SlideShare a Scribd company logo
1 of 8
Download to read offline
REPORT
Climate change-induced salinity variation impacts
on a stenoecious mangrove species in the Indian Sundarbans
Kakoli Banerjee, Roberto Cazzolla Gatti ,
Abhijit Mitra
Received: 11 April 2016 / Revised: 10 June 2016 / Accepted: 8 October 2016
Abstract The alterations in the salinity profile are an
indirect, but potentially sensitive, indicator for detecting
changes in precipitation, evaporation, river run-off, glacier
retreat, and ice melt. These changes have a high impact on
the growth of coastal plant species, such as mangroves.
Here, we present estimates of the variability of salinity and
the biomass of a stenoecious mangrove species (Heritiera
fomes, commonly referred to as Sundari) in the aquatic
subsystem of the lower Gangetic delta based on a dataset
from 2004 to 2015. We highlight the impact of salinity
alteration on the change in aboveground biomass of this
endangered species that, due to different salinity profile in
the western and central sectors of the lower Gangetic plain,
shows an increase only in the former sector, where the
salinity is dropping and low growth in the latter, where the
salinity is increasing.
Keywords Aboveground biomass Á Climate change Á
Gangetic plain Á Glacier melting Á Heritiera fomes Á
Salinity
INTRODUCTION
The patterns of salinity change can be used to infer changes
in the Earth’s hydrological cycle over the oceans, seas,
estuaries and bays (Wong et al. 1999; Curry et al. 2003),
and are an important complement to atmospheric mea-
surements (Bindoff et al. 2007). Estimates of changes in
the freshwater content of the global ocean have suggested
that the global ocean is freshening (Antonov et al. 2002).
The estuaries adjacent to the oceans have also been
affected in terms of salinity, but for the lower Gangetic
delta system, a unique situation has been observed owing
to connection of the Ganga–Bhagirathi–Hooghly River
system in the western sector with the Himalayan glaciers
(Banerjee 2013). The Farakka barrage discharge in this
sector built to increase the draft of the aquatic subsystem
for navigational purpose also exerts a regulatory influence
on salinity. The discharge of freshwater by this barrage on
regular basis results in the freshening of the system
(Banerjee 2013). On the contrary, the central part of the
deltaic lobe has lost its connection with the river system
(fed by Himalayan glaciers) since late fifteenth century
through heavy siltation, and the rivers and estuaries are
mostly tide fed showing an increasing trend in salinity
(Chakrabarti 1998). The footprints of global warming is
thus perceived in two contrasting ways in two sectors of
the deltaic complex: freshening of the estuaries of western
sector (Hooghly and Muriganga) due to melting of the
Himalayan glaciers, and increased barrage discharge and
salinification of the central sector (Matla and Thakuran)
estuaries due to expansion of adjacent oceanic water
(Mitra et al. 2009). The Bay of Bengal and its adjacent
estuaries are one of the less studied regions of the world
ocean, while being one of the most exploited water bodies
to benefit a sizeable fraction of the world population
(Holmgren 1994).
Mangroves are the most widespread tree communities of
the Gangetic delta, and their physiology is considerably
influenced by surface water salinity (Zaman et al. 2014).
Therefore, salinity alteration is clearly visualized in the
mangrove community by way of differential growth of
aboveground biomass (AGB) of sensitive species
(Komiyama et al. 2008).
Electronic supplementary material The online version of this
article (doi:10.1007/s13280-016-0839-9) contains supplementary
material, which is available to authorized users.
Ó Royal Swedish Academy of Sciences 2016
www.kva.se/en 123
Ambio
DOI 10.1007/s13280-016-0839-9
Long-term monitoring of hydrographical observations in
the lower Gangetic delta region in north-western Bay of
Bengal clearly indicates that the water temperature in this
part of the world oceans has risen at the rate of *0.5 °C
per decade (Sengupta et al. 2013; Mitra and Zaman 2015).
This rate is much higher than the globally observed
warming rate of *0.06 °C per decade (Solomon 2007), but
cannot evidently influence species growth in a local scale.
However, contrasting geophysical set up of the western and
central sectors has resulted in the variation of salinity
profile of the lower Gangetic system. The increased melt-
ing of Himalayan ice along with barrage discharge has
impacted the salinity to decrease at the mouth of the River
Ganga–Bhagirathi–Hooghly system, in the western sector
of the deltaic complex where it meets the Bay of Bengal
(Banerjee 2013). The Farakka barrage discharge con-
tributes substantially to dilute the salinity of the lower
Gangetic region, but it is difficult to segregate the noise
caused by human-induced factors (such as barrage dis-
charge) at this stage. A decadal surveys (1999–2008) on
water discharge from Farakka dam revealed an average
discharge of (3.7 ± 1.15) 9 103
m3
s-1
(Rudra 1996).
Higher discharge values were observed during the mon-
soon with an average of (3.81 ± 1.23) 9 103
m3
s-1
, and
the maximum of the order 4524 m3
s-1
during freshet
(September). Considerably lower discharge values were
recorded during pre-monsoon with an average of
(1.18 ± 0.08) 9 103
m3
s-1
, and the minimum of the order
846 m3
s-1
during May. During post-monsoon discharge,
values were moderate with an average of
(1.98 ± 0.97) 9 103
m3
s-1
as recorded by earlier studies
(Rudra 1996).
On the other hand, for the central sector, the increase of
*6 psu over three decades in salinity, *2 psu per decade
(Mitra et al. 2009), is much higher than that documented
(Solomon 2007) for the average in the Indian Ocean
(0.01–0.02 psu per decade). In a separate study, Curry et al.
(2003) found that the increase in salinity over the last
40 years in tropical Atlantic was on the order of
0.4–0.5 psu. This is a rate of 0.125 psu per decade, which is
an order of magnitude less than that observed in the study
area.
These evidences show that the estuarine complex at the
apex Bay of Bengal is a hot-spot for global warming, and
has the potential to act as a natural laboratory where impact
of climate change could be tested on mangrove vegetation
in short-term (over a decade) scale. The presence of rich
mangrove vegetation (34 true mangrove species according
to Mitra and Pal 2002) and stenoecious species, such as
Heritiera fomes, in the deltaic lobe commonly referred to
as Indian Sundarbans has imparted special significance to
the this area because of the possibility to test the impact of
salinity alteration due to climate change.
Here, we analysed the effect of changes in salinity on
the AGB change of the freshwater-tolerant mangrove
species Heritiera fomes (Family: Malvaceae, locally called
Sundari). This species is locally common and abundant in
some parts of its range such as the Sundarbans and in
Bangladesh, but has a limited overall distribution. In
Bangladesh and India, this species is rapidly declining
(Chaudhuri and Choudhury 1994). This species is found in
the upstream estuarine zone in the high intertidal region. It
prefers freshwater, and is fast-growing in low-saline envi-
ronments. It occurs in stands and grows up to 25 m. It is the
only Heritiera species that produces pneumatophores. This
species is a valuable commercial species for timber and is
planted in commercial plantations (fuelwood and con-
struction), but it is preferred for timber extraction in the
wild. There has been an estimated population decline from
50 to 80 % in the majority of its range (Malaysia) based on
decline of mangrove area due to coastal development and
extraction since the 1950s, primarily due to the clearing of
mangroves for rice farming, shrimp aquaculture and coastal
development (Chaudhuri and Choudhury 1994). No addi-
tional data are available to estimate decline over three
generation lengths (120 years). This species is listed as
Endangered (Chaudhuri and Choudhury 1994). However,
populations in India and Bangladesh are rapidly declining
and may qualify for Critically Endangered at a regional
level.
We collected 11 years (2004–2015) of in situ salinity
data and other physiologically important parameters (such
as water nitrate, phosphate and temperature) from two
Indian sectors (Western and Central) of the Gangetic delta
complex and Sundarbans in order to identify long-term
trends in salinity and to compare them with mangrove
AGB. In each sector, we selected three sampling stations to
monitor the aboveground biomass annual change (DAGB)
of Heritiera fomes (and other most common species as an
ancillary data) from 2004 to 2015.
MATERIALS AND METHODS
Study area
Data analysed in this study were sampled in six stations
(between 21°260
–22°130
N and 87°560
–89°090
E): 3 in the
western and 3 in the central sectors of the Ganges River
(Supplementary Table S1) from 2004 to 2015.
The Ganges River is shared by China, Nepal, India and
Bangladesh. The river has great importance for the socio-
economy of the co-basin countries. It is estimated that
about 410 9 106
people are directly or indirectly dependent
on the Ganges River (Mirza 1997).
Ambio
123
Ó Royal Swedish Academy of Sciences 2016
www.kva.se/en
The River Ganges is, thus a trans-boundary river of Asia
which flows through India and Bangladesh Sundarbans, a
mangrove-dominated delta complex in the inshore region
of the Bay of Bengal. At the apex of this bay, a delta has
been formed which is recognized as one of the most
diversified and productive ecosystems of the tropics and is
referred to as the Indian Sundarbans. The deltaic complex
has an area of 9.630 km2
and houses about 102 islands. The
western and central Sectors of Indian Sundarbans (Fig. 1)
have pronounced salinity variation.
The hyposaline environment of western Indian Sundar-
bans may be attributed to Farakka barrage discharge situ-
ated in the upstream region of Ganga–Bhagirathi–Hooghly
river system. The central sector represents a hypersaline
environment due to complete obstruction of the fresh water
flow from the upstream region owing to Bidyadhari silta-
tion since the late fifteenth century. Local people extraction
of timber and logging procedures did not differ between the
two sectors (Mitra and Pal 2002).
Aboveground biomass sampling
AGB refers to sum total of aboveground stem biomass
(AGSB), aboveground branch biomass (AGBB) and
aboveground leaf biomass (AGLB), which have been
estimated year by year (from 2004 to 2015) as per the
standard procedure:
Aboveground stem biomass (AGSB) estimation
The stem volume of 5 individuals of the species in 15 ran-
domly distributed plots (dimension = 10 9 10 m = 100 m2
,
then multiplied with a factor of 102
to express it in ton-
nes ha-1
) per each station (n = 75) was estimated using the
Newton’s formula:
V ¼ h=6 ðAb þ 4Am þ AtÞ;
where V is the volume (in m3
), h is the height measured
with laser beam (BOSCH DLE 70 Professional model) and
Ab, Am and At are the areas at base, middle and top,
respectively. Specific gravity (G) of the wood was esti-
mated taking the stem cores by boring 7.5 cm deep with
mechanized corer. This was converted into stem biomass
(BS) as per the expression BS = GV. The stem biomass of
individual tree was finally multiplied with the number of
individuals of the species in 15 selected plots. This exercise
was carried out for all the six stations distributed in the two
surveyed sectors of the Indian Sundarbans.
Aboveground branch biomass (AGBB) estimation
These branches were categorized on the basis of basal
diameter into three groups, viz.6, 6–10 and[10 cm. The
total number of branches, irrespective of size, was counted
on each of the sample trees. The leaves on the branches
were removed by hand. The branches were oven dried at
70 °C overnight in hot air oven in order to remove moisture
content if any present in the branches. Dry weight of two
branches from each size group was recorded separately
using the following standard equation:
Bdb ¼ n1bw1 þ n2bw2 þ n3bw3 ¼ Rnibwi;
where Bdb is the dry branch biomass per tree, ni is the
number of branches in the ith branch group, bwi is the
Fig. 1 Study sites in the Indian Sundarbans. The three western stations and the three central stations, all in India, are shown divided by an
imaginary red line on the map (coordinates are provided in Table S1)
Ambio
Ó Royal Swedish Academy of Sciences 2016
www.kva.se/en 123
average weight of branches in the ith group and i = 1, 2,
3,…,n are the branch groups. The branch biomass of
individual tree was finally multiplied with the number of
trees of the species in all the 15 plots for each station.
Aboveground leaf biomass (AGLB) estimation
One tree per each plot was randomly considered for esti-
mation. All leaves from six branches (two of each size
group) of individual trees of each species were removed
and oven dried at 70 °C, and dry weight (species wise) was
estimated. The leaf biomass of each tree was then calcu-
lated by multiplying the average biomass of the leaves per
branch with the number of branches in that tree. Finally,
the dry leaf biomass (for each station) was estimated with
the following equation:
Ldb ¼ n1Lw1N1 þ n2Lw2N2 þ Á Á Á þ niLwiNi;
where Ldb is the dry leaf biomass of selected mangrove
species per plot, n1…ni are the number of branches of each
tree of the species, Lw1…Lwi are the average dry weight of
leaves removed from the branches and N1…Ni are the
number of trees of the species in the plots.
‘‘Other species’’ AGB estimation
During the same time span of the study, the AGB of the
three most common species (Avicennia alba, Avicennia
marina and Excoecaria agallocha), within each study site,
was estimated (Supplementary Fig. S1), as an ancillary
data, by the same methods described above. Then, the
annual biomass change of the three species was summed
and referred as ‘‘Other species AGB’’. The mean total
annual AGB for ‘‘Other species’’ of Western sector was
149.13 ± 25.87 t ha-1
(range: 100.41 ± 14.32–185.25 ±
21.16), while the mean total annual AGB for ‘‘Other spe-
cies’’ of central sector was 172.30 ± 18.11 t ha-1
(range:
117.53 ± 13.81–215.71 ± 19.42). Differently from the
growth of H. forms, the AGB trends of these three most
common species (a proxy of the whole mangrove forest)
show no discrepancy between, and a constant increase in
both, the two sectors (Supplementary Fig. S1).
Phosphate, nitrate and temperature sampling
For each observational station, triplicate water samples
were collected from the surface (depth range = 0–25 cm)
at a distance of 50 m of each other and analysed for the
following parameters: nitrate (NO3-N), phosphate (PO4-P)
and temperature. A Celsius thermometer was used to
measure the surface water temperature. NO3-N and PO4-P
were analysed as per the procedure stated in Strickland and
Parsons (1972) and APHA (2001).
Statistical analysis
Because our data came from time series, to evaluate the
significance of the differences between the two sectors, we
calculated a pairwise non-parametric statistics, such as
Wilcoxon–Mann–Whitney (WMW) signed-rank test (Hett-
mansperger and McKean 1998).
Then, we calculated the Spearman’s rank correlation
coefficient, which is a non-parametric good indicator of the
significance level of a tendency in a time series (Daniel 1990).
We performed linear regression and residuals analysis,
and then we checked for (temporal) autocorrelation of
residuals (Tuljapurkar and Haridas 2006).
RESULTS
Prior to analyse the influence of our target parameter (salinity)
on H. formes, we analysed whether there was a significant
correlation between other physiologically important param-
eters (phosphate P, nitrate N and temperature T) and the AGB
change of this species. We plotted P, N and T in time (Fig. 2).
This figure shows no evident increasing–decreasing trend,
apart from a moderate rise of nitrate level in both sectors. To
check the significance of any potential relation, we performed
a Spearman’s rho correlation test. None of the coefficients
correlate significantly with AGB in both sectors (W: P-AGB
t = 0, p = 1; C: P-AGB t = 1.1, p = 0.29; W: N-AGB
t = 0.7, p = 0.5; C: N-AGB t = 2.02, p = 0.07; W: T-AGB
t = 0.97, p = 0.36; C: T-AGB t = 1.67, p = 0.13).
Then, we plotted AGB of H. fomes and salinity trends in
time (Fig. 3). Differences in AGB (U12,12 = 78; p0.01)
and salinity (U12,12 = 69; p0.01) between western and
central sectors were both statistically significant.
Spearman’s rho correlation coefficients for AGB and
salinity of western and central sectors were -0.92 and
0.85, respectively. Scatterplots show the correlation
between ABG and salinity in both sectors (Fig. 4), and
underline the fact that AGB and salinity in the western
sector are inversely proportional and highly correlated.
Linear regression analysis showed that AGB of H. fomes
and salinity relationship, in both sector, is highly signifi-
cant (W: t = -7.59, p0.01; C: t = 5.17, p0.01).
Residuals analyses showed no evident trend.
We also tested the temporal autocorrelation of the regres-
sion residuals, and we detected that both ACF and PACF were
within the lower and uppers confidence levels (at 95 %).
DISCUSSION
In this study, we showed the impact of salinity alteration on
the change in AGB of the endangered and stenoecious
Ambio
123
Ó Royal Swedish Academy of Sciences 2016
www.kva.se/en
Fig. 2 Temporal variations of phosphate (P, in lg l-1
), nitrate (N, in lg l-1
) and temperature (T, in °C) in the central and western sectors of the
lower Gangetic delta (annual mean values ± SD bars)
Fig. 3 Temporal variations of surface water salinity and aboveground biomass in the central and western sectors of the lower Gangetic delta
(annual mean values in psu ± SD and tonnes ha-1
± SD, respectively)
Fig. 4 Aboveground biomass values (ordinate) plotted against salinity levels (abscissae) in the western (a) and central (b) sectors of the lower
Gangetic delta
Ambio
Ó Royal Swedish Academy of Sciences 2016
www.kva.se/en 123
mangrove species Heritiera fomes (commonly referred as
‘‘Sundari’’). In the past, the species was abundant in the
lower Gangetic delta, but due to different salinity profile in
the western and central sectors, its populations currently
show signs of differential growth. In the western sector, the
change of the AGB is much higher than the central one
(Fig. 2), and this seems due to the different trends of
salinity, which increased in the central sector and
decreased in the western one. No other relevant factor
(such as nutrient level and water temperature changes) was
significantly related to the differential growth trends of the
two sectors.
On the global scale, coherent trends of salinity have
been observed and are characterized by global freshening
in sub-polar latitudes and a salinification of the shallower
parts of the tropical and subtropical oceans (Bindoff et al.
2007). Freshening is pronounced in the Pacific, while
increasing salinities prevail over most of the Atlantic and
Indian Oceans (Wong et al. 1999). Alteration in salinity
profile is highly region-specific, and is a function of geo-
physical set up, current pattern and climatic conditions of
the area (Curry et al. 2003).
Differentcauses(discharge,precipitation,run-off)increase
thedilutionfactoroftheHooghlyestuaryinthewesternpartof
Indian Sundarbans—a condition for the better growth of the
fresh water-loving Heritiera fomes biomass. On the contrary,
the Matla estuary, in the central sector of the Gangetic delta,
does not receive the freshwater discharge on account of sil-
tation of the Bidyadhari River, which may be the cause for
stuntedgrowthandextinctionofthespeciesinanenvironment
of increasing salinity.
Although the water temperature increase is uniform in
both the sectors, there could be two reasons why the man-
grove populations of some species, such as Heritiera fomes,
are not responding uniformly to salinity variation in the
Indian Sundarbans (Mitra et al. 2009). The first, and less
likely, is that natural and anthropogenic aerosols are not well
mixed geographically and could have a substantial effect on
regional warming rates, which subsequently affect salinity
through a variable rate of evaporation. The second reason is
that the western sector of the Sundarbans delta receives the
fresh water input of Himalayan glaciers via the Farakka
barrage discharge, which is undergoing a rapid recession, at
the rate of 23 m year-1
(Hasnain 1999, 2000, 2002). This is
adding fresh water and increasing the dilution factor in the
Hooghly estuary in the west. On the contrary, the increase in
salinity in the central sector (by 3–5 psu over a period of
29 years) is due to heavy siltation of the Bidyadhari channel
since late fifteenth century that obstructs the supply of fresh
water in the region. Therefore, the lower growth rate of
Heritiera fomes in this sector appears as an acid test for the
rising salinity.
Mangroves are basically evergreen sclerophyllous,
broad-leaved trees with aerial root like pneumatophore or
stilt root and viviparously germinated seedlings (Linden and
Jernelo¨v 1980) with a preference for brackish water habitat
with a salinity range from 5 to 20 psu (Mitra et al. 2004), and
along protected sedimentary shores preferably in tidal
lagoons, embayments and estuaries (MacNae 1968). The
plants are halophytes that are well adapted to salt water and
fluctuation of tide level (Karim 1988). Even germination of
seeds of some halophytes is dependent on a certain level of
salinity, and there is an optimum salinity range for maxi-
mum growth of different mangrove species (Hoque et al.
2006). A few mangrove species, such as Heritiera fomes and
Nypa fruticans, prefer high dilution of the brackish water
system for a better growth and survival. Despite a limitation
on the AGB growth on the other mangrove species consid-
ered is not evident, the relatively higher increase of the AGB
of Heritiera fomes in the western sector, with respect to that
of the central one, confirms the freshening and salinification
of the western and central parts of the lower Gangetic delta
region, respectively.
Even though numerous studies on tropical plant biomass
have been carried out in the last years (Valentini et al.
2014; Battipaglia et al. 2015; Cazzolla Gatti et al. 2015;
Avitabile et al. 2016; Vaglio Laurin et al. 2016) and some
have focused on mangroves wood production, forest con-
servation and ecosystem management (Putz and Chan
1986; Tamai et al. 1986; Komiyama et al. 1987; Clough
and Scott 1989; Chaudhuri and Choudhury 1994; McKee
1995; Ong et al. 1995; Mitra and Pal 2002; Cazzolla Gatti
2016), this study represents the first evidence showing the
impact of salinity changes due to a combination of climatic
and other anthropogenic changes on a mangrove species in
the Indian Sundarbans.
CONCLUSION
Our study clearly demonstrates the response of a stenoe-
cious mangrove species to a changing salinity that may
serve as an indicator for climate change-related studies.
Similar works in Bangladesh also revealed adverse impact
of salinity on Heritiera fomes (Hoque et al. 2006). The
species was rare in strong salinity zones, whereas its
presence was abundant in the moderate and the low salinity
zones of the Sundarbans forest of Bangladesh. Death of the
species was also reported due to top dying disease which
was frequently observed beside the river or the canals
where inundation by the saline water is much and has water
logging problem. Rahman (1994) showed that the top
dying symptom was seen in areas where most of the
pneumatophores have been partially buried.
Ambio
123
Ó Royal Swedish Academy of Sciences 2016
www.kva.se/en
Furthermore, our study clearly depicts that AGB change
of H. fomes can be used as a proxy to evaluate climate
change-induced salinity alteration in the lower Gangetic
delta complex and, potentially, in other similar ecosystems
that host such stenoecious species.
Acknowledgments The authors acknowledge the financial support of
the project entitled ‘‘Vulnerability Assessment and development of
adaptation strategies for Climate Change impacts with special refer-
ence to coasts and island ecosystems of India (VACCIN)’’ for
undertaking the field works in the remote islands of Indian
Sundarbans.
REFERENCES
Antonov, J.I., S. Levitus, and T.P. Boyer. 2002. Steric sea level
variations during 1957–1994: Importance of salinity. Journal of
Geophysical Research 107: 8013.
APHA. 2001. Standard methods for the examination of water and
waste water, 874 pp. Washington D.C.: American Public Health
Association.
Avitabile, V., M. Herold, G. Heuvelink, S.L. Lewis, O.L. Phillips,
G.P. Asner, J. Armston, P.S. Ashton, et al. 2016. An integrated
pan-tropical biomass map using multiple reference datasets.
Global Change Biology 22: 1406–1420.
Banerjee, K. 2013. Decadal change in the surface water salinity
profile of Indian Sundarbans: A potential indicator of climate
change. Journal of Marine Science Research Development S11:
002. doi:10.4172/2155-9910.S11-002.
Battipaglia, G., E. Zalloni, S. Castaldi, F. Marzaioli, R. Cazzolla
Gatti, B. Lasserre, R. Tognetti, M. Marchetti, and R. Valentini.
2015. Long tree-ring chronologies provide evidence of recent
tree growth decrease in a central African tropical forest. PLoS
ONE 10: e0120962.
Bindoff, N.L., J. Willebrand, V. Artale, A. Cazenave, J. Gregory, S.
Galev, K. Hanawa, C. Le Quere, et al. 2007. Observations:
Oceanic Climate Change and Sea level. In Climate change 2007.
The physical science basis. Contribution of the Working Group I
to the Fourth Assessment Report of the Intergovernmental Panel
on Climate Change, ed. S. Solomon, D. Qin, M. Manning, Z.
Chen, M. Marquis, K.B. Averyt, M. Tignor, and H.L. Miller,
389–393. Cambridge: Cambridge University Press.
Cazzolla Gatti, R. 2016. Freshwater biodiversity: A review of local
and global threats. International Journal of Environmental
Studies 73: 887–904.
Cazzolla Gatti, R., S. Castaldi, J.A. Lindsell, D.A. Coomes, M.
Marchetti, M. Maesano, A. Di Paola, F. Paparella, et al. 2015.
The impact of selective logging and clear cutting on forest
structure, tree diversity and above-ground biomass of African
tropical forests. Ecological Research 30: 119–132.
Chakrabarti, P.S. 1998. Changing courses of Ganga, Ganga-Padma
river system, West Bengal, India—RS data usage in user
orientation, river behavior and control. Journal of River
Research Institute 25: 19–40.
Chaudhuri, A.B., and A. Choudhury. 1994. Mangroves of the
Sundarbans, India, 247 pp. Gland: IUCN.
Clough, B.F., and K. Scott. 1989. Allometric relationship for
estimating above ground biomass in six mangrove species.
Forest Ecology and Management 27: 117–127.
Curry, R., B. Dickson, and I. Yashayaev. 2003. A change in the
freshwater balance of the Atlantic Ocean over the past four
decades. Nature 426: 826–829.
Daniel, W.W. 1990. Applied nonparametric statistics, 2nd ed.,
635 pp. Boston: PWS-Kent.
Hasnain, S.I. 1999. Himalayan glaciers: Hydrology and hydrochem-
istry, 234 pp. New Delhi: Allied Publ., Ltd.
Hasnain, S.I. 2000. Status of the glacier research in the HKH region,
140 pp. Katmandu: ICIMOD.
Hasnain, S.I. 2002. Himalayan glaciers meltdown: Impact on South
Asian Rivers. International Association of Hydrological
Sciences (IAHS). 274: 417–423.
Hettmansperger, T.P., and J.W. McKean. 1998. Robust nonparamet-
ric statistical methods. Kendall’s Library of Statistics 5, 1st ed.,
467 pp. London/New York: Edward Arnold/Wiley.
Holmgren, S. 1994. An environmental assessment of Bay of Bengal
region, 257 pp. Madras: BOBP for Swedish Centre for Coastal
Development & Management of Aquatic Resources.
Hoque, M.A., M.S.K.A. Sarkar, S.A.K.U. Khan, M.A.H. Moral, and
A.K.M. Khurram. 2006. Present status of salinity rise in
Sundarbans area and its effect on Sundari (Heritiera fomes)
species. Research Journal of Agriculture and Biological Science
2: 115–121.
Karim, A. 1988. Environmental factors and the distribution of
mangroves in Sundarbans with special reference to Heritiera
fomes. Buch.-Ham. PhD Thesis (unpubl.), University of
Calcutta.
Komiyama, A., K. Ogino, S. Aksomkoae, and S. Sabhasri. 1987. Root
biomass of a mangrove forest in southern Thailand 1. Estimation
by the trench method and the zonal structure of root biomass.
Journal of Tropical Ecology 3: 97–108.
Komiyama, A., E.O. Jin, and S. Poungparn. 2008. Allometry,
biomass, and productivity of mangrove forests: A review.
Aquatic Botany 89: 128–137.
Linden, O., and A. Jernelo¨v. 1980. The mangrove swamp—an
ecosystem in danger. Ambio 9: 81–88.
MacNae, W. 1968. A general account of a fauna and flora of
mangrove swamps and forests in the Indo-Pacific region.
Advances in Marine Biology 6: 73–270.
McKee, K.L. 1995. Interspecific variation in growth, biomass
partitioning, and defensive characteristics of neotropical man-
grove seedlings: Response to light and nutrient availability.
American Journal of Botany 82: 299–307.
Mirza, Q.M.M. 1997. Hydrological changes in the Ganges system in
Bangladesh in the post-Farakka period. Hydrological Science
Journal 42: 613–631.
Mitra, A., and S. Pal. 2002. The oscillating mangrove ecosystem and
the Indian Sundarbans, ed. S. Banerjee and F. Tampal. New
Delhi: WWF-India-WBSO.
Mitra, A. and S. Zaman. 2015. Blue carbon reservoir of the blue
planet, 299 pp. New Delhi: Springer India.
Mitra, A., K. Banerjee, and D.P. Bhattacharyya. 2004. The other face
of mangroves. Kolkata: Department of Environment, Govern-
ment of West Bengal.
Mitra, A., K. Banerjee, K. Sengupta, and A. Gangopadhyay. 2009.
Pulse of climate change in Indian Sundarbans: A myth or reality?
National Academy Science Letters 32: 1–7.
Ong, J.E., W.K. Gong, and B.F. Clough. 1995. Structure and
productivity of a 20-year old stand of Rhizophora apiculata
BL mangrove forest. Journal of Biogeography 55: 417–424.
Putz, F.E., and H.T. Chan. 1986. Tree growth, dynamics, and
productivity in a mature mangrove forest in Malaysia. Forest
Ecology and Management 17: 211–230.
Rahman, M.A. 1994. Mangrove plant pathology of Sundarbans
reserved forest in Bangladesh. Final Report of FAO/UNDP
Project BGD/84/056, Khulna, 82 pp.
Rudra, K. 1996. The Farakka Barrage Project—an interception to
fluvial regime. Indian Journal of Landscape System and
Ecological Studies 19: 105–110.
Ambio
Ó Royal Swedish Academy of Sciences 2016
www.kva.se/en 123
Sengupta, K., M. Roy Chowdhury, G. Roy Chowdhury, A. Raha, S.
Zaman, and A. Mitra. 2013. Spatial variation of stored carbon in
Avicennia alba of Indian Sundarbans. Discovery Nature 3:
19–24.
Solomon, S. (ed.). 2007. Climate change 2007—The physical science
basis: Working group I contribution to the fourth assessment
report of the IPCC, vol. 4, 996 pp. Cambridge: Cambridge
University Press.
Strickland, J.D.H., and T.R. Parsons. 1972. A practical handbook of
seawater analysis. Fisheries Research Board of Canada Bulletin
167: 311.
Tamai, S., T. Nakasuga, R. Tabuchi, and K. Ogino. 1986. Standing
biomass of mangrove forests in Southern Thailand. Journal of
the Japanese Forest Society 68: 384–388.
Tuljapurkar, S., and C.V. Haridas. 2006. Temporal autocorrelation
and stochastic population growth. Ecology Letters 9: 327–337.
Vaglio Laurin, G., W.D. Hawthorne, T. Chiti, A. Di Paola, R.
Cazzolla Gatti, S. Marconi, S. Noce, E. Grieco, et al. 2016. Does
degradation from selective logging and illegal activities differ-
ently impact forest resources? A case study in Ghana. iForest 9:
354–362.
Valentini, R., A. Arneth, A. Bombelli, S. Castaldi, R. Cazzolla Gatti,
F. Chevallier, P. Ciais, E. Grieco, et al. 2014. A full greenhouse
gases budget of Africa: Synthesis, uncertainties, and vulnerabil-
ities. Biogeosciences 11: 381–407.
Wong, A.P.S., N.L. Bindoff, and J.A. Church. 1999. Large-scale
freshening of intermediate waters in the Pacific and Indian
oceans. Nature 400: 440–443.
Zaman, S., S.B. Bhattacharyya, P. Pramanick, A.K. Raha, S.
Chakraborty, and A. Mitra. 2014. Rising water salinity: A threat
to mangroves of Indian Sundarbans. In Water insecurity: A
social dilemma (community, environment and disaster risk
management, vol. 13, ed. M.A. Abedin, U. Habiba, and R.
Shaw, 167–183. Bingley): Emerald Group.
AUTHOR BIOGRAPHIES
Kakoli Banerjee is Researcher, with a PhD in Science from Jadavpur
University (India), at the Central University of Orissa, India. Her
research interests include biodiversity conservation, coastal marine
ecosystems, climate change and carbon sequestration.
Address: School of Biodiversity & Conservation of Natural Resour-
ces, Central University of Orissa, Landiguda, Koraput, Odisha
764020, India.
e-mail: banerjee.kakoli@yahoo.com
Roberto Cazzolla Gatti (&) is Associate Professor, with a PhD in
Ecology from Tuscia University (Italy), at the Biological Institute of
the Tomsk State University (Russia). His research interests include
biodiversity monitoring and conservation, theoretical and applied
ecology, anthropogenic impacts impact on ecosystems and evolu-
tionary ethology.
Address: Biological Diversity and Ecology Laboratory, Bio-Clim-
Land Centre of Excellence, Biological Institute, Tomsk State
University, Tomsk, Russia 634050.
e-mail: robertocazzollagatti@mail.tsu.ru
Abhijit Mitra PhD, former Head, Department of Marine Science,
University of Calcutta (INDIA), has been active in the sphere of
Oceanography and Marine Ecology since 1985. Presently, Dr. Mitra
is serving as the advisor of Oceanography Division of Techno India
University, Kolkata. His research interests include environmental
science, mangrove ecology, sustainable aquaculture, alternative
livelihood, climate change and carbon sequestration.
Address: Department of Marine Science, University of Calcutta, 35,
B.C. Road, Kolkata 700019, India.
e-mail: abhijit_mitra@hotmail.com
Ambio
123
Ó Royal Swedish Academy of Sciences 2016
www.kva.se/en

More Related Content

What's hot

dam_project.pptx
dam_project.pptxdam_project.pptx
dam_project.pptxEvan Norman
 
Watershed charecteristics
Watershed charecteristicsWatershed charecteristics
Watershed charecteristicsVipin Mishra
 
manuscrptFinalRevised
manuscrptFinalRevisedmanuscrptFinalRevised
manuscrptFinalRevisedSean Lamarre
 
Research on Manasbal Lake
Research on Manasbal LakeResearch on Manasbal Lake
Research on Manasbal LakeShakil Romshoo
 
Modelling of a Coastal Aquifer using FEFLOW
Modelling of a Coastal Aquifer using FEFLOWModelling of a Coastal Aquifer using FEFLOW
Modelling of a Coastal Aquifer using FEFLOWC. P. Kumar
 
Glacier Change and Human Vulnerability
Glacier Change and Human VulnerabilityGlacier Change and Human Vulnerability
Glacier Change and Human Vulnerabilityglacierchangeosu
 
The state of a ‘choked’ lagoon a two-decade overview of the fosu lagoon in ca...
The state of a ‘choked’ lagoon a two-decade overview of the fosu lagoon in ca...The state of a ‘choked’ lagoon a two-decade overview of the fosu lagoon in ca...
The state of a ‘choked’ lagoon a two-decade overview of the fosu lagoon in ca...Alexander Decker
 
Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...
Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...
Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...John Blue
 
Methods Of Flood Control For Assessment
Methods Of Flood Control For AssessmentMethods Of Flood Control For Assessment
Methods Of Flood Control For Assessmentguest3d8cbf
 
Colloid Mobilization and Biogeochemical Cycling of Organic Carbon, Nitrogen a...
Colloid Mobilization and Biogeochemical Cycling of Organic Carbon, Nitrogen a...Colloid Mobilization and Biogeochemical Cycling of Organic Carbon, Nitrogen a...
Colloid Mobilization and Biogeochemical Cycling of Organic Carbon, Nitrogen a...National Institute of Food and Agriculture
 
evaluation of water resources in wadi el natrun, western desert, egypt
evaluation of water resources in wadi el natrun, western desert, egyptevaluation of water resources in wadi el natrun, western desert, egypt
evaluation of water resources in wadi el natrun, western desert, egyptIJEAB
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
 
Tank model to see the effect of land use changes on runoff, infiltration and ...
Tank model to see the effect of land use changes on runoff, infiltration and ...Tank model to see the effect of land use changes on runoff, infiltration and ...
Tank model to see the effect of land use changes on runoff, infiltration and ...Alexander Decker
 
AdamGerughtycapstonerevised
AdamGerughtycapstonerevisedAdamGerughtycapstonerevised
AdamGerughtycapstonerevisedAdam Gerughty
 

What's hot (18)

dam_project.pptx
dam_project.pptxdam_project.pptx
dam_project.pptx
 
2_Asokan et al_JGRA_2010
2_Asokan et al_JGRA_20102_Asokan et al_JGRA_2010
2_Asokan et al_JGRA_2010
 
Introduction to River Science
Introduction to River Science Introduction to River Science
Introduction to River Science
 
Watershed charecteristics
Watershed charecteristicsWatershed charecteristics
Watershed charecteristics
 
manuscrptFinalRevised
manuscrptFinalRevisedmanuscrptFinalRevised
manuscrptFinalRevised
 
Research on Manasbal Lake
Research on Manasbal LakeResearch on Manasbal Lake
Research on Manasbal Lake
 
Modelling of a Coastal Aquifer using FEFLOW
Modelling of a Coastal Aquifer using FEFLOWModelling of a Coastal Aquifer using FEFLOW
Modelling of a Coastal Aquifer using FEFLOW
 
Glacier Change and Human Vulnerability
Glacier Change and Human VulnerabilityGlacier Change and Human Vulnerability
Glacier Change and Human Vulnerability
 
The state of a ‘choked’ lagoon a two-decade overview of the fosu lagoon in ca...
The state of a ‘choked’ lagoon a two-decade overview of the fosu lagoon in ca...The state of a ‘choked’ lagoon a two-decade overview of the fosu lagoon in ca...
The state of a ‘choked’ lagoon a two-decade overview of the fosu lagoon in ca...
 
Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...
Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...
Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...
 
Methods Of Flood Control For Assessment
Methods Of Flood Control For AssessmentMethods Of Flood Control For Assessment
Methods Of Flood Control For Assessment
 
Yogyakarta coastal aquifer
Yogyakarta coastal aquiferYogyakarta coastal aquifer
Yogyakarta coastal aquifer
 
Colloid Mobilization and Biogeochemical Cycling of Organic Carbon, Nitrogen a...
Colloid Mobilization and Biogeochemical Cycling of Organic Carbon, Nitrogen a...Colloid Mobilization and Biogeochemical Cycling of Organic Carbon, Nitrogen a...
Colloid Mobilization and Biogeochemical Cycling of Organic Carbon, Nitrogen a...
 
Nl 59-17-(15)d-509
Nl 59-17-(15)d-509Nl 59-17-(15)d-509
Nl 59-17-(15)d-509
 
evaluation of water resources in wadi el natrun, western desert, egypt
evaluation of water resources in wadi el natrun, western desert, egyptevaluation of water resources in wadi el natrun, western desert, egypt
evaluation of water resources in wadi el natrun, western desert, egypt
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)
 
Tank model to see the effect of land use changes on runoff, infiltration and ...
Tank model to see the effect of land use changes on runoff, infiltration and ...Tank model to see the effect of land use changes on runoff, infiltration and ...
Tank model to see the effect of land use changes on runoff, infiltration and ...
 
AdamGerughtycapstonerevised
AdamGerughtycapstonerevisedAdamGerughtycapstonerevised
AdamGerughtycapstonerevised
 

Viewers also liked (19)

S holloway resume r
S holloway   resume rS holloway   resume r
S holloway resume r
 
El 12 de octubre día de la resistencia indígena
El 12 de octubre día de la resistencia indígenaEl 12 de octubre día de la resistencia indígena
El 12 de octubre día de la resistencia indígena
 
Procedimientos procesal penal ii
Procedimientos procesal penal iiProcedimientos procesal penal ii
Procedimientos procesal penal ii
 
Presentación de tecnicas del coaching
Presentación de tecnicas del coachingPresentación de tecnicas del coaching
Presentación de tecnicas del coaching
 
KPI - ASIK
KPI - ASIKKPI - ASIK
KPI - ASIK
 
Bountiful Eng245 2017
Bountiful Eng245 2017Bountiful Eng245 2017
Bountiful Eng245 2017
 
Hul
HulHul
Hul
 
Herramientas de microsoft word
Herramientas de microsoft wordHerramientas de microsoft word
Herramientas de microsoft word
 
Lembang
LembangLembang
Lembang
 
Metaplasmos
MetaplasmosMetaplasmos
Metaplasmos
 
Datas comemorativas
Datas comemorativasDatas comemorativas
Datas comemorativas
 
Magma Eng245 2017
Magma Eng245 2017Magma Eng245 2017
Magma Eng245 2017
 
Introducción de los temas de blogger david
Introducción de los temas de blogger davidIntroducción de los temas de blogger david
Introducción de los temas de blogger david
 
Brotherhood
BrotherhoodBrotherhood
Brotherhood
 
20170316 互動科技與藝術
20170316 互動科技與藝術20170316 互動科技與藝術
20170316 互動科技與藝術
 
対話を「見える化」する ファシリテーション・グラフィック
対話を「見える化」する ファシリテーション・グラフィック対話を「見える化」する ファシリテーション・グラフィック
対話を「見える化」する ファシリテーション・グラフィック
 
In other words
In other wordsIn other words
In other words
 
Nairaestevez
NairaestevezNairaestevez
Nairaestevez
 
Muestra de Investigación Cuantitativa
Muestra de Investigación CuantitativaMuestra de Investigación Cuantitativa
Muestra de Investigación Cuantitativa
 

Similar to Today 2-best ambio mangroves-1

Book chapter on fish by Ankita (kinka) Mitra
Book chapter on fish by Ankita (kinka) MitraBook chapter on fish by Ankita (kinka) Mitra
Book chapter on fish by Ankita (kinka) MitraAbhijit Mitra
 
Aquatic picture of sundarbans curr sc.
Aquatic picture of sundarbans  curr sc.Aquatic picture of sundarbans  curr sc.
Aquatic picture of sundarbans curr sc.Abhijit Mitra
 
Aquatic picture of Sundarbans
Aquatic picture of Sundarbans  Aquatic picture of Sundarbans
Aquatic picture of Sundarbans Abhijit Mitra
 
Climate change and economic adaptability of indian sunderban
Climate change and economic adaptability of indian sunderbanClimate change and economic adaptability of indian sunderban
Climate change and economic adaptability of indian sunderbanAlexander Decker
 
Climate change and economic adaptability of indian sunderban
Climate change and economic adaptability of indian sunderbanClimate change and economic adaptability of indian sunderban
Climate change and economic adaptability of indian sunderbanAlexander Decker
 
Seasonal Variability and Behavior of Hydrographic and Nutrient Parameters in ...
Seasonal Variability and Behavior of Hydrographic and Nutrient Parameters in ...Seasonal Variability and Behavior of Hydrographic and Nutrient Parameters in ...
Seasonal Variability and Behavior of Hydrographic and Nutrient Parameters in ...iosrjce
 
Biodiversity conservation paper
Biodiversity conservation paperBiodiversity conservation paper
Biodiversity conservation paperAbhijit Mitra
 
Impacts of climate change
Impacts of climate changeImpacts of climate change
Impacts of climate changeHanif Mia
 
Climate Change Effects on Mangroves - Indian context
Climate Change Effects on Mangroves - Indian contextClimate Change Effects on Mangroves - Indian context
Climate Change Effects on Mangroves - Indian contextKANTHARAJAN GANESAN
 
GEOGRAPHY OF DELTIC WEST BENGAL
GEOGRAPHY OF DELTIC WEST BENGALGEOGRAPHY OF DELTIC WEST BENGAL
GEOGRAPHY OF DELTIC WEST BENGALRAJKUMARPOREL
 
Modeling the Hydrology of Dal Lake
Modeling the Hydrology of Dal LakeModeling the Hydrology of Dal Lake
Modeling the Hydrology of Dal LakeShakil Romshoo
 
Hydrochemical characterization, classification and evaluation of groundwater ...
Hydrochemical characterization, classification and evaluation of groundwater ...Hydrochemical characterization, classification and evaluation of groundwater ...
Hydrochemical characterization, classification and evaluation of groundwater ...Alexander Decker
 
Origin of water salinity in Annaba aquifer system, North-Eastern Algeria | JBES
Origin of water salinity in Annaba aquifer system, North-Eastern Algeria | JBESOrigin of water salinity in Annaba aquifer system, North-Eastern Algeria | JBES
Origin of water salinity in Annaba aquifer system, North-Eastern Algeria | JBESInnspub Net
 
Spatial and temporal hydrochemistry variations of karst water in Gunung Sewu,...
Spatial and temporal hydrochemistry variations of karst water in Gunung Sewu,...Spatial and temporal hydrochemistry variations of karst water in Gunung Sewu,...
Spatial and temporal hydrochemistry variations of karst water in Gunung Sewu,...UniversitasGadjahMada
 
Ecology of the east african lakes for unfccc adaptation
Ecology of the east african lakes for unfccc adaptationEcology of the east african lakes for unfccc adaptation
Ecology of the east african lakes for unfccc adaptationNAP Events
 
Interface change of seawater and freshwater on Asam – Asam Watersheds, South ...
Interface change of seawater and freshwater on Asam – Asam Watersheds, South ...Interface change of seawater and freshwater on Asam – Asam Watersheds, South ...
Interface change of seawater and freshwater on Asam – Asam Watersheds, South ...Innspub Net
 

Similar to Today 2-best ambio mangroves-1 (20)

Book chapter on fish by Ankita (kinka) Mitra
Book chapter on fish by Ankita (kinka) MitraBook chapter on fish by Ankita (kinka) Mitra
Book chapter on fish by Ankita (kinka) Mitra
 
Aquatic picture of sundarbans curr sc.
Aquatic picture of sundarbans  curr sc.Aquatic picture of sundarbans  curr sc.
Aquatic picture of sundarbans curr sc.
 
Aquatic picture of Sundarbans
Aquatic picture of Sundarbans  Aquatic picture of Sundarbans
Aquatic picture of Sundarbans
 
Climate change and economic adaptability of indian sunderban
Climate change and economic adaptability of indian sunderbanClimate change and economic adaptability of indian sunderban
Climate change and economic adaptability of indian sunderban
 
Climate change and economic adaptability of indian sunderban
Climate change and economic adaptability of indian sunderbanClimate change and economic adaptability of indian sunderban
Climate change and economic adaptability of indian sunderban
 
Seasonal Variability and Behavior of Hydrographic and Nutrient Parameters in ...
Seasonal Variability and Behavior of Hydrographic and Nutrient Parameters in ...Seasonal Variability and Behavior of Hydrographic and Nutrient Parameters in ...
Seasonal Variability and Behavior of Hydrographic and Nutrient Parameters in ...
 
Biodiversity conservation paper
Biodiversity conservation paperBiodiversity conservation paper
Biodiversity conservation paper
 
Impacts of climate change
Impacts of climate changeImpacts of climate change
Impacts of climate change
 
Climate Change Effects on Mangroves - Indian context
Climate Change Effects on Mangroves - Indian contextClimate Change Effects on Mangroves - Indian context
Climate Change Effects on Mangroves - Indian context
 
Hedley et al
Hedley et alHedley et al
Hedley et al
 
GEOGRAPHY OF DELTIC WEST BENGAL
GEOGRAPHY OF DELTIC WEST BENGALGEOGRAPHY OF DELTIC WEST BENGAL
GEOGRAPHY OF DELTIC WEST BENGAL
 
Modeling the Hydrology of Dal Lake
Modeling the Hydrology of Dal LakeModeling the Hydrology of Dal Lake
Modeling the Hydrology of Dal Lake
 
Hydrochemical characterization, classification and evaluation of groundwater ...
Hydrochemical characterization, classification and evaluation of groundwater ...Hydrochemical characterization, classification and evaluation of groundwater ...
Hydrochemical characterization, classification and evaluation of groundwater ...
 
Le2519421946
Le2519421946Le2519421946
Le2519421946
 
Le2519421946
Le2519421946Le2519421946
Le2519421946
 
1_Asokan and Dutta_HP_2008
1_Asokan and Dutta_HP_20081_Asokan and Dutta_HP_2008
1_Asokan and Dutta_HP_2008
 
Origin of water salinity in Annaba aquifer system, North-Eastern Algeria | JBES
Origin of water salinity in Annaba aquifer system, North-Eastern Algeria | JBESOrigin of water salinity in Annaba aquifer system, North-Eastern Algeria | JBES
Origin of water salinity in Annaba aquifer system, North-Eastern Algeria | JBES
 
Spatial and temporal hydrochemistry variations of karst water in Gunung Sewu,...
Spatial and temporal hydrochemistry variations of karst water in Gunung Sewu,...Spatial and temporal hydrochemistry variations of karst water in Gunung Sewu,...
Spatial and temporal hydrochemistry variations of karst water in Gunung Sewu,...
 
Ecology of the east african lakes for unfccc adaptation
Ecology of the east african lakes for unfccc adaptationEcology of the east african lakes for unfccc adaptation
Ecology of the east african lakes for unfccc adaptation
 
Interface change of seawater and freshwater on Asam – Asam Watersheds, South ...
Interface change of seawater and freshwater on Asam – Asam Watersheds, South ...Interface change of seawater and freshwater on Asam – Asam Watersheds, South ...
Interface change of seawater and freshwater on Asam – Asam Watersheds, South ...
 

More from Abhijit Mitra

Cv of dr. abhijit mitra, department of marine science, calcutta university
Cv of dr. abhijit mitra, department of marine science, calcutta universityCv of dr. abhijit mitra, department of marine science, calcutta university
Cv of dr. abhijit mitra, department of marine science, calcutta universityAbhijit Mitra
 
Cv of dr. abhijit mitra, calcutta university
Cv of dr. abhijit mitra,  calcutta universityCv of dr. abhijit mitra,  calcutta university
Cv of dr. abhijit mitra, calcutta universityAbhijit Mitra
 
Arpita water quality assessment
Arpita water quality assessmentArpita water quality assessment
Arpita water quality assessmentAbhijit Mitra
 
Tulsi extract based rasgulla
Tulsi extract based rasgullaTulsi extract based rasgulla
Tulsi extract based rasgullaAbhijit Mitra
 
Short cv of prof. mitra, 2015 16
Short cv of prof. mitra, 2015 16Short cv of prof. mitra, 2015 16
Short cv of prof. mitra, 2015 16Abhijit Mitra
 
Word biography of dr. mitra
Word biography of dr. mitraWord biography of dr. mitra
Word biography of dr. mitraAbhijit Mitra
 
Threat detection-technique-in-context-to-mangrove-ecosystem-of-indian-sundarbans
Threat detection-technique-in-context-to-mangrove-ecosystem-of-indian-sundarbansThreat detection-technique-in-context-to-mangrove-ecosystem-of-indian-sundarbans
Threat detection-technique-in-context-to-mangrove-ecosystem-of-indian-sundarbansAbhijit Mitra
 
Short CV of prof. mitra, 2015 16
Short CV of prof. mitra, 2015 16Short CV of prof. mitra, 2015 16
Short CV of prof. mitra, 2015 16Abhijit Mitra
 
Title ecological health of indian sundarbans
Title   ecological health of indian sundarbansTitle   ecological health of indian sundarbans
Title ecological health of indian sundarbansAbhijit Mitra
 
DR. MITRA-- PRAWN feed paper
DR. MITRA-- PRAWN   feed paperDR. MITRA-- PRAWN   feed paper
DR. MITRA-- PRAWN feed paperAbhijit Mitra
 
DR. ABHIJIT MITRA.... ON FISHERY
DR. ABHIJIT MITRA.... ON FISHERYDR. ABHIJIT MITRA.... ON FISHERY
DR. ABHIJIT MITRA.... ON FISHERYAbhijit Mitra
 
Destruction and mitigation.. BY DR. ABHIJIT MITRA
Destruction and mitigation.. BY DR. ABHIJIT MITRADestruction and mitigation.. BY DR. ABHIJIT MITRA
Destruction and mitigation.. BY DR. ABHIJIT MITRAAbhijit Mitra
 
Sunderbans mangrove trees losing capacity to absorb co2 study
Sunderbans mangrove trees losing capacity to absorb co2  studySunderbans mangrove trees losing capacity to absorb co2  study
Sunderbans mangrove trees losing capacity to absorb co2 studyAbhijit Mitra
 
Cover page of latest book on climate change
Cover page of latest book on climate changeCover page of latest book on climate change
Cover page of latest book on climate changeAbhijit Mitra
 

More from Abhijit Mitra (20)

Cv of dr. abhijit mitra, department of marine science, calcutta university
Cv of dr. abhijit mitra, department of marine science, calcutta universityCv of dr. abhijit mitra, department of marine science, calcutta university
Cv of dr. abhijit mitra, department of marine science, calcutta university
 
Coral reef
Coral reefCoral reef
Coral reef
 
Cv of dr. abhijit mitra, calcutta university
Cv of dr. abhijit mitra,  calcutta universityCv of dr. abhijit mitra,  calcutta university
Cv of dr. abhijit mitra, calcutta university
 
Suaeda paper
Suaeda paperSuaeda paper
Suaeda paper
 
Mahanadi carbon
Mahanadi carbonMahanadi carbon
Mahanadi carbon
 
Arpita water quality assessment
Arpita water quality assessmentArpita water quality assessment
Arpita water quality assessment
 
Tulsi extract based rasgulla
Tulsi extract based rasgullaTulsi extract based rasgulla
Tulsi extract based rasgulla
 
Biomass elsevier
Biomass elsevierBiomass elsevier
Biomass elsevier
 
Secrets of the deep
Secrets of the deepSecrets of the deep
Secrets of the deep
 
Short cv of prof. mitra, 2015 16
Short cv of prof. mitra, 2015 16Short cv of prof. mitra, 2015 16
Short cv of prof. mitra, 2015 16
 
Word biography of dr. mitra
Word biography of dr. mitraWord biography of dr. mitra
Word biography of dr. mitra
 
Threat detection-technique-in-context-to-mangrove-ecosystem-of-indian-sundarbans
Threat detection-technique-in-context-to-mangrove-ecosystem-of-indian-sundarbansThreat detection-technique-in-context-to-mangrove-ecosystem-of-indian-sundarbans
Threat detection-technique-in-context-to-mangrove-ecosystem-of-indian-sundarbans
 
Short CV of prof. mitra, 2015 16
Short CV of prof. mitra, 2015 16Short CV of prof. mitra, 2015 16
Short CV of prof. mitra, 2015 16
 
Title ecological health of indian sundarbans
Title   ecological health of indian sundarbansTitle   ecological health of indian sundarbans
Title ecological health of indian sundarbans
 
DR. MITRA-- PRAWN feed paper
DR. MITRA-- PRAWN   feed paperDR. MITRA-- PRAWN   feed paper
DR. MITRA-- PRAWN feed paper
 
DR. ABHIJIT MITRA.... ON FISHERY
DR. ABHIJIT MITRA.... ON FISHERYDR. ABHIJIT MITRA.... ON FISHERY
DR. ABHIJIT MITRA.... ON FISHERY
 
Destruction and mitigation.. BY DR. ABHIJIT MITRA
Destruction and mitigation.. BY DR. ABHIJIT MITRADestruction and mitigation.. BY DR. ABHIJIT MITRA
Destruction and mitigation.. BY DR. ABHIJIT MITRA
 
Sunderbans mangrove trees losing capacity to absorb co2 study
Sunderbans mangrove trees losing capacity to absorb co2  studySunderbans mangrove trees losing capacity to absorb co2  study
Sunderbans mangrove trees losing capacity to absorb co2 study
 
Cover page of latest book on climate change
Cover page of latest book on climate changeCover page of latest book on climate change
Cover page of latest book on climate change
 
Books
BooksBooks
Books
 

Recently uploaded

Simple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfSimple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfstareducators107
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...Nguyen Thanh Tu Collection
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxDr. Ravikiran H M Gowda
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSAnaAcapella
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...Amil baba
 
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdfFICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdfPondicherry University
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxCeline George
 
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfUGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfNirmal Dwivedi
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxExploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxPooja Bhuva
 
dusjagr & nano talk on open tools for agriculture research and learning
dusjagr & nano talk on open tools for agriculture research and learningdusjagr & nano talk on open tools for agriculture research and learning
dusjagr & nano talk on open tools for agriculture research and learningMarc Dusseiller Dusjagr
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Pooja Bhuva
 
AIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.pptAIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.pptNishitharanjan Rout
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxPooja Bhuva
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jisc
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Jisc
 
Play hard learn harder: The Serious Business of Play
Play hard learn harder:  The Serious Business of PlayPlay hard learn harder:  The Serious Business of Play
Play hard learn harder: The Serious Business of PlayPooky Knightsmith
 
How to Manage Call for Tendor in Odoo 17
How to Manage Call for Tendor in Odoo 17How to Manage Call for Tendor in Odoo 17
How to Manage Call for Tendor in Odoo 17Celine George
 

Recently uploaded (20)

Simple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfSimple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdf
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdfFICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfUGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxExploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
 
dusjagr & nano talk on open tools for agriculture research and learning
dusjagr & nano talk on open tools for agriculture research and learningdusjagr & nano talk on open tools for agriculture research and learning
dusjagr & nano talk on open tools for agriculture research and learning
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 
AIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.pptAIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.ppt
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptx
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Play hard learn harder: The Serious Business of Play
Play hard learn harder:  The Serious Business of PlayPlay hard learn harder:  The Serious Business of Play
Play hard learn harder: The Serious Business of Play
 
How to Manage Call for Tendor in Odoo 17
How to Manage Call for Tendor in Odoo 17How to Manage Call for Tendor in Odoo 17
How to Manage Call for Tendor in Odoo 17
 

Today 2-best ambio mangroves-1

  • 1. REPORT Climate change-induced salinity variation impacts on a stenoecious mangrove species in the Indian Sundarbans Kakoli Banerjee, Roberto Cazzolla Gatti , Abhijit Mitra Received: 11 April 2016 / Revised: 10 June 2016 / Accepted: 8 October 2016 Abstract The alterations in the salinity profile are an indirect, but potentially sensitive, indicator for detecting changes in precipitation, evaporation, river run-off, glacier retreat, and ice melt. These changes have a high impact on the growth of coastal plant species, such as mangroves. Here, we present estimates of the variability of salinity and the biomass of a stenoecious mangrove species (Heritiera fomes, commonly referred to as Sundari) in the aquatic subsystem of the lower Gangetic delta based on a dataset from 2004 to 2015. We highlight the impact of salinity alteration on the change in aboveground biomass of this endangered species that, due to different salinity profile in the western and central sectors of the lower Gangetic plain, shows an increase only in the former sector, where the salinity is dropping and low growth in the latter, where the salinity is increasing. Keywords Aboveground biomass Á Climate change Á Gangetic plain Á Glacier melting Á Heritiera fomes Á Salinity INTRODUCTION The patterns of salinity change can be used to infer changes in the Earth’s hydrological cycle over the oceans, seas, estuaries and bays (Wong et al. 1999; Curry et al. 2003), and are an important complement to atmospheric mea- surements (Bindoff et al. 2007). Estimates of changes in the freshwater content of the global ocean have suggested that the global ocean is freshening (Antonov et al. 2002). The estuaries adjacent to the oceans have also been affected in terms of salinity, but for the lower Gangetic delta system, a unique situation has been observed owing to connection of the Ganga–Bhagirathi–Hooghly River system in the western sector with the Himalayan glaciers (Banerjee 2013). The Farakka barrage discharge in this sector built to increase the draft of the aquatic subsystem for navigational purpose also exerts a regulatory influence on salinity. The discharge of freshwater by this barrage on regular basis results in the freshening of the system (Banerjee 2013). On the contrary, the central part of the deltaic lobe has lost its connection with the river system (fed by Himalayan glaciers) since late fifteenth century through heavy siltation, and the rivers and estuaries are mostly tide fed showing an increasing trend in salinity (Chakrabarti 1998). The footprints of global warming is thus perceived in two contrasting ways in two sectors of the deltaic complex: freshening of the estuaries of western sector (Hooghly and Muriganga) due to melting of the Himalayan glaciers, and increased barrage discharge and salinification of the central sector (Matla and Thakuran) estuaries due to expansion of adjacent oceanic water (Mitra et al. 2009). The Bay of Bengal and its adjacent estuaries are one of the less studied regions of the world ocean, while being one of the most exploited water bodies to benefit a sizeable fraction of the world population (Holmgren 1994). Mangroves are the most widespread tree communities of the Gangetic delta, and their physiology is considerably influenced by surface water salinity (Zaman et al. 2014). Therefore, salinity alteration is clearly visualized in the mangrove community by way of differential growth of aboveground biomass (AGB) of sensitive species (Komiyama et al. 2008). Electronic supplementary material The online version of this article (doi:10.1007/s13280-016-0839-9) contains supplementary material, which is available to authorized users. Ó Royal Swedish Academy of Sciences 2016 www.kva.se/en 123 Ambio DOI 10.1007/s13280-016-0839-9
  • 2. Long-term monitoring of hydrographical observations in the lower Gangetic delta region in north-western Bay of Bengal clearly indicates that the water temperature in this part of the world oceans has risen at the rate of *0.5 °C per decade (Sengupta et al. 2013; Mitra and Zaman 2015). This rate is much higher than the globally observed warming rate of *0.06 °C per decade (Solomon 2007), but cannot evidently influence species growth in a local scale. However, contrasting geophysical set up of the western and central sectors has resulted in the variation of salinity profile of the lower Gangetic system. The increased melt- ing of Himalayan ice along with barrage discharge has impacted the salinity to decrease at the mouth of the River Ganga–Bhagirathi–Hooghly system, in the western sector of the deltaic complex where it meets the Bay of Bengal (Banerjee 2013). The Farakka barrage discharge con- tributes substantially to dilute the salinity of the lower Gangetic region, but it is difficult to segregate the noise caused by human-induced factors (such as barrage dis- charge) at this stage. A decadal surveys (1999–2008) on water discharge from Farakka dam revealed an average discharge of (3.7 ± 1.15) 9 103 m3 s-1 (Rudra 1996). Higher discharge values were observed during the mon- soon with an average of (3.81 ± 1.23) 9 103 m3 s-1 , and the maximum of the order 4524 m3 s-1 during freshet (September). Considerably lower discharge values were recorded during pre-monsoon with an average of (1.18 ± 0.08) 9 103 m3 s-1 , and the minimum of the order 846 m3 s-1 during May. During post-monsoon discharge, values were moderate with an average of (1.98 ± 0.97) 9 103 m3 s-1 as recorded by earlier studies (Rudra 1996). On the other hand, for the central sector, the increase of *6 psu over three decades in salinity, *2 psu per decade (Mitra et al. 2009), is much higher than that documented (Solomon 2007) for the average in the Indian Ocean (0.01–0.02 psu per decade). In a separate study, Curry et al. (2003) found that the increase in salinity over the last 40 years in tropical Atlantic was on the order of 0.4–0.5 psu. This is a rate of 0.125 psu per decade, which is an order of magnitude less than that observed in the study area. These evidences show that the estuarine complex at the apex Bay of Bengal is a hot-spot for global warming, and has the potential to act as a natural laboratory where impact of climate change could be tested on mangrove vegetation in short-term (over a decade) scale. The presence of rich mangrove vegetation (34 true mangrove species according to Mitra and Pal 2002) and stenoecious species, such as Heritiera fomes, in the deltaic lobe commonly referred to as Indian Sundarbans has imparted special significance to the this area because of the possibility to test the impact of salinity alteration due to climate change. Here, we analysed the effect of changes in salinity on the AGB change of the freshwater-tolerant mangrove species Heritiera fomes (Family: Malvaceae, locally called Sundari). This species is locally common and abundant in some parts of its range such as the Sundarbans and in Bangladesh, but has a limited overall distribution. In Bangladesh and India, this species is rapidly declining (Chaudhuri and Choudhury 1994). This species is found in the upstream estuarine zone in the high intertidal region. It prefers freshwater, and is fast-growing in low-saline envi- ronments. It occurs in stands and grows up to 25 m. It is the only Heritiera species that produces pneumatophores. This species is a valuable commercial species for timber and is planted in commercial plantations (fuelwood and con- struction), but it is preferred for timber extraction in the wild. There has been an estimated population decline from 50 to 80 % in the majority of its range (Malaysia) based on decline of mangrove area due to coastal development and extraction since the 1950s, primarily due to the clearing of mangroves for rice farming, shrimp aquaculture and coastal development (Chaudhuri and Choudhury 1994). No addi- tional data are available to estimate decline over three generation lengths (120 years). This species is listed as Endangered (Chaudhuri and Choudhury 1994). However, populations in India and Bangladesh are rapidly declining and may qualify for Critically Endangered at a regional level. We collected 11 years (2004–2015) of in situ salinity data and other physiologically important parameters (such as water nitrate, phosphate and temperature) from two Indian sectors (Western and Central) of the Gangetic delta complex and Sundarbans in order to identify long-term trends in salinity and to compare them with mangrove AGB. In each sector, we selected three sampling stations to monitor the aboveground biomass annual change (DAGB) of Heritiera fomes (and other most common species as an ancillary data) from 2004 to 2015. MATERIALS AND METHODS Study area Data analysed in this study were sampled in six stations (between 21°260 –22°130 N and 87°560 –89°090 E): 3 in the western and 3 in the central sectors of the Ganges River (Supplementary Table S1) from 2004 to 2015. The Ganges River is shared by China, Nepal, India and Bangladesh. The river has great importance for the socio- economy of the co-basin countries. It is estimated that about 410 9 106 people are directly or indirectly dependent on the Ganges River (Mirza 1997). Ambio 123 Ó Royal Swedish Academy of Sciences 2016 www.kva.se/en
  • 3. The River Ganges is, thus a trans-boundary river of Asia which flows through India and Bangladesh Sundarbans, a mangrove-dominated delta complex in the inshore region of the Bay of Bengal. At the apex of this bay, a delta has been formed which is recognized as one of the most diversified and productive ecosystems of the tropics and is referred to as the Indian Sundarbans. The deltaic complex has an area of 9.630 km2 and houses about 102 islands. The western and central Sectors of Indian Sundarbans (Fig. 1) have pronounced salinity variation. The hyposaline environment of western Indian Sundar- bans may be attributed to Farakka barrage discharge situ- ated in the upstream region of Ganga–Bhagirathi–Hooghly river system. The central sector represents a hypersaline environment due to complete obstruction of the fresh water flow from the upstream region owing to Bidyadhari silta- tion since the late fifteenth century. Local people extraction of timber and logging procedures did not differ between the two sectors (Mitra and Pal 2002). Aboveground biomass sampling AGB refers to sum total of aboveground stem biomass (AGSB), aboveground branch biomass (AGBB) and aboveground leaf biomass (AGLB), which have been estimated year by year (from 2004 to 2015) as per the standard procedure: Aboveground stem biomass (AGSB) estimation The stem volume of 5 individuals of the species in 15 ran- domly distributed plots (dimension = 10 9 10 m = 100 m2 , then multiplied with a factor of 102 to express it in ton- nes ha-1 ) per each station (n = 75) was estimated using the Newton’s formula: V ¼ h=6 ðAb þ 4Am þ AtÞ; where V is the volume (in m3 ), h is the height measured with laser beam (BOSCH DLE 70 Professional model) and Ab, Am and At are the areas at base, middle and top, respectively. Specific gravity (G) of the wood was esti- mated taking the stem cores by boring 7.5 cm deep with mechanized corer. This was converted into stem biomass (BS) as per the expression BS = GV. The stem biomass of individual tree was finally multiplied with the number of individuals of the species in 15 selected plots. This exercise was carried out for all the six stations distributed in the two surveyed sectors of the Indian Sundarbans. Aboveground branch biomass (AGBB) estimation These branches were categorized on the basis of basal diameter into three groups, viz.6, 6–10 and[10 cm. The total number of branches, irrespective of size, was counted on each of the sample trees. The leaves on the branches were removed by hand. The branches were oven dried at 70 °C overnight in hot air oven in order to remove moisture content if any present in the branches. Dry weight of two branches from each size group was recorded separately using the following standard equation: Bdb ¼ n1bw1 þ n2bw2 þ n3bw3 ¼ Rnibwi; where Bdb is the dry branch biomass per tree, ni is the number of branches in the ith branch group, bwi is the Fig. 1 Study sites in the Indian Sundarbans. The three western stations and the three central stations, all in India, are shown divided by an imaginary red line on the map (coordinates are provided in Table S1) Ambio Ó Royal Swedish Academy of Sciences 2016 www.kva.se/en 123
  • 4. average weight of branches in the ith group and i = 1, 2, 3,…,n are the branch groups. The branch biomass of individual tree was finally multiplied with the number of trees of the species in all the 15 plots for each station. Aboveground leaf biomass (AGLB) estimation One tree per each plot was randomly considered for esti- mation. All leaves from six branches (two of each size group) of individual trees of each species were removed and oven dried at 70 °C, and dry weight (species wise) was estimated. The leaf biomass of each tree was then calcu- lated by multiplying the average biomass of the leaves per branch with the number of branches in that tree. Finally, the dry leaf biomass (for each station) was estimated with the following equation: Ldb ¼ n1Lw1N1 þ n2Lw2N2 þ Á Á Á þ niLwiNi; where Ldb is the dry leaf biomass of selected mangrove species per plot, n1…ni are the number of branches of each tree of the species, Lw1…Lwi are the average dry weight of leaves removed from the branches and N1…Ni are the number of trees of the species in the plots. ‘‘Other species’’ AGB estimation During the same time span of the study, the AGB of the three most common species (Avicennia alba, Avicennia marina and Excoecaria agallocha), within each study site, was estimated (Supplementary Fig. S1), as an ancillary data, by the same methods described above. Then, the annual biomass change of the three species was summed and referred as ‘‘Other species AGB’’. The mean total annual AGB for ‘‘Other species’’ of Western sector was 149.13 ± 25.87 t ha-1 (range: 100.41 ± 14.32–185.25 ± 21.16), while the mean total annual AGB for ‘‘Other spe- cies’’ of central sector was 172.30 ± 18.11 t ha-1 (range: 117.53 ± 13.81–215.71 ± 19.42). Differently from the growth of H. forms, the AGB trends of these three most common species (a proxy of the whole mangrove forest) show no discrepancy between, and a constant increase in both, the two sectors (Supplementary Fig. S1). Phosphate, nitrate and temperature sampling For each observational station, triplicate water samples were collected from the surface (depth range = 0–25 cm) at a distance of 50 m of each other and analysed for the following parameters: nitrate (NO3-N), phosphate (PO4-P) and temperature. A Celsius thermometer was used to measure the surface water temperature. NO3-N and PO4-P were analysed as per the procedure stated in Strickland and Parsons (1972) and APHA (2001). Statistical analysis Because our data came from time series, to evaluate the significance of the differences between the two sectors, we calculated a pairwise non-parametric statistics, such as Wilcoxon–Mann–Whitney (WMW) signed-rank test (Hett- mansperger and McKean 1998). Then, we calculated the Spearman’s rank correlation coefficient, which is a non-parametric good indicator of the significance level of a tendency in a time series (Daniel 1990). We performed linear regression and residuals analysis, and then we checked for (temporal) autocorrelation of residuals (Tuljapurkar and Haridas 2006). RESULTS Prior to analyse the influence of our target parameter (salinity) on H. formes, we analysed whether there was a significant correlation between other physiologically important param- eters (phosphate P, nitrate N and temperature T) and the AGB change of this species. We plotted P, N and T in time (Fig. 2). This figure shows no evident increasing–decreasing trend, apart from a moderate rise of nitrate level in both sectors. To check the significance of any potential relation, we performed a Spearman’s rho correlation test. None of the coefficients correlate significantly with AGB in both sectors (W: P-AGB t = 0, p = 1; C: P-AGB t = 1.1, p = 0.29; W: N-AGB t = 0.7, p = 0.5; C: N-AGB t = 2.02, p = 0.07; W: T-AGB t = 0.97, p = 0.36; C: T-AGB t = 1.67, p = 0.13). Then, we plotted AGB of H. fomes and salinity trends in time (Fig. 3). Differences in AGB (U12,12 = 78; p0.01) and salinity (U12,12 = 69; p0.01) between western and central sectors were both statistically significant. Spearman’s rho correlation coefficients for AGB and salinity of western and central sectors were -0.92 and 0.85, respectively. Scatterplots show the correlation between ABG and salinity in both sectors (Fig. 4), and underline the fact that AGB and salinity in the western sector are inversely proportional and highly correlated. Linear regression analysis showed that AGB of H. fomes and salinity relationship, in both sector, is highly signifi- cant (W: t = -7.59, p0.01; C: t = 5.17, p0.01). Residuals analyses showed no evident trend. We also tested the temporal autocorrelation of the regres- sion residuals, and we detected that both ACF and PACF were within the lower and uppers confidence levels (at 95 %). DISCUSSION In this study, we showed the impact of salinity alteration on the change in AGB of the endangered and stenoecious Ambio 123 Ó Royal Swedish Academy of Sciences 2016 www.kva.se/en
  • 5. Fig. 2 Temporal variations of phosphate (P, in lg l-1 ), nitrate (N, in lg l-1 ) and temperature (T, in °C) in the central and western sectors of the lower Gangetic delta (annual mean values ± SD bars) Fig. 3 Temporal variations of surface water salinity and aboveground biomass in the central and western sectors of the lower Gangetic delta (annual mean values in psu ± SD and tonnes ha-1 ± SD, respectively) Fig. 4 Aboveground biomass values (ordinate) plotted against salinity levels (abscissae) in the western (a) and central (b) sectors of the lower Gangetic delta Ambio Ó Royal Swedish Academy of Sciences 2016 www.kva.se/en 123
  • 6. mangrove species Heritiera fomes (commonly referred as ‘‘Sundari’’). In the past, the species was abundant in the lower Gangetic delta, but due to different salinity profile in the western and central sectors, its populations currently show signs of differential growth. In the western sector, the change of the AGB is much higher than the central one (Fig. 2), and this seems due to the different trends of salinity, which increased in the central sector and decreased in the western one. No other relevant factor (such as nutrient level and water temperature changes) was significantly related to the differential growth trends of the two sectors. On the global scale, coherent trends of salinity have been observed and are characterized by global freshening in sub-polar latitudes and a salinification of the shallower parts of the tropical and subtropical oceans (Bindoff et al. 2007). Freshening is pronounced in the Pacific, while increasing salinities prevail over most of the Atlantic and Indian Oceans (Wong et al. 1999). Alteration in salinity profile is highly region-specific, and is a function of geo- physical set up, current pattern and climatic conditions of the area (Curry et al. 2003). Differentcauses(discharge,precipitation,run-off)increase thedilutionfactoroftheHooghlyestuaryinthewesternpartof Indian Sundarbans—a condition for the better growth of the fresh water-loving Heritiera fomes biomass. On the contrary, the Matla estuary, in the central sector of the Gangetic delta, does not receive the freshwater discharge on account of sil- tation of the Bidyadhari River, which may be the cause for stuntedgrowthandextinctionofthespeciesinanenvironment of increasing salinity. Although the water temperature increase is uniform in both the sectors, there could be two reasons why the man- grove populations of some species, such as Heritiera fomes, are not responding uniformly to salinity variation in the Indian Sundarbans (Mitra et al. 2009). The first, and less likely, is that natural and anthropogenic aerosols are not well mixed geographically and could have a substantial effect on regional warming rates, which subsequently affect salinity through a variable rate of evaporation. The second reason is that the western sector of the Sundarbans delta receives the fresh water input of Himalayan glaciers via the Farakka barrage discharge, which is undergoing a rapid recession, at the rate of 23 m year-1 (Hasnain 1999, 2000, 2002). This is adding fresh water and increasing the dilution factor in the Hooghly estuary in the west. On the contrary, the increase in salinity in the central sector (by 3–5 psu over a period of 29 years) is due to heavy siltation of the Bidyadhari channel since late fifteenth century that obstructs the supply of fresh water in the region. Therefore, the lower growth rate of Heritiera fomes in this sector appears as an acid test for the rising salinity. Mangroves are basically evergreen sclerophyllous, broad-leaved trees with aerial root like pneumatophore or stilt root and viviparously germinated seedlings (Linden and Jernelo¨v 1980) with a preference for brackish water habitat with a salinity range from 5 to 20 psu (Mitra et al. 2004), and along protected sedimentary shores preferably in tidal lagoons, embayments and estuaries (MacNae 1968). The plants are halophytes that are well adapted to salt water and fluctuation of tide level (Karim 1988). Even germination of seeds of some halophytes is dependent on a certain level of salinity, and there is an optimum salinity range for maxi- mum growth of different mangrove species (Hoque et al. 2006). A few mangrove species, such as Heritiera fomes and Nypa fruticans, prefer high dilution of the brackish water system for a better growth and survival. Despite a limitation on the AGB growth on the other mangrove species consid- ered is not evident, the relatively higher increase of the AGB of Heritiera fomes in the western sector, with respect to that of the central one, confirms the freshening and salinification of the western and central parts of the lower Gangetic delta region, respectively. Even though numerous studies on tropical plant biomass have been carried out in the last years (Valentini et al. 2014; Battipaglia et al. 2015; Cazzolla Gatti et al. 2015; Avitabile et al. 2016; Vaglio Laurin et al. 2016) and some have focused on mangroves wood production, forest con- servation and ecosystem management (Putz and Chan 1986; Tamai et al. 1986; Komiyama et al. 1987; Clough and Scott 1989; Chaudhuri and Choudhury 1994; McKee 1995; Ong et al. 1995; Mitra and Pal 2002; Cazzolla Gatti 2016), this study represents the first evidence showing the impact of salinity changes due to a combination of climatic and other anthropogenic changes on a mangrove species in the Indian Sundarbans. CONCLUSION Our study clearly demonstrates the response of a stenoe- cious mangrove species to a changing salinity that may serve as an indicator for climate change-related studies. Similar works in Bangladesh also revealed adverse impact of salinity on Heritiera fomes (Hoque et al. 2006). The species was rare in strong salinity zones, whereas its presence was abundant in the moderate and the low salinity zones of the Sundarbans forest of Bangladesh. Death of the species was also reported due to top dying disease which was frequently observed beside the river or the canals where inundation by the saline water is much and has water logging problem. Rahman (1994) showed that the top dying symptom was seen in areas where most of the pneumatophores have been partially buried. Ambio 123 Ó Royal Swedish Academy of Sciences 2016 www.kva.se/en
  • 7. Furthermore, our study clearly depicts that AGB change of H. fomes can be used as a proxy to evaluate climate change-induced salinity alteration in the lower Gangetic delta complex and, potentially, in other similar ecosystems that host such stenoecious species. Acknowledgments The authors acknowledge the financial support of the project entitled ‘‘Vulnerability Assessment and development of adaptation strategies for Climate Change impacts with special refer- ence to coasts and island ecosystems of India (VACCIN)’’ for undertaking the field works in the remote islands of Indian Sundarbans. REFERENCES Antonov, J.I., S. Levitus, and T.P. Boyer. 2002. Steric sea level variations during 1957–1994: Importance of salinity. Journal of Geophysical Research 107: 8013. APHA. 2001. Standard methods for the examination of water and waste water, 874 pp. Washington D.C.: American Public Health Association. Avitabile, V., M. Herold, G. Heuvelink, S.L. Lewis, O.L. Phillips, G.P. Asner, J. Armston, P.S. Ashton, et al. 2016. An integrated pan-tropical biomass map using multiple reference datasets. Global Change Biology 22: 1406–1420. Banerjee, K. 2013. Decadal change in the surface water salinity profile of Indian Sundarbans: A potential indicator of climate change. Journal of Marine Science Research Development S11: 002. doi:10.4172/2155-9910.S11-002. Battipaglia, G., E. Zalloni, S. Castaldi, F. Marzaioli, R. Cazzolla Gatti, B. Lasserre, R. Tognetti, M. Marchetti, and R. Valentini. 2015. Long tree-ring chronologies provide evidence of recent tree growth decrease in a central African tropical forest. PLoS ONE 10: e0120962. Bindoff, N.L., J. Willebrand, V. Artale, A. Cazenave, J. Gregory, S. Galev, K. Hanawa, C. Le Quere, et al. 2007. Observations: Oceanic Climate Change and Sea level. In Climate change 2007. The physical science basis. Contribution of the Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, ed. S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor, and H.L. Miller, 389–393. Cambridge: Cambridge University Press. Cazzolla Gatti, R. 2016. Freshwater biodiversity: A review of local and global threats. International Journal of Environmental Studies 73: 887–904. Cazzolla Gatti, R., S. Castaldi, J.A. Lindsell, D.A. Coomes, M. Marchetti, M. Maesano, A. Di Paola, F. Paparella, et al. 2015. The impact of selective logging and clear cutting on forest structure, tree diversity and above-ground biomass of African tropical forests. Ecological Research 30: 119–132. Chakrabarti, P.S. 1998. Changing courses of Ganga, Ganga-Padma river system, West Bengal, India—RS data usage in user orientation, river behavior and control. Journal of River Research Institute 25: 19–40. Chaudhuri, A.B., and A. Choudhury. 1994. Mangroves of the Sundarbans, India, 247 pp. Gland: IUCN. Clough, B.F., and K. Scott. 1989. Allometric relationship for estimating above ground biomass in six mangrove species. Forest Ecology and Management 27: 117–127. Curry, R., B. Dickson, and I. Yashayaev. 2003. A change in the freshwater balance of the Atlantic Ocean over the past four decades. Nature 426: 826–829. Daniel, W.W. 1990. Applied nonparametric statistics, 2nd ed., 635 pp. Boston: PWS-Kent. Hasnain, S.I. 1999. Himalayan glaciers: Hydrology and hydrochem- istry, 234 pp. New Delhi: Allied Publ., Ltd. Hasnain, S.I. 2000. Status of the glacier research in the HKH region, 140 pp. Katmandu: ICIMOD. Hasnain, S.I. 2002. Himalayan glaciers meltdown: Impact on South Asian Rivers. International Association of Hydrological Sciences (IAHS). 274: 417–423. Hettmansperger, T.P., and J.W. McKean. 1998. Robust nonparamet- ric statistical methods. Kendall’s Library of Statistics 5, 1st ed., 467 pp. London/New York: Edward Arnold/Wiley. Holmgren, S. 1994. An environmental assessment of Bay of Bengal region, 257 pp. Madras: BOBP for Swedish Centre for Coastal Development & Management of Aquatic Resources. Hoque, M.A., M.S.K.A. Sarkar, S.A.K.U. Khan, M.A.H. Moral, and A.K.M. Khurram. 2006. Present status of salinity rise in Sundarbans area and its effect on Sundari (Heritiera fomes) species. Research Journal of Agriculture and Biological Science 2: 115–121. Karim, A. 1988. Environmental factors and the distribution of mangroves in Sundarbans with special reference to Heritiera fomes. Buch.-Ham. PhD Thesis (unpubl.), University of Calcutta. Komiyama, A., K. Ogino, S. Aksomkoae, and S. Sabhasri. 1987. Root biomass of a mangrove forest in southern Thailand 1. Estimation by the trench method and the zonal structure of root biomass. Journal of Tropical Ecology 3: 97–108. Komiyama, A., E.O. Jin, and S. Poungparn. 2008. Allometry, biomass, and productivity of mangrove forests: A review. Aquatic Botany 89: 128–137. Linden, O., and A. Jernelo¨v. 1980. The mangrove swamp—an ecosystem in danger. Ambio 9: 81–88. MacNae, W. 1968. A general account of a fauna and flora of mangrove swamps and forests in the Indo-Pacific region. Advances in Marine Biology 6: 73–270. McKee, K.L. 1995. Interspecific variation in growth, biomass partitioning, and defensive characteristics of neotropical man- grove seedlings: Response to light and nutrient availability. American Journal of Botany 82: 299–307. Mirza, Q.M.M. 1997. Hydrological changes in the Ganges system in Bangladesh in the post-Farakka period. Hydrological Science Journal 42: 613–631. Mitra, A., and S. Pal. 2002. The oscillating mangrove ecosystem and the Indian Sundarbans, ed. S. Banerjee and F. Tampal. New Delhi: WWF-India-WBSO. Mitra, A. and S. Zaman. 2015. Blue carbon reservoir of the blue planet, 299 pp. New Delhi: Springer India. Mitra, A., K. Banerjee, and D.P. Bhattacharyya. 2004. The other face of mangroves. Kolkata: Department of Environment, Govern- ment of West Bengal. Mitra, A., K. Banerjee, K. Sengupta, and A. Gangopadhyay. 2009. Pulse of climate change in Indian Sundarbans: A myth or reality? National Academy Science Letters 32: 1–7. Ong, J.E., W.K. Gong, and B.F. Clough. 1995. Structure and productivity of a 20-year old stand of Rhizophora apiculata BL mangrove forest. Journal of Biogeography 55: 417–424. Putz, F.E., and H.T. Chan. 1986. Tree growth, dynamics, and productivity in a mature mangrove forest in Malaysia. Forest Ecology and Management 17: 211–230. Rahman, M.A. 1994. Mangrove plant pathology of Sundarbans reserved forest in Bangladesh. Final Report of FAO/UNDP Project BGD/84/056, Khulna, 82 pp. Rudra, K. 1996. The Farakka Barrage Project—an interception to fluvial regime. Indian Journal of Landscape System and Ecological Studies 19: 105–110. Ambio Ó Royal Swedish Academy of Sciences 2016 www.kva.se/en 123
  • 8. Sengupta, K., M. Roy Chowdhury, G. Roy Chowdhury, A. Raha, S. Zaman, and A. Mitra. 2013. Spatial variation of stored carbon in Avicennia alba of Indian Sundarbans. Discovery Nature 3: 19–24. Solomon, S. (ed.). 2007. Climate change 2007—The physical science basis: Working group I contribution to the fourth assessment report of the IPCC, vol. 4, 996 pp. Cambridge: Cambridge University Press. Strickland, J.D.H., and T.R. Parsons. 1972. A practical handbook of seawater analysis. Fisheries Research Board of Canada Bulletin 167: 311. Tamai, S., T. Nakasuga, R. Tabuchi, and K. Ogino. 1986. Standing biomass of mangrove forests in Southern Thailand. Journal of the Japanese Forest Society 68: 384–388. Tuljapurkar, S., and C.V. Haridas. 2006. Temporal autocorrelation and stochastic population growth. Ecology Letters 9: 327–337. Vaglio Laurin, G., W.D. Hawthorne, T. Chiti, A. Di Paola, R. Cazzolla Gatti, S. Marconi, S. Noce, E. Grieco, et al. 2016. Does degradation from selective logging and illegal activities differ- ently impact forest resources? A case study in Ghana. iForest 9: 354–362. Valentini, R., A. Arneth, A. Bombelli, S. Castaldi, R. Cazzolla Gatti, F. Chevallier, P. Ciais, E. Grieco, et al. 2014. A full greenhouse gases budget of Africa: Synthesis, uncertainties, and vulnerabil- ities. Biogeosciences 11: 381–407. Wong, A.P.S., N.L. Bindoff, and J.A. Church. 1999. Large-scale freshening of intermediate waters in the Pacific and Indian oceans. Nature 400: 440–443. Zaman, S., S.B. Bhattacharyya, P. Pramanick, A.K. Raha, S. Chakraborty, and A. Mitra. 2014. Rising water salinity: A threat to mangroves of Indian Sundarbans. In Water insecurity: A social dilemma (community, environment and disaster risk management, vol. 13, ed. M.A. Abedin, U. Habiba, and R. Shaw, 167–183. Bingley): Emerald Group. AUTHOR BIOGRAPHIES Kakoli Banerjee is Researcher, with a PhD in Science from Jadavpur University (India), at the Central University of Orissa, India. Her research interests include biodiversity conservation, coastal marine ecosystems, climate change and carbon sequestration. Address: School of Biodiversity & Conservation of Natural Resour- ces, Central University of Orissa, Landiguda, Koraput, Odisha 764020, India. e-mail: banerjee.kakoli@yahoo.com Roberto Cazzolla Gatti (&) is Associate Professor, with a PhD in Ecology from Tuscia University (Italy), at the Biological Institute of the Tomsk State University (Russia). His research interests include biodiversity monitoring and conservation, theoretical and applied ecology, anthropogenic impacts impact on ecosystems and evolu- tionary ethology. Address: Biological Diversity and Ecology Laboratory, Bio-Clim- Land Centre of Excellence, Biological Institute, Tomsk State University, Tomsk, Russia 634050. e-mail: robertocazzollagatti@mail.tsu.ru Abhijit Mitra PhD, former Head, Department of Marine Science, University of Calcutta (INDIA), has been active in the sphere of Oceanography and Marine Ecology since 1985. Presently, Dr. Mitra is serving as the advisor of Oceanography Division of Techno India University, Kolkata. His research interests include environmental science, mangrove ecology, sustainable aquaculture, alternative livelihood, climate change and carbon sequestration. Address: Department of Marine Science, University of Calcutta, 35, B.C. Road, Kolkata 700019, India. e-mail: abhijit_mitra@hotmail.com Ambio 123 Ó Royal Swedish Academy of Sciences 2016 www.kva.se/en