Spatially explicit population viability analysis of herbivore populations living in fission-fusion societies

生活在裂变社会中的食草动物种群的空间明确种群生存力分析

• 批准号: RGPIN-2015-06144
• 负责人: Fortin, Daniel
• 金额: $ 2.91万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=688045
• 关键词: Spatially; explicit; population; viability; analysis

Population viability analysis (PVA) is a modelling tool used to predict the future size and extinction risk of populations, and commonly informs management and conservation actions. Although group size and movement tactics can have a strong impact on animal survival and reproduction, PVAs generally do not integrate principles of socioecology and movement ecology. The omission could reduce the accuracy of PVAs, especially for species living in fusion-fission societies. In such societies, the constant changes in group size directly influence the movement of group members, their foraging behaviour, and the mortality risk they face. Our objectives are to identify the key factors causing spatial variation in vital rates of gregarious herbivores, and use this information to develop a spatially explicit PVA framework for animals living in fission-fusion societies.****We will study free-ranging plains bison in and around Prince Albert National Park. This bison population faces wolf predation, as well as hunting outside of the park. We will conduct field studies to characterize the spatio-temporal patterns in age-specific vital rates, and identify the environmental factors responsible for those patterns. Field work will involve the extensive use of radio-telemetry. Traditional GPS collars will characterize the spatial dynamics of bison and wolves, whereas proximity collars will provide a detailed account of each interaction between collared bison and wolves. A number of bison will be fit with GPS-collars equipped with a video camera. The footage will provide a broad range of information such as food choice, duration of resting and forging bouts, and calf mortality. Concurrently, we will conduct field surveys to determine group size, vegetation quality, and the activity budget of non-collared bison. We will also collect biological samples for hormonal and DNA analysis. Overall, the field data will be used to 1) develop movement models for individuals living in fusion-fission societies established in patchy environments, 2) link food choice, physiological state, synchrony of activities, fusion-fission group dynamics, and predation risk, 3) identify the determinants of physiological stress, and their impact on animal distribution, and 4) determine the link between space use patterns and recruitment and adult mortality. This information will then become the basis for the development of a spatially explicit PVA.****The proposed research will provide one of the few spatially explicit, mechanistic PVA. Moreover, plains bison are threatened in Canada, and our PVA will provide essential information about the harvest pressure that the population can sustain, given the predation pressure it already faces. The research will contribute to elucidating the ecological links among behaviour, demography, and distribution, while increasing our understanding of a threatened population.***

人口生存能力分析（PVA）是一种建模工具，用于预测人口的未来规模和灭绝风险，并通常为管理和保护措施提供信息。尽管群体规模和运动策略可能会对动物的生存和繁殖产生强大的影响，但PVA通常不会整合社会生态学和运动生态学的原则。遗漏可以降低PVA的准确性，特别是对于生活在融合融合社会中的物种。在这样的社会中，群体规模的不断变化直接影响小组成员的运动，他们的觅食行为以及他们面临的死亡风险。我们的目标是确定导致人类草食动物生命率空间变化的关键因素，并使用此信息来为生活在裂变融合社会中的动物开发空间明确的PVA框架。在阿尔伯特王子国家公园及其周围。这个野牛的人口面临狼的捕食，并在公园外面狩猎。我们将进行现场研究，以表征年龄特异性生命率的时空模式，并确定负责这些模式的环境因素。现场工作将涉及广泛使用无线电测量。传统的GPS项圈将表征野牛和狼的空间动力学，而接近项圈将详细说明领野牛和狼之间的每种相互作用。许多野牛将与配备摄像机配备的GPS账单相提并论。录像将提供广泛的信息，例如食物选择，休息和锻造的持续时间以及小牛死亡率。同时，我们将进行现场调查，以确定群体规模，植被质量和非领野牛的活动预算。我们还将收集生物样品进行激素和DNA分析。总体而言，现场数据将用于1）为生活在斑点环境中建立的融合融合社会中的个人开发运动模型，2）链接食物选择，生理状态，活动同步，融合 - 融合群体动态和捕食风险， 3）确定生理压力的决定因素及其对动物分布的影响，4）确定空间使用模式与招募与成人死亡率之间的联系。然后，这些信息将成为开发空间显式PVA的基础。此外，野牛在加拿大受到威胁，我们的PVA将提供有关人口所面临的捕食压力所面临的收获压力的基本信息。这项研究将有助于阐明行为，人口统计学和分布之间的生态联系，同时增加我们对受威胁人群的理解。***