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Designing a monitoring system to detect signals to adapt to uncertain climate change
Open accessAbstract
Adaptive plans aim to anticipate uncertain future changes by combining low-regret short-term actions with long-term options to adapt, if necessary. Monitoring and timely detection of relevant changes, and critical transitions or tipping points is crucial to ensure successful and timely implementation and reassessment of the plan. Although efforts have been made to identify signposts to monitor, the question remains how to design a signal monitoring system that detects and anticipates (future) change to support adaptive planning. For example, to support water related infrastructure investments under uncertain climate change. What are good signposts to monitor and how to wisely analyse them to get timely and reliable signals for adaptation? In this paper, we present a framework for designing and using a monitoring plan as part of the Dynamic Adaptive Policy Pathways (DAPP) approach for decision making under uncertainty. We use the following criteria to evaluate signposts and their critical signal values: measurability, timeliness, reliability, convincibility and institutional connectivity. We illustrate the approach based on the signal monitoring system for the adaptive plan developed by the Delta Programme in the Netherlands.
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The next generation of scenarios for climate change research and assessment
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., et al. (2010) · Nature · doi:10.1038/nature08823 · Cited by 6,467
Early-warning signals for critical transitions
Scheffer, M., Bascompte, J., Brock, W. A., Brovkin, V., Carpenter, S. R., Dakos, V., Held, H., van Nes, E. H., Rietkerk, M., & Sugihara, G. (2009) · Nature · doi:10.1038/nature08227 · Cited by 4,854
Cited by
Rainfall trends in the African Sahel: Characteristics, processes, and causes
Biasutti, M. (2019) · WIREs Climate Change · doi:10.1002/wcc.591 · Cited by 336
Exploratory modeling for analyzing coupled human-natural systems under uncertainty
Moallemi, E. A., Kwakkel, J., de Haan, F. J., & Bryan, B. A. (2020) · Global Environmental Change · doi:10.1016/j.gloenvcha.2020.102186 · Cited by 130
Metadata
- Authors
- Haasnoot, M., van ’t Klooster, S., & van Alphen, J.
- Venue
- Global Environmental Change
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 52
- Pages
- 273-285
- ISSN
- 0959-3780 (ISSN-L)
- OpenAlex
- W2891929791
- Cited by
- 183
- References
- 2
- FWCI
- 9.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Haasnoot, M., van ’t Klooster, S., & van Alphen, J. (2018). Designing a monitoring system to detect signals to adapt to uncertain climate change. Global Environmental Change. https://doi.org/10.1016/j.gloenvcha.2018.08.003
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