文献类型：期刊文献

中文题名：拉鲁湿地近20年植被指数变化特征及其对气候变化的响应

英文题名：Characteristics of vegetation index changes in Lhalu wetland over the past 20 years and their responses to climate change

作者：杨澳[1,2,3] 颜亮[1,2,3] 张骁栋[1,2,3] 张克柔[1,2,3] 李勇[1,2,3] 康晓明[1,2,3]

第一作者：杨澳

机构：[1]中国林业科学研究院生态保护与修复研究所,北京100091;[2]湿地生态功能与恢复北京市重点实验室,北京100091;[3]四川若尔盖高寒湿地生态系统定位观测研究站,四川阿坝624500

年份：2024

卷号：43

期号：6

起止页码：1738-1746

中文期刊名：生态学杂志

外文期刊名：Chinese Journal of Ecology

收录：CSTPCD;;Scopus;北大核心:【北大核心2023】；CSCD:【CSCD2023_2024】；

基金：第二次青藏高原综合科学考察研究“湿地生态系统与水文过程变化”(2019QZKK0304-02)资助。

语种：中文

中文关键词：拉鲁湿地;植被覆盖度;植被指数;时空变化;气候变化

外文关键词：Lhalu wetland;fractional vegetation cover;vegetation index;spatiotemporal variation;climate change

分类号：Q948.112

摘要：高原城市湿地是高原城市生态系统的重要组成部分,对维护高原城市的经济发展和生态环境建设具有重要作用,但目前针对高原城市湿地植被状况及其影响因素的研究较为缺乏。植被指数是评估植被状况的关键指标之一,通过比较高原城市湿地生态系统中不同植被指数评估地表植被状况,进而探究其对气候变化的响应,可为全球变化背景下高原城市湿地的修复和保护提供重要的参考价值。本研究以青藏高原拉鲁湿地国家级自然保护区为对象,利用Landsat系列影像数据计算2000—2020年植被生长季(5—9月)的归一化植被指数(NDVI)、增强型植被指数(EVI)、比值植被指数(RVI)和植被覆盖度(FVC),通过趋势回归分析揭示过去20年拉鲁湿地3种植被指数和植被覆盖度的时空变化特征,并结合降雨量与温度数据探讨不同植被指数与二者之间的相关性。结果表明:(1)拉鲁湿地FVC整体水平较高,2000—2020年平均FVC为0.57,中部和南部FVC高于北部边缘区域,拉鲁湿地FVC增加区域的面积大于减少区域的面积,且以轻微增加(面积占比32.38%)的变化趋势为主;(2)拉鲁湿地NDVI和RVI反演结果相关性较高(R^(2)=0.92,P<0.01),且在监测拉鲁湿地FVC方面优于EVI,EVI对高植被覆盖度区域的植被生长状况变化更敏感,NDVI在反演拉鲁湿地植被覆盖中的效果最佳,适应性最高;(3)NDVI、EVI和RVI均与温度呈负相关,而与降雨量呈正相关,且温度对植被指数的影响更大。综上,拉鲁湿地国家级自然保护区2000—2020年FVC呈略微上升趋势,植被指数在空间上均表现为拉鲁湿地中部和南部数值高于北部边缘,NDVI在拉鲁湿地植被反演中的适应性优于RVI与EVI,温度对植被指数的影响大于降雨量,研究结果可为拉鲁湿地国家级自然保护区的保护与修复提供有效的科学依据和数据支撑。
Plateau urban wetlands,as an important component of plateau urban ecosystems,play a critical role in maintaining economic development and ecological environment construction in plateau cities,yet the understanding of vegetation dynamics and their influencing factors remains elusive.We employed various vegetation indices to assess vegetation conditions in plateau urban wetlands and investigated their responses to climate change.We calculated the normalized difference vegetation index(NDVI),enhanced vegetation index(EVI),ratio vegetation index(RVI),and fractional vegetation cover(FVC)for the Lhalu Wetland National Nature Reserve in Qinghai-Tibet Plateau using Landsat multi-source image data during the vegetation growing season(May to September)between 2000 and 2020.Trend regression analysis was used to uncover the spatial-temporal variations of these indices and vegetation cover over the past two decades in Lhalu wetland,and their correlations with precipitation and temperature were explored.Our results showed that:(1)The FVC levels in the Lhalu wetland were relatively high,averaging at 0.57 from 2000 to 2020.Higher FVC values were observed in the central and southern regions.While the proportion of increasing FVC areas surpassed that of decreasing areas,the dominant trend(32.38%of areas)showed a non-significant increase.(2)NDVI and RVI displayed a strong correlation(R^(2)=0.92,P<0.01),being more effective than EVI in monitoring FVC in Lhalu wetland.EVI exhibited high sensitivity to variations in vegetation growth,especially in areas characterized by dense vegetation coverage,while NDVI stood out as the most effective and adaptable index for accurately assessing and retrieving vegetation cover.(3)NDVI,EVI,and RVI indices displayed a negative correlation with temperature while showing a positive correlation with precipitation.Temperature exhibited a greater impact on vegetation indices.Our results highlight the relative stability and incremental improvement of FVC trends in Lhalu Wetland National Nature Reserve from 2000 to 2020.Spatially,vegetation indices showed higher values in the central and southern parts.Notably,NDVI was the most proficient index for vegetation assessment,surpassing RVI and EVI,with temperature showing a more pronounced influence on vegetation indices than precipitation.This research provides valuable scientific insights and empirical support for the conservation and restoration efforts in Lhalu Wetland National Nature Reserve.