Long-term spatio-temporal changes in a West African bushmeat trade system.
Identifieur interne : 000067 ( PubMed/Curation ); précédent : 000066; suivant : 000068Long-term spatio-temporal changes in a West African bushmeat trade system.
Auteurs : J. Mcnamara [Royaume-Uni] ; J M Kusimi [Royaume-Uni] ; J M Rowcliffe [Ghana] ; G. Cowlishaw [Royaume-Uni] ; A. Brenyah [Ghana] ; E J Milner-Gulland [Royaume-Uni]Source :
- Conservation biology : the journal of the Society for Conservation Biology [ 1523-1739 ] ; 2015.
Descripteurs français
- Wicri :
- geographic : Ghana.
English descriptors
- KwdEn :
- MESH :
- geographic : Ghana.
- economics : Meat.
- physiology : Mammals.
- Animals, Biodiversity, Commerce, Conservation of Natural Resources, Ecosystem, Population Dynamics, Transportation.
Abstract
Landscapes in many developing countries consist of a heterogeneous matrix of mixed agriculture and forest. Many of the generalist species in this matrix are increasingly traded in the bushmeat markets of West and Central Africa. However, to date there has been little quantification of how the spatial configuration of the landscape influences the urban bushmeat trade over time. As anthropogenic landscapes become the face of rural West Africa, understanding the dynamics of these systems has important implications for conservation and landscape management. The bushmeat production of an area is likely to be defined by landscape characteristics such as habitat disturbance, hunting pressure, level of protection, and distance to market. We explored (SSG, tense) the role of these four characteristics in the spatio-temporal dynamics of the commercial bushmeat trade around the city of Kumasi, Ghana, over 27 years (1978 to 2004). We used geographic information system methods to generate maps delineating the spatial characteristics of the landscapes. These data were combined with spatially explicit market data collected in the main fresh bushmeat market in Kumasi to explore the relationship between trade volume (measured in terms of number of carcasses) and landscape characteristics. Over time, rodents, specifically cane rats (Thryonomys swinderianus), became more abundant in the trade relative to ungulates and the catchment area of the bushmeat market expanded. Areas of intermediate disturbance supplied more bushmeat, but protected areas had no effect. Heavily hunted areas showed significant declines in bushmeat supply over time. Our results highlight the role that low intensity, heterogeneous agricultural landscapes can play in providing ecosystem services, such as bushmeat, and therefore the importance of incorporating bushmeat into ecosystem service mapping exercises. Our results also indicate that even where high bushmeat production is possible, current harvest levels may cause wildlife depletion.
DOI: 10.1111/cobi.12545
PubMed: 26104770
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Many of the generalist species in this matrix are increasingly traded in the bushmeat markets of West and Central Africa. However, to date there has been little quantification of how the spatial configuration of the landscape influences the urban bushmeat trade over time. As anthropogenic landscapes become the face of rural West Africa, understanding the dynamics of these systems has important implications for conservation and landscape management. The bushmeat production of an area is likely to be defined by landscape characteristics such as habitat disturbance, hunting pressure, level of protection, and distance to market. We explored (SSG, tense) the role of these four characteristics in the spatio-temporal dynamics of the commercial bushmeat trade around the city of Kumasi, Ghana, over 27 years (1978 to 2004). We used geographic information system methods to generate maps delineating the spatial characteristics of the landscapes. These data were combined with spatially explicit market data collected in the main fresh bushmeat market in Kumasi to explore the relationship between trade volume (measured in terms of number of carcasses) and landscape characteristics. Over time, rodents, specifically cane rats (Thryonomys swinderianus), became more abundant in the trade relative to ungulates and the catchment area of the bushmeat market expanded. Areas of intermediate disturbance supplied more bushmeat, but protected areas had no effect. Heavily hunted areas showed significant declines in bushmeat supply over time. Our results highlight the role that low intensity, heterogeneous agricultural landscapes can play in providing ecosystem services, such as bushmeat, and therefore the importance of incorporating bushmeat into ecosystem service mapping exercises. Our results also indicate that even where high bushmeat production is possible, current harvest levels may cause wildlife depletion.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26104770</PMID><DateCreated><Year>2015</Year><Month>09</Month><Day>18</Day></DateCreated><DateCompleted><Year>2016</Year><Month>06</Month><Day>17</Day></DateCompleted><DateRevised><Year>2016</Year><Month>10</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1523-1739</ISSN><JournalIssue CitedMedium="Internet"><Volume>29</Volume><Issue>5</Issue><PubDate><Year>2015</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Conservation biology : the journal of the Society for Conservation Biology</Title><ISOAbbreviation>Conserv. Biol.</ISOAbbreviation></Journal><ArticleTitle>Long-term spatio-temporal changes in a West African bushmeat trade system.</ArticleTitle><Pagination><MedlinePgn>1446-57</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/cobi.12545</ELocationID><Abstract><AbstractText>Landscapes in many developing countries consist of a heterogeneous matrix of mixed agriculture and forest. Many of the generalist species in this matrix are increasingly traded in the bushmeat markets of West and Central Africa. However, to date there has been little quantification of how the spatial configuration of the landscape influences the urban bushmeat trade over time. As anthropogenic landscapes become the face of rural West Africa, understanding the dynamics of these systems has important implications for conservation and landscape management. The bushmeat production of an area is likely to be defined by landscape characteristics such as habitat disturbance, hunting pressure, level of protection, and distance to market. We explored (SSG, tense) the role of these four characteristics in the spatio-temporal dynamics of the commercial bushmeat trade around the city of Kumasi, Ghana, over 27 years (1978 to 2004). We used geographic information system methods to generate maps delineating the spatial characteristics of the landscapes. These data were combined with spatially explicit market data collected in the main fresh bushmeat market in Kumasi to explore the relationship between trade volume (measured in terms of number of carcasses) and landscape characteristics. Over time, rodents, specifically cane rats (Thryonomys swinderianus), became more abundant in the trade relative to ungulates and the catchment area of the bushmeat market expanded. Areas of intermediate disturbance supplied more bushmeat, but protected areas had no effect. Heavily hunted areas showed significant declines in bushmeat supply over time. Our results highlight the role that low intensity, heterogeneous agricultural landscapes can play in providing ecosystem services, such as bushmeat, and therefore the importance of incorporating bushmeat into ecosystem service mapping exercises. 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Ascot, Berks, SL5 7PY, United Kingdom.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><Agency>Biotechnology and Biological Sciences Research Council</Agency><Country>United Kingdom</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>06</Month><Day>23</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Conserv Biol</MedlineTA><NlmUniqueID>9882301</NlmUniqueID><ISSNLinking>0888-8892</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Proc Biol Sci. 2001 Dec 7;268(1484):2473-8</RefSource><PMID Version="1">11747566</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Conserv Biol. 2007 Feb;21(1):274-7</RefSource><PMID Version="1">17298536</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Conserv Biol. 2011 Jun;25(3):597-606</RefSource><PMID Version="1">21492219</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Proc Natl Acad Sci U S A. 2011 Aug 23;108(34):13931-6</RefSource><PMID Version="1">21873180</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Ecol Lett. 2012 May;15(5):406-14</RefSource><PMID Version="1">22385501</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D044822" MajorTopicYN="N">Biodiversity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003132" MajorTopicYN="N">Commerce</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003247" 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MajorTopicYN="N">bosque</Keyword><Keyword MajorTopicYN="N">cambios en el uso de suelo</Keyword><Keyword MajorTopicYN="N">cambios en la cobertura de suelo</Keyword><Keyword MajorTopicYN="N">conservation planning</Keyword><Keyword MajorTopicYN="N">detección remota</Keyword><Keyword MajorTopicYN="N">ecosystem management</Keyword><Keyword MajorTopicYN="N">forest</Keyword><Keyword MajorTopicYN="N">land-cover change</Keyword><Keyword MajorTopicYN="N">land-use change</Keyword><Keyword MajorTopicYN="N">land-use planning</Keyword><Keyword MajorTopicYN="N">manejo de ecosistemas</Keyword><Keyword MajorTopicYN="N">planeación de la conservación</Keyword><Keyword MajorTopicYN="N">planeación del uso de suelo</Keyword><Keyword MajorTopicYN="N">remote sensing</Keyword><Keyword MajorTopicYN="N">África</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>07</Month><Day>02</Day></PubMedPubDate><PubMedPubDate 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