Mechanisms of community assembly explaining beta‐diversity patterns across biogeographic regions
Mechanisms of community assembly explaining beta‐diversity patterns across biogeographic regions
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DOI：
10.1111/jvs.13032
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发表时间：
2021-04
影响因子：
2.8
通讯作者：
Miguel Muñoz Mazón;J. Tello;M. Macía;J. Myers;P. M. Jørgensen;V. Cala;A. Fuentes;Vania Torrez;G. Arellano
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作者：
Miguel Muñoz Mazón;J. Tello;M. Macía;J. Myers;P. M. Jørgensen;V. Cala;A. Fuentes;Vania Torrez;G. Arellano
目的：我们研究了树木β多样性在四个地理区域的对比环境条件，纬度和多样性。我们测试了：（a）物种库对β多样性的影响;（B）基于生态位的组装和基于扩散的组装对β多样性的相对贡献;（c）在具有不同生产力和物种丰富度的地区，这两种组装机制的重要性的差异。所在地：马迪迪地区（玻利维亚）的低地和山地热带森林，欧扎克（美国）的低地温带森林和坎塔布里亚山脉（西班牙）的山地温带森林。研究方法：我们调查了直径≥2.5 cm的木本植物，按照标准化协议，在236个0.1公顷的森林样地在四个不同的地理区域。我们估计了每个区域的物种库，并使用它来重建完全由物种库确定的零社区。观察到的β多样性模式小于或大于零预期的β多样性模式意味着存在超出物种库影响的局部组装机制。我们使用变分分析来比较基于生态位和基于扩散的组装对观测到的β多样性模式的贡献，以及它们在四个区域之间与零模型的偏差。结果：（a）单独的物种库的差异并不能解释在地理区域之间观察到的β多样性差异。(b)在3/4的地区，环境比空间变量解释更多的β多样性的变化。(c)空间变量解释了更多的β多样性在更多样化和更具生产力的地区，更稀有的物种（热带和低海拔地区）相比，多样性和生产力较低的地区（温带和高海拔地区）。(d)更大的α或γ多样性并没有导致更高的β多样性或与环境的更强的相关性。β影响和空间的相对贡献
Aim: We examined tree beta diversity in four biogeographical regions with contrast ing environmental conditions, latitude, and diversity. We tested: (a) the influence of the species pool on beta diversity; (b) the relative contribution of niche- based and dispersal- based assembly to beta diversity; and (c) differences in the importance of these two assembly mechanisms in regions with differing productivity and species richness. Location: Lowland and montane tropical forests in the Madidi region (Bolivia), lowland temperate forests in the Ozarks (USA), and montane temperate forests in the Cantabrian Mountains (Spain). Methods: We surveyed woody plants with a diameter ≥2.5 cm following a standardized protocol in 236 0.1- ha forest plots in four different biogeographical regions. We estimated the species pool at each region and used it to recreate null communities de termined entirely by the species pool. Observed patterns of beta diversity smaller or greater than the null- expected patterns of beta diversity implies the presence of local assembly mechanisms beyond the influence of the species pool. We used variation-partitioning analyses to compare the contribution of niche- based and dispersal- based assembly to patterns of observed beta diversity and their deviations from null models among the four regions. Results: (a) Differences in species pools alone did not explain observed differences in beta diversity among biogeographic regions. (b) In 3/4 regions, the environment explained more of the variation in beta diversity than spatial variables. (c) Spatial variables explained more of the beta diversity in more diverse and more productive regions with more rare species (tropical and lower- elevation regions) compared to less diverse and less productive regions (temperate and higher- elevation regions). (d) Greater alpha or gamma diversity did not result in higher beta diversity or stronger correlations with the environment. beta influence the relative contribution of and spatial