1990-2020年攀枝花市植被覆盖度时空变化及其驱动因素

李见会; 何淑勤; 易海燕; 郑子成

doi:10.13870/j.cnki.stbcxb.2025.01.029

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1990-2020年攀枝花市植被覆盖度时空变化及其驱动因素

更新时间：2025-03-14

- 1990-2020年攀枝花市植被覆盖度时空变化及其驱动因素
- Study on the Spatial and Temporal Changes of the Vegetation Cover and the Driving Factors in Panzhihua City from 1990 to 2020
- 水土保持学报 2025年39卷第1期页码：368-376
- 作者机构：
  
  1. 四川农业大学林学院,成都,611130
  2. 长江上游森林资源保育与生态安全国家林业和草原局重点实验室, 长江上游林业生态工程四川省重点实验室,成都,611130
  3. 水土保持与荒漠化防治重点实验室,成都,611130
  4. 四川农业大学资源学院,成都,611130
- 作者简介：
  
  [ "李见会(2000—), 女, 硕士研究生, 主要从事植被覆盖变化及生态效应研究。E-mail: 1946109447@qq.com" ]
- 基金信息：
  
  国家重点研发项目(2022YFF1302903)
- DOI：10.13870/j.cnki.stbcxb.2025.01.029
  中图分类号： S812
- 纸质出版：2025
- 稿件说明：
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李见会, 何淑勤, 易海燕, 等. 1990-2020年攀枝花市植被覆盖度时空变化及其驱动因素[J]. 水土保持学报, 2025,39(1):368-376.

LI Jianhui, HE Shuqin, YI Haiyan, et al. Study on the Spatial and Temporal Changes of the Vegetation Cover and the Driving Factors in Panzhihua City from 1990 to 2020[J]. 2025, 39(1): 368-376.
李见会, 何淑勤, 易海燕, 等. 1990-2020年攀枝花市植被覆盖度时空变化及其驱动因素[J]. 水土保持学报, 2025,39(1):368-376. DOI： 10.13870/j.cnki.stbcxb.2025.01.029.

LI Jianhui, HE Shuqin, YI Haiyan, et al. Study on the Spatial and Temporal Changes of the Vegetation Cover and the Driving Factors in Panzhihua City from 1990 to 2020[J]. 2025, 39(1): 368-376. DOI： 10.13870/j.cnki.stbcxb.2025.01.029.

摘要

目的探究攀枝花市植被覆盖度时空变化特征及驱动因素，为攀枝花市制定区域生态环境保护方案、维护区域生态平衡提供理论依据。方法基于Landsat-EVI数据，结合自然和社会经济数据，借助像元二分模型、Theil-Sen Median趋势、偏相关和最优参数地理探测器模型等方法，分析攀枝花市1990—2020年植被覆盖度特征，明晰其驱动因素。结果攀枝花市植被覆盖度(FVC)呈“南低北高”的空间分布特征，以高等级植被覆盖为主。1990—2020年，FVC为0.635~0.792，退化区面积占比为17.70%，改善区面积占比为44.97%。FVC与降水、气温呈正相关，区域面积占比分别为61.87%、57.40%。土地利用类型、高程、气温是FVC空间分异的主要影响因素，影响力在0.20以上；因子间的交互作用大多表现为增强，其中，坡向和气温耦合后，影响力可提升到43.00%；各驱动因子对研究区植被生长的影响均有其适宜的范围。结论1990—2020年，FVC整体呈上升趋势，但部分区域植被退化明显，未来区域植被建设需要在优化土地利用格局时注重地形分布规律及气候变化，以应对环境演变下植被生态系统可持续发展面临的挑战。

Abstract

ObjectiveTo investigate the spatial and temporal variations and the driving factors of the vegetation cover in Panzhihua City

and to provide a theoretical basis for Panzhihua City to formulate regional ecological environmental protection programs and maintain regional ecological balance.MethodsBased on Landsat-EVI data

in combination with natural and socio-economic data

the characteristics and driving factors of the vegetation cover in Panzhihua City during the period of 1990—2020 were analyzed with the help of dimidiate pixel model

Theil-Sen Median trend test

partial correlation and optimal parameter geographic detector model.ResultsThe spatial distribution of the vegetation cover (FVC) in Panzhihua City was characterized by 'low in the south and high in the north'

with high-grade vegetation cover dominating. The FVC ranged from 0.635—0.792

with the area of degraded area accounting for 17.70% and the area of improved area accounting for 44.97% from 1990 to 2020. The area proportion of areas where FVC was positively correlated with precipitation and air temperature was 61.87% and 57.40%

respectively. Land use type

elevation

and air temperature were the main influencing factors of the spatial differentiation of FVC

with the influence being above 0.20; most of the interactions among the factors were shown to be enhanced

among which

the influence can be increased to 43.00% after the coupling of slope direction and air temperature; the influences of the driving factors on the growth of vegetation in the study area had their appropriate ranges.ConclusionsFrom 1990 to 2020 FVC showed an overall upward trend

but the vegetation degradation was obvious in some areas. In the future

regional vegetation construction should be focused on the terrain distribution pattern and climate change when optimizing the land-use pattern

in order to cope with the challenges of sustainable development of vegetation ecosystems under environmental evolution.

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