Tschirhart J
Department of Economics and Finance, University of Wyoming, University Station, Laramie, WY 82071, USA.
J Theor Biol. 2000 Mar 7;203(1):13-32. doi: 10.1006/jtbi.1999.1058.
Ecosystems and economies are inextricably linked: ecosystem models and economic models are not linked. Consequently, using either type of model to design policies for preserving ecosystems or improving economic performance omits important information. Improved policies would follow from a model that links the systems and accounts for the mutual feedbacks by recognizing how key ecosystem variables influence key economic variables, and vice versa. Because general equilibrium economic models already are widely used for policy making, the approach used here is to develop a general equilibrium ecosystem model which captures salient biological functions and which can be integrated with extant economic models. In the ecosystem model, each organism is assumed to be a net energy maximizer that must exert energy to capture biomass from other organisms. The exerted energies are the "prices" that are paid to biomass, and each organism takes the prices as signals over which it has no control. The maximization problem yields the organism's demand for and supply of biomass to other organisms as functions of the prices. The demands and supplies for each biomass are aggregated over all organisms in each species which establishes biomass markets wherein biomass prices are determined. A short-run equilibrium is established when all organisms are maximizing and demand equals supply in every biomass market. If a species exhibits positive (negative) net energy in equilibrium, its population increases (decreases) and a new equilibrium follows. The demand and supply forces in the biomass markets drive each species toward zero stored energy and a long-run equilibrium. Population adjustments are not based on typical Lotka-Volterra differential equations in which one entire population adjusts to another entire population thereby masking organism behavior; instead, individual organism behavior is central to population adjustments. Numerical simulations use a marine food web in Alaska to illustrate the model and to show several simultaneous predator/prey relationships, prey switching by the top predator, and energy flows through the web.
生态系统与经济紧密相连,但生态系统模型与经济模型却未建立联系。因此,运用这两种模型中的任何一种来设计保护生态系统或提升经济表现的政策,都会遗漏重要信息。若能构建一个将生态系统与经济系统相联系,并通过认识关键生态变量如何影响关键经济变量以及反之亦然的方式来考虑相互反馈的模型,就能制定出更优的政策。鉴于一般均衡经济模型已广泛应用于政策制定,此处采用的方法是开发一个能捕捉显著生物功能且可与现有经济模型相结合的一般均衡生态系统模型。在该生态系统模型中,假定每个生物体都是净能量最大化者,它必须消耗能量从其他生物体获取生物量。所消耗的能量即为支付给生物量的“价格”,每个生物体将这些价格视为自身无法控制的信号。最大化问题得出生物体对其他生物体生物量的需求和供给是价格的函数。每个生物量的需求和供给在每个物种的所有生物体中进行汇总,从而建立生物量市场,在其中确定生物量价格。当所有生物体都实现最大化且每个生物量市场的需求等于供给时,就建立了短期均衡。如果一个物种在均衡状态下表现出正(负)净能量,其种群数量就会增加(减少),随后会出现新的均衡。生物量市场中的需求和供给力量驱使每个物种趋向零储存能量和长期均衡。种群调整并非基于典型的洛特卡 - 沃尔泰拉微分方程,在该方程中一个整体种群会适应另一个整体种群,从而掩盖了生物体行为;相反,个体生物体行为是种群调整的核心。数值模拟使用阿拉斯加的一个海洋食物网来说明该模型,并展示几种同时存在的捕食者/猎物关系、顶级捕食者的猎物转换以及能量在食物网中的流动情况。