Identifying the environmental drivers of corridors and predicting connectivity between seasonal ranges in multiple populations of Alpine ibex (Capra ibex) as tools for conserving migration

IF 4.6 2区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Diversity and Distributions Pub Date : 2024-06-04 DOI:10.1111/ddi.13894
Victor Chauveau, Mathieu Garel, Carole Toïgo, Pia Anderwald, Mathieu Beurier, Michel Bouche, Yoann Bunz, Francesca Cagnacci, Marie Canut, Jérôme Cavailhes, Ilka Champly, Flurin Filli, Alfred Frey-Roos, Gunther Gressmann, Ivar Herfindal, Florian Jurgeit, Laura Martinelli, Rodolphe Papet, Elodie Petit, Maurizio Ramanzin, Paola Semenzato, Eric Vannard, Anne Loison, Aurélie Coulon, Pascal Marchand
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Abstract

Aim

Seasonal migrations, such as those of ungulates, are particularly threatened by habitat transformations and fragmentation, climate and other environmental changes caused by anthropogenic activities. Mountain ungulate migrations are neglected because they are relatively short, although traversing heterogeneous altitudinal gradients particularly exposed to anthropogenic threats. Detecting migration routes of these species and understanding their drivers are therefore of primary importance to predict connectivity and preserve ecosystem functions and services. The populations of Alpine ibex Capra ibex have all been reintroduced from the last remnant source population. Despite a general increase in abundance and overall distribution range, ibex populations are mostly disconnected but display intra-population migrations. Therefore, its conservation is strictly linked to the interplay between external threats and related behavioural responses, including space use and migration.

Location

Austria, France, Italy and Switzerland.

Methods

By using 337 migratory tracks from 425 GPS-collared individuals from 15 Alpine ibex populations distributed across their entire range, we (i) identified the environmental drivers of movement corridors in both spring and autumn and (ii) compared the ability of a connectivity modelling algorithm to predict migratory movements between seasonal ranges of the 15 populations, using either population-specific or multipopulation datasets, and three validation procedures.

Results

Steep, south-facing, snow-free slopes were selected while high elevation changes were avoided. This revealed the importance of favourable resources and an attempt to limit energy expenditures and perceived predation risk. The abilities of the modelling methods we compared to predict migratory connectivity from the results of those movement analyses were similar.

Main Conclusions

The trade-off between energy expenditure, food and cover was the major driver of migration routes and was overall consistent among populations. Based on these findings, we provided useful connectivity models to inform conservation of Alpine ibex and its habitats, and a framework for future research investigating connectivity in migratory species.

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在阿尔卑斯山山羊(Capra ibex)的多个种群中确定走廊的环境驱动因素并预测季节性分布区之间的连通性,以此作为保护迁徙的工具
季节性迁徙(如有蹄类动物的迁徙)尤其受到人类活动造成的栖息地变化和破碎化、气候和其他环境变化的威胁。山地有蹄类动物的迁徙之所以被忽视,是因为它们的迁徙时间相对较短,但穿越的海拔梯度不同,特别容易受到人为活动的威胁。因此,探测这些物种的迁徙路线并了解其驱动因素对于预测连接性和保护生态系统功能与服务至关重要。阿尔卑斯山山羊(Capra ibex)的种群都是从最后一个残存的源头种群中重新引入的。尽管山羊的数量和总体分布范围普遍增加,但它们的种群大多互不相连,而是在种群内部迁徙。因此,保护山羊与外部威胁和相关行为反应(包括空间利用和迁徙)之间的相互作用密切相关。通过使用分布在整个阿尔卑斯山山羊种群中的15个种群的425只GPS定位个体的337条迁徙足迹,我们(i)确定了春季和秋季迁徙走廊的环境驱动因素;(ii)比较了连接性建模算法预测15个种群季节性范围之间迁徙活动的能力,该算法使用了特定种群或多种群数据集以及三种验证程序。这揭示了有利资源的重要性,以及限制能量消耗和捕食风险的尝试。我们比较了几种建模方法,根据这些迁移分析结果预测迁移连通性的能力是相似的。能量消耗、食物和覆盖物之间的权衡是迁移路线的主要驱动因素,而且在不同种群之间总体上是一致的。基于这些发现,我们为阿尔卑斯山山羊及其栖息地的保护提供了有用的连通性模型,并为未来研究迁徙物种的连通性提供了框架。
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来源期刊
Diversity and Distributions
Diversity and Distributions 环境科学-生态学
CiteScore
8.90
自引率
4.30%
发文量
195
审稿时长
8-16 weeks
期刊介绍: Diversity and Distributions is a journal of conservation biogeography. We publish papers that deal with the application of biogeographical principles, theories, and analyses (being those concerned with the distributional dynamics of taxa and assemblages) to problems concerning the conservation of biodiversity. We no longer consider papers the sole aim of which is to describe or analyze patterns of biodiversity or to elucidate processes that generate biodiversity.
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