Forests

Soil conservation in the 21st century: why we need smart agricultural intensification

Gerard Govers, Roel Merckx, Bas van Wesemael, and Kristof Van Oost

Soil erosion severely threatens the soil resource and the sustainability of agriculture. After decades of research, this problem still persists, despite the fact that adequate technical solutions now exist for most situations. This begs the question as to why soil conservation is not more rapidly and more generally implemented. Studies show that the implementation of soil conservation measures depends on a multitude of factors but it is also clear that rapid change in agricultural systems only happens when a clear economic incentive is present for the farmer. Conservation measures are often more or less cost-neutral, which explains why they are often less generally adopted than expected. This needs to be accounted for when developing a strategy on how we may achieve effective soil conservation in the Global South, where agriculture will fundamentally change in the next century. In this paper we argue that smart intensification is a necessary component of such a strategy. Smart intensification will not only allow for soil conservation to be made more economical, but will also allow for significant gains to be made in terms of soil organic carbon storage, water efficiency and biodiversity, while at the same time lowering the overall erosion risk. While smart intensification as such will not lead to adequate soil conservation, it will facilitate it and, at the same time, allow for the farmers of the Global South to be offered a more viable future.

Published Date:
03/2017

STAP guidance on multifocal area projects

STAP developed guidelines for the design of multi-focal area projects based on the principles of resilience. These principles focus on: participation and system thinking (e.g. participation of stakeholders to gain a complete understanding of the problem and responses; slow variables that monitor the interactions between social and ecological dynamics); system structure (e.g. the connectivity of the various elements in a system); experimentation and learning (e.g. encourage experimentation and learning for the purposes of adaptive management, monitoring and iteration). The matrix in the attached paper delves into these elements. 

For further information about the guidelines, please contact Guadalupe Duron (guadalupe.duron@unep.org)

Published Date:
02/2016