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文章摘要
区域生态环境与植被碳汇协同效应及其土地利用影响分析
Analysis of Synergy Effect between Regional Eco environment and Vegetation Carbon Sink and Their Land Use Impacts
  
DOI:
中文关键词: 生态环境  植被碳汇  协同关系  土地利用  遥感生态指数  湖南省
英文关键词: Ecological environment  Vegetation carbon sink  Synergistic relationship  Land use  Remote sensing ecological index  Hunan
基金项目:国家自然科学基金资助项目(42071378);湖南省自然科学杰出青年基金资助项目(2024JJ2071);湖南省自然科学部门联合基金资助项目(2024JJ8333);自然资源部城市国土资源监测与仿真重点实验室开放课题基金资助项目(KF-2022-07-021)
作者单位
汤莹莹 中南大学地球科学与信息物理学院 
冯徽徽 中南大学地球科学与信息物理学院 
胡晓清 中南大学地球科学与信息物理学院 
王姝 中南大学地球科学与信息物理学院 
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中文摘要:
      以湖南省为例,基于2001—2022年长时序遥感数据,研究区域生态环境与植被碳汇的协同效应。结果表明:过去20年湖南省生态环境总体改善,年均遥感生态指数(RSEI)呈波动变化,改善区域集中于东部;植被碳汇持续增加,植被净初级生产力(NPP)从60875 g/(m2·a)增长至64777 g/(m2·a),增长区域主要分布在西部;生态环境与植被碳汇协同效应显著,RSEI与NPP正相关区域占全省面积的6621%,草地协同效应最强,耕地与林地次之,灌木较弱;土地利用变化影响显著,“耕地→林地”协同关系较明显,协同区域面积占比为8047%,其次为“林地→耕地”,协同区域面积占比为7432%,耕地和林地未变区域的协同关系较弱。
英文摘要:
      Taking Hunan Province as an example, this paper studied the synergy effect between regional ecological environment and vegetation carbon sink based on long term remote sensing data from 2001 to 2022. The results showed that the ecological environment in Hunan was improved generally over the past 20 years, the annual average remote sensing ecological index(RSEI) showed a fluctuating change, and the improved areas were concentrated in the eastern part. The vegetation carbon sink continued to increase, the net primary production(NPP) of vegetation increased from 60875 g/(m2·a) to 64777 g/(m2·a), and the increase was mainly distributed in the west. The synergy effect between ecological environment and vegetation carbon sink was significant. Areas with a positive correlation between RSEI and NPP accounted for 6621% of the provinces total area. The synergy effect was the strongest in grassland, less in cropland and forestland, and weakest in shrubland. The impact of land use change was significant. The conversion of “ cropland → forestland ” had the most significant synergistic relationship, with synergistic areas accounting for 8047%, followed by the “ forestland → cropland ” conversion at 7432%, while areas with no change between cropland and forestland showed the weakest synergy.
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