生态位建模揭示尼尔吉里鸻(Anthus nilghiriensis)面临的高威胁状况

IF 1.3 4区 生物学 Q2 Agricultural and Biological Sciences Journal of Ornithology Pub Date : 2023-12-28 DOI:10.1007/s10336-023-02133-0
Abhimanyu Lele, M. Arasumani, C. K. Vishnudas, Pankaj Koparde, Viral Joshi, V. V. Robin
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引用次数: 0

摘要

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。

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

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.

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来源期刊
Journal of Ornithology
Journal of Ornithology 生物-鸟类学
自引率
7.70%
发文量
0
审稿时长
3-8 weeks
期刊介绍: The Journal of Ornithology (formerly Journal für Ornithologie) is the official journal of the German Ornithologists'' Society (http://www.do-g.de/ ) and has been the Society´s periodical since 1853, making it the oldest still existing ornithological journal worldwide.
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