Abstract
Abiotic constraints and biotic interactions act simultaneously to shape communities. However, these community assembly mechanisms are often studied independently, which can limit understanding of how they interact to affect species dynamics and distributions. We develop a hierarchical Bayesian neighborhood modeling approach to quantify the simultaneous effects of topography and crowding by neighbors on the growth of 124,704 individual stems ≥1 cm DBH for 1,047 tropical tree species in a 25-ha mapped rainforest plot in Amazonian Ecuador. We build multi-level regression models to evaluate how four key functional traits (specific leaf area, maximum tree size, wood specific gravity and seed mass) mediate tree growth response to topography and neighborhood crowding. Tree growth is faster in valleys than on ridges and is reduced by neighborhood crowding. Topography and crowding interact to influence tree growth in ~10% of the species. Specific leaf area, maximum tree size and seed mass are associated with growth responses to topography, but not with responses to neighborhood crowding or with the interaction between topography and crowding. In sum, our study reveals that topography and neighborhood crowding each influence tree growth in tropical forests, but act largely independently in shaping species distributions. While traits were associated with species response to topography, their role in species response to neighborhood crowding was less clear, which suggests that trait effects on neighborhood dynamics may depend on the direction (negative/positive) and degree of symmetry of biotic interactions. Our study emphasizes the importance of simultaneously assessing the individual and interactive role of multiple mechanisms in shaping species dynamics in high diversity tropical systems.
Original language | English |
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Pages (from-to) | 2272-2283 |
Number of pages | 12 |
Journal | Ecology |
Volume | 99 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2018 |
Bibliographical note
Publisher Copyright:© 2018 by the Ecological Society of America
Funding
Warnes, G. R., B. Bolker, T. Lumley, and R. C. J. C. from Randall C. Johnson are Copyright SAIC-Frederick, I. F. by the Intramu-ral Research Program, of the NIH, N. C. Institute, and C. for Cancer Research under NCI Contract NO1-CO-12400. 2015. gmodels: Various R Programming Tools for Model Fitting. We are grateful to everyone who has contributed to the Yasuní FDP project, in particular M. Zambrano, P. Alvia, W. Loor, A. Loor, J. Suárez, G. Grefa and J. Suárez. We thank C. Hernández for data management and Á. Pérez for species identification. We thank V. Persson and M. Zambrano for determining seed masses, and P. Alvia and M. Zambrano for determining wood densities. We thank the Pontifical Catholic University of Ecuador for funding research work and census (grants L 13251 and N 13373 to R. Valencia). We also thank the Mellon Family Foundation, NSF, Smithsonian Tropical Research Institute and The Government of Ecuador (through Donaciones del Impuesto a la Renta) for funding previous forest censuses. Collection of seed mass was supported by NSF grants DEB-0614525 and 1122634. N. Kraft was partially supported by NSF DEB-1644641. CF and NJBK designed the study, formatted data and analyzed output data. RV collected demographic data; NJBK, SJW and NG collected trait data. CF, JRL and MU designed the modeling framework. CF performed modeling work and wrote the first draft of the manuscript. All authors contributed to revisions and gave final approval for publication.
Funders | Funder number |
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C. for Cancer Research | |
Donaciones del Impuesto a la Renta | DEB-1644641, DEB-0614525 |
Mellon Family Foundation | |
National Science Foundation | |
National Institutes of Health | |
National Cancer Institute | NO1-CO-12400 |
Directorate for Biological Sciences | 1122634 |
Smithsonian Tropical Research Institute | |
Pontifical Catholic University of Ecuador | N 13373, L 13251 |
Keywords
- community dynamics
- functional traits
- growth model
- spatial interactions
- species coexistence
- topographic gradients
- tropical forests