Pan-tropical plant functional trait variation from space
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918034348703744 |
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| author | Schimel, David Baresch, Andres Chlus, Adam Townsend, Phil Schneider, Fabian Laurin, Gaia Vaglio Poulter, Ben |
| author_facet | Schimel, David Baresch, Andres Chlus, Adam Townsend, Phil Schneider, Fabian Laurin, Gaia Vaglio Poulter, Ben |
| contents | Plant functional trait variation in tropical forests is central to predicting ecosystem responses to change. Informaiton on traits is limited relative to the diversity of climate, landforms, disturbance regimes and species present. These traits are central to modeled predictions of ecosystem change. We used a new spaceborne imagining spectrometer from the Italian Space Agency to sample roughly 1% of the tropical moist forest biome for traits along the Leaf Economics Spectrum, as well as data to contrast them with adjacent biomes. we used these data to examine LES traits between tropical moist forests on three continents. Knowledge of trait variation and its environmental controls can inform models of ecosystem response in a changing environment, allowing biological detail in models of biophysical and biogeochemical processes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_19199 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Pan-tropical plant functional trait variation from space Schimel, David Baresch, Andres Chlus, Adam Townsend, Phil Schneider, Fabian Laurin, Gaia Vaglio Poulter, Ben Populations and Evolution Plant functional trait variation in tropical forests is central to predicting ecosystem responses to change. Informaiton on traits is limited relative to the diversity of climate, landforms, disturbance regimes and species present. These traits are central to modeled predictions of ecosystem change. We used a new spaceborne imagining spectrometer from the Italian Space Agency to sample roughly 1% of the tropical moist forest biome for traits along the Leaf Economics Spectrum, as well as data to contrast them with adjacent biomes. we used these data to examine LES traits between tropical moist forests on three continents. Knowledge of trait variation and its environmental controls can inform models of ecosystem response in a changing environment, allowing biological detail in models of biophysical and biogeochemical processes. |
| title | Pan-tropical plant functional trait variation from space |
| topic | Populations and Evolution |
| url | https://arxiv.org/abs/2505.19199 |