AMP Grazing Module 7 AND 8 MSU

Project: Research project

Project Details


AMP Grazing Module 7 AND 8 MSU AMP Grazing Module 7 & 8: MSU This social and economic module will focus on comparing the on-ranch social and economic outcomes of Adaptive Multi-Paddock (AMP) grazing systems with non-AMP operations. Specifically, we will assess the effect of these grazing management approaches on rancher family well-being and short- and long-term ranch profitability. We will also investigate the social, behavioral and business characteristics of those who adopt these management approaches to help identify barriers to adoption of enhanced grazing management and determine strategies for overcoming such barriers and therefore enhancing the adoption rate of adaptive grazing management approaches. This module addresses the question what impact does AMP grazing have on the wellbeing of ranchers, using metrics for economic and social sustainability, including health, community support, happiness, social networks, and cultural norms. Secondly, we will address What factors will enhance the adoption of AMP? if it is shown to be an effective approach to increasing soil carbon relative to other grazing management practices. We will identify information acquisition and transfer strategies, barriers to adoption, and potential ways of overcoming such barriers. The facilities and some computer equipment required to conduct this research are available through Dr. Hodbod in the Department of Community Sustainability at Michigan State University. One Surface Pro is included in the budget, which will be used for by McKendree and her graduate student who will be hired to assist with this module. The other resources required for the research are the cameras for the photo elicitation, printing and material costs for the mail survey, participant support costs, and travel costs as detailed in the budget
Effective start/end date7/1/1811/30/21


  • The VF Foundation: $150,000.00


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.