Department of Forestry, Michigan State University, East Lansing, Michigan, 48824, USA.
Ecology, Evolutionary Biology, and Behavior Program, Michigan State University, East Lansing, Michigan, 48824, USA.
Ecology. 2018 May;99(5):1018-1023. doi: 10.1002/ecy.2190. Epub 2018 Apr 2.
A species' distribution and abundance are determined by abiotic conditions and biotic interactions with other species in the community. Most species distribution models correlate the occurrence of a single species with environmental variables only, and leave out biotic interactions. To test the importance of biotic interactions on occurrence and abundance, we compared a multivariate spatiotemporal model of the joint abundance of two invasive insects that share a host plant, hemlock woolly adelgid (HWA; Adelges tsugae) and elongate hemlock scale (EHS; Fiorina externa), to independent models that do not account for dependence among co-occurring species. The joint model revealed that HWA responded more strongly to abiotic conditions than EHS. Additionally, HWA appeared to predispose stands to subsequent increase of EHS, but HWA abundance was not strongly dependent on EHS abundance. This study demonstrates how incorporating spatial and temporal dependence into a species distribution model can reveal the dependence of a species' abundance on other species in the community. Accounting for dependence among co-occurring species with a joint distribution model can also improve estimation of the abiotic niche for species affected by interspecific interactions.
一个物种的分布和丰度是由非生物条件和与群落中其他物种的生物相互作用决定的。大多数物种分布模型仅将单一物种的出现与环境变量相关联，而忽略了生物相互作用。为了测试生物相互作用对出现和丰度的重要性，我们比较了两种入侵昆虫（共享宿主植物的铁杉羊毛衣鱼（HWA； Adelges tsugae）和细长铁杉鳞片（EHS； Fiorina externa）的联合丰度的多维时空模型与不考虑共存物种之间依赖性的独立模型。联合模型表明，HWA 对非生物条件的反应比对 EHS 的反应更强烈。此外，HWA 似乎使林分容易受到随后 EHS 增加的影响，但 HWA 的丰度并不强烈依赖于 EHS 的丰度。本研究表明，如何将空间和时间依赖性纳入物种分布模型可以揭示一个物种的丰度对群落中其他物种的依赖性。通过联合分布模型考虑共存物种之间的依赖性也可以改善受种间相互作用影响的物种的非生物生态位的估计。
