Ecological niche modelling reveals an elevated threat status for the Nilgiri Pipit (Anthus nilghiriensis)

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Abhimanyu Lele, M. Arasumani, C. K. Vishnudas, Pankaj Koparde, Viral Joshi, V. V. Robin
{"title":"Ecological niche modelling reveals an elevated threat status for the Nilgiri Pipit (Anthus nilghiriensis)","authors":"Abhimanyu Lele, M. Arasumani, C. K. Vishnudas, Pankaj Koparde, Viral Joshi, V. V. Robin","doi":"10.1007/s10336-023-02133-0","DOIUrl":null,"url":null,"abstract":"<p>South India’s Western Ghats are a global biodiversity hotspot and an area of conservation concern with numerous endemic species. There is an urgent need for accurate threat assessments for these species, including the Nilgiri Pipit (<i>Anthus nilghiriensis</i>). The Nilgiri pipit is endemic to the montane grasslands of the Western Ghats, and has experienced recent rapid habitat declines. Here, we characterize the climatic niche of this species using environmental niche modelling, and use these models to estimate its range and threat status. Using the Maxent modelling algorithm and presence data from surveys by expert observers, we find that the Nilgiri Pipit is strongly sensitive to higher temperatures. We project the best-performing models to the last glacial maximum and find evidence that the species had a considerably larger range under that climatic regime. We estimate that the extent of suitable available habitat is no more than 436 km<sup>2</sup> even using the most conservative threshold. Based on this result, and the documented decline in and fragmentation of its habitat, we recommend that the species be uplisted to “endangered” on the IUCN Red List, from its current status of “vulnerable”. Finally, we compare these results to models based on identically processed eBird data, and find that eBird data produce larger estimates of suitable habitat: we, therefore, recommend caution in the interpretation of environmental niche models based on eBird data.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10336-023-02133-0","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

South India’s Western Ghats are a global biodiversity hotspot and an area of conservation concern with numerous endemic species. There is an urgent need for accurate threat assessments for these species, including the Nilgiri Pipit (Anthus nilghiriensis). The Nilgiri pipit is endemic to the montane grasslands of the Western Ghats, and has experienced recent rapid habitat declines. Here, we characterize the climatic niche of this species using environmental niche modelling, and use these models to estimate its range and threat status. Using the Maxent modelling algorithm and presence data from surveys by expert observers, we find that the Nilgiri Pipit is strongly sensitive to higher temperatures. We project the best-performing models to the last glacial maximum and find evidence that the species had a considerably larger range under that climatic regime. We estimate that the extent of suitable available habitat is no more than 436 km2 even using the most conservative threshold. Based on this result, and the documented decline in and fragmentation of its habitat, we recommend that the species be uplisted to “endangered” on the IUCN Red List, from its current status of “vulnerable”. Finally, we compare these results to models based on identically processed eBird data, and find that eBird data produce larger estimates of suitable habitat: we, therefore, recommend caution in the interpretation of environmental niche models based on eBird data.

Abstract Image

生态位建模揭示尼尔吉里鸻(Anthus nilghiriensis)面临的高威胁状况
印度南部的西高止山脉是全球生物多样性的热点地区,也是众多特有物种的保护区。目前迫切需要对这些物种进行准确的威胁评估,包括尼尔吉里鸻(Anthus nilghiriensis)。尼尔吉里鸻是西高止山脉山地草原上的特有物种,近年来栖息地迅速减少。在此,我们利用环境生态位建模来描述该物种的气候生态位特征,并利用这些模型来估计其分布范围和受威胁状况。通过使用 Maxent 建模算法和专家观察员的调查数据,我们发现尼尔吉里鸻对较高的温度非常敏感。我们将表现最好的模型预测到上一个冰川最盛时期,并发现有证据表明在当时的气候条件下,该物种的活动范围要大得多。我们估计,即使使用最保守的阈值,合适的可用栖息地范围也不会超过 436 平方公里。基于这一结果,以及其栖息地减少和破碎化的记录,我们建议将该物种从目前的 "易危 "状态上调至《世界自然保护联盟红色名录》中的 "濒危 "状态。最后,我们将这些结果与基于同样处理过的 eBird 数据的模型进行了比较,发现 eBird 数据对适宜栖息地的估计值更大:因此,我们建议在解释基于 eBird 数据的环境生态位模型时要谨慎。
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
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
×
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