Correspondence in Forest Species Composition Between The Vegetation Map Of Africa And Higher Resolution Maps For Seven African Countries. Applied Vegetation Science. Article First Published Online:

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dc.contributor.authorKindt, Roeland
dc.contributor.authorLillesø, Jens-Peter B.
dc.contributor.authorBreugel, Paulo V.
dc.contributor.authorBingham, M.
dc.contributor.authorDemissew, Sebsebe
dc.contributor.authorDudley, C.
dc.contributor.authorFriis, I.
dc.contributor.authorGachathi, Francis
dc.contributor.authorKalema, James
dc.contributor.authorMbago, Frank
dc.contributor.authorMoshi, Heriel N.
dc.contributor.authorMulumba, John W.
dc.contributor.authorNamaganda, Mary
dc.contributor.authorNdangalasi, Henry J.
dc.contributor.authorRuffo, Christopher K.
dc.contributor.authorMinani, VĂ©daste
dc.contributor.authorJamnadass, Ramni H.
dc.contributor.authorGraudal, Lars
dc.date.accessioned2016-07-08T12:31:35Z
dc.date.available2016-07-08T12:31:35Z
dc.date.issued2012-12
dc.descriptionFull text can be accessed at http://onlinelibrary.wiley.com/doi/10.1111/avsc.12055/fullen_US
dc.description.abstractQuestion How well does the forest classification system of the 1:5,000,000 vegetation map of Africa developed by Frank White correspond with classification systems and more extensive information on species assemblages of higher resolution maps developed for Ethiopia, Kenya, Malawi, Rwanda, Tanzania, Uganda and Zambia? Methods We reviewed various national and sub-national vegetation maps for their potential in increasing the resolution of the African map. Associated documentation was consulted to compile species assemblages, and to identify indicator species, for national forest vegetation types. Indicator species were identified for each regional forest type by selecting those species that, among all the species listed for the same phytochorion (regional centre of endemism), were listed only for that forest type. For each of the national forest types, we counted the number of indicator species of the anticipated regional type. Floristic relationships (expressed by four different ecological distance measures) among national forest types were investigated based on distance-based redundancy analysis, permutational multivariate analysis of variance (PERMANOVA) using distance matrices and hierarchical clustering.en_US
dc.identifier.citationKindt, R., Lillesø, J.P.B., Breugel, P., Bingham, M., Demissew, S., Dudley, C., Friis, I., Gachathi, F., Kalema, J., Mbago, F. and Moshi, H.N., 2014. Correspondence in forest species composition between the Vegetation Map of Africa and higher resolution maps for seven African countries. Applied Vegetation Science, 17(1), pp.162-171.en_US
dc.identifier.doi10.1111/avsc.12055
dc.identifier.urihttp://hdl.handle.net/20.500.11810/2946
dc.language.isoenen_US
dc.publisherWileyen_US
dc.subjectBeta-sim distanceen_US
dc.subjectEthiopiaen_US
dc.subjectFrank Whiteen_US
dc.subjectIndicator speciesen_US
dc.subjectKenyaen_US
dc.subjectKulczynski distanceen_US
dc.subjectMalawien_US
dc.subjectPhytochorionen_US
dc.subjectRwandaen_US
dc.subjectTanzaniaen_US
dc.subjectUgandaen_US
dc.subjectZambiaen_US
dc.titleCorrespondence in Forest Species Composition Between The Vegetation Map Of Africa And Higher Resolution Maps For Seven African Countries. Applied Vegetation Science. Article First Published Online:en_US
dc.typeJournal Articleen_US
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