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基于MODIS NDVI的广西沿海植被动态及其主要驱动因素

成方妍 刘世梁 尹艺洁 吕一河 安南南 刘昕明

生态学报2017,Vol.37Issue(3):788-797,10.
生态学报2017,Vol.37Issue(3):788-797,10.DOI:10.5846/stxb201509091866

基于MODIS NDVI的广西沿海植被动态及其主要驱动因素

The dynamics and main driving factors of coastal vegetation in Guangxi based on MODIS NDVI

成方妍 1刘世梁 1尹艺洁 1吕一河 2安南南 1刘昕明3

作者信息

  • 1. 北京师范大学环境学院,北京 100875
  • 2. 中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京100085
  • 3. 广西壮族自治区海洋研究院,南宁530022
  • 折叠

摘要

Abstract

The normalized difference vegetation index (NDVI) can be used to characterize a region's vegetation status,however,there have been few studies on the NDVI dynamics of coastal wetland areas.Using MODIS NDVI as the data source,we analyzed the vegetation dynamics,NDVI trend,and the main driving factors of NDVI in the coastal wetland areas of Guangxi from 2000 to 2014.The results showed that in the coastal wetland area with a 10-kin buffer,the mean NDVI value was relatively high (0.71).However,annual fluctuations were more stable (SD =0.02).Spatially,NDVI showed a higher trend in terrestrial land and a lower trend in coastal and estuarine areas.The NDVI values of various vegetation types were significantly different,and the highest value was recorded for woodland,which is widely distributed in the terrace (0.76),and the lowest value was found for coastal wetland (0.52) and other vegetation types (e.g.,bare land)(0.50).The vegetation trend (slope k) showed that 57% of the woodland was improving (k ≥ 0.002),and 52% of the coastal wetland was degrading (k ≤-0.002).The Hurst index of the sustainability of vegetation showed that forest land and dry land have been continuously improving,while the coastal wetland showed a trend of continuous degradation.The influence of meteorological factors on NDVI dynamics was not significant,and the NDVI was mainly affected by topographic characteristics and human activities.NDVI and its trend were negatively correlated with comprehensive topographic indexes and the distance from the river,and positively correlated with slope,altitude,and the distance from roads and valleys.Altogether,most regions showed positive development,but the coastal wetland exhibited degradation and needed to be improved.

关键词

滨海区域/时空变化/趋势分析/Hurst指数/驱动因素

Key words

coastal wetland area/temporal and spatial dynamics/trend analysis/Hurst index/driving factors

引用本文复制引用

成方妍,刘世梁,尹艺洁,吕一河,安南南,刘昕明..基于MODIS NDVI的广西沿海植被动态及其主要驱动因素[J].生态学报,2017,37(3):788-797,10.

基金项目

国家自然科学基金资助项目(41571173) (41571173)

国家科技支撑计划资助项目(2014BAK19B06) (2014BAK19B06)

广西壮族自治区海洋研究院自主课题资助项目 ()

生态学报

OA北大核心CHSSCDCSCDCSTPCD

1000-0933

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