Pathways for integrating historical information into fisheries decision‐making

Author:

McClenachan Loren12ORCID,Cope Jason3,Martínez‐Candelas Ilse2,Nowlis Joshua4,Rubio‐Cisneros Nadia T.56,Tewfik Alexander7,Cramer Katie L.89

Affiliation:

1. Department of History University of Victoria Victoria British Columbia Canada

2. School of Environmental Studies University of Victoria Victoria British Columbia Canada

3. NOAA Fisheries Northwest Fisheries Science Center Seattle Washington USA

4. Bridge Environment Seattle Washington USA

5. Laboratorio de Biología de la Conservación y Desarrollo Sustentable de la Facultad de Ciencias Biológicas Universidad Autónoma de Nuevo León San Nicolás de los Garza Mexico

6. Mar Sustentable, Ciencia y Conservación Monterrey Nuevo Leon Mexico

7. Coastal Ocean Association for Science and Technology Saint Augustine Florida USA

8. Center for Biodiversity Outcomes Arizona State University Tempe Arizona USA

9. Smithsonian Tropical Research Institute Balboa Panama

Abstract

AbstractHistorical information has provided key insights into long‐term ecological change to marine species and ecosystems, with value to fisheries. Yet, pathways to integrate these diverse data sources into fisheries decision‐making have not been clear. Here, we identify an array of biological, ecological, and social information suitable for contemporary science‐based decision‐making, derived from local ecological knowledge, historical archives, archaeological middens and palaeoecological material. We outline two broad pathways to integrate these historical data into fisheries decision‐making, demonstrating that data‐driven use of historical information is relevant across a range of management contexts. First, historical information can inform fisheries assessments that range from simple to complex, affecting indicators of stock status. Second, it can inform estimates of biological potential and social preference, affecting the choice of fisheries reference points. Using the Caribbean Sea as an example, we illustrate these ideas with case studies representing diverse species and historical data types. Integrating historical data can improve indicators of the current state of fish populations and result in management decisions based on a more complete understanding of a potential range of variation, avoiding shifted baselines. The urgency of this work is underscored by accelerating environmental changes and the rapid loss of invaluable historical information sources. By illuminating pathways, our goal is to increase the accessibility of these types of information and to underscore that scientists, managers, and resource users have roles to play in identifying and integrating relevant long‐term data at various spatial and temporal scales to sustainably manage marine fisheries.

Funder

Canada Research Chairs

Save Our Seas Foundation

Rufford Foundation

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3