Variability in habitat selection between herds for a widespread ungulate

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2025-02-01 Epub Date: 2024-12-17 DOI:10.1016/j.ecolmodel.2024.110991
Logan Hysen , Ho Yi Wan , Patrick Jantz , Jeff Gagnon , Samuel A. Cushman
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Abstract

Understanding habitat selection is critical for the conservation of ungulate species. Our aim was to (1) quantify herd-specific habitat selection for American pronghorn (Antilocapra americana) in the southwestern United States and (2) produce a habitat suitability map that can aid in the prioritization of management actions. We used GPS telemetry locations for individual pronghorn from 2007–2013 representing six herds and remotely sensed habitat covariates to model habitat selection. To determine the effect of each habitat covariate on habitat selection, we fit integrated step selection functions (iSSFs) to the data for each pronghorn herd using a mixed-effects modeling framework. We included random effects of individual pronghorn to account for intra-specific variability in selection. We used the coefficient values from iSSFs to produce a habitat suitability map averaged across the six herds and then evaluated the predictions against data from independently tracked pronghorn herds. Our findings indicated that while there is between-herd variability in pronghorn habitat selection in northern Arizona, there were also some common relationships. All herds selected for areas with a greater proportion of grassland and shrubland, however the magnitude of that selection varied between herds. Most herds also selected areas with low topographic diversity and a lower proportion of developed land with different magnitudes of response between herds. The responses to these two covariates seem to be related to function responses to local limiting factors. The average habitat suitability map indicated large swaths of unsuitable area separating some herds with large areas of habitat in the northeast. Our results demonstrate the importance of investigating herd-level variation in habitat selection analyses for herd-forming species, meaning managers can make decisions that are tailored to a herd's unique situation but also contextualize those decisions within conservation efforts across the landscape.
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广布有蹄类动物群间栖息地选择的可变性
了解栖息地选择对有蹄类物种的保护至关重要。我们的目的是(1)量化美国西南部美洲叉角羚(Antilocapra americana)的种群特异性栖息地选择;(2)绘制栖息地适宜性图,以帮助确定管理行动的优先顺序。利用2007-2013年6个鹿群的GPS遥测位置和遥感生境协变量来模拟生境选择。为了确定每个栖息地协变量对栖息地选择的影响,我们使用混合效应建模框架对每个叉角羚群体的数据进行了综合步长选择函数(issf)拟合。我们纳入了个体叉角羚的随机效应,以解释选择中的种内变异性。我们利用issf的系数值生成了六个种群的平均栖息地适宜性图,然后根据独立跟踪的叉角羚种群数据对预测结果进行了评估。我们的研究结果表明,尽管在亚利桑那州北部的叉角羚栖息地选择中存在种群间的变异性,但也存在一些共同的关系。所有畜群都选择草原和灌丛比例较大的地区,但选择的幅度在畜群之间有所不同。大多数畜群也选择地形多样性低、发达土地比例低的地区,且畜群之间的响应程度不同。对这两个协变量的响应似乎与函数对局部限制因素的响应有关。平均生境适宜性图显示,东北有大片的不适宜区,将一些牧群与大面积的生境分隔开来。我们的研究结果表明,在种群形成物种的栖息地选择分析中,调查种群水平变化的重要性,这意味着管理者可以根据种群的独特情况做出决策,同时也可以将这些决策纳入整个景观的保护工作中。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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