Where is the worm? Predictive modelling of the habitat preferences of the tube-building polychaete Lanice conchilega

Ecological Modelling

Volumn 212, Issue 1-2, 2008, Pages 74-79

  Willems, Wouter ^a   Goethals, Peter ^a   Van den Eynde, Dries ^b   Van Hoey, Gert ^a   Van Lancker, Vera ^a   Verfaillie, Els ^a   Vincx, Magda ^a   Degraer, Steven ^a  

^a GHENT UNIVERSITY   (Belgium)

^b ROYAL BELGIAN INSTITUTE OF NATURAL SCIENCES   (Belgium)

Author keywords

Artificial neural networks (ANN); Generalized linear models (GLM); Habitat preference; Lanice conchilega; Polychaeta

Indexed keywords

BIODIVERSITY; DATABASE SYSTEMS; GRAIN SIZE AND SHAPE; INFORMATION RETRIEVAL; NEURAL NETWORKS; OCEAN HABITATS;

GENERALIZED LINEAR MODELS (GLM); HABITAT PREFERENCE; LANICE CONCHILEGA; MARINE MACROBENTHIC SPECIES; POLYCHAETA; POLYCHAETE LANICE CONCHILEGA; PREDICTIVE MODELING; WORMS;

MICROORGANISMS;

ARTIFICIAL NEURAL NETWORK; COAST; COMPARATIVE STUDY; ECOLOGICAL MODELING; HABITAT SELECTION; POLYCHAETE; SPATIAL DISTRIBUTION; SPECIES OCCURRENCE;

EURASIA; EUROPE;

ANIMALIA; LANICE CONCHILEGA; POLYCHAETA;

EID: 38949114551     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2007.10.017     Document Type: Article

References (21)

1. Arndt S., Turvey C., and Andreasen N.C. Correlating and predicting psychiatric symptom ratings: Spearman's r versus Kendall's Tau correlation. J. Psychiat. Res. 33 (1999) 97-104
2. Bhaud M.R., and Cazaux C.P. Buoyancy characteristics of Lanice conchilega (Pallas) larvae (Terebellidae). Implications for settlement. J. Exp. Mar. Biol. Ecol. 141 1 (1990) 31-45
3. Buhr K., and Winter. Distribution and maintenance of a Lanice conchilega association in the Weser estuary, with special reference to the suspension-feeding behaviour of Lanice conchilega. In: Keegan B.F., Ceidigh, and Boaden P.J.S. (Eds). Biology of Benthic Organisms. 11th European Symposium on Marine Biology, Gallaway, October 1976 (1977), Pergamon Press, Oxford and New York 101-113
4. Dedecker A., Goethals P.L.M., Gabriels W., and De Pauw N. Optimisation of Artificial Neural Network (ANN) model design for prediction of macroinvertebrate communities in the Zwalm river basin (Flanders Belgium). Ecol. Model. 174 1/2 (2004) 161-173
5. Degraer, S., Van Lancker, V., Moerkerke, G., Van Hoey, G., Vincx, M., Jacobs, P., Henriet, J.-P., 2002. Intensive evaluation of the evolution of a protected benthic habitat: HABITAT. Final report. Federal Office for Scientific, Technical and Cultural Affairs (OSTC) - Ministry of the Flemish Community, Environment and Infrastructure Department Waterways and Marine Affairs Administration, Coastal Waterways, 124 pp.
6. Degraer, S., Van Lancker, V., Moerkerke, G., Van Hoey, G., Vanstaen, K., Vincx, M., Henriet, J.-P., 2003. Evaluation of the ecological value of the foreshore: habitatmodel and macrobenthic side-scan sonar interpretation: extension along the Belgian Coastal Zone. Final report. Ministry of the Flemish Community, Environment and Infrastructure Department Waterways and Marine Affairs Administration, Coastal Waterways, 63 pp.
7. Fielding A.H., and Bell J.F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24 1 (1997) 38-49
8. Gray J.S. The Ecology of Marine Sediments. Cambridge Studies in Modern Biology vol. 2 (1981), Cambridge University Press, Cambridge p. 185
9. Guisan A., and Zimmerman N.E. Predictive habitat distribution models in ecology. Ecol. Model. 135 (2000) 147-186
10. Heuers J., Jaklin S., Zühlke R., Dittman S., Günther C.P., Hildebrandt H., and Grimm V. A model on the distribution and abundance of the tube-building polychaete Lanice conchilega (Pallas 1766) in the intertidal of the Wadden Sea. Verhandlungen Gesellschaft Okologie 28 (1998) 207-215
11. Lek S., and Guégan J.F. Artificial neural networks as a tool in ecological modelling, an introduction. Ecol. Model. 120 (1999) 65-73
12. Luyten, P.J., J.E. Jones, R. Proctor, A. Tabor, P. Tett and K. Wild-Allen, 1999. COHERENS-A Coupled Hydrodynamical-Ecological Model for Regional and Shelf Seas: User Documentation, MUMM Report, Management Unit of the Mathematical Models of the North Sea, 914 pp.
13. Paruelo J.M., and Tomasel F. Prediction of functional characteristics of ecosystems: a comparison of artificial neural networks and regression models. Ecol. Model. 98 (1997) 173-186
14. Peters S.V.M., Eleveld M., Pasterkamp H., vann der Woerd H., DeVolder M., Jans S., Park Y., Ruddick K., Block T., Brockmann C., Doerffer R., Krassemann H., Schoenfeld W., Jørgenson P.V., Tislstone G., Moore G., Sørensen K., Hokedal J., and Aas E. Atlas of the chloropyll-a concentration in the North Sea based on MERIS imagery of 2003, Edition 1.0 (2005), Vrije Universiteit, Amsterdam
15. Rijnsdorp A.D., and Vingerhoed B. Feeding of plaice Pleuronectes platessa L. and sole Solea solea L. in relation to the effect of bottom trawling. J. Sea Res. 45 (2001) 219-229
16. Snelgrove P.V.R. Animal-sediment relationships revisited: cause versus effect. Oceanogr. Mar. Biol.: Annu. Rev. 32 (1994) 111-177
17. Trexler J.C., and Travis J. Non-traditional regression analyses. Ecology 74 6 (1993) 1629-1637
18. Woodin S.A. Refuges, disturbance, and community structure: a marine soft bottom example. Ecology 59 (1978) 274-284
19. Ysebaert T., Meire P., Herman P.M.J., and Verbeek H. Macrobenthic species response surfaces along estuarine gradients: prediction by logistic regression. Mar. Ecol. Prog. Ser. 225 (2002) 79-95
20. Zühlke R., Blome D., van Bernem D., and Dittman S. Effects of the tube-building polychaete Lanice conchilega (Pallas) on the benthic macrofauna and nematodes in an intertidal sandflat. Senckenbergiana Maritima 29 (1998) 131-138
21. Zühlke R. Polychaete tubes create ephemeral community patterns: Lanice conchilega (Pallas, 1766) associations studied over six years. J. Sea Res. 46 (2001) 261-272