[2002-2020 年中国湖南省植被时空动态特征及驱动因素]。

Q3 Environmental Science 应用生态学报 Pub Date : 2024-05-01 DOI:10.13287/j.1001-9332.202405.023
Ruo-Ru Wang, Xiao-Ma Li, De-Xin Gan, Huan-Yao Liu, Le Tang, Zheng-Wu Cai
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引用次数: 0

摘要

了解气候变化和人类活动对植被变化的影响是进行有效生态系统管理的基础。基于 2002-2020 年 250 m MODIS-NDVI 数据,我们采用 Theil-Sen 中值趋势分析和 Mann-Kendall 检验对湖南省植被变化进行了定量分析。结合气象、夜间光照指数、土地植被等数据,通过残差分析和相关分析,从像素级和县级两个层面研究了人类活动和气候变化对植被动态的影响。结果表明,2002-2020 年湖南省归一化差异植被指数(NDVI)呈现出 "整体改善、局部退化 "的空间格局。约 64.9% 的研究区域植被明显改善,主要发生在湖南省西部和中南部地区。1.4% 的研究区域植被明显退化,主要发生在新开发的城市地区和洞庭湖平原的农田。人类活动和气候变化共同促进了 67.9% 的研究区域的植被改善。人类活动和气候分别导致了 96% 和 4% 的 NDVI 变化。在县级层面,人类活动对各区县 NDVI 变化的贡献率超过 80%。人类活动对植被变化的影响具有显著的空间异质性。城市扩张导致新开发地区植被退化,而老开发城市地区出现植被增长。生态恢复项目促进了湖南省西部地区的植被恢复。这项研究有助于我们更好地了解植被的时空变化及其对气候变化和人类活动的响应,为制定有效的生态恢复政策提供科学依据。
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[Characteristics and drivers of vegetation temporal dynamics in Hunan Province of China during 2002-2020].

Understanding the influences of climate change and human activities on vegetation change is the foundation for effective ecosystem management. Based on the 250 m MODIS-NDVI data from 2002 to 2020, we employed Theil-Sen Median trend analysis and the Mann-Kendall test to quantify vegetation change in Hunan Province. By combining with meteorological, nighttime light index, land cover and other data, residual analysis and correlation analysis, we examined the impacts of human activities and climate change on vegetation dynamics at both the pixel level and the county level. The results showed that the normalized difference vegetation index (NDVI) in Hunan Province exhibited a spatial pattern of "overall improvement with localized degradation" during 2002-2020. Approximately 64.9% of the study area experienced significant vegetation improvement, mainly occurring in the western and central-southern parts of Hunan Province. 1.4% of the study area experienced significant vegetation degradation, mostly in the newly developed urban areas and the farmland in the Dongting Lake Plain. Human activities and climate change jointly promoted vegetation improvement in 67.9% of the study area. Human activities and climate contributed to 96% and 4% of the NDVI change, respectively. At the county level, human activities contributed to over 80% of the NDVI change in each district or county. The impacts of human activities on vegetation change exhibited significant spatial heterogeneity. Urban expansion led to vegetation degradation in the newly developed areas, while vegetation growth appeared in the old developed urban areas. The ecological restoration projects promoted vegetation restoration in the western part of Hunan Province. This study could help us better understand the spatiotemporal variations of vegetation and their responses to climate change and human activities, which would offer scientific basis for effective ecological restoration policy.

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来源期刊
应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
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11393
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