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5 - Taking stock of nature in species-rich but economically poor areas: an emerging discipline of locally based monitoring

Published online by Cambridge University Press:  06 December 2010

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Summary

Introduction

Conventional scientist-executed forms of monitoring are expensive and rely upon highly skilled scientists or technicians (Danielsen et al., 2000). As such only a small amount of this type of monitoring is undertaken in developing countries, where funding and available expertise are limited. This is unfortunate as the developing countries have the greatest importance globally in terms of their assemblages of species, including those threatened by extinction, and also have a great diversity of habitats and important ecosystem services (Millenium Ecosystem Assessment, 2005). They are also the parts of the world where habitat loss is currently proceeding at the greatest speed, and where we know least about the trends in species abundance (Balmford, Green and Jenkins, 2003; IUCN, 2007).

Recently, experiments have been made to involve less educated local people in monitoring of natural resources in developing countries. Although there are still a number of scientific questions surrounding these approaches, and many schemes are still at an early stage of development, the new approaches show a great deal of promise (Danielsen, Burgess and Balmford, 2005a; Danielsen, Burgess and Balmford, 2005c). This chapter analyses the success and challenges of four schemes that stand out from the majority, because they have been replicated and scaled-up, and are now institutionalized and adopted nationally in the respective countries. We begin by describing and explaining the activities and outcomes for each of the four schemes, before presenting our own cross-cutting analysis of the benefits and challenges of such approaches.

Type
Chapter
Information
Taking Stock of Nature
Participatory Biodiversity Assessment for Policy, Planning and Practice
, pp. 88 - 112
Publisher: Cambridge University Press
Print publication year: 2010

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