$ 2089 29 1).1,2' 31.35 30 GSS8 32.81 underbft,k .92 0 3 to top dkumtero, 10 em 0.00 2 Va"""" "moved (lhinnlnglHftrvt,dng) To~1A,e~tH'AIMI Vol~lme At g,.,V.o10Il, . GWM growth ",o."non, 2.71 ,07 B 3.134 6,02 7.72 32.43 49,84 Page 23
  • 24. PlOjocliOll' tQble. Ag. (y•• '.) ThoorcOcnI QrOMh of bosal arctt Singto spoc::loSptantotlon of ASlrotium gravOOle,. RsldUtkI BaSAl Area (Rhor Ihlnting) e 1 0,00 2 0,68 0.68 3 1,37 1.37 4 2,05 2.05 5 2,72 2.72 6 3,39 2.76 7 4,04 3.34 8 4,67 3.89 9 5,29 ".4S I. 5,87 5.00 11 6,41 3.75 12 6,92 4.11 13 7,38 4.47 14 7,80 4,83 15 8.17 5.18 16 8,50 4.61 17 8,79 4.90 18 9,03 5.29 19 U4 M9 2. 9,42 5.79 21 9,57 5.00 22 9,70 5.34 23 9,81 5.59 24 0,00 5.83 25 9,97 6.07 26 10.03 5.33 27 10,00 5.50 28 10.13 5.87 29 10.17 5,83 30 10,29 5.89 Romovod and Harvel'led Bls41 Aroa At q(Jy.oI9n •. GWM growth 9., ••• ,u.ol 0,G8 2.50 1.30 1.4S 1.52 S99 Pago 24
  • 25. protecllons AIJO (yo... , ToUll Volul»e (theor.llcal orOMh) cfthto . Single specie" ptelt(al60n Of A$tmnlurn gravoolcns no I.!linnlng To Vo"",,,... MAl (thtor.tlc.tno tal thlnnlno Orowth) Tow Vo"'mt PN {Ihooretkal no thlnnlno growth) 0,00 0.00 2 0.62 0~1 0,82 3 2,31 o,n 1,49 • '.23 1.00 5 6,00 1.30 227 G 9,04 1.GI 2.6!I 7 U.02 11)9 2.77 8 JA.n 1,85 9 17.85 10 21.01 2.10 9.16 U 1.4.21 2.20 320 12 27.39 2,26 319 13 30.53 2.3& 313 " 15 33.56 2.40 3.0$ 10 3Ul 2,46 2.80 17 41.1l7 2,d7 2.00 18 44,• ., 2,47 2Jil 19 46.0:1 2.40 2.3G 20 40.0< 2.45 W 21 5,1.12 2.'3 2.08 22 53.0Il 2.41 1.00 23 !l4.9:1 2.39 IllS 24 56.67 2.:16 1.75 25 58.33 2.33 1.58 20 50.00 2.30 1.58 27 6..41 227 1.51 28 62.8G 2.2. 1M 29 04.2' 2.22 30 GB,!iQ 2.19 36.61 A. grAV'o!,!), ~GWM growth 9" •• "n.", .116 1 43 2. .92 1 .~ 2 3.08 .93 2 1.39 1.34 PaD. 25
  • 26. Theoretical B••• I Are. elf no thinning I, applloa)· 81$0 ",slaual and removed baslll are• I(tmovcd ond HaI'VCsted BBlel Areta Theoretical BesalAre. e It no Ihlnnlng Is applied) Residual 8MAI Are~(ofler thinnino~ 12 • -;r 10 .. IQ b e 8 )I( ~ '" ~ 6 ... I!! '" ., ~ II( • lI< • to 0 • A. qtAV'o!.". * * ,, c; " 10 O"9"'U.II' "* '" '" • • 5 * , lK ,.. • If .. '" • A A ,~ ( A I.> • ~GWM growth )I( • 1Il 2 ... « ..: IoE ~ >E 1« II' lIE f, 15 Ago ey 20 • 25 30 •• ,, P'o' 26
  • 27. OMP ""'. A'''.I ,,~ OIl~II'"1 I I ..:/.,1'.i ,1I.1..,'u.·.· ,·,',""II"I,mu ....,.",., ,.., t;l'<fllrt•• :'I'("''''I~' ~'tf~,r.I: ~d~,' %/JNC :Il!.,. )~~1'I +"IIOI"~'rl '1.'1. .'tV .'H: +jo:r,,·:: "i!'''m.-''·Q~6'.. 1 111·''''NI:i',.,~ n "0&',, ""I)..d,,-.,"IU"~,1!1j'l-3."·) .. .., A. qtAY'OI.!)•• GWMgrowth 9'.9 •• ,n.II' P'o. 27
  • 28. Bibliography and References Please note that numerous scientific reports, manuscripts and documents exist discussing Issues relevant to this report. The list below does not Intend of course to be a full bibliography of such matters. The catalog provided below Is to give credit and express acknowledgment to the authors of work useful for the development of this technical report. I. Blaney, H.F. and Criddle, W.O. t962. Determining consumptive USc and irrigation wnter requirements, U. S. DOIlI.Agr, Agricultural Research, Service Tech Bull 1275. 59p. 2. Vanclay.J. K. (20 I 0). Robust relationships 101'simple plantution growth models based on sparse data. Forest Ecology and Management, 259(5), 1050-1054. doi: 10.10 16/j.f'orcco.2009.12.026 3. Wishnic, M. H .. Dent, D. H., Mariscal, E.. Deugo,.I .. Cedeno. N., lbarra, 0 .. Condit, R.• cr al, (2007). Initial performance and reforestation potential 01'24 tropical tree species planted HcrOSSa precipitation gradient in the Republic of Panama. Forest Ecology and Management, 243, 39-49. 4. Victor R. PEREZ, Pedro DELVALLE. Ricardo C. OVIEDO, Maria C. CANI3TE Y OUSIaVOR. RHINER Carlos A. GOMEZ. Informacion dasometrica de una purcela experimental de Asrroniurn balansnc engl. En I" provincia del chaco, Estacien Experimental Agropccuaria S,ien?. Pcnu 5. Cesar AuguSIO Guimarilcs ringer. Jackson Roberto Elcoierio Rule Berger. Paulo Rcnato Schneider, CRESCIM [iNTO DIAMETRICO DO I'Au-rnRRO (Astronium balansac) EM Rfll'LORESTAMENTO NO MUNlclr'IO DE SAO SI3PE. RS, CieMcia FlorC8101,v.6. n.1. p.IOI108, ISSN 0 I03-99S4 6. C(:8,1I'Augusto Guimarilcs Finger, Paulo Renate Schneider, Rute Berger, Jackson Roberto Eleotcrio. INVESTIOA<;:AO RETROSI'E(.VrtVA DO CRESCIMENTO VOLUMETRICO Dc "AUFERRO (Astronium balansuc). Ciencia Florcstal, Santa Maria. v. 13. 11. I, p. 131-136, ISSN 0 1039954 7. Arias, D., Calvo-alvarado, J .• Richter; D .• Dohrcnbusch, A .• COSH1.D.. lrcr, R.. Cartage, A., Cl at. (2011). Productivity , aboveground biomass. nutrient uptake and carbon conrcnt in fast-grcwing tree plantations ofnative lind introduced species in the Southern Region OfCOSLORica. Biomass unci Bioencrgy, 35(5), 1779-1788. r.tscvier Lid. doi: 10.1 0 I 6/j,biombioe.2() I 1.0 1.009 8. Boley. J. D.. Drew, A. I'.• Andrus, R.. E., & Rica. C. (2009). ElYecls or uctive pasture . teak ( Tcctonu grundis ) and mixed native plunnuions on soil chemistry in Costa Rica. Forest Ecology and Mnnugcment, 257. 2254-22(11, dol: I 0.1 (l16/j.lorcco.2009.02.035 9. Calvo-alvarado, J. C.. Arias. D., & Richter, D. D. (2007). Early growth performance of native and introduccd fast growi ng treespecies in wet to sub-humid cl imares of the SOUlhcl'II region of Costa Rica. Forest Ecology and Management. 242, 227-235. 10. Carlos. J., Usuga, L., Andres . .I., 'foro, R.. Vanessa, M., Alzarc, R., JCSiIS, A. D .. ct "I. (2010). Estimation of biomass and carbon stocks ill plants . soil and 10rcSI floor in different tropical forests. Forest Ecology and Management. 260( 10), 1906-1 C)13. Elsevier B. V. doi: I 0.1 OI6~i.lOrcco.201 O.O~.040 II. Carpenter, F. L.. Nichols. J. D .. & Sandi, E. (2004). a. Early growth of native and exotic trees planted on degraded tropical pasture, Forest Ecol. Mannge .. 196,367-378. 12. Craven. D. Dent, D .. Braden. D .. Ashton, M. S .. Bcrlyn, 0, fl., & Hall . .I. S. (2011). Seasonal variability of'phorosynrheuc characteristics influences growth of eight tropical tree species III IWO sires with contrasting precipitation in Panama. Forest Ecology and Management, 261 (10), 1643A, qr,y,ol.n. ~GWM grOWl" 9'.9."n.", P'o' 28
  • 29. 1653. Elsevier B. V. doi: 10.10 16/j.forcco.20 10.09.017 13. Cusack, D., & Montagnini. F. (2004), The role ofnutivc species ptanrations in recovery understory woody divcrslty in degraded pasturclands or COsta Rica. Forest RcolClgy nnd Management, 188, 1·15. Or 14. I.T.C.R. (Instituto Tccnologico de Costa Rica). (2007). Catalogacien en 111 uente. Kuru: Rcvista F Forestal, 4(4( II Y 12 especial). 2007). 15. Jerome K Vanclay and PetcrJ Sands. (2009), Calibrating the self-thinning frontier. Forest Geology and Management, 259( I), R 1·~5. 16.l,.,cite, E. J. (2001). Spatial distribution patterns ofriverine ForeSI Ecology lind Management. 140. forest taxa in Alill. Brazil 8r(lsO. 17. Leite, G. J. (2002). Srate-of-knowlcdgc on Astronium fruxinifolium Schou (Anacardiaccae ) for generic conservation in Brazil. Perspectives in Plant J2coloSY Evolution and Systematics. 5. 63-77. I H. Luis. D.. Vieira. M .. & Scarier, A. (2006). Elrcels of logging . liana tangles and pasture on seed fate of dry forest tree species in Central Brazil. Forest Ecology lind Manugcrncnt. 230.197-205. dol: 10.10 16/j.lorcco.2006.05.002 19. Medina. G.. Pokorny, B., & Campbell, 13.M. (2009). Community forest management 101'timber extmcrion ill the A mazon front ier, Internutiona I Forest ry Review, II (3), 408-420. 20. Montagnini. 8. B. F., F.. U.. L.. N.. & C. (2003). Growth characrcristics of some native I1'CC species used in silvopasrorul systems in the humid lowlands of Costa Rica. 1I;roI'01'.SySI., 59. 163· 170. 21. Montagnini, P. (2000). b. Accumulation in above-ground biomass and soil storage of mineral nutrients in pure and mixed plantations in a humid tropical lowland. Forest Ecol. Manage., 134( 1-3). 257-270. 22. Montagnini, Florcncla. Kannincn, M.• Piotto. D.. & II. B. (2004). Pure and mixed 1'0l'eSI ptunrarlons with native species oCthe dry tropics of Costa Rica: a compurison of growth and productivity, Forest Ecology lind Management, 190. 359-372. doi: 10.10 16/j. fOl'oco.2003.11.005 23. Petit, B., & Monragnini, F. (2004). Growth equations and rotation uges often native tree species in mixed and pure plantations in the humid ncotropics. Forest Ecol, Manage .. 199.243·257. doi: 10. I OI6/j.I'oreco.2004.05.039 24. Petit. B.. & Monmgnini, F. (2006). Growth in purl! and mixed plantlltions or tree species used in reforesting 1'1111.1 ofthe humid region or COSh!Rica. Ccnl1'01America. Forest Ecol. Manage .. areas 233.338-343. doi: 10.10 16/j,rorcco.2006.05.030 25. Piotto, D, Monragnini. F.• Ugalde, L., & Kannincn, M. (2003). u. Growth and effects of thinning or mixed and pure plantations with native trees in humid tropical Costa Rica, Forest Ecol. Manage .. 177.427-439. 26. Arboles de Ccrnroarncrica (ABC). Centro Agronomico de lnvestigncion Costa Rica y Escenanza. Cartage, 27. Astronium graveolcns Jacq. (Jovillo, ron rcn ) lnsiruto Nacional Purn Biodiversidad, Especies Disponibles. b)' Q uirico Jimenez (Link: http://dul1Iis.inbio.ac.cr/FMf'ro·!-DB-UBljJub.l'p3&luy=WebAII&-l'ormul=/ubi/det!l il.html&·Op"bw&id=21 35&- Find) A, qtAyIO!'"' . GWM grow'h 9"""u'"1 P'o' 29
  • 30. Alnn Chiu. Sarah Snow. "Sn1l111·Sc8Icrestoration efforts using mixedtree plantations in the path of the Tapir biological corridor, Costa Rica" Tropical Resources Bulletin. Volumc 29, Spring 20 I0 28. Alvaro Redondo-Brenes, 29. Piotto. Daniel. Craven, D.• Montagnini, F.. & Alice. I'. (2009). Silvieulturnl and economic aspects of pure and mixed native tree species plantarions 011 degraded pasiurclands in humid Costa Rico. New Forests. 39(3). 369·:185. doi: 10.1007/8 II 05('·009·9177·0 30. Piotto. Daniel, Montagnini. F.. Ugalde. L., & Kanninen, M. (2003). Performance of forest plantations in small and medium-sized farms in the Atlantic lowlands of Costa Rica, Forest Ecol. Managc., 175. 195·204. 31. Global Land Cover Facility (GLCF), Goddard Space Flight Center (G$F(,,) (20II). Landsat Surface Rctlcctance . Landsat TM & ETM+. Global Land Cover Focility University of Maryland, College Park. 32. Earth Remote Sensing Data Analysis Center (ERSDAC). Data sets nrc II product of the Ministry of Economy. Trade. and Industry (METI) of'Japun and of the United Stutes National Aeronautics and SI)UCe Administrution (NASA) 33. USGS 20II. Global Land Survey. 1990. Landsat TM. PLATFORM LANDSAT5. IMAGE_ID PO1'1R54_5T870 117. USGS, Sioux Falls. South Dakota 34. Probert, R. .I., Duws, M. I., Huy, F. R.. Botanic. R" Kcw, G., Place, W.. & Rh, W. S. (20090). Ecological correlates of ex situ seed longevity:a comparative study on 195 species. Annals of Botany, 57·69. doi: 10.1093/aob/l11cp082 35. Toledo. M. Cruz, W. Pariona y 13.Mostucedo. 2005. Plantulns de 60 Especies Forcstalcs de Oolivia: Gula llustradn, 10rF, WWF. CIFOR. Santa Cruz, Bolivia. 72 Pag. 36. Alexandra August! Boligon Solon Jonas Longhi Augusto Bolson Murari Cristiano Huck. Aspectos iitQssociol6gicos de um fragmentc da florcstu natura! de Asrronium balunsae cngl., no municipio de Bossoroca. RS. Ciencln Rurnl, Sant" Maria. v35, n.S, 1'.1075·1082. set-out, 2005 ISSN 0103·8478 37. Jaqueline MacMo GOMES, Joiio Oleg6rio Pereira de CARVALIIO, Marcela Gomes da SILVA. Oeusa Nom Viana NOBRE. Marisol TAFFAREL, Josue EvancJro Ribeiro FERREIRA. Rnimundo Nonato Jesus SANTOS. Scbrcvivencia de especics arborens plantndas em clareirus causadns pcla colheita de madeira em uma floresta de terra flrme no municipio de Paragominas no Amazonia brasileiraACTAAMAZONICA. VOL .40(1}2010: 171·178 38. Aline Emy Kitamura. Marlene Cristina Alves, Luiz Gustavo Akihiro Sanches Suzuki & Antonio Paz Gonzalez. RGCUPERA('AO DE UM SOLO OEGRADADO COM A APLlCA(' AO DB ADUBOS VERDES E LODO DE ESGOTO. R. Bras. Ci. Solo. 32:405.416. 2008 39. "Atlas Climmologico de Costa Rica' I<)SS.Institute Mercorolcgico Nacional San Jose, Costa Rica. Ccntroamerica 40. Boletln Mcrcorologico Mensual. lnstituto Mcteorolcgicc Nacional Sun Jose. Costa Rica. Ccm roumcrica 41. ASSOCIATION DE SUBGROUPOS DE SUELOS DE COSTA RICA (MAI'A PRELIMINAR). OPICINA DE I'LANIFICACION SECTORIAL AGROPECUARIA. FINACIANCIO DE INSTITUTO NACIONAL DE SECUROS. ELABORO: SAMUEL I'EREZ. ALFREDO ALVARADO y ELIZABETH RAMIREZ. COLABORO: DR. ELLIS Q. KNOX. FECHA: MARZO A,gr4voolonl . GWMgrow'h 9"9"'U.'" Pogo 30
  • 31. 19n, 42, Allen. ItO,. Pereira, L,S" Raes, 0, and Smith, M, 1998, FAO 56 FAO Irrigation and Drainage Paper No, 56 43, Manuel Antonio Lopez. Miguel Angel Gonzutcz "EFECTO DE DOS PUENTES DE CALCIO SORR.E LA F'ERTILIDAI)TRES SUELOS ACIDOS DE COSTA RICA", Agronomia Cosmrriccnse 11(1): 1-15, 1987 44, Institute Meteorologico Nacional San Jose, Costa Rica, Centronmerica. Datos Climaticos, lnstinuo Mcteorol6gico Nacional Website 45, "Atlas Climarologico do COSlaRica" 2010. Institute Mctcorologico Nacional San Jose, Costa Rica, Ccntroarncrica 46, Delbcn. J, It, .I., Candelorio, (" 0" Oliveira, F, p, 0 .. Sponioni, T, A.. Delbcn, A, A. S. T,. Coelho. M. B., & Andrade. L. Ii, C. (200S). VACUUM rYROLYSIS OF ASTRONIUM URUNDEUVA . Journal Of Thermal Analysis. 93, 915-919, 47. Enquist. B. J., west. 0, IL Charnov, E, L., Brown, J, H.. Santa. T,. Road. H. p.. Pc, S.• Ct 01. 0999). Allometric scaling of production and life-history variation in vascular plants. NATURE (Letters to Narurc), 88(CI), 907-912. 48, Technical Report 141: Sands J'J (2004) Aduptation of 3-1>0 to novel species : guidelines lor data collection and parameter assignment. 34 pp Cooperauve Research Centre for Sustainable rroduction Forestry, CSI RO Forestry and Forest Products. Australia 49. Technical Report 126: Sands PJ (2003) Process-based models for forest management _ integrating determinants or growth into practical management systems. 30 pp Cooperative Research Centre fOI'Sustainable Production Forestry , CSIRO Forestry ami Forest PI',)duCLS, Australia 50. Tcchnlcal Report 124: Sands I'} (2003) Paramoterisation and application 01'3·1'0 as a management 1001101'Eucalyptus grundis in South Africa report on a visit to the Institute lor Commercial Forestry Research, August-September 2003.5 pp. Cooperative Research Centre for Sustainable Production Forestry. CSIRO Forestry and Forest Products, Austruliu 51. Avery. T.E., I3.E. Harold, 2002, Forest Measurements, fifth edition, Now York: McOl'ow-llill426 p. 52. Cltmatc Impact on Agriculture, CLIMI'AO. Environment. Climate Change and Bioencrgy Division. FAO. Food and Agriculture Organization of the Uniled Nations, Viole delle Terme di Caracalla 00153 ROl11e. ta ly (http://www.lbo.org/nr/climllug/illdex_cn.asp) I 53. J.J. Landsberg, R.II. Waring, A generalised model of forest productivity using simplified C()IICeplS of radiation-usc efficiency, carbon baluuce and partitioning, Forest Ecology and Management, Volume 95. Issue 3, I August 1997, Pages 209-228, ISSN 0378-1127 54. Fredericksen. T. S., & Mostaccdo, B. (2000). Regeneration oftimber species following selection logging in a Bolivian tropical dry forest. Forest Ecology und Mnnugcmcnt, 131. 47-55. 55. Griess, V. C.. & Knoke, T. (2011). Can native tree species plantations in Panama compete with Teak plantations? An economic estimation. New Forests, 13·39. doi: 10.1007/s II 056-0 I0-9207-y 56. Healey, S. P., & Gara, R. I. (2003), Thc effect of II tcuk (Tectona grandis) planuuiou on the establishment of native species In an abandoned pasture in Costu Rica. FOI',Eco1.Manage .. 176. Ae qrAy.ol,ns . GWM groWlh 9"9",n,n' P,o. 31
  • 32. 497-507 57. Guias silviculturalcs de 23 espccics forestatcs del bosque humedo de Honduras . Proyccio PD 022/99 Rcv.2 (1') Estudio de Comportamicnto de Espccies Madcrablcs Nativas con lrnponancia Comercial del Bosque Humcdo Tropical en Honduras (PROECEN) Escuela Nncional de Cicncius rorcsutes (ESNACIFOR) Organizacion lntcrnacional de las Maderas Tropicalcs (OIMT) 58. NonlinXL: a 1001fOI' lilling non-linear Excel-bused models 10 observed data. Version 1.0. September 2010. I'CICI' ands. 39 Oaklcigh Av. Taroona , Auslraliu 7053. cmail: S p.jsNumcri cs@nclspace.ncl.au 51).Soils 1 Natuml Resources Conservation Service (NRCS). United States Department or Agriculture (USDA) hllll:llsoils,usdll.govl 60. Dr. f'Clcr Sands , 39 Oak leigh Av. Taroona .Australia 7053 • email: pjsN umcrics@nclspocc.nel.au Acknowledgments ACknowledgments are owned to seientiric work of certain authors. work which was valuable for the completion of this study. More specifically: Dr. Peter Sands. 39 Oukleigh Av. T<1rIlOnU .Australi» 7053. email: pjsNu111crics@nclspacc.nc!.ulI for the total of his work as mentioned in the "Bibliography and References" lind also in "Software Resources" paragraphs Ill'this report. A specific acknowledgment is owned to authors (or their scientific work below: Vanclay. .I. K. (20 I0). Robust relationships for simple plantation growth models based on sparse dahl. Forest Ecology and Managcmcm. 259(5), 1050-1054. doi: I0.1 ()16~j.tbrceo.2009,12.()26 Guias silviculturalcs de 23 especies torestalcs del bosque hU111Cdo l londurns . Proyecto de PO 022/99 Rcv.2 (F) Estudio de Comportamiento de Especics Maderahlcs Nativas con lmportancia Cornercial del Bosque I I<tmedo Tropical en l londuras (PROECEN) Escuela Nncional de Ciencias Forestules (ESNACIFOR) Organizacion lnternacional de las Maderas Tropicales (OIMT) Cesar Augusto Guimaracs Finger. Jackson RobcI10 Elcolcrio Rule Berger, Paulo Rcnato Schneider. CRESCIMENTO DIAMETRICO DO I'AU·FERRO (Astronium balnnsae) EM REFLORt:iSTAMENTO NO MUNIciPIO 108. ISSN ()I03-9954 DE SAO SE RS. Cii!ncia FloreSlul. v.6. n.l. p.IOI. PE. Cesar Augusto Guimariles Finger, Paulo Renate Schneider, Rute Berger, Jackson Roberto Bleoterio. INVESTIGAc;:AO IU.lTROS('ECTlVA 1)0 CRESCIMIiNTO VOLUMETRICO DE PAU· FERRO (Astronium balunsae), Cii!ncin Florcstal, Santa Maria, v. 13, n. I, p. 131-136. ISSN )1039954 Finally, gratitude is expressed to certain organizations for Ihelr publication ot data sets, scientific research and bibliographic resources: AegrAyeo!,", . GWM gCOWlh 9."'.'D.OI Pog. 32
  • 33. CATIE. Centro Agronornico de Invesrigacion y csc,~n"nZH,Cartage. Costa Ricu GCL).'. Globnl Land Cover Facility, University of'Marylund. Maryland, U.S.A. European Soil Portal, Land Management & Natural Hazards Unit, Institute lor E nvironment and Sustainubility, Joint RCSCHrch Centre. European Commission 1'10. Food and Agriculture Orgnnizntion Caracalla 00153 Rome, ltuly www.fao.org Library 01; National Documcmation of the United Nations, Viole delle Tcrmc di Centre, 48 Vassilcos Constantinou Av. GR-11635. Athens Software resources Several software resources/packaqes were used for the realization of this assessment: Microsoft Windows XP Professional Microsoft Excel Openofflce.org 3.2.0 Deblan GNU/LInux . codenamed "squeeze". amd64 Deblan GNU/LInux , codenamed "squeeze", 1386 Grass GIS 6.4.0RC6 (2010)· GRASS Development Team, 2010, Geographic Resources Analysis Support System (GRASS) Software, Version 6,4.0, Open Source Geospatlal Foundation, http://grass.osgeo,org Ouantum GIS (OGIS) version 1.4,0 Enceladus Scribus, Open Source Desktop Publishing Grett, Gnu Regression and Econometrics Library NonllnXL : a tool for fitting non-linear Excel·based models to observed data, Version 1.0, September 2010 , Peter Sands, 39 Oaklelgh Av, Taroona ,Australia 7053 , email: pjsNumerics@netspace,net.au About this document This technical report for potential plantation growth estimation for this particular GWM site In Golfito. Puntarenas, Costa Rica was developed by Dimos p, Anastaslou <dpa@bi04met.com>, Papaflessa , 5, Lamia, Greece based on agreement with Greenwood Management. Author welcomes any comments, questions or suggestions at rrom anyone Interested, The document is a description or tha total of work carried out for this assessment and includes spatial and non-spatial databases, software, spreadsheets, vector and raster data, bibliographic material. scientific manuscripts and reports. It was developed using PC workstations running on Deblan GNU Llnux and Windows XP operating systems, with spreadsheet and other specialized software, More details of the resources used are provided In the references and bibliography sections of this document. A, qray.o',n, . GWM groWlh 9"9 •• ,D.'" P'o. 33