- K. Helming (1)
- M.K. Ittersum van (2)
- H. Konig (1)
- H. König (1)
- K. Muller (1)
- I. Nesheim (1)
- A. Piorr (1)
- S. Purushothaman (1)
- P. Reidsma (1)
- M. Sghaier (1)
- S. Sieber (2)
- S. Uthes (1)
- P. Zander (1)
Methods and tools for integrated assessment of land use policies on sustainable development in developing countries
Reidsma, P. ; König, H. ; Feng, S. ; Bezlepkina, I. ; Nesheim, I. ; Bonin, M. ; Sghaier, M. ; Purushothaman, S. ; Sieber, S. ; Ittersum, M.K. van; Brouwer, F.M. - \ 2011
Land Use Policy 28 (2011)3. - ISSN 0264-8377 - p. 604 - 617.
nutrient management - zhejiang province - cropping systems - european-union - farm models - lake region - taihu lake - rice - china - asia
For stimulating sustainable development in developing countries, land use patterns and land use changes are considered critical, and therefore effective and efficient land use policies are needed. In this paper we present a methodological framework that has been developed in a joint European and developing countries project (LUPIS – Land Use Policies and Sustainable Development in Developing Countries), to assess the impact of land use policies on sustainable development in developing countries. An illustrative application is presented for a case study in China, where water pollution due to agriculture in Taihu Basin is a major problem. We argue that an integrated assessment is required, considering multiple drivers and indicators that determine the objectives and constraints of the stakeholders involved. Therefore, the sustainability impact assessment (SIA) is based on the concept of Land Use Functions (LUFs), and impacts on these LUFs are discussed with stakeholders based on a multi-criteria analysis. LUFs comprise economic, environmental and social indicators relevant for stakeholders at multiple scales. Instead of focusing only on the indicators that determine the problem (e.g., nutrient leaching in the Chinese case study), we take a broader perspective (considering also social, economic and institutional objectives and constraints), such that feasible policy options can be recommended. Stakeholders have a large role in discussing the selection of indicators and policies (pre-modelling), evaluating the impacts on indicators (modelling), and the weighing of indicators and LUFs (post-modelling). For the assessment of impacts on indicators (modelling), quantitative and qualitative approaches are combined. We present and discuss an impact assessment of policy options in Taihu Basin, for the current situation and towards 2015. The methodological framework as presented here proved to be useful to guide a sustainability impact assessment in China and six other case study regions.
Policy relevance of three integrated assessment tools - A comparison with specific reference to agricultural policies
Uthes, S. ; Fricke, K. ; Konig, H. ; Zander, P. ; Ittersum, M.K. van; Sieber, S. ; Helming, K. ; Piorr, A. ; Muller, K. - \ 2010
Ecological Modelling 221 (2010)18. - ISSN 0304-3800 - p. 2136 - 2152.
land-use change - european-union - farm models - impact - biodiversity - uncertainty - netherlands - scenarios - countries - framework
The Common Agricultural Policy (CAP), a system of market support instruments, direct income transfers, and rural development measures, has been put through an ongoing reform process in recent decades. This paper introduces three policy impact assessment tools (SIAT, SEAMLESS-IF, MEA-Scope tool) and analyses how these tools have responded to a number of challenges for integrated assessment modelling as reported in the international literature. Significant progress has been made with regard to modelling linkages whereas other challenges, particularly those related to issues of scale and uncertainty management, require further efforts. It is also analysed which CAP instruments are represented and what kinds of effects can be analysed at different scales. Market instruments and direct payments are comparatively well represented, while the ability to model rural development measures is mostly beyond the scope of these tools. Because each tool has found a different solution for coping with the common challenges of integrated assessment modelling, the choice of one of the tools for a particular application depends strongly on the policy questions being asked. The SIAT provides the big picture via its ability to represent broad changes in policy instruments with EU-wide cross-sector impacts. The most comprehensive analysis of agricultural policy instruments can be obtained with SEAMLESS-IF. The MEA-Scope tool complements the other two approaches with detailed regional profiles