气候变化领域集成服务门户(CCPortal): Identifying the spatial drivers of net primary productivity: A case study in the Bailong River Basin, China

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DOI	10.1016/j.gecco.2021.e01685
	Identifying the spatial drivers of net primary productivity: A case study in the Bailong River Basin, China
	Zhou, Yanyan; Yue, Dongxia; Li, Chen; Mu, Xinliang; Guo, Jianjun
通讯作者	Yue, DX (通讯作者)，Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Gansu, Peoples R China.
发表日期	2021
ISSN	2351-9894
卷号	28
英文摘要	Net primary productivity (NPP) is an important indicator of regional vegetation growth status and ecosystem health. In the ecologically fragile Bailong River Basin (BRB) of China, particularly in its arid valley (AV) region, vegetation is extremely sensitive to anthropogenic interferences and natural influences. Therefore, there is an urgent need to identify NPP drivers in this region. Human activities shape the landscape and affect NPP dynamics. In addition, other factors including climate, soil, and topography play pivotal roles in NPP dynamics. Hence, identifying the interactions among these variables is essential for environmental management. Here, we aimed to identify the key drivers of spatial variation in NPP and evaluate the associations among these variables. We calculated the NPP based on moderate resolution imaging spectrometer data from 2018. Redundancy analysis and variation partitioning were used to identify the key drivers and to determine the unique, shared, and total explanatory variables of these sets of variables in the BRB and AV. The spatial heterogeneity of vegetation NPP was evident, and NPP in the north was lower than that in the south. Moreover, the natural and social factors of various townships in the two regions synergistically controlled vegetation growth. In the BRB, the first four axes explained 83.4% of the total variation in NPP across all townships. Meanwhile, in the AV, the first four axes explained only 80.06% of the total variation in NPP. Mean annual temperature, solar radiation, elevation, and slope were identified as the key drivers of NPP. Variation partitioning revealed complex inter-relationships among all sets of variables, with most explanatory variables being unique or shared; as such, climate factors was important explanatory variables of NPP in the BRB. In the AV, NPP was the most affected by topographic factors. Our results may aid the policymakers and planners in implementing sustainable vegetation restoration and conservation programs.
关键词	CLIMATE-CHANGE ANTHROPOGENIC ACTIVITIES VEGETATION NPP USE EFFICIENCY BULK-DENSITY LAND-USE GRASSLAND IMPACTS TREND ANPP
英文关键词	NPP; Drivers; RDA; Variation partitioning; Bailong River Basin
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Ecology
WOS记录号	WOS:000684188600004
来源期刊	GLOBAL ECOLOGY AND CONSERVATION
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254012
作者单位	[Zhou, Yanyan; Yue, Dongxia; Li, Chen; Mu, Xinliang] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Gansu, Peoples R China; [Guo, Jianjun] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Yanyan,Yue, Dongxia,Li, Chen,et al. Identifying the spatial drivers of net primary productivity: A case study in the Bailong River Basin, China[J]. 中国科学院西北生态环境资源研究院,2021,28.
APA	Zhou, Yanyan,Yue, Dongxia,Li, Chen,Mu, Xinliang,&Guo, Jianjun.(2021).Identifying the spatial drivers of net primary productivity: A case study in the Bailong River Basin, China.GLOBAL ECOLOGY AND CONSERVATION,28.
MLA	Zhou, Yanyan,et al."Identifying the spatial drivers of net primary productivity: A case study in the Bailong River Basin, China".GLOBAL ECOLOGY AND CONSERVATION 28(2021).