Spatial and Temporal Changes in Vegetation Cover and Its Driving Factors in Hengduan Mountains

Tao Min; Luo Yuanting; Luo Man; Yang Cunjian

doi:10.13961/j.cnki.stbctb.2024.05.020

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Spatial and Temporal Changes in Vegetation Cover and Its Driving Factors in Hengduan Mountains

- Spatial and Temporal Changes in Vegetation Cover and Its Driving Factors in Hengduan Mountains
- Bulletin of Soiland Water Conservation Vol. 44, Issue 5, Pages: 183-192(2024)
- 作者机构：
  
  1. 四川师范大学西南土地资源评价与监测教育部重点实验室,四川,成都,610068
  2. 四川师范大学地理与资源科学学院,四川,成都,610068
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.05.020
  CLC： Q948
- Published：2024
- 稿件说明：
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Tao Min, Luo Yuanting, Luo Man, et al. Spatial and Temporal Changes in Vegetation Cover and Its Driving Factors in Hengduan Mountains[J]. Bulletin of Soiland Water Conservation, 2024, 44(5): 183-192.
DOI：

Tao Min, Luo Yuanting, Luo Man, et al. Spatial and Temporal Changes in Vegetation Cover and Its Driving Factors in Hengduan Mountains[J]. Bulletin of Soiland Water Conservation, 2024, 44(5): 183-192. DOI： 10.13961/j.cnki.stbctb.2024.05.020.

摘要

[目的] 探讨横断山区植被覆盖的时空变化特征和影响因子，为掌握横断山区植被覆盖时空变化特征提供科学依据。[方法] 采用Theil-Sen趋势分析法和Mann-Kendall检验法，分析2002—2022年横断山区NDVI的月际和年际变化以及空间上的整体变化情况；运用偏相关分析方法，研究温度和降水对植被覆盖度的影响；最后结合土地覆盖数据，探讨人类活动对植被覆盖的影响。[结果] ①横断山区21 a间NDVI呈波动中上升趋势，3月最低，9月最高； ②空间上植被覆盖增加的区域占83.78%，主要分布在东南、西南和北部区域；减少的区域占15.87%，主要分布在中部、南部、西北部和东北部，整个研究区呈现出较好的植被增加趋势； ③温度和降水与NDVI在月尺度上均为正相关，而在年尺度上，温度与NDVI呈正相关关系，降水与NDVI呈弱负相关关系，且温度与NDVI的相关性强于降水。④21 a间农用地面积大幅度减少，林地面积增加幅度很大，草地面积小幅度减少，城市和建筑用地、水域面积变化不大。横断山区21年间NDVI增加重要原因为林地面积的大幅增长。[结论] 横断山区植被覆盖在时间和空间上都存在着较大的差异，温度和降水都是影响植被覆盖的因素，土地利用也是植被覆盖变化的推动力。

Abstract

[Objective] The spatial and temporal properties of vegetation cover in the Hengduan Mountains and the variables that influence them was investigated in order to provide the scientific basis to understand this topic. [Methods] The Theil-Sen trend analysis and Mann-Kendall test were used to analyse the inter-monthly and inter-annual variability of the normalized difference vegetation index (NDVI) in the Hengduan mountains from 2002 to 2022

as well as spatially overall. Using partial correlation analysis

the effects of temperature and precipitation on vegetation cover were examined. Finally

the impact of human activities on vegetation cover was explored combining with land cover data. [Results] ① The NDVI in the Hengduan mountains area showed an increasing fluctuating trend over 21 years

at its lowest in March and highest in September. ② The spatial vegetation cover increased by 83.78%

primarily in the southeastern

southwestern

and northern regions

and decreased by 15.87%

primarily in the central

southern

northwestern

and northeastern regions

with a good trend of increasing vegetation cover throughout the study area. ③ The NDVI showed a strong positive correlation with both temperature and precipitation on the monthly scale

while on the annual scale

it showed a weak negative correlation with precipitation and a positive correlation with temperature. ④ During the 21-year period

there was a significant decrease in the area of agricultural land

a large increase in the area of forestland

a slight decrease in the area of grassland

and little change in the areas of urban and built-up land and water. One of the reasons for the increase in the NDVI throughout the 21-year period in the Hengduan Mountains region is the large increase in forested land area. [Conclusion] There were significant temporal and spatial variations in vegetation cover in the Hengduan Mountains. Temperature and precipitation influenced both vegetation cover and land use as driving factors of vegetation cover change.

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