首页> 外文期刊>Biological Conservation >Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA
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Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA

机译:气候变化和可再生能源发展对美国莫哈韦沙漠中的地方性松鼠Xerospermophilus mohavensis栖息地的影响

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Predicting changes in species distributions under a changing climate is becoming widespread with the use of species distribution models (SDMs). The resulting predictions of future potential habitat can be cast in light of planned land use changes, such as urban expansion and energy development to identify areas with potential conflict. However, SDMs rarely incorporate an understanding of dispersal capacity, and therefore assume unlimited dispersal in potential range shifts under uncertain climate futures. We use SDMs to predict future distributions of the Mojave ground squirrel, Xerospermophilus mohavensis Merriam, and incorporate partial dispersal models informed by field data on juvenile dispersal to assess projected impact of climate change and energy development on future distributions of X. mohavensis. Our models predict loss of extant habitat, but also concurrent gains of new habitat under two scenarios of future climate change. Under the B1 emissions scenario-a storyline describing a convergent world with emphasis on curbing greenhouse gas emissions-our models predicted losses of up to 64% of extant habitat by 2080, while under the increased greenhouse gas emissions of the A2 scenario, we suggest losses of 56%. New potential habitat may become available to X. mohavensis, thereby offsetting as much as 6330 km(2) (50%) of the current habitat lost. Habitat lost due to planned energy development was marginal compared to habitat lost from changing climates, but disproportionately affected current habitat. Future areas of overlap in potential habitat between the two climate change scenarios are identified and discussed in context of proposed energy development. Published by Elsevier Ltd.
机译:随着物种分布模型(SDM)的使用,预测气候变化下物种分布的变化正变得越来越普遍。可以根据计划中的土地使用变化(例如城市扩张和能源开发,以识别可能存在冲突的区域)来预测未来潜在的栖息地。但是,SDM很少了解对扩散能力的了解,因此,在不确定的气候未来下,潜在范围变化的扩散假设是无限的。我们使用SDM来预测莫哈韦沙漠地松鼠Xerspermophilus mohavensis Merriam的未来分布,并结合有关少年散布的实地数据提供的部分散布模型,以评估气候变化和能源发展对X. mohavensis未来分布的预期影响。我们的模型预测了在未来气候变化的两种情况下,现有栖息地的损失,以及新栖息地的同时收获。在B1排放情景下(故事情节描述了一个趋同的世界,重点是抑制温室气体排放),我们的模型预测到2080年将损失多达64%的现有栖息地,而在A2情景下温室气体排放增加的情况下,我们建议损失占56%。 X. mohavensis可能会获得新的潜在栖息地,从而抵消当前损失的栖息地多达6330 km(2)(50%)。与因气候变化而损失的栖息地相比,由于计划的能源开发而损失的栖息地微不足道,但对当前栖息地的影响却不成比例。在拟议的能源发展背景下,确定并讨论了两种气候变化情景之间潜在栖息地重叠的未来区域。由Elsevier Ltd.发布

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