A Pastoral Stoking Strategy Model with Fodder Import and Loan Scenarios (1.0.0)
This model was built to estimate the impacts of exogenous fodder input and credit loans services on livelihood, rangeland health and profits of pastoral production in a small holder pastoral household in the arid steppe rangeland of Inner Mongolia, China. The model simulated the long-term dynamic of herd size and structure, the forage demand and supply, the cash flow, and the situation of loan debt under three different stocking strategies: (1) No external fodder input, (2) fodders were only imported when natural disaster occurred, and (3) frequent import of external fodder, with different amount of available credit loans. Monte-Carlo method was used to address the influence of climate variability.
Release Notes
To use this model you need to upload the code files in MatLab, define the parameters, and run the main program (the run_final document). More detailed instruction is provided in the description document. If you need to use it in other parts, you have to modify the code.
Associated Publications
Li,Y.B..2014.Improvement of carrying capacity management in Inner Mongolian rangeland: Beyond the non-equilibrium paradigm. PhD dissertation, Peking University, Beijing, China. (in Chinese)
A Pastoral Stoking Strategy Model with Fodder Import and Loan Scenarios 1.0.0
Submitted by
Yanbo Li
Published Dec 24, 2019
Last modified Dec 24, 2019
This model was built to estimate the impacts of exogenous fodder input and credit loans services on livelihood, rangeland health and profits of pastoral production in a small holder pastoral household in the arid steppe rangeland of Inner Mongolia, China. The model simulated the long-term dynamic of herd size and structure, the forage demand and supply, the cash flow, and the situation of loan debt under three different stocking strategies: (1) No external fodder input, (2) fodders were only imported when natural disaster occurred, and (3) frequent import of external fodder, with different amount of available credit loans. Monte-Carlo method was used to address the influence of climate variability.
Release Notes
To use this model you need to upload the code files in MatLab, define the parameters, and run the main program (the run_final document). More detailed instruction is provided in the description document. If you need to use it in other parts, you have to modify the code.