91 to 100 of 191 Results
MS Word - 669,0 KB -
MD5: 1d83c213e5da6c214848f1d32c9f4b5d
Database instructions for use (French) |
MS Word - 218,5 KB -
MD5: 86622b720acf2faa2d3d76fef4d0262f
Questionnaire revised at the end of the study for possible replication |
MS Word - 303,0 KB -
MD5: bb1d5aae095964260f61e094940b261a
Original study questionnaire |
21 sept. 2021
Cornélis, Daniel; van Vliet, Nathalie; Nguinguiri, Jean-Claude; Gaidet, Nicolas; Ayaya, Idriss; Broussolle, Lucile; Fagot, Rémy; Granier, Etienne; Houngbegnon, Fructueux; Sandrin, François; Vanegas, Liliana; Yapi, Fabrice; Ampolo, Alain; Bivigou, Abdon; MbuyiBilonda, Brigitte; Le Bel, Sebastien, 2021, "Hunting offtake dataset of the project "Sustainable Management of the Wildlife and Bushmeat Sector in Central Africa"", https://doi.org/10.18167/DVN1/SGAKNY, CIRAD Dataverse, V1
These data were collected from April to August 2014 as part of a study to assess the feasibility of village hunting management in 6 pilot village communities in Central Africa (Congo, Democratic Republic of Congo, Gabon). This anonymized dataset lists and describes approximately... |
21 sept. 2021 -
Hunting offtake dataset of the project "Sustainable Management of the Wildlife and Bushmeat Sector in Central Africa"
MS Excel Spreadsheet - 628,6 KB -
MD5: 703a46af78218c7bb269a3b581c96416
Hunting dataset (Excel) |
21 sept. 2021 -
Hunting offtake dataset of the project "Sustainable Management of the Wildlife and Bushmeat Sector in Central Africa"
MS Powerpoint - 1,9 MB -
MD5: 16437a7d24300708689301d81655187d
Preliminary exploration graphs and tables |
22 avr. 2021
Maxime Réjou-Méchain; Frédéric Mortier; Jean-Francois Bastin; Guillaume Cornu; Nicolas Barbier; Nicolas Bayol; Fabrice Bénédet; Xavier Bry; Gilles Dauby; Vincent Deblauwe; Jean-Louis Doucet; Charles Doumenge; Adeline Fayolle; Claude Garcia; Jean-Paul Kibambe; Jean-Joël Loumeto; Alfred Ngomanda; Pierre Ploton; Bonaventure Sonke; Catherine Trottier; Ruppert Vimal; Olga Yongo; Raphael Pelissier; Sylvie Gourlet-Fleury, 2021, "Maps of central African rainforest composition and vulnerability", https://doi.org/10.18167/DVN1/UCNCA7, CIRAD Dataverse, V3
This is a dataset repository for the manuscript: Réjou-Méchain, M., Mortier, F., Bastin, J.-F., Cornu G., Barbier, N., Bayol, N., Bénédet, F., Bry, X., Dauby, G., Deblauwe, V., Doucet, J.-L., Doumenge, C., Fayolle, A., Garcia, C., Kibambe, J.-P., Loumeto, J.-J., Ngomanda, A., Plo... |
Adobe PDF - 54,2 KB -
MD5: 8b228b7839fd0dd581a8c1026cf9d9b9
A rds file containing the total observed abundances of 193 taxa over 1,571 10-km grid cells as well as climate variables (see Extended Table 2 of Réjou-Méchain et al. 2021 Nature for details). Access may be granted for research purpose only. Researchers are thus invited to fill t... |
TIFF Image - 33,6 MB -
MD5: d34a7b83feec929e561ce6af2de26a9f
A stack containing predicted current and future (2085) anthropogenic pressure values in central Africa. |
TIFF Image - 213,3 KB -
MD5: d32b6bc9a3b6c6ccf8d465e57aa2a2d3
A stack containing the three non-standardized components of vulnerability (sensitivity, exposition and adaptation) and the resulting vulnerability to climate change for central African forests, respectively. See Fig. 4 of Réjou-Méchain et al. 2020 Nature. |