Survey questionnaires: data collection for understanding management conditions
Westin, Kerstin; Wood, Claire ORCID: https://orcid.org/0000-0002-0394-2998; Vilhar, Urša; Hedblom, Marcus. 2023 Survey questionnaires: data collection for understanding management conditions. In: Allard, Anna; Keskitalo, E. Carina H.; Brown, Alan, (eds.) Monitoring biodiversity: combining environmental and social data. Abingdon, Routledge, 247-260.
Before downloading, please read NORA policies.
|
Text
N534202BC.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (800kB) | Preview |
Abstract/Summary
Chapter 13. This chapter focuses on the use of questionnaire surveys to quantitatively assess how people's attitudes and behaviours affect land use and land management. Questionnaires are an established method of improving our knowledge of how different land users (e.g. small-scale forest owners or farmers) and the public think about, respond to, and potentially evade issues of interest. The chapter defines questionnaires, describes their design, and discusses how questionnaires from different countries or from a regional context can be compared. In common with other chapters in this book, the goal is to clarify the extent to which the methodology can capture varying contexts and deliver an understanding of information about differences in the areas for which the studies are designed. Figures and tables contain examples from multi-national questionnaires about land management and how questionnaires can be used in monitoring.
Item Type: | Publication - Book Section |
---|---|
Digital Object Identifier (DOI): | https://doi.org/10.4324/9781003179245-13 |
UKCEH and CEH Sections/Science Areas: | Soils and Land Use (Science Area 2017-) |
ISBN: | 9781032015934 |
Additional Information. Not used in RCUK Gateway to Research.: | Open Access - full text available via Official URL link. |
NORA Subject Terms: | Ecology and Environment |
Date made live: | 13 Mar 2023 17:06 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/534202 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year