This paper is a methodological contribution to emerging debates on the role of learning, particularly forward-looking (anticipatory) learning, as a key element for adaptation and resilience in the context of climate change. First, we describe two major challenges: understanding adaptation as a process and recognizing the inadequacy of existing learning tools, with a specific focus on high poverty contexts and complex livelihood-vulnerability risks. Then, the article examines learning processes from a dynamic systems perspective, comparing theoretical aspects and conceptual advances in resilience thinking and action research/learning (AR/AL). Particular attention is paid to learning loops (cycles), critical reflection, spaces for learning, and power. Finally, we outline a methodological framework to facilitate iterative learning processes and adaptive decision making in practice. We stress memory, monitoring of key drivers of change, scenario planning, and measuring anticipatory capacity as crucial ingredients. Our aim is to identify opportunities and obstacles for forward-looking learning processes at the intersection of climatic uncertainty and development challenges in Africa, with the overarching objective to enhance adaptation and resilient livelihood pathways, rather than learning by shock.

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Anticipatory Learning for Climate Change Adaptation and Resilience

Local in its causes and global in its impacts, climate change still poses an unresolved challenge for scientists, politicians, entrepreneurs, and citizens. Climate change research is largely global in focus, aims at enhanced understanding, and is driven by experts, all of which seem to be insufficient to anchor climate change action in regional and local contexts. We present results from a participatory scenario study conducted in collaboration with the municipality of Delta in SW British Columbia, Canada. This study applies a participatory capacity building approach for climate change action at the local level where the sources of emissions and the mechanisms of adaptation reside and where climate change is meaningful to decision-makers and stakeholders alike. The multi-scale scenario approach consists of synthesizing global climate change scenarios, downscaling them to the regional and local level, and finally visualizing alternative climate scenarios out to 2100 in 3D views of familiar, local places. We critically discuss the scenarios produced and the strengths and weaknesses of the approach applied.

Making local futures tangible - synthesizing, downscaling, and visualizing climate change scenarios for participatory capacity building.

Linking stakeholders and modellers in scenario studies: The use of Fuzzy Cognitive Maps as a communication and learning tool

http://www.anisn.it/workgroup/Progetto%20Biodiversita/materiali%20didattici%20secondo%20ciclo_2011/PALERMO_4MARZO2011/conservazione%20biodiversit%E0%20in%20vitis%20vinifera/ATT00046.pdf

Sustainable multifunctional landscapes: a review to implementation

1. In a rapidly changing world, ecology has the potential to move from empirical and conceptual stages to application and management issues. It is now possible to make large-scale predictions up to continental or global scales, ranging from the future distribution of biological diversity to changes in ecosystem functioning and services. With these recent developments, ecology has a historical opportunity to become a major actor in the development of a sustainable human society. With this opportunity, however, also comes an important responsibility in developing appropriate predictive models, correctly interpreting their outcomes and communicating their limitations. There is also a danger that predictions grow faster than our understanding of ecological systems, resulting in a gap between the scientists generating the predictions and stakeholders using them (conservation biologists, environmental managers, journalists, policymakers).
2. Here, we use the context provided by the current surge of ecological predictions on the future of biodiversity to clarify what prediction means, and to pinpoint the challenges that should be addressed in order to improve predictive ecological models and the way they are
understood and used. 
3. Synthesis and applications. Ecologists face several challenges to ensure the healthy development of an operational predictive ecological science: (i) clarity on the distinction between explanatory and anticipatory predictions; (ii) developing new theories at the interface between
explanatory and anticipatory predictions; (iii) open data to test and validate predictions; (iv) making predictions operational; and (v) developing a genuine ethics of prediction.

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REVIEW: Predictive ecology in a changing world

Scenario analysis is a useful tool for exploring key uncertainties that may shape the future of social-ecological systems. This paper explores the methods, costs, and benefits of developing and linking scenarios of social-ecological systems across multiple spatial scales. Drawing largely on experiences in the Millennium Ecosystem Assessment, we suggest that the desired degree of cross-scale linkage depends on the primary aim of the scenario exercise. Loosely linked multiscale scenarios appear more appropriate when the primary aim is to engage in exploratory dialog with stakeholders. Tightly coupled cross-scale scenarios seem to work best when the main objective is to further our understanding of cross-scale interactions or to assess trade-offs between scales. The main disadvantages of tightly coupled cross-scale scenarios are that their development requires substantial time and financial resources, and that they often suffer loss of credibility at one or more scales. The reasons for developing multiscale scenarios and the expectations associated with doing so therefore need to be carefully evaluated when choosing the desired degree of cross-scale linkage in a particular scenario exercise.

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Linking Futures across Scales: a Dialog on Multiscale Scenarios

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Young Scholars Dialogue, part of a Special Feature on Scenarios of global ecosystem services Linking Futures across Scales: a Dialog on Multiscale Scenarios

Dagmar Timmer

Papers

Linking Futures across Scales: a Dialog on Multiscale Scenarios

Young Scholars Dialogue, part of a Special Feature on Scenarios of global ecosystem services Linking Futures across Scales: a Dialog on Multiscale Scenarios