Design of operational management strategies for achieving fishery ecosystem objectives

Design of operational management strategies for achieving fishery ecosystem objectives
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设计实现渔业生态系统目标的运营管理策略

DOI:
10.1006/jmsc.2000.0737
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发表时间:
2000
影响因子:
4.5
通讯作者:
Anthony D. M. Smith
Anthony D. M. Smith
中科院分区:
材料科学3区
文献类型:
--
作者:
K. Sainsbury;A. Punt;Anthony D. M. Smith

文献摘要

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渔业管理中的生态系统目标通常来自国家高层 政策或战略以及国际协议。因此他们常常 概括地说,因此很难直接纳入管理计划。 预测任何管理行动的结果都是非常不确定的,因为 生态系统的动态是复杂的并且人们知之甚少。设计方法和 评估运营管理策略在过去取得了相当大的进步 十年。这些管理策略评估(MSE)方法依赖于模拟 使用源自以下的绩效衡量标准来测试整个管理流程 运营目标。 MSE 方法涉及选择(运营)管理 目标,指定绩效衡量标准,指定替代管理 策略,并使用模拟对其进行评估。 MSE 框架强调 不确定性的识别和建模,并将这些传播到他们的 对绩效指标的影响。该框架的概述和说明如下: 三个与生态系统相关的应用:底栖生境和阔类鱼类的管理 社区组成;高保护价值物种的副渔获物;和食物链 相互作用和依赖性。更广泛之前需要克服的挑战 简要讨论了可以充分处理生态系统相关目标的问题。
Ecosystem objectives in fisheries management usually flow from high-level national policies or strategies and international agreements. Consequently they are often broadly stated and hence are difficult to incorporate directly in management plans. Predicting the results of any management action is very uncertain because the dynamics of ecosystems are complex and poorly understood. Methods to design and evaluate operational management strategies have advanced considerably in the past decade. These management-strategy-evaluation (MSE) methods rely on simulation testing of the whole management process using performance measures derived from operational objectives. The MSE approach involves selecting (operational) management objectives, specifying performance measures, specifying alternative management strategies, and evaluating these using simulation. The MSE framework emphasizes the identification and modelling of uncertainties, and propagates these through to their effects on the performance measures. The framework is outlined and illustrated by three ecosystem-related applications: management of benthic habitats and broad fish community composition; by-catch of species of high conservation value; and foodchain interactions and dependencies. Challenges to be overcome before broader ecosystem-related objectives can be fully handled are discussed briefly.