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MODELING CRAB GROWTH AND POPULATION DYNAMICS: INSIGHTS FROM THE BLUE CRAB CONFERENCE

机译:建模蟹的生长和人口动态:蓝蟹会议的启示

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摘要

Over recent decades, we have learned a great many details of the behavior and ecology of the blue crab (Epifanio, 2001, this volume). Regrettably, we have yet to develop similar deep insights into blue crab population dynamics. However, until we can express this ecological knowledge mathematically to describe the dynamics of populations it will be difficult, if not impossible, to understand the implications of our hard won insights. Simply stated, population dynamics represents the glue that can bind the rich data base on blue crab ecology together. However, we should not view the link between the behavior and ecology of individual crabs and the resulting dynamics of the population as a one-way exchange. Individual-level events certainly impact population-level processes. Yet, population-level constraints may similarly limit the flexibility of individuals to modify their behavior or ecology. Thus, all researchers may benefit greatly from an increase in efforts to understand and model the dynamics of crab populations. The study of population dynamics is a two step process. The first step involves estimation of vital rates, such as growth, fecundity and mortality. In the second step, one examines the consequences of the vital rates on patterns of population abundance and structure over time. One seeks to ask, "How many will there be?" or "How many crabs of this size can I expect?" given the vital rates hypothesized. Clearly these questions have ramifications for both our fundamental ecological understanding and for the applied area of fishery management. Sixteen presentations at the conference considered population dynamic processes from both fundamental and applied viewpoints. Four presentations dealt specifically with estimation of growth functions, two dealt with estimating mortality rates and the remaining nine examined whole population models.
机译:在最近的几十年中,我们了解了蓝蟹的行为和生态学的许多细节(Epifanio,2001,本册)。遗憾的是,我们还没有对蓝蟹种群动态发展出类似的深刻见解。但是,除非我们能够用数学方式表达这种生态知识来描述种群的动态,否则,即使不是不可能,也很难理解我们来之不易的见解的含义。简而言之,种群动态代表了可以将蓝蟹生态学上的丰富数据库绑定在一起的粘合剂。但是,我们不应将单个螃蟹的行为和生态与由此产生的种群动态之间的联系视为单向交换。个人活动肯定会影响人口活动。然而,人口水平的限制可能会类似地限制个人修改其行为或生态的灵活性。因此,所有研究人员可能会从了解和模拟螃蟹种群动态的努力中受益匪浅。人口动态研究是一个两步过程。第一步涉及估算生命率,例如生长,繁殖力和死亡率。在第二步中,研究人口生命率随时间变化对人口数量和结构的影响。一个人试图问:“会有多少?”或“我能期望多少只这样的螃蟹?”假设假设的生命率。这些问题显然对我们的基本生态理解和渔业管理的应用领域都有影响。大会上的十六次演讲从基本和应用的角度审议了人口动态过程。有四个专题专门介绍了增长功能的估计,有两个专题介绍了死亡率的估计,其余九个专题研究了整个人口模型。

著录项

  • 来源
    《Bulletin of Marine Science》 |2003年第2期|p.537-541|共5页
  • 作者单位

    Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, P.O. Box 38, Solomos, Maryland 20688-0038;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 海洋学;
  • 关键词

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