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Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots

Participatory mapping is increasingly used to map spatial variation in people's perceptions about ecosystem services. It has growing use in the identification of locations where places perceived to be important converge. Few recommendations have been published to navigate decisions about sampli...

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Autores principales: Carrie, Rachael H., Stringer, Lindsay C., Le, Thi Van Hue, Quang, Nguyen Hong, Hackney, Christopher R., Dao, Van Tan, Pham, Thi Thanh Nga, Quinn, Claire H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678758/
https://www.ncbi.nlm.nih.gov/pubmed/36425748
http://dx.doi.org/10.1016/j.mex.2022.101921
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author Carrie, Rachael H.
Stringer, Lindsay C.
Le, Thi Van Hue
Quang, Nguyen Hong
Hackney, Christopher R.
Dao, Van Tan
Pham, Thi Thanh Nga
Quinn, Claire H.
author_facet Carrie, Rachael H.
Stringer, Lindsay C.
Le, Thi Van Hue
Quang, Nguyen Hong
Hackney, Christopher R.
Dao, Van Tan
Pham, Thi Thanh Nga
Quinn, Claire H.
author_sort Carrie, Rachael H.
collection PubMed
description Participatory mapping is increasingly used to map spatial variation in people's perceptions about ecosystem services. It has growing use in the identification of locations where places perceived to be important converge. Few recommendations have been published to navigate decisions about sampling effort in participatory mapping research when polygon data is collected, although one recommendation is for ≥ 25 participants assuming each participant maps c. 4–5 polygons per ecosystem service. Underlying data informing this recommendation reflects a particular context: collected using postal questionnaires to map a vast spatial area in southern Australia. Although not intended as definitive or suited to all contexts, the 25 participant (or 100-125 polygon) minimum sometimes informs participatory mapping research. Our empirical work, undertaken using face-to-face questionnaires in a small Vietnamese coastal study area, suggests the recommendation may not be appropriate in all contexts. We propose a modified stepwise approach which: • Prioritises spatial agreement (polygon overlap) rather than polygon count and participant numbers to assess data sufficiency; • Uses narratives to triangulate outputs generated from participatory mapping data to reduce uncertainty related to low polygon counts.
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spelling pubmed-96787582022-11-23 Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots Carrie, Rachael H. Stringer, Lindsay C. Le, Thi Van Hue Quang, Nguyen Hong Hackney, Christopher R. Dao, Van Tan Pham, Thi Thanh Nga Quinn, Claire H. MethodsX Method Article Participatory mapping is increasingly used to map spatial variation in people's perceptions about ecosystem services. It has growing use in the identification of locations where places perceived to be important converge. Few recommendations have been published to navigate decisions about sampling effort in participatory mapping research when polygon data is collected, although one recommendation is for ≥ 25 participants assuming each participant maps c. 4–5 polygons per ecosystem service. Underlying data informing this recommendation reflects a particular context: collected using postal questionnaires to map a vast spatial area in southern Australia. Although not intended as definitive or suited to all contexts, the 25 participant (or 100-125 polygon) minimum sometimes informs participatory mapping research. Our empirical work, undertaken using face-to-face questionnaires in a small Vietnamese coastal study area, suggests the recommendation may not be appropriate in all contexts. We propose a modified stepwise approach which: • Prioritises spatial agreement (polygon overlap) rather than polygon count and participant numbers to assess data sufficiency; • Uses narratives to triangulate outputs generated from participatory mapping data to reduce uncertainty related to low polygon counts. Elsevier 2022-11-11 /pmc/articles/PMC9678758/ /pubmed/36425748 http://dx.doi.org/10.1016/j.mex.2022.101921 Text en © 2022 The Authors. Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Carrie, Rachael H.
Stringer, Lindsay C.
Le, Thi Van Hue
Quang, Nguyen Hong
Hackney, Christopher R.
Dao, Van Tan
Pham, Thi Thanh Nga
Quinn, Claire H.
Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots
title Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots
title_full Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots
title_fullStr Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots
title_full_unstemmed Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots
title_short Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots
title_sort recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem services hotspots
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678758/
https://www.ncbi.nlm.nih.gov/pubmed/36425748
http://dx.doi.org/10.1016/j.mex.2022.101921
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