Laeseke, Philipp, Schiller, Jessica, Letschert, Jonas and Llanos, Sara Doolittle (2020) Theories, Vectors, and Computer Models: Marine Invasion Science in the Anthropocene. In: YOUMARES 9 - The Oceans: Our Research, Our Future. . Springer, Switzerland, pp. 195-209. DOI https://doi.org/10.1007/978-3-030-20389-4_10.

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Abstract

Marine invasions are well-recognized as a worldwide threat to biodiversity and cause for tremendous economic damage. Fundamental aspects in invasion ecology are not yet fully understood, as there is neither a clear definition of invasive species nor their characteristics. Likewise, regulations to tackle marine invasions are fragmentary and either restricted to specific regions or certain aspects of the invasion process. Nonetheless, marine anthropogenic vectors (e.g., vessel fouling, ballast water, aquaculture, marine static structures, floating debris, and human-mediated climate change) are well described. The most important distribution vector for marine non-indigenous species is the shipping sector, composed by vessel fouling and ballast water discharge. Ship traffic is a constantly growing sector, as not only ship sizes are increasing, but also remote environments such as the polar regions are becoming accessible for commercial use. To mitigate invasions, it is necessary to evaluate species’ capability to invade a certain habitat, as well as the risk of a region of becoming invaded. On an ecological level, this may be achieved by Ecological Niche Modelling based on environmental data. In combination with quantitative vector data, sophisticated species distribution models may be developed. Especially the ever-increasing amount of available data allows for comprehensive modelling approaches to predict marine invasions and provide valuable information for policy makers. For this article, we reviewed available literature to provide brief insights into the backgrounds and regulations of major marine vectors, as well as species distribution modelling. Finally, we present some state-of-the-art modelling approaches based on ecological and vector data, beneficial for realistic risk assessments.

Document Type: Book chapter
Programme Area (enter as: PA1/PA2/PA3/PA4/PA5): PA1
Research affiliation: Social Sciences > Development and Knowledge Sociology
DOI etc.: https://doi.org/10.1007/978-3-030-20389-4_10
Date Deposited: 05 Aug 2021 14:30
Last Modified: 05 Aug 2021 14:30
URI: http://cris.leibniz-zmt.de/id/eprint/4687

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