Abstract
The shared use of natural resources by humans and wildlife is the basis of long-lasting conflicts whose reconciliation is an urgent need. To fully understand the degree of damage and the conflict intensity, detailed knowledge is required on the distribution and abundance of animals and thus their visiting rate and contact with vulnerable resources, which in turn vary spatially depending on habitat characteristics and regional resolution instruments. The purpose of this module is to assess how landscape factors and resource management factors influence wildlife abundance and the exposure and vulnerability of the resource to wildlife. Abundance estimates and species-habitat associations are the two key factors in this context. Three approaches are presented (minimum, standard and advanced), varying in time and funding needs, and these range from literature-based educated guesses to powerful predictors using field-survey datasets, as described. We suggest as a first step the standard approach and only if evidences support a strong influence of landscape factors select an advanced approach in a later step of the reconciliation process.
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Caughley G (1980) Analysis of vertebrate populations. Wiley, New York
Cooperrider AY, Boyd RJ, Stuart HR (1986) Inventory and monitoring of wildlife habitat. United States Department of the Interior, Bureau of Land Management, Service Centre, Denver
Corsi F, de Leeuw J, Skidmore A (2000) Modelling species distribution with GIS. In: Boitani L, Fuller T (eds) Research techniques in animal ecology: controversies and consequences. Columbia University Press, New York, pp 389–434
Freitas D, Gomes J, Sales Luís T, Madruga L, Marques C, Baptista G, Rosalino LM, Antunes P, Santos R, Santos-Reis M (2007) Otters and fish farms in the Sado Estuary: ecological and socio-economic basis of a conflict. Hydrobiologia 587:51–62
Gruber B, Reineking B, Calabrese JM, Kranz A, Poledníková K, Poledník L, Klenke R, Valentin A, Henle K (2008) A new method for estimating visitation rates of cryptic animals via repeated surveys of indirect signs. J Appl Ecol 45:728–735
Hirzel AH, Hausser J, Chessel D, Perrin N (2002) Ecological-niche factor analysis. How to compute habitat-suitability maps without absence data. Ecology 83:2027–2036
Pearce JL, Boyce MS (2006) Modelling distribution and abundance with presence-only data. J Appl Ecol 43:405–418
Reimoser F (2002) Wildlife ecological spatial planning (WESP): an instrument for integrating wildlife into comprehensive land management. In: Proceedings of the XXIVth congress of the international union of game biologists (Thessaloniki, 1999), pp 176–185
Sales-Luís T, Freitas D, Santos-Reis M (2009) Key landscape factors for Eurasian otter Lutra lutra visiting rates and fish loss in estuarine fish farms. Eur J Wildl Res 55:345–355
Santos-Reis M, Santos R, Antunes P, Sales-Luís T, Gomes J, Freitas D, Madruga L (2013) Reconciliation of the conflict between otters and fish farmers: lessons from Sado estuary in Portugal. In: Klenke R, Ring I, Kranz A, Jepsen N, Rauschmayer R, Henle K (eds) Human-wildlife conflicts in Europe—fisheries and fish-eating vertebrates as a model case. Springer, Heidelberg, doi:10.1007/978-3-540-34789-7_4
Williams BK, Nichols JD, Conroy MJ (2002) Analysis and management of animal populations. Academic Press, San Diego
Free and Commercial Software for Statistical Analysis and GIS
ArcGIS—ESR. http://www.esri.com. Accessed 08 July 2009
BioMapper. http://www2.unil.ch/biomapper/. Accessed 08 July 2009
GRASS GIS—The world leading free software GIS. http://www.saga-gis.org/en/index.html. Accessed 08 July 2009
R Development Core Team (2006) R: a language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. http://www.R-project.org. Accessed 28 Aug 2006
SAGA GIS—A system for an automated geographical analysis
Web Pages
CRAN Task View: Analysis of ecological and environmental data. http://cran.r-project.org/web/views/Environmetrics.html. Accessed 08 July 2009
European Environmental Agency (EEA) dataservice. http://dataservice.eea.eu.int/dataservice. Accessed 08 July 2009
Free GIS software and data. http://www.freegis.org. Accessed 08 July 2009
Habitat Evaluation Procedures Handbook. http://www.fws.gov/policy/ESMindex.html. Accessed 08 July 2009
Patuxent Software Archive. http://www.mbr-pwrc.usgs.gov/software.html. Accessed 08 July 2009
phidot.org home page. http://www.phidot.org. Accessed 08 July 2009
USGS National Wetlands Research Center: Habitat Suitability Index Models Introduction. http://www.nwrc.usgs.gov/wdb/pub/hsi/hsiintro.html. Accessed 08 July 2009
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Santos-Reis, M., Klenke, R., Henle, K. (2013). Module 2: Wildlife Abundance and Habitat. In: Klenke, R., Ring, I., Kranz, A., Jepsen, N., Rauschmayer, F., Henle, K. (eds) Human - Wildlife Conflicts in Europe. Environmental Science and Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-34789-7_12
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DOI: https://doi.org/10.1007/978-3-540-34789-7_12
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