Dataset: Catch revenue by community

Name: Total catches and estimated revenue by species for communities-at-sea based on landings reported on Vessel Trip Reports
Published: 2019-04-24
Keywords: oceans

Cite This Dataset

DOI:10.1575/1912/bco-dmo.765560.1

Temporal Extent: 1996 - 2014

Project:

Adaptations of fish and fishing communities to rapid climate change (CC Fishery Adaptations)

Principal Investigator:

Malin Pinsky (Rutgers University)

Lauren Rogers (Stanford University)

Co-Principal Investigator:

Robert Griffin (Stanford University)

Kevin St. Martin (Rutgers University)

Scientist:

Emma Fuller (Princeton University)

Talia Young (Rutgers University)

Contact:

Lauren Rogers (National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center, NOAA-AFSC)

BCO-DMO Data Manager:

Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2019-04-24

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Total catches and estimated revenue by species for communities-at-sea based on landings reported on Vessel Trip Reports

Abstract:

Total catches and estimated revenue by species for communities-at-sea based on landings reported on Vessel Trip Reports (VTRs). Landings data were compiled from VTRs and summed over the available years of data for each community.

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Archival Copy

Version Date	Archive	Persistent Identifier	Date Assigned
2019-04-24	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.1575/1912/bco-dmo.765560.1	2019-05-22

Methods & Sampling

The following methods are excerpted from Rogers et al. (in press):
Landings data were compiled from vessel trip reports and summed over the available years of data for each community. Price information was extracted from NOAA Fisheries, Fisheries Statistics Division (https://www.st.nmfs.noaa.gov/st1/commercial/landings/annual_landings.html). We used the average price per lb by species, adjusted for inflation (real 2014 prices in US$), over the period for which we had community-level data. State-level prices were used when available, and otherwise regional prices were used.

Data Processing Description

Data were processed using R version 3.4.4.

BCO-DMO Processing:
- replaced periods with underscores in the column headers.

Data Files

File
catch_revenue_by_community.csv (Comma Separated Values (.csv), 551.28 KB) MD5:c6612e6c523ea62aa3b33ae5004e8d68 Primary data file for dataset ID 765560

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1426891

Deployments

None available yet

Instruments

None available yet

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
lbs_caught	Total number of pounds caught of this species	pounds (lbs)	no_bcodmo_term
totalCatch	Total catch (in pounds) of all species for this community.	pounds (lbs)	no_bcodmo_term
pCatch	Proportion of totalCatch comprised of this species.	unitless	no_bcodmo_term
meanPrice	Mean price per pound (inflation adjusted) based on estimated state-level prices.	US dollars per pound (USD/lb)	no_bcodmo_term
rev	Estimated revenue associated with catch of this species for this community	US dollars (USD)	no_bcodmo_term
totalRev	Total estimated revenue for this community.	US dollars (USD)	no_bcodmo_term
pRev	Proportion of totalRev from this species for this community.	unitless	no_bcodmo_term
community	Community-at-sea	unitless	site
years	Number of years the community was extant	unitless	site_descrip
sppcode	Code used to identify species	unitless	taxon
sppname	Species common name	unitless	taxon
species	Genus species. Only given for the species included in this study.	unitless	taxon