Jenner Rodas-Trejo, María Gómez-Tolosa, Eduardo J. Naranjo, Sergio López
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引用次数: 0
Abstract
The landscape’s structure significantly impacts how communities assemble due to the environment filtering and the limitation of dispersal processes. Human activities can enhance or alter these factors, resulting in changing environments and isolated animal populations. In studying this, we used 39 camera trap stations during 102 continuous days in preserved and disturbed areas to assess medium and large terrestrial mammals in the Selva El Ocote Biosphere Reserve in Chiapas, Mexico (REBISO). We identified various groups of mammals and the factors influencing their presence and distribution through VIF, Clustering, RDA, NDMS, ANOSIM multivariate, and niche decomposition (OMI) analyses. The redundancy analysis (RDA) indicated that the most significant variables were altitude, distance to main roads and settlements, and forest cover. The optimal multivariate indicator (OMI) analysis accounted for 88.75% of the variability in niche structure. It revealed that Puma concolor exhibited the highest level of specialization (marginality = 2.96), while Nasua narica displayed the most generalist behavior (marginality = 0.26). Natural elements and human impact played a crucial role in the species’ distribution, resulting in patterns in two distinct conditions: one characterized by preserved natural environments and the other affected by significant human impact. Notably, 63% of the species were common in both regions. For instance, Cuniculus paca positively correlated with distance to main roads and altitude, whereas Leopardus pardalis negatively responded to proximity to settlements. This study emphasizes the importance of maintaining habitat connectivity to preserve terrestrial mammal species.
由于环境的过滤和扩散过程的限制,景观结构显著影响着群落的聚集方式。人类活动可以增强或改变这些因素,导致环境变化和孤立的动物种群。在墨西哥恰帕斯州的Selva El Ocote生物圈保护区(REBISO),我们利用39个相机陷阱站,连续102天在保护区和受干扰区对大中型陆生哺乳动物进行了评估。通过VIF分析、聚类分析、RDA分析、NDMS分析、ANOSIM多变量分析和生态位分解(OMI)分析,确定了不同的哺乳动物类群及其存在和分布的影响因素。冗余分析(RDA)表明,海拔高度、与主要道路和居民点的距离和森林覆盖是最显著的变量。最优多变量指标(OMI)分析占生态位结构变异性的88.75%。结果表明,美洲狮的专业化程度最高(边际度为2.96),美洲狮的通才程度最高(边际度为0.26)。自然因素和人类影响在物种分布中起着至关重要的作用,导致了两种截然不同的模式:一种以自然环境保存为特征,另一种则受到重大人类影响。值得注意的是,63%的物种在这两个地区都很常见。例如,小鹿与主要道路的距离和海拔高度呈正相关,而美洲豹与定居点的距离呈负相关。本研究强调了维持栖息地连通性对保护陆生哺乳动物物种的重要性。
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.