干旱区研究 ›› 2022, Vol. 39 ›› Issue (5): 1673-1683.doi: 10.13866/j.azr.2022.05.31

• 生态与环境 • 上一篇    下一篇

青海省植被NEP时空变化及驱动因素分析

冶晓娟1(),王永辉1,潘红忠1(),白钰2,董得福2,姚华明1,3   

  1. 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
  • 收稿日期:2022-01-16 修回日期:2022-06-06 出版日期:2022-09-15 发布日期:2022-10-25
  • 通讯作者: 潘红忠
  • 作者简介:冶晓娟(1990-),女,硕士研究生,主要从事水文生态响应研究. E-mail: ye273313809@gmail.com
  • 基金资助:
    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

Spatial-temporal variation and driving factors of vegetation net ecosystem productivity in Qinghai Province

YE Xiaojuan1(),WANG Yonghui1,PAN Hongzhong1(),BAI Yu2,DONG Defu2,YAO Huaming1,3   

  1. 1. Resource And Environmental Engineering College of Yangtze University, Wuhan 430000, Hubei, China
    2. Huanghe Hy-Dropower Developement Co. Ltd, Xining 810000, Qinghai, China
    3. China Yangtze Power Co. Ltd, Yichang 443000, Hubei, China
  • Received:2022-01-16 Revised:2022-06-06 Online:2022-09-15 Published:2022-10-25
  • Contact: Hongzhong PAN

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。

关键词: 青海省, 植被NEP, 时空变化, 驱动力

Abstract:

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, and 71.08% 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 two-factor 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.

Key words: Qinghai Province, vegetation NEP, spatial-temporal change, driving force