Fish biomass and density data for 3 intensively studied Wessex chalkstream sites, England, UK
bibliographic citation: Jones, J.I., Arnold, A., Pretty, J., Duerdoth, C., Murphy, J., Hawczak, A., Scott, L., Lauridsen, R., Beaumont, W. (2017). Fish biomass and density data for 3 intensively studied Wessex chalkstream sites, England, UK. NERC Environmental Information Data Centre. https://doi.org/10.5285/7eee41f8-dbde-4b5e-b2d5-7296b5bfc558
description: Density and biomass of fish taxa from three chalkstreams in the Wessex chalk area: Nine Mile River, River Till and River Wylye. Data were collected on five occasions, between October 2012 and October 2013. The density of fish taxa at each of the three streams was estimated using benthic fish sampling and multi-pass electrofishing. The mean biomass of individuals of each taxon at each site on each occasion was then applied to the density estimates to derive an estimate of the biomass per m2 of each taxon at each site on each occasion. Data were collected to quantify food webs detailing the flux of mass and nutrients between nodes of the food web. This dataset was created as part of work package 3.2 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project.
provenance: ProvenanceStatement
  label: Samples were collected on five separate occasions from the three sites. Sampling did not occur during the salmonid breeding season, December to March, so as not to disturb redds. Protocols and standard procedures were strictly followed for benthic fish sampling and electrofishing but there was no formal quality assurance procedure, such as repeat surveying of the same reach on a different day within the same sampling period. Electrofishing was undertaken by fully qualified and very experienced fish biologists (Bill Bellamy and Luke Scott) from the Game and Wildlife Conservation Trust. Fish populations were assessed by multi-pass electrofishing. Population density estimates were derived using the the Zippin maximum likelihood method (Zippin, 1958). As electrofishing is not particularly effective at catching certain benthic species e.g. bullheads, stone loach, we used a modified Hess sampler (0.12 m2) to assess populations of these species, deployed 20 times on each date, using a stratified-random regime. The mean biomass of individuals of each taxa captured at each site on each occassion was determined using length-mass regressions, and multiplied by the density estimate to derive a biomass estimate.
spatial: Location
temporal: PeriodOfTime
  start date: 2012-10-01
  end date: 2013-10-31
publisher: NERC Environmental Information Data Centre
subject: Wessex BESS
type: Dataset
available: 2017-06-26
landing page: https://doi.org/10.5285/7eee41f8-dbde-4b5e-b2d5-7296b5bfc558
license: OGL-UK-3.0.ttl
rights: RightsStatement
  copyright notice: copyright Queen Mary University of London
rights: RightsStatement
  copyright notice: copyright Game and Wildlife Conservation Trust
access rights: RACC
language: en

Murphy, J.
type: Person
family name: Murphy
given name: J.
member: Queen Mary University of London

NERC Environmental Information Data Centre
type: Organization

Jones, J.I.
type: Person
family name: Jones
given name: J.I.
member: Queen Mary University of London

Arnold, A.
type: Person
family name: Arnold
given name: A.
member: Queen Mary University of London

Pretty, J.
type: Person
family name: Pretty
given name: J.
member: Queen Mary University of London

Duerdoth, C.
type: Person
family name: Duerdoth
given name: C.
member: Queen Mary University of London

Murphy, J.
type: Person
family name: Murphy
given name: J.
member: Queen Mary University of London

Hawczak, A.
type: Person
family name: Hawczak
given name: A.
member: Queen Mary University of London

Scott, L.
type: Person
family name: Scott
given name: L.
member: Game and Wildlife Conservation Trust

Lauridsen, R.
type: Person
family name: Lauridsen
given name: R.
member: Game and Wildlife Conservation Trust

Beaumont, W.
type: Person
family name: Beaumont
given name: W.
member: Game and Wildlife Conservation Trust

Queen Mary University of London
type: Organization

Game and Wildlife Conservation Trust
type: Organization