In:
Journal of Geophysical Research: Biogeosciences, American Geophysical Union (AGU), Vol. 126, No. 11 ( 2021-11)
Abstract:
A 1 km resolution net primary productivity product of global grasslands was created using field‐data and machine learning method Climate, soil, topography, and vegetation jointly influenced the spatial distribution of belowground net primary productivity More attention should be paid on belowground and non‐climatic factors to better assess the carbon cycle in global grasslands
Type of Medium:
Online Resource
ISSN:
2169-8953
,
2169-8961
DOI:
10.1029/2021JG006472
Language:
English
Publisher:
American Geophysical Union (AGU)
Publication Date:
2021
detail.hit.zdb_id:
3094167-2
detail.hit.zdb_id:
2220777-6
SSG:
16,13
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