1 Heterogeneity of edaphic factors and the composition of fern species -Rebio Uatumã and DBFFP Reserves- Flávia Costa 1 ; Gabriela Zuquim 1 ; Jefferson.

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Presentation transcript:

1 Heterogeneity of edaphic factors and the composition of fern species -Rebio Uatumã and DBFFP Reserves- Flávia Costa 1 ; Gabriela Zuquim 1 ; Jefferson Prado 2 1 INPA, 2 IBt - SP

2 In Central Amazon, soil texture (clay content) was indentified as the main factor determining the community composition of ferns Costa et al 2005 Introduction in Reserva Ducke

3 Introduction And in DBFFP... Zuquim et al 2008 (PDBFF) This seems to be a consistent and general pattern to Central Amazon. BUT...

4 BUT... In Western Amazonia, many studies show soil fertility as the main predictor of the community composition of ferns Introduction The transects are arranged in increasing order of soil cation content (sum of exchangeable Ca, K, Mg, and Na). Tuomisto et al 2002

5 Why? This difference may reflect the range of the environmental gradients in each region The longer the gradient, the bigger the importance of the factor to predictive models. We expect that floristic heterogeneity will be related to the heterogeneity in soil fertility. Introduction

6 Ferns ~ spp in the world, ~500 spp in the Amazon Alternation of generations Intense production of spores Spores are wind dispersed Low rate of evolutionary morphological changes* Introduction *Haufler, 2007

7 Questions What are the main determinants of floristic composition in 2 different sites? How and why do relative contributions of each factor differ? To what level is the floristic heterogeneity associated with edaphic heterogeneity? Introduction

8 Rebio Uatumã Methods Study sites DBFFP continuos reserves

9 Location of the plots Methods DBFFP: 38 plots, per reserve; 1 – 25 km apart PPBio modules Uatumã: 30 plots, 1 – 7 km apart PPBio complete grid

10 2 m * * * * * * Plots 250 x 2 m Longer axis following the contour line Soil: sub-samples at each 50 m Ferns: terrestrial and hemi-epiphytes (leaves longer than 10 cm) Methods

11 Data analysis NMDS Linear uni and multivariate regressions PCOrd and Systat Methods

12 Range of the fertility gradient x floristic heterogeneity Results UatumãDBFFP UatumãDBFFP Uatumã Sum of bases (%) Clay (%) Floristic composition (NMDS2)

13 Strong influence of soil fertility Results Uatumã DBFFP

14 Strong influence of soil fertility Results

15 Tree regression - the hieraquical influence of edaphic factors Results Most of the soils in Central Amazon are within this range of variation in soil fertility, ex. DBFFP and Ducke As an exception, Uatumã region has a wider range of variation of soil fertility NMDS1, NMDS2 (abundance) = c + cation content + clay content

16 The perception of the effect of soil fertility on fern community is highly dependent on “where” we are within the gradient These results shed light on the consistency of species responses to soil gradient across geographical regions within Amazonia. Lenght of the gradient McCoy, 2002, Butterflies from Florida Conclusion/Final remarks

17 Obrigada PELD Tânia Pimentel, Maria Luziene, Juruna, Joelson, field assistants, Chicon, Bill Magnusson, friends and collegues.