Distribution of benthic marine invertebrates at northern latitudes - An evaluation applying multi-algorithm species distribution models

Karin Meißner, Dario Fiorentino, Sarah Schnurr, Pedro Martinez Arbizu, Falk Huettmann, Sabine Holst, Saskia Brix, Jörundur Svavarsson

Rannsóknarafurð: Framlag til fræðitímaritsGreinritrýni

25 Tilvitnanir (Scopus)

Útdráttur

Different techniques of species distribution modeling were applied to evaluate the distribution of eight benthic marine species in Icelandic waters. The species examined were Symplectoscyphus tricuspidatus, Stegopoma plicatile (both Hydrozoa), Prionospio cirrifera, Amphicteis gunneri (both Polychaeta), Desmosoma strombergi, Eurycope producta (both Isopoda), Andaniella pectinata and Harpinia crenulata (both Amphipoda). Information on 13 environmental variables (temperature mean, temperature mean SD, temperature minimum, temperature maximum, salinity mean, salinity mean SD, oxygen content, particulate organic carbon, seasonal variation index, bottom roughness, sediment thickness, acidification) and records of occurrences of these eight species was collated in an ArcGIS project. Modeling methods applied were MARS, TreeNet, and MaxENT. According to area under the receiver operating curve (AUC) model assessment values, models with moderate to outstanding discriminatory power were found for all species. There was a good overlap in the overall pattern of prediction for most species independent on the modeling technique. Among the three applied techniques MARS seemed to generalize most whereas TreeNet predictions very precisely reflected information from the training data set. The distribution of the selected benthic invertebrate species in Icelandic waters could be linked to a variety of environmental factors related to oceanography, seabed topography and human impact. Their multivariate interactions acted as a structuring force of species distribution, instead of just their one by one individual influence. The selected predictors varied between the different models for the same species. They substituted each other in different models. The expected distribution of the examined species was mapped for a seascape of known environmental settings. Such maps will serve as excellent references in future impact studies and enable the detection of changes in the distribution of benthic marine invertebrates.

Upprunalegt tungumálEnska
Síður (frá-til)241-254
Síðufjöldi14
FræðitímaritJournal of Sea Research
Bindi85
DOI
ÚtgáfustaðaÚtgefið - jan. 2014

Athugasemd

Funding Information:
Thanks to all individuals and agencies that shared data in public and online. Further, we would like to thank Hans-Georg Andres, Hamburg, for giving access to his unpublished amphipod data. Also, we are grateful to Dr. Marina Malyutina who helped with the identification of Isopoda. The NISE data were kindly provided by the Marine Research Institute (Iceland), the Institute of Marine Research (Norway), the Faroese Fisheries Laboratory, the Arctic and Antarctic Research Institute (Russia), and the Geophysical Institute, University of Bergen (Norway). Also, we thank Prof. Dr. Detlef Quadfasel and Dr. Kerstin Jochumsen for their support in producing layers out of the NISE data. The Sandgerði Marine Centre and the University of Iceland kindly hosted people associated with this project during several workshops. Salford Systems Ltd. , University of Alaska-Fairbanks , the EWHALE lab and L. Strecker and S. Linke are thanked for their support during this study. Financial support was also provided by the German Science Foundation under contracts BR 3843/2-1 and BR 3843/3-1 .

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