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

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 focuse...

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Bibliographic Details
Main Authors: 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
Other Authors: MRC - Medical Research Council, European Union’s H2020/ERC, UN-AEWA, 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
Format: Dataset
Language:unknown
Published: University of Stirling, Faculty of Natural Sciences 2022
Subjects:
Online Access:http://hdl.handle.net/11667/195
Description
Summary: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). 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).