A Knowledge-based approach to wildlife management

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dc.contributor.authorPaterson, Barbara
dc.contributor.authorBrown, Chris J
dc.contributor.authorStuart-Hill, Greg
dc.contributor.authorWinschiers, Heike
dc.contributor.authorUnderhill, Les G
dc.contributor.authorDunne, Tim T
dc.contributor.authorSchinzel, Britta
dc.contributor.authorBeytell, Ben
dc.contributor.authorDemas, Fanuel
dc.contributor.authorLindeque, Pauline
dc.contributor.authorWeaver, Chris
dc.date.accessioned2016-01-21T06:58:06Z
dc.date.available2016-01-21T06:58:06Z
dc.date.issued2008
dc.date.updated2016-01-19T08:21:34Z
dc.description.abstractWe present a method for developing a knowledge base to give wildlife managers timely access to pertinent information. This knowledge-based approach to species management in Namibia focuses on anthologies and management strategies for high-value mammal species.To manage wildlife resources sustainably access to an appropriate knowledge base is essential. The strategic species management approach promotes planning on local, national, and international levels. A hypermedia Information System for Rare Species Management (IRAS) and a decision support system (Wildlife Introduction Advisor) are described. Unlike print media, which become dated, hypermedia is easily updated. The non-sequential nature of hypermedia allows information extraction according to the readers needs. Due to this flexibility hypermedia supports adaptive management and information sharing. Usability evaluation of the IRAS system disproved our assumption that established wildlife conservation categories such as habitat, distribution, and numbers are appropriate and sufficient to structure species information. This result led to a restructuring of the information according to management objectives. Evaluation of the Wildlife Introduction Advisor indicates that the model performs reliably and is robust towards input error. Human experts seem to be susceptible to bias. The economic benefits associated with wildlife translocations demand accountability through a well-defined, transparent distribution process. In Namibia this demand is achieved through the use of a knowledge-based decision support tool.en_ZA
dc.identifier.apacitationPaterson, B., Brown, C. J., Stuart-Hill, G., Winschiers, H., Underhill, L. G., Dunne, T. T., ... Weaver, C. (2008). A Knowledge-based approach to wildlife management. <i>South African Journal of Wildlife Research</i>, http://hdl.handle.net/11427/16471en_ZA
dc.identifier.chicagocitationPaterson, Barbara, Chris J Brown, Greg Stuart-Hill, Heike Winschiers, Les G Underhill, Tim T Dunne, Britta Schinzel, et al "A Knowledge-based approach to wildlife management." <i>South African Journal of Wildlife Research</i> (2008) http://hdl.handle.net/11427/16471en_ZA
dc.identifier.citationPaterson, B., Brown, C. J., Stuart-Hill, G., Winschiers, H., Underhill, L. G., Dunne, T. T., ... & Weaver, C. (2008). A knowledge-based approach to wildlife management. South African Journal of Wildlife Research, 38(1), 1-10.en_ZA
dc.identifier.issn2410-7220en_ZA
dc.identifier.ris TY - Journal Article AU - Paterson, Barbara AU - Brown, Chris J AU - Stuart-Hill, Greg AU - Winschiers, Heike AU - Underhill, Les G AU - Dunne, Tim T AU - Schinzel, Britta AU - Beytell, Ben AU - Demas, Fanuel AU - Lindeque, Pauline AU - Weaver, Chris AB - We present a method for developing a knowledge base to give wildlife managers timely access to pertinent information. This knowledge-based approach to species management in Namibia focuses on anthologies and management strategies for high-value mammal species.To manage wildlife resources sustainably access to an appropriate knowledge base is essential. The strategic species management approach promotes planning on local, national, and international levels. A hypermedia Information System for Rare Species Management (IRAS) and a decision support system (Wildlife Introduction Advisor) are described. Unlike print media, which become dated, hypermedia is easily updated. The non-sequential nature of hypermedia allows information extraction according to the readers needs. Due to this flexibility hypermedia supports adaptive management and information sharing. Usability evaluation of the IRAS system disproved our assumption that established wildlife conservation categories such as habitat, distribution, and numbers are appropriate and sufficient to structure species information. This result led to a restructuring of the information according to management objectives. Evaluation of the Wildlife Introduction Advisor indicates that the model performs reliably and is robust towards input error. Human experts seem to be susceptible to bias. The economic benefits associated with wildlife translocations demand accountability through a well-defined, transparent distribution process. In Namibia this demand is achieved through the use of a knowledge-based decision support tool. DA - 2008 DB - OpenUCT DP - University of Cape Town J1 - South African Journal of Wildlife Research LK - https://open.uct.ac.za PB - University of Cape Town PY - 2008 SM - 2410-7220 T1 - A Knowledge-based approach to wildlife management TI - A Knowledge-based approach to wildlife management UR - http://hdl.handle.net/11427/16471 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/16471
dc.identifier.vancouvercitationPaterson B, Brown CJ, Stuart-Hill G, Winschiers H, Underhill LG, Dunne TT, et al. A Knowledge-based approach to wildlife management. South African Journal of Wildlife Research. 2008; http://hdl.handle.net/11427/16471.en_ZA
dc.languageengen_ZA
dc.publisherSouthern African Wildlife Management Associationen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.sourceSouth African Journal of Wildlife Researchen_ZA
dc.source.urihttp://www.sawma.co.za/
dc.subject.otherexpert system, decision support, hypermedia system, knowledge-based system, natural resource management, wildlife management
dc.titleA Knowledge-based approach to wildlife managementen_ZA
dc.typeJournal Articleen_ZA
uct.subject.keywordsknowledge-based systemen_ZA
uct.subject.keywordsnatural resource managementen_ZA
uct.subject.keywordswildlife managementen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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