Silva-Souza Karla J P, Pivato Maíra G, Silva Vinícius C, Haidar Ricardo F, Souza Alexandre F
Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, RN, Brazil.
Curso de Engenharia Ambiental, Universidade Federal do Tocantins, TO, Brazil.
Plant Divers. 2022 Oct 8;45(4):369-384. doi: 10.1016/j.pld.2022.09.006. eCollection 2023 Jul.
Clear and data-driven bioregionalizations can provide a framework to test hypotheses and base biodiversity conservation. Here we used occurrence and abundance data in combination with objective analytical methods to propose two bioregionalization schemes for tree species of the Cerrado and the Pantanal in South America. We also evaluated the contribution of three sets of determinants of the occurrence- and abundance-based subregions. We compiled data on tree species composition from 894 local assemblages based on species occurrences, and from 658 local assemblages based on species abundances. We used an unconstrained community-level modelling approach and clustering techniques to identify and map tree subregions for the occurrence and the abundance data sets, separately. Hierarchical clustering analyses were conducted to investigate floristic affinities between the subregions and to map broader floristic regions. We used multinomial logistic regression models, deviance partitioning, and rank-sum tests to assess the main subregion correlates. We identified 18 occurrence- and four abundance-based subregions in the Cerrado-Pantanal. The hierarchical classifications grouped the occurrence-based subregions into nine floristic zones and abundance-based subregions into two broad floristic zones. Variation in subregions were explained mainly by environmental factors and spatial structure in both occurrence and abundance data sets. The occurrence- and abundance-based subregions are complementary approaches to disentangle macroecological patterns and to plan conservation efforts in the Cerrado and the Pantanal. Our findings based on occurrence data revealed more complex and interdigitated boundaries between subregions of tree species than previously reported. The environment, historical stability, and human effects act in a synergetic way on the distribution of the subregions. Finally, the relevance of contemporary environmental factors to the subregion patterns we found alert us to the profound impact global warming may have on the spatial organization of the Cerrado-Pantanal tree flora.
清晰且基于数据的生物区域划分可为检验假说和开展生物多样性保护提供框架。在此，我们结合物种出现情况和丰度数据以及客观分析方法，为南美洲塞拉多和潘塔纳尔湿地的树种提出了两种生物区域划分方案。我们还评估了基于物种出现情况和丰度的子区域的三组决定因素的贡献。我们根据物种出现情况从894个本地群落以及根据物种丰度从658个本地群落收集了树种组成数据。我们分别使用无约束的群落水平建模方法和聚类技术，针对物种出现情况和丰度数据集识别并绘制树木子区域。进行层次聚类分析以研究子区域之间的植物区系亲缘关系，并绘制更广泛的植物区系区域。我们使用多项逻辑回归模型、偏差分解和秩和检验来评估主要的子区域相关因素。我们在塞拉多 - 潘塔纳尔湿地确定了18个基于物种出现情况的子区域和4个基于物种丰度的子区域。层次分类将基于物种出现情况的子区域归为9个植物区系带，将基于物种丰度的子区域归为2个广泛的植物区系带。子区域的变化在物种出现情况和丰度数据集中主要由环境因素和空间结构来解释。基于物种出现情况和丰度的子区域是剖析宏观生态模式以及规划塞拉多和潘塔纳尔湿地保护工作的互补方法。我们基于物种出现情况数据的研究结果显示，树种子区域之间的边界比之前报道的更为复杂且相互交错。环境、历史稳定性和人类影响以协同方式作用于子区域的分布。最后，我们发现当代环境因素与子区域模式的相关性提醒我们，全球变暖可能会对塞拉多 - 潘塔纳尔湿地树木植物区系的空间组织产生深远影响。
