ICAyCC-Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Mexico City, Mexico.
PINCC-Programa de Investigación en Cambio Climático, Universidad Nacional Autónoma de México, Mexico City, Mexico.
PLoS One. 2024 Oct 4;19(10):e0308522. doi: 10.1371/journal.pone.0308522. eCollection 2024.
Urbanization is a phenomenon where humans concentrate in high densities and consume more per capita energy than in rural areas, imposing high pressures on biodiversity and ecosystem services. Although Mexico is recognized as a megadiverse country and there is an understanding of ecological and evolutionary processes underlying this high diversity, only some efforts have been devoted to understanding how urban biodiversity has been shaped. Here, we compiled a set of socioeconomic and ecological variables to explore macroecological patterns in urban biodiversity across Mexican municipalities. Specifically, we tested the species-area relationships (SAR) between rural and urban areas across municipalities and evaluated the relative role of different socioeconomic and ecological variables driving urban species richness for terrestrial vertebrates. Finally, we explored the exposure of Mexican municipalities to future urban expansion, the urban heat island (UHI) effect, and climate change. Urban and rural settlements show differences in the shape of SAR models. We found that urban area, size of the network of urban protected areas, the number of ecoregions, and GDP explained the urban total species richness relatively well. Mexican cities in the northeast region may be at a higher risk than others. Based on our analyses, policymakers should identify priority urban conservation sites in cities with high species richness and low urbanization development. These actions would alleviate future urban biodiversity loss in these growing cities.
城市化是一种人类集中居住并消耗比农村地区更多人均能源的现象,对生物多样性和生态系统服务造成了巨大压力。尽管墨西哥被认为是一个生物多样性大国,并且对造成这种高度多样性的生态和进化过程有一定的了解,但仅投入了一些努力来了解城市生物多样性是如何形成的。在这里,我们编制了一套社会经济和生态变量,以探索墨西哥市政当局城市生物多样性的宏观生态模式。具体来说,我们检验了市政当局农村和城市地区之间的物种-面积关系 (SAR),并评估了不同社会经济和生态变量对陆地脊椎动物城市物种丰富度的相对作用。最后,我们探讨了墨西哥市政当局对未来城市扩张、城市热岛 (UHI) 效应和气候变化的暴露情况。城市和农村定居点的 SAR 模型形状存在差异。我们发现,城市面积、城市保护区网络的大小、生态区的数量和 GDP 相对较好地解释了城市的总物种丰富度。墨西哥东北部地区的城市可能比其他地区面临更大的风险。根据我们的分析,政策制定者应在物种丰富度高且城市化发展程度低的城市中确定优先城市保护地点。这些行动将缓解这些不断发展的城市未来的城市生物多样性丧失。