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作 者:冶晓娟 王永辉 潘红忠[1] 白钰 董得福 姚华明 YE Xiaojuan;WANG Yonghui;PAN Hongzhong;BAI Yu;DONG Defu;YAO Huaming(Resource And Environmental Engineering College of Yangtze University,Wuhan 430000,Hubei,China;Huanghe Hy-Dropower Developement Co.Ltd,Xining 810000,Qinghai,China;China Yangtze Power Co.Ltd,Yichang 443000,Hubei,China)
机构地区:[1]长江大学油气地球化学与环境湖北省重点实验室,湖北武汉430000 [2]黄河上游水电有限责任开发公司,青海西宁810000 [3]中国长江电力股份有限公司,湖北宜昌443000
出 处:《干旱区研究》2022年第5期1673-1683,共11页Arid Zone Research
基 金:国家自然科学基金项目(41902257);基于光伏、风电高占比条件下梯级水电站优化调度关键技术研究及应用。
摘 要:为探究青海省植被固碳量时空演变及其驱动因子,基于2000—2020年净初级生产力(NPP)数据和土壤呼吸模型计算得到植被净生态系统生产力(NEP),采用趋势分析、偏相关分析及地理探测器等方法对青海省植被NEP时空演变及驱动因子进行定量分析。结果表明:青海省植被NEP在近20 a间波动上升,年均增幅为1.54 g C·m^(-2)·a^(-1);年均植被NEP空间变化差异较大,由东南向西北递减,71.08%的区域保持不变或增加;对植被NEP解释力最强的是NDVI,降水、气温、人口密度等气候与人为因子对NEP的空间分异解释力较强;由于双因子交互作用会增强对植被NEP空间分异的解释力,因此在未来提升青海省固碳能力时,要注意多因子协同作用。Based on NPP data from 2000 to 2020 and the vegetation net ecosystem productivity(NEP) calculated by the soil respiration model, the spatial-temporal adaptation and driving factors of vegetation NEP in Qinghai Province were quantitatively analyzed via trend analysis, 6 partial correlation analysis, and geographical detector to explore the spatiotemporal adaptation of vegetation carbon sequestration and its driving factors. The results showed that the vegetation NEP fluctuated over the past 20 years, with an average annual increase of 1.54 g C·m^(-2)·a^(-1). The spatial variation of annual vegetation NEP varied greatly, decreasing from southeast to northwest, and71.08% of the area either remained unchanged or increased. Normalized difference vegetation index(NDVI) has the strongest explanatory power for vegetation NEP, and climate and human factors, such as precipitation,temperature, and population density are stronger factors for the spatial differentiation of NEP. Because the twofactor interaction will increase the strength of the argument for vegetation NEP spatial differentiation, it is necessary to pay attention to multi-factor cooperation in the future to enhance the sequestration capacity of carbon in Qinghai Province.
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