Prieto-Ramírez Ana María
Institute of Geography University of Hildesheim Hildesheim Germany.
Ecol Evol. 2023 Aug 17;13(8):e10419. doi: 10.1002/ece3.10419. eCollection 2023 Aug.
A better understanding of the impact of habitat loss on population density can be achieved by evaluating effects of both parameters within remnant habitat patches and parameters of the landscape surrounding those patches. The integration of predictors at the patch and landscape level is scarce in animal ecological studies, especially for reptiles. In this study, a patch-landscape approach was applied to evaluate the combined effects of within-patch habitat quality, patch geometry and landscape configuration and composition on the density of remnant populations of the eastern green lizard, , in a highly modified landscape in Bulgaria. Landscape composition variables (proportion of different land covers) were measured at different spatial scales surrounding patches. Single-scale models were built to evaluate combined effects of all predictors on density, when including all landscape composition variables at a specific spatial scale. Multi-scale models were applied to analyze combined effects when including landscape composition variables at the scale of their strongest effect (scale of effect, SoE). Results showed that the SoE of proportion of cropland and urban areas was small (50 m), while for proportion of habitat was large (1.5 km). The overall effect of habitat loss was better explained by the multi-scale model. Population density increased with patch area and decreased with patch shape irregularity and with the proportion of three land cover types surrounding patches-cropland, urban areas, and habitat. Combining patch and landscape parameters is important to identify ecological processes that occur simultaneously at different spatial levels and landscape scales, which would imply the application of multi-scale approaches for the protection of wild animal populations. Results are contrasted with what is known about occupancy patterns of the species in the same region and approaches to integrate both occupancy and density, in the field design of animal ecological studies are suggested.
通过评估残余栖息地斑块内的参数以及这些斑块周围景观的参数,可以更好地理解栖息地丧失对种群密度的影响。在动物生态学研究中,尤其是对于爬行动物,斑块和景观水平预测因子的整合很少见。在本研究中,采用斑块-景观方法来评估斑块内栖息地质量、斑块几何形状以及景观配置和组成对保加利亚一个高度改造景观中东部绿蜥蜴残余种群密度的综合影响。在斑块周围不同空间尺度上测量景观组成变量(不同土地覆盖类型的比例)。当在特定空间尺度纳入所有景观组成变量时,构建单尺度模型来评估所有预测因子对密度的综合影响。当纳入其最强影响尺度(影响尺度,SoE)的景观组成变量时,应用多尺度模型来分析综合影响。结果表明,农田和城市区域比例的SoE较小(50米),而栖息地比例的SoE较大(1.5千米)。多尺度模型能更好地解释栖息地丧失的总体影响。种群密度随斑块面积增加而增加,随斑块形状不规则性以及斑块周围三种土地覆盖类型(农田、城市区域和栖息地)的比例增加而降低。结合斑块和景观参数对于识别在不同空间水平和景观尺度上同时发生的生态过程很重要,这意味着应采用多尺度方法来保护野生动物种群。将本研究结果与该地区该物种的占用模式以及整合占用和密度的方法进行了对比,并在动物生态学研究的实地设计中提出了相关建议。