Minorta-Cely Vladimir, Niño Larry, Rangel Orlando, Sánchez-Mata Daniel
Biology Program and Natural Sciences Services, Central University, Bogotá D.C. 111711, Colombia.
Natural Science Institute, National University of Colombia, Bogotá D.C. 111321, Colombia.
Plants (Basel). 2024 Dec 19;13(24):3545. doi: 10.3390/plants13243545.
The relationships between environmental characteristics and species richness in the grasslands of the Colombian Orinoquia are presented and analyzed using an ordinal logistic regression model. Ordinal and scale covariates were included, and their bivariate significance was assessed using Spearman's rho and Kendall's Tau-b. The covariates that showed statistical significance with the weighted richness thresholds (WRT) and defined the model were the soil depth and the soil moisture regime, both of which had positive correlations. In contrast, the percentage of bare soil and the monthly minimum temperature showed negative correlations. This contribution highlights the relevance of articulating and combining the floristic and phytosociological characterization of grassland vegetation to advance the predictive studies aimed at defining and understanding the potential divergent relationships between the vegetation and the basic attributes of the natural environment, along with their implications for conservation.
利用有序逻辑回归模型呈现并分析了哥伦比亚奥里诺科草原的环境特征与物种丰富度之间的关系。纳入了有序和尺度协变量,并使用斯皮尔曼等级相关系数和肯德尔一致性系数评估了它们的双变量显著性。与加权丰富度阈值(WRT)具有统计学显著性并定义该模型的协变量是土壤深度和土壤水分状况,二者均呈正相关。相比之下,裸土百分比和月最低温度呈负相关。这一贡献突出了阐明和结合草地植被的植物区系和植物社会学特征对于推进预测性研究的相关性,这些研究旨在界定和理解植被与自然环境基本属性之间潜在的不同关系及其对保护的影响。