Terrain or climate factor dominates vegetation resilience? Evidence from three national parks across different climatic zones in China

IF 3.8 1区 农林科学 Q1 FORESTRY Forest Ecosystems Pub Date : 2024-01-01 DOI:10.1016/j.fecs.2024.100212
Shuang Liu , Lingxin Wu , Shiyong Zhen , Qinxian Lin , Xisheng Hu , Jian Li
{"title":"Terrain or climate factor dominates vegetation resilience? Evidence from three national parks across different climatic zones in China","authors":"Shuang Liu ,&nbsp;Lingxin Wu ,&nbsp;Shiyong Zhen ,&nbsp;Qinxian Lin ,&nbsp;Xisheng Hu ,&nbsp;Jian Li","doi":"10.1016/j.fecs.2024.100212","DOIUrl":null,"url":null,"abstract":"<div><p>Vegetation resilience (VR), providing an objective measure of ecosystem health, has received considerable attention, however, there is still limited understanding of whether the dominant factors differ across different climate zones. We took the three national parks (Hainan Tropical Rainforest National Park, HTR; Wuyishan National Park, WYS; and Northeast Tiger and Leopard National Park, NTL) of China with less human interference as cases, which are distributed in different climatic zones, including tropical, subtropical and temperate monsoon climates, respectively. Then, we employed the probabilistic decay method to explore the spatio-temporal changes in the VR and their natural driving patterns using Geographically Weighted Regression (GWR) model as well. The results revealed that: (1) from 2000 to 2020, the Normalized Difference Vegetation Index (NDVI) of the three national parks fluctuated between 0.800 and 0.960, exhibiting an overall upward trend, with the mean NDVI of NTL (0.923) ​&gt; ​HTR (0.899) ​&gt; ​WYS (0.823); (2) the positive trend decay time of vegetation exceeded that of negative trend, indicating vegetation gradual recovery of the three national parks since 2012; (3) the VR of HTR was primarily influenced by elevation, aspect, average ​annual temperature change (AATC), and average annual precipitation change (AAPC); the WYS’ VR was mainly affected by elevation, average ​annual precipitation (AAP), and AAPC; while the terrain factors (elevation and slope) were the main driving factors of VR in NTL; (4) among the main factors influencing the VR changes, the AAPC had the highest proportion in HTR (66.7%), and the AAP occupied the largest area proportion in WYS (80.4%). While in NTL, elevation served as the main driving factor for the VR, encompassing 64.2% of its area. Consequently, our findings indicated that precipitation factors were the main driving force for the VR changes in HTR and WYS national parks, while elevation was the main factors that drove the VR in NTL. Our research has promoted a deeper understanding of the driving mechanism behind the VR.</p></div>","PeriodicalId":54270,"journal":{"name":"Forest Ecosystems","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2197562024000484/pdfft?md5=e442f83ba23a7848f1262720ae3f4aff&pid=1-s2.0-S2197562024000484-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Ecosystems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2197562024000484","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0

Abstract

Vegetation resilience (VR), providing an objective measure of ecosystem health, has received considerable attention, however, there is still limited understanding of whether the dominant factors differ across different climate zones. We took the three national parks (Hainan Tropical Rainforest National Park, HTR; Wuyishan National Park, WYS; and Northeast Tiger and Leopard National Park, NTL) of China with less human interference as cases, which are distributed in different climatic zones, including tropical, subtropical and temperate monsoon climates, respectively. Then, we employed the probabilistic decay method to explore the spatio-temporal changes in the VR and their natural driving patterns using Geographically Weighted Regression (GWR) model as well. The results revealed that: (1) from 2000 to 2020, the Normalized Difference Vegetation Index (NDVI) of the three national parks fluctuated between 0.800 and 0.960, exhibiting an overall upward trend, with the mean NDVI of NTL (0.923) ​> ​HTR (0.899) ​> ​WYS (0.823); (2) the positive trend decay time of vegetation exceeded that of negative trend, indicating vegetation gradual recovery of the three national parks since 2012; (3) the VR of HTR was primarily influenced by elevation, aspect, average ​annual temperature change (AATC), and average annual precipitation change (AAPC); the WYS’ VR was mainly affected by elevation, average ​annual precipitation (AAP), and AAPC; while the terrain factors (elevation and slope) were the main driving factors of VR in NTL; (4) among the main factors influencing the VR changes, the AAPC had the highest proportion in HTR (66.7%), and the AAP occupied the largest area proportion in WYS (80.4%). While in NTL, elevation served as the main driving factor for the VR, encompassing 64.2% of its area. Consequently, our findings indicated that precipitation factors were the main driving force for the VR changes in HTR and WYS national parks, while elevation was the main factors that drove the VR in NTL. Our research has promoted a deeper understanding of the driving mechanism behind the VR.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
是地形还是气候因素主导植被恢复力?来自中国三个不同气候带国家公园的证据
植被恢复力(VR)是衡量生态系统健康状况的一个客观指标,已受到广泛关注,但人们对不同气候区的主导因素是否存在差异的了解仍然有限。我们以中国人为干扰较少的三个国家公园(海南热带雨林国家公园、武夷山国家公园和东北虎豹国家公园)为案例,它们分别分布在不同的气候带,包括热带、亚热带和温带季风气候。然后,我们采用概率衰减法,利用地理加权回归(GWR)模型探讨了VR的时空变化及其自然驱动模式。结果显示(1) 2000~2020 年,三个国家公园的归一化植被指数(NDVI)在 0.800~0.960 之间波动,总体呈上升趋势,NTL(0.923)> HTR(0.899)> WYS(0.823);(2)植被正向趋势衰减时间超过负向趋势衰减时间,表明三个国家公园自 2012 年以来植被逐渐恢复;(3)HTR 的 VR 主要受海拔、高差、年平均气温变化(AATC)和年平均降水量变化(AAPC)的影响,而 WYS 的 VR 主要受海拔、高差、年平均气温变化(AATC)和年平均降水量变化(AAPC)的影响;(4) 在影响 VR 变化的主要因素中,AAPC 在 HTR 中所占比例最高(66.7%),AAP 在 WYS 中所占面积比例最大(80.4%)。而在 NTL,海拔高度是 VR 的主要驱动因素,占其面积的 64.2%。因此,我们的研究结果表明,降水因素是港珠澳大桥和怀俄明州国家公园VR变化的主要驱动力,而海拔高度则是驱动北大港国家公园VR变化的主要因素。我们的研究促进了对 VR 背后驱动机制的深入了解。
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 去求助
来源期刊
Forest Ecosystems
Forest Ecosystems Environmental Science-Nature and Landscape Conservation
CiteScore
7.10
自引率
4.90%
发文量
1115
审稿时长
22 days
期刊介绍: Forest Ecosystems is an open access, peer-reviewed journal publishing scientific communications from any discipline that can provide interesting contributions about the structure and dynamics of "natural" and "domesticated" forest ecosystems, and their services to people. The journal welcomes innovative science as well as application oriented work that will enhance understanding of woody plant communities. Very specific studies are welcome if they are part of a thematic series that provides some holistic perspective that is of general interest.
期刊最新文献
Independent and interactive effects of N and P additions on foliar P fractions in evergreen forests of southern China Meta-analysis of 21st century studies shows that deforestation induces profound changes in soil characteristics, particularly soil organic carbon accumulation Unveiling urbanization effects on trees outside forests along the urban-rural gradient in megacity Bengaluru Quercus acutissima exhibits more adaptable water uptake patterns in response to seasonal changes compared to Pinus massoniana Effects of bamboo invasion on forest structures and diameter–height allometries
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1