Monitoring agroecological transitions: how to measure complexity in an agile manner

Abstract

Recently, a series of frameworks have been developed that aim to assess the agroecological performance of farming systems. These frameworks are characterized by a heavy load of dimensions and indicators, making application of these frameworks in the practical setting of agricultural development projects difficult as well as expensive. In this position paper, we look at recent developments in agile data collection and how these can help to further improve the monitoring of agroecological transitions in general. More specifically, in this position paper, we i) outline a flexible and light approach to assess agroecological transitions in a given project setting, ii) provide examples of how it can be applied, and iii) highlight how it can help local agents to support transitions as well as can generate a generic information base for agroecology.