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Effects of Topography on Tropical Forest Structure Depend on Climate ContextTopography affects abiotic conditions which can influence the structure, function, and dynamics of ecological communities. An increasing number of studies have demonstrated biological consequences of fine-scale topographic heterogeneity but we have a limited understanding of how We merged high-resolution (1 sq. meter) data on topography and canopy height derived from airborne lidar with ground-based data from 15 forest plots in Puerto Rico distributed along a precipitation gradient spanning ca. 800 to 3,500 mm yr(exp -1). Ground-based data included species composition, estimated above-ground biomass (AGB), and two key functional traits (wood density and leaf mass per area, LMA) that reflect resource-use strategies and a trade-off between hydraulic safety and hydraulic efficiency. We used hierarchical Bayesian models to evaluate how the interaction between topography climate is related to metrics of forest structure (i.e., canopy height and AGB), as well as taxonomic and functional alpha- and beta-diversity. Fine-scale topography (characterized with the topographic wetness index, TWI) significantly affected forest structure and the strength (and in some cases direction) of these effects varied across the precipitation gradient. In all plots, canopy height increased with topographic wetness but the effect was much stronger in dry compared to wet forest plots. In dry forest plots, topographically wetter microsites also had higher levels of AGB but in wet forest plots, topographically drier microsites had higher AGB. Fine-scale topography influenced functional composition but had only weak or non-significant effects on taxonomic and functional alpha- and beta-diversity. For instance, community-weighted wood density followed a similar pattern to AGB across plots. We also found a marginally significant association between variation of wood density and topographic heterogeneity that depended on climate context. Synthesis: The effects of fine-scale topographic heterogeneity on tropical forest structure and composition depend on the climate context. Our study demonstrates how a stronger integration of topographic heterogeneity across precipitation gradients could improve estimates of forest structure and biomass, and may provide insight to the ways that topography might mediate species responses to drought and climate change.
Document ID
20190032589
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
External Source(s)
Authors
Robert Muscarella ORCID
(Uppsala University Uppsala, Sweden)
Samira Kolyaie
(Aarhus University Aarhus, Denmark)
Douglas C Morton
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Jess K Zimmerman
(University of Puerto Rico System San Juan, Puerto Rico, United States)
María Uriarte
(Columbia University New York, New York, United States)
Date Acquired
November 7, 2019
Publication Date
July 27, 2019
Publication Information
Publication: Journal of Ecology
Publisher: Wiley
Volume: 108
Issue: 1
Issue Publication Date: January 1, 2020
ISSN: 0022-0477
e-ISSN: 1365-2745
URL: https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/1365-2745.13261
Subject Category
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN74616
Report Number: GSFC-E-DAA-TN74616
E-ISSN: 1365-2745
ISSN: 0022-0477
Funding Number(s)
CONTRACT_GRANT: NSF DEB-1753810
CONTRACT_GRANT: NSF EF-1137239
CONTRACT_GRANT: NSF DEB-1239764
PROJECT: ESMD_471292
CONTRACT_GRANT: NSF DEB-1311367
CONTRACT_GRANT: NSF DEB-1546686
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
External Peer Committee
Keywords
Tropical dry forest
Canopy height
Puerto Rico
Tropical rain forest
Climate gradient
Microtopographic heterogeneity
Wood density
Above ground biomass
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