FISH BIOMASS CONVERSION EQUATIONS

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FISH BIOMASS CONVERSION EQUATIONS KENNETH W. MARKS' and KRISTI D. KLOMP* Fish abundance determined from the AGRRA belt transects has been reported throughout this volume as density estimates (number of individualsl100n1'). Most investigators using the AGRRA protocol have utilized a consistent methodology for censusing fish so that abundance estimates reported as density are especially useful in making regional comparisons of fish abundance. In some instances. however, where individual species within the reported taxa have widely varying morphologies, biomass (weight) may be a more representative measure of fish abundance. Biomass is an important attribute of populations that may be of interest to ecologists and resource managers since it provides insight into the trophic structure of the community and the production capacity of a reef (Bohnsack and Harper, 1988; Anderson and Neumann, 1996). Some of the authors in this volume have chosen to present their fish abundance results as biomass (grams11 00m'). Fish weight was estimated using previously established length-weight relationships for Caribbean fishes (Table 1). Fish weight was calculated using the power function: W = a ~ where ~, W is the weight (grams), L is the length (cm), and a and b are parameters estimated by linear regression of logarithmically transformed length-weight data. The parameters a and b shown in Table 1 were adjusted for unit length from linear regressions performed on fish lengths (mm) reported previously in the literature. Most of the length-weight relationships were determined from southern Florida specimens (Bohnsack and Harper, l988), with exceptions as noted from Bohnsack and Harper (1988), Bullock et al. (1992), Claro and Garcia-Arteaga (1994), and Letourneur et al. (1998). Reef Environmental Education Foundation, 98300 Overseas Highway, Key Largo, FL, 33037. Email: kema@adelphia.net Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA. Email: klompkri@msu.edu

REFERENCES Anderson, KO., and R.M. Neumann 1996. Length, weight, and associated structural indices. Pp. 447-482. In: B.R. Murphy and D.W. Willis (eds.). Fisheries Techniqzres. Second edition. American Fisheries Society. Bethesda, MD. Bohnsack, J.A., and D.E. Harper 1988. Length-weight relationships of selected marine reef fishes from the southeastern Unitcd Statcs and the Caribbean. NOAA Technical Memoir NMFS-SEFC-2 15.3 1 pp. Bullock, E.H., M.D. Murphy, M.F. Godcharles, and 1992. Age, growth, and reproduction of jewfish Epimphelzts itjnra in the eastern Gulf of Mexico. Fisher31 Bzdletin 90:243-249. Claro, R., and J.P. Garcia-Arteaga 1994. Crecimiento. Pp. 321-402. In: R. Claro (ed.). Ecologia de 10s Peces Marinos de Cuba. Instituto de Oceanologia, Academia de Ciencias de Cuba and Centro de Investigaciones Quintana Roo (CIQRO) Mkxico. Eschmeyer, W.N. (editor) 1998. C'nralog of Fishes. Special Publication No. 1 of the Center for Biodiversity Research and Information, California Academy of Science, San Francisco, CA. Volumes 1-3, 2905 pp. Letourneur, Y., M. Kulbicki, and P. Labrosse 1998. Length-weight relationships of fish from coral reefs and lagoons of New Caledonia, southwestern Pacific Ocean: an update. Ncrga, ICLAR 2 1 (4):39-46.

Table 1. Length-weight relationships for the AGRRA fishes. Scientific name Acanthurus bahianus Acanthurus chirurgus Acanthunis coeruleus Aluterus scriptus Anisotre~nusurinamensis Anisotremus virginic~is Balistes vettila Bodianus rtrfus Cantherhines macrocerus Cantherhines pullus Canthidertnis sujla~nen Caranx ruher Cenrropyge argi Cephalopholis cruentata' Cep/~alop/~olisjilva' Chaetodon aculeatus Chaetodon capistrotus Chaetodon ocellatus Chaetodon sedentarius Chaetodon striatus Epinephelus adscensionis Epinephelus guttatus Epinephelus itajara Epinephelus marginatus Epinephelus tnorio Epinephelus striatus Haetnulon album Haetnulon aurolinea/um Haemulon carbonarium Haemulon cl~rysargyreum Haemulon ftavolineatum Haemulon tnacrostomutn Haemulon tnelanurum Haemulon parra Haerntilon plutnieri Hae~nulon sciurus Haetnulon striaturn Holacanthus herrnudensis Holacanthus ciliaris Holacanthus tricolor Lachnolaitntis maritnus Lutjanus analis Lutjanus apodus Common name [ocean Surgeonfish Doctorfish Blue Tang Scrawled Filefish Black Margate Porkfish Queen Triggerfish Spanish Hogfish Whitespotted Filefish Orangespotted Filefish Ocean Triggerfish Bar Jack Cherubfish Graysby Coney Longsnout Butterflyfish Foureye Butterflyfish Spotfin Butterflyfish Reef Butteflyfish Banded Butterflyfish Rock Hind Red Hind Jewfish Dusky Grouper Red Grouper Nassau Grouper White Margate Tomtate Caesar Grunt Smallmouth Grunt French Grunt Spanish Grunt Cottonwick Sailors Choice White Grunt Bluestriped Grunt Striped Grunt Blue Angelfish Queen Angelfish Rock Beauty Hogfish Mutton Snapper Schoolmaster * No data availahlc for species; used Cen/rop~;ye tibiciv as model (4) (was Epinephelus crtrenfafiis) (was E~~it~eplrelusfrrlv~is): * St. Chis data used: 11-16.14. a=o.o175, t ~3.0 (I) * No data available for spccies; used C'llac~/ociort cr~prs/rrr/ti.s as rnodcl I* No data available for species: uscd Ljiirr~~plirtiir gu/ia/m as model * Gulf of Mexico data used: ~ 6 6 a-0.0. i 3 I. 1~3.056 (2) + No data available for specics; uscd!$rt7cphclzr.r.~/rm/u.~ as model

Luqanus cyanoptems Luganus griseus Luqanus jocu Lzr~anus mahogoni Luqanus synagrrs Melichthys niger Microspathodon chrysurus Mycteroperca acutirostrrs Mycteroperca bonaci Mycteroperca interstitialis Mycteroperca microlepis Mycteroperca phenax Mycteroperca tigris Mycteroperca venenosa Ocyurus chrysurus Pomacanthus arcuatus Pomacanthus paru Scarus coelestinus Scarus coeruleus Scarus guaca~naia Scams inserti' Scams sp. Scams taenioplerus Scams trispinosus Scarus vetula Sparisoma atomariu~n Sparisoma aurofrenatum Sparisoma chrysopterum Sparisoma radians Sparisoma rubripinne Sparisoma spp. Spar~soma viride Xanthichthys ringens Cubera Snapper Gray Snapper Dog Snapper Mahogany Srrapper Lane Snapper Black Durgon Yellowtail Damselfish Comb Grouper Black Grouper Yellowmouth Grouper Gag Scamp Tiger Grouper Yellowfin Grouper Yellowtail Snapper Gray Angelfish French Angelfish Midnight Parrotfish Blue Parrotfish Rainbow Parrotfish Striped Parrotfish Unidentified Seam Princess Parrotfish Greenlip Parrotfish Queen Parrotfish Greenblotch Parrotfish Redband Parrotfish Redtail Parrotfish Bucktooth Parrotfish Redfin Parrotfish Unident~fied Sparisoma Stoplight Parrotfish Great Barracuda (~ar~assum Triggerfish - Esc,.(, tr en us and soecies names according to the classification in No data available for species: uscd (~'utr/lx~rh~nes mrcrocertrs as model No data available for species. uscd A~i~c/et.ol~erca honaci as rnodcl No data available for speclus: lmd A[)~to.ryerccr I~ormci as rnodel No data available for speclos, l~sed Myctero~xrca bo~~uc~ as model Cuban data used: ~ 145, a-0.0094, 11-3.12 (3) St ThomasISt. John data used. 11-103, a-0.0069. h-3 13 (1) was S. croicensis) Used Sparisoma viride as model No data available for species: used Scnrrrs coi.le.s/itrirs as model No data available for species; ~ msput.~sottr~~ d vrriclc as model No data available for species; used Sparrsonru olomiirrrrnr as model Used Sparisoma viride as rnodel No data ava~lable for species: used Balrstes wlulo aszdel '(1) = ~ohnsack and Harper (1988); (2) = Bullock et al. (1992); (3) = Claro arrd Garcia-Arteaga (1994); (4) = Letourneur et a1 (1998)

Plate 13A. Reef fishes play many important roles in coral reef community dynamics by their trophic interactions as herbivores and as predators. Schooling acanthurids, as shown here, overwhelm damselfish to raid their gardens. In the AGRRA belt transect method, san~pling biases are minimized by restricting the width of the belt transect and the number of species recorded which help to maintain a relatively consistent search image. (Photo Kenneth W. Marks) Plate 13B. Belt transects are used to estimate the abundance and size (used for biomass estimations) of ecologically andlor commercially significant fishes, such as these black groupers (Mvcteroperca bonaci) which have been overharvested in much of the wider Caribbean. REEF'S Roving diver surveys are used to assess fish species richness and relative abundance and complement the belt transect method. (Photo Robert W. Steneck)

Plate 14.4. One of the main objectives of the AGRIiA approach is to provide a standardized methodology enabling teams working in different areas to collect and compare data on a regional scale. The transect-based benthos protocol is focused on several indicators of the condition of stony corals and the abundance of reef algae and Iliadenla. (Photo Kenneth W. Marks) Plate 14B. Two distinct methods, belt transects as shown here, and REEF roving diving surveys, provide complementary "snapshots" of fishes at AGRRA assessment sites. (Photo Kenneth W. Marks)