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Identifying critical areas for conservation: Biodiversity and climate change in central America, Mexico, and the Dominican Republic

机译:确定保护的关键领域:中美洲,墨西哥和多米尼加共和国的生物多样性和气候变化

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Given the rapidity and intensity of anthropogenic impacts on natural systems, assessing the effectiveness of current protected areas in preserving biodiversity is especially important in Mesoamerica and the Caribbean, which contain a wide array of species and ecosystems In light of the growing need to consider climate change in policymaking, combining climate change projections with biodiversity maps allows scientists and decision-makers to understand possible climate change impacts on biodiversity. In this study, we use GIS to identify spatial relationships between regional climate change models and species habitat ranges for Mesoamerica and the Caribbean. Evaluating possible effects of climate change in terms of temperature and precipitation involves three factors: historical averages, historical ranges, and future averages. Because different ecosystems and species exist at different temperature and precipitation ranges, we consider "comfort zones" of each area. We develop a quantitative, spatial measurement of climate change intensity of each area by calculating the difference between historical and future averages and dividing that difference by the area's comfort zone, at a spatial resolution of 1km2. The result is a normalized grid of projected climate change severity. According to the modeling results, should worst case scenario conditions prevail, by the 2020s, the Caribbean coasts of Costa Rica, Honduras, Nicaragua, Panama, and the Dominican Republic, will be significantly impacted by climate change. By the 2080s, all of the ecosystems and species of Central America and the Dominican Republic may be subjected to conditions well outside of their traditional comfort zone, while most of Mexico's ecosystems and species are at lower risk of severe climate change impacts. Integrating species richness data with the climate change severity analyses identifies critical areas that may require specific interventions to facilitate the adaptation of species to climate change. The information generated points not only to the utility of current protected areas, but is also useful in guiding the development of new protected areas and biological corridors, for the reduction of the potential impacts of future climate change.
机译:鉴于人为因素对自然系统的影响的速度和强度,评估目前的保护区在保护生物多样性方面的有效性在中美洲和加勒比地区尤为重要,因为中美洲和加勒比海地区的物种和生态系统种类繁多,考虑到气候变化的需求日益增长在决策过程中,将气候变化预测与生物多样性地图相结合,可使科学家和决策者了解气候变化可能对生物多样性的影响。在这项研究中,我们使用GIS来识别中美洲和加勒比海地区气候变化模型与物种栖息地范围之间的空间关系。根据温度和降水量评估气候变化的可能影响涉及三个因素:历史平均值,历史范围和未来平均值。由于在不同的温度和降水范围内存在不同的生态系统和物种,因此我们将每个区域视为“舒适区”。我们通过计算历史平均值和未来平均值之间的差异,并将该差异除以该地区的舒适区,以1km2的空间分辨率,对每个地区的气候变化强度进行定量的空间测量。结果是预计的气候变化严重性的标准化网格。根据建模结果,如果在最坏的情况下仍然存在,到2020年代,哥斯达黎加,洪都拉斯,尼加拉瓜,巴拿马和多米尼加共和国的加勒比海岸将受到气候变化的严重影响。到2080年代,中美洲和多米尼加共和国的所有生态系统和物种都可能处于其传统舒适区以外的状况,而墨西哥的大多数生态系统和物种处于遭受严重气候变化影响的风险较低。将物种丰富度数据与气候变化严重性分析相结合,可以确定可能需要采取特殊干预措施以促进物种适应气候变化的关键区域。所产生的信息不仅指向当前保护区的用途,而且对于指导新保护区和生物走廊的开发,以减少未来气候变化的潜在影响也很有用。

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