Linking climate vulnerability and future distribution for the threatened lesser-known species, Sumatran serow: A spatial conservation perspective

IF 5.6 Q1 ENVIRONMENTAL SCIENCES
Dede Aulia Rahman , Sutopo Sutopo , Misbah Satria Giri , Rikha Aryanie Surya , Mafrikhul Muttaqin , Aryo Adhi Condro
{"title":"Linking climate vulnerability and future distribution for the threatened lesser-known species, Sumatran serow: A spatial conservation perspective","authors":"Dede Aulia Rahman ,&nbsp;Sutopo Sutopo ,&nbsp;Misbah Satria Giri ,&nbsp;Rikha Aryanie Surya ,&nbsp;Mafrikhul Muttaqin ,&nbsp;Aryo Adhi Condro","doi":"10.1016/j.indic.2025.100915","DOIUrl":null,"url":null,"abstract":"<div><div>Medium-large herbivores are crucial indicators of ecosystem health, representing biodiversity, trophic dynamics, and habitat integrity. The Sumatran serow (<em>Capricornis sumatraensis sumatraensis</em>), a threatened subspecies endemic to Sumatra, is increasingly impacted by anthropogenic activities, poaching, and climate change. This study applied five species distribution models (SDMs)— maximum entropy, random forest, support vector machine, boosted regression trees, and an ensemble algorithm—to predict current and future potential distributions and to identify key ecological indicators influencing serow habitats. Future projections were generated based on two climate change scenarios: mitigation (SSP2) and business-as-usual (SSP5). Among the predictors, mean temperature, distance to timber plantations, and slope were identified as the strongest determinants of habitat suitability. Model outputs suggest a habitat decline of 40.1 % under SSP2 and 48.4 % under SSP5 compared to the current distribution. Additionally, the Sumatran serow's range is projected to experience a 25 % contraction, with 16 % of the range gaining suitability and 41 % becoming unsuitable under SSP2. Under SSP5, a greater contraction of 48 % is expected, with 56 % of the present range predicted to become unsuitable. Potential refugia for the serow are notably smaller under the worst-case scenario (SSP5) compared to mitigation. Our results emphasize the immediate need to integrate climate resilience into conservation planning by identifying climatically favorable habitats and maintaining habitat suitability over time. This study provides critical insights for developing sustainable conservation strategies to ensure the Sumatran serow's persistence, while offering broader implications for biodiversity management under climate change pressures.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"28 ","pages":"Article 100915"},"PeriodicalIF":5.6000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Sustainability Indicators","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665972725003368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Medium-large herbivores are crucial indicators of ecosystem health, representing biodiversity, trophic dynamics, and habitat integrity. The Sumatran serow (Capricornis sumatraensis sumatraensis), a threatened subspecies endemic to Sumatra, is increasingly impacted by anthropogenic activities, poaching, and climate change. This study applied five species distribution models (SDMs)— maximum entropy, random forest, support vector machine, boosted regression trees, and an ensemble algorithm—to predict current and future potential distributions and to identify key ecological indicators influencing serow habitats. Future projections were generated based on two climate change scenarios: mitigation (SSP2) and business-as-usual (SSP5). Among the predictors, mean temperature, distance to timber plantations, and slope were identified as the strongest determinants of habitat suitability. Model outputs suggest a habitat decline of 40.1 % under SSP2 and 48.4 % under SSP5 compared to the current distribution. Additionally, the Sumatran serow's range is projected to experience a 25 % contraction, with 16 % of the range gaining suitability and 41 % becoming unsuitable under SSP2. Under SSP5, a greater contraction of 48 % is expected, with 56 % of the present range predicted to become unsuitable. Potential refugia for the serow are notably smaller under the worst-case scenario (SSP5) compared to mitigation. Our results emphasize the immediate need to integrate climate resilience into conservation planning by identifying climatically favorable habitats and maintaining habitat suitability over time. This study provides critical insights for developing sustainable conservation strategies to ensure the Sumatran serow's persistence, while offering broader implications for biodiversity management under climate change pressures.
连接气候脆弱性和未来分布的受威胁的鲜为人知的物种,苏门答腊雪:一个空间保护的观点
中大型食草动物是生态系统健康的重要指标,代表着生物多样性、营养动态和栖息地完整性。苏门答腊虎(Capricornis sumatraensis sumatraensis)是苏门答腊岛特有的濒危亚种,受到人类活动、偷猎和气候变化的影响越来越大。本研究应用最大熵、随机森林、支持向量机、增强回归树和集成算法五种物种分布模型(SDMs)来预测当前和未来的潜在分布,并确定影响雪生境的关键生态指标。未来预测是基于两种气候变化情景:减缓(SSP2)和一切照旧(SSP5)。在预测因子中,平均温度、到人工林的距离和坡度是生境适宜性的最强决定因素。模式输出表明,与目前的分布相比,SSP2和SSP5下的栖息地分别减少了40.1%和48.4%。此外,苏门答腊海域预计将收缩25%,其中16%的海域适合SSP2, 41%的海域不适合SSP2。根据SSP5,预计收缩幅度将更大,达到48%,目前范围的56%预计将变得不合适。与缓解情况相比,在最坏情况下(SSP5), serow的潜在避难所明显较小。我们的研究结果强调,迫切需要通过确定气候有利的栖息地和保持栖息地的适宜性,将气候适应能力纳入保护规划。这项研究为制定可持续的保护策略提供了重要的见解,以确保苏门答腊岛的持久性,同时为气候变化压力下的生物多样性管理提供了更广泛的启示。
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
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
×
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:604180095
Book学术官方微信