Instituto Mixto de Investigación en Biodiversidad (IMIB-CSIC), Mieres, Spain.
Universidad Internacional Menéndez Pelayo, Madrid, Spain.
PLoS One. 2024 Feb 29;19(2):e0297840. doi: 10.1371/journal.pone.0297840. eCollection 2024.
Global biodiversity is negatively affected by anthropogenic climate change. As species distributions shift due to increasing temperatures and precipitation fluctuations, many species face the risk of extinction. In this study, we explore the expected trend for plant species distributions in Central America and southern Mexico under two alternative Representative Concentration Pathways (RCPs) portraying moderate (RCP4.5) and severe (RCP8.5) increases in greenhouse gas emissions, combined with two species dispersal assumptions (limited and unlimited), for the 2061-2080 climate forecast. Using an ensemble approach employing three techniques to generate species distribution models, we classified 1924 plant species from the region's (sub)tropical forests according to IUCN Red List categories. To infer the spatial and taxonomic distribution of species' vulnerability under each scenario, we calculated the proportion of species in a threat category (Vulnerable, Endangered, Critically Endangered) at a pixel resolution of 30 arc seconds and by family. Our results show a high proportion (58-67%) of threatened species among the four experimental scenarios, with the highest proportion under RCP8.5 and limited dispersal. Threatened species were concentrated in montane areas and avoided lowland areas where conditions are likely to be increasingly inhospitable. Annual precipitation and diurnal temperature range were the main drivers of species' relative vulnerability. Our approach identifies strategic montane areas and taxa of conservation concern that merit urgent inclusion in management plans to improve climatic resilience in the Mesoamerican biodiversity hotspot. Such information is necessary to develop policies that prioritize vulnerable elements and mitigate threats to biodiversity under climate change.
全球生物多样性受到人为气候变化的负面影响。由于温度升高和降水波动导致物种分布发生变化,许多物种面临灭绝的风险。在这项研究中,我们探讨了在两种替代代表性浓度途径(RCP)下中美洲和墨西哥南部植物物种分布的预期趋势,这两种途径描绘了温室气体排放的中度(RCP4.5)和严重(RCP8.5)增加,同时考虑了两种物种扩散假设(有限和无限),预测了 2061-2080 年的气候。我们使用了一种集成方法,采用三种技术生成物种分布模型,根据 IUCN 红色名录类别对该地区(亚热带)森林的 1924 种植物进行了分类。为了推断每个情景下物种脆弱性的空间和分类分布,我们以 30 弧秒的像素分辨率和科为单位,计算了威胁类别(脆弱、濒危、极危)中物种的比例。我们的结果表明,在四个实验情景中,有很高比例(58-67%)的受威胁物种,其中 RCP8.5 和有限扩散的比例最高。受威胁的物种集中在山区,而避免了低地地区,这些地区的条件可能越来越不适宜。年降水量和日较差是物种相对脆弱性的主要驱动因素。我们的方法确定了具有战略意义的山区和需要保护的分类群,这些地区需要紧急纳入管理计划,以提高中美洲生物多样性热点地区的气候适应能力。这些信息对于制定政策是必要的,这些政策优先考虑脆弱要素,并减轻气候变化对生物多样性的威胁。