Collection and analysis of a global marine phytoplankton primary production dataset

Author:

Mattei FrancescoORCID,Scardi Michele

Abstract

Abstract. Phytoplankton primary production is a key oceanographic process. It has relationships with the marine food webs dynamics, the global carbon cycle and the Earth’s climate. The study of phytoplankton production on a global scale relies on indirect approaches due to field campaigns difficulties. Modelling approaches require in situ data for calibration and validation. In fact, the need for more phytoplankton primary production data was highlighted several times during the last decades. Most of the available primary production datasets are scattered in various repositories, reporting heterogeneous information and missing records. We decided to retrieve field measurements of marine phytoplankton production from several sources and create a homogeneous and ready to use dataset. We handled missing data and added variables related to primary production which were not present in the original datasets. Subsequently, we performed a general analysis of the highlighting the relationships between the variables from a numerical and an ecological perspective. Data paucity is one of the main issues hindering the comprehension of complex natural processes. We believe that an updated and improved global dataset, complemented by an analysis of its characteristics, can be of interest to anyone studying marine phytoplankton production and the processes related to it. The dataset described in this work is published in the PANGAEA repository. DOI: https://doi.pangaea.de/10.1594/PANGAEA.932417 (Mattei and Scardi, 2021)

Publisher

Copernicus GmbH

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Productivity of Marine Ecosystem Components;Marine Ecology: Current and Future Developments;2023-11-02

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