中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Field-Based Estimation of Net Primary Productivity and Its Above- and Belowground Partitioning in Global Grasslands

文献类型:期刊论文

作者Sun, Yuanfeng; Feng, Yuhao; Wang, Yupin; Zhao, Xia1; Yang, Yuanhe1; Tang, Zhiyao; Wang, Shaopeng; Su, Haojie; Zhu, Jiangling; Chang, Jinfeng2
刊名JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
出版日期2021
卷号126期号:11
ISSN号2169-8953
关键词net primary productivity field data global grasslands random forest model spatial product driving factors
DOI10.1029/2021JG006472
文献子类Article
英文摘要Net primary productivity (NPP) in global grasslands is a critical component of terrestrial carbon cycling and the primary source of food for herbivores. However, the size and spatial distribution of NPP across global grasslands remain unclear, especially for belowground NPP (BNPP), which limits our understanding of above- and belowground carbon cycling and the assessments of herbivore food security. Here, we compiled a comprehensive grassland NPP database with 1,467 field measurements to estimate the spatial distributions of aboveground NPP (ANPP), BNPP, total NPP (TNPP), and the fraction of BNPP (f(BNPP)) using the random forest (RF) model. The global mean grassland ANPP, BNPP, TNPP, and f(BNPP) were 433 +/- 31 g m(-2) yr(-1), 593 +/- 47 g m(-2) yr(-1), 979 +/- 78 g m(-2) yr(-1), and 0.54 +/- 0.02, respectively. The total ANPP, BNPP, and TNPP over global grasslands were 6.84 +/- 0.49, 9.36 +/- 0.74, and 15.46 +/- 1.23 Pg C yr(-1), respectively. ANPP, BNPP, and TNPP exhibited decreasing trends from low latitudes toward the poles. The spatial pattern of f(BNPP) was almost opposite to that of ANPP. Climate was a major determinant in shaping the spatial distribution of ANPP and TNPP, while soil and vegetation had significant impacts on that of BNPP and f(BNPP). Our findings suggest that field data-driven estimation of NPP using the RF model could be a useful approach for obtaining spatially explicit NPP of grasslands, particularly BNPP products, and that more attention should be paid on belowground and non-climatic factors to better assess the carbon cycle in global grasslands.
学科主题Environmental Sciences ; Geosciences, Multidisciplinary
电子版国际标准刊号2169-8961
出版地WASHINGTON
WOS关键词ABOVEGROUND PRIMARY PRODUCTIVITY ; NORTH-AMERICAN GRASSLANDS ; AFFECT ROOT PRODUCTION ; RAIN-USE EFFICIENCY ; INNER-MONGOLIA ; ALPINE MEADOW ; GRAZING INTENSITY ; TALLGRASS PRAIRIE ; SOIL CARBON ; LAND-USE
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
出版者AMER GEOPHYSICAL UNION
WOS记录号WOS:000722469900013
资助机构National Key Research and Development Program of China [2017YFC0503906] ; National Natural Science Foundation of China [31988102] ; Fundamental Research Funds for the Central Universities [2021QNA6005]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/26737]  
专题植被与环境变化国家重点实验室
作者单位1.Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Inst Ecol,Minist Educ, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
3.Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou, Peoples R China
推荐引用方式
GB/T 7714
Sun, Yuanfeng,Feng, Yuhao,Wang, Yupin,et al. Field-Based Estimation of Net Primary Productivity and Its Above- and Belowground Partitioning in Global Grasslands[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2021,126(11).
APA Sun, Yuanfeng.,Feng, Yuhao.,Wang, Yupin.,Zhao, Xia.,Yang, Yuanhe.,...&Fang, Jingyun.(2021).Field-Based Estimation of Net Primary Productivity and Its Above- and Belowground Partitioning in Global Grasslands.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,126(11).
MLA Sun, Yuanfeng,et al."Field-Based Estimation of Net Primary Productivity and Its Above- and Belowground Partitioning in Global Grasslands".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 126.11(2021).

入库方式: OAI收割

来源:植物研究所

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