Chamaillé-Jammes Simon, Charbonnel Anaïs, Dray Stéphane, Madzikanda Hillary, Fritz Hervé
Centre d'Ecologie Fonctionnelle et Evolutive, CNRS UMR 5175, 1919 route de Mende, 34294, Montpellier Cedex 5, France.
Zone Atelier Hwange CNRS - Hwange LTER, PO Box 62, Dete, Zimbabwe.
PLoS One. 2016 Apr 13;11(4):e0153639. doi: 10.1371/journal.pone.0153639. eCollection 2016.
The spatial structuring of populations or communities is an important driver of their functioning and their influence on ecosystems. Identifying the (in)stability of the spatial structure of populations is a first step towards understanding the underlying causes of these structures. Here we studied the relative importance of spatial vs. interannual variability in explaining the patterns of abundance of a large herbivore community (8 species) at waterholes in Hwange National Park (Zimbabwe). We analyzed census data collected over 13 years using multivariate methods. Our results showed that variability in the census data was mostly explained by the spatial structure of the community, as some waterholes had consistently greater herbivore abundance than others. Some temporal variability probably linked to Park-scale migration dependent on annual rainfall was noticeable, however. Once this was accounted for, little temporal variability remained to be explained, suggesting that other factors affecting herbivore abundance over time had a negligible effect at the scale of the study. The extent of spatial and temporal variability in census data was also measured for each species. This study could help in projecting the consequences of surface water management, and more generally presents a methodological framework to simultaneously address the relative importance of spatial vs. temporal effects in driving the distribution of organisms across landscapes.
种群或群落的空间结构是其功能及其对生态系统影响的重要驱动因素。识别种群空间结构的(不)稳定性是理解这些结构潜在原因的第一步。在此,我们研究了空间变异性与年际变异性在解释津巴布韦万基国家公园水坑处大型食草动物群落(8个物种)数量模式方面的相对重要性。我们使用多变量方法分析了13年期间收集的普查数据。我们的结果表明,普查数据的变异性主要由群落的空间结构解释,因为一些水坑的食草动物数量一直比其他水坑多。然而,一些可能与依赖年降雨量的公园规模迁徙相关的时间变异性是明显的。一旦考虑到这一点,几乎没有时间变异性有待解释,这表明在研究尺度上,其他随时间影响食草动物数量的因素影响可忽略不计。我们还测量了每个物种普查数据的空间和时间变异性程度。这项研究有助于预测地表水管理的后果,更广泛地说,它提供了一个方法框架,以同时探讨空间效应与时间效应在驱动生物在景观中分布方面的相对重要性。