Distinct environmental controls on above- and below-ground net primary productivity in Northern China’s grasslands

•BNPP in China’s grasslands was estimated by integrating measured ANPP and MODIS NPP.•Machine learning revealed climate as key driver of ANPP and topography for BNPP.•Spatial mapping showed distinct spatial patterns of both ANPP and BNPP. Grasslands, which cover approximately 40 % of the global land...

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Veröffentlicht in:	Ecological indicators Jg. 167; S. 112717
Hauptverfasser:	Zheng, Haojun, Yang, Xiaofan, Song, Changqing, Zhang, Wen, Sun, Wenjuan, Wang, Guocheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2024 Elsevier
Schlagworte:	carbon carbon sequestration China climate climate change ecological function global carbon budget Grasslands landscapes Machine-learning model Mapping net primary productivity Northern China NPP Remote sensing soil soil carbon temperature topography variance China Grasslands Mapping Machine-learning model Northern China Remote sensing NPP
ISSN:	1470-160X
Online-Zugang:	Volltext
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