Rezende Enrico L, Carter Mauricio J
Departamento de Ecología, Center of Applied Ecology and Sustainability (CAPES), Facultad de Ciencias Biológicas, Universidad Católica de Chile, Santiago, Chile.
Departamento de Ecología y Biodiversidad, Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile.
Glob Chang Biol. 2024 Dec;30(12):e17623. doi: 10.1111/gcb.17623.
Predicting how rising temperatures will impact different species and communities is imperative and increasingly urgent with ongoing global warming. Here, we describe how thermal-death time curves obtained in the laboratory can be combined with an envelope model to predict the mortality of freshwater fish under field conditions and their distribution limits. We analyze the heat tolerance and distribution of 22 fish species distributed across North America and demonstrate that high temperatures imposed a distribution boundary for 11 of them, employing a null model. Importantly, predicted thermal boundaries closely match the warmest suitable locality of the envelope model. Simulated warming suggests that the distribution of fish species with lower heat tolerances will be disproportionately affected by rising temperatures, and the rate of local extinctions will be higher across fish communities in warmer localities. Ultimately, our analyses illustrate how physiological information can be combined with distribution models to forecast how warming temperatures are expected to impact different species and ecological communities.
随着全球变暖的持续,预测气温上升将如何影响不同物种和群落至关重要且日益紧迫。在此,我们描述了如何将实验室中获得的热死亡时间曲线与包络模型相结合,以预测淡水鱼在野外条件下的死亡率及其分布极限。我们分析了分布于北美的22种鱼类的耐热性和分布情况,并通过一个零模型证明高温为其中11种鱼类设定了分布边界。重要的是,预测的热边界与包络模型中最温暖的适宜区域紧密匹配。模拟变暖表明,耐热性较低的鱼类物种分布将受到气温上升的不成比例的影响,并且在较温暖地区的鱼类群落中,局部灭绝的速度将更高。最终,我们的分析说明了如何将生理信息与分布模型相结合,以预测气温变暖预计将如何影响不同物种和生态群落。