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
  • [31] Distinguishing the distributions of two cryptic frogs (Anura: Discoglossidae) using molecular data and environmental modeling
    Real, R
    Barbosa, AM
    Martínez-Solano, I
    García-París, M
    CANADIAN JOURNAL OF ZOOLOGY, 2005, 83 (04) : 536 - 545
  • [32] Data-poor stock assessment of fish stocks co-exploited by commercial and recreational fisheries: Applications to pike Esox lucius in the western Baltic Sea
    van Gemert, Rob
    Koemle, Dieter
    Winkler, Helmut
    Arlinghaus, Robert
    FISHERIES MANAGEMENT AND ECOLOGY, 2022, 29 (01) : 16 - 28
  • [33] Seasonal Estimates of Fish Biomass and Length Distributions Using Acoustics and Traditional Nets to Identify Estuarine Habitat Preferences in Barataria Bay, Louisiana
    Boswell, Kevin M.
    Wilson, Matthew P.
    MacRae, Pamela S. D.
    Wilson, Charles A.
    Cowan, James H., Jr.
    MARINE AND COASTAL FISHERIES, 2010, 2 (01): : 83 - 97
  • [34] Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model
    Edward Morey
    Jennifer Thacher
    William Breffle
    Environmental and Resource Economics, 2006, 34 : 91 - 115
  • [35] Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms
    Elahi, Ehsan
    Khalid, Zainab
    APPLIED ENERGY, 2022, 326
  • [36] Using angler characteristics and attitudinal data to identify environmental preference classes: A latent-class model
    Morey, E
    Thacher, J
    Breffle, W
    ENVIRONMENTAL & RESOURCE ECONOMICS, 2006, 34 (01): : 91 - 115
  • [37] Neighbourhood correlates of average population walking: using aggregated, anonymised mobile phone data to identify where people walk
    Zahnow, Renee
    Kimpton, Anthony
    Corcoran, Jonathan
    Mielke, Gregore
    HEALTH & PLACE, 2022, 77
  • [38] Using Random Forest Models to Identify Correlates of a Diabetic Peripheral Neuropathy Diagnosis from Electronic Health Record Data
    DuBrava, Sarah
    Mardekian, Jack
    Sadosky, Alesia
    Bienen, E. Jay
    Parsons, Bruce
    Hopps, Markay
    Markman, John
    PAIN MEDICINE, 2017, 18 (01) : 107 - 115
  • [39] Modeling freshwater fish distributions using multiscale landscape data: A case study of six narrow range endemics
    Hopkins, Robert L., II
    Burr, Brooks M.
    ECOLOGICAL MODELLING, 2009, 220 (17) : 2024 - 2034
  • [40] A discussion of "Using angler characteristics and attitudinal data to identify environmental preference classes: A latent-class model"
    Provencher, B
    Moore, R
    ENVIRONMENTAL & RESOURCE ECONOMICS, 2006, 34 (01): : 117 - 124