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http://hdl.handle.net/11667/195| Appears in Collections: | University of Stirling Research Data |
| Title: | Dataset for Jones et al. (2022) "Achieving international biodiversity targets: learning from local norms, values and actions regarding migratory waterfowl management in Kazakhstan" Journal of Applied Ecology |
| Creator(s): | Jones, Isabel L Timoshenko, Alexey Zuban, Ivan Zhadan, Konstantin Cusack, Jeremy J Duthie, A Bradley Hodgson, Isla D Minderman, Jeroen Pozo, Rocío A Whytock, Robin C Bunnefeld, Nils |
| Keywords: | Biodiversity conservation targets Socio-ecological modelling |
| Date Available: | 5-May-2022 |
| Citation: | Jones, IL; Timoshenko, A; Zuban, I; Zhadan, K; Cusack, JJ; Duthie, AB; Hodgson, ID, Minderman, J; Pozo, RA; Whytock, RC; Bunnefeld, N (2022): Dataset for Jones et al. (2022) "Achieving international biodiversity targets: learning from local norms, values and actions regarding migratory waterfowl management in Kazakhstan" Journal of Applied Ecology. University of Stirling, Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/195 |
| Publisher: | University of Stirling, Faculty of Natural Sciences |
| Dataset Description (Abstract): | The dataset relates to socio-ecological surveys undertaken in September-October 2017 in Kazakhstan. The socio-ecological surveys were conducted in order to understand peoples' motivations for hunting waterfowl across the Kostanay and North Kazakhstan regions, as part of a UN-AEWA project focused on the conservation of the Lesser White-fronted Goose (Anser erythropus). The dataset contains fully anonymised data on participants' responses to socio-ecological questionnaires (please see related publication for full details). |
| Dataset Description (TOC): | The dataset comprises a MS Excel spreadsheet with data for each anonymised socio-ecological survey participant. Basic socio-economic information is included for each participant who gave informed consent to be included in the study. Socio-economic data are separated across spreadsheet columns, including information on e.g. gender, age, employment, hunting licence ownership. The spreadsheet also includes information on participants' knowledge of different waterfowl species' protection status, as well as values relating to participants' responses to the 'Unmatched Count Technique', a method used to anonymously explore the potential for illegal hunting activity (please see the associated publication for full details on methods). |
| Type: | dataset |
| Contract/Grant Title: | ConFooBio The Beacon Project: Using Biodiversity and Energy justice to resolve Conflicts between Sustainable Development Goals |
| Funder(s): | MRC - Medical Research Council European Union’s H2020/ERC UN-AEWA |
| Contract/Grant Number: | 679651 MR/T019018/1 |
| Worktribe Project ID: | 418889 1244952 |
| Geographic Location(s): | Kazakhstan |
| Time Period: | 09/2017-10/2017 |
| URI: | http://hdl.handle.net/11667/195 |
| Rights: | Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/ |
| Affiliation(s) of Dataset Creator(s): | University of Stirling (Biological and Environmental Sciences) Kazakhstan Association for the Conservation of Biodiversity (ACBK) M. Kozybayev North Kazakhstan State University Universidad Mayor Pontifical Catholic University of Valparaíso |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Jones_etal_SocioEcologicalSurveyData_Kazakhstan2017.xlsx | Dataset of socio-ecological surveys in Jones et al. (2022) Journal of Applied Ecology | 58.88 kB | Microsoft Excel XML | View/Open |
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