Nov 17, 2014 by Carlo Azzarri

How does a potentially devastating disturbance, such as drought or excess rainfall, effect the ripples of trade flow in sub-Saharan Africa? What is the spatial relationship between biophysical characteristics and net exports in a particular country or region? What do historical patterns and spatial variability in the environment, agricultural production, and natural shocks tell us about food distribution and possible mitigation through responsive trade flows? HarvestChoice explores these questions in a recently published chapter included in the flagship publication, ReSAKSS Annual Trends and Outlook Report (ATOR) 2013.

Oct 1, 2014 by Cindy Cox

HarvestChoice is interested in developing global indices that capture the level of sustainable intensification in agricultural systems. We are exploring the utility of Net Primary Productivity (NPP) as a co-indicator of environmental impact and ecosystem services. This post describes the rationale and some of our findings from a pilot study recently completed by our team.

Dec 6, 2010 by Jawoo Koo

For crop modeling researchers who are in need of finding soil profiles at regional-scale in Sub-Saharan Africa (SSA), this post gives a spatial dataset that delineates SSA into 588 units and corresponding soil profiles, based on the WISE v1.1 and HC27 soil profile databases.

How to find a right soil profile for this grid cell?

Sep 29, 2010 by Melanie Bacou

Mapping the global extent of soil constraints to crop growth plays an important role in developing strategies for agricultural production, environmental protection, and sustainable development at regional and global scales. The most widely used dataset is the Soil Fertility Capability Classification System (FCC) developed by Center for International Earth Science Information Network (CIESIN) and the Tropical Agriculture Program of the Earth Institute at Columbia University.

Interplay between agro-ecology and poverty prevalence amongst rural households

Aug 12, 2010 by Jawoo Koo

As a quick demonstration to estimate crop yield levels at regional-scale with various management assumptions, this post describes how crop systems models can be used to assess yield gap of rainfed maize due to the limited supply of soil nitrogen. This methodology can help researchers to find what is the most critical factor that limits crop yield productivity in a given environment condition and how to address the constraint.

Aug 10, 2010 by Jawoo Koo

By modeling the decomposition of soil organic matter dynamics, crop systems models can simulate the effects of soil nutrient depletion under low-input extractive field management practices, as well as soil carbon sequestration under regenerative management practices.

Maize