Qian Hong, Kessler Michael, Vetaas Ole R
Research and Collections Center Illinois State Museum Springfield Illinois USA.
Department of Systematic Botany University of Zurich Zurich Switzerland.
Ecol Evol. 2022 May 24;12(5):e8958. doi: 10.1002/ece3.8958. eCollection 2022 May.
There is a consensus that climate factors strongly influence species richness along elevation gradients, but which factors are crucial and how they operate are still elusive. Here, we assess the relative importance of temperature-related versus precipitation-related variables and the relative importance of extreme climate versus climate seasonality in driving pteridophyte species richness. We used correlation and regression analyses to relate species richness of pteridophytes, and their two major groups (lycophytes, ferns), in fifty 100-m vertical bands to climatic factors representing different aspects of climatic conditions (general climate, stressful climate, and climate seasonality). Variation partitioning analysis was used to determine the relative importance of each group of climatic factors on species richness. Across the entire elevational gradient, species richness had a parabolic response to mean annual temperature (adjusted = .87-.91), and a linear response to annual precipitation (adjusted = .82). Mean annual temperature and annual precipitation in the second-order polynomial model together explained 96.3%-98.7% of the variation in species richness. The variation in species richness uniquely explained by minimum temperature of the coldest month was much greater than that uniquely explained by temperature seasonality, but the variation in species richness uniquely explained by precipitation during the driest month was much smaller than that uniquely explained by precipitation seasonality. Overall, extreme climate variables explained slightly more variation than did climate seasonality. Our study suggests that pteridophyte richness along the elevational gradient is largely driven by a combination of both temperature- and precipitation-related parameters, although precipitation-related variables play a slightly stronger role, and that extreme low temperature events (at high elevations) and seasonal precipitation variability (at low elevations) are the strongest determinants of pteridophyte species richness.
人们普遍认为,气候因素强烈影响着沿海拔梯度的物种丰富度,但哪些因素至关重要以及它们如何起作用仍不清楚。在这里,我们评估了与温度相关的变量和与降水相关的变量的相对重要性,以及极端气候与气候季节性在驱动蕨类植物物种丰富度方面的相对重要性。我们使用相关性和回归分析,将五十个100米垂直带中的蕨类植物及其两个主要类群(石松类、蕨类)的物种丰富度与代表气候条件不同方面的气候因素(一般气候、胁迫气候和气候季节性)联系起来。变异分解分析用于确定每组气候因素对物种丰富度的相对重要性。在整个海拔梯度上,物种丰富度对年平均温度呈抛物线响应(调整 = 0.87 - 0.91),对年降水量呈线性响应(调整 = 0.82)。二阶多项式模型中的年平均温度和年降水量共同解释了物种丰富度变化的96.3% - 98.7%。最冷月份的最低温度唯一解释的物种丰富度变化远大于温度季节性唯一解释的变化,但最干燥月份的降水量唯一解释的物种丰富度变化远小于降水季节性唯一解释的变化。总体而言,极端气候变量解释的变异略多于气候季节性。我们的研究表明,沿海拔梯度的蕨类植物丰富度在很大程度上是由与温度和降水相关的参数共同驱动的,尽管与降水相关的变量作用稍强,而且极端低温事件(在高海拔地区)和季节性降水变率(在低海拔地区)是蕨类植物物种丰富度的最强决定因素。