Back to Search Start Over

Air-quality networks collect environmental DNA with the potential to measure biodiversity at continental scales.

Authors :
Littlefair JE
Allerton JJ
Brown AS
Butterfield DM
Robins C
Economou CK
Garrett NR
Clare EL
Source :
Current biology : CB [Curr Biol] 2023 Jun 05; Vol. 33 (11), pp. R426-R428.
Publication Year :
2023

Abstract

One of the biggest planetary challenges is the accelerating loss of biodiversity threatening ecosystem functioning on a global scale. The WWF Living Planet Report (https://livingplanet.panda.org/) estimates a 69% decline in populations since 1970. The Convention on Biological Diversity and related international treaties ask countries to monitor shifts in community composition and assess rates of species decline to quantify extant biodiversity relative to global targets <superscript>1</superscript> . However, quantifying biodiversity is a challenge, and monitoring continual change is impossible at almost any scale due to a lack of standardized data and indicators <superscript>2</superscript> <superscript>,</superscript> <superscript>3</superscript> . A common problem is that the required infrastructure for such global monitoring does not exist. Here, we challenge this notion by analysing environmental DNA (eDNA) captured along with particulate matter by routine ambient air quality monitoring stations in the UK. In our samples, we identified eDNA from >180 vertebrate, arthropod, plant and fungal taxa representative of local biodiversity. We contend that air monitoring networks are in fact gathering eDNA data reflecting local biodiversity on a continental scale, as a result of their routine function. In some regions, air quality samples are stored for decades, presenting the potential for high resolution biodiversity time series. With minimal modification of current protocols, this material provides the best opportunity to date for detailed monitoring of terrestrial biodiversity using an existing, replicated transnational design and it is already in operation.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2023 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1879-0445
Volume :
33
Issue :
11
Database :
MEDLINE
Journal :
Current biology : CB
Publication Type :
Report
Accession number :
37279659
Full Text :
https://doi.org/10.1016/j.cub.2023.04.036