arrow
Return

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

delete2019-04-01
delete48
delete
OA
AI
K
Kerry A. Waylen *
K
Kirsty Blackstock
F
Freddy Van Hulst
C
Carmen Damian
F
Ferenc Horváth
R
Richard K. Johnson
R
Róbert Kanka
M
Mart Külvik
C
C. J. A. Macleod
K
Kristian Meissner
M
Mihaela M. Oprina-Pavelescu
J
Joan Pino
E
Eeva Primmer
G
Geta Rîşnoveanu
B
Barbora Šatalová
J
Jari Silander
M
Monika Suškevičs
J
Jan Van Uytvanck
DOI:10.1016/j.scitotenv.2018.12.462delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
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. (C) 2019 The Authors. Published by Elsevier B.V.
Keywords:
Adaptive management
Environmental governance
Policy
Monitoring & evaluation
Socio-ecological systems
Sustainability
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Science of The Total Environment cover
Science of The Total Environment
IF:
8
Papers:
7.1W
Citations:
46.4W

Organization

J
James Hutton Institute
Scholars:
2.5K
Papers: 2.8K
Citations: 4.4K
S
slovak academy of sciences
Scholars:
9.4K
Papers: 7.9K
Citations: 4
H
Hungarian Academy of Sciences
Scholars:
7.9K
Papers: 5.6K
Citations: 7.5K
H
Hun-ren Centre for Ecological Research
Scholars:
704
Papers: 542
Citations: 0
U
University of Bucharest
Scholars:
4.5K
Papers: 3.5K
Citations: 3.8K
S
Swedish University of Agricultural Sciences
Scholars:
1.1W
Papers: 1.2W
Citations: 2.1W
H
hun-ren
Scholars:
1.2W
Papers: 9.4K
Citations: 14
A
Autonomous University of Barcelona
Scholars:
3.6W
Papers: 2.6W
Citations: 47
Estonian University of Life Sciences cover
Estonian University of Life Sciences
Scholars:
2.0K
Papers: 1.4K
Citations: 2.5K
Finnish Environment Institute cover
Finnish Environment Institute
Scholars:
1.7K
Papers: 1.8K
Citations: 3.7K
researcher View more organizations