Abstract
Tropical rainforests are reservoirs of terrestrial carbon and biodiversity. Large and often emergent trees store disproportionately large amounts of aboveground carbon and greatly influence the structure and functioning of tropical rainforests. Despite their importance, controls on the abundance and distribution of emergent trees are largely unknown across tropical landscapes. Conventional field approaches are limited in their ability to characterize patterns in emergent trees across vast landscapes with varying environmental conditions and floristic composition. Here, we used a high-resolution light detection and ranging (LiDAR) sensor aboard the Carnegie Airborne Observatory Airborne Taxonomic Mapping System (CAO-AToMS) to examine the abundance and distribution of tall emergent tree crowns (ETC) relative to surrounding tree crowns (STC) across the Osa Peninsula, a geologically and topographically diverse region of Costa Rica. The abundance of ETC was clearly influenced by fine-scale topographic variation, with distribution patterns that held across a variety of geologic substrates. Specifically, the density of ETC was much greater on lower slopes and in valleys, compared to upper slopes and ridges. Furthermore, using the CAO high-fidelity imaging spectrometer, ETC had a different spectral signature than that of STC. Most notably, ETC had lower remotely sensed foliar nitrogen than STC, which was verified with an independent field survey of canopy leaf chemistry. The underlying mechanisms to explain the topographic-dependence of ETCs and linkages to canopy N are unknown, and remain an important area of research.
| Original language | English |
|---|---|
| Pages (from-to) | 829-839 |
| Number of pages | 11 |
| Journal | Ecography |
| Volume | 40 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2017 |
Funding
We thank R. Martin, C. Anderson, D. Knapp and N. Vaughn of the Carnegie Airborne Observatory for assistance with data collection and processing. The Osa Conservation for field staff and accommodations, as well as forest access. This study was supported by the Blue Moon Foundation, National Science Foundation (award numbers DEB 1264027 and DEB 1263651), the John D. and Catherine T. MacArthur Foundation, the Grantham Foundation for the Protection of the Environment and the endowment of the Carnegie Inst. for Science. CAO data collection and processing was funded privately by the Carnegie Inst. for Science. The Carnegie Airborne Observatory is made possible by the Avatar Alliance Foundation, John D. and Catherine T. MacArthur Foundation, M. A. N. Baker, G. L. Baker Jr, and W. R. Hearst III.
| Funder number |
|---|
| DEB 1263651, DEB 1264027 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
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