INRA, UMR Innovation 951, F 34060 Montpellier, France.
J Environ Manage. 2013 Nov 15;129:493-502. doi: 10.1016/j.jenvman.2013.08.001. Epub 2013 Sep 6.
Evaluating the impacts of the development of alternative agricultural systems, such as organic or low-input cropping systems, in the context of an agricultural region requires the use of specific tools and methodologies. They should allow a prospective (using scenarios), multi-scale (taking into account the field, farm and regional level), integrated (notably multicriteria) and participatory assessment, abbreviated PIAAS (for Participatory Integrated Assessment of Agricultural System). In this paper, we compare the possible contribution to PIAAS of three modeling approaches i.e. Bio-Economic Modeling (BEM), Agent-Based Modeling (ABM) and statistical Land-Use/Land Cover Change (LUCC) models. After a presentation of each approach, we analyze their advantages and drawbacks, and identify their possible complementarities for PIAAS. Statistical LUCC modeling is a suitable approach for multi-scale analysis of past changes and can be used to start discussion about the futures with stakeholders. BEM and ABM approaches have complementary features for scenarios assessment at different scales. While ABM has been widely used for participatory assessment, BEM has been rarely used satisfactorily in a participatory manner. On the basis of these results, we propose to combine these three approaches in a framework targeted to PIAAS.
评估替代农业系统(如有机或低投入种植系统)在农业区域背景下的发展影响,需要使用特定的工具和方法。这些工具和方法应该允许进行前瞻性(使用情景)、多尺度(考虑田间、农场和区域层面)、综合(特别是多准则)和参与性评估,简称 PIAAS(农业系统参与式综合评估)。在本文中,我们比较了三种建模方法(即生物经济建模、基于主体的建模和统计土地利用/土地覆盖变化模型)对 PIAAS 的可能贡献。在介绍每种方法之后,我们分析了它们的优缺点,并确定了它们在 PIAAS 方面的可能互补性。统计土地利用/土地覆盖变化建模是分析过去变化的多尺度的合适方法,可用于与利益相关者讨论未来的情况。BEM 和 ABM 方法在不同尺度的情景评估方面具有互补性特征。虽然 ABM 已被广泛用于参与性评估,但 BEM 很少以参与性方式得到满意的应用。基于这些结果,我们建议在针对 PIAAS 的框架中结合这三种方法。