Missing the trees for the wood: why we are failing to see success in pro-poor conservation

T. E. Davies (Lead / Corresponding author), I. R. A. Fazey, W. Cresswell, N. Pettorelli

    Research output: Contribution to journalArticlepeer-review

    28 Citations (Scopus)

    Abstract

    Pro-poor conservation strategies are touted as a panacea for achieving biodiversity conservation and poverty reduction, yet there remains limited evidence for success in achieving these dual objectives. Is this lack of evidence a sign that the approach is failing or an indicator that we are not capturing appropriate measures of success? In this review, we demonstrate that the lack of evidence for success in pro-poor conservation can be attributed to focusing on the bigger picture and overlooking the details. This has led to two fundamental flaws, (1) an ambiguous use of definitions and (2) inappropriate monitoring, both of which are compounded by limited understanding between traditional scientific disciplines and which render true conclusion of success impossible. Due to the current lack of evidence, pro-poor conservation risks basing decisions on belief rather than evidence, repeating mistakes and missing opportunities to replicate successes. We propose five key recommendations that will facilitate the identification of successful pro-poor conservation interventions and the conditions under which they work. Adoption of these recommendations will ensure pro-poor conservation is built on clear definitions and engages in meaningful participation with rigorous monitoring and reporting of outcomes, aiding replication and scaling up of pro-poor conservation successes in intelligent and evidence-based ways.
    Original languageEnglish
    Article number12094
    Pages (from-to)303-312
    Number of pages10
    JournalAnimal Conservation
    Volume17
    Issue number4
    Early online date21 Nov 2013
    DOIs
    Publication statusPublished - 2014

    Keywords

    • Biodiversity
    • poverty
    • success
    • Interdisciplinary
    • Monitoring
    • Adaptive management

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