Petrosyan Varos, Dinets Vladimir, Osipov Fedor, Dergunova Natalia, Khlyap Lyudmila
A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Moscow 119071, Russia.
Psychology Department, University of Tennessee, Knoxville, TN 37996, USA.
Biology (Basel). 2023 Jul 22;12(7):1034. doi: 10.3390/biology12071034.
The striped field mouse ( Pallas, 1771) is a widespread species in Northern Eurasia. It damages crops and carries zoonotic pathogens. Its current and future range expansion under climate change may negatively affect public health and the economy, warranting further research to understand the ecological and invasive characteristics of the species. In our study, we used seven algorithms (GLM, GAM, GBS, FDA, RF, ANN, and MaxEnt) to develop robust ensemble species distribution models (eSDMs) under current (1970-2000) and future climate conditions derived from global circulation models (GCMs) for 2021-2040, 2041-2060, 2061-2080, and 2081-2100. Simulation of climate change included high-, medium-, and low-sensitivity GCMs under four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). We analyzed the habitat suitability across GCMs and scenarios by constructing geographical ranges and calculating their centroids. The results showed that the range changes depended on both the sensitivity of GCMs and scenario. The main trends were range expansion to the northeast and partial loss of habitat in the steppe area. The striped field mouse may form a continuous range from Central Europe to East Asia, closing the range gap that has existed for 12 thousand years. We present 49 eSDMs for the current and future distribution of (for 2000-2100) with quantitative metrics (gain, loss, change) of the range dynamics under global climate change. The most important predictor variables determining eSDMs are mean annual temperature, mean diurnal range of temperatures, the highest temperature of the warmest month, annual precipitation, and precipitation in the coldest month. These findings could help limit the population of the striped field mouse and predict distribution of the species under global climate change.
条纹田鼠(帕拉斯,1771年)是欧亚大陆北部一种分布广泛的物种。它会损害农作物并携带人畜共患病原体。在气候变化条件下,其当前和未来的分布范围扩大可能会对公众健康和经济产生负面影响,因此有必要进一步开展研究,以了解该物种的生态和入侵特性。在我们的研究中,我们使用了七种算法(广义线性模型、广义相加模型、地理信息系统、因子判别分析、随机森林、人工神经网络和最大熵模型),根据全球气候模型得出的当前(1970 - 2000年)和未来气候条件(2021 - 2040年、2041 - 2060年、2061 - 2080年和2081 - 2100年),构建稳健的集合物种分布模型。气候变化模拟包括在四种情景(共享社会经济路径1 - 2.6、共享社会经济路径2 - 4.5、共享社会经济路径3 - 7.0和共享社会经济路径5 - 8.5)下的高、中、低敏感性全球气候模型。我们通过构建地理范围并计算其质心,分析了不同全球气候模型和情景下的栖息地适宜性。结果表明,范围变化取决于全球气候模型的敏感性和情景。主要趋势是向东北方向范围扩大,草原地区部分栖息地丧失。条纹田鼠可能会形成从中欧到东亚的连续分布范围,填补已经存在了一万二千年的分布范围空白。我们给出了49个当前和未来(2000 - 2100年)分布的集合物种分布模型,并给出了全球气候变化下范围动态的定量指标(增加、减少、变化)。决定集合物种分布模型的最重要预测变量是年平均温度、日平均温度范围、最暖月最高温度、年降水量和最冷月降水量。这些发现有助于控制条纹田鼠的种群数量,并预测该物种在全球气候变化下的分布情况。