• Home
  • New initiatives
  • Partners
  • Tools
  • About us
  • Blog
  • Opportunities
  • Contact

Predicting global hotspots of risks to unmonitored seagrass meadows

  • Posted by Natasha Watson
  • On November 30, 2021

By Dr Mischa Turschwell

Seagrasses are marvellous coastal ecosystems that provide a range of critical ecosystem functions and services, including climate regulation and fisheries production, however they are under threat.

It has been difficult to know where seagrass meadows around the world are at high risk of loss due to a lack of monitoring. Seagrass is challenging to monitor as it’s predominately found underwater and cannot be easily observed from satellites, like mangroves can. In our recent paper, published in PNAS, we have been able to gap-fill and predict the risk of seagrass loss in regions where no long-term monitoring exists. With colleagues from Simon Fraser University, the University of British Columbia, Swansea University and James Cook University, we used data from the places around the world where seagrass trends have been assessed to be able to calculate where risks to seagrass are greatest.

These predictions can help target where monitoring can be put in place and focus seagrass conservation actions on where they are needed. We identified the areas at high risk of seagrass loss that are not being monitored. These include the North Sea, the Baltic Sea, the northern British Isles, the western North Atlantic, the Gulf of Saint Lawrence, the northeast Pacific Ocean, Japan, and several hotspots in Southeast Asia.

The top pressures we found contributing to seagrass decline are poor water quality and destructive fisheries practices, such as trawling. Other pressures driving declines in seagrass area included extreme sea surface temperatures, shipping and organic chemical pollution. Reducing these pressures can help conserve seagrass. We found that Seagrasses with different life histories had variable responses to human pressures, with persistent seagrass species having the most stable trajectories.

By identifying likely hotspots of change, our results provide a guide for future monitoring efforts to support the protection and conservation of the world’s seagrass meadows.

For more information see Turschwell et al. 2021, Anthropogenic pressures and life history predict trajectories of seagrass meadow extent at a global scale.

 

0 Comments

Recent Posts
  • Smarter monitoring for healthier oceans: How the GLOW team uses FishID
  • Mapping shellfish reefs in southeast Queensland for protection, management and restoration
  • New Paper: Integrating socioeconomic and ecological data into restoration practice
  • Fish AI Consortium Presentation: Rapid improvements in fisheries monitoring with underwater computer vision
  • Co-occurrence of ecosystem services to inform global mangrove conservation planning
Archives
  • May 2025
  • January 2025
  • December 2024
  • April 2024
  • February 2024
  • January 2024
  • December 2023
  • August 2023
  • November 2022
  • March 2022
  • February 2022
  • November 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • January 2021
  • December 2020
  • October 2020
  • September 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • January 2020
  • November 2019
  • October 2019
  • September 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • December 2018
Categories
  • Blue Carbon
  • Communication
  • Conference
  • Conservation
  • FishID projects
  • Jobs
  • News
  • Opinion
  • Research
  • Uncategorized

2021 Coastal Wetlands Twitter Conference Presentations

Previous thumb

AidEx Webinar Series - The Situation at the Coast

Next thumb
Scroll
PhD APPLICATIONS OPEN

Range of projects available with up to $15,000 funds for field work and collaborative travel.

Find out more

PARTNERING FOR CHANGE

GLOW is proud to be an active member of the Global Mangrove Alliance.

Check out the GMA website

@2018 Griffith University, CRICOS Provider - 00233E. Images: Tom Rayner, Anusha Rajkaran and via Creative Commons.
  • Home
  • New initiatives
  • Partners
  • Tools
  • About us
  • Blog
  • Opportunities
  • Contact