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A framework integrating physiology, dispersal and land-use to project species ranges under climate change

机译:整合生理学,分散和土地利用对项目物种的框架在气候变化下的范围内

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摘要

To study the potential effects of climate change on species, one of the most popular approaches are species distribution models (SDMs). However, they usually fail to consider important species-specific biological traits, such as species' physiological capacities or dispersal ability. Furthermore, there is consensus that climate change does not influence species distributions in isolation, but together with other anthropogenic impacts such as land-use change, even though studies investigating the relative impacts of different threats on species and their geographic ranges are still rare. Here we propose a novel integrative approach which produces refined future range projections by combining SDMs based on distribution, climate, and physiological tolerance data with empirical data on dispersal ability as well as current and future land-use. Range projections based on different combinations of these factors show strong variation in projected range size for our study species Emberiza hortulana. Using climate and physiological data alone, strong range gains are projected. However, when we account for land-use change and dispersal ability, future range-gain may even turn into a future range loss. Our study highlights the importance of accounting for biological traits and processes in species distribution models and of considering the additive effects of climate and land-use change to achieve more reliable range projections. Furthermore, with our approach we present a new tool to assess species' vulnerability to climate change which can be easily applied to multiple species.
机译:为研究气候变化对物种的潜在影响,最流行的方法之一是物种分布模型(SDMS)。然而,它们通常无法考虑重要的物种特异性生物特征,例如物种的生理能力或分散能力。此外,普遍认为气候变化不会影响物种分布,而是与土地利用变化等其他人类影响一起影响,即使研究调查不同威胁对物种及其地理范围的相对影响仍然很少见。在这里,我们提出了一种新的一致方法,通过基于分配,气候和生理公差数据组合具有关于分散能力的经验数据以及当前和未来的土地利用,通过将SDMS组合通过组合SDM来产生精细的未来范围预测。基于这些因素的不同组合的范围预测显示了我们的研究种类欧伯利亚Hortulana的预计范围大小的强烈变化。单独使用气候和生理数据,预计强大的幅度。但是,当我们考虑土地利用变化和分散能力时,未来的范围增益甚至可能变成了未来的范围损失。我们的研究突出了核算生物分布式模型的生物性状和过程的重要性,并考虑了气候和土地利用变化的添加效果,以实现更可靠的范围预测。此外,通过我们的方法,我们提出了一种新的工具来评估物种对气候变化的脆弱性,这可以很容易地应用于多种物种。

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