Information Flows in Community-Based Monitoring Exercises in the Ecuadorian Amazon
Community-based monitoring schemes provide alternatives to costly scientific monitoring projects. While evidence shows that local community inhabitants can consistently measure environmental changes, few studies have examined how learned monitoring skills get passed on within communities. Here, we t...
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Series: | International Journal of Zoology |
Online Access: | http://dx.doi.org/10.1155/2012/980520 |
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doaj-439a5e2fab924b3cb49e3063a3cc53d72020-11-25T00:09:20ZengHindawi LimitedInternational Journal of Zoology1687-84771687-84852012-01-01201210.1155/2012/980520980520Information Flows in Community-Based Monitoring Exercises in the Ecuadorian AmazonJohan A. Oldekop0Nathan K. Truelove1Santiago Villamarín2Richard F. Preziosi3Faculty of Life Sciences, The University of Manchester, Manchester M13 9PT, UKFaculty of Life Sciences, The University of Manchester, Manchester M13 9PT, UKMuseo Ecuatoriano de Ciencias Naturales, Quito 17078976, EcuadorFaculty of Life Sciences, The University of Manchester, Manchester M13 9PT, UKCommunity-based monitoring schemes provide alternatives to costly scientific monitoring projects. While evidence shows that local community inhabitants can consistently measure environmental changes, few studies have examined how learned monitoring skills get passed on within communities. Here, we trained members of indigenous Kichwa communities in the Ecuadorian Amazon to measure fern and dung beetle species richness and examined how well they could pass on the information they had learned to other members of their community. We subsequently compared locally gathered species richness data to estimates gathered by trained biologists. Our results provide further evidence that devolved monitoring protocols can provide similar data to that gathered by scientists. In addition, our results show that local inhabitants can effectively pass on learned information to other community members, which is particularly important for the longevity of community-based monitoring initiatives.http://dx.doi.org/10.1155/2012/980520 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Johan A. Oldekop Nathan K. Truelove Santiago Villamarín Richard F. Preziosi |
spellingShingle |
Johan A. Oldekop Nathan K. Truelove Santiago Villamarín Richard F. Preziosi Information Flows in Community-Based Monitoring Exercises in the Ecuadorian Amazon International Journal of Zoology |
author_facet |
Johan A. Oldekop Nathan K. Truelove Santiago Villamarín Richard F. Preziosi |
author_sort |
Johan A. Oldekop |
title |
Information Flows in Community-Based Monitoring Exercises in the Ecuadorian Amazon |
title_short |
Information Flows in Community-Based Monitoring Exercises in the Ecuadorian Amazon |
title_full |
Information Flows in Community-Based Monitoring Exercises in the Ecuadorian Amazon |
title_fullStr |
Information Flows in Community-Based Monitoring Exercises in the Ecuadorian Amazon |
title_full_unstemmed |
Information Flows in Community-Based Monitoring Exercises in the Ecuadorian Amazon |
title_sort |
information flows in community-based monitoring exercises in the ecuadorian amazon |
publisher |
Hindawi Limited |
series |
International Journal of Zoology |
issn |
1687-8477 1687-8485 |
publishDate |
2012-01-01 |
description |
Community-based monitoring schemes provide alternatives to costly scientific monitoring projects. While evidence shows that local community inhabitants can consistently measure environmental changes, few studies have examined how learned monitoring skills get passed on within communities. Here, we trained members of indigenous Kichwa communities in the Ecuadorian Amazon to measure fern and dung beetle species richness and examined how well they could pass on the information they had learned to other members of their community. We subsequently compared locally gathered species richness data to estimates gathered by trained biologists. Our results provide further evidence that devolved monitoring protocols can provide similar data to that gathered by scientists. In addition, our results show that local inhabitants can effectively pass on learned information to other community members, which is particularly important for the longevity of community-based monitoring initiatives. |
url |
http://dx.doi.org/10.1155/2012/980520 |
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