• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, December 20, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Biology

New approach for determining conservation threat for species with little data

Bioengineer by Bioengineer
May 22, 2019
in Biology
Reading Time: 3 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

University of British Columbia researchers have found a new way to identify which marine species are threatened and what is threatening them, even if these species lack data, a new study published in the journal Conservation Biology shows.

“A tremendous challenge in marine conservation is that the conservation status and locations of high human pressures for so many marine species are still unknown,” said Xiong Zhang, lead author and Ocean Leaders Postdoctoral Fellow at UBC’s Institute for the Oceans and Fisheries. While threatened species are typically identified through the International Union for Conservation of Nature (IUCN) Red List assessments, many evaluated marine species have been classified as Data Deficient, while thousands of others have not yet been assessed.

“By quantifying and mapping the combined human pressures on individual species – using existing, if scarce, data, modeling techniques and expert knowledge – we can address this challenge,” Zhang explained.

Scientists have used various methods to bypass the lack of data for marine species, but these UBC researchers were among the first to model threats by estimating cumulative human impact (CHI) at the species-level.

“Our study indicates that modeling and mapping human impacts can reveal geographic overlaps between locations of seahorse populations and areas of human pressure for data-poor species,” said Dr. Amanda Vincent, senior author, and professor in UBC’s Institute for the Oceans and Fisheries, and co-founder and Director of Project Seahorse.

Looking specifically at seahorses – a rare and data-poor genus of marine fishes – worldwide, they mapped the human impact of 12 human-created stressors onto 42 seahorse species to predict which data-poor seahorses might actually be threatened, what is threatening them and which areas are under the greatest threat.

The researchers found that five of 17 seahorse species where the conservation status was previously unknown were actually probably under threat. China, Southeast Asia and Europe were identified as major threat epicentres for seahorses, having the highest level of combined human pressures for populations of 33 seahorse species. While seahorses are threatened by a variety of human activities, the researchers identified non-selective bottom fishing, as well as ocean and nutrient pollution, as putting more severe pressures on global seahorse populations.

Given these results, since all 19 threatened seahorse species – including the five identified by this study – are traded internationally, they need focused attention under agreements like the United Nations Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), especially in China and Southeast Asian countries where seahorses and marine ecosystems are already highly impacted. The researchers also call for local managers to tailor their threat-mitigation plans to focus on particular species, rather than focusing solely on marine ecosystems more broadly, to achieve better conservation outcomes.

“Species-level CHI modelling could provide a new approach to species conservation,” said Vincent. “With it, we could estimate conservation status for thousands of Data Deficient species on the IUCN Red List.”

###

The study “Using cumulative-human-impact models to reveal global threat patterns for seahorses” was published in the journal Conservation Biology.

Project Seahorse

Project Seahorse is a marine conservation group based at the University of British Columbia, Canada, and Zoological Society of London. Project Seahorse works to protect seahorses in order to support ocean conservation more broadly, generating cutting-edge research and using it to inform highly effective conservation interventions. Led by Prof. Amanda Vincent and Dr. Heather Koldewey, both global experts on seahorse conservation, Project Seahorse has won many international awards and honours, and works in collaboration with researchers, governments, conservation groups and local communities worldwide. Our work has been recognized with many international awards and honours, including the Rolex Award for Enterprise and the Whitley Award in Animal Conservation.

Media Contact
Katherine Came
[email protected]

Related Journal Article

http://fisheries.sites.olt.ubc.ca/?p=11326
http://dx.doi.org/10.1111/cobi.13325

Tags: BiologyEcology/EnvironmentFisheries/AquacultureMarine/Freshwater BiologyOceanography
Share12Tweet8Share2ShareShareShare2

Related Posts

BCL2 Gene Linked to Canine Mammary Tumors Enhanced

BCL2 Gene Linked to Canine Mammary Tumors Enhanced

December 20, 2025
Unveiling Genomes: Vincetoxicum Pycnostelma Revealed

Unveiling Genomes: Vincetoxicum Pycnostelma Revealed

December 20, 2025

Targeted Knock-In of Mouse Y Chromosomal Genes

December 20, 2025

Choosing Models: Linking Cat Intake to Socioeconomics

December 19, 2025
Please login to join discussion

POPULAR NEWS

  • Nurses’ Views on Online Learning: Effects on Performance

    Nurses’ Views on Online Learning: Effects on Performance

    70 shares
    Share 28 Tweet 18
  • NSF funds machine-learning research at UNO and UNL to study energy requirements of walking in older adults

    71 shares
    Share 28 Tweet 18
  • Unraveling Levofloxacin’s Impact on Brain Function

    53 shares
    Share 21 Tweet 13
  • Exploring Audiology Accessibility in Johannesburg, South Africa

    51 shares
    Share 20 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Mapping Health Risks in Atopic Eczema Patients

Immune and Metabolic Markers Define Parkinson’s Constipation Types

MicroRNAs in Breastmilk of Overweight Mothers Reviewed

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 70 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.