Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.

Conservation priorities for Prunus africana, a tree species found across Afromontane regions, which is of great commercial interest internationally and of local value for rural communities, were defined with the aid of spatial analyses applied to a set of georeferenced molecular marker data (chlorop...

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Autores principales: Barbara Vinceti, Judy Loo, Hannes Gaisberger, Maarten J van Zonneveld, Silvio Schueler, Heino Konrad, Caroline A C Kadu, Thomas Geburek
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spelling oai:doaj.org-article:1c3e02abf9d24cd29567761d5910314c2021-11-18T07:51:43ZConservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.1932-620310.1371/journal.pone.0059987https://doaj.org/article/1c3e02abf9d24cd29567761d5910314c2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23544118/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Conservation priorities for Prunus africana, a tree species found across Afromontane regions, which is of great commercial interest internationally and of local value for rural communities, were defined with the aid of spatial analyses applied to a set of georeferenced molecular marker data (chloroplast and nuclear microsatellites) from 32 populations in 9 African countries. Two approaches for the selection of priority populations for conservation were used, differing in the way they optimize representation of intra-specific diversity of P. africana across a minimum number of populations. The first method (S1) was aimed at maximizing genetic diversity of the conservation units and their distinctiveness with regard to climatic conditions, the second method (S2) at optimizing representativeness of the genetic diversity found throughout the species' range. Populations in East African countries (especially Kenya and Tanzania) were found to be of great conservation value, as suggested by previous findings. These populations are complemented by those in Madagascar and Cameroon. The combination of the two methods for prioritization led to the identification of a set of 6 priority populations. The potential distribution of P. africana was then modeled based on a dataset of 1,500 georeferenced observations. This enabled an assessment of whether the priority populations identified are exposed to threats from agricultural expansion and climate change, and whether they are located within the boundaries of protected areas. The range of the species has been affected by past climate change and the modeled distribution of P. africana indicates that the species is likely to be negatively affected in future, with an expected decrease in distribution by 2050. Based on these insights, further research at the regional and national scale is recommended, in order to strengthen P. africana conservation efforts.Barbara VincetiJudy LooHannes GaisbergerMaarten J van ZonneveldSilvio SchuelerHeino KonradCaroline A C KaduThomas GeburekPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e59987 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Barbara Vinceti
Judy Loo
Hannes Gaisberger
Maarten J van Zonneveld
Silvio Schueler
Heino Konrad
Caroline A C Kadu
Thomas Geburek
Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.
description Conservation priorities for Prunus africana, a tree species found across Afromontane regions, which is of great commercial interest internationally and of local value for rural communities, were defined with the aid of spatial analyses applied to a set of georeferenced molecular marker data (chloroplast and nuclear microsatellites) from 32 populations in 9 African countries. Two approaches for the selection of priority populations for conservation were used, differing in the way they optimize representation of intra-specific diversity of P. africana across a minimum number of populations. The first method (S1) was aimed at maximizing genetic diversity of the conservation units and their distinctiveness with regard to climatic conditions, the second method (S2) at optimizing representativeness of the genetic diversity found throughout the species' range. Populations in East African countries (especially Kenya and Tanzania) were found to be of great conservation value, as suggested by previous findings. These populations are complemented by those in Madagascar and Cameroon. The combination of the two methods for prioritization led to the identification of a set of 6 priority populations. The potential distribution of P. africana was then modeled based on a dataset of 1,500 georeferenced observations. This enabled an assessment of whether the priority populations identified are exposed to threats from agricultural expansion and climate change, and whether they are located within the boundaries of protected areas. The range of the species has been affected by past climate change and the modeled distribution of P. africana indicates that the species is likely to be negatively affected in future, with an expected decrease in distribution by 2050. Based on these insights, further research at the regional and national scale is recommended, in order to strengthen P. africana conservation efforts.
format article
author Barbara Vinceti
Judy Loo
Hannes Gaisberger
Maarten J van Zonneveld
Silvio Schueler
Heino Konrad
Caroline A C Kadu
Thomas Geburek
author_facet Barbara Vinceti
Judy Loo
Hannes Gaisberger
Maarten J van Zonneveld
Silvio Schueler
Heino Konrad
Caroline A C Kadu
Thomas Geburek
author_sort Barbara Vinceti
title Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.
title_short Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.
title_full Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.
title_fullStr Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.
title_full_unstemmed Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.
title_sort conservation priorities for prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/1c3e02abf9d24cd29567761d5910314c
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