Monitoring in adaptive co-management: toward a learning based approach
Abstract
The recognition of complexity and uncertainty in natural resource management has lead to the development of a wealth of conceptual frameworks aimed at integrated assessment and complex systems monitoring. Relatively less attention has however been given to methodological approaches that might facilitate learning as part of the monitoring process. This paper reviews the monitoring literature relevant to adaptive co-management, with a focus on the synergies between existing monitoring frameworks, collaborative monitoring approaches and social learning. The paper discusses the role of monitoring in environmental management in general, and the challenges posed by scale and complexity when monitoring in adaptive co-management. Existing conceptual frameworks for monitoring relevant to adaptive co-management are reviewed, as are lessons from experiences with collaborative monitoring. The paper concludes by offering a methodological approach to monitoring that actively seeks to engender reflexive learning as a means to deal with uncertainty in natural resource management.
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Studying the effects of actions is necessary but it is important to also build understanding about systems' processes, socioeconomic dimensions, and context that influences the system.
“Studying the effects of actions is necessary but it is important to also build understanding about systems' processes (e.g. Cundill and Fabricius, 2009), socioeconomic dimensions (e.g. Chapman, 2014), and context that influences the system (Morandi et al., 2014)”
From Policy-driven monitoring and evaluation: Does it support adaptive management of socio-ecological systems? (2019) · cites this paper as Cundill and Fabricius, 2009
Cites
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“In order to capture some of these intangible outcomes, monitoring the process of implementation as well as the outcomes is necessary (Conley and Moote, 2003; Hockings, 2003).”
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Integrating local and scientific knowledge for environmental management
Raymond, C. M., Fazey, I., Reed, M. S., Stringer, L. C., Robinson, G. M., & Evely, A. C. (2010) · Journal of Environmental Management · doi:10.1016/j.jenvman.2010.03.023 · Cited by 1,116 · see citing works
Waylen, K. A., Blackstock, K. L., van Hulst, F. J., Damian, C., Horváth, F., Johnson, R. K., Kanka, R., Külvik, M., Macleod, C. J. A., Meissner, K., et al. (2019) · Science of the Total Environment · doi:10.1016/j.scitotenv.2018.12.462 · Cited by 83 · see citing works
“Studying the effects of actions is necessary but it is important to also build understanding about systems' processes (e.g. Cundill and Fabricius, 2009), socioeconomic dimensions (e.g. Chapman, 2014), and context that influences the system (Morandi et al., 2014); so that the cumulative effects on…”
BackgroundInfluentialRossing, W. A. H., Albicette, M. M., Aguerre, V., Leoni, C., Ruggia, A., & Dogliotti, S. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103103 · Cited by 62 · see citing works
A framework for monitoring social process and outcomes in environmental programs
Chapman, S. (2014) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2014.07.004 · Cited by 19 · see citing works
- Authors
- Cundill, G., & Fabricius, C.
- Affiliations
- Rhodes University (ZA)
- Corresponding author
- Cundill, Georgina
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 90
- Issue
- 11
- Pages
- 3205-3211
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W2147728317
- Cited by
- 178
- References
- 5
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 5 · 2023: 9 · 2022: 10 · 2021: 6 · 2020: 5 · 2019: 16 · 2018: 10 · 2017: 12 · 2016: 14 · 2015: 15 · 2014: 19 · 2013: 16 · 2012: 11
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Environmental Management (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Coastal and Marine Management
- Social Sciences › Public Administration › Public Policy and Administration Research
- Keywords
- adaptive co-management, monitoring, social learning, collaborative monitoring, reflexive learning, uncertainty, natural resource management, scale, complexity, integrated assessment, monitoring framework
- MeSH terms
- Conservation of Natural Resources, Cooperative Behavior, Environmental Monitoring, Learning
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