A meta-analysis of molecular marker genetic datasets for eastern Africa trees supports the utility of potential natural vegetation maps for planning climate-smart restoration initiatives

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dc.creatorBreugel, P. van
dc.creatorCoe, R.
dc.creatorKindt, Roeland
dc.creatorZonneveld, M. van
dc.creatorLillesø, Jens-Peter B.
dc.creatorGraudal, Lars
dc.creatorMuchugi, A.
dc.creatorRussell, J.
dc.creatorJamnadass, Ramni H.
dc.creatorDawson, Ian K.
dc.date2017-08
dc.date2017-06-09T11:44:03Z
dc.date2017-06-09T11:44:03Z
dc.date.accessioned2026-06-27T13:48:05Z
dc.identifierhttps://hdl.handle.net/10568/81503
dc.identifier.urihttp://hdl.handle.net/123456789/66153
dc.languageen
dc.publisherSpringer
dc.rightsLimited Access
dc.sourceDawson, I.K.; van Breugel, P.; Coe, R.; Kindt, R.; van Zonneveld, M.; Lilleso, J-P.; Graudal, L.; Muchugi, A.; Russell, J.; Jamnadass, R. (2017) A meta-analysis of molecular marker genetic datasets for eastern Africa trees supports the utility of potential natural vegetation maps for planning climate-smart restoration initiatives. Tree Genetics & Genomes 13:71. ISSN:1614-2942
dc.subjectmodels
dc.subjectforest landscape conservation
dc.subjectgenetic markers
dc.subjectgenetic variation
dc.subjectnatural environment
dc.subjecthorticulture
dc.subjectgenetics
dc.subjectmolecular biology
dc.subjectforestry
dc.titleA meta-analysis of molecular marker genetic datasets for eastern Africa trees supports the utility of potential natural vegetation maps for planning climate-smart restoration initiatives
dc.typeJournal Article

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