Remotely Sensed Variables Predict Grassland Diversity Better at Scales Below 1,000 km as Opposed to Abiotic Variables That Predict It Better at Larger Scales

Remotely Sensed Variables Predict Grassland Diversity Better at Scales Below 1,000 km as Opposed to Abiotic Variables That Predict It Better at Larger Scales

Abstract Global spatial patterns of vascular plant diversity have been mapped at coarse grain based on climate‐dominated environment–diversity relationships and, where possible, at finer grain using remote sensing. However, for grasslands with their small plant sizes, the limited availability of veg...

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Bibliographic Details
Main Authors: Yujin Zhao, Bernhard Schmid, Zhaoju Zheng, Yang Wang, Jin Wu, Yao Wang, Ziyan Chen, Xia Zhao, Dan Zhao, Yuan Zeng, Yongfei Bai
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Earth's Future
Subjects:
climate‐dominated macro‐environment
essential biodiversity variables (EBVs)
fine‐grained mapping of species diversity
functional traits
Mongolian Plateau
spectral diversity
Online Access:https://doi.org/10.1029/2024EF004648
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https://doi.org/10.1029/2024EF004648

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