Ecological Archives E096-226-D1

S. Jennings and S. M. Cogan. 2015. Nitrogen and carbon stable isotope variation in northeast Atlantic fishes and squids. Ecology 96:2568. http://dx.doi.org/10.1890/15-0299.1


Metadata

Class I. Data set descriptors

A. Data set identity: Nitrogen and carbon stable isotope variation in northeast Atlantic fishes and squids.

B. Data set identification code: SIA_N_C_Atlantic_marine_fishes_squids_20150105_v1

C. Data set description: 5535 records of δ15N and δ13C natural abundance for individual marine fishes and squids from the Celtic Sea, Channel, Irish Sea and North Sea in the northeast Atlantic. Data were collected from 2002 to 2010. Individuals from each species in each region were sampled to span the range of body sizes present. For species with juvenile stages living offshore the sampling included juveniles. For species with juvenile stages using estuaries and coastal habitats it did not. The range of species and body sizes included in the dataset and the associated δ15N and δ13C estimates for muscle tissue are summarized in Figs. 1 and 2.

Principal Investigator: Simon Jennings, Centre for Environment, Fisheries and Aquaculture Science, Lowestoft, Suffolk, NR33 0HT, UK. [email protected]).

Abstract: Nitrogen and carbon stable isotope data are frequently used to describe the origins and transformations of organic matter. Nitrogen stable isotopes (δ15N) in tissue are used to estimate species’ trophic levels, the extent of omnivory, food chain length, and community-wide relationships between body size and trophic level; the latter leading to estimates of predator–prey mass ratios for parameterization, calibration, and validation of food web models. Carbon stable isotopes (δ13C) are used to identify pathways linking producers and consumers and for studies of migration and movement. Collectively, δ15N and δ13C, often with other stable isotopes such as δ34S, may be used to define the contribution of different producers and pathways to consumer production, to assess the trophic impacts of invasive species and habitat modification, and to predict past habitat use, movements, and migrations. Stable isotope data often complement dietary data (e.g., from stomach contents) in food web studies, because stable isotope composition is indicative of assimilated diet over months to years, depending on species, size, environment, and tissue type. There are relatively few large-scale compilations of δ15N and δ13C data for marine species from offshore habitats, but such data facilitate comparative analysis and research into food web structure and function. The data provided comprise 5535 records for individuals of 62 species of fish and squid weighing 0.3 g to 17920 g and sampled from the northeast Atlantic shelf seas (Celtic Sea, North Sea, Irish Sea, Channel) from 2002 to 2010. For every sampled individual the record lists: species name, date of sampling, position of sampling, body mass, percentage nitrogen in muscle tissue, percentage carbon in muscle tissue, and δ15N and δ13C natural abundance in muscle tissue. Awareness of, and access to, these data should catalyze and facilitate new research with stable isotopes, to improve understanding of marine biology, food web ecology, and human impacts on the environment.

D. Key words: body size; cephalopod; consumer; elasmobranch; food chain; food web; marine; producer; teleost; trophic position; stable isotopes.


Class II. Research origin descriptors

A. Overall project description

Identity: Marine food webs

Originator: Simon Jennings, Centre for Environment, Fisheries and Aquaculture Science, Lowestoft, Suffolk, NR33 0HT, UK.

Period of Study: 2002–ongoing

Objectives: To improve knowledge of marine food webs; to support development of models of human and environmental impacts.

Sources of funding:U.K. Department of Environment, Food and Rural Affairs. Grants: MF0731 “Development and testing of ecological indicators and models to monitor and predict the ecosystem effects of fishing” (2002–2007), MF1001 “Ecosystem approach to fisheries” (2007–2012) and MF1225 “Developing the evidence base to support the integration of fisheries and environmental management” (2012, ongoing).


Class III. Data set status and accessibility

A. Status

Latest update: 1 May 2015.

Latest Archive date: 1 May 2015

Metadata status: The metadata are complete and up to date.

Data verification: Data quality has been checked as described in Class V, section B, below.

B. Accessibility

Storage location and medium: As well as being made available by Ecological Archives, copies of the latest version of the data file are stored on the network at the Centre for Environment, Fisheries and Aquaculture Science.

Contact person: Simon Jennings, Centre for Environment, Fisheries and Aquaculture Science, Lowestoft,Suffolk, NR33 0HT, UK.

Phone: +44 1502 562244, Fax: +44 1502 513865

E-mail: [email protected]

Copyright restrictions: None.

Proprietary restrictions: None.

Costs: None.


Class IV. Data structural descriptors

A. Data Set File

Identity: SIA_N_C_Atlantic_marine_fishes_squids_20150105_v1.csv

Size: 5535 records, excluding header row.

Format and storage mode: Text file “.csv” format.

Header information: Headers describe contents of columns. Detailed descriptions of column headers and contents are provided in Section B.

Alphanumeric attributes: Mixed.

Special characters/fields: None. All character and numeric fields are complete and follow descriptions in Table 1.

Authentication procedures: The data set comprises 5536 rows by 12 columns, including one row of headers (variable names). The sums of the 5535 records in each of the 10 columns containing numeric data are: “record”=15320880; “year”= 11112889; “DOY”= 1372534; “latitude”= 300563.1; “longitude”= -8533.36; “mass”= 2473971; “Nperc”=77571.26; “Cperc”= 254435.4; “d15N” =70738.57; “d13C”= -99601.6.

B. Variable information

Table 1 provides the name and description for each variable identified in the data set. Details of species identities are elaborated in Table 2.

Table 1. Details of variables used in data file “SIA_N_C_Atlantic_marine_fishes_squids_20150105_v1.csv”

Variable name

Variable definition

Units

Data type

Range of numeric values

record

Record number

N.A.

Integer

1:5535

species

Latin binomial species name (see Table 2 for list of species and taxonomic classification)

N.A.

Character

N.A.

year

Year of sampling

year

Integer

2002 : 2010

DOY

Day of year of sampling (from 1 January = DOY 1) in year of sampling

day

Integer

168 : 335

latitude

Latitude at sampling position (N)

Degrees

Numeric

49.05 : 59.50

longitude

Longitude at sampling position (E, positive values; W, negative values)

Degrees

Numeric

-08.91 : 02.00

sea

Sea area that includes sampling position

N.A.

Character

N.A.

mass

Total wet mass of sampled individual

g

Numeric

0.3 : 17920

Nperc

Percentage nitrogen by mass in dried muscle tissue

%

Numeric

2.65 : 28.86

Cperc

Percentage carbon by mass in dried muscle tissue

%

Numeric

11.20 : 93.86

d15N

Nitrogen stable isotope content of muscle tissue as δ15N

Numeric

5.77 : 19.25

d13C

Nitrogen stable isotope content of muscle tissue as δ13C

Numeric

-26.97 : -13.79

 

Table 2. Sampled species, taxonomic affiliations and size ranges of fishes for which δ15N and δ13C data are provided. Aphia ID is the unique species identification number used in the “World Register of Marine Species” (WoRMS).

Species

Authority

Common name (U.K.)

Aphia ID

Class

Order

Family

Number
of samples

Minimum
Weight (g)

Maximum
weight (g)

Agonus cataphractus

(Linnaeus, 1758)

pogge

127190

Actinopterygii

Scorpaeniformes

Agonidae

66

0.4

21.7

Alloteuthis subulata

(Lamarck, 1798)

squid

153131

Cephalopoda

Myopsida

Loliginidae

56

1.8

14.9

Amblyraja radiata

(Donovan, 1808)

starry ray

105865

Elasmobranchii

Rajiformes

Rajidae

144

5.3

735.0

Argentina silus

(Ascanius, 1775)

argentine

126715

Actinopterygii

Osmeriformes

Argentinidae

33

1.4

60.2

Arnoglossus laterna

(Walbaum, 1792)

scaldfish

127126

Actinopterygii

Pleuronectiformes

Bothidae

80

0.3

60.5

Bathyraja brachyurops

(Fowler, 1910)

blonde ray

271509

Elasmobranchii

Rajiformes

Arhynchobatidae

11

98.0

1942.0

Buglossidium luteum

(Risso, 1810)

solenette

127153

Actinopterygii

Pleuronectiformes

Soleidae

86

0.6

39.8

Callionymus lyra

Linnaeus, 1758

common dragonet

126792

Actinopterygii

Perciformes

Callionymidae

187

1.0

166.0

Callionymus maculatus

Rafinesque, 1810

spotted dragonet

126793

Actinopterygii

Perciformes

Callionymidae

25

0.9

23.6

Capros aper

(Linnaeus, 1758)

boarfish

127419

Actinopterygii

Perciformes

Caproidae

37

0.6

94.0

Chelidonichthys cuculus

(Linnaeus, 1758)

red gurnard

127259

Actinopterygii

Scorpaeniformes

Triglidae

102

22.1

508.6

Chelidonichthys lucerna

(Linnaeus, 1758)

tub gurnard

127262

Actinopterygii

Scorpaeniformes

Triglidae

85

15.1

1679.0

Clupea harengus

Linnaeus, 1758

herring

126417

Actinopterygii

Clupeiformes

Clupeidae

161

2.9

394.0

Conger conger

(Linnaeus, 1758)

conger eel

126285

Actinopterygii

Anguilliformes

Congridae

15

99.0

17920.0

Dicentrarchus labrax

(Linnaeus, 1758)

bass

126975

Actinopterygii

Perciformes

Moronidae

15

32.4

1275.0

Echiichthys vipera

(Cuvier, 1829)

lesser weaver

150630

Actinopterygii

Perciformes

Trachinidae

89

4.4

57.8

Eutrigla gurnardus

(Linnaeus, 1758)

grey gurnard

150637

Actinopterygii

Scorpaeniformes

Triglidae

248

1.7

724.5

Gadus morhua

Linnaeus, 1758

cod

126436

Actinopterygii

Gadiformes

Gadidae

228

5.2

13960.0

Glyptocephalus cynoglossus

(Linnaeus, 1758)

witch

127136

Actinopterygii

Pleuronectiformes

Pleuronectidae

42

2.6

643.0

Hippoglossoides platessoides

(Fabricius, 1780)

long rough dab

127137

Actinopterygii

Pleuronectiformes

Pleuronectidae

188

0.8

215.4

Hyperoplus immaculatus

(Corbin, 1950)

sandeel

126755

Actinopterygii

Perciformes

Ammodytidae

15

14.3

90.5

Lepidorhombus whiffiagonis

(Walbaum, 1792)

megrim

127146

Actinopterygii

Pleuronectiformes

Scophthalmidae

57

1.8

1943.0

Leucoraja naevus

(Müller & Henle, 1841)

cuckoo ray

105876

Elasmobranchii

Rajiformes

Rajidae

26

36.7

1183.0

Limanda limanda

(Linnaeus, 1758)

dab

127139

Actinopterygii

Pleuronectiformes

Pleuronectidae

295

1.3

504.8

Loligo forbesii

Steenstrup, 1857

northern squid

416668

Cephalopoda

Myopsida

Loliginidae

59

2.1

1970.0

Lophius piscatorius

Linnaeus, 1758

anglerfish

126555

Actinopterygii

Lophiiformes

Lophiidae

159

6.3

15750.0

Maurolicus muelleri

(Gmelin, 1789)

pearlside

127312

Actinopterygii

Stomiiformes

Sternoptychidae

10

0.3

2.4

Melanogrammus aeglefinus

(Linnaeus, 1758)

haddock

126437

Actinopterygii

Gadiformes

Gadidae

227

4.4

4040.0

Merlangius merlangus

(Linnaeus, 1758)

whiting

126438

Actinopterygii

Gadiformes

Gadidae

319

2.2

1980.0

Merluccius merluccius

(Linnaeus, 1758)

hake

126484

Actinopterygii

Gadiformes

Merlucciidae

58

4.6

8090.0

Microchirus variegatus

(Donovan, 1808)

thickback sole

274304

Actinopterygii

Pleuronectiformes

Soleidae

96

0.3

93.4

Micromesistius poutassou

(Risso, 1827)

blue whiting

126439

Actinopterygii

Gadiformes

Gadidae

48

19.9

306.6

Microstomus kitt

(Walbaum, 1792)

lemon sole

127140

Actinopterygii

Pleuronectiformes

Pleuronectidae

217

12.6

745.0

Molva molva

(Linnaeus, 1758)

ling

126461

Actinopterygii

Gadiformes

Lotidae

9

69.1

3734.0

Mustelus asterias

Cloquet, 1819

starry smoothhound

105821

Elasmobranchii

Carcharhiniformes

Triakidae

37

50.4

2304.0

Myoxocephalus scorpius

(Linnaeus, 1758)

bullrout

127203

Actinopterygii

Scorpaeniformes

Cottidae

19

26.8

222.8

Pegusa lascaris

(Risso, 1810)

sand sole

127156

Actinopterygii

Pleuronectiformes

Soleidae

31

22.3

311.8

Pleuronectes platessa

Linnaeus, 1758

plaice

127143

Actinopterygii

Pleuronectiformes

Pleuronectidae

279

4.7

1819.0

Pollachius pollachius

(Linnaeus, 1758)

pollack

126440

Actinopterygii

Gadiformes

Gadidae

7

207.4

1870.0

Pollachius virens

(Linnaeus, 1758)

saithe

126441

Actinopterygii

Gadiformes

Gadidae

147

28.2

11720.0

Raja clavata

Linnaeus, 1758

thornback ray

105883

Elasmobranchii

Rajiformes

Rajidae

118

20.8

5460.0

Raja microocellata

Montagu, 1818

painted ray

105885

Elasmobranchii

Rajiformes

Rajidae

8

261.0

4210.0

Raja montagui

Fowler, 1910

spotted ray

105887

Elasmobranchii

Rajiformes

Rajidae

64

18.4

1671.0

Sardina pilchardus

(Walbaum, 1792)

pilchard

126421

Actinopterygii

Clupeiformes

Clupeidae

23

7.7

141.8

Scomber scombrus

Linnaeus, 1758

mackerel

127023

Actinopterygii

Perciformes

Scombridae

155

17.6

864.0

Scophthalmus rhombus

(Linnaeus, 1758)

brill

127150

Actinopterygii

Pleuronectiformes

Scophthalmidae

45

170.7

2420.0

Scyliorhinus canicula

(Linnaeus, 1758)

lesser spotted dogfish

105814

Elasmobranchii

Carcharhiniformes

Scyliorhinidae

183

3.8

1099.5

Scyliorhinus stellaris

(Linnaeus, 1758)

nurse hound

105815

Elasmobranchii

Carcharhiniformes

Scyliorhinidae

1

263.2

263.2

Sepia officinalis

Linnaeus, 1758

cuttlefish

141444

Cephalopoda

Sepiida

Sepiidae

64

3.2

1295.0

Solea solea

(Linnaeus, 1758)

sole

127160

Actinopterygii

Pleuronectiformes

Soleidae

124

15.1

1267.0

Spondyliosoma cantharus

(Linnaeus, 1758)

black sea bream

127066

Actinopterygii

Perciformes

Sparidae

17

2.7

52.5

Sprattus sprattus

(Linnaeus, 1758)

sprat

126425

Actinopterygii

Clupeiformes

Clupeidae

32

2.4

25.8

Squalus acanthias

Linnaeus, 1758

spurdog

105923

Elasmobranchii

Squaliformes

Squalidae

12

341.0

4730.0

Syngnathus acus

Linnaeus, 1758

greater pipefish

127387

Actinopterygii

Syngnathiformes

Syngnathidae

11

1.6

42.6

Taurulus bubalis

(Euphrasen, 1786)

sea scorpion

127204

Actinopterygii

Scorpaeniformes

Cottidae

2

11.8

29.4

Trachinus draco

Linnaeus, 1758

greater weever

127082

Actinopterygii

Perciformes

Trachinidae

23

39.1

412.0

Trachurus trachurus

(Linnaeus, 1758)

scad

126822

Actinopterygii

Perciformes

Carangidae

139

1.0

610.0

Trigloporus lastoviza

(Bonnaterre, 1788)

streaked gurnard

154462

Actinopterygii

Scorpaeniformes

Triglidae

36

30.4

452.0

Trisopterus esmarkii

(Nilsson, 1855)

Norway pout

126444

Actinopterygii

Gadiformes

Gadidae

232

2.2

135.3

Trisopterus luscus

(Linnaeus, 1758)

pout

126445

Actinopterygii

Gadiformes

Gadidae

59

4.3

693.0

Trisopterus minutus

(Linnaeus, 1758)

poor cod

126446

Actinopterygii

Gadiformes

Gadidae

114

3.3

161.8

Zeus faber

Linnaeus, 1758

john dory

127427

Actinopterygii

Zeiformes

Zeidae

60

2.0

2169.0

 

Fig1

Fig. 1. Summary of the ranges of species and body sizes for which δ15N data are available. Data presented are for all sampling years and areas combined. Vertical blue bars indicate mean δ15N by species. Points are ‘jittered’ (i.e., offset) to increase visibility. Taxonomy follows Table 2.


 

Fig2

Fig. 2. Summary of the ranges of species and body sizes for which δ13C data are available. Data presented are for all sampling years and areas combined. Vertical blue bars indicate mean δ13N by species. Points are ‘jittered’ to increase visibility. Taxonomy follows Table 2.



Class V. Supplemental descriptors

A. Data acquisition

In the northern North Sea fishes were caught at 21 stations in an area from 57.5° N - 61.5° N and 1° W - 4° E The stations were fished every year from 2002 to 2006 with a Grande Ouverture Verticale (GOV) bottom fished otter trawl net fitted with a 20-mm cod-end liner and towed for approximately 30 minutes at approximately 4 knots. The area was sampled in August and/ or September during the North Sea English Bottom Trawl Survey (2002: 25 Aug to 4 Sept; 2003: 22 Aug to 2 Sept; 2004: 22 Aug to 30 Aug; 2005: 16 Sept to 22 Sept; 2006: 25 Aug to 8 Sept). In the data set, all fishing positions are assigned to the latitude and longitude at the center of the sampled area and to the midpoint date of the sampling period in each year.

For each of 15 fish species shown to have the highest rank biomass in North Sea English Bottom Trawl Survey data from the sampling area in 2000 and 2001, the sampling aim for each of the years 2002 to 2006 was to collect up to 4 individuals from each of 10–13 length classes spanning the range of total body lengths caught in 2000 and 2001. Length class intervals ranged from 1 cm for the smallest species to 7 cm for the largest. The total weight of each individual assigned to a length class was recorded to the nearest 0.1 g wet mass (after “blotting” to remove surface water), or to 1g for larger fishes (typically >1 kg). One to five cm3 of white muscle tissue was dissected from the dorsal musculature of each individual and immediately frozen to < –20°C and stored frozen until the next step of processing (freeze drying), a procedure that has no effect on the nitrogen stable isotope composition of fish tissue (Sweeting et al. 2004).

In areas other than the northern North Sea (south and central North Sea, Channel, Irish Sea, and Celtic Sea) fishes and squids were caught with GOV otter trawl or 4-m beam trawl in 2010. The GOV and 4 m beam trawls were towed for approximately 30 minutes at a speed of approximately 4 knots. For these data, all positions were assigned to the latitude and longitude where the net was shot.

The sampling aim for 2010 was to catch up to six individuals from each of 7 to 12 length classes spanning body length ranges of fishes and squid recorded in previous surveys in each sea area (south and central North Sea, Channel (stratified by 4 sub-areas), Irish Sea (3 sub-areas) and Celtic Sea (2 subareas)). Classes ranged from 2 cm for the smallest species to 10 cm for the largest. The total weight of each individual assigned to a length class was recorded to the nearest 0.1 g wet blotted weight for smaller fishes, or to 1g for most fishes >1 kg. Up to two cm3 of white muscle tissue was dissected from the dorsal musculature of each individual fish, or from the mantle for each individual squid, and immediately frozen and then stored at –20° C until it could be freeze-dried.

In the laboratory, frozen fish and squid tissue was freeze dried to constant mass and ground with pestle and mortar to fine homogeneous powder. All equipment was cleaned after processing each individual sample and the powdered material was transferred to a new glass vial. The nitrogen and carbon stable isotopic composition of the powdered samples was determined using a Europa Scientific 20-20 IRMS with a Europa Scientific Roboprep-CN preparation module by Iso-Analytical Ltd (Crewe, UK). Two reference samples were analysed after every four to six samples of fish tissue. The reference materials used during analysis of all samples were Iso-Analytical Standards IA-R014 (powdered bovine liver), IA-R005 (beet sugar) and IA-R045 and IA-R046 (ammonium sulphate) (see B. Quality assurance/ quality control procedures). Twenty percent of fish and squid samples were processed in duplicate for quality control. The 15N and 13C composition of tissue samples was expressed in conventional delta notation (δ15N and δ13C), relative to the abundance of 15N in atmospheric N2 and 13C in Pee Dee Belemnite. Experimental precision, measured as the standard deviation in δ15N or δ13C for replicates of reference material, was < 0.1‰ for both isotopes in all batches of samples. Within batches of samples, the standard deviation of the distribution of differences in δ15N or δ13C between the two samples in each duplicated pair tended to be slightly higher than the standard deviation of δ15N or δ13C for replicates of reference material (< 0.25‰ for either isotope in any batch), but the 95th percentile of the overall distribution of absolute differences in δ15N or δ13C between the two samples in each duplicated pair (i.e., for all 1107 samples processed in duplicate) was 0.17 ‰ for δ15N and 0.21 for δ13C.

13C analysis was conducted without lipid extraction. Previous work has shown that δ13C data for fish can be corrected for differences lipid content using C:N ratio data (Fry et al. 2003) and that the results are consistent with those obtained for fish tissue following chemical lipid extraction (Sweeting et al. 2006). The δ13C data included in the published data set are not corrected for differences in lipid content, but the percentage C and N data that are included can be used to make the correction if required. Logan et al. (2008) provide further information on methods of lipid correction and their performance.

B. Quality assurance/quality control procedures:

All documentation, tracking of samples and entry of data was independently reviewed by at least one other scientist and all projects supporting the collection and processing of samples followed the Joint Code of Practice for Research (JCoPR) of the U.K. Department of Environment, Food and Rural Affairs and the U.K. Research Councils. Independent review involved line by line checking of the reference code used to track the sample from capture through processing and isotope analysis against (1) the record of species identity, size and capture location from the cruise, (2) the record of labelling and processing and (3) the record that included the results of the stable isotope data. The standards used by Iso-Analytical are calibrated against and traceable to inter-laboratory comparison standards distributed by the International Atomic Energy Agency (IAEA). IA-R042 (which comprises a mixture of IA-R005 and IA-R045) is calibrated against and traceable to IAEA-CH-6 and IAEA-N-1. IA-R005 is calibrated against and traceable to IAEA-CH-6. IA-R045 and IA-R046 are calibrated against and traceable to IAEA-N-1.

C. Related material: None.

D. Computer programs and data processing algorithms: None.

E. Archiving: The data file and the results of individual analyses with associated Quality Assurance and Quality Control data are stored on the network at the Centre for Environment, Fisheries and Aquaculture Science, Lowestoft, United Kingdom.

F. Literature Cited:

Fry, B., D. M. Baltz, M. C. Benfield, J. W. Fleeger, A. Gace, H. L. Haas, and Z. J. Quiñones-Rivera. 2003. Stable isotope indicators of movement and residency for brown shrimp (Farfantepenaeus aztecus) in coastal Louisiana marshscapes. Estuaries 26:82–97.

Logan, J. M., T. D. Jardine, T. J. Miller, S. E. Bunn, R. A. Cunjak, and M. E. Lutcavage. 2008. Lipid corrections in carbon and nitrogen stable isotope analyses: comparison of chemical extraction and modelling methods. Journal of Animal Ecology 77:838–846.

Sweeting, C. J., N. V. C. Polunin, and S. Jennings. 2004. Tissue and fixative dependent shifts of δ13C and δ15N in preserved ecological material. Rapid Communications in Mass Spectrometry 18:2587–2592.

Sweeting C.J., N. V. C. Polunin, and S. Jennings. 2006. Effects of chemical lipid extraction and arithmetic lipid correction on stable isotope ratios of fish tissues. Rapid Communications in Mass Spectrometry 20: 595–601.

G. History of data set usage:

Data included in this data set have been used in the analyses reported by:

Jennings, S., C. Barnes, and N. V. C. Polunin. 2008. Application of nitrogen stable isotope analysis in size-based marine food web and macroecological research. Rapid Communications in Mass Spectrometry 22:1673–1680.

Jennings, S., J. A. A. D'Oliveira, and K. J. Warr. 2007. Measurement of body size and abundance in tests of macroecological and food web theory. Journal of Animal Ecology 76:72–82.

Jennings, S., T. D. Maxwell, M. Schratzberger, and S. P. Milligan. 2008. Body-size dependent temporal variations in nitrogen stable isotope ratios in food webs. Marine Ecology Progress Series 370:199–206.

Jennings, S., R. Van Hal, J. G. Hiddink, and T. A. D. Maxwell. 2008. Fishing effects on energy use by North Sea fishes. Journal of Sea Research 60:74–88.

H. Data set update history:

 Data first compiled in present form 12 November 2014, updated and checked 1 May 2015 for release to Ecological Archives.

 Review history: None

Questions and comments from secondary users: None


Acknowledgments

We thank the U.K. Department of Environment, Food and Rural Affairs for their longstanding support of this research; the many scientists who assisted with at sea sampling, especially Richard Ayers, Mary Brown, Jim Ellis, Freya Goodsir, Sophie McCully and Brian Harley; Peter Davison, Roger Hillier and Jon Santillo for processing samples and Iso-Analytical for conducting the stable isotope analyses. We thank two anonymous referees for their thorough reviews of this data paper.


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