Salmonid Biomass in Streams Around the World: A Quantitative Synthesis

ABSTRACT Salmonid fishes are one of the best studied fish taxa, but little is known about their biomass distribution. We created a dataset using published material for over 1000 rivers with estimated salmonid biomass, covering 27 countries, and 11 species. The distribution of salmonid biomass and production across streams was skewed to the right with a mean biomass and production of 5.2 g/m 2 (range = 0–70.3 g/m 2 ) and 6.3 g/m 2 /year (range = 0.03–50.2 g/m 2 /year), respectively. The top 10% and 1% of salmonid streams in the world had a biomass > 11.9 and 36.5 g/m 2 , respectively, and a production > 13.9 and 25.6 g/m 2 /year, respectively. Salmonid production was positively correlated with biomass ( r = 0.82, n = 194), with a mean production to biomass (P/B) ratio of 1.08, which differed among species. Mean biomass declined 38% over time, from 8.6 g/m 2 before 1980 to 5.4 g/m 2 in 2000–2020. Biomass was also higher in small streams (< 10 m wide) and in streams where smaller areas were sampled. Brown trout ( Salmo trutta ) streams represented a higher proportion of those with biomass > 10 g/m 2 than many other species. In addition to the variables mentioned above, salmonid biomass in streams was affected by species, season, method of sampling, elevation, latitude, and migratory strategy. Expanding the list of variables would be useful for developing models to predict salmonid biomass and the conditions for an outstanding salmonid stream, defined as a stream which has a biomass estimate in the top 1% worldwide.

Authors

Institutions

Publication Details

Journal
Fish and Fisheries
Published
2025-02-16
DOI
https://doi.org/10.1111/faf.12887
Citations
1
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
2.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Salmonid Biomass in Streams Around the World: A Quantitative Synthesis

Kyleisha J. Foote, Pascale M. Biron, James W. A. Grant
1 citations
Fish and Fisheries
Fish Ecology and Management Studies
2.31
article

Salmonid Biomass in Streams Around the World: A Quantitative Synthesis

Kyleisha J. Foote, Pascale M. Biron, James W. A. Grant
article en
1 citations

Abstract

ABSTRACT Salmonid fishes are one of the best studied fish taxa, but little is known about their biomass distribution. We created a dataset using published material for over 1000 rivers with estimated salmonid biomass, covering 27 countries, and 11 species. The distribution of salmonid biomass and production across streams was skewed to the right with a mean biomass and production of 5.2 g/m 2 (range = 0–70.3 g/m 2 ) and 6.3 g/m 2 /year (range = 0.03–50.2 g/m 2 /year), respectively. The top 10% and 1% of salmonid streams in the world had a biomass > 11.9 and 36.5 g/m 2 , respectively, and a production > 13.9 and 25.6 g/m 2 /year, respectively. Salmonid production was positively correlated with biomass ( r = 0.82, n = 194), with a mean production to biomass (P/B) ratio of 1.08, which differed among species. Mean biomass declined 38% over time, from 8.6 g/m 2 before 1980 to 5.4 g/m 2 in 2000–2020. Biomass was also higher in small streams (< 10 m wide) and in streams where smaller areas were sampled. Brown trout ( Salmo trutta ) streams represented a higher proportion of those with biomass > 10 g/m 2 than many other species. In addition to the variables mentioned above, salmonid biomass in streams was affected by species, season, method of sampling, elevation, latitude, and migratory strategy. Expanding the list of variables would be useful for developing models to predict salmonid biomass and the conditions for an outstanding salmonid stream, defined as a stream which has a biomass estimate in the top 1% worldwide.

Fish and FisheriesVol. 26(3)
Concordia University (CA)
Groupe de recherche interuniversitaire en limnologie, Natural Sciences and Engineering Research Council of Canada, Fonds de recherche du Québec – Nature et technologies
Openalex Percentile: Top 17%
Fish Ecology and Management Studies
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.