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生态学杂志 ›› 2024, Vol. 43 ›› Issue (8): 2373-2381.doi: 10.13292/j.1000-4890.202408.023

• 研究报告 • 上一篇    下一篇

2010—2021年金沙江干热河谷植被覆盖度时空变化及其影响因素

赵冬林*,朱仕荣   

  1. (国家林业和草原局西南调查规划院, 昆明 650031)
  • 出版日期:2024-08-10 发布日期:2024-08-14

Spatiotemporal variation of vegetation coverage and its influencing factors in the dryhot valley of Jinsha River during 2010-2021.

ZHAO Donglin*, ZHU Shirong   

  1. (Southwest Research and Planning Institute of National Forestry and Grassland Administration, Kunming 650031, China).

  • Online:2024-08-10 Published:2024-08-14

摘要: 受地形、气候及人为干扰的影响,金沙江干热河谷生态系统退化严重,是典型的生态脆弱区。基于MODIS-NDVI数据,运用趋势分析、残差法和偏相关分析等方法,探讨2010—2021年金沙江干热河谷植被覆盖度时空变化特征及未来变化趋势,并对影响其变化的气候、人为和海拔因子进行解析。结果表明:2010—2021年研究区植被覆盖度整体呈波动上升趋势,增长速率为0.0093 a-1,植被覆盖度增加面积大于减少面积;植被覆盖度变化类型以低波动为主,未来变化趋势以上升为主;气温、降水因子与植被覆盖度呈弱正相关性,弱正相关性面积占比分别为60.23%、60.26%,通过显著性检验的区域占比为3.47%、5.08%;人类活动对植被覆盖度的影响以改善为主;金沙江干热河谷植被覆盖度变化受海拔影响明显:低、中低植被覆盖度占比随海拔上升呈现出先增加后减少再次增加的趋势,高植被覆盖度则与之相反。


关键词: 植被覆盖度, 干热河谷, 趋势分析, 驱动力

Abstract: Due to the influence of topography, climate and human disturbance, the dry-hot valley ecosystem of Jinsha River is severely degraded, being a typical ecologically fragile area. With the MODIS-NDVI data during 2010-2021, we investigated the spatiotemporal variations and future trends of vegetation coverage in the dry-hot valley of the Jinsha River, as well as its relationship with climate change, human activities, and altitude factors, using trend analysis, residual analysis, and partial correlation analysis. The results showed that vegetation coverage in the study area had generally increased with a rate of 0.0093 a-1 over the last 12 years. The area with an increasing trend in vegetation coverage was larger than that with a decreasing trend. The change types of vegetation coverage were mainly low fluctuation, and future changes in vegetation coverage will be dominated by an upward trend. Vegetation coverage was weakly positively correlated with temperature and precipitation in 60.23% and 60.26% of the region, respectively, but only 3.47% and 5.08% passing the significance test. Human activities generally had positive effects on vegetation coverage. Altitude influenced vegetation coverage in the Jinsha River dry-hot valley. The proportion of low and medium-low vegetation coverage showed an increase-decrease-increase trend with increasing altitude, while the proportion of high vegetation coverage was the opposite.


Key words: vegetation coverage, dry-hot valley, trend analysis, driving force