首页|基于植被指数的生态恢复力评价及影响因素研究——以武陵山片区为例

基于植被指数的生态恢复力评价及影响因素研究——以武陵山片区为例

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选取归一化植被指数(NDVI)作为生态恢复力替代指标,从敏感性和适应性2个维度构建了生态恢复力测度模型,对2000-2020年武陵山片区生态恢复力进行了综合评价,并通过多元线性回归模型探究了武陵山片区生态恢复力的主要影响因素.结果表明:(1)2000-2020年武陵山片区生态恢复力指数平均为0.45,整体呈北高南低、西高东低的空间分布格局;(2)低、较低、中等、较高和高生态恢复力地区分别占武陵山总片区面积的0.29%、18.19%、35.82%、29.01%和16.69%;(3)生态恢复力与年平均气温、坡度、建设用地面积占比、碳排放量呈负相关,与年降水量、高程、人口密度、GDP呈正相关;其中年平均气温、人口密度和碳排放量是武陵山片区生态恢复力的主要影响因素.
Evaluation and Influencing Factors of Ecological Resilience Based on Vegetation Index:A Case Study of Wuling Mountain Area
The normalized vegetation index(NDVI)was selected as a proxy indicator of ecological resilience.An ecological resilience measurement model was constructed from two dimensions of sensitivity and adaptability to evaluate the ecological resilience of the Wuling Mountain Area from 2000 to 2020.The main influencing factors of the ecological resilience in the Wuling Mountain Area were explored through the multiple linear regression model.The results show that:(1)The average value of ecological resilience in the Wuling Mountain Area from 2000 to 2020 is 0.45,and the ecological resilience forms a spatial distribution pattern of high in the north and low in the south,high in the west and low in the east.(2)Low,lower,medium,higher and high ecological resilience areas account for 0.29%,18.19%,35.82%,29.01%and 16.69%of the region,respectively.(3)Ecological resilience is negatively correlated with mean annual temperature,slope,proportion of built-up land area and carbon emissions,and positively correlated with annual precipitation,elevation,population density and GDP.The mean annual temperature,population density and carbon emissions are the main factors affecting ecological resilience in the Wuling Mountain Area.

Ecological resilienceNormalized vegetation indexInfluencing factorWuling Mountain Area

杨蔓红、尹宁玲、左金友、杨益民、吴吉林

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吉首大学 土木工程与建筑学院,湖南 张家界 427000

生态恢复力 归一化植被指数 影响因素 武陵山片区

国家自然科学基金湖南省自然科学基金

420610362023JJ30491

2024

江西农业学报
江西省农业科学院 江西省农学会

江西农业学报

CSTPCD
影响因子:0.632
ISSN:1001-8581
年,卷(期):2024.36(3)
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