Authors: Eréndira AcevesBueno Adeyemi S Adeleye Darcy Bradley W Tyler Brandt Patrick Callery Marina Feraud Kendra L Garner Rebecca Gentry Yuxiong Huang Ian McCullough Isaac Pearlman Sara A Sutherland Whitney Wilkinson Yi Yang Trevor Zink Sarah E Anderson Christina Tague
Publish Date: 2015/02/04
Volume: 18, Issue: 3, Pages: 493-506
Abstract
Adaptive management is broadly recognized as critical for managing natural resources yet in practice it often fails to achieve intended results for two main reasons insufficient monitoring and inadequate stakeholder buyin Citizen science is gaining momentum as an approach that can inform natural resource management and has some promise for solving the problems faced by adaptive management Based on adaptive management literature we developed a set of criteria for successfully addressing monitoring and stakeholder related failures in adaptive management and then used these criteria to evaluate 83 citizen science case studies from peerreviewed literature The results suggest that citizen science can be a costeffective method to collect essential monitoring information and can also produce the high levels of citizen engagement that are vital to the adaptive management learning process The analysis also provides a set of recommendations for citizen science program design that addresses spatial and temporal scale data quality costs and effective incentives to facilitate participation and integration of findings into adaptive managementConceived of and designed study EAB ASA DB WB PC MF KG RG YH IM IP SS WW YY TZ SA CT performed research EAB ASA DB WB PC MF KG RG YH IM IP SS WW YY TZ analyzed data EAB ASA DB WB PC MF KG RG YH IM IP SS WW YY TZ SA CT wrote paper EAB ASA DB WB PC MF KG RG YH IM IP SS WW YY TZ SA CTWe gratefully acknowledge the support of the Bren School of Environmental Science Management at the University of California Santa Barbara This paper is the product of an interdisciplinary PhD seminar The first 15 authors were participants Anderson and Tague were the faculty leads
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