Antle, John M.

July, 2002

By: Antle, John M.; Capalbo, Susan Marie
One of the greatest challenges facing agriculture for the foreseeable future is to resolve conflicts caused by a growing competition for the services of the soil, water, and other natural resources on which agriculture depends-driven by growing demands for food, fiber, and for nonagricultural services these resources provide. To meet this challenge, research is needed which is integrated across the relevant sciences to better understand and predict the properties of agricultural production systems in all of the dimensions that have come to be represented by the concept of sustainability. If we were to achieve this capability to analyze agriculture as a managed ecosystem, it would be possible to move beyond the current regime of agricultural policies, driven largely by interest-group politics, toward science-based policies that recognize the tradeoffs associated with competing uses of natural resources.

December, 2001

By: Antle, John M.; Capalbo, Susan Marie; Mooney, Sian; Elliott, Edward T.; Paustian, Keith H.
This study develops an integrated assessment approach for analysis of the economic potential for carbon sequestration in agricultural soils. By linking a site-specific economic simulation model of agricultural production to a crop ecosystem model, the approach shows the economic efficiency of soil carbon (C) sequestration depends on site-specific opportunity costs of changing production practices and rates of soil C sequestration. An application is made to the dryland grain production systems of the U.S. Northern Plains which illustrates the sensitivity of the sequestration costs to policy design. The marginal cost of soil C ranges from $12 to $500 per metric ton depending upon the type of contract or payment mechanism used, the amount of carbon sequestered, and the site-specific characteristics of the areas.

July, 1994

By: Antle, John M.; Capalbo, Susan Marie; Crissman, Charles C.
In this article, a model was developed in which the quantity and timing of input and harvest decisions are endogenous. The endogenous timing model allows all of the information about input and harvest behavior to be utilized, and it provides a basis for linking econometric production analysis to the time-specific analyses in other scientific disciplines used to assess the environmental or human health impacts of agricultural production practices. The case study of fungicide use on Ecuadorian potatoes was conducted with a unique data set containing detailed information on both quantity and timing of input use. The results showed that both quantity and timing of chemical use were responsive to economic variables.