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Predicted impact of climate change on European bats in relation to their biogeographic patterns

机译:气候变化对欧洲蝙蝠生物地理格局的影响

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There has been considerable recent interest concerning the impact of climate change on a wide range of taxa. However, little is known about how the biogeographic affinities of taxa may affect their responses to these impacts. Our main aim was to study how predicted climate change will affect the distribution of 28 European bat species grouped by their biogeographic patterns as determined by a spatial Principal Component Analysis. Using presence-only modelling techniques and climatic data (minimum temperature, average temperature, precipitation, humidity and daily temperature range) for four different climate change scenarios (IPCC scenarios ranging from the most extreme A1FI, A2, B2 to the least severe, B1), we predict the potential geographic distribution of bat species in Europe grouped according to their biogeographic patterns for the years 2020-2030, 2050-2060 and 2090-2100. Biogeographic patterns exert a great influence on a species' response to climate change. Bat species more associated with colder climates, hence northern latitudes, could be more severely affected with some extinctions predicted by the end of the century. The Mediterranean and Temperate groups seem to be more tolerant of temperature increases, however, their projections varied considerably under different climate change scenarios. Scenario A1FI was clearly the most detrimental for European bat diversity, with several extinctions and declines in occupied area predicted for several species. The B scenarios were less damaging and even predicted that some species could increase their geographical ranges. However, all models only took into account climatic envelopes whereas available habitat and species interactions will also probably play an important role in delimiting future distribution patterns. The models may therefore generate 'best case' predictions about future changes in the distribution of European bats.
机译:最近,人们对气候变化对各种分类单元的影响产生了浓厚的兴趣。但是,关于生物分类的生物地理亲和力如何影响其对这些影响的反应知之甚少。我们的主要目的是研究预测的气候变化将如何影响28种欧洲蝙蝠物种的分布,这些物种按空间主成分分析确定的生物地理模式分组。针对四种不同的气候变化场景(IPCC场景,从最极端的A1FI,A2,B2到最不严重的B1),使用仅存在的建模技术和气候数据(最低温度,平均温度,降水,湿度和每日温度范围) ,我们根据2020-2030年,2050-2060年和2090-2100年的生物地理模式对欧洲蝙蝠物种的潜在地理分布进行了预测。生物地理格局对物种对气候变化的响应具有很大的影响。到20世纪末,一些物种的灭绝将使蝙蝠物种与更寒冷的气候相关,从而影响北纬地区。地中海和温带地区的群体似乎对温度升高的容忍度更高,但是,在不同的气候变化情景下,他们的预测差异很大。情况A1FI显然是对欧洲蝙蝠多样性最有害的情况,预计几种物种的灭绝和占地减少将导致这种情况。 B情景的破坏性较小,甚至预测某些物种可能扩大其地理范围。但是,所有模型都只考虑了气候范围,而可用的栖息地和物种之间的相互作用也可能在界定未来的分布格局方面发挥重要作用。因此,这些模型可能会生成有关欧洲蝙蝠分布未来变化的“最佳案例”预测。

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