Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Scale dependence of ecological assembly rules: Insights from empirical datasets and joint species distribution modelling
Journal of Ecology ( IF 5.3 ) Pub Date : 2020-05-23 , DOI: 10.1111/1365-2745.13434 Heidi K. Mod 1, 2 , Mathieu Chevalier 1 , Miska Luoto 2 , Antoine Guisan 1, 3
中文翻译：
生态装配规则的尺度依赖性：来自经验数据集和联合物种分布模型的见解
更新日期：2020-05-23
Journal of Ecology ( IF 5.3 ) Pub Date : 2020-05-23 , DOI: 10.1111/1365-2745.13434 Heidi K. Mod 1, 2 , Mathieu Chevalier 1 , Miska Luoto 2 , Antoine Guisan 1, 3
Affiliation
|
- A comprehensive understanding of the scale dependency of environmental filtering and biotic interactions influencing the local assembly of species is paramount to derive realistic forecasts of the future of biodiversity and efficiently manage ecological communities. A classical assumption is that environmental filters are more prevalent at coarser scales with diminishing effects towards the finest scales where biotic interactions become more decisive. Recently, a refinement was proposed stipulating that the scale dependency of biotic interactions should relate to the type of interaction. Specifically, the effect of negative interactions (e.g. competition) should diminish with coarsening scale, whereas positive interactions (i.e. facilitation) should be detected irrespective of the scale.
- We use multiple vascular plant species datasets sampled at nested spatial scales (plot size varying from 0.04 to 64 m2) and recently developed joint species distribution models to test the hypotheses.
- Our analyses indicate slightly stronger environmental filtering with increasing plot size. While the overall strength of biotic interactions did not vary consistently across scales, we found a tendency for negative interactions to fade away with increasing plot size slightly more than positive interactions.
- Synthesis. We provide partial, but not unambiguous, evidence of the scale dependency of ecological assembly rules. However, our correlative methodology only allows us to interpret the findings as indication of environmental filtering and biotic interactions.
中文翻译：
生态装配规则的尺度依赖性：来自经验数据集和联合物种分布模型的见解
- 全面了解影响物种本地聚集的环境过滤和生物相互作用的规模依赖性对于获得对生物多样性未来的现实预测并有效管理生态社区至关重要。一个经典的假设是，环境过滤器在较粗的尺度上更为普遍，而对生物相互作用变得更具决定性的最细尺度的影响则逐渐减小。最近，有人提出了一种改进方法，规定生物相互作用的规模依赖性应与相互作用的类型有关。具体而言，负面影响（例如竞争）的影响应随着规模的扩大而减小，而正面影响（即促进）的影响应与规模无关。
- 我们使用以嵌套空间尺度（地块大小从0.04到64 m 2）采样的多个维管植物物种数据集，并使用最近开发的联合物种分布模型来检验假设。
- 我们的分析表明，随着地块面积的增加，环境过滤效果会略强一些。虽然生物相互作用的总体强度在各个尺度上均不一致，但我们发现，随着地块面积的增加，负向相互作用逐渐消失的趋势略大于正向相互作用。
- 综合。我们提供了生态集会规则的规模依赖性的部分但并非明确的证据。但是，我们的相关方法仅允许我们将这些发现解释为环境过滤和生物相互作用的指示。
京公网安备 11010802027423号