野生动物活动模式建模——多重离散连续极值(MDCEV)模型的应用

IF 2.8 3区 经济学 Q1 ECONOMICS
Chiara Calastri , Marek Giergiczny , Andreas Zedrosser , Stephane Hess
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引用次数: 0

摘要

运输或营销领域使用的先进计量经济模型正变得越来越复杂,能够捕捉复杂的决策和结果。在本文中,我们将最先进的离散连续选择模型应用于生态学领域,特别是瑞典棕熊种群的活动参与模型。利用GPS项圈随时间追踪野生动物的数据,我们估计了一个多离散连续极值(MDCEV)模型,以了解活动参与度和持续时间是熊特征和其他外部因素的函数。我们表明,该方法不仅适合实现这一目标,而且使我们能够深入了解动物的年龄和性别与活动参与之间的联系,以及与气候变量(温度和降水)和人类活动(狩猎)之间的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling activity patterns of wild animals - An application of the multiple discrete-continuous extreme value (MDCEV) model

Advanced econometric models used in the field of transport or marketing are becoming increasingly sophisticated and able to capture complex decision making and outcomes. In this paper, we apply state-of-the-art discrete-continuous choice models to the field of Ecology, in particular to model activity engagement of the population of Swedish Brown bears. Using data from GPS collars that track wild animals over time, we estimate a Multiple Discrete-Continuous Extreme Value (MDCEV) model to understand activity engagement and duration as a function of both bear characteristics and other external factors. We show that the methodology is not only suitable to address this aim, but also allows us to produce insights into the connection between the animal's age and gender and activity engagement as well as the links with climate variables (temperature and precipitation) and human activity (hunting).

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来源期刊
CiteScore
4.10
自引率
12.50%
发文量
31
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