Please use this identifier to cite or link to this item:
http://hdl.handle.net/11667/159
Appears in Collections: | University of Stirling Research Data |
Title: | Datasets for Long-term collapse in fruit availability threatens Central African forest megafauna |
Creator(s): | Bush, Emma R Whytock, Robin C Bahaa-el-din, Laila Bourgeois, Stéphanie Bunnefeld, Nils Cardoso, Anabelle W Dikangadissi, Jean-Thoussaint Dimbonda, Pacôme Dimoto, Edmond Ndong, Josué Edzang Jeffery, Kathryn J Lehmann, David Makaga, Loïc Momboua, Brice Momont, Ludovic R W Tutin, Caroline E G White, Lee J T Whittaker, Alden Abernethy, Katharine |
Contact Email: | robbie.whytock1@stir.ac.uk |
Keywords: | Tropical forests Tropical phenology Long-term monitoring Climate change Congo basin forest Megafauna Loxodonta cyclotis Forest Elephants |
Date Available: | 7-Aug-2020 |
Citation: | Bush, ER; Whytock, RC; Bahaa-el-din, L; Bourgeois, S; Bunnefeld, N; Cardoso, AW; Dikangadissi, JT; Dimbonda, P; Dimoto, E; Ndong, JE; Jeffery, KJ; Lehmann, D; Makaga, L; Momboua, B; Momont, LRW; Tutin, CEG; White, LJT; Whittaker, A; Abernethy, K (2020): Bush & Whytock et al. 2020 Dataset. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/159 |
Publisher: | University of Stirling. Faculty of Natural Sciences. |
Dataset Description (Abstract): | These data accompany the paper "Bush and Whytock et al. 2020. Long-term collapse in fruit availability threatens Central African forest megafauna. Science, DOI: 10.1126/science.abc7791 |
Dataset Description (TOC): | (1) LopéReproPhenology.csv - Monthly observations of flower and fruit phenology for all trees (n=73 species, 2007 individuals) selected for this analysis from the long-term phenology database recorded at Lopé National Park, Gabon (http://hdl.handle.net/11667/152). (2) LopéTreesDBH.csv - Diameter at breast height (DBH) and relative size measurements for all trees (n=73 species, 2007 individuals) selected for this analysis from the long-term phenology database recorded at Lopé National Park, Gabon (http://hdl.handle.net/11667/152). (3) public_bodyCondition_Dec2019.csv - Body condition scores from elephant photographs taken between 1997 and 2019 at Lopé National Park, Gabon |
Type: | dataset |
Contract/Grant Title: | EU H2020 EU 11eme FED ECOFAC6 programme in Gabon University of Oxford’s Hertford College Mortimer-May scholarship |
Funder(s): | University of Stirling Agence National des Parcs Nationaux (ANPN) (2010 - 2016) Impact Studentship funded by the University of Stirling and ANPN (2013-2016) International Centre for Medical Research in Franceville (CIRMF) (1986-2010) European Union (EU) Wildlife Conservation Society University of Oxford European Research Council (ERC) |
Contract/Grant Number: | GABON - 04962 00045 ERC grant agreement no. 679651 |
Geographic Location(s): | Lopé National Park, Gabon |
Time Period: | 1986-2019 |
URI: | http://hdl.handle.net/11667/159 |
Rights: | Phenology data are under copyright of the authors © Tutin, CEG; Abernethy, K; White, L; Dimoto, E; Dikangadissi, JT; Jeffery, KJ; Momont, L; Ukizintambara, T; Bush, ER, 2020. Elephant body condition score data are under copyright of all authors listed in Bush & Whytock et al. 2020. These data are provided for verifying the results presented in Bush & Whytock et al. 2020 and belong to the data authors and to the government of Gabon under the Nagoya Protocol. Requests for permission to work with these data for new research must be directed to the data authors via repository.librarian@stir.ac.uk and to the Gabonese government via the National Parks Agency at science@parcsgabon.ga. Co-authorship should be offered to all data authors upon use of this data. |
Affiliation(s) of Dataset Creator(s): | University of Stirling (Biological and Environmental Sciences) Agence National des Parcs Nationaux (ANPN), Gabon National Centre of Scientific and Technological Research (CENAREST), Gabon |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
LopéTreesDBH.csv | 42.75 kB | Unknown | View/Open | |
LopéReproPhenology.csv | 15.96 MB | Unknown | View/Open | |
public_bodyCondition_Dec2019.csv | 1.93 MB | Unknown | View/Open |
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