Predicting the distributions of marine organisms at the global scale

Ready, Jonathan, Kaschner, Kristin, South, Andy B., Eastwood, Paul D., Rees, Tony, Rius, Josephine, Agbayani, Eli, Kullander, Sven and Froese, Rainer (2010) Predicting the distributions of marine organisms at the global scale Ecological Modelling, 221 (3). pp. 467-478. DOI 10.1016/j.ecolmodel.2009.10.025.

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Abstract

We present and evaluate AquaMaps, a presence-only species distribution modelling system that allows the incorporation of expert knowledge about habitat usage and was designed for maximum output of standardized species range maps at the global scale. In the marine environment there is a significant challenge to the production of range maps due to large biases in the amount and location of occurrence data for most species. AquaMaps is compared with traditional presence-only species distribution modelling
methods to determine the quality of outputs under equivalently automated conditions. The effect of the inclusion of expert knowledge to AquaMaps is also investigated. Model outputs were tested internally, through data partitioning, and externally against independent survey data to determine the ability of models to predict presence versus absence. Models were also tested externally by assessing correlation with independent survey estimates of relative species abundance. AquaMaps outputs compare well to the existing methods tested, and inclusion of expert knowledge results in a general improvement in model outputs. The transparency, speed and adaptability of the AquaMaps system, as well as the existing online framework which allows expert review to compensate for sampling biases and thus improve model predictions are proposed as additional benefits for public and research use alike.
© 2009 Elsevier B.V. All rights reserved.

Document Type: Article
Keywords: Ecology; Marine Biology; Ichthyology; Species distribution modelling; Range maps; Global marine biodiversity; Trawl surveys; Expert review; Model comparison
Research affiliation: OceanRep > GEOMAR > FB3 Marine Ecology > FB3-EV Evolutionary Ecology of Marine Fishes
OceanRep > The Future Ocean - Cluster of Excellence
Refereed: Yes
DOI etc.: 10.1016/j.ecolmodel.2009.10.025
ISSN: 0304-3800
Projects: INCOFISH, Future Ocean
Date Deposited: 21 Oct 2010 08:44
Last Modified: 21 Feb 2017 13:05
URI: http://eprints.uni-kiel.de/id/eprint/9915

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