Department of Biology, Saint Louis University, St. Louis, MO 63103, USA.
Department of Geography, SUNY New Paltz, New Paltz, NY 12561, USA.
Sci Total Environ. 2019 Jun 25;671:421-430. doi: 10.1016/j.scitotenv.2019.03.292. Epub 2019 Mar 20.
Predicting future changes in habitat-associated species traits is an important step in understanding the ecological and evolutionary consequences of environmental change. However, models projecting phenotypic responses to future climate change typically assume populations will respond similarly across the range of a species, while local adaptation and spatial variation in environmental changes are rarely considered. In this study, among-population phenotypic variability was coupled with geographic variation in anticipated hydrologic changes to examine patterns of population-level phenotypic changes expected under future climatic change. To estimate phenotypic responses to watershed hydrology, phenotype-environment associations between body shape and contemporary streamflow were quantified among populations of six species of fishes (Cyprinidae). Future streamflow estimates (2070-2099) were then used to project body shapes within populations, assuming the same phenotype-environment relationships. All species exhibited significant associations between body shape and contemporary streamflow discharge and variability. However, these relationships were not consistent, even among species occupying similar vertical positions in the water column. When these phenotype-environment relationships were projected into future streamflow conditions, populations are not expected to respond uniformly across the species' ranges, and all but one species exhibited projected morphologies outside of the current range of morphological variation. These findings suggest local adaptation and spatial heterogeneity in environmental changes interact to influence variation in the degree of expected phenotypic responses to climate change at both the species and population level.
预测与栖息地相关的物种特征的未来变化是理解环境变化的生态和进化后果的重要步骤。然而,预测表型对未来气候变化响应的模型通常假设种群在物种的整个范围内会以相似的方式做出响应,而很少考虑局部适应和环境变化的空间变化。在这项研究中,种群间表型变异性与预期水文变化的地理变化相结合,以研究在未来气候变化下预期的种群水平表型变化的模式。为了估计对流域水文学的表型响应,在六种鱼类(鲤科)的种群之间量化了体型与当代水流之间的表型-环境关联。然后使用未来的水流估计值(2070-2099 年)来预测种群内的体型,假设相同的表型-环境关系。所有物种的体型与当代水流流量和变异性之间都存在显著的关联。然而,这些关系并不一致,即使在占据水柱相似垂直位置的物种之间也是如此。当将这些表型-环境关系投影到未来的水流条件下时,预计物种的所有种群不会在其分布范围内均匀响应,除了一个物种之外,所有物种的预测形态都超出了当前形态变异的范围。这些发现表明,局部适应和环境变化的空间异质性相互作用,影响了物种和种群水平对气候变化的预期表型响应程度的变化。