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Vegetation Productivity and Precipitation Use Efficiency across the Yellow River Basin: Spatial Patterns and Controls

文献类型：期刊论文

作者Jiang, Ting1,2; Wang, Xiaolei2; Afzal, Muhammad Mannan1,2; Sun, Lin2; Luo, Yi1,2
刊名REMOTE SENSING
出版日期2022-10-01
卷号14期号:20页码:16
关键词net primary production precipitation use efficiency ecological restoration structural equation model Yellow River Basin
DOI10.3390/rs14205074
通讯作者Luo, Yi(luoyi@igsnrr.ac.cn)
英文摘要In arid and semi-arid climate zones, understanding the spatial patterns and biogeographical mechanisms of net primary production (NPP) and precipitation use efficiency (PUE) is crucial for assessing the function and stability of ecosystem services, as well as directing ecological restoration. Although the vegetation coverage has changed dramatically after the construction of several ecological restoration projects, due to limited observation data, fewer studies have provided a thorough understanding of NPP and PUE's recent spatial patterns and the controlling factors of different vegetation types in the Yellow River Basin (YRB). To narrow this gap, we integrated remote-sensing land-cover maps with long-term MODIS NPP and meteorological datasets to comprehend NPP and PUE spatial patterns in YRB. Furthermore, we applied structural equation models (SEM) to estimate the effect intensity of NPP and PUE controlling factors. The results showed that along geographical coordinates NPP and PUE decreased from southeast to northwest and trends were roughly consistent along latitude, longitude, and elevation gradients with segmented patterns of increasing and decreasing trends. As for climate gradients, NPP showed significant linear positive and negative trends across the mean annual precipitation (MAP) and the arid index (AI), while segmented changes for PUE. However, the mean annual average temperature (MAT) showed a positive slope for below zero temperature and no change above zero temperature for both NPP and PUE. SEM results suggested that AI determined the spatial pattern of NPP, whereas PUE was controlled by MAP and NPP. As the AI becomes higher in the further, vegetation tends to have decreased NPP with higher sensitivity to water availability. While artificial vegetation had a substantially lower NPP than original vegetation but increased water competition between the ecosystem and human society. Hence further optimization of artificial vegetation is needed to satisfy both ecological and economic needs. This study advanced our understanding of spatial patterns and biogeographic mechanisms of NPP and PUE at YRB, therefore giving theoretical guidance for ecological restoration and ecosystem function evaluation in the face of further climate change.
WOS关键词ECOLOGICAL RESTORATION PROJECTS ; NET PRIMARY PRODUCTIVITY ; LOESS PLATEAU ; CARRYING-CAPACITY ; INNER-MONGOLIA ; CLIMATE-CHANGE ; CHINA ; TRENDS ; AFFORESTATION ; REVEGETATION
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20060301] ; National Key Research and Development Program[2016YFC0501603]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000873582600001
出版者MDPI
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program
源URL[http://ir.igsnrr.ac.cn/handle/311030/186259]  
专题中国科学院地理科学与资源研究所
通讯作者Luo, Yi
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Ting,Wang, Xiaolei,Afzal, Muhammad Mannan,et al. Vegetation Productivity and Precipitation Use Efficiency across the Yellow River Basin: Spatial Patterns and Controls[J]. REMOTE SENSING,2022,14(20):16.
APA Jiang, Ting,Wang, Xiaolei,Afzal, Muhammad Mannan,Sun, Lin,&Luo, Yi.(2022).Vegetation Productivity and Precipitation Use Efficiency across the Yellow River Basin: Spatial Patterns and Controls.REMOTE SENSING,14(20),16.
MLA Jiang, Ting,et al."Vegetation Productivity and Precipitation Use Efficiency across the Yellow River Basin: Spatial Patterns and Controls".REMOTE SENSING 14.20(2022):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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