Zhang Vicki Mengyuan, Punzalan David, Rowe Locke
Department of Ecology and Evolutionary Biology University of Toronto Toronto ON Canada.
Department of Biology University of Toronto Mississauga ON Canada.
Ecol Evol. 2020 Oct 15;10(21):12036-12048. doi: 10.1002/ece3.6820. eCollection 2020 Nov.
A universal attribute of species is that their distributions are limited by numerous factors that may be difficult to quantify. Furthermore, climate change-induced range shifts have been reported in many taxa, and understanding the implications of these shifts remains a priority and a challenge. Here, we use Maxent to predict current suitable habitat and to project future distributions of two closely related, parapatrically distributed species in light of anthropogenic climate change.
North America.
Melin 1930 and Handlirsch 1897, Family: , Order: Hemiptera.
We used the maximum entropy modeling software Maxent to identify environmental variables maintaining the distribution of two species, and . Species occurrence data were collected from museum databases, and environmental data were collected from WorldClim. Once we gathered distribution maps for both species, we created binary suitability maps of current distributions. To predict future distributions in 2050 and 2070, the same environmental variables were used, this time under four different representative concentration pathways: RCP2.6, RCP4.5, RCP6.0, and RCP8.5; as well, binary suitability maps of future distributions were also created. To visualize potential future hybridization, the degree of overlap between the two species was calculated.
The strongest predictor to ranges was the mean temperature of the warmest quarter, while precipitation of the driest month and mean temperature of the warmest quarter were strong predictors of ranges. Future ranges for are predicted to increase northwestward at higher CO concentrations. Suitable ranges for are predicted to decrease with slight fluctuations around range edges. There is an increase in overlapping ranges of the two species in all future predictions.
These evidences for different environmental requirements for and account for their distinct ranges. Because these species are ecologically similar and can hybridize, climate change has potentially important eco-evolutionary ramifications. Overall, our results are consistent with effects of climate change that are highly variable across species, geographic regions, and over time.
物种的一个普遍特征是其分布受到众多可能难以量化的因素限制。此外,许多分类群中都报道了气候变化导致的分布范围变化,而了解这些变化的影响仍然是一个优先事项和挑战。在此,我们使用最大熵模型(Maxent)来预测当前适宜栖息地,并根据人为气候变化预测两个近缘、邻域分布物种的未来分布。
北美洲。
梅利恩1930年和汉德利希1897年,科:,目:半翅目。
我们使用最大熵建模软件Maxent来识别维持两个物种分布的环境变量。物种出现数据从博物馆数据库收集,环境数据从世界气候数据库收集。一旦我们收集到两个物种的分布图,就创建了当前分布的二元适宜性图。为了预测2050年和2070年的未来分布,使用相同的环境变量,这次是在四种不同的代表性浓度路径下:RCP2.6、RCP4.5、RCP6.0和RCP8.5;此外,还创建了未来分布的二元适宜性图。为了可视化潜在的未来杂交情况,计算了两个物种之间的重叠程度。
对[物种名称1]分布范围影响最强的预测因子是最暖季度的平均温度,而最干月降水量和最暖季度平均温度是[物种名称2]分布范围的强预测因子。预计在较高二氧化碳浓度下,[物种名称1]的未来分布范围将向西北方向扩大。预计[物种名称2]的适宜分布范围将缩小,范围边缘有轻微波动。在所有未来预测中,两个物种的重叠分布范围都有所增加。
这些关于[物种名称1]和[物种名称2]不同环境需求的证据解释了它们不同的分布范围。由于这些物种在生态上相似且能够杂交,气候变化具有潜在的重要生态进化影响。总体而言,我们的结果与气候变化的影响一致,这些影响在物种、地理区域和时间上高度可变。