Species distribution modeling is a primary ecological activity that has witnessed substantial evolution since the turn of the 21st century. For plant communities, two key features are the move from individual to joint species modeling and the move from regression modeling assuming independence across sites to the introduction of spatial structure across sites. The latter transition has also illuminated the distinction between presence/absence data modeled in the form of Bernoulli trials and presence-only data modeled as a spatial point pattern. The contribution here is to review a portion of this rapidly growing literature, emphasizing the role of spatial statistics in the interplay between ecological process needs and stochastic modeling tools.

物种分布建模是一项主要的生态活动，自 21 世纪之交以来见证了实质性的演变。对于植物群落，两个关键特征是从个体物种建模到联合物种建模的转变，以及从假设跨站点独立性的回归建模到跨站点引入空间结构的转变。后一种转变也阐明了以伯努利试验形式建模的存在/不存在数据与建模为空间点模式的仅存在数据之间的区别。这里的贡献是回顾这些快速增长的文献的一部分，强调空间统计在生态过程需求和随机建模工具之间相互作用中的作用。