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Coupling models to represent interactions within landscape systems

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This talk will summarise discussions from the Work
Programme on ‘Mathematical and Statistical Challenges in Landscape Decision
Making’, which took place between 3 July to 2 August 2019, focusing on coupling
models to represent interactions within landscape systems. Many studies of
landscape decisions are based on models of individual sectors, such as
agriculture, forestry and water use, without considering interactions between
these sectors. Yet, many drivers (be they climate change, policies or

other) may lead to altered interactions between sectors
and scales. Coupling models across sectors and scales enables interactions,
trade-offs and synergies between different components of landscape systems to
be captured in a systemic manner. This is important because modelling
assessments that do not account for cross-sectoral or cross-scale interactions
have the potential to misrepresent impacts and thus, the need or otherwise for
adaptive action through landscape decision-making. Hence, this topic was
discussed in detail during the 2019 INI Programme. Research priorities were
divided into four

themes: (i) transparency, reproducibility and
communication in coupled models; (ii) model coupling toolbox; (iii) model
coupling technicalities; and

(iv) taking advantage of the benefits of model coupling.
The key insights that emerged in these four themes were captured within short,
medium and longer term research roadmaps.

This talk is part of the Isaac Newton Institute Seminar Series series.

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