Blog entries filtered by: Soil and Water Stresses
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.
Having access to the long-term historical daily weather data has been a roadblock for agricultural researchers who deal with production risk in data-sparse regions.
As an option, by loosely combining two existing global climate databases, HarvestChoice is synthesizing a 100-year daily weather dataset for Sub-Sahara Africa on 50-km grids. This post describes the methodology and provides access to the database, called SLATE (Synthesized Long-term Weather), formatted for input to the crop systems models.
Conceptually, in its simplest form, one may liken the cultivation of a crop in the field to a mathematical function.
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.
As an appendix to the Harmonized World Soil Database (HWSD) v1.1, seven soil indicators have been published globally, at 5 arc-minute (10 km) resolution.
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.
Farming entails a great deal of choices and uncertainties. From season to season, weather varies, price fluctuates, soil degrades, pest damages, and climate changes. Farmers everywhere must cope with these uncertainties. Throughout the history of agriculture, many options have been developed to help manage these risks, increase yields, increase efficiency, and, more recently, promote the sustainability of the overall system.
Ecosystems models are currently used in various types of impact assessment studies at different temporal and spatial scales, and their results often implicate policy and management decisions at multiple levels ...