Literature DB >> 30690371

Policy-driven monitoring and evaluation: Does it support adaptive management of socio-ecological systems?

Kerry A Waylen1, Kirsty L Blackstock2, Freddy J van Hulst2, Carmen Damian3, Ferenc Horváth4, Richard K Johnson5, Robert Kanka6, Mart Külvik7, Christopher J A Macleod8, Kristian Meissner9, Mihaela M Oprina-Pavelescu3, Joan Pino10, Eeva Primmer9, Geta Rîșnoveanu3, Barbora Šatalová6, Jari Silander11, Jana Špulerová6, Monika Suškevičs7, Jan Van Uytvanck12.   

Abstract

Inadequate Monitoring and Evaluation (M&E) is often thought to hinder adaptive management of socio-ecological systems. A key influence on environmental management practices are environmental policies: however, their consequences for M&E practices have not been well-examined. We examine three policy areas - the Water Framework Directive, the Natura 2000 Directives, and the Agri-Environment Schemes of the Common Agricultural Policy - whose statutory requirements influence how the environment is managed and monitored across Europe. We use a comparative approach to examine what is monitored, how monitoring is carried out, and how results are used to update management, based on publicly available documentation across nine regional and national cases. The requirements and guidelines of these policies have provided significant impetus for monitoring: however, we find this policy-driven M&E usually does not match the ideals of what is needed to inform adaptive management. There is a tendency to focus on understanding state and trends rather than tracking the effect of interventions; a focus on specific biotic and abiotic indicators at the expense of understanding system functions and processes, especially social components; and limited attention to how context affects systems, though this is sometimes considered via secondary data. The resulting data are sometimes publicly-accessible, but it is rarely clear if and how these influence decisions at any level, whether this be in the original policy itself or at the level of measures such as site management plans. Adjustments to policy-driven M&E could better enable learning for adaptive management, by reconsidering what supports a balanced understanding of socio-ecological systems and decision-making. Useful strategies include making more use of secondary data, and more transparency in data-sharing and decision-making. Several countries and policy areas already offer useful examples. Such changes are essential given the influence of policy, and the urgency of enabling adaptive management to safeguard socio-ecological systems.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adaptive management; Environmental governance; Monitoring & evaluation; Policy; Socio-ecological systems; Sustainability

Year:  2019        PMID: 30690371     DOI: 10.1016/j.scitotenv.2018.12.462

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Synthesizing evidence in sustainability science through harmonized experiments: Community monitoring in common pool resources.

Authors:  Paul J Ferraro; Arun Agrawal
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-20       Impact factor: 11.205

2.  Impact of Regional Green Development Strategy on Environmental Total Factor Productivity: Evidence from the Yangtze River Economic Belt, China.

Authors:  Kailu Guo; Shixiang Li; Zhanqi Wang; Jianru Shi; Jun Bai; Jinhua Cheng
Journal:  Int J Environ Res Public Health       Date:  2021-03-03       Impact factor: 3.390

  2 in total

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