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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

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one publication added to basket [206698]

Mapping nematode diversity in the Southern Bight of the North Sea Merckx, B.; Van Meirvenne, M.; Steyaert, M.; Vanreusel, A.; Vincx, M.; Vanaverbeke, J. (2011). Mapping nematode diversity in the Southern Bight of the North Sea, in: Merckx, B. Habitat suitability and community modelling of marine benthos = Modeleren van habitatgeschiktheid en gemeenschapsstructuren van marien benthos. pp. 65-82 In: Merckx, B. (2011). Habitat suitability and community modelling of marine benthos = Modeleren van habitatgeschiktheid en gemeenschapsstructuren van marien benthos. PhD Thesis. Ghent University: Gent. ISBN 978-90-77713-87-7. 309 pp., meer

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Beschikbaar in	Auteurs
VLIZ: Open access [224650] [ download pdf ]

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Trefwoorden

Biodiversity Geostatistics Mapping Nematoda [WoRMS] ANE, Noordzee, Zuidelijke Bocht [Marine Regions] Marien/Kust

Author keywords

Generalised least squares

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Auteurs		Top
Merckx, B., meer Van Meirvenne, M. Steyaert, M., meer	Vanreusel, A., meer Vincx, M., meer Vanaverbeke, J., meer

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Abstract

In order to protect the biodiversity of the seas from, e.g., overexploitation, the spatial distribution of biodiversity and the mapping of biodiversity hotspots are of great importance. In the present paper we discuss different methods to develop full coverage biodiversity maps of free-living marine nematodes in the Southern Bight of the North Sea. A database with sampling data, gathered over 3 decades (1972 to 2004), combined with exhaustive environmental data, was employed to predict species richness and the expected number of species by different methods: ordinary kriging (OK) and regression kriging (RK) with ordinary least squares (OLS) and generalised least squares (GLS). The predictive value of these methods was evaluated by an independent validation set. Replicate samples were used to make an accurate estimation of the nugget variance, since replicates reveal local variability. Accordingly, it was feasible to find a spatial pattern in the residuals of the regression models. Our analysis pointed out that GLS improved the OK models substantially, while RK only slightly improved the GLS model. The diversity of marine nematodes is substantially influenced by the silt-clay fraction and the amount of total suspended matter, which is also reflected in the resulting map with a species-poor area near the coast line, especially near the south of the mouth of the Scheldt estuary. Off coast diversity and evenness are generally higher.

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