Goedknegt M Anouk, Nauta Reinier, Markovic Mirjana, Buschbaum Christian, Folmer Eelke O, Luttikhuizen Pieternella C, van der Meer Jaap, Waser Andreas M, Wegner K Mathias, Thieltges David W
Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University, P.O. Box 59, 1790 AB, Den Burg, Texel, The Netherlands.
Biosciences | Coastal Ecology, Alfred Wegener Institute, Wadden Sea Station Sylt, Hafenstraße 43, 25992, List, Sylt, Germany.
Oecologia. 2019 May;190(1):99-113. doi: 10.1007/s00442-019-04408-x. Epub 2019 May 10.
There are surprisingly few field studies on the role of invasive species on parasite infection patterns in native hosts. We investigated the role of invasive Pacific oysters (Magallana gigas) in determining parasite infection levels in native blue mussels (Mytilus edulis) in relation to other environmental and biotic factors. Using hierarchical field sampling covering three spatial scales along a large intertidal ecosystem (European Wadden Sea), we found strong spatial differences in infection levels of five parasite species associated with mussels and oysters. We applied mixed models to analyse the associations between parasite prevalence and abundance in mussels and oysters, and 12 biological and environmental factors. For each parasite-host relationship, an optimal model (either a null, one-factor or two-factor model) was selected based on AIC scores. We found that the density of invasive oysters contributed to three of the 12 models. Other biological factors such as host size (six models), and the density of target or alternative host species (five models) contributed more frequently to the best models. Furthermore, for parasite species infecting both mussels and oysters, parasite population densities were higher in native mussels, attributed to the higher densities of mussels. Our results indicate that invasive species can affect parasite infection patterns in native species in the field, but that their relative contribution may be further mediated by other biological and environmental parameters. These results stress the usefulness of large-scale field studies for detailed assessments of the mechanisms underlying the impacts of invasive species on native host communities.
关于入侵物种对本地宿主寄生虫感染模式的作用,实地研究出奇地少。我们调查了入侵的太平洋牡蛎(长巨牡蛎)在确定本地蓝贻贝(紫贻贝)寄生虫感染水平方面的作用,并将其与其他环境和生物因素进行关联分析。通过在一个大型潮间带生态系统(欧洲瓦登海)中进行涵盖三个空间尺度的分层实地采样,我们发现与贻贝和牡蛎相关的五种寄生虫的感染水平存在显著的空间差异。我们应用混合模型来分析贻贝和牡蛎中寄生虫患病率和丰度与12个生物和环境因素之间的关联。对于每一种寄生虫 - 宿主关系,根据AIC分数选择一个最优模型(零模型、单因素模型或双因素模型)。我们发现入侵牡蛎的密度在12个模型中的3个模型中起到了作用。其他生物因素,如宿主大小(6个模型)以及目标或替代宿主物种的密度(5个模型),在最优模型中出现得更为频繁。此外,对于同时感染贻贝和牡蛎的寄生虫物种,本地贻贝中的寄生虫种群密度更高,这归因于贻贝的密度更高。我们的结果表明,入侵物种可以在实地影响本地物种的寄生虫感染模式,但其相对贡献可能会受到其他生物和环境参数的进一步调节。这些结果强调了大规模实地研究对于详细评估入侵物种对本地宿主群落影响机制的有用性。