Using Bayesian Mixture Models That Combine Expert Knowledge and GIS Data to Define Ecoregions
Contribuinte(s) |
Perera, Ajith H. Drew, C. Ashton Johnston, Chris J. |
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Data(s) |
2012
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Resumo |
Conservation planning and management programs typically assume relatively homogeneous ecological landscapes. Such “ecoregions” serve multiple purposes: they support assessments of competing environmental values, reveal priorities for allocating scarce resources, and guide effective on-ground actions such as the acquisition of a protected area and habitat restoration. Ecoregions have evolved from a history of organism–environment interactions, and are delineated at the scale or level of detail required to support planning. Depending on the delineation method, scale, or purpose, they have been described as provinces, zones, systems, land units, classes, facets, domains, subregions, and ecological, biological, biogeographical, or environmental regions. In each case, they are essential to the development of conservation strategies and are embedded in government policies at multiple scales. |
Formato |
application/pdf |
Identificador | |
Publicador |
Springer Science+Business Media |
Relação |
http://eprints.qut.edu.au/80503/1/Ch14-preprint-Apr2011.pdf DOI:10.1007/978-1-4614-1034-8_12 Williams, Kristen J., Low-Choy, Samantha, Rochester, Wayne, & Alston, Clair (2012) Using Bayesian Mixture Models That Combine Expert Knowledge and GIS Data to Define Ecoregions. In Perera, Ajith H., Drew, C. Ashton, & Johnston, Chris J. (Eds.) Expert Knowledge and Its Application in Landscape Ecology. Springer Science+Business Media, United States of America, pp. 229-251. http://purl.org/au-research/grants/ARC/DP0667168 http://purl.org/au-research/grants/ARC/C00107484 |
Direitos |
Copyright 2012 Springer Science+Business Media, LLC The final publication is available at Springer via http://dx.doi.org/10.1007/978-1-4614-1034-8_12 |
Fonte |
School of Mathematical Sciences; Science & Engineering Faculty |
Palavras-Chave | #010401 Applied Statistics #010405 Statistical Theory #bioregionalisation #finite mixture models #expert elicitation #Bayesian hierarchical modelling #expert knowledge #ecology |
Tipo |
Book Chapter |