The role of topographic-derived hydrological variables in explaining plant species distributions in Amazonia

Author:

MOULATLET Gabriel M.1ORCID,RENNÓ Camilo D.2,FIGUEIREDO Fernando O. G.3,RUOKOLAINEN Kalle4,BANON Lise2,EMILIO Thaise5,BALSLEV Henrik6,TUOMISTO Hanna7

Affiliation:

1. University of Turku, Finland; Instituto de Ecología A.C., Mexico

2. Instituto Nacional de Pesquisas Espaciais, Brazil

3. Instituto Nacional de Pesquisas da Amazonia, Brazil

4. University of Turku, Finland; University of Turku, Finland

5. Universidade Estadual de Campinas, Brazil

6. Aarhus University, Denmark

7. University of Turku, Finland

Abstract

ABSTRACT In Amazonian terra-firme non inundated forests, local floristic composition and species occurrence are explained by water availability as determined by topographic conditions. Topographic complexity can render these conditions quite variable across the landscape and the effects on plant ecological responses are difficult to document. We used a set of topographically defined hydrological metrics to evaluate community composition and single-species responses of four plant groups [pteridophytes (ferns and lycophytes), Melastomataceae, palms (Arecaceae) and Zingiberales] to topographic conditions in the middle Juruá River region, in western Brazilian Amazonia. The area spans two geological formations (Içá and Solimões) with contrasting topography. River terraces are also found along the main rivers in the area. Local topographic conditions were approximated by height above the nearest drainage (HAND), slope, and Strahler´s drainage order, all obtained from a SRTM digital elevation model (DEM). Data were analyzed using linear and generalized linear mixed models and regression trees. HAND was most successful in explaining floristic composition for all plant groups, except for Melastomataceae, and was more important in the hilly Içá formation than in the Solimões. Individual occurrences of 57% species were predicted by at least one of the topographic variables, suggesting a marked habitat specialization along topographic gradients. For these species, response models using SRTM-DEM-derived variables gave similar results than models using field-measured topography only. Our results suggest that topographical variables estimated from remote sensing can be used to predict local variation in the structure of plant communities in tropical forests.

Publisher

FapUNIFESP (SciELO)

Subject

General Agricultural and Biological Sciences

Reference54 articles.

1. Model Selection and Multi-Model Inference;Anderson D.,2004

2. Environmental drivers of tree community turnover in western Amazonian forests;Baldeck C.A.;Ecography,2016

3. Composition and structure of adjacent unflooded and floodplain forest in Amazonian Ecuador;Balslev H.;Opera Botanica,1987

4. Predicting suitable nesting sites for the Black caiman (Melanosuchus niger Spix 1825) in the Central Amazon basin;Banon G.P.R.;Neotropical Biodiversity,2019

5. Árvores de decisão aplicadas à extração automática de redes de dranagem;Banon L.,2013

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