Keyword search (4,163 papers available)

"Grant JWA" Authored Publications:

Title Authors PubMed ID
1 A global dataset of salmonid biomass in streams Foote KJ; Grant JWA; Biron PM; 39472611
BIOLOGY
2 Global assessment of effective population sizes: Consistent taxonomic differences in meeting the 50/500 rule Clarke SH; Lawrence ER; Matte JM; Gallagher BK; Salisbury SJ; Michaelides SN; Koumrouyan R; Ruzzante DE; Grant JWA; Fraser DJ; 38613250
BIOLOGY
3 Recruitment dynamics of juvenile salmonids: Comparisons among populations and with classic case studies Matte JO; Fraser DJ; Grant JWA; 38599588
BIOLOGY
4 Morphological and Habitat Quality of Salmonid Streams and their Relationship with Fish-Based Indices in Aotearoa New Zealand and Ontario (Canada) Foote KJ; Biron PM; Grant JWA; 38172273
BIOLOGY
5 Demographic resilience of brook trout populations subjected to experimental size-selective harvesting Clarke SH; McCracken GR; Humphries S; Ruzzante DE; Grant JWA; Fraser DJ; 36426123
BIOLOGY
6 Exploring the threat-sensitive predator avoidance hypothesis on mate competition in two wild populations of Trinidadian guppies. Chuard PJC, Grant JWA, Ramnarine IW, Brown GE 32860863
BIOLOGY
7 Population variation in density-dependent growth, mortality and their trade-off in a stream fish. Matte JM, Fraser DJ, Grant JWA 31642512
BIOLOGY
8 Competition for food in 2 populations of a wild-caught fish. Chuard PJC, Brown GE, Grant JWA 30323840
BIOLOGY
9 Ideal despotic distributions in convict cichlids (Amatitlania nigrofasciata)? Effects of predation risk and personality on habitat preference. Church KDW, Grant JWA 30529688
BIOLOGY

 

Title:A global dataset of salmonid biomass in streams
Authors:Foote KJGrant JWABiron PM
Link:https://pubmed.ncbi.nlm.nih.gov/39472611/
DOI:10.1038/s41597-024-04026-0
Publication:Scientific data
Keywords:
PMID:39472611 Category: Date Added:2024-10-30
Dept Affiliation: BIOLOGY
1 Department of Geography, Planning and Environment, Concordia University, 1455 De Maisonneuve Blvd W., Montreal, H3G 1M8, Quebec, Canada. kyleisha.foote@mail.concordia.ca.
2 Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, H4B 1R6, Quebec, Canada.
3 Department of Geography, Planning and Environment, Concordia University, 1455 De Maisonneuve Blvd W., Montreal, H3G 1M8, Quebec, Canada.

Description:

Salmonid fishes are arguably one of the most studied fish taxa on Earth, but little is known about their biomass range in many parts of the world. We created a dataset of estimated salmonid biomass using published material of over 1000 rivers, covering 27 countries and 11 species. The dataset, spanning 84 years of data, is the largest known compilation of published studies on salmonid biomass in streams, allowing detailed analyses of differences in biomass by species, region, period, and sampling techniques. Production is also recorded for 194 rivers, allowing further analyses and relationships between biomass and production to be explored. There is scope to expand the list of variables in the dataset, which would be useful to the scientific community as it would enable models to be developed to predict salmonid biomass and production, among many other analyses.





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