Marine & Environmental Sciences Faculty Articles

Document Type

Article

Publication Date

9-2018

Publication Title

Oceanography

ISSN

1042-8275

Volume

31

Issue/No.

3

First Page

76

Last Page

89

Abstract

Approaches to measuring marine biological parameters remain almost as diverse as the researchers who measure them. However, understanding the patterns of diversity in ocean life over different temporal and geographic scales requires consistent data and information on the potential environmental drivers. As a group of marine scientists from different disciplines, we suggest a formalized, consistent framework of 20 biological, chemical, physical, and socioeconomic parameters that we consider the most important for describing environmental and biological variability. We call our proposed framework the General Ocean Survey and Sampling Iterative Protocol (GOSSIP). We hope that this framework will establish a consistent approach to data collection, enabling further collaboration between marine scientists from different disciplines to advance knowledge of the ocean (deep-sea and mesophotic coral ecosystems).

Comments

This is an open access article made available under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format as long as users cite the materials appropriately, provide a link to the Creative Commons license, and indicate the changes that were made to the original content. Images, animations, videos, or other third-party material used in articles are included in the Creative Commons license unless indicated otherwise in a credit line to the material. If the material is not included in the article’s Creative Commons license, users will need to obtain permission directly from the license holder to reproduce the material.

Additional Comments

NERC Deep Links grant #: NE/K011855/1; ERC Starting Grant project CODEMAP grant #: 258482; European Union's Horizon 2020 Research and Innovation Program grant agreement #: 678760 (ATLAS)

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

ORCID ID

0000-0002-5280-7071

DOI

10.5670/oceanog.2018.301

Peer Reviewed

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