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

Bibliographic Details
Main Authors: Breugel, P. van, Coe, R., Kindt, Roeland, Zonneveld, M. van, Lillesø, Jens-Peter B., Graudal, Lars, Muchugi, A., Russell, J., Jamnadass, Ramni H., Dawson, Ian K.
Format: Journal Article
Language:Inglés
Published: Springer 2017
Subjects:
Online Access:https://hdl.handle.net/10568/81503
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author Breugel, P. van
Coe, R.
Kindt, Roeland
Zonneveld, M. van
Lillesø, Jens-Peter B.
Graudal, Lars
Muchugi, A.
Russell, J.
Jamnadass, Ramni H.
Dawson, Ian K.
author_browse Breugel, P. van
Coe, R.
Dawson, Ian K.
Graudal, Lars
Jamnadass, Ramni H.
Kindt, Roeland
Lillesø, Jens-Peter B.
Muchugi, A.
Russell, J.
Zonneveld, M. van
author_facet Breugel, P. van
Coe, R.
Kindt, Roeland
Zonneveld, M. van
Lillesø, Jens-Peter B.
Graudal, Lars
Muchugi, A.
Russell, J.
Jamnadass, Ramni H.
Dawson, Ian K.
author_sort Breugel, P. van
collection Repository of Agricultural Research Outputs (CGSpace)
format Journal Article
id CGSpace81503
institution CGIAR Consortium
language Inglés
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Springer
publisherStr Springer
record_format dspace
spelling CGSpace815032023-12-08T19:36:04Z 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 Breugel, P. van Coe, R. Kindt, Roeland Zonneveld, M. van Lillesø, Jens-Peter B. Graudal, Lars Muchugi, A. Russell, J. Jamnadass, Ramni H. Dawson, Ian K. models forest landscape conservation genetic markers genetic variation natural environment horticulture genetics molecular biology forestry 2017-08 2017-06-09T11:44:03Z 2017-06-09T11:44:03Z Journal Article https://hdl.handle.net/10568/81503 en Limited Access Springer Dawson, 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
spellingShingle models
forest landscape conservation
genetic markers
genetic variation
natural environment
horticulture
genetics
molecular biology
forestry
Breugel, P. van
Coe, R.
Kindt, Roeland
Zonneveld, M. van
Lillesø, Jens-Peter B.
Graudal, Lars
Muchugi, A.
Russell, J.
Jamnadass, Ramni H.
Dawson, Ian K.
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic models
forest landscape conservation
genetic markers
genetic variation
natural environment
horticulture
genetics
molecular biology
forestry
url https://hdl.handle.net/10568/81503
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