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Comparing models using air and water temperature to forecast an aquatic invasive species response to climate change

机译:使用空气和水温进行比较模型,预测水生侵入物种对气候变化的反应

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Understanding invasive species spread and projecting how distributions will respond to climate change is a central task for ecologists. Typically, current and projected air temperatures are used to forecast future distributions of invasive species based on climate matching in an ecological niche modeling approach. While this approach was originally developed for terrestrial species, it has also been widely applied to aquatic species even though aquatic species do not experience air temperatures directly. In the case of lakes, species respond to lake thermal regimes, which reflect the interaction of climate and lake attributes such as depth, size, and clarity. The result is that adjacent waterbodies can differ notably in thermal regime. Given these obvious limitations of modeling aquatic species distributions using climate data, we take advantage of recent advances in simulating lake thermal regimes to model the distributions of invasive spiny water flea (Bythotrephes cederstr?mii ) for current and projected future climates in the upper Midwest of the USA. We compared predictions and future projections from models based on modeled air temperatures with models based on modeled water temperature. All models predicted that the number of suitable lakes in the region will decrease with climate change. Models based on air and water temperature differed dramatically in the extent of this decrease. The air temperature model predicted 89% of study lakes to be suitable, with suitability declining dramatically in the late century with climate warming to just a single suitable lake. Lake suitability predictions from the water temperature model declined to a much lesser degree with warming (42% of lakes were predicted to be suitable, declining to 19% in the late century) and were more spatially independent. Our results expose the limitations of using air temperatures to model habitat suitability for aquatic species, and our study further highlights the importance of understanding lake‐specific responses to climate when assessing aquatic species responses to climate change. While we project a contraction in the potential range ofBythotrephes with warming in the study region, we anticipate thatBythotrephes will likely continue to expand into new lakes that will remain suitable in the following decades.
机译:了解侵入性物种传播和投影分配方式如何应对气候变化是生态学家的核心任务。通常,电流和投影空气温度用于预测基于生态利基造型方法的气候匹配的未来侵入性物种分布。虽然这种方法最初是为陆地物种开发的而,即使水生物种直接遇到空气温度,它也已被广泛应用于水生物种。在湖泊的情况下,物种响应了湖泊热度制度,反映了气候和湖泊属性如深度,尺寸和清晰度的互动。结果是,相邻的水上水平可以在热状态下显着不同。鉴于使用气候数据的模拟水生种分布的这些明显的局限性,我们利用了近期模拟湖泊热力制度的进步,以模拟侵入性刺水蚤的分布( Bythotre'tr?Mii),以便在当前和预计未来的气候中美国中西部中西部。我们将基于基于模型水温的模型与模型的模型与模型的预测和未来预测进行了比较。所有型号预测,该地区合适的湖泊数量将随着气候变化而降低。基于空气和水温的模型在这种减少的程度上显着不同。空气温度模型预测了89%的学习湖泊是合适的,适用性在深入世纪时期,气候变暖到一个合适的湖泊。水温模型的湖泊适用性预测下降到较大程度的温暖程度(预计42%的湖泊被认为是合适的,在后期下降到19%),更加空间地独立。我们的结果揭示了使用空气温度对水生物种模型栖息地适合性的局限性,我们的研究进一步凸显了在评估水生物种对气候变化的反应时理解湖泊特定反应对气候的重要性。虽然我们在学习区域中升温的潜在范围的潜在范围内投射萎缩,但我们预计我的意见可能会继续扩大到新的湖泊中,这将在以下几十年内保持适应的新湖泊。

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