A1 Refereed original research article in a scientific journal
The role of topographic-derived hydrological variables in explaining plant species distributions in Amazonia
Authors: Moulatlet Gabriel M, Rennó Camilo D, Figueiredo Fernando OG, Ruokolainen Kalle, Banon Lise, Emilio Thaise, Balslev Henrik, Tuomisto Hanna
Publisher: INST NACIONAL PESQUISAS AMAZONIA
Publication year: 2022
Journal: Acta Amazonica
Journal name in source: ACTA AMAZONICA
Journal acronym: ACTA AMAZON
Volume: 52
Issue: 3
First page : 218
Last page: 228
Number of pages: 18
ISSN: 0044-5967
eISSN: 1809-4392
DOI: https://doi.org/10.1590/1809-4392202103682
Web address : https://doi.org/10.1590/1809-4392202103682
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/176550392
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 Jurui River region, in western Brazilian Amazonia. The area spans two geological formations (Ica and Solimoes) 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 Ica formation than in the Solimoes. 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.
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