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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| 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
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| Series: | Earth's Future |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024EF004648 |
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