12
BioOne sees sustainable scholarly publishing as an inherently collaborative enterprise connecting authors, nonprofit publishers, academic institutions, research libraries, and research funders in the common goal of maximizing access to critical research. Morphometric Relationships of Marine Fishes Common to Central California and the Southern California Bight Author(s): Chelsea M. Williams, Jonathan P. Williams, Jeremy T. Claisse, Daniel J. PondellaII, Michael L. Domeier, and Laurel A. Zahn Source: Bulletin, Southern California Academy of Sciences, 112(3):217-227. 2013. Published By: Southern California Academy of Sciences DOI: http://dx.doi.org/10.3160/0038-3872-112.3.217 URL: http://www.bioone.org/doi/full/10.3160/0038-3872-112.3.217 BioOne (www.bioone.org ) is a nonprofit, online aggregation of core research in the biological, ecological, and environmental sciences. BioOne provides a sustainable online platform for over 170 journals and books published by nonprofit societies, associations, museums, institutions, and presses. Your use of this PDF, the BioOne Web site, and all posted and associated content indicates your acceptance of BioOne’s Terms of Use, available at www.bioone.org/ page/terms_of_use . Usage of BioOne content is strictly limited to personal, educational, and non- commercial use. Commercial inquiries or rights and permissions requests should be directed to the individual publisher as copyright holder.

Morphometric Relationships of Marine Fishes Common to Central California and the Southern California Bight

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BioOne sees sustainable scholarly publishing as an inherently collaborative enterprise connecting authors, nonprofitpublishers, academic institutions, research libraries, and research funders in the common goal of maximizing access tocritical research.

Morphometric Relationships of Marine Fishes Common toCentral California and the Southern California BightAuthor(s): Chelsea M. Williams, Jonathan P. Williams, Jeremy T. Claisse,Daniel J. PondellaII, Michael L. Domeier, and Laurel A. ZahnSource: Bulletin, Southern California Academy of Sciences, 112(3):217-227.2013.Published By: Southern California Academy of SciencesDOI: http://dx.doi.org/10.3160/0038-3872-112.3.217URL: http://www.bioone.org/doi/full/10.3160/0038-3872-112.3.217

BioOne (www.bioone.org) is a nonprofit, online aggregation of core research in thebiological, ecological, and environmental sciences. BioOne provides a sustainableonline platform for over 170 journals and books published by nonprofit societies,associations, museums, institutions, and presses.

Your use of this PDF, the BioOne Web site, and all posted and associated contentindicates your acceptance of BioOne’s Terms of Use, available at www.bioone.org/page/terms_of_use.

Usage of BioOne content is strictly limited to personal, educational, and non-commercial use. Commercial inquiries or rights and permissions requests should bedirected to the individual publisher as copyright holder.

Morphometric Relationships of Marine Fishes Common toCentral California and the Southern California Bight

Chelsea M. Williams,1* Jonathan P. Williams,1 Jeremy T. Claisse,1

Daniel J. Pondella II.,1 Michael L. Domeier,2,3 and Laurel A. Zahn1

1Vantuna Research Group, Department of Biology, Occidental College, 1600 Campus

Road, Los Angeles, CA 90041, USA2California Department of Fish and Wildlife, 1416 9th Street, 12th Floor, Sacramento,

CA 95814, USA3(Current affiliation) Marine Conservation Science Institute, 68-1825 Lina Poepoe

Street, Waikoloa, HI 96738, USA

Length-weight relationships have several applications in fish stock assessments and

ecological studies (e.g., Ricker 1975, Newman et al. 2006). Particularly, they are

important for visual surveys of fish populations where the estimated total lengths are

converted to weights to estimate fish biomass (e.g., Hamilton et al. 2010, Sala et al. 2012).

The available information on length-weight relationships and length-length conversions

for marine fishes in California are mostly limited to commercial catch (RecFIN 2009) or

the occasional ecological survey (Miller et al. 2008), and a recent compilation of these

parameters (Cailliet et al. 2000) demonstrated many species are lacking this basic

information. Fishes used in this study were collected in various large- and small-scale

projects by the Vantuna Research Group, Occidental College and California State

University Northridge from 1984 to 2012. These included state-mandated programs

dedicated to assessing the biological and economic impacts of its stocking efforts

(ORHEP) and localized fisheries surveys (San Diego and Morro Bay) where a variety of

species were caught. Measurements of lengths and weights provide the opportunity to

generate information on morphometric relationships that will be useful to other

researchers. Here we provide standard length (SL) to total length (TL) conversions

(Table 1) for 32 near-shore marine fish species (Class Actinopterygii) and length-weight

equation parameters (Table 2) for 71 near-shore marine fish species (57 from Class

Actinopterygii and 14 from Subclass Elasmobranchii), common to central and southern

California (Miller and Lea 1972).

Fishes were collected by several methods. (White Seabass Gill Net Survey) Collections

using monofilament gill nets were made at 19 stations dispersed throughout the Southern

California Bight from 1995–2005 in shallow (5–14 m) depths at the edge of rocky reefs as

part of the Nearshore Gill Net Sampling Program for White Seabass (Age I-IV). For

detailed methods see Pondella and Allen (2000). (San Diego Bay Fisheries Inventory and

Utilization Surveys) Fish assemblages in San Diego Bay were assessed using a variety of

methods (large seine, small seine, square enclosure, purse seine, beam trawl and otter

trawl) (Allen et al. 2002). The bay is divided into four unique ecoregions that were

sampled in April and July of 2005, 2008 and 2012, and by purse seine and square

enclosure only in June 2009. (Morro Bay Fish Survey) Fish populations were surveyed in

Morro Bay using methods similar to the San Diego Bay Fisheries Inventory and

* Corresponding author: [email protected]

Bull. Southern California Acad. Sci.112(3), 2013, pp. 217–227

E Southern California Academy of Sciences, 2013

217

Table 1. Standard length (SL; in mm) to total length (TL; in mm) conversion parameters (see main text

for equation description), sample size (N) and length characteristics of the sampled population for 32 fish

species (Class Actinopterygii) common to southern and central California.

length characteristics parameters of the relationship

Scientific Name Survey N

Min.

(mm)

Max.

(mm) a b R2

Clupeiformes

Engraulidae - anchovies

Anchoa compressa (Girard, 1858) b 63 45 114 7.22 1.16 0.95

Anchoa delicatissima (Girard, 1854) b 633 19 67 2.42 1.16 0.91

Aulopiformes

Synodontidae - lizardfishes

Synodus lucioceps (Ayers, 1955) abc 20 68 193 21.66 1.15 0.99

Batrachoidiformes

Batrachoididae - toadfishes

Porichthys myriaster Hubbs & Schultz, 1939 ab 23 16 327 20.44 1.16 0.99

Atheriniformes

Atherinopsidae - New World silversides

Atherinops affinis (Ayers, 1860) abc 1745 11 193 20.02 1.19 . 0.99

Atherinopsis californiensis (Girard, 1854) abc 11 31 282 22.33 1.22 . 0.99

Leuresthes tenuis (Ayers, 1860) bc 16 62 166 1.36 1.15 0.99

Beloniformes

Hemiramphidae - halfbeaks

Hyporhamphus rosae (Jordan & Gilbert, 1880) b 14 24 127 20.17 1.13 0.99

Belonidae - needlefishes

Strongylura exilis (Girard, 1854) ab 3 51 337 1.22 1.08 . 0.99

Cyprinodontiformes

Fundulidae - topminnows

Fundulus parvipinnis Girard, 1854 bc 195 14 78 1.91 1.11 0.99

Gasterosteiformes

Syngnathidae - pipefishes

Syngnathus leptorhynchus Girard, 1854 bc 799 33 248 1.20 1.02 . 0.99

Scorpaeniformes

Scorpaenidae - scorpionfishes

Scorpaena guttata Girard, 1854 abd 3 85 230 1.15 1.23 . 0.99

Cottidae - sculpins

Leptocottus armatus Girard, 1854 abc 763 11 119 0.63 1.16 0.99

Perciformes

Polyprionidae – wreckfishes

Stereolepis gigas Ayers, 1859 ag 35 336 1450 210.87 1.21 0.99

Serranidae – sea basses

Paralabrax clathratus (Girard, 1854) abcd 76 19 165 1.31 1.19 0.99

Paralabrax maculatofasciatus

(Steindachner, 1868) abd 348 32 306 1.71 1.22 0.99

Paralabrax nebulifer (Girard, 1854) abd 154 43 180 4.77 1.15 0.98

Haemulidae - grunts

Anisotremus davidsonii (Steindachner, 1876) abde 623 20 328 5.78 1.23 0.99

Sciaenidae – drums and croakers

Atractoscion nobilis (Ayers, 1860) abf 6513 71 1220 11.29 1.15 0.99

218 SOUTHERN CALIFORNIA ACADEMY OF SCIENCES

Utilization Surveys in April, August and November of 2005–2007 and in May of 2008.

(Cryptic reef fish collections from King Harbor, Redondo Beach and Agua Hedionda, San

Diego) Collections of cryptic benthic fishes in King Harbor, Redondo Beach have been

made periodically (1–12 times per year) since 1984 by divers using anesthetic and air lifts

(Stephens et al. 1994). A similar collection was made from Agua Hedionda Lagoon in

2005. (Heat Treat and Impingement Surveys) Samples were also collected during heat

treatments in 2005 at Encina Generating Station, Cabrillo Power Plant, and Huntington

Beach Generating Station. For detailed methods see Pondella et al. (2008). Some white

seabass (Atractoscion nobilis) specimens were also collected opportunistically by hook

and line or spear. Additionally, data for giant sea bass (Stereolepis gigas) collected by

hook and line was included (Michael Domeier, pers. comm.). While fishes caught during

some of these studies were batch weighed by species, all individuals used here were

measured individually: TL and/or SL or disc width (DW) were typically recorded to the

nearest millimeter (mm) or occasionally centimeter (cm) and weight was recorded to the

length characteristics parameters of the relationship

Scientific Name Survey N

Min.

(mm)

Max.

(mm) a b R2

Cheilotrema saturnum (Girard, 1858) ab 6 35 178 1.40 1.19 . 0.99

Roncador stearnsii (Steindachner, 1876) abe 493 138 542 11.85 1.20 0.99

Embiotocidae – sea perches

Cymatogaster aggregata Gibbons, 1854 abc 828 26 112 1.83 1.24 0.98

Micrometrus minimus (Gibbons, 1854) abc 43 21 113 3.35 1.19 0.99

Blenniidae – combtooth blennies

Hypsoblennius gentilis (Girard, 1854) bcd 20 44 109 3.99 1.15 0.99

Clinidae – kelp blennies

Gibbonsia elegans (Cooper, 1864) bd 10 23 106 20.37 1.15 . 0.99

Heterostichus rostratus Girard, 1854 abcd 329 23 315 1.23 1.13 . 0.99

Gobiidae - gobies

Clevelandia ios (Jordan & Gilbert, 1882) bc 310 10 56 0.37 1.16 0.99

Quietula y-cauda (Jenkins & Evermann,

1889) bc 64 22 64 1.17 1.16 0.97

Pleuronectiformes

Paralichthyidae – sand flounders

Citharichthys stigmaeus Jordan &

Gilbert, 1882 abc 263 22 101 0.65 1.17 0.99

Paralichthys californicus (Ayers, 1859) abc 62 57 430 8.26 1.16 0.98

Pleuronectidae – right-eyed flounders

Pleuronicthys guttulatus Girard, 1854 abc 48 17 204 2.31 1.21 . 0.99

Pleuronichthys ritteri Starks & Morris, 1907 abd 24 78 156 0.17 1.25 0.97

Cynoglossidae - tonguefishes

Symphurus atricaudus (Jordan & Gilbert,

1880) ab 18 64 138 20.88 1.08 . 0.99

a, White Seabass Gill Net Survey; b, San Diego Bay Fisheries Inventory and Utilization Survey; c,

Morro Bay Fish Survey; d, Cryptic reef fish collections from King Harbor and Agua Hedionda; e, Heat

Treatments from Encina Generating Station, Cabrillo Power Plant, and Huntington Beach Generation

Station; f,Opportunistic non-scientific hook and line and spear catches; g, Data provided by Michael

Domeier

Table 1. Continued.

MORPHOMETRIC RELATIONSHIPS OF CAIFORNIA MARINE FISHES 219

Tab

le2

.L

eng

tha

nd

wei

gh

tp

ara

met

ers,

sam

ple

size

(N),

inp

ut

len

gth

typ

e,a

nd

len

gth

cha

ract

eris

tics

of

the

sam

ple

for

14

cart

ilag

ino

us

fish

spec

ies

(Su

bcl

ass

Ela

smo

bra

nch

ii)

an

d57

ray-f

inn

edfi

shsp

ecie

s(C

lass

Act

ino

pte

rygii

)co

mm

on

toso

uth

ern

an

dce

ntr

al

Cali

forn

ia.

length

chara

cter

isti

cspara

met

ers

of

the

rela

tionsh

ip

Sci

enti

fic

Na

me

Su

rvey

NT

yp

eM

in.

(m

m)

Ma

x.

(m

m)

ab

R2

Het

ero

do

nti

form

es

Het

ero

do

nti

da

e-

bu

llh

ead

shark

s

Het

ero

do

ntu

sfr

an

cisc

i(G

irard

,1

85

5)

ab

65

1T

L1

70

87

01

.18

E-0

52

.94

0.9

8

La

mn

ifo

rmes

Alo

pii

da

e-

thre

sher

shark

s

Alo

pia

svu

lpin

us

(Bo

nn

ate

rre,

17

88)

a1

6T

L8

70

25

60

3.1

1E

-04

2.3

60

.90

Ca

rch

arh

inif

orm

es

Scy

lio

rhin

ida

e-

cat

shark

s

Cep

ha

losc

yll

ium

ven

trio

sum

(Ga

rma

n,

18

80)

a3

07

TL

33

59

50

3.0

0E

-06

3.1

30

.92

Tri

ak

ida

e-

ho

un

dsh

ark

s

Gale

orh

inus

gale

us

(Lin

na

eus,

17

58)

a1

02

TL

25

01

90

07

.78

E-0

62

.93

0.9

5

Mu

stel

us

cali

forn

icu

sG

ill,

18

64

ab

44

1T

L3

45

12

00

7.2

7E

-07

3.2

20

.95

Mu

stel

us

hen

lei

(Gil

l,1

86

3)

a3

87

TL

34

01

10

08

.07

E-0

73

.21

0.9

5

Tri

ak

isse

mif

asc

iata

Gir

ard

,1

85

5a

73

6T

L1

60

15

45

5.9

5E

-06

2.9

50

.97

Hex

an

chif

orm

es

Hex

an

chid

ae

-co

wsh

ark

s

No

tory

nch

us

cep

edia

nu

s(B

on

na

terr

e,1

78

8)

a3

0T

L1

18

51

90

08

.61

E-0

73

.22

0.8

8

Sq

ua

lifo

rmes

Sq

ua

lid

ae

-d

og

fish

shark

s

Squ

alu

sa

can

thia

sL

inn

aeu

s,1

75

8a

19

1T

L3

20

12

00

8.2

9E

-08

3.5

70

.94

Sq

uati

nif

orm

es

Sq

ua

tin

ida

e-

an

gel

shark

s

Squati

na

cali

forn

ica

Ay

ers,

18

59

ab

20

6T

L3

20

12

00

7.8

1E

-06

3.0

20

.94

220 SOUTHERN CALIFORNIA ACADEMY OF SCIENCES

length

chara

cter

isti

cspara

met

ers

of

the

rela

tionsh

ip

Sci

enti

fic

Na

me

Su

rvey

NT

yp

eM

in.

(m

m)

Ma

x.

(m

m)

ab

R2

Ra

jifo

rmes

Rh

ino

bati

da

e–

gu

ita

rfis

hes

Rh

ino

ba

tos

pro

du

ctus

Ay

res,

18

54

ab

11

1T

L2

25

13

40

3.4

3E

-06

3.0

10

.95

My

lio

ba

tifo

rmes

Uro

try

go

nid

ae

-A

mer

ica

nro

un

dst

ingra

ys

Uro

ba

tis

ha

ller

i(C

oo

per

,1

86

3)

ab

c5

56

DW

74

27

55

.73

E-0

53

.02

0.9

6

Gy

mn

uri

da

e-

bu

tter

fly

ray

s

Gy

mn

ura

ma

rmo

rata

(Co

op

er,

18

64)

ab

26

DW

25

01

01

02

.74

E-0

63

.20

0.9

8

My

lio

bati

da

e-

eagle

ray

sa

nd

ma

nta

s

My

lio

ba

tis

cali

forn

ica

Gil

l,1

86

5a

bc

27

0D

W1

80

10

00

2.3

2E

-05

2.9

40

.95

Alb

uli

form

es

Alb

uli

da

e-

bo

nef

ish

es

Alb

ula

gil

ber

tiP

feil

er&

Va

nd

erH

eid

en,

20

11

ab

42

SL

55

36

02

.05

E-0

73

.77

0.9

8

Clu

pei

form

es

En

gra

uli

da

e-

an

cho

vie

s

An

cho

aco

mp

ress

a(G

irard

,1

85

8)

b6

3S

L4

51

14

1.1

1E

-05

3.0

50

.94

An

cho

ad

elic

ati

ssim

a(G

ira

rd,

18

54)

b6

37

SL

19

67

7.5

5E

-06

3.0

90

.90

Clu

pei

da

e-

her

rin

gs

Sard

ino

ps

sag

ax

(Jen

yn

s,1

84

2)

ab

c2

47

SL

75

28

01

.19

E-0

53

.02

0.9

1

Au

lop

ifo

rmes

Sy

no

do

nti

da

e–

liza

rdfi

shes

Syn

od

us

luci

oce

ps

(Ay

res,

18

55)

ab

c8

0S

L6

13

60

2.1

2E

-06

3.2

60

.98

Batr

ach

oid

ifo

rmes

Ba

tra

cho

idid

ae

-to

ad

fish

es

Pori

chth

ys

my

ria

ster

Hu

bb

s&

Sch

ult

z,1

93

9a

b3

28

SL

16

49

01

.38

E-0

52

.98

0.9

9

Pori

chth

ys

no

tatu

sG

irard

,1

85

4a

b7

7S

L2

34

60

2.2

1E

-05

2.9

20

.92

Tab

le2

.C

on

tin

ued

.MORPHOMETRIC RELATIONSHIPS OF CAIFORNIA MARINE FISHES 221

Tab

le2

.C

on

tin

ued

.

length

chara

cter

isti

cspara

met

ers

of

the

rela

tionsh

ip

Sci

enti

fic

Na

me

Surv

eyN

Typ

eM

in.

(m

m)

Ma

x.

(m

m)

ab

R2

Mu

gil

ifo

rmes

Mu

gil

ida

e-

mu

llet

s

Mu

gil

cep

ha

lus

Lin

na

eus,

17

58

ab

c4

0S

L5

35

20

2.9

6E

-05

2.9

30

.99

Ath

erin

ifo

rmes

Ath

erin

op

sid

ae

-N

ewW

orl

dsi

lver

sid

es

Ath

erin

op

sa

ffin

is(A

yer

s,1

86

0)

ab

c1

75

6S

L1

11

93

3.8

3E

-06

3.2

40

.99

Ath

erin

op

sis

cali

forn

ien

sis

(Gir

ard

,1

85

4)

ab

c4

20

SL

31

36

01

.03

E-0

53

.01

0.9

4

Leu

rest

hes

ten

uis

(Ay

ers,

18

60)

bc

17

SL

32

16

68

.25

E-0

73

.52

0.9

8

Bel

on

ifo

rmes

Hem

iram

ph

idae

-h

alf

bea

ks

Hy

po

rha

mp

hu

sro

sae

(Jo

rdan

&G

ilb

ert,

1880)

b18

SL

24

127

6.2

3E

-07

3.3

20.9

4

Bel

on

ida

e-

nee

dle

fish

es

Str

on

gylu

raex

ilis

(Gir

ard

,1

85

4)

ab

10

SL

51

76

01

.36

E-0

73

.39

.0

.99

Cy

pri

no

do

nti

form

es

Fu

nd

uli

da

e-

top

min

no

ws

Fundulu

sparv

ipin

nis

Gir

ard

,1854

bc

198

SL

14

78

1.4

9E

-05

3.0

80.9

9

Ga

ster

ost

eifo

rmes

Sy

ng

na

thid

ae

-p

ipef

ish

es

Sy

ng

na

thu

sle

pto

rhy

nch

us

Gir

ard

,1854

bc

814

SL

33

248

8.4

5E

-08

3.3

50.9

5

Sco

rpaen

ifo

rmes

Sco

rpa

enid

ae

-sc

orp

ion

fish

es

Sco

rpa

ena

gu

tta

taG

irard

,1

85

4a

bd

61

8S

L3

03

05

3.6

6E

-05

2.9

80

.94

Seb

ast

esatr

ovi

rens

(Jo

rdan

&G

ilb

ert,

1880)

a102

SL

125

270

9.4

4E

-06

3.2

20.9

2

Seb

ast

esca

rna

tus

(Jo

rdan

&G

ilb

ert,

1880)

a36

SL

110

240

1.7

2E

-04

2.6

80.9

1

Seb

ast

esra

stre

llig

er(J

ord

an

&G

ilb

ert,

1880)

ab

225

SL

52

350

2.9

3E

-05

3.0

10.9

1

222 SOUTHERN CALIFORNIA ACADEMY OF SCIENCES

Tab

le2

.C

on

tin

ued

.

length

chara

cter

isti

cspara

met

ers

of

the

rela

tionsh

ip

Sci

enti

fic

Na

me

Surv

eyN

Typ

eM

in.

(m

m)

Ma

x.

(m

m)

ab

R2

Hex

agra

mm

ida

e-

gre

enli

ng

s

Ox

yle

biu

sp

ictu

sG

ill,

18

62

ad

17

SL

27

15

01

.52

E-0

53

.11

0.9

8

Co

ttid

ae

-sc

ulp

ins

Art

ediu

sco

rall

inus

(Hu

bb

s,1

92

6)

d2

0S

L1

25

93

.19

E-0

52

.88

0.9

9

Lep

toco

ttu

sa

rmatu

sG

irard

,1

85

4a

bc

82

7S

L1

11

90

2.3

2E

-05

2.9

80

.99

Ru

sca

riu

scr

ease

ri(H

ub

bs,

19

26)

d1

74

SL

10

44

1.4

9E

-05

3.1

70

.99

Sco

rpa

enic

hth

ys

ma

rmo

ratu

s(A

yre

s,1

85

4)

ad

13

6S

L4

43

90

2.0

6E

-05

3.0

60

.95

Per

cifo

rmes

Po

lyp

rio

nid

ae

-w

reck

fish

es

Ste

reole

pis

gig

as

Ay

ers,

18

59

ag

96

SL

12

52

00

31

.07

E-0

42

.80

0.9

9

Ser

ran

ida

e-

sea

ba

sses

Pa

rala

bra

xcl

ath

ratu

s(G

irard

,1

85

4)

ab

cd6

36

SL

19

57

52

.09

E-0

53

.01

0.9

8

Pa

rala

bra

xm

acu

lato

fasc

iatu

s

(Ste

ind

ach

ner

,1

86

8)

ab

d4

30

SL

32

35

02

.16

E-0

53

.03

0.9

9

Pa

rala

bra

xn

ebu

life

r(G

irard

,1

85

4)

ab

d6

35

SL

27

41

02

.89

E-0

52

.95

0.9

9

Ha

emu

lid

ae

-g

run

ts

Anis

otr

emus

davi

dso

nii

(Ste

ind

ach

ner

,1

87

6)

ab

de

75

0S

L2

03

30

1.6

4E

-05

3.1

30

.98

Sci

aen

ida

e-

dru

ms

an

dcr

oa

ker

s

Atr

act

osc

ion

no

bil

is(A

yre

s,1

86

0)

ab

f6

54

8S

L7

11

22

02

.97

E-0

52

.87

0.9

6

Chei

lotr

ema

satu

rnum

(Gir

ard

,1

85

8)

ab

34

4S

L3

53

65

3.8

3E

-05

2.9

10

.92

Cy

no

scio

np

arv

ipin

nis

Ay

res,

18

61

b1

0S

L1

79

46

56

.52

E-0

52

.74

0.9

9

Men

tici

rrhus

undula

tus

(Gir

ard

,1

85

4)

ab

43

2S

L1

65

52

02

.58

E-0

52

.91

0.9

4

Ro

nca

dor

stea

rnsi

i(S

tein

da

chn

er,

18

76

)a

be

57

7S

L1

38

54

23

.96

E-0

52

.91

0.9

6

Ky

ph

osi

da

e-

sea

chu

bs

Her

mosi

lla

azu

rea

Jen

kin

s&

Ever

ma

nn

,1

88

9a

53

SL

16

53

10

1.1

4E

-05

3.2

10

.85

MORPHOMETRIC RELATIONSHIPS OF CAIFORNIA MARINE FISHES 223

Tab

le2

.C

on

tin

ued

.

len

gth

chara

cter

isti

csp

ara

met

ers

of

the

rela

tio

nsh

ip

Sci

enti

fic

Nam

eS

urv

eyN

Typ

eM

in.

(m

m)

Max

.(m

m)

ab

R2

Em

bio

toci

da

e-

surf

per

ches

Cy

ma

tog

ast

era

gg

reg

ata

Gib

bo

ns,

18

54

ab

c8

79

SL

26

14

02

.08

E-0

53

.07

0.9

7

Mic

rom

etru

sm

inim

us

(Gib

bo

ns,

18

54

)a

bc

88

SL

21

13

52

.91

E-0

53

.02

0.9

6

Po

ma

cen

trid

ae

–d

am

self

ish

es

Ch

rom

isp

un

ctip

inn

is(C

oo

per

,1

86

3)

ad

14

8S

L2

42

10

2.6

9E

-05

3.0

20

.98

Hy

psy

po

ps

rub

icu

ndu

s(G

irard

,1

85

4)

a1

39

SL

90

22

03

.07

E-0

53

.11

0.8

8

La

bri

da

e-

wra

sses

an

dp

arr

otf

ish

es

Sem

icoss

yphus

pulc

her

(Ay

res,

18

54)

a1

94

SL

45

45

58

.45

E-0

52

.80

0.9

2

Ble

nn

iid

ae

-co

mb

too

thb

len

nie

s

Hy

pso

ble

nn

ius

gen

tili

s(G

irard

,1

85

4)

bcd

30

SL

34

10

91

.58

E-0

53

.10

0.9

5

Hy

pso

ble

nn

ius

jen

kin

si(J

ord

an

&E

ver

ma

nn

,

18

96)

d7

3S

L1

38

08

.64

E-0

63

.20

0.9

8

Cli

nid

ae

-k

elp

ble

nn

ies

Gib

bo

nsi

ael

ega

ns

(Co

op

er,

18

64)

bd

11

5S

L1

61

07

4.8

0E

-06

3.2

40

.99

Het

erost

ichus

rost

ratu

sG

irard

,1

85

4a

bcd

52

1S

L2

34

00

3.9

7E

-06

3.1

70

.99

Lab

riso

mid

ae

-la

bri

som

idb

len

nie

s

Para

clin

us

inte

gri

pin

nis

(Sm

ith

,1

88

0)

bcd

48

9S

L9

58

1.1

1E

-05

3.1

00

.98

Go

bie

soci

da

e-

clin

gfi

shes

Go

bie

sox

rhes

sod

on

Sm

ith

,1

88

1d

42

SL

72

52

.11

E-0

53

.04

0.9

6

Go

bii

dae

-go

bie

s

Cle

vela

ndia

ios

(Jo

rdan

&G

ilb

ert,

1882)

bc

329

SL

65

62.5

5E

-06

3.4

20.9

5

Qu

ietu

lay

-ca

ud

a(J

enk

ins

&E

ver

ma

nn

,1

88

9)

bc

64

SL

22

64

1.2

2E

-05

3.0

50

.95

Rh

ino

go

bio

ps

nic

ho

lsii

(Bea

n,

18

82)

d5

8S

L2

48

66

.28

E-0

63

.26

0.9

9

Sp

hyra

enid

ae

-b

arr

acu

da

s

Sp

hy

raen

aa

rgen

tea

Gir

ard

,1854

ab

436

SL

300

965

2.4

6E

-05

2.7

60.9

4

Sco

mb

rid

ae

-m

ack

erel

s

Sco

mb

erja

po

nic

us

Ho

ttu

yn

,1

78

2a

b2

74

SL

16

03

95

1.9

3E

-05

2.9

30

.92

224 SOUTHERN CALIFORNIA ACADEMY OF SCIENCES

length

chara

cter

isti

cspara

met

ers

of

the

rela

tionsh

ip

Sci

enti

fic

Na

me

Surv

eyN

Typ

eM

in.

(m

m)

Ma

x.

(m

m)

ab

R2

Ple

uro

nec

tifo

rmes

Pa

rali

chth

yid

ae

-sa

nd

flo

un

der

s

Cit

ha

rich

thy

sst

igm

aeu

sJo

rdan

&G

ilb

ert,

1882

ab

c285

SL

22

135

8.3

3E

-06

3.2

00.9

8

Para

lich

thys

cali

forn

icus

(Ay

ers,

18

59)

ab

c6

23

SL

57

81

02

.55

E-0

52

.91

0.9

5

Xy

stre

ury

sli

ole

pis

Jord

an

&G

ilb

ert,

1880

ab

36

SL

105

400

3.0

7E

-06

3.3

60.9

4

Ple

uro

nec

tid

ae

-ri

gh

t-ey

efl

ou

nd

ers

Ple

uro

nic

thy

sg

utt

ula

tus

Gir

ard

,1856

ab

c118

SL

17

340

5.8

0E

-05

2.8

50.9

9

Ple

uro

nic

hth

ys

ritt

eri

Sta

rks

&M

orr

is,

19

07

ab

d1

07

SL

17

23

02

.95

E-0

52

.98

0.9

6

Cy

no

glo

ssid

ae

-to

ng

uef

ish

es

Sy

mp

hu

rus

atr

ica

ud

us

(Jo

rdan

&G

ilb

ert,

1880)

ab

32

SL

34

185

1.0

7E

-05

3.0

00.9

4

a,

Wh

ite

Sea

bass

Gil

lN

etS

urv

ey;

b,

San

Die

go

Bay

Fis

her

ies

Inven

tory

an

dU

tili

zati

on

Su

rvey

;c,

Mo

rro

Bay

Fis

hS

urv

ey;

d,

Cry

pti

cre

effi

shco

llec

tio

ns

fro

mK

ing

Ha

rbo

ra

nd

Ag

ua

Hed

ion

da

;e,

Hea

tT

rea

tmen

tsfr

om

En

cin

aG

ener

ati

ng

Sta

tio

n,

Ca

bri

llo

Po

wer

Pla

nt,

an

dH

un

tin

gto

nB

each

Gen

era

tio

nS

tati

on

;f,

Op

po

rtu

nis

tic

no

n-

scie

nti

fic

ho

ok

an

dli

ne

an

dsp

ear

catc

hes

;g

,D

ata

pro

vid

edb

yM

ich

ael

Do

mei

er

Tab

le2

.C

on

tin

ued

.

MORPHOMETRIC RELATIONSHIPS OF CAIFORNIA MARINE FISHES 225

nearest gram (g) either in the field or from frozen specimens that were brought back to

the laboratory.

All statistical analyses were performed using R (R Core Development Team 2012).

Standard length to total length conversion equations were established using linear

regression analyses. Length-length models were fitted to the equation TL 5 a+bSL where

SL is standard length (mm) and TL is total length (mm) (Table 1). Length-weight models

were fitted to the equation W 5 aLb, where W is the wet body weight (g) and L is the total

length (mm) or disc width (mm) (Table 2) by log-transforming both the length and weight

data, performing linear regression analyses. Estimated parameters were then back-

transformed to the original scale for reporting. Obvious outliers were removed prior to

model fitting. While some species had a low sample size (N , 30), we report parameters

here for those where 1) the naturally occurring size range was adequately represented in

the sample, 2) the models fit the data well (Tables 1, 2), and 3) the lack of published

information on the species made the parameter estimates of high value (Froese 2006).

Parameters for some species described here have been previously published (e.g. Miller

et al. 2008, Love 2011). However, there is value in including parameters for all species

that we had sufficient data for where sampling locations differ across studies and/or

larger sample sizes were available, permitting future users of the parameters more options

depending on their intended use.

Acknowledgements

Funding for data collection was provided by the following agencies: California

Department of Fish and Wildlife’s Ocean Resources Enhancement Hatchery Program

(ORHEP), Port of San Diego, San Luis Obispo Science and Ecosystem Alliance

(SLOSEA), and NRG Cabrillo Power Operations Inc.

Literature Cited

Allen, L.G., A.M. Findlay, and C.M. Phalen. 2002. Structure and standing stock of the fish assemblages of

San Diego Bay, California from 1994 to 1999. Bulletin, Southern California Academy of Sciences,

101:48–85.

Cailliet, G.M., E.J. Burton, J.M. Cope, L.A. Kerr, R.N. Lea, D. Van Tresca, and E. Knaggs. 2000.

Biological characteristics of nearshore fishes of California: a review of existing knowledge and

proposed additional studies. Final report and Excel data matrix, Pacific States Marine Fisheries

Commission. Available from the California Department of Fish and Wildlife as an Excel file

(http://www.dfg.ca.gov/mrd/lifehistories/)

Froese, R. 2006. Cube law, condition factor and weight-length relationships: history, meta-analysis and

recommendations. Journal of Applied Ichthyology, 22:241–253.

Hamilton, S.L., J.E. Caselle, D.P. Malone, and M.H. Carr. 2010. Marine reserves special feature:

Incorporating biogeography into evaluations of the Channel Islands marine reserve network.

Proceedings of the National Academy of Sciences, 107:18272–18277.

Love, M.S. 2011. Certainly more than you want to know about the fishes of the Pacific Coast, a

postmodern experience. Really Big Press, Place, Published.

Miller, D.J. and R.N. Lea. 1972. Guide to the coastal marine fishes of California. California Department

of Fish and Game, Fish Bulletin, 157:249 pp.

Miller, E.F., D.S. Beck, and W. Dossett. 2008. Length-weight relationships of select common nearshore

southern California marine fishes. Bulletin, Southern California Academy of Sciences, 107:183–186.

Newman, M.J.H., G.A. Paredes, E. Sala, and J.B.C. Jackson. 2006. Structure of Caribbean coral reef

communities across a large gradient of fish biomass. Ecology Letters, 9:1216–1227.

Pondella, D.J. and L.G. Allen. 2000. The nearshore fish assemblage of Santa Catalina Island. In: Browne,

D.R., Mitchell, K.L., and Chaney, H.W. (eds.). The proceedings of the fifth California Islands

Symposium, Minerals Management Service and Santa Barbara Museum of Natural History, pp.

394–400.

226 SOUTHERN CALIFORNIA ACADEMY OF SCIENCES

———, J.T. Froeschke, L.S. Wetmore, E. Miller, C.F. Valle, and L. Medeiros. 2008. Demographic

parameters of yellowfin croaker, Umbrina roncador (Perciformes: Sciaenidae), from the Southern

California Bight. Pacific Science, 62:555–568.

R Core Development Team. 2012. R: A language and environment for statistical computing. R

Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org.

RecFIN. 2009. Pacific States Marine Recreational FIsheries Monitoring. http://www.recfin.org.

Ricker, W.E. 1975. Computation and interpretation of biological statistics of fish populations. Bulletin of

the Fisheries Research Board of Canada, 191:382.

Sala, E., E. Ballesteros, P. Dendrinos, A. Di Franco, F. Ferretti, D. Foley, S. Fraschetti, A. Friedlander, J.

Garrabou, H. Guclusoy, P. Guidetti, B.S. Halpern, B. Hereu, A.A. Karamanlidis, Z. Kizilkaya, E.

Macpherson, L. Mangialajo, S. Mariani, F. Micheli, A. Pais, K. Riser, A.A. Rosenberg, M. Sales,

K.A. Selkoe, R. Starr, F. Tomas, and M. Zabala. 2012. The structure of Mediterranean rocky reef

ecosystems across environmental and human gradients, and conservation implications. PLoS ONE,

7:e32742.

Stephens, J., P. Morris, D. Pondella, T. Koonce, and G. Jordan. 1994. Overview of the dynamics of an

urban artificial reef fish assemblage at King Harbor, California, USA, 1974–1991: A recruitment

driven system. Bulletin of Marine Science, 55:1224–1239.

MORPHOMETRIC RELATIONSHIPS OF CAIFORNIA MARINE FISHES 227