Meng Lei, Zhou Lizhi
School of Resources and Environmental Engineering Anhui University Hefei China.
Anhui Biodiversity Information Center Anhui University Hefei China.
Ecol Evol. 2023 Feb 7;13(2):e9798. doi: 10.1002/ece3.9798. eCollection 2023 Feb.
Spatial patterns and determinants of species richness in complex geographical regions are important subjects of current biogeography and biodiversity conservation research. Glires are small herbivorous mammal species with limited migratory ability that may serve as an indicator of biodiversity and ecosystems. Herein, we aimed to evaluate how multiple ecological hypotheses could explain the species richness patterns of glires in China. Initially, we constructed a mapping grid cell operating units of 80 × 80 km which covered China's land mass and mapped the distribution ranges of the 237 glires species that had recorded. The glires taxa were separated into three response variables based on their distribution: (a) all species, (b) nonendemic species, and (c) endemic species. The species richness patterns of the response variables were evaluated using four predictor sets: (a) hydrothermal characteristics, (b) climatic seasonality, (c) habitat heterogeneity, and (d) human factors. We performed regression tree analysis, multiple linear regression analysis, and variation partitioning analyses to determine the effects of predictors on spatial species patterns. The results showed that the distribution pattern of species richness was the highest in the Hengduan Mountains and surrounding areas in southwest China. However, only a few endemic species adapted to high-latitude environments. It was found that there are differences about the determinants between nonendemic and endemic species. Habitat heterogeneity was the most influential determinant for the distribution patterns of nonendemic species richness. Climatic seasonality was the best predictor to determine the richness distribution pattern of endemic species, whereas this was least affected by human factors. Furthermore, it should be noted that hydrothermal characteristics were not strong predictors of richness patterns for all or nonendemic species, which may be due to the fact that there are also more species in some areas with less precipitation or energy. Therefore, glires are likely to persist in areas with characteristics of high habitat heterogeneity and stable climate.
复杂地理区域中物种丰富度的空间格局和决定因素是当前生物地理学和生物多样性保护研究的重要课题。啮齿目和兔形目动物是小型食草哺乳动物,迁徙能力有限,可作为生物多样性和生态系统的指标。在此,我们旨在评估多种生态假说如何解释中国啮齿目和兔形目动物的物种丰富度格局。最初,我们构建了一个覆盖中国陆地面积的80×80千米的地图网格单元操作单元,并绘制了已记录的237种啮齿目和兔形目动物的分布范围。根据其分布情况,将啮齿目和兔形目动物分类群分为三个响应变量:(a) 所有物种,(b) 非特有物种,(c) 特有物种。使用四个预测变量集评估响应变量的物种丰富度格局:(a) 水热特征,(b) 气候季节性,(c) 栖息地异质性,(d) 人为因素。我们进行了回归树分析、多元线性回归分析和变异分解分析,以确定预测变量对空间物种格局的影响。结果表明,物种丰富度的分布格局在中国西南部的横断山脉及其周边地区最高。然而,只有少数特有物种适应高纬度环境。研究发现,非特有物种和特有物种在决定因素方面存在差异。栖息地异质性是影响非特有物种丰富度分布格局的最主要决定因素。气候季节性是决定特有物种丰富度分布格局的最佳预测变量,而特有物种受人为因素的影响最小。此外,值得注意的是,水热特征并非所有物种或非特有物种丰富度格局的强预测变量,这可能是因为在一些降水量或能量较少的地区也有较多物种。因此,啮齿目和兔形目动物可能在栖息地异质性高且气候稳定的地区生存。