enviroSPACE Group, Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Institute for Environmental Sciences, Geneva, Switzerland.
Eawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland.
Glob Chang Biol. 2021 Aug;27(15):3565-3581. doi: 10.1111/gcb.15637. Epub 2021 May 20.
Freshwater biodiversity loss is a major concern, and global warming is already playing a significant role in species extinctions. Our main goal was to predict climate change impacts on aquatic insect species distribution and richness in Swiss running waters according to two climate change scenarios (RCP2.6 and RCP8.5), using different modeling approaches, that is, species distribution models (SDMs), stacked-SDMs (S-SDMs) and a macroecological model (MEM). We analyzed 10,808 reaches, used as spatial units for model predictions, for a total river network length of 20,610 km. Results were assessed at both the countrywide and the biogeographic regional scales. We used incidence data of 41 species of Ephemeroptera, Plecoptera and Trichoptera (EPT) from 259 sites distributed across Switzerland. We integrated a coupled model for hydrology and glacier retreat to simulate monthly time-step discharge from which we derived hydrological variables. These, along with thermal, land-cover, topographic and spatially explicit data, served as predictors for our ecological models. Predictions of occurrence probabilities and EPT richness were compared among the different regions, periods and scenarios. A Shiny web application was developed to interactively explore all the models' details, to ensure transparency and promote the sharing of information. MEM and S-SDMs approaches consistently showed that overall, climate change is likely to reduce EPT richness. Decrease could be around 10% in the least conservative scenario, depending on the region. Global warming was shown to represent a threat to species from high elevation, but in terms of species richness, running waters from lowlands and medium elevation seemed more vulnerable. Finally, our results suggested that the effects of anthropogenic activities could overweight natural factors in shaping the future of river biodiversity.
淡水生物多样性的丧失是一个主要问题,而全球变暖已经在物种灭绝方面发挥了重要作用。我们的主要目标是根据两种气候变化情景(RCP2.6 和 RCP8.5),使用不同的建模方法,即物种分布模型(SDM)、堆叠 SDM(S-SDM)和宏观生态模型(MEM),预测气候变化对瑞士流水昆虫物种分布和丰富度的影响。我们分析了 10808 个河段,作为模型预测的空间单元,总河道长度为 20610 公里。结果在全国和生物地理区域尺度上进行了评估。我们使用了来自瑞士 259 个地点的 41 种蜉蝣目、石蝇目和毛翅目(EPT)物种的发病数据。我们整合了一个水文和冰川退缩的耦合模型,以模拟每月时间步长的流量,从中我们得出了水文变量。这些与热、土地覆盖、地形和空间显式数据一起作为我们生态模型的预测因子。我们比较了不同地区、时期和情景下的出现概率和 EPT 丰富度预测。开发了一个闪亮的网络应用程序,以便在不同的模型细节之间进行交互探索,以确保透明度并促进信息共享。MEM 和 S-SDM 方法一致表明,总体而言,气候变化可能会降低 EPT 的丰富度。在最保守的情景下,根据不同的地区,减少量可能在 10%左右。研究表明,全球变暖对高海拔地区的物种构成威胁,但就物种丰富度而言,低地和中海拔地区的流水似乎更为脆弱。最后,我们的研究结果表明,人为活动的影响可能会超过自然因素,对未来的河流生物多样性产生影响。