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GIS-Based Estimation of Wetland Conservation Potentials in Europe

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Computational Science and Its Applications – ICCSA 2010 (ICCSA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6016))

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Abstract

In the EU socio-economic considerations and economic activities play an important part in land use management and conservation planning. However, conservation studies that offer high-accuracy landscape information at the European level are often recommended by policy makers, but rarely realized. This study contributes to this problem by optimal combination of existing spatial datasets to obtain the spatial distribution of wetlands by definition of flexible knowledge rules. The resulting distribution model distinguishes between existing wetlands and sites suitable for wetland restoration at 1 km resolution. It differentiates several wetland types and covers 37 European countries. The results of the model may help to locate sites suitable for restoration programs, or for the introduction of faunistic corridors.

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References

  1. LIFE (ed.): Europe’s wetlands – status and trends. LIFE Focus, pp. 3–11 (2007)

    Google Scholar 

  2. Dahl, T.E.: Status and trends of wetlands in the conterminous United States 1998 to 2004. US Department of the Interior, Fish and Wildlife Service, Washington DC (2006)

    Google Scholar 

  3. Cowardin, L.M., Carter, V., Golet, F.C., LaRoe, E.T.: Classification of wetlands and deepwater habitats of the United States. US Fish & Wildlife Service, Washington DC (1979)

    Google Scholar 

  4. Mitsch, W.J. (ed.): Global Wetlands: Old World and New. Elsevier, Amsterdam (1994)

    Google Scholar 

  5. Sanderson, M.G.: Global Distribution of Freshwater Wetlands for use in STOCHEM. Hadley Centre Technical Note 32 (2001)

    Google Scholar 

  6. Franklin, J.F., Swanson, M.E.: Forest Landscape Structure, Degradation and Condition: Some Commentary and Fundamental Principles. In: Lindenmayer, D.B., Hobbs, R.J. (eds.) Managing and Designing Landscapes for Conservation: Moving from Perspectives to Principles. Conservation Science and Practice Series 1, pp. 131–145. Blackwell Publishing, Oxford (2007)

    Chapter  Google Scholar 

  7. Merot, P., Squividant, H., Aurousseau, P., Hefting, M., Burt, T., Maitr, V., Kruk, M., Butturini, A., Thenail, C., Viaud, V.: Testing a climato-topographic index for predicting wetlands distribution along an European climate gradient. Ecological Modelling 163(1-2), 51–71 (2003)

    Article  Google Scholar 

  8. Lehner, B., Döll, P.: Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 296(1-4), 1–22 (2004)

    Article  Google Scholar 

  9. Moss, D., Davies, C.: Cross-references between the EUNIS habitat classification and the nomenclature of the CORINE land cover. CEH project No. CC00389 (2002)

    Google Scholar 

  10. European Topic Centre on Biological Diversity (ed.): Introduction to EUNIS database (1993–2006), http://eunis.eea.europa.eu/

  11. European Commission: CORINE biotopes. The design, compilation and use of inventory of sites of major importance for nature conservation in the European Community. EUR 13231 EN. Brussels (1991)

    Google Scholar 

  12. EEA (ed.): CORINE Biotopes Database (2010), http://dataservice.eea.eu.int/dataservice

  13. EEA (ed.): CORINE Land Cover 2000 Database, 100 m (2000), http://dataservice.eea.eu.int/dataservice

  14. Bohn, U., Neuhäusel, R., with contributions by Gollub, G., Hettwer, C., Neuhäuslová, Z., Raus, T., Schlüter, H., Weber, H.: Karte der natürlichen Vegetation Europas / Map of the Natural Vegetation of Europe. Scale 1: 2 500 000. Landwirtschaftsverlag, Münster (2003)

    Google Scholar 

  15. Palmeri, L., Trepel, M.: A GIS-Based Score System for Siting and Sizing of Created or Restored Wetlands: Two Case Studies. Water Resources Management 16, 307–328 (2002)

    Article  Google Scholar 

  16. Malczewski, J.: GIS-based land-use suitability analysis: a critical overview. Progress in Planning 62, 3–65 (2004)

    Article  Google Scholar 

  17. Roise, J.P., Gainey, K.W., Shear, T.H.: An approach to optimal wetland mitigation using mathematical programming and geographic information system based wetland function estimation. Wetlands Ecology and Management 12, 321–331 (2004)

    Article  Google Scholar 

  18. Zacharias, I., Dimitriou, E., Koussouris, T.: Integrated water management scenarios for wetland protection: application in Trichonis Lake. Environmental Modelling & Software 20, 177–185 (2005)

    Article  Google Scholar 

  19. Alexandridis, T.K., Lazaridou, E., Tsirika, A., Zalidis, G.C.: Using Earth Observation to update a Natura 2000 habitat map for a wetland in Greece. Journal of Environmental Management 90, 2243–2251 (2009)

    Article  Google Scholar 

  20. Rebelo, L.-M., Finlayson, C.M., Nagabhatla, N.: Remote sensing and GIS for wetland inventory, mapping and change analysis. Journal of Environmental Management 90, 2144–2153 (2009)

    Article  Google Scholar 

  21. Schneider, U.A., Balkovic, J., De Cara, S., Franklin, O., Fritz, S., Havlik, P., Huck, I., Jantke, K., Kallio, A.M.I., Kraxner, F., Moiseyev, A., Obersteiner, M., Ramos, C.I., Schleupner, C., Schmid, E., Schwab, D., Skalsky, R.: The European Forest and Agricultural Sector Optimization Model – EUFASOM. FNU-156, Hamburg University and Centre for Marine and Atmospheric Science, Hamburg (2008)

    Google Scholar 

  22. EEA (ed.): CORINE Land Cover. Part 2: Nomenclature (1995), http://reports.eea.europa.eu/CORO_landcover/en

  23. Verbyla, D.L., Litaitis, J.A.: Resampling methods for evaluating classification accuracy of wildlife habitat models. Environmental Management 13, 783–787 (1989)

    Article  Google Scholar 

  24. Araújo, M.B., Pearson, R.G., Thuiller, W., Erhard, M.: Validation of species-climate impact models under climate change. Global Change Biology 11, 1504–1513 (2005)

    Article  Google Scholar 

  25. EEA (ed.): The thematic accuracy of Corine Land Cover 2000. Assessment using LUCAS (land use/cover area frame statistical survey). European Environment Agency, Copenhagen (2006)

    Google Scholar 

  26. RAMSAR Bureau: The list of Wetlands of International Importance, Gland, Switzerland (2008), http://www.ramsar.org

  27. Guisan, A., Zimmermann, N.E.: Predictive habitat distribution models in ecology. Ecological Modelling 135, 147–186 (2000)

    Article  Google Scholar 

  28. Franklin, J.: Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Prog. Phys. Geogr. 19, 474–499 (1995)

    Article  Google Scholar 

  29. Miller, J., Franklin, J., Aspinall, R.: Incorporating spatial dependence in predictive vegetation models. Ecological Modelling 202, 225–242 (2007)

    Article  Google Scholar 

  30. Brinson, M.M.: Hydrogeomorphic Classification for Wetlands. US Army Corps of Engieneers, Wetland Research Program. TR: WRP-DE-4, Washington DC (1993)

    Google Scholar 

  31. Succow, M., Joosten, H. (eds.): Landschaftsökologische Moorkunde. E. Schweitzerbert’sche Verlagsbuchhandlung, Stuttgart (2001)

    Google Scholar 

  32. BfN (ed.): Explanatory Text to the Map of the Natural Vegetation of Europe. Landwirtschaftsverlag, Münster (2004)

    Google Scholar 

  33. Wheeler, B.D., Shaw, S.C., Fojt, J., Robertson, R.A. (eds.): Restoration of temperate wetlands. John Wiley & Sons, New York (1995)

    Google Scholar 

  34. Schultlink, G., Van Vliet, R.: Wetland identification and protection: North American and European policy Perspectives. Departement of Resource Development. Michigan State University (1997), http://rdservl.rd.msu.edu/wetlands/wims/wims_nort.doc

  35. Joint Research Centre: European Soil Database (v 2.0), European Soil Bureau Network and the European Commission, EUR 19945 EN (2004)

    Google Scholar 

  36. Walter, H., Breckle, S.W.: Vegetation und Klimazonen, 7th edn. Ulmer, Stuttgart (1999)

    Google Scholar 

  37. USGS (ed.): GTOPO30 (1996), http://www.edcdaac.usgs.gov/gtopo30/gtopo30.html

  38. EEA (ed.): The Biogeographical Regions Map of Europe. – European Environment Agency, Copenhagen (2002), http://dataservice.eea.eu.int/dataservice

  39. Mulamoottil, G., Warner, B.G., McBean, E.A.: Wetlands: Environmental Gradients, Boundaries and Buffers. Lewis Publishers, New York (1996)

    Google Scholar 

  40. Tsihrintzis, V.A., John, D.L., Tremblay, P.J.: Hydrodynamic Modeling of Wetlands for Flood Detention. Water Resources Management Journal 12(4), 251–269 (1998)

    Article  Google Scholar 

  41. Manfreda, S., Sole, A., Fiorentino, M.: Can the basin morphology alone provide an insight on floodplain delineation? In: Flood Recovery Innovation and Response I, pp. 47–56. WIT-press, Southampton (2008)

    Chapter  Google Scholar 

  42. Chefaoui, R.M., Lobo, J.M.: Assessing the effects of pseudo-absences on predictive distribution model performance. Ecological Modelling 210, 478–486 (2008)

    Article  Google Scholar 

  43. Nivet, C., Frazier, S.: A review of European wetland inventory information. Report prepared in the framework of “A pilot study towards a Pan-European wetland inventory”. In: Taylor, A.R.D., van Eerden, M. (eds.) Wetlands International, RAMSAR (2004)

    Google Scholar 

  44. Gallego, J., Bamps, C.: Using CORINE land cover and the point survey LUCAS for area estimation. International Journal of Applied Earth Observation and Geoinformation 10(4), 467–475 (2008)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Research Unit Sustainability and Global Change, ZMAW & Hamburg University, Bundesstr. 55, 20146, Hamburg, Germany

    Christine Schleupner

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  1. Christine Schleupner
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Editor information

Editors and Affiliations

  1. Clayton School of Information Technology, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  2. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, Perugia, 06123, Italy

    Osvaldo Gervasi

  3. L.I.S.U.T. - D.A.P.I.T., University of Basilicata, Viale dell’Ateneo Lucano 10, Potenza, 85100, Italy

    Beniamino Murgante

  4. Department of Computer Science and Computer Engineeering, LaTrobe University, 3086, Bundoora, VIC, Australia

    Eric Pardede

  5. Department of Intelligent Informatics, Kyushu Sangyo University, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

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Schleupner, C. (2010). GIS-Based Estimation of Wetland Conservation Potentials in Europe. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12156-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-12156-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12155-5

  • Online ISBN: 978-3-642-12156-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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