Abstract
Introduced ecosystem engineers can severely modify the functioning on invaded systems. Species-level effects on ecosystem functioning (EF) are context dependent, but the effects of introduced ecosystem engineers are frequently assessed through single-location studies. The present work aimed to identify sources of context-dependence that can regulate the impacts of invasive ecosystem engineers on ecosystem functioning. As model systems, four locations where the bivalve Ruditapes philippinarum (Adams and Reeve) has been introduced were investigated, providing variability in habitat characteristics and community composition. As a measure of ecosystem engineering, the relative contribution of this species to community bioturbation potential was quantified at each site. The relevance of bioturbation to the local establishment of the mixing depth of marine sediments (used as a proxy for EF) was quantified in order to determine the potential for impact of the introduced species at each site. We found that R. philippinarum is one of the most important bioturbators within analysed communities, but the relative importance of this contribution at the community level depended on local species composition. The net contribution of bioturbation to the establishment of sediment mixing depths varied across sites depending on the presence of structuring vegetation, sediment granulometry and compaction. The effects of vegetation on sediment mixing were previously unreported. These findings indicate that the species composition of invaded communities, and the habitat characteristics of invaded systems, are important modulators of the impacts of introduced species on ecosystem functioning. A framework that encompasses these aspects for the prediction of the functional impacts of invasive ecosystem engineers is suggested, supporting a multi-site approach to invasive ecology studies concerned with ecosystem functioning.
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Acknowledgments
This project was funded by the Foundation for Science and Technology (Ministry of Science, Technology and Higher Education, Portugal), under contract BD/SFRH/21338/2005. The authors thank Dr. Jean-Paul Dreno, Dr. Isabelle Auby and Dr. Martin Plús at the Institut Français de Recherche pour l’Exploitation de la Mer (Arcachon, France), Dr.Saša Raicevich and Dr. Otello Giovanardi at the Istituto Centrale per la Ricerca Acientifica e Tecnologica Applicata al Mare (Chioggia, Italy), and the Instituto para a Conservação da Natureza (Portugal), for all the kind work and facilities made available. The authors also thank Augusto da Paz at the Cooperativa de Viveiristas da Ria Formosa for support provided during field work in Portugal. Dr. Camille Saurel and Vasco Cândido are kindly thanked for all the help provided with field work. The authors thank Martin Solan, the editor and two anonymous referees for constructive comments on an earlier version of the manuscript.
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See Table 4.
Sediment profile image analysis: estimation of mixing depth
Each image was analysed as follows: (1) image was split into Red–Green–Blue layers, of which only the red layer was used subsequently, as it produced the best contrast between the oxidized and the reduced sediment fractions; (2) the sediment–water interface was eliminated from analysis by manually drawing a polygon over this area which was defined as background, (3) the picture was converted into a binary image (foregroung/background) using a pixel intensity threshold, such that the oxidized sediment layer is defined as foreground; (4) the area defined as foreground was measured and divided by the width of the picture to produce the mean depth of the Fe redox transition, i.e., mixing depth (cm). Differences in sediment colour between study-sites may affect the estimation of this parameter. For this reason, we developed a standardization procedure to define the threshold within each study-site that minimized mixing depth estimation errors within site, and made the data comparable between sites. The procedure consisted of the following for each dataset: (1) intensity threshold was defined manually for each picture to optimize the contrast between oxidized and reduced sediment fractions; (2) ten pictures were selected to cover the observed threshold range; (3) of those, five thresholds were selected to estimate mixing depth (as described) for each of the ten pictures, covering the observed threshold range, so that five estimates were obtained for each picture; (4) all threshold values were plotted against mixing depth estimates for each picture; (5) standard threshold intensity was defined, per area, within the range for which mixing depth estimates varied the least for the maximum number of pictures.
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de Moura Queirós, A., Hiddink, J.G., Johnson, G. et al. Context dependence of marine ecosystem engineer invasion impacts on benthic ecosystem functioning. Biol Invasions 13, 1059–1075 (2011). https://doi.org/10.1007/s10530-011-9948-3
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DOI: https://doi.org/10.1007/s10530-011-9948-3