Coupling models to represent interactions within landscape systems

Duration: 31 mins 16 secs

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Description:	Harrison, P Monday 7th September 2020 - 14:20 to 14:40


Created:	2020-09-07 20:46
Collection:	Mathematical and statistical challenges in landscape decision making
Publisher:	Isaac Newton Institute
Copyright:	Harrison, P
Language:	eng (English)


Abstract:	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.

Abstract:

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.

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