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The worrying future of the endemic flora of a tropical mountain range under climate change

机译:气候变化下热带山脉特有植物区系令人担忧的未来

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Current global warming causes range changes and affects the distribution of species. Microendemics are the first affected and the most threatened by climate change. Here, we model the potential range of the rupestrian grassland biome (campos rupestres) in a neotropical, endemic-rich mountain range to project changes in its distribution and biodiversity. Our approach is based on the distribution of 42 asclepiad species endemic to the Espinhago Range, southeastern Brazil. Models were produced for the present and for 2020, 2050 and 2080, under two different scenarios of CO2 emission, by implementing a maximum entropy machine-learning algorithm (maxent). The area suitable for campos rupestres was projected to be smaller in the future, and in 2080 would represent approximately half of the current area, most of which would be restricted to the southern portion of the Espinhaco Range. According to our models, by the end of the century, the area suitable for campos rupestres in the northern portion of the Espinhago Range (Chapada Diamantina) would be reduced to only 1.7%, restricted to two small fragments that are not yet protected by the current reserves. This habitat loss corresponds to an estimated 56% richness loss and the likely extinction of 328 (97%) microendemic species of angiosperms. Our results highlight the importance of approaches at local and regional scales for conservation planning in a world undergoing anthropogenic climate change. (C) 2015 Elsevier GmbH. All rights reserved.
机译:当前的全球变暖会导致范围变化并影响物种分布。微型流行病是受气候变化影响最大,受威胁最大的地方。在这里,我们对新热带,地方特有的山脉中的草地草原生物群落(campos rupestres)的潜在范围进行建模,以预测其分布和生物多样性的变化。我们的方法是基于巴西东南部Espinhago山脉中42种特有物种的分布。通过实现最大熵机器学习算法(maxent),在两种不同的CO2排放情景下,为当前和2020年,2050年和2080年建立了模型。预计将来适用于坎普斯卢比斯特的面积会较小,到2080年将占目前面积的一半左右,其中大部分将局限于埃斯皮尼亚科山脉的南部。根据我们的模型,到本世纪末,Espinhago山脉北部(Chapada Diamantina)的适合Campos rupestres的区域将减少到仅1.7%,仅限于两个尚未受到保护的小碎片当前储备金。这种栖息地的丧失对应于估计的56%的丰富度丧失和328种(97%)被子植物微特有物种的灭绝。我们的研究结果凸显了在一个遭受人为气候变化的世界中,在地方和区域范围进行保护规划的方法的重要性。 (C)2015 Elsevier GmbH。版权所有。

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