论文标题
作为联合物种分布模型的饱和成对相互作用吉布斯点过程
The saturated pairwise interaction Gibbs point process as a joint species distribution model
论文作者
论文摘要
为了在自然界中有效地在多种物种个体的空间配置中有效地模拟了观察到的模式，我们引入了饱和的成对相互作用Gibbs点过程。 它的主要优势在于它在物种内部和物种之间（不同尺度）内和物种之间对吸引和排斥建模的能力。 因此，它特别适合研究复杂生态系统中的关联。 基于现有文献，我们提供了易于实现的拟合过程，以及对模型参数进行推断的技术。 我们还证明，在某些假设下，点过程是局部稳定的，这使我们能够使用众所周知的“耦合”算法从模型中绘制样品。 不同的数值实验显示了模型的鲁棒性。 我们研究了三个不同的生态数据集，在每个数据集中都证明了我们的模型有助于消除对物种分布的竞争生态影响。
In an effort to effectively model observed patterns in the spatial configuration of individuals of multiple species in nature, we introduce the saturated pairwise interaction Gibbs point process. Its main strength lies in its ability to model both attraction and repulsion within and between species, over different scales. As such, it is particularly well-suited to the study of associations in complex ecosystems. Based on the existing literature, we provide an easy to implement fitting procedure as well as a technique to make inference for the model parameters. We also prove that under certain hypotheses the point process is locally stable, which allows us to use the well-known `coupling from the past' algorithm to draw samples from the model. Different numerical experiments show the robustness of the model. We study three different ecological datasets, demonstrating in each one that our model helps disentangle competing ecological effects on species' distribution.
