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Integrating physiological threshold experiments with climate modeling to project mangrove species' range expansion

机译:将生理阈值实验与气候模型相结合,以预测红树林物种的范围扩展

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Predictions of climate-related shifts in species ranges have largely been based on correlative models. Due to limitations of these models, there is a need for more integration of experimental approaches when studying impacts of climate change on species distributions. Here, we used controlled experiments to identify physiological thresholds that control poleward range limits of three species of mangroves found in North America. We found that all three species exhibited a threshold response to extreme cold, but freeze tolerance thresholds varied among species. From these experiments, we developed a climate metric, freeze degree days (FDD), which incorporates both the intensity and the frequency of freezes. When included in distribution models, FDD accurately predicted mangrove presence/absence. Using 28years of satellite imagery, we linked FDD to observed changes in mangrove abundance in Florida, further exemplifying the importance of extreme cold. We then used downscaled climate projections of FDD to project that these range limits will move northward by 2.2-3.2kmyr(-1) over the next 50years.
机译:与气候有关的物种范围变化的预测很大程度上基于相关模型。由于这些模型的局限性,在研究气候变化对物种分布的影响时,需要更多地整合实验方法。在这里,我们使用受控实验来确定生理阈值,以控制北美发现的三种红树林的极地范围极限。我们发现,所有三个物种均表现出对极端寒冷的阈值响应,但不同物种之间的耐冻性阈值不同。通过这些实验,我们开发了一种气候度量标准,即冻结度天数(FDD),其中包含了冻结的强度和频率。当包括在分布模型中时,FDD可以准确预测红树林的存在与否。利用28年的卫星图像,我们将FDD与佛罗里达州观察到的红树林丰度变化联系起来,从而进一步证明了极端寒冷的重要性。然后,我们使用FDD的缩减气候预测来预测,这些范围限制将在未来50年内向北移动2.2-3.2kmyr(-1)。

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