Irina V. Bezlepkina

TL;DR: The SEAMLESS Integrated Framework for Agricultural Systems (SEAMLESS) as discussed by the authors is a framework to assess, ex-ante, agricultural and agri-environmental policies and technologies across a range of scales, from field-farm to region and European Union, as well as some global interactions.

TL;DR: This study aims to analyse scaling methods used in the recently developed multi-scale IA model SEAMLESS-IF which is applied to two case studies of complex agri-environmental problems and shows that scale changes refer to different spatial, temporal and functional scales with changes in extent, resolution, and coverage rate.

TL;DR: It is shown that improving the flexibility of IAM requires flexibility in model linking but also a generic set up of all IA steps, and that the proposed framework significantly advances flexibility in IAM and is a good basis to further improve integrated modelling for policy impact assessment in agriculture.

TL;DR: In this article, the authors present a methodological framework that has been developed in a joint European and developing countries project (LUPIS) to assess the impact of land use policies on sustainable development in developing countries.

TL;DR: It is shown that the goal oriented framework for indicators has several advantages, its major rewards are its relative simplicity and the possibility to link indicators to policy goals of each dimension of sustainability and thereby facilitate the comparison of the impacts of the new policy on the different dimensions.