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来源类型Article
规范类型其他
DOI10.1016/j.agee.2006.07.020
Soil organic carbon changes in dynamic land use decision models.
Schneider UA
发表日期2007
出处Agriculture, Ecosystems & Environment 119 (3-4): 359-367
出版年2007
语种英语
摘要Soil organic carbon can be sequestered through various land management options depending on the soil organic carbon status at the beginning of a management period. This initial soil organic carbon status results from a certain soil management history in a certain soil climate regime. Similarly, the prediction of future carbon storage depends on the time path of future soil management. Unfortunately, the number of possible management trajectories reaches non-computable levels so fast that explicit representations of future management trajectories are infeasible for most existing empirical land use decision models. Not surprisingly, the impact of different management trajectories has been ignored. This article proposes a computationally feasible mathematical programming method for integration of soil state dependent sequestration rates in dynamic land use decision optimization models. The possible soil organic carbon range is divided in several adjacent carbon states. For each soil management practice, location, and initial soil organic carbon state, transition probabilities of moving into a different or remaining in the same state are computed. Subsequently, these probabilities are used in dynamic equations to update the soil organic carbon level before and after each period. To illustrate the impacts of this Markov chain based method, a case study portraying Australian wheat farmers is conducted.
主题Forestry (FOR)
关键词Agriculture Land use Markov chain Mathematical programming Optimization Sink dynamics Soil organic carbon sequestration
URLhttp://pure.iiasa.ac.at/id/eprint/13448/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/128629
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GB/T 7714
Schneider UA. Soil organic carbon changes in dynamic land use decision models.. 2007.
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