Identifying the Responses of Vegetation Gross Primary Productivity and Water Use Efficiency to Climate Change under Different Aridity Gradients across China
文献类型：期刊论文
| 作者 | Li, Xiaoyang1; Zou, Lei; Xia, Jun2; Wang, Feiyu; Li, Hongwei3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 15期号:6页码:1563 |
| 关键词 | GPP WUE aridity gradient climate change remote sensing China |
| DOI | 10.3390/rs15061563 |
| 文献子类 | Article |
| 英文摘要 | Despite the fact that gross primary productivity (GPP) and water use efficiency (WUE) have been widely used as indicators to evaluate the water-carbon cycle, uncertainties exist in the patterns of GPP and WUE responses to climate variability along different aridity gradients. In this study, the aridity index was used to divide China into four arid-humid zones. The spatiotemporal variability of multiple vegetation types GPP and WUE in response to climate change under different arid-humid zones were investigated based on remote sensing data. The results indicated that the increasing trend of WUE in the four arid-humid zones of China was less pronounced than GPP from 2001 to 2021. The GPP value decreased gradually from the humid to the arid zone, and the WUE value in the arid zone was slightly higher than in the semi-arid zone. The GPP of all vegetation types in China showed a tendency to increase, while shrubland and wetland WUE tended to decrease. The major vegetation types (e.g., forest, cropland and grassland) in each aridity gradient contributed to the changes in local GPP and WUE. However, in individual arid-humid zones, wetland and shrubland also exhibited high GPP and WUE values that were not inferior to forest and cropland. Temperature and precipitation were the main climatic factors responsible for the increase in vegetation GPP in different aridity gradients, with a higher positive correlation for temperature than precipitation. WUE showed a distinct positive and negative correlation with the thermal factors (temperature and net radiation) and the moisture factors (precipitation and relative humidity); this pattern was more pronounced in the humid and semi-humid zones. Net radiation and precipitation may be the main climatic factors causing a slight upward trend in WUE across the arid-humid zones, while the decrease in shrubland and wetland WUE may be related to relative humidity and precipitation. |
| WOS关键词 | GLOBAL EVAPOTRANSPIRATION ; LAND-USE ; COVARIATION ; TEMPERATURE ; VARIABLES ; HUMIDITY ; IMPACTS ; TESTS ; MODIS |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000958725700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190519]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430000, Peoples R China 4.Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc Minist Educ, Beijing 100871, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xiaoyang,Zou, Lei,Xia, Jun,et al. Identifying the Responses of Vegetation Gross Primary Productivity and Water Use Efficiency to Climate Change under Different Aridity Gradients across China[J]. REMOTE SENSING,2023,15(6):1563. |
| APA | Li, Xiaoyang,Zou, Lei,Xia, Jun,Wang, Feiyu,&Li, Hongwei.(2023).Identifying the Responses of Vegetation Gross Primary Productivity and Water Use Efficiency to Climate Change under Different Aridity Gradients across China.REMOTE SENSING,15(6),1563. |
| MLA | Li, Xiaoyang,et al."Identifying the Responses of Vegetation Gross Primary Productivity and Water Use Efficiency to Climate Change under Different Aridity Gradients across China".REMOTE SENSING 15.6(2023):1563. |
入库方式： OAI收割
来源：地理科学与资源研究所
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