Land cover and tsetse fly distributions in sub-Saharan Africa.
Identifieur interne : 000314 ( PubMed/Corpus ); précédent : 000313; suivant : 000315Land cover and tsetse fly distributions in sub-Saharan Africa.
Auteurs : G. Cecchi ; R C Mattioli ; J. Slingenbergh ; S. De La RocqueSource :
- Medical and veterinary entomology [ 1365-2915 ] ; 2008.
English descriptors
- KwdEn :
- MESH :
- geographic : Africa South of the Sahara.
- classification : Tsetse Flies.
- physiology : Tsetse Flies.
- Animals, Demography, Ecosystem, Insect Control, Trees.
Abstract
This study aims to provide trypanosomiasis-affected countries with standardized datasets and methodologies for mapping the habitat of the tsetse fly (Glossina spp., the disease vector) by customizing and integrating state-of-the-art land cover maps on different spatial scales. Using a combination of inductive and deductive approaches, land cover and fly distribution maps are analysed in a geographic information system (GIS) to estimate the suitability of different land cover units for the three groups (subgenera) of Glossina. All land cover datasets used for and produced by the study comply with the Land Cover Classification System (LCCS). At the continental scale, a strong correlation between land cover and tsetse habitat is found for both the fusca and palpalis groups, whereas a weaker correlation found for the morsitans group may be indicative of less restrictive ecological requirements. At the regional and national levels, thematic aggregation of the multi-purpose Africover datasets yielded high-resolution, standardized land cover maps tailored for tsetse habitat for eight East African countries. The national maps provide remarkable spatial resolution, thematic detail and geographical coverage. They may be applied in subsequent phases of tsetse and trypanosomiasis control projects, including the planning of entomological surveys, actual tsetse control operations and planning for land use in reclaimed areas. The methodology and datasets discussed in the paper may have applications beyond the tsetse and trypanosomiasis issue and may be used with reference to other arthropod vectors, vector-borne and parasitic diseases.
DOI: 10.1111/j.1365-2915.2008.00747.x
PubMed: 18785934
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pubmed:18785934Le document en format XML
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De La Rocque</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2008">2008</date><idno type="RBID">pubmed:18785934</idno><idno type="pmid">18785934</idno><idno type="doi">10.1111/j.1365-2915.2008.00747.x</idno><idno type="wicri:Area/PubMed/Corpus">000314</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000314</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Land cover and tsetse fly distributions in sub-Saharan Africa.</title><author><name sortKey="Cecchi, G" sort="Cecchi, G" uniqKey="Cecchi G" first="G" last="Cecchi">G. Cecchi</name><affiliation><nlm:affiliation>Food and Agriculture Organization of the United Nations, Animal Production and Health Division, Rome, Italy. Giuliano.Cecchi@fao.org</nlm:affiliation></affiliation></author><author><name sortKey="Mattioli, R C" sort="Mattioli, R C" uniqKey="Mattioli R" first="R C" last="Mattioli">R C Mattioli</name></author><author><name sortKey="Slingenbergh, J" sort="Slingenbergh, J" uniqKey="Slingenbergh J" first="J" last="Slingenbergh">J. Slingenbergh</name></author><author><name sortKey="De La Rocque, S" sort="De La Rocque, S" uniqKey="De La Rocque S" first="S" last="De La Rocque">S. De La Rocque</name></author></analytic><series><title level="j">Medical and veterinary entomology</title><idno type="eISSN">1365-2915</idno><imprint><date when="2008" type="published">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Africa South of the Sahara</term><term>Animals</term><term>Demography</term><term>Ecosystem</term><term>Insect Control</term><term>Trees</term><term>Tsetse Flies (classification)</term><term>Tsetse Flies (physiology)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Africa South of the Sahara</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Tsetse Flies</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Tsetse Flies</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Demography</term><term>Ecosystem</term><term>Insect Control</term><term>Trees</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This study aims to provide trypanosomiasis-affected countries with standardized datasets and methodologies for mapping the habitat of the tsetse fly (Glossina spp., the disease vector) by customizing and integrating state-of-the-art land cover maps on different spatial scales. Using a combination of inductive and deductive approaches, land cover and fly distribution maps are analysed in a geographic information system (GIS) to estimate the suitability of different land cover units for the three groups (subgenera) of Glossina. All land cover datasets used for and produced by the study comply with the Land Cover Classification System (LCCS). At the continental scale, a strong correlation between land cover and tsetse habitat is found for both the fusca and palpalis groups, whereas a weaker correlation found for the morsitans group may be indicative of less restrictive ecological requirements. At the regional and national levels, thematic aggregation of the multi-purpose Africover datasets yielded high-resolution, standardized land cover maps tailored for tsetse habitat for eight East African countries. The national maps provide remarkable spatial resolution, thematic detail and geographical coverage. They may be applied in subsequent phases of tsetse and trypanosomiasis control projects, including the planning of entomological surveys, actual tsetse control operations and planning for land use in reclaimed areas. The methodology and datasets discussed in the paper may have applications beyond the tsetse and trypanosomiasis issue and may be used with reference to other arthropod vectors, vector-borne and parasitic diseases.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">18785934</PMID><DateCreated><Year>2009</Year><Month>01</Month><Day>07</Day></DateCreated><DateCompleted><Year>2009</Year><Month>03</Month><Day>25</Day></DateCompleted><DateRevised><Year>2009</Year><Month>01</Month><Day>07</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1365-2915</ISSN><JournalIssue CitedMedium="Internet"><Volume>22</Volume><Issue>4</Issue><PubDate><Year>2008</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Medical and veterinary entomology</Title><ISOAbbreviation>Med. Vet. Entomol.</ISOAbbreviation></Journal><ArticleTitle>Land cover and tsetse fly distributions in sub-Saharan Africa.</ArticleTitle><Pagination><MedlinePgn>364-73</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/j.1365-2915.2008.00747.x</ELocationID><Abstract><AbstractText>This study aims to provide trypanosomiasis-affected countries with standardized datasets and methodologies for mapping the habitat of the tsetse fly (Glossina spp., the disease vector) by customizing and integrating state-of-the-art land cover maps on different spatial scales. Using a combination of inductive and deductive approaches, land cover and fly distribution maps are analysed in a geographic information system (GIS) to estimate the suitability of different land cover units for the three groups (subgenera) of Glossina. All land cover datasets used for and produced by the study comply with the Land Cover Classification System (LCCS). At the continental scale, a strong correlation between land cover and tsetse habitat is found for both the fusca and palpalis groups, whereas a weaker correlation found for the morsitans group may be indicative of less restrictive ecological requirements. At the regional and national levels, thematic aggregation of the multi-purpose Africover datasets yielded high-resolution, standardized land cover maps tailored for tsetse habitat for eight East African countries. The national maps provide remarkable spatial resolution, thematic detail and geographical coverage. They may be applied in subsequent phases of tsetse and trypanosomiasis control projects, including the planning of entomological surveys, actual tsetse control operations and planning for land use in reclaimed areas. The methodology and datasets discussed in the paper may have applications beyond the tsetse and trypanosomiasis issue and may be used with reference to other arthropod vectors, vector-borne and parasitic diseases.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Cecchi</LastName><ForeName>G</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Food and Agriculture Organization of the United Nations, Animal Production and Health Division, Rome, Italy. 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