首页> 美国卫生研究院文献>Philosophical Transactions of the Royal Society B: Biological Sciences >Back-to-the-future: a fresh policy initiative for fisheries and a restoration ecology for ocean ecosystems
【2h】

Back-to-the-future: a fresh policy initiative for fisheries and a restoration ecology for ocean ecosystems

机译:回归未来:渔业的新政策倡议和海洋生态系统的恢复生态

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

‘Back-to-the-future’ (BTF) is an integrative approach to a restoration ecology of the oceans that attempts to solve the fisheries crisis. To this end, it harnesses the latest understanding of ecosystem processes, developments in whole ecosystem simulation modelling, and insight into the human dimension of fisheries management. BTF includes new methods for describing past ecosystems, designing fisheries that meet criteria for sustainability and responsibility, and evaluating the costs and benefits of fisheries in restored ecosystems. Evaluation of alternative policy choices, involving trade-offs between conservation and economic values, employs a range of economic, social and ecological measures. Automated searches maximize values of objective functions, and the methodology includes analyses of model parameter uncertainty. Participatory workshops attempt to maximize compliance by fostering a sense of ownership among all stakeholders. Some challenges that have still to be met include improving methods for quantitatively describing the past, reducing uncertainty in ecosystem simulation techniques and in making policy choices robust against climate change. Critical issues include whether past ecosystems make viable policy goals, and whether desirable goals may be reached from today’s ecosystem. Examples from case studies in British Columbia, Newfoundland and elsewhere are presented.
机译:“回归未来”(BTF)是一种整合海洋生态修复方法,试图解决渔业危机。为此,它利用了对生态系统过程的最新理解,整个生态系统模拟模型的发展以及对渔业管理的人文维度的洞察力。 BTF包括描述过去的生态系统,设计符合可持续性和责任标准的渔业以及评估恢复的生态系统中渔业的成本和收益的新方法。对备选政策选择的评估涉及保护与经济价值之间的权衡,采用了一系列经济,社会和生态措施。自动搜索可最大化目标函数的值,并且该方法包括对模型参数不确定性的分析。参与性讲习班试图通过在所有利益相关者之间培养主人翁感来最大程度地遵守法规。仍需解决的挑战包括改进定量描述过去的方法,减少生态系统模拟技术的不确定性以及使针对气候变化的政策选择变得稳健。关键问题包括过去的生态系统是否可以制定可行的政策目标,以及是否可以从当今的生态系统中实现理想的目标。列举了不列颠哥伦比亚省,纽芬兰及其他地区的案例研究示例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号