Impact of climate and human activity on NDVI of various vegetation types in the Three-River Source Region, China

IF 2.7 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Qing Lu, Haili Kang, Fuqing Zhang, Yuanping Xia, Bing Yan
{"title":"Impact of climate and human activity on NDVI of various vegetation types in the Three-River Source Region, China","authors":"Qing Lu, Haili Kang, Fuqing Zhang, Yuanping Xia, Bing Yan","doi":"10.1007/s40333-024-0104-1","DOIUrl":null,"url":null,"abstract":"<p>The Three-River Source Region (TRSR) in China holds a vital position and exhibits an irreplaceable strategic importance in ecological preservation at the national level. On the basis of an in-depth study of the vegetation evolution in the TRSR from 2000 to 2022, we conducted a detailed analysis of the feedback mechanism of vegetation growth to climate change and human activity for different vegetation types. During the growing season, the spatiotemporal variations of normalized difference vegetation index (NDVI) for different vegetation types in the TRSR were analyzed using the Moderate Resolution Imaging Spectroradiometer (MODIS)-NDVI data and meteorological data from 2000 to 2022. In addition, the response characteristics of vegetation to temperature, precipitation, and human activity were assessed using trend analysis, partial correlation analysis, and residual analysis. Results indicated that, after in-depth research, from 2000 to 2022, the TRSR’s average NDVI during the growing season was 0.3482. The preliminary ranking of the average NDVI for different vegetation types was as follows: shrubland (0.5762)&gt;forest (0.5443)&gt;meadow (0.4219)&gt;highland vegetation (0.2223)&gt;steppe (0.2159). The NDVI during the growing season exhibited a fluctuating growth trend, with an average growth rate of 0.0018/10a (<i>P</i>&lt;0.01). Notably, forests displayed a significant development trend throughout the growing season, possessing the fastest rate of change in NDVI (0.0028/10a). Moreover, the upward trends in NDVI for forests and steppes exhibited extensive spatial distributions, with significant increases accounting for 95.23% and 93.80%, respectively. The sensitivity to precipitation was significantly enhanced in other vegetation types other than highland vegetation. By contrast, steppes, meadows, and highland vegetation demonstrated relatively high vulnerability to temperature fluctuations. A further detailed analysis revealed that climate change had a significant positive impact on the TRSR from 2000 to 2022, particularly in its northwestern areas, accounting for 85.05% of the total area. Meanwhile, human activity played a notable positive role in the southwestern and southeastern areas of the TRSR, covering 62.65% of the total area. Therefore, climate change had a significantly higher impact on NDVI during the growing season in the TRSR than human activity.</p>","PeriodicalId":49169,"journal":{"name":"Journal of Arid Land","volume":"15 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Arid Land","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s40333-024-0104-1","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The Three-River Source Region (TRSR) in China holds a vital position and exhibits an irreplaceable strategic importance in ecological preservation at the national level. On the basis of an in-depth study of the vegetation evolution in the TRSR from 2000 to 2022, we conducted a detailed analysis of the feedback mechanism of vegetation growth to climate change and human activity for different vegetation types. During the growing season, the spatiotemporal variations of normalized difference vegetation index (NDVI) for different vegetation types in the TRSR were analyzed using the Moderate Resolution Imaging Spectroradiometer (MODIS)-NDVI data and meteorological data from 2000 to 2022. In addition, the response characteristics of vegetation to temperature, precipitation, and human activity were assessed using trend analysis, partial correlation analysis, and residual analysis. Results indicated that, after in-depth research, from 2000 to 2022, the TRSR’s average NDVI during the growing season was 0.3482. The preliminary ranking of the average NDVI for different vegetation types was as follows: shrubland (0.5762)>forest (0.5443)>meadow (0.4219)>highland vegetation (0.2223)>steppe (0.2159). The NDVI during the growing season exhibited a fluctuating growth trend, with an average growth rate of 0.0018/10a (P<0.01). Notably, forests displayed a significant development trend throughout the growing season, possessing the fastest rate of change in NDVI (0.0028/10a). Moreover, the upward trends in NDVI for forests and steppes exhibited extensive spatial distributions, with significant increases accounting for 95.23% and 93.80%, respectively. The sensitivity to precipitation was significantly enhanced in other vegetation types other than highland vegetation. By contrast, steppes, meadows, and highland vegetation demonstrated relatively high vulnerability to temperature fluctuations. A further detailed analysis revealed that climate change had a significant positive impact on the TRSR from 2000 to 2022, particularly in its northwestern areas, accounting for 85.05% of the total area. Meanwhile, human activity played a notable positive role in the southwestern and southeastern areas of the TRSR, covering 62.65% of the total area. Therefore, climate change had a significantly higher impact on NDVI during the growing season in the TRSR than human activity.

气候和人类活动对中国三江源地区不同植被类型 NDVI 的影响
中国三江源地区在国家生态保护中具有不可替代的重要战略地位。在深入研究三江源地区2000-2022年植被演变规律的基础上,详细分析了不同植被类型的植被生长对气候变化和人类活动的反馈机制。利用中分辨率成像光谱仪(MODIS)-归一化差异植被指数(NDVI)数据和2000-2022年气象数据,分析了TRSR不同类型植被在生长季节的时空变化。此外,还利用趋势分析、偏相关分析和残差分析评估了植被对温度、降水和人类活动的响应特征。结果表明,经过深入研究,从 2000 年到 2022 年,TRSR 生长季的平均 NDVI 为 0.3482。不同植被类型的平均 NDVI 初步排序如下:灌木林(0.5762)>森林(0.5443)>草甸(0.4219)>高原植被(0.2223)>草原(0.2159)。生长季的 NDVI 呈波动增长趋势,平均增长率为 0.0018/10a(P<0.01)。值得注意的是,森林在整个生长季呈现出明显的发展态势,NDVI 的变化率最快(0.0028/10a)。此外,森林和草原的 NDVI 上升趋势呈现广泛的空间分布,显著上升的比例分别为 95.23% 和 93.80%。除高原植被外,其他植被类型对降水的敏感性明显增强。相比之下,草原、草甸和高原植被对温度波动的脆弱性相对较高。进一步的详细分析显示,从 2000 年到 2022 年,气候变化对 TRSR 产生了显著的积极影响,尤其是在其西北部地区,占总面积的 85.05%。与此同时,人类活动在 TRSR 西南部和东南部地区发挥了显著的积极作用,占总面积的 62.65%。因此,气候变化对 TRSR 生长季 NDVI 的影响明显高于人类活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Arid Land
Journal of Arid Land ENVIRONMENTAL SCIENCES-
CiteScore
4.70
自引率
6.70%
发文量
768
审稿时长
3.2 months
期刊介绍: The Journal of Arid Land is an international peer-reviewed journal co-sponsored by Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Science Press. It aims to meet the needs of researchers, students and practitioners in sustainable development and eco-environmental management, focusing on the arid and semi-arid lands in Central Asia and the world at large. The Journal covers such topics as the dynamics of natural resources (including water, soil and land, organism and climate), the security and sustainable development of natural resources, and the environment and the ecology in arid and semi-arid lands, especially in Central Asia. Coverage also includes interactions between the atmosphere, hydrosphere, biosphere, and lithosphere, and the relationship between these natural processes and human activities. Also discussed are patterns of geography, ecology and environment; ecological improvement and environmental protection; and regional responses and feedback mechanisms to global change. The Journal of Arid Land also presents reviews, brief communications, trends and book reviews of work on these topics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信