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]
东北地区植被碳利用率时空变化及其影响因子分析
- Title:
- Spatiotemporal Variation of Vegetation Carbon Use Efficiency and Its Influencing Factors in Northeast China
- 文章编号:
- 1005-3409(2023)06-0274-10
- 分类号:
- Q948
- 文献标志码:
- A
- 摘要:
- [目的]揭示东北地区植被碳利用率的时空分布特征,探明植被CUE与影响因子间的关系,为监测区域生态环境质量和植被生态系统状况提供参考。[方法]基于MODIS GPP和NPP数据,结合气象数据,采用一元线性回归分析、Mann-Kendall显著性检验和偏相关分析等方法,探讨了2000—2020年东北地区植被CUE的时空变化特征,分析了植被CUE与气候因子的相关关系及时滞效应,揭示了影响植被CUE变化的气候驱动机制的空间分布特征。[结果]2000—2020年东北地区多年平均植被CUE为0.64,在空间上呈现东高西低的分布格局。近21年,东北地区植被CUE呈缓慢上升趋势,变化斜率为0.002/a。变化斜率大于0的区域占69.22%,植被CUE呈极显著上升和极显著下降的占比分别为6.28%,1.11%,极显著下降区域主要位于黑龙江省的东北部地区。植被CUE与气温、日照时数和相对湿度整体呈负相关,与降水整体呈正相关,且降水对植被CUE的影响强于其他气候因子。东北地区植被CUE主要响应于当月气温、降水、日照时数和相对湿度的变化,且植被CUE主要受气温、降水、日照时数、相对湿度弱驱动。[结论]东北地区植被CUE总体呈上升趋势,且主要受当月气候因子的影响。研究结果可为制定东北地区植被生态系统可持续发展方针提供参考依据。
- 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.
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备注/Memo
收稿日期:2022-10-10 修回日期:2022-11-09
资助项目:江西省教育厅科学技术研究项目(GJJ212701); 广西自然科学基金(2020GXNSFBA297160)
第一作者:胡佶熹(1981—),男,江西萍乡人,博士研究生,研究方向为土地资源管理。E-mail:hjx198118@163.com
通信作者:徐勇(1988—),男,湖南益阳人,博士,副教授,主要从事气候变化和植被覆盖反演研究。E-mail:yongxu@glut.edu.cn