[1]Hu Jixi,Zhou Qinghua,Xu Yong.Spatiotemporal Variation of Vegetation Carbon Use Efficiency and Its Influencing Factors in Northeast China[J].Research of Soil and Water Conservation,2023,30(06):274-283.[doi:10.13869/j.cnki.rswc.2023.06.005]
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Spatiotemporal Variation of Vegetation Carbon Use Efficiency and Its Influencing Factors in Northeast China
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
30
Number of periods:
2023 06
Page number:
274-283
Column:
Public date:
2023-10-10
- Title:
- Spatiotemporal Variation of Vegetation Carbon Use Efficiency and Its Influencing Factors in Northeast China
- CLC:
- Q948
- DOI:
- 10.13869/j.cnki.rswc.2023.06.005
- Abstract:
- [Objective] The aims of this study are to reveal the temporal and spatial distribution characteristics of vegetation carbon use efficiency in northeast China, as well as the relationship between vegetation CUE and influencing factors, they can provide a reference for monitoring regional ecological environment quality and vegetation ecosystem status. [Methods] Based on MODIS GPP and NPP data, combined with meteorological data, the linear regression analysis, Mann-Kendall significance test, and partial correlation analysis were used to explore the spatiotemporal variation of vegetation CUE, to analyze the correlation and lag effect of vegetation CUE with climate factors, and to reveal the spatial distribution characteristics of the climate-driven mechanism affecting vegetation CUE variation in northeast China from 2000 to 2020. [Results] The annual average vegetation CUE was 0.64 in northeast China from 2000 to 2020, displaying a spatial distribution pattern of high in the east and low in the west. In the past 21 years, the vegetation CUE showed a slow upward trend in northeast China with an increasing magnitude of 0.002/a. The areas with an increasing magnitude greater than 0 accounted for 69.22% of the study area, and the areas with extremely significant increase and extremely significant decrease accounted for 6.28% and 1.11% of the study area, respectively. The areas with extremely significant decrease were mainly located in the northeastern part of Heilongjiang Province. Vegetation CUE was negatively correlated with temperature, sunshine duration, and relative humidity, and positively correlated with precipitation as a whole. In addition, precipitation had a stronger impact on vegetation CUE than other climatic factors. The vegetation CUE mainly responded to the changes of current month of precipitation, air temperature, sunshine duration, and relative humidity in northeast China, and the vegetation CUE was mainly driven by weak combination effect of air temperature, precipitation, sunshine duration, and relative humidity. [Conclusion] The vegetation CUE in northeast China had generally increased, and was mainly affected by the concurrent month of the climate factors. The research results can provide the reference for formulating sustainable development policies for vegetation ecosystems in northeast China.
- References:
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Last Update:
2023-10-10