Spatio-temporal mapping and climate change impact on current and future expansion of P. roxburghii in the Himalayan Biodiversity Hotspot

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2025-02-20 DOI:10.1007/s10661-025-13756-6
Mohammed Asif Chowdhary, Vikas Sharma, Hari Shankar Gadri, Sarbani Roy, Pankaj Bhardwaj
{"title":"Spatio-temporal mapping and climate change impact on current and future expansion of P. roxburghii in the Himalayan Biodiversity Hotspot","authors":"Mohammed Asif Chowdhary,&nbsp;Vikas Sharma,&nbsp;Hari Shankar Gadri,&nbsp;Sarbani Roy,&nbsp;Pankaj Bhardwaj","doi":"10.1007/s10661-025-13756-6","DOIUrl":null,"url":null,"abstract":"<div><p>The global proliferation of <i>Pinus</i> species poses significant threats to biodiversity, ecosystem functioning, and environmental stability. <i>Pinus roxburghii</i>, in particular, has demonstrated a strong potential to encroach upon the indigenous biodiversity of the Himalayan Biodiversity Hotspot (HBH), an area already vulnerable to the impacts of climate change. This study utilized the MaxEnt model, chosen for its robust performance in species distribution modelling, to predict the geographical distribution and actual extent of <i>P. roxburghii</i> for the period 2001–2021 and project its future expansion under two shared socioeconomic pathways (SSP-126 and SSP-585) for 2050 and 2070. The model high predictive accuracy (AUC &gt; 0.9) and metrics (κ and TSS &gt; 0.7) demonstrate its reliability and strong performance. The results reveal a notable expansion of <i>P. roxburghii</i> across the HBH, with a 1.61% spatio-temporal increase (11,142.16 km<sup>2</sup>) and a 0.65% rise in habitat suitability (4478.47 km<sup>2</sup>) under future scenarios. Key bioclimatic variables influencing its distribution include BIO6 (minimum temperature of the coldest month) and BIO17 (precipitation of the driest quarter), contributing 69.54% and 85.28% to the model under current and future scenarios, respectively. These findings highlight the urgent need for targeted adaptive management strategies, such as early detection systems and habitat restoration initiatives, to mitigate the encroachment of <i>P. roxburghii</i> and safeguard native biodiversity.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 3","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-13756-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Monitoring and Assessment","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s10661-025-13756-6","RegionNum":4,"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 global proliferation of Pinus species poses significant threats to biodiversity, ecosystem functioning, and environmental stability. Pinus roxburghii, in particular, has demonstrated a strong potential to encroach upon the indigenous biodiversity of the Himalayan Biodiversity Hotspot (HBH), an area already vulnerable to the impacts of climate change. This study utilized the MaxEnt model, chosen for its robust performance in species distribution modelling, to predict the geographical distribution and actual extent of P. roxburghii for the period 2001–2021 and project its future expansion under two shared socioeconomic pathways (SSP-126 and SSP-585) for 2050 and 2070. The model high predictive accuracy (AUC > 0.9) and metrics (κ and TSS > 0.7) demonstrate its reliability and strong performance. The results reveal a notable expansion of P. roxburghii across the HBH, with a 1.61% spatio-temporal increase (11,142.16 km2) and a 0.65% rise in habitat suitability (4478.47 km2) under future scenarios. Key bioclimatic variables influencing its distribution include BIO6 (minimum temperature of the coldest month) and BIO17 (precipitation of the driest quarter), contributing 69.54% and 85.28% to the model under current and future scenarios, respectively. These findings highlight the urgent need for targeted adaptive management strategies, such as early detection systems and habitat restoration initiatives, to mitigate the encroachment of P. roxburghii and safeguard native biodiversity.

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
求助全文
约1分钟内获得全文 去求助
来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
期刊最新文献
Assessment of Brick Kilns’ contribution to the air pollution of Lahore using air quality dispersion modeling Designing a monitoring plan for microbial water quality and waterborne antimicrobial resistance in the Akaki catchment, Ethiopia Spatio-temporal mapping and climate change impact on current and future expansion of P. roxburghii in the Himalayan Biodiversity Hotspot Hydrogeochemical analysis of the groundwater composition and risk to human health of an abandoned mine area, southwest China Assessment of the impact of the three different methods of crushing olives on the microbiological and physicochemical properties of wastewater in olive mills
×
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