Six diferent seed germination /re-sprouting strategies of fire-prone vegetation in Portugal are sorted out. Portuguese, but most slides in english.

1.
Padrões de germinação do banco de solo daPadrões de germinação do banco de solo da
vegetação de pinhais litorais em relação com ovegetação de pinhais litorais em relação com o
fogo e etologias evolutivas.fogo e etologias evolutivas.
Jorge Capelo1
, Lourdes Santos2
e Mário Tavares3
1, 2
Investigador Auxiliar, 3
Investigador Principal
USPF, l-INIA, Instituto Nacional de Recursos Biológicos, I.P.OEIRAS
20.05.10
Santos, M.L., J. Capelo & M. Tavares (2010) GERMINATION PATTERN OF SOIL SEED BANK
IN RELATION TO FIRE IN PORTUGUESE LITTORAL PINE FOREST
VEGETATION. Fire Ecology (in. litt.)
Semana da Biodiversidade e Conservação da Natureza (17-19 de Maio de 2010).
JARDIM BOTÂNICO DA AJUDA

2. Localização da MATA NACIONAL DE LEIRIA | Talhão da faixa de protecção da
MNL

3. RB- Regeneração do sub-
coberto
A- Amostra
Junho
Março
Outubro
RB A
RB
RB
A
A
RB
ARB
A A RB
RB A
Linha de recolha
das amostras
1998
1999
2000
2001
N
2,5 m
2,4 m
20 m
18 m
Representa o "ponto" de recolha
da amostra
Linha de pinheiros
Linha média das entrelinhas
RB- Regeneração do sub-
coberto
A- Amostra
Junho
Março
Outubro
RB- Regeneração do sub-
coberto
A- Amostra
Junho
Março
Outubro
RB A
RB
RB
A
A
RB
ARB
A A RB
RB A
Linha de recolha
das amostras
1998
1999
2000
2001
N
RB A
RB
RB
A
A
RB
ARB
A A RB
RB A
Linha de recolha
das amostras
1998
1999
2000
2001
N
RB A
RB
RB
A
A
RB
ARB
A A RB
RB A
Linha de recolha
das amostras
1998
1999
2000
2001
N
2,5 m
2,4 m
20 m
18 m
Representa o "ponto" de recolha
da amostra
Linha de pinheiros
Linha média das entrelinhas
Figure 1. Design of modalities of simulated laboratory fire.Figure 1. Field sampling procedure

4. Figure 2. Dendrogram of clustering by Ward’s method
using Euclidian distances of species 32 x 10 matrix
(species by simulated fire modalities) using GM values.
Figure 3. Mean plot of GM values by species groups.
Newman-Keuls test for variable GM: Probabilities (significant if p<0.05), df = 631,00
SPGROUP C F E D B
C -
F 0.000017 -
E 0.000008 0.000089 -
D 0.000022 0.000022 0.000054 -
B 0.003721 0.000008 0.000022 0.000009 -
A 0.000015 0.000020 0.000017 0.000008 0.000022
Table 3. Newman-Keuls pair-wise multiple mean test for GM in species groups. Non-
significant mean differences, i.e. for p>0.05 are marked ‘*’.

5. Figure 4. Dendrogram of clustering by Ward’s method using
Euclidian distances of species using 32 x 10 matrix (species by fire
modalities) DT values.
Figure 5. Mean plot of DT values by species groups.
Figure 6. Mean plot of NG values by species
groups.
Newman-Keuls test for variable DT: Probabilities (significant if p<0.05), df = 631,00
SPGROUP C F E D B
C -
F 0.000017 -
E 0.000008 0.000009 -
D 0.000022 0.000022 0.000020 -
B 0.000288 0.000008 0.000022 0.000009 -
A 0.678609 * 0.000020 0.000017 0.000008 0.000171
Newman-Keuls test for variable NG: Probabilities (significant if p<0.05), df = 631,00
SPGROUP C F E D B
C -
F 0.191155 * -
E 0.730582 * 0.333161 * -
D 0.567983 0.379209 * 0.854029 * -
B 0.724216 * 0.259701 * 0.773523 * 0.884571 * -
A 0.000020 0.000009 0.000008 0.000017 0.000022
Newman-Keuls pair-
wise multiple mean test
for DT and NG in
species groups.

6. A B C D E F
Smilax aspera Viburnum tinus Pistacia lentiscus Stauracanthus genistoides Ulex latebracteatus Genista triacanthos
Ruscus aculeatus Phillyrea angustifolia Corema album Erica umbellata Ulex jussiaei Ononis ramosissima
Myrica faya Rhamnus alaternus Otanthus maritimus Helichrysum picardii Medicago marina Coronilla glauca
Juniperus turbinata Pinus pinaster Daphne gnidium Erica arborea Spartium junceum Cistus salvifolius
Halimium halimifolium Artemisia crithmifolia Cytisus grandiflorus Cistus crispus Acacia longifolia
Halimium calycinum Calluna vulgaris
Cistus monspeliensis
Table 1. Functional species groups in relation to germination behavior.
SPGROUP GM Mean GM St Error DT Mean DT St Error NG Mean NG St Error n
C 9.68000 1.42890 39.9800 1.35842 0.34000 0.75583 100
F 43.5500 1.42890 3.83000 1.35842 2.62000 0.75583 100
E 35.7250 1.30440 13.1416 1.24006 1.13333 0.68998 120
D 27.6300 1.42890 21.4300 1.35842 0.94000 0.75583 100
B 15.4428 1.20764 33.1214 1.14808 1.43571 0.63879 140
A 0.73750 1.59756 40.7625 1.51876 8.50000 0.84505 80
Table 2. GM, DT and DT mean values and standard errors by species groups (order is that of entering GLM for
convenience).

7. FSG C0T0P5 C0T0P8 C0T5P5 C0T5P8 C0T15P5 C0T15P8 C1T5P5 C1T5P8 C1T15P5 C1T15P8
A GM 9.00±12.14 5.75±8.81 0.00±0.00 0.00±0.00 0.00±0.00 0.00±0.00 0.00±0.00 0.00±0.00 0.00±0.00 0.00±0.00
DT 8.75±10.96 6.75±5.12 100.00±0.00 100.00±0.00 100.00±0.00 100.00±0.00 99.75.00±0.50 100.00±0.00 100.00±0.00 100.00±0.00
B GM 74.57±24.22 83.00±18.64 0.00±0.00 73.14±13.14 0.00±0.00 4.71±11.54 0.00±0.00 73.42±17.19 0.00±0.00 0.00±0.00
DT 15.42±19.48 7.71±5.08 100.00±0.00 22.57±14.25 100.00±0.00 95.28±12.47 100.00±0.00 21.42±14.48 100.00±0.00 100.00±0.00
C GM 93.20±5.26 91.20±5.44 0.00±0.00 5.00±11.18 0.00±0.00 0.80±1.78 0.00±0.00 3.40±7.60 0.00±0.00 0.00±0.00
DT 4.80±3.42 7.40±6.22 99.20±1.78 93.6±14.31 100.00±0.00 99.20±1.78 100.00±0.00 95.40±10.28 100.00±0.00 100.00±0.00
D GM 87.60±8.73 92.20±11.03 91.20±8.04 91.00±8.03 0.60±1.34 10.00±22.36 89.80±8.87 90.20±9.90 0.00±0.00 0.00±0.00
DT 4.80±3.03 2.00±1.22 8.80±8.04 7.80±6.72 99.40±1.34 90.00±22.36 10.20±8.87 5.60±6.10 100.00±0.00 100.00±0.00
E GM 94.50±4.13 88.16±12.17 91.00±8.48 81.16±21.05 0.00±0.00 83.00±13.49 94.16±8.90 89.00±10.88 0.83±2.04 92.66±4.54
DT 4.33±2.06 4.66±2.42 6.83±6.94 12.33±10.76 100±0.00 16.83±13.22 3.66±4.27 7.66±6.40 99.16±2.04 7.33±4.54
F GM 67.2±36.64 68.6±39.01 93.6±6.80 96.6±3.43 96.6±3.04 88.4±22.63 96.2±5.54 98.6±1.51 76.2±24.30 89±21.81
DT 9.80±6.72 3.60±4.92 6.40±6.80 3.40±3.43 3.20±2.68 10.20±19.51 3.80±5.54 1.40±1.51 23.80±24.30 11.00±21.81
Table 6. Mean ± SD
values of germinated
(GM) and destroyed
(DT) seeds, by
species group and by
modalities of fire
treatment.
Figure 7. DCA ordination, axis 1 and 2
of 32 x 10 GM matrix (species by
simulated fire modalities). Cumulative
percentage variance explained: axis 1:
56.4%; axis 2: 70.0 %.

8. Multiple R Multiple R2 Adjusted R2 SS Model df Model SS Residual Df Residual F p
GM 0.780859 0.609741 0.604794 201292.2 8 128835.0 631 123.2345 0.00
DT 0.813138 0.661194 0.656898 227237.0 8 116440.0 631 153.9276 0.00
NG 0.444005 0.197141 0.186962 8851.6 8 36048.2 631 19.3676 0.00
Effect GM Param. GM SE GM t GM p DT Param. DT SE DT t DT p NG Param. NG SE NG t NG p
ercept 20.8322 2.637696 7.8979 0.000000 24.1641 2.507604 9.6363 0.000000 5.00370 1.395243 3.58625 0.000361
SH -0.6289 1.198170 -0.5249 0.599845 2.3195 1.139076 2.0363 0.042135 -1.69062 0.633787 -2.66750 0.007838
ME -1.6602 0.097830 -16.9698 0.000000 2.0627 0.093005 22.1787 0.000000 -0.40258 0.051749 -7.77951 0.000000
EPTH 2.2813 0.376549 6.0583 0.000000 -2.4948 0.357977 -6.9691 0.000000 0.21354 0.199180 1.07210 0.284084
GROUP C -12.4476 1.299995 -9.5751 0.000000 14.6024 1.235879 11.8154 0.000000 -2.15484 0.687649 -3.13364 0.001807
GROUP F 21.4224 1.299995 16.4789 0.000000 -21.5476 1.235879 -17.4350 0.000000 0.12516 0.687649 0.18201 0.855634
GROUP E 13.5974 1.209597 11.2413 0.000000 -12.2359 1.149939 -10.6405 0.000000 -1.36151 0.639832 -2.12792 0.033731
GROUP D 5.5024 1.299995 4.2327 0.000027 -3.9476 1.235879 -3.1942 0.001472 -1.55484 0.687649 -2.26110 0.024093
GROUP B -6.6847 1.140650 -5.8604 0.000000 7.7438 1.084392 7.1412 0.000000 -1.05913 0.603361 -1.75538 0.079680
Table7. Summary of GLM results for dependent variables GM, DT and NG: whole model R2; and
‘whole model vs. residual’ sum-of-squares test.
Table 8. Parameter estimates of GLM, for dependent variables GM, DT and NG. Param.= regression
coefficients (parameters); SE=Standard Error; t-statistic for regression coefficients; p=probability for 95%
confidence level (i.e. coefficient is significant if p<0.05).

9. AX1 AX2 AX3
Parameters ASH 0.1185 -0.2115 -1.0414
TIME 1.1161 -0.0557 0.4690
DEPTH -0.3294 -0.9686 0.1775
t - values ASH 0.9219 -0.7006 -1.0490
(p<0.05) TIME 8.6127 * -0.1831 0.4686
DEPTH -2.6919* -3.3691* 0.1878
Inter-set ASH 0.3931 -0.2323 -0.3494
correlations of TIME 0.9255 -0.2121 0.0586
factors with axis DEPTH -0.1391 -0.8022 0.0729
Figure 8. CCA triplot for first two
axes of ‘species’ matrix: 32
species x 10 modalities vs.
‘treatment’ matrix: 3 treatment
variables x ten modalities
Table 10. Canonical coefficients (parameters),
t-values (t>2.1: p<0.05) and correlations of
factors with axes for first three axes of CCA (‘*’
marks significant parameters).