Sustainable use of agricultural ecosystems: an optimum control problem

R. Seppelt, O. Richter
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Abstract

Agricultural ecosystems comprise both natural and socioeconomic processes. By introducing fertilizing, harvesting or irrigation as control variables, one is led to the formulation of control problems. A main problem is the development of suitable performance criteria if both economic and ecological aspects are taken into account. The use of control theory leads to two major problems. The first concerns the choice of performance criteria. An appropriate performance criterion consists of an economic and an ecological part. In the framework of economic theory, environmental side-effects are referred to as external costs. Several approaches for including external costs are presented. The second problem concerns the definition of sustainability, which implies the derivation of long-term strategies. Time horizons are much longer. Objectives valid for one vegetation period cannot be applied to crop rotations or farming systems. Simulations show that local optimization does not lead to global sustainability. Using optimal control theory in ecology quickly leads to numerical problems. If one focuses on small, preferably linear models, analytic solutions of optimization problems are obtained by the application of known maximum principles. As ecological systems include complex nonlinear relationships, solutions can be derived by numerical optimization only. As the underlying model contains discrete and continuous model equations, the optimization results are derived by using dynamic programming.
农业生态系统的可持续利用:最优控制问题
农业生态系统包括自然过程和社会经济过程。通过引入施肥、收获或灌溉作为控制变量,就导致了控制问题的形成。如果考虑到经济和生态方面,一个主要问题是制定适当的业绩标准。控制理论的应用导致两个主要问题。第一个问题涉及性能标准的选择。一个合适的绩效标准由经济和生态两个部分组成。在经济理论的框架中,环境副作用被称为外部成本。提出了几种包括外部成本的方法。第二个问题涉及可持续性的定义,这意味着长期战略的推导。时间跨度要长得多。对一个植被期有效的目标不能适用于作物轮作或耕作制度。仿真结果表明,局部优化不能导致全局可持续性。在生态学中使用最优控制理论会很快导致数值问题。如果关注小的,最好是线性模型,优化问题的解析解是通过应用已知的极大值原理得到的。由于生态系统包含复杂的非线性关系,只能通过数值优化来求解。由于底层模型包含离散和连续模型方程,因此采用动态规划方法推导优化结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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