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Benefits of earth observation data for conservation planning in the case of European wetland biodiversity

  • KERSTIN JANTKE (a1), CHRISTINE SCHLEUPNER (a1) and UWE A. SCHNEIDER (a1)
Summary

To evaluate the status of biodiversity and to determine how current conservation efforts can be improved, biodiversity monitoring is crucial. An important aspect of data quality lies in its spatial resolution. It is unclear how finer scale land cover and land value information might further benefit biodiversity conservation. This paper aimed to assess the impacts of scale by modelling the conservation of endangered European wetland species and their corresponding habitats. Fine-scale datasets were derived by integrating existing geographical, biophysical and economic data. A habitat allocation model, based on principles from systematic conservation planning and economic theory, was developed to estimate area requirements and opportunity costs of habitat protection in Europe. Coarse-scale and fine-scale simulations were compared by inputting both resolutions into the model. Habitat locations were restricted either only by historical species occurrence data at UTM 50 resolution or additionally by explicit wetland data at 1-km2 resolution. Coarse country-average land rents were contrasted with spatially detailed land rent estimates at a 5ʹ resolution. Costs of habitat protection and area requirements for reserves may be severely underestimated when conservation planning relies only on coarse-scale data, which may result in notable shortcomings in conservation target achievement. Improvements in conservation benefits far outweigh the additional costs of acquiring fine-scale data.

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Corresponding author
*Correspondence: Kerstin Jantke Tel: +49 40 42838 2147 Fax: +49 40 42838 7009 e-mail: kerstin.jantke@zmaw.de
References
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Andelman, S.J. & Willig, M.R. (2002) Alternative configurations of conservation reserves for Paraguayan bats: considerations of spatial scale. Conservation Biology 16 (5): 13521363.
Araujo, M.B., Thuiller, W., Williams, P.H. & Reginster, I. (2005) Downscaling European species atlas distributions to a finer resolution: implications for conservation planning. Global Ecology and Biogeography 14: 1730.
Arponen, A., Lehtomaki, J., Leppanen, J., Tomppo, E. & Moilanen, A. (2012) Effects of connectivity and spatial resolution of analyses on conservation prioritization across large extents. Conservation Biology 26 (2): 294304.
Balkovic, J., Schmid, E., Bujnovsky, R., Skalsky, R. & Poltarska, K. (2006) Bio-physical modelling for evaluating soil carbon sequestration potentials on arable lands in the pilot area Baden-Württemberg. Agriculture 52 (4): 113.
Balmford, A., Bennun, L., ten Brink, B., Cooper, D., Cote, I.M., Crane, P., Dobson, A., Dudley, N., Dutton, I., Green, R.E., Gregory, R.D., Harrison, J., Kennedy, E.T., Kremen, C., Leader-Williams, N., Lovejoy, T.E., Mace, G., May, R., Mayaux, P., Morling, P., Phillips, J., Redford, K., Ricketts, T.H., Rodriguez, J.P., Sanjayan, M., Schei, P.J., van Jaarsveld, A.S. & Walther, B.A. (2005) The convention on biological diversity's 2010 target. Science 307: 212213.
Barbosa, A.M., Real, R. & Vargas, J.M. (2010) Use of coarse-resolution models of species’ distributions to guide local conservation inferences. Conservation Biology 24: 13781387.
Bode, M., Wilson, K.A., Brooks, T.M., Turner, W.R., Mittermeier, R.A., McBride, M.F., Underwood, E.C. & Possingham, H.P. (2008) Cost-effective global conservation spending is robust to taxonomic group. Proceedings of the National Academy of Sciences USA 105 (17): 64986501.
Bohn, U. & Neuhäusel, R., with contributions from Gollub, G., Hettwer, C., Neuhäuslová, Z., Raus, T., Schlüter, H. & Weber, H. (2003) Karte der natürlichen Vegetation Europas / Map of the Natural Vegetation of Europe. Scale 1: 2 500 000. Münster, Germany: Landwirtschaftsverlag.
Busby, J.R. (1991) BIOCLIM: a bioclimatic analysis and prediction system. In: Nature Conservation: Cost Effective Biological Surveys and Data Analysis, ed. Margules, C.R. & Austin, M.P., pp. 6468. Canberra, Australia: CSIRO.
Early, R. & Thomas, C.D. (2007) Multispecies conservation planning: identifying landscapes for the conservation of viable populations using local and continental species priorities. Journal of Applied Ecology 44 (2): 253262.
EEA, ed. (2000) CORINE Land Cover 2000 raster data, 100 m [www document]. URL http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-raster-2
Franklin, J. (1995) Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Progress in Physical Geography 19: 474499.
Fritz, S., Scholes, R., Obersteiner, M., Bouma, J. & Reyers, B. (2008) A conceptual framework for assessing the benefits of a Global Earth Observation System of Systems. IEEE Systems Journal 2: 338348.
Gasc, J.P., Cabela, A., Crnobrnja-Isailovic, J., Dolmen, D., Grossenbacher, K., Haffner, P., Lescure, J., Martens, H., Martínez Rica, J.P., Maurin, H., Oliveira, M.E., Sofiandou, T.S., Veith, M. & Zuiderwijk, A. (1997) Atlas of Amphibians and Reptiles in Europe. Paris, France: Societas Europaea Herpetologica, Muséum National d'Histoire Naturelle & Service du Petrimone Naturel.
Grand, J., Cummings, M.P., Rebelo, T.G., Ricketts, T.H. & Neel, M.C. (2007) Biased data reduce efficiency and effectiveness of conservation reserve networks. Ecology Letters 10 (5): 364374.
Grantham, H.S., Moilanen, A., Wilson, K.A., Pressey, R.L., Rebelo, T.G. & Possingham, H.P. (2008) Diminishing return on investment for biodiversity data in conservation planning. Conservation Letters 1 (4): 190198.
Group on Earth Observations (2005) Global Earth Observation System of Systems GEOSS. Noordwijk, Netherlands: ESA Publications Division.
Hagemeijer, W.J.M. & Blair, M.J. (1997) The EBCC Atlas of European Breeding Birds: Their Distribution and Abundance. London, UK: T & A D Poyser.
Henry, P.Y., Lengyel, S., Nowicki, P., Julliard, R., Clobert, J., Celik, T., Gruber, B., Schmeller, D., Babij, V. & Henle, K. (2008) Integrating ongoing biodiversity monitoring: potential benefits and methods. Biodiversity and Conservation 17: 33573382.
Hermoso, V. & Kennard, M.J. (2012) Uncertainty in coarse conservation assessments hinders the efficient achievement of conservation goals. Biological Conservation 147 (1): 5259.
Herold, M., Woodcock, C.E., Loveland, T.R., Townshend, J., Brady, M., Steenmans, C. & Schmullius, C.C. (2008) Land-cover observations as part of a global earth observation system of systems (GEOSS): progress, activities, and prospects. IEEE Systems Journal 2 (3): 414423.
Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. & Jarvis, A. (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 19651978.
Izaurralde, R.C., Williams, J.R., McGill, W.B., Rosenberg, N.J. & Jakas, M.C.Q. (2006) Simulating soil C dynamics with EPIC: model description and testing against long-term data. Ecological Modelling 192: 362384.
Jantke, K. & Schneider, U.A. (2010) Multiple-species conservation planning for European wetlands with different degrees of coordination. Biological Conservation 143: 18121821.
Jantke, K. & Schneider, U.A. (2011) Integrating land market feedbacks into conservation planning: a mathematical programming approach. Environmental Modeling and Assessment 16 (3): 227238.
Jantke, K., Schleupner, C. & Schneider, U.A. (2011) Gap analysis of European wetland species: priority regions for expanding the Natura 2000 network. Biodiversity and Conservation 20 (3): 581605.
Joint Research Centre, ed. (2004) European Soil Database version 2.0. European Soil Bureau Network and the European Commission, CD Rom, EUR 19945 EN.
Lee, H.-L., Hertel, T.W., Rose, S. & Avetisyan, M. (2009) An integrated global land use data base for CGE analysis of climate policy options. In: Economic Analysis of Land Use in Global Climate Change Policy, ed. Hertel, T.W., Rose, S.K. & Tol, R.S.J., pp.7288. New York, NY, USA: Routledge.
Lehner, B. & Döll, P. (2004) Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 296: 122.
Margules, C.R. & Pressey, R.L. (2000) Systematic conservation planning. Nature 405: 243253.
Marianov, V., ReVelle, C. & Snyder, S. (2008) Selecting compact habitat reserves for species with differential habitat size needs. Computers and Operations Research 35: 475487.
McDonnell, M.D., Possingham, H.P., Ball, I.R. & Cousins, E.A. (2002) Mathematical methods for spatially cohesive reserve design. Environmental Modeling and Assessment 7: 107114.
McPherson, J.M., Jetz, W. & Rogers, D.J. (2006) Using coarse-grained occurrence data to predict species distributions at finer spatial resolutions-possibilities and limitations. Ecological Modelling 192 (3–4): 499522.
Merot, P., Squividant, H., Aurousseau, P., Hefting, M., Burt, T., Maitr, V., Kruk, M., Butturini, A., Thenail, C. & Viaud, V. (2003) Testing a climato-topographic index for predicting wetlands distribution along an European climate gradient. Ecological Modelling 163 (1–2): 5171.
Miller, J., Franklin, J. & Aspinall, R. (2007) Incorporating spatial dependence in predictive vegetation models. Ecological Modelling 202: 225242.
Mitchell-Jones, A.J., Amori, G., Bogdanowicz, W., Krystufek, B., Reijnders, P.J.H., Spitzenberger, F., Stubbe, M., Thissen, J.B.M., Vohralík, V. & Zima, J. (1999) The Atlas of European Mammals. London, UK: Academic Press.
Muchoney, D.M. (2008) Earth observations for terrestrial biodiversity and ecosystems. Remote Sensing of Environment 112 (5): 19091911.
Muchoney, D.M. & Williams, M. (2010) Building a 2010 biodiversity conservation data baseline: contributions of the Group on Earth Observations. Ecological Research 25 (5): 937946.
Naidoo, R., Balmford, A., Ferraro, P.J., Polasky, S., Ricketts, T.H. & Rouget, M. (2006) Integrating economic costs into conservation planning. Trends in Ecology and Evolution 21: 681687.
Nhancale, B.A. & Smith, R.J. (2011) The influence of planning unit characteristics on the efficiency and spatial pattern of systematic conservation planning assessments. Biodiversity and Conservation 20 (8): 18211835.
Pereira, H.M. & Cooper, H.D. (2006) Towards the global monitoring of biodiversity change. Trends in Ecology and Evolution 21: 123129.
Possingham, H., Ball, I. & Andelman, S. (2000) Mathematical methods for identifying representative reserve networks. In: Quantitative Methods for Conservation Biology, ed. Ferson, S. & Burgman, M.A., pp. 291306. New York, NY, USA: Springer.
Prendergast, J.R., Quinn, R.M. & Lawton, J.H. (1999) The gaps between theory and practice in selecting nature reserves. Conservation Biology 13: 484492.
Pricewaterhouse Coopers (2006) Socio-Economic Benefits Analysis of GMES [www document]. URL http://esamultimedia.esa.int/docs/GMES/261006_GMES_D10_final.pdf
Reside, A.E., Watson, I., VanDerWal, J. & Kutt, A.S. (2011) Incorporating low-resolution historic species location data decreases performance of distribution models. Ecological Modelling 222 (18): 34443448.
Richardson, E.A., Kaiser, M.J., Edwards-Jones, G. & Possingham, H.P. (2006) Sensitivity of marine-reserve design to the spatial resolution of socioeconomic data. Conservation Biology 20 (4): 11911202.
Sarkar, S., Pressey, R.L., Faith, D.P., Margules, C.R., Fuller, T., Stoms, D.M., Moffett, A., Wilson, K.A., Williams, K.J., Williams, P.H. & Andelman, S. (2006) Biodiversity conservation planning tools: present status and challenges for the future. Annual Review of Environment and Resources 31: 123159.
Schleupner, C. (2009) GIS as integrating tool in sustainability and global change. Reports on Earth System Science 62. Max Planck Institute for Meteorology, Hamburg, Germany.
Schleupner, C. (2010) GIS-based estimation of wetland conservation potentials in Europe. In: Computational Science and Its Applications, ed. Taniar, D., Gervasi, O., Murgante, B., Pardede, E. & Apduhan, B., pp. 198213. New York, NY, USA: Springer.
Schmid, E., Balkovic, J., Moltchanova, E., Skalsky, R., Poltarska, K., Müller, B. & Bujnovsky, R. (2006) Biophysical Process Modelling for EU25: Concept, Data, Methods, and Results. Final Research Report for the Integrated Sink Enhancement Assessment Project (INSEA). International Institute for Applied System Analysis, Laxenburg, Austria.
Scholes, R.J., Mace, G.M., Turner, W., Geller, G.N., Jürgens, N., Larigauderie, A., Muchoney, D., Walther, B.A. & Mooney, H.A. (2008) Toward a global biodiversity observing system. Science 321: 10441045.
Schwanghart, W., Beck, J. & Kuhn, N. (2008) Measuring population densities in a heterogeneous world. Global Ecology and Biogeography 17: 566568.
Skalsky, R., Tarasovičova, Z., Balkovič, J., Schmid, E., Fuchs, M., Moltchanova, E., Kindermann, G. & Scholtz, P. (2008) GEO-BENE global database for bio-physical modeling v. 1.0: concepts, methodologies and data. The GEO-BENE database report. International Institute for Applied System Analysis, Laxenburg, Austria.
Stolbovoy, V., Montanarella, L. & Panagos, P. (2007) Carbon Sink Enhancement in Soils of Europe: Data, Modeling, Verification. EUR 23037 EN, European Commission, Ispra, Italy.
Tognelli, M.F., de Arellano, P.I.R. & Marquet, P.A. (2008) How well do the existing and proposed reserve networks represent vertebrate species in Chile? Diversity and Distributions 14: 148158.
Trapp, N., Schneider, U.A., McCallum, I., Fritz, S., Schill, C., Borzacchiello, M., Heumesser, C. & Craglia, M. (2012) A meta-analysis on the return of investment of spatial data infrastructures and global earth observation system of systems. Working Paper FNU-199, University of Hamburg and Centre for Marine and Atmospheric Science, Hamburg, Germany.
Verboom, J., Foppen, R., Chardon, P., Opdam, P. & Luttikhuizen, P. (2001) Introducing the key patch approach for habitat networks with persistent populations: an example for marshland birds. Biological Conservation 100: 89101.
Warman, L.D., Sinclair, A.R.E., Scudder, G.G.E., Klinkenberg, B. & Pressey, R.L. (2004) Sensitivity of systematic reserve selection to decisions about scale, biological data, and targets: case study from Southern British Columbia. Conservation Biology 18 (3): 655666.
Williams, J.R. (1995) The EPIC model. In: Computer Models of Watershed Hydrology, ed. Singh, V.P., pp. 9091000. Colorado, USA: Water Resources Publications.
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