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Abstract
Concerns have been raised about the sustainability of large-scale afforestation in semi-arid regions due to potential water constraints. This study investigated whether increased humidity in the semi-arid regions of northwest China could sustain the continued expansion of afforestation efforts. Using multi-source remote sensing data, we found that between 2012 to 2020, annual cumulative precipitation increased by 2.5 millimeters per year, while annual average carbon sequestration in afforested areas declined by 0.002 kilograms of carbon per square meter per year, indicating asynchronous trends. This disparity was primarily attributed to the trade-off between vegetation photosynthesis and transpiration in response to external water conditions, which led to a decline in the water use efficiency of afforested vegetation. The effect of water use efficiency on carbon sequestration was driven by gross primary productivity, rather than evapotranspiration. These findings underscore the importance of targeted afforestation in semi-arid regions, considering local water resource sustainability.
In the China Loess Plateau, the annual precipitation increased while average carbon sequestration in afforested areas declined due to the trade-off between vegetation photosynthesis and transpiration, according to an analysis that uses the remote sensing data and a statistical approach.
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1 Hohai University, School of Earth Sciences and Engineering, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465)
2 Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
3 Ministry of Natural Resources, Land Satellite Remote Sensing Application Center, Beijing, China (GRID:grid.453137.7)
4 Hohai University, School of Earth Sciences and Engineering, Nanjing, China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465); Hohai University, Key Laboratory of Hydrologic-cycle and Hydrodynamic System of Ministry of Water Resources, Nanjing, PR China (GRID:grid.257065.3) (ISNI:0000 0004 1760 3465)