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...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/35571 |
| _version_ | 1855527482020593664 |
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| author | Vinceti, B. Loo, J. Gaisberger, H. Zonneveld, M.J. van Schueler, S. Konrad, H. Kadu, C.A.C. Geburek, T. |
| author_browse | Gaisberger, H. Geburek, T. Kadu, C.A.C. Konrad, H. Loo, J. Schueler, S. Vinceti, B. Zonneveld, M.J. van |
| author_facet | Vinceti, B. Loo, J. Gaisberger, H. Zonneveld, M.J. van Schueler, S. Konrad, H. Kadu, C.A.C. Geburek, T. |
| author_sort | Vinceti, B. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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 | Journal Article |
| id | CGSpace35571 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | CGSpace355712025-11-12T05:42:56Z Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables Vinceti, B. Loo, J. Gaisberger, H. Zonneveld, M.J. van Schueler, S. Konrad, H. Kadu, C.A.C. Geburek, T. biodiversity genetic resources geographical distribution geographical information systems germplasm conservation prunus 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. 2013 2014-05-05T08:44:26Z 2014-05-05T08:44:26Z Journal Article https://hdl.handle.net/10568/35571 en Open Access application/pdf Public Library of Science Vinceti, B.; Loo, J.; Gaisberger, H.; van Zonneveld, M.J.; Schueler, S.; Konrad, H.; Kadu, C.A.C.; Geburek, T. -2013-Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables-PLoS ONE 8(3)-e59987 |
| spellingShingle | biodiversity genetic resources geographical distribution geographical information systems germplasm conservation prunus Vinceti, B. Loo, J. Gaisberger, H. Zonneveld, M.J. van Schueler, S. Konrad, H. Kadu, C.A.C. Geburek, T. Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables |
| title | 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_short | 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 |
| topic | biodiversity genetic resources geographical distribution geographical information systems germplasm conservation prunus |
| url | https://hdl.handle.net/10568/35571 |
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