Asset Details
Do you wish to reserve the book?
Prioritisation of ocean biodiversity data collection to deliver a sustainable ocean
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Prioritisation of ocean biodiversity data collection to deliver a sustainable ocean
Do you wish to request the book?
Prioritisation of ocean biodiversity data collection to deliver a sustainable ocean
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Prioritisation of ocean biodiversity data collection to deliver a sustainable ocean
2025
Overview
Fundamental ecological questions about the distribution of ocean life remain unanswered, hindering both the effective management of the ocean, and our comprehension of life on this planet. The benthic and pelagic realms are subject to different methods of study, and to understand where to best focus effort, a thorough understanding of existing information is required, allowing identification of critical knowledge gaps. Open-access data repositories provide a valuable means to identify such gaps; however, these repositories are subject to challenges in separating benthic from pelagic data. Here we demonstrate an automated data pipeline for extracting and separating benthic from pelagic data in open-access repositories. By stratifying data against essential ocean variables in a critical gap analysis, we show that large spatial and taxonomic biases exist in both the benthic and pelagic global datasets, favouring depths shallower than ~100 m, the northern hemisphere, and vertebrate species. The newly compiled, cleaned, and classified dataset is used to identify areas of chronic under sampling and high-priority regions for exploration. We argue that coordinated strategic prioritisation of sampling is needed to support modelling and prediction, enabling us to better manage our oceans and comprehend life on Earth.
Large spatial and taxonomic biases exist in ocean ecological datasets, with shallow depths, the northern hemisphere, and vertebrate species being favoured, according to a critical gap analysis of open-access datasets.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
