Multi-state diel occupancy model

Current methods to model species habitat use through space and diel time are limited. Development of such models is critical when considering rapidly changing habitats where species are forced to adapt to anthropogenic change, often by shifting their diel activity across space. We use an occupancy modeling framework to specify the multi-state diel occupancy model (MSDOM), which can evaluate species diel activity against continuous response variables which may impact diel activity within and across seasons or years. We used two case studies, fosa in Madagascar and coyote in Chicago, USA, to conceptualize the application of this model and to quantify the impacts of human activity on species spatial use in diel time. We found support that both species varied their habitat use by diel states—in and across years, and by human disturbance. Our results exemplify the importance of understanding animal diel activity patterns and how human disturbance can lead to temporal habitat loss. The MSDOM will allow more focused attention in ecology and evolution studies on the importance of the short temporal scale of diel time in animal-habitat relationships and lead to improved habitat conservation and management.

当前基于空间与昼夜活动时间构建物种栖息地利用模型的方法仍存在局限。在栖息地快速变化的背景下，物种往往需通过调整跨空间的昼夜活动节律以适应人为活动变化，此时开发此类模型便显得尤为关键。我们采用占用模型框架，构建了多状态昼夜占用模型（multi-state diel occupancy model, MSDOM），该模型可针对可能在季节内、季节间或年度间影响昼夜活动的连续响应变量，评估物种的昼夜活动模式。我们以马达加斯加的马岛灵猫（fosa）与美国芝加哥的郊狼（coyote）为两个案例研究对象，阐明该模型的应用路径，并量化人类活动对物种在昼夜时间尺度上的空间利用所产生的影响。我们的研究结果表明，两种物种均会依据昼夜时段、年度内与跨年度的差异，以及人类干扰程度调整其栖息地利用模式。本研究结果印证了理解动物昼夜活动节律，以及人类干扰如何引发时间维度上的栖息地丧失的重要性。多状态昼夜占用模型将促使生态学与进化研究更加关注昼夜时间这一短时间尺度在动物-栖息地关系中的重要性，并助力提升栖息地保护与管理的水平。

搜集汇总

背景与挑战

背景概述

该数据集介绍了一个多状态昼夜占用模型（MSDOM），用于分析物种在昼夜时间尺度上的空间使用模式，特别关注人类活动对物种活动的影响。模型通过两个案例研究（马达加斯加的fosa和芝加哥的郊狼）验证，展示了物种如何随人类干扰调整昼夜活动，有助于改善栖息地保护和管理策略。