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A unified analysis of global riverine eDNA reveals common associations of fish biodiversity with drainage characteristics

Abstract

Freshwater biodiversity is declining at a pace that outstrips the capacity of existing monitoring approaches both in temporal and spatial dimensions, highlighting the urgent need for rapid and scalable assessment and attribution of biodiversity states and changes. Here we present a global assessment and unified analysis of riverine fish biodiversity using environmental DNA collected from 1,818 sites across 113 river systems spanning 5 continents. We quantified species richness, functional redundancy, phylogenetic diversity and genetic sequence diversity, and related them to drainage characteristics. Our results showed that environmental DNA effectively captured global patterns of multi-faceted riverine fish biodiversity and disentangled the roles of climate and different aspects of human activities in shaping biodiversity–area relationships. The accumulation of biodiversity with catchment area was consistently enhanced in warmer climates, while human activities weakened this scaling. Further, species richness, functional and genetic sequence diversity exhibited stronger negative responses to human activities in larger catchments. In contrast, phylogenetic diversity was negatively affected by human activities, yet this effect diminished as catchment area increased, highlighting the facet-dependent nature of biodiversity responses to environmental gradients and catchment characteristics. Our findings demonstrate the power of environmental-DNA-based datasets for harmonized, multi-faceted biodiversity assessments, offering a scalable approach for detecting and attributing biodiversity change and informing conservation strategies under accelerating global change.

Category

Academic article

Language

English

Author(s)

  • Yan Zhang
  • Heng Zhang
  • Hiroshi Akashi
  • Camille P. Albouy
  • Kara J. Andres
  • José Barquín
  • Jeanine Brantschen
  • Richard E. Connon
  • Joseph M. Craine
  • Deirdre Gleeson
  • Alejandra Goldenberg-Vilar
  • Alexia M. González-Ferreras
  • Chelsea Hatzenbuhler
  • Kamil Hupało
  • Josephine Hyde
  • Wataru Iwasaki
  • Mark D. Johnson
  • Aron D. Katz
  • Vyacheslav V. Kuzovlev
  • Courtney E. Larson
  • Laurène Alicia Lecaudey
  • Florian Leese
  • Matthieu Leray
  • Feilong Li
  • Till Hendrik Macher
  • Quentin Mauvisseau
  • María Morán-Luis
  • Georgia Nester
  • Helio Quintero
  • Tsilavina Ravelomanana
  • Merin Reji Chacko
  • Mattia Saccò
  • Naiara Sales
  • Tamara Schenekar
  • Martin Schletterer
  • Saskia Schmidt
  • Nicholas O. Schulte
  • Robin Schütz
  • Jinelle H. Sperry
  • Emma R. Stevens
  • Sarah A. Stinson
  • Steven Weiss
  • Fei Xia
  • Hui Zhang
  • Song Zhang
  • Wenjun Zhong
  • Shuo Zong
  • Loïc Pellissier
  • Xiaowei Zhang
  • Florian Altermatt

Affiliation

  • SINTEF Ocean / Aquaculture
  • Sorbonne University
  • University of Cantabria
  • University of Salford
  • Russia
  • Tver State Technical University
  • Swiss Federal Institute of Technology Zürich
  • University of Zürich
  • Swiss Federal Institute for Forest Snow and Landscape Research WSL
  • Eawag - Swiss Federal Institute of Aquatic Science and Technology
  • University of Trier
  • University of Essen
  • Federal Institute of Hydrology
  • University of Graz
  • University of Natural Resources and Life Sciences, Vienna
  • University of Oslo
  • University of Antananarivo
  • The University of Hong Kong
  • Komazawa University
  • The University of Tokyo
  • Nanjing University
  • Yunnan University
  • Chinese Academy of Sciences
  • Guangdong University of Technology
  • Panama
  • USA
  • Stanford University
  • University of California, Davis
  • Illinois State University
  • University of Illinois at Urbana-Champaign
  • Cornell University
  • Australia
  • Curtin University
  • The University of Western Australia

Year

2026

Published in

Nature Ecology and Evolution

View this publication at Norwegian Research Information Repository