三农、土地与生态

青藏高原植被指数时空特征及其影响因素

  • 陈卫东 ,
  • 取宗 ,
  • 李晓童
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  • 1.天津大学 管理与经济学部,中国 天津 300072;
    2.湖南工商大学 经济与贸易学院,中国湖南 长沙 410205
陈卫东(1967—),男,博士,教授,博士生导师,研究方向为复杂系统建模与优化、企业战略管理、能源与资源环境政策。E-mail:chenweidong@tju.edu.cn
※ 取宗(1989—),女,博士研究生,研究方向为社会治理与生态环境治理。E-mail:yixinzhuoma@126.com

收稿日期: 2024-08-03

  修回日期: 2024-12-26

  网络出版日期: 2025-02-26

基金资助

国家社会科学基金重大项目(14ZDB135、2017GMG022); 天津市教委社会科学重大项目(2018JWZD51)

Spatiotemporal Evolution of Vegetation Index and Its Influencing Factors in the Qinghai-Xizang Plateau

  • CHEN Weidong ,
  • QU Zong ,
  • LI Xiaotong
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  • 1. Department of Management and Economics,Tianjin University,Tianjin 300072,China;
    2. School of Economics and Trade,Hunan University of Technology and Business,Changsha 410205,Hunan,China

Received date: 2024-08-03

  Revised date: 2024-12-26

  Online published: 2025-02-26

摘要

文章以2011—2023年青藏高原214个县域为研究对象,运用GIS时空分析、Dagum基尼系数、时空地理加权回归模型(GTWR)刻画了青藏高原植被指数的时空变化、空间非均衡性并探索了青藏高原植被指数的影响因素。研究发现:①在时间演变上,青藏高原植被指数在研究期内呈上升趋势,各省份植被指数均有增长。其中青藏高原属云南、四川和甘肃部分植被指数高于平均值,属青海、西藏和新疆部分植被指数低于平均值。②空间分布上,青藏高原由西向东植被指数呈梯度递减;青藏高原植被指数低—低集聚分布于青藏高原西北部,高—高集聚主要分布于青藏高原东南部;青藏高原植被指数的区域内非均衡状况稳定,且存在空间分异特征。西藏的区域内分异程度表现出扩大的趋势;区域间差异是青藏高原植被指数空间分异的主要来源,其次是区域内,超变密度空间分异的贡献率最小。③影响因素方面,气温、降水、日照时长等气象因素以及实际蒸发量和坡度对青藏高原植被指数起到促进作用,而高程、土壤根部湿度和人口密度对青藏高原植被指数产生抑制作用。

本文引用格式

陈卫东 , 取宗 , 李晓童 . 青藏高原植被指数时空特征及其影响因素[J]. 经济地理, 2025 , 45(1) : 193 -203 . DOI: 10.15957/j.cnki.jjdl.2025.01.020

Abstract

Taking 214 districts and counties in the Qinghai-Xizang Plateau from 2011 to 2023 as the research object, this article uses the methods of GIS spatio-temporal analysis, Dagum Gini coefficient, and spatio-temporal geographical weighted regression model (GTWR) to depict the spatio-temporal changes and spatial non-equilibrium of vegetation index in the Qinghai-Xizang Plateau, and explore the influencing factors of the vegetation index in the Qinghai-Xizang Plateau. It’s found that: 1) In terms of temporal evolution, the vegetation index on the Qinghai-Xizang Plateau showed an upward trend during the research period, and the vegetation indices increased in all provincial-level regions. The vegetation index in Yunnan, Sichuan, and Gansu was higher than the average, while the vegetation index in Qinghai, Xizang, and Xinjiang was lower than the average. 2) In terms of spatial distribution, the vegetation index in the Qinghai-Xizang Plateau showed a gradient decrease from the west of the Qinghai-Xizang Plateau to the east of the Qinghai-Xizang Plateau. The low-low agglomeration of the vegetation index in the Qinghai-Xizang Plateau was distributed in the northwest of the Qinghai-Xizang Plateau, and the high-high agglomeration was mainly distributed in the southeast of the Qinghai-Xizang Plateau. The intra-regional imbalance of the vegetation index in the Qinghai-Xizang Plateau was stable and had spatial differentiation characteristics. The degree of intra-regional differentiation in Xizang showed an expanding trend. Inter-regional differences were the main source of the spatial differentiation of the vegetation index in the Qinghai-Xizang Plateau, followed by intra-regional differences, and the contribution rate of the hypervariable density spatial differentiation was the smallest. 3) In terms of influencing factors, meteorological factors such as temperature, precipitation, and sunshine duration, as well as the actual evaporation amount and slope, played a promoting role in the vegetation index in the Qinghai-Xizang Plateau. However, elevation, soil root moisture, and population density had an inhibitory effect on the vegetation index in the Qinghai-Xizang Plateau.

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