Using commercial landings data to identify environmental correlates with distributions of fish stocks

被引:9
|
作者
Sundermeyer, MA [1 ]
Rothschild, BJ
Robinson, AR
机构
[1] Univ Massachusetts Dartmouth, Sch Marine Sci & Technol, New Bedford, MA USA
[2] Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA
关键词
Atlantic cod; commercial landings; depth; environmental correlates; Gadus morhua; haddock; Melanogrammus aeglefinus; sediment type; temperature;
D O I
10.1111/j.1365-2419.2004.00302.x
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
We examined the efficacy of using commercial landings data to identify potential environmental correlates with fish distributions. Historical landings data for two commercially important species, Atlantic cod (Gadus morhua) and haddock (Melanogrammus aeglefinus), were used along with historical conductivity, temperature, and depth (CTD) data to infer monthly mean spatial distributions of catch per unit effort (CPUE), temperature, salinity, density, and stratification over Georges Bank. Relationships between CPUE and these environmental variables plus bottom sediment type and bottom depth were examined on seasonal, annual, and interannual time scales. Empirical analysis suggests that both cod and haddock are found preferentially in water temperatures of approximately 5degreesC in winter/spring, and as high as 10-11degreesC during late fall. Both species are also found preferentially over coarse sand and gravel as opposed to fine sand, and in water depths between 60 and 70 m. These preferences appear to vary seasonally. The above results are consistent with findings of previous investigators using semi-annual research trawl survey data, and suggest that commercial landings data, despite their known errors and biases, can be used effectively to infer associations between fish and their environment.
引用
收藏
页码:47 / 63
页数:17
相关论文
共 50 条
  • [1] Assessment of environmental correlates with the distribution of fish stocks using a spatially explicit model
    Sundermeyer, Miles A.
    Rothschild, Brian J.
    Robinson, Allan R.
    ECOLOGICAL MODELLING, 2006, 197 (1-2) : 116 - 132
  • [2] Environmental influence on commercial fishery landings of small pelagic fish in Portugal
    Célia M. Teixeira
    Rita Gamito
    Francisco Leitão
    Alberto G. Murta
    Henrique N. Cabral
    Karim Erzini
    Maria José Costa
    Regional Environmental Change, 2016, 16 : 709 - 716
  • [3] Evaluation of status of commercial fish stocks in European marine subareas using mean trophic levels of fish landings and spawning stock biomass
    Jayasinghe, R. P. Prabath K.
    Amarasinghe, Upali S.
    Newton, Alice
    OCEAN & COASTAL MANAGEMENT, 2017, 143 : 154 - 163
  • [4] Environmental influence on commercial fishery landings of small pelagic fish in Portugal
    Teixeira, Celia M.
    Gamito, Rita
    Leitao, Francisco
    Murta, Alberto G.
    Cabral, Henrique N.
    Erzini, Karim
    Costa, Maria Jose
    REGIONAL ENVIRONMENTAL CHANGE, 2016, 16 (03) : 709 - 716
  • [5] Locally and remotely forced environmental influences on California commercial fish and invertebrate landings
    Norton, JG
    Mason, JE
    CALIFORNIA COOPERATIVE OCEANIC FISHERIES INVESTIGATIONS REPORTS, 2004, 45 : 136 - 145
  • [6] Environmental drivers affecting the status of top commercial fish stocks in the Baltic Sea: review
    Rosciszewski-Dodgson, Michael J.
    Cirella, Giuseppe T.
    FRONTIERS IN MARINE SCIENCE, 2024, 11
  • [7] An assessment of the biomass production theory in the Baltic Sea using fish landings data
    Enin, UI
    Gröger, J
    JOURNAL OF APPLIED ICHTHYOLOGY, 2004, 20 (05) : 362 - 368
  • [8] Image-based, unsupervised estimation of fish size from commercial landings using deep learning
    Alvarez-Ellacuria, Amaya
    Palmer, Miquel
    Catalan, Ignacio A.
    Lisani, Jose-Luis
    ICES JOURNAL OF MARINE SCIENCE, 2020, 77 (04) : 1330 - 1339
  • [9] Modelling commercial fish distributions: Prediction and assessment using different approaches
    Jones, Miranda C.
    Dye, Stephen R.
    Pinnegar, John K.
    Warren, Rachel
    Cheung, William W. L.
    ECOLOGICAL MODELLING, 2012, 225 : 133 - 145
  • [10] Amphibian declines and environmental change: Use of remote-sensing data to identify environmental correlates
    Carey, C
    Heyer, WR
    Wilkinson, J
    Alford, RA
    Arntzen, JW
    Halliday, T
    Hungerford, L
    Lips, KR
    Middleton, EM
    Orchard, SA
    Rand, AS
    CONSERVATION BIOLOGY, 2001, 15 (04) : 903 - 913