Tropical Biodiversity Section, MUSE-Museo delle Scienze, Trento, Italy.
Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
PLoS One. 2019 Apr 19;14(4):e0215682. doi: 10.1371/journal.pone.0215682. eCollection 2019.
With biodiversity facing unparalleled threats from anthropogenic disturbance, knowledge on the occurrences of species and communities provides for an effective and fast approach to assess their status and vulnerability. Disturbance is most prominent at the landscape-level, for example through habitat loss from large-scale resource extraction or agriculture. However, addressing species responses to habitat changes at the landscape-scale can be difficult and cost-ineffective, hence studies are mostly conducted at single areas or habitat patches. Moreover, there is a relative lack of studies on communities, as opposed to focal species, despite the former may carry more comprehensive information. Here, we used a multi-region, multi-species hierarchical occupancy model to study a meta-community of mammals detected by camera traps across five distinct areas within a heterogeneous landscape in Tanzania, and aimed to assess responses to human disturbance and environmental variables. Estimated species richness did not vary significantly across different areas, even though these held broadly different habitats. Moreover, we found remarkable consistency in the positive effect of distance to human settlements, a proxy for anthropogenic disturbance, on community occupancy. The positive effect of body size and the positive effect of proximity to rivers on community occupancy were also shared by communities. Results yield conservation relevance because: (1) the among-communities consistency in responses to anthropogenic disturbance, despite the heterogeneity in sampled habitats, indicates that conservation plans designed at the landscape-scale may represent a comprehensive and cost-efficient approach; (2) the consistency in responses to environmental factors suggests that multi-species models are a powerful method to study ecological patterns at the landscape-level.
随着生物多样性面临前所未有的人为干扰威胁,对物种和群落出现情况的了解为评估其状况和脆弱性提供了一种有效且快速的方法。干扰在景观层面最为突出,例如通过大规模资源开采或农业导致的栖息地丧失。然而,在景观尺度上解决物种对栖息地变化的反应可能很困难且成本效益不高,因此研究大多在单个区域或栖息地斑块进行。此外,尽管群落可能携带更全面的信息,但相对于焦点物种,对群落的研究相对较少。在这里,我们使用多区域、多物种层次占用模型来研究坦桑尼亚五个不同区域内的相机陷阱检测到的哺乳动物元群落,并旨在评估对人类干扰和环境变量的反应。估计的物种丰富度在不同区域之间没有显著差异,尽管这些区域具有广泛不同的栖息地。此外,我们发现人类定居点距离(人为干扰的代表)对群落占用的积极影响非常一致。身体大小和靠近河流对群落占用的积极影响也为群落所共有。研究结果具有保护相关性,因为:(1)尽管采样栖息地存在异质性,但对人为干扰的群落间反应的一致性表明,在景观尺度上设计的保护计划可能代表一种全面且具有成本效益的方法;(2)对环境因素的反应一致性表明,多物种模型是研究景观尺度生态模式的有力方法。