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Range contraction to a higher elevation: the likely future of the montane vegetation in South Africa and Lesotho

机译:范围收缩到更高的海拔:南非和莱索托蒙太烷植被的可能未来

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Global climate change is a major challenge for the future with serious potential impacts on biodiversity. Biodiversity in mountains is particularly vulnerable as many montane species are adapted to narrow microhabitats, making them less able to adjust to a climatic change. It is considered important to investigate range changes in the South African Great Escarpment because of the high levels of biodiversity in these mountains, as well as their importance for water provision in South Africa. The current and future ranges of 46 montane plant species in South Africa and Lesotho were therefore modelled using biomod in R, using presence points and predictor variables which included rainfall and temperature worldclim layers. The performance of distribution models produced was evaluated using the Area Under the receiver operating Curve(AUC), True Skill Statistic(TSS), Sensitivity and Specificity. We calculated beta diversity and species richness changes between current and future climates for the group of 46 species, as well as shifts of the predicted presence region boundaries and centroids. We also analysed shifts in minimum, median and maximum elevations. Results show a contraction in species' ranges towards higher elevation as has been documented from other mountain regions around the world. These results are a cause for concern as a warming climate is decreasing the potential regions of occurrence of montane species in South Africa and Lesotho's mountainous regions of high biodiversity. This region is under a diverse range of conservation and land use management practises, and our results suggest a coordinated response to climate change is needed.
机译:全球气候变化是对未来对生物多样性的严重潜在影响的重大挑战。山中的生物多样性特别容易受到群体,因为许多山氧烷物种适应狭窄的微藻,使它们能够不太能够适应气候变化。由于这些山脉的高度生物多样性以及南非水分的高度的生物多样性,因此认为南非大悬崖的范围变化是重要的。因此,在南非和莱索托中使用BioMod在R中使用的存在点和预测变量来建模46个山氧化尼植物物种的当前和未来范围,包括降雨和温度WorldClim层。使用接收器操作曲线(AUC)下的面积,真正的技能统计(TSS),灵敏度和特异性来评估产生的分布模型的性能。我们计算了β多样性和物种丰富性,对46种组的当前和未来气候之间的变化,以及预测的存在区边界和质心的转变。我们还分析了最小,中位数和最大高度的转变。结果表明,在世界各地的其他山区文件中,物种范围内的收缩升高。这些结果是令人担忧的原因,因为温暖的气候正在降低南非和莱索托的高生物多样性山区地区的蒙烷种类的潜在区域。该地区是在各种保护和土地利用管理实践范围内,我们的成果表明需要对气候变化的协调响应。

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