Facilitating an ecosystem approach through open data and information packaging

IF 3.1 2区 农林科学 Q1 FISHERIES ICES Journal of Marine Science Pub Date : 2024-03-13 DOI:10.1093/icesjms/fsae024
Daniel E Duplisea, Marie-Julie Roux, Stéphane Plourde, Peter S Galbraith, Marjolaine Blais, Hugues P Benoît, Bernard Sainte-Marie, Diane Lavoie, Hugo Bourdages
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Abstract

Open data that can be easily incorporated into analyses are essential for developing ecosystem approaches to marine ecological management: a common goal in fisheries policy in many countries. Although it is not always clear what constitutes an ecosystem approach, it always involves scientists working with a large variety of data and information, including data from physical and oceanographic sampling, multispecies surveys, and other sources describing human pressures. This can be problematic for analysts because these data, even when available, are often held in disparate datasets that do not necessarily correspond at appropriate temporal and spatial scales. Data can often only be obtained by specific requests to individuals in governmental agencies who are delivering on an increasing number of data requests as interest grows in practical ecosystem approach implementation. This data access model is not sustainable and hinders the momentum for ecosystem approach development. We describe a data bundling R package that makes data and climate projections available at appropriate scales to facilitate development of an ecosystem approach for the Gulf of St. Lawrence, Canada. This approach integrates closely with the present workflow of most government analysts, academics in fisheries, and scientists in private industry. The approach conforms with open data initiatives and makes data easily available globally while relieving some of the burden of data provision that can fall to some individuals in government laboratories. The structure and approach are generic, adaptable, and transferable to other regions and jurisdictions.
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通过开放数据和信息打包促进生态系统方法
易于纳入分析的开放数据对于制定海洋生态管理的生态系统方法至关重要:这是许多国家渔业政策的共同目标。尽管生态系统方法的构成并不总是很明确,但它总是涉及科学家与大量数据和信息的合作,包括来自物理和海洋学采样、多物种调查以及描述人类压力的其他来源的数据。这对分析人员来说可能是个问题,因为这些数据即使可用,也往往保存在不同的数据集中,不一定在适当的时间和空间尺度上对应。数据通常只能通过向政府机构中的个人提出具体请求来获取,而随着人们对实际生态系统方法实施兴趣的增加,政府机构正在满足越来越多的数据请求。这种数据访问模式是不可持续的,会阻碍生态系统方法的发展势头。我们介绍了一个数据捆绑 R 软件包,该软件包可提供适当尺度的数据和气候预测,以促进加拿大圣劳伦斯湾生态系统方法的发展。该方法与大多数政府分析人员、渔业学者和私营企业科学家目前的工作流程紧密结合。该方法符合开放数据倡议,可在全球范围内轻松获取数据,同时减轻政府实验室某些人员提供数据的负担。这种结构和方法具有通用性和适应性,可移植到其他地区和辖区。
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来源期刊
ICES Journal of Marine Science
ICES Journal of Marine Science 农林科学-海洋学
CiteScore
6.60
自引率
12.10%
发文量
207
审稿时长
6-16 weeks
期刊介绍: The ICES Journal of Marine Science publishes original articles, opinion essays (“Food for Thought”), visions for the future (“Quo Vadimus”), and critical reviews that contribute to our scientific understanding of marine systems and the impact of human activities on them. The Journal also serves as a foundation for scientific advice across the broad spectrum of management and conservation issues related to the marine environment. Oceanography (e.g. productivity-determining processes), marine habitats, living resources, and related topics constitute the key elements of papers considered for publication. This includes economic, social, and public administration studies to the extent that they are directly related to management of the seas and are of general interest to marine scientists. Integrated studies that bridge gaps between traditional disciplines are particularly welcome.
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