Table Of Contentir e nt  », Marine Fisheries 
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t *,  = 
» 
”  ares or 
Monterey Bay Rockfish
Marine  Fisher 
3 Sr 
W. L. Hobart, Editor 
J. A. Strader, Managing Editor 
On the cover: 
Blue  rockfish, 
Sebastes  mystinus, 
is one  of the many 
rockfish  species  in 
Monterey Bay, California. 
Photo by Robert  R.  Lauth. 
Articles  60(3),  1998 
Review  of a Small-scale Pelagic  F. H. V. Hazin, J. R. Zagaglia, M. K. Broadhurst, 
Longline Fishery off Northeastern  Brazil  P. E. P. Travassos,  and T. R. Q. Bezerra 
Bottlenose Dolphins, Tursiops truncatus, 
Removing By-Catch from Prawn-trawl] Codends 
During Fishing in New  South Wales, Australia  M. K. Broadhurst 
Declining Rockfish Lengths in the Monterey 
Bay, California, Recreational  Fishery,  1959-94  Janet E. Mason 
Mortality of Lingcod, Ophiodon elongatus, 
Related to Capture by Hook and Line 
Douglas Albin and Konstantin A. Karpov 
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Review of a Small-scale  Pelagic Longline 
Fishery off Northeastern  Brazil 
F.H. V. HAZIN, J. R. ZAGAGLIA, M. K. BROADHURST,  P. E. P. TRAVASSOS, and T. R.Q. BEZERRA 
Introduction  gan to operate  from Natal (Fig.  1) us-  Argus,  Rio  Turi,  and Soloncy  Moura) 
ing relatively small vessels to target tu-  operating off northeastern  Brazil  from 
The  pelagic  longline  fishery  off  nas and other large pelagic species of  1983 to 1997 (Fig. 1). All vessels used 
northeast Brazil began in 1956 with sev-  fish. This fleet expanded throughout the  similar configurations of Japanese-style 
eral Japanese  longliners  (leased  by a  following  10 years  and by 1997  con-  multifilament longlines  (Shapiro, 1950; 
Brazilian  company)  mainly  targeting  sisted of 10 boats ranging in size from  Suzuki et al., 1977). Each longline con- 
tunas  (Thunnus  spp.).  This  fleet  con-  about  16 to 26 m.  sisted of a multifilament mainline (Fig. 
sisted of 12 boats  in 1959 (Paiva  and  As part of management  regulations  2A) with secondary lines (Fig. 2B) at- 
Le Gall, 1975), and although quite good  governing the present fishery, operators  tached in clusters of 6—7 (termed “bas- 
catches  were  achieved,  fishing opera-  have been required to complete logsheets  kets”) over approx.  360 m.  Styrofoam 
tions were suspended in 1964 owing to  for each  fishing  trip.  Information  re-  bouys, each attached to a 25 m line were 
economic and political reasons. During  quested  include  location  of fishing  tied to the mainline after every  cluster 
1976 and 1977, the fishery experienced  grounds, number of hooks used on the  of hooks (Fig. 2A). The types of hooks 
a brief revival through the leasing of two  longline, time of setting and retrieving  used varied among 3 main brands (de- 
Korean  longliners; however, there was  the gear,  and composition  of catches.  pending on availability) however, rela- 
no significant effort until  1983 when a  In addition, at the end of fishing trips,  tive sizes remained similar throughout 
Brazilian company, “Norte Pesca,” be-  biological  data on  the various  species  the period  examined  (Fig.  2C).  The 
captured have routinely been collected  mean  number of hooks (+ SE) set per 
by researchers. Although some of these  vessel  per day was  975  + 7. Fishing 
The authors are with the Universidade  Federal  data have been used in studies examin-  methods  and operations  were  similar 
Rural de Pernambuco-UFRPE, Departamento de  ing biological aspects of the main spe-  across  the fleet  with  the mainline-set 
Pesca, Laboratorio de Oceanografia Pesqueira, 
Av. Dom Manuel de Medeiros, s/n, Dois Irmaos,  cies, including their relative distribution  begining at about 0200 h and ending at 
Recife-PE, Brazil, CEP: 52.171-900.  and  abundance  (Hazin  et al.,  1990;  dawn. The gear was then left to fish for 
1994a), reproductive biology (Hazin et  about 6 h, before retrieval began at noon 
al.,  1994b),  and feeding habits (Hazin  and ended at dusk. The primary bait was 
ABSTRACT—The annual catches of four  et al., 1994c), no studies have been done  the Brazilian sardine, Sardinella brasi- 
small longliners  operating  off northeast 
Brazil from  1983 to  1997 were  examined  describing  temporal  and spatial  vari-  liensis,  although  some  other  species, 
across different areas and locations. The to-  abilities in composition of catches.  including flying fish, Cypselurus cyan- 
tal catch  comprised tunas  (30%),  sharks  To provide a brief overview  of the  opterus,  and  squid,  Loligo  sp.,  were 
(54%), billfishes  (12%), and other fish spe-  changes in fishing strategy and catches,  occasionally used. 
pcioessi t(i4o%n) .o f Fciasthcihnegs  ssthraotweegdy  laanrdg e ansnpautaila lc oamn-d   including  some  analysis  of relative  Due to different oceanographic  and 
temporal  variabilities  with the dominant  abundance and distribution of the main  biological  conditions  (Paiva  and  Le 
catches alternating among yellowfin tuna,  species, our aims in this paper were to  Gall, 1975; Hazin')  and for the purposes 
Thunnus  albacares;  gray  sharks,  Carcha-  collate yearly catch data from four ves-  of this study, the total area fished (Fig. 
rhinus  spp.;  and blue  shark,  Prionace  sels that have operated  in the fishery  1) was divided into the following three 
glauca.  Catches  of blue and gray sharks 
since  1983  and compare  these  across  subareas for analysis: 
showed a significant interaction among sea- 
mounts, with gray sharks occurring in maxi-  defined areas and locations. 
mum  abundance around those seamounts 
that had relatively deep summits and low-  Material and Methods  ' Hazin, F. H. V.  1993. Fisheries-oceanographi- 
sloping depth profiles. Results are discussed  This study was done using data from  cal study on tunas, billfishes and sharks in the 
in terms of the various factors that may have  southwest equatorial Atlantic Ocean.  D. Sc. The- 
influenced distribution of effort.  the logsheets of four longliners, (A/fa,  sis, Tokyo Univ. Fish., 286 p 
60(3),  1998
Subarea I (north of lat. 5°S and west  (CPUE), defined as the number of fish  this study, these were grouped under the 
of long. 35°W)  contains  several  large  caught per 100 hooks per year (no. of  category  of “gray  sharks,” with the ex- 
seamounts  comprising  the North  Bra-  fish/100 hooks/year). Catch records in-  ception of C. maou, due to its easily iden- 
zilian  Chain  and  is influenced  by the  cluded identification at the species level,  tifiable characteristics. Data for two spe- 
North Brazil Current.  with  the exception  of sharks,  which  cies of mako sharks (/surus oxyrinchus 
Subarea II (north of lat.  5°S and east  were collectively grouped prior to 1986.  and /. paucus) were also combined. 
of long. 35°W)  contains Atol das Rocas,  Most fishermen included catches of in- 
Analysis of Data 
Fernando  de Noronha,  and the Archi-  dividual  species  during  subsequent 
pelago of St. Peter and St. Paul and is  trips, although it wasn’t until  1990 that  To examine temporal and spatial fluc- 
influenced  by the  South  Equatorial  all provided these data. Consequently,  tuations in relative abundance and dis- 
Current.  while the CPUE of total sharks was cal-  tribution throughout the fishery, yearly 
Subarea  III (south  of lat.  5°S)  in-  culated using all hooks set in each year  estimates  of CPUE for groups of spe- 
cludes a deep oceanic area with no sea-  (Table  1), the CPUE of individual  spe-  cies were calculated for each of the three 
mounts or islands and is influenced by  cies of sharks  was  derived  using the  areas.  Further, because significant dif- 
the Brazil Current.  number  of hooks  pooled across  only  ferences were detected in the CPUE of 
those  trips that  included  a complete  sharks between  areas (see Result§ and 
Data  from  the  four  boats  were  tabulation of catches (Table 2). In addi-  Discussion) the yearly CPUE’s of gray 
grouped  together (to  provide  a larger  tion,  because  of difficulties  in distin-  and blue sharks, Prionace glauca, were 
dataset) and total catches were standard-  guishing some of the species of the ge-  calculated  at seven  seamounts  located 
ized to yearly  catch  per unit of effort  nus  Carcharhinus,  for the purposes of  in subareas I and II (Fig. 1, Table 3). In 
deriving these data, longlines were con- 
2N 
sidered  to be in the vicinity of a sea- 
mount  whenever  they  were  located 
Archipelago of St. @  within 5 n.mi. of the 1,000 m isobath. 
Peter and St. Paul 
Subarea  |  Yearly  CPUE  values  for relevant 
groups and species from each area and 
for gray and blue sharks from each sea- 
Subarea II  mount  were analyzed using Cochran’s 
test for homogeneity of variances. Data 
were transformed if necessary and then 
analyzed  in appropriate  one  and two- 
factor analyses of variance, respectively 
Fortaleza @  @ Fernando de  (Underwood,  1981). Significant differ- 
Noronha  ences  detected  in these analyses were 
investigated  using Tukey’s  multiple 
comparisons of means  test. The arith- 
metic  mean  yearly  CPUE’s  used  in 
these analyses are presented with their 
associated standard errors. Total yearly 
CPUE’s  combined  across  all  areas, 
Recife  @  depths, and locations for all groups and 
species that showed  sufficient  catches 
were also calculated and graphed. 
Subarea III  Results and Discussion 
The yearly catch data collected dur- 
ing the period examined  are  provided 
in Tables | and 2. Tunas and sharks, and 
in particular,  yellowfin tuna,  Thunnus 
Salvador 
albacares,  and gray  and blue  sharks 
were the dominant groups, accounting 
for almost 84% of the total catch. 
oe ae  T  There were no significant differences 
42 W  38W   34 W  30 W 
in the arithmetic  mean yearly CPUE’s 
of total tunas and billfishes across  the 
Figure |.—Location of the area fished during the period examined, including the 
approximate position of seamounts: Aracati (A), Dois Irmaos (DI), Fundo (F), Sirus  three subareas examined  (Fig. 3A, B, 
(SI), Pequeno (P), Leste (L), and Sueste (SU).  Table  4). While  differences  were  de- 
Marine Fisheries Review
—_  ,  gies  >on  — oar or—o   e—  —_e—e tal  ee e e 
} 25 m(o 6mm, PA/ PP, multi) 
} 
}|  
360 m (0 6 mm, PA/ PP, multi) 
15m(o45mm 
PA/PP, multi) 
2m (o 1.5mm,  wire) 
Figure  2.—Diagrammatic representation of typical (A) longline configuration; (B) secondary  line: and (C) hooks used by the four 
vessels over the period examined. @ = diameter, mono = monofilament, multi = multifilament, PA = polyamide, PP = polypropylene 
Table 1.—Annual number of hooks used and catches (from 1983 to 1997) for various species and groups 
Tunas  Billfisnes  Other 
fist 
Albacore  Swordfist  Sailfish  White marlir  >  '  ombined 
tected between  mean  CPUE’s of other  der of catches  among  the three subar-  sharks was significantly  greater in sub- 
fish  combined  (Fig.  3C,  Table  4),  eas  (Fig.  3C).  In contrast.  analyses  area! than in subareas II and III (differ- 
Tukey’s tests  showed no definitive  or-  showed  that  the mean  CPUE  of total  ence between meanso f up to 68%) (Fig 
60( 3}, 1998
Table 2.—Annual number of hooks used and catches (from 1986 to 1997) for individual species of sharks. 
Crocodile 
Total no  Biue  Gray  Bigeye thresher  Mako  Ocean whitetip  (Pseudocarcharias  Other 
Year  of hooks  Prionace glauca)  (Carcharhinus spp.)  (Alopias superciliosus)  (/surus  spp.)  (C. maou)  kamoharai)  shark species 
1986  147,237  715  221  2  41  0  w o  286 
1987  338,704  345  973  1  74  41 
1988  399,430  2,503  489  103  26 
1889  274,126  945  934  56  37 
1990  273,700  986  7714  56  19 
1991  101,670  577 
1992  130,912  2 392  8S6=ao     un 
1993  89,222  3 212 
1994  116,964  3 122 
1995  172,100  8 082 
1996  229,888  73  6 231 
1997  74,060  1,455  oo0 0 o 
3D, Table  4). This  increase  in CPUE  Table 3.—The approximate location (midpoint) of seamounts examined, depth at the summit, and area contained 
within 5 n.mi. beyond the 1,000 m isobath.  Seamounts in bold represent those located in subarea I. 
may  be attributed to the significant in- 
crease in catches of gray sharks in sub-  Seamount 
area I and the effects on total catches of  Item  Aracati  Dois Irmaos  Fundo  Sirus  Pequeno  Leste  Sueste 
sharks,  since their mean  CPUE  was 9 
Location (lat.)  3°20'S  3°20'S  3°52'S  4°00'S  3°50'S  3°45'S  4°16'S 
times  lower  in subarea  II and almost  (long.)  37°30'W  36°38'W   35°22'W  35°55' W  34°44'W  33°12'W  33°15'W 
zero  in subarea  III (Fig. 3E, Table 4).  Depth at summit (m)  254  370  214  233  124  176  38 
Although  much  lower,  the catches  of  Area (km*)  4,837  1,110  2,815  5,075  833  952  833 
blue sharks displayed the opposite trend 
and were significantly greater in subar- 
eas IT and III than in subarea I (Fig. 3F,  Table 4.—Summaries of F ratios from analysis of variance to determine effects on CPUE due to different areas 
Table 4).  for total tunas, sharks, billfishes, and other fish combined between 1983 and 1997 and for blue and gray sharks 
between 1987 and 1997. Because 5 and 3 replicate CPUE data were missing from each analysis respectively, we 
Possible  explanations  for the ob-  substituted means of the remaining replicates and reduced the degrees of freedom accordingly. The transforms 
used to stabilize variances (if required) are also listed. ‘significant (P = 0.05); **significant (P = 0.01). 
served anomaly  between  the CPUE of 
gray  and blue sharks  may be the fish-  Source of  Totai  Total  Total  Other fish  Blue  Gray 
variation  df  tunas  billfishes  sharks  combined  df  shark  shark 
ing location  in subarea  I and species- 
specific  variabilities  in habitat  prefer-  In(x+1)  In(x+1)  In(x+1) 
Area  0.37  14.54°°  22.50°°  36.60°* 
ence (Hazin et al., 1990). For example,  Residua! 
unlike subareas II and II, which mainly 
comprise deep ocean,  many of the sets 
in subarea  I were  done  in the vicinity  between means of up to 95%)  at those 
Table 5.—Summaries of F ratios from analysis of vari- 
of seamounts that were relatively shal-  seamounts that had relatively deep sum-  ance to determine effects on yearly CPUE for two 
groups of sharks and different seamounts.  Because 
low over large areas (see Table 3). Be-  mits (e.g. 233-370  m) and were  shal-  10 CPUE data were missing, we substituted means of 
cause previous studies have shown that  low over a large area (i.e. Aracati, Dois  the remaining replicates and reduced the degrees of 
freedom accordingly. The sqrt(x+1) transform was used 
the blue shark  typically  is an oceanic  Irmaos,  Fundo,  and Sirus)  than  those  to stabilize variances. **significant (P = 0.01). 
species, its relative abundance might be  characterized by shallow summits (38- 
Source of variation  df  CPUE 
expected to decline  across  these areas  176 m) and steep depth profiles  (i.e. 
(Strassburg,  1958; Hazin, et al., 1990).  Pequeno, Leste, and Sueste). In the ab-  Seamount  6  6.38"* 
Shark group  1  97.57°° 
In support of this, the mean  CPUE of  sence  of any  data describing  oceano- 
Interaction  6  14.36°° 
blue sharks was consistently low across  graphic conditions and habitats at these  Residual  130 
individual  seamounts  (Fig.  4) and  different types of seamounts, it is diffi- 
showed  little variability since Tukey’s  cult to determine possible causes for the 
test for a significant interaction detected  observed increase in CPUE at the sea-  Columns” (Rogers,  1994; Travassos et 
between  seamounts  and  groups  of  mounts with deeper summits and low-  al., In press). The extent to which these 
sharks (Table 5) failed to detect any sig-  sloping depth profiles.  Previous  stud-  sorts of processes may facilitate primary 
nificant differences  in mean  CPUE of  ies have  shown,  however,  that  sea-  production  and consequent  cascading 
this group among the seamounts exam-  mounts in this category may have more  effects throughout the trophic chain is 
ined (Fig. 4, Table 5).  turbulence,  due to the interaction  be-  unknown but, given the observations in 
Conversely, the CPUE of gray sharks  tween oceanic currents and the subma-  the present  study, they may  have  had 
did show an effect due to seamounts and  rine relief, that results in the formation  some  influence  that contributed to the 
was  significantly  greater  (difference  of upwellings  and  possibly  “Taylor  greater  relative  abundance  of gray 
Marine Fisheries Review
A) Total tunas  B) Total billfishes 
i 
7 C) Other fish combined  D) Total sharks 
aaron 
I 
Cof(hfnioP oso.Uhk /Es1/ 0y0e ar) 
_E) Gray shark  F) Blue shark 
po  my 
Subarea 
Figure 3.—Differences in arithmetic mean yearly CPUE (+SE) of (A) total tunas, 
(B) total billfishes, (C) other fish combined, (D) total sharks, (E) gray  shark, and 
(F) blue shark across each of the three areas. <, >, and = indicate direction of differ- 
ences detected in Tukey's comparison of means test. 
sharks in subarea  I| and the significant  1.44 in 1989 to 0.10i n 1997 (Fig6).. T he  7). Although  total catches  of billfishes 
increase in their CPUE.  CPUE of albacore.  Thunnus  alalunea,  remained fairly stable (Fig. 5), individual 
The data presented in Figures 5, 6, 7,  showed  less variability  but steadily  de-  catches  of swordfish,  Xiphias  gladius. 
and 8 show  quite large temporal  fluc-  creased  from 0.56 in 1983 to 0.001  in  steadily increased from  1991 (Fig. 8). 
tuations  of total  yearly  CPUE  (com-  1993,  whilst  the yearly  CPUE of big-  Many  of these  temporal  variabilities 
bined  across  all areas  and depths) of  eye tuna, 7: obesus, was always very low  can be explained with respect to changes 
most groups and species examined. For  (Fig. 6). Catches of gray and blue sharks  in overall fishing strategy over the past 14 
example, with the exception of the first  showed  similar  fluctuations  with blue  years, summarized in 5 distinct periods: 
year of the fishery, yellowfin tuna was  shark most abundant from 1986 until June 
always  the most  abundant  species of  1991  before  the CPUE  of gray  sharks  Period  | (July  1983—June  1986). Tu- 
tuna, with a yearly CPUE varying from  began to increase, peaking in 1995 (Fig.  nas  (i.e.  mainly  yellowfin  tuna)  and 
60(3),  1998
Ee] Gray shark 
[| Blue shark 
A>B 
B 
B 
S  a:  B 
is  5 
Cofh(finoP osoU.hk /Es1/ 0y0e ar)  B  B  B  B 
=.  aaa |  | a |  —_ 
Aracati  Dois Irmaos  Fundo  Sirus  Leste  Pequeno  Sueste 
Seamount 
Figure  4  Differences  in  arithmetic  mean  yearly  CPUE  (+SE) of (A) gray  shark, and (B) blue shark  across  different 
seamounts.  <, >, and = indicate direction of differences detected in Tukey's comparison of means test. 
billfishes  (swordfish,  sailfish,  /stio-  ity. In contrast  to many  international  CPUE of total  tunas  (Fig. 5) and also 
phorus albicans,  white marlin,  Tetrap-  longline fisheries, which tend to remove  resulting in a slight drop in the CPUE 
turus albidus, and blue marlin, Makaira  the fins and discard the carcass  at sea,  of sharks  (1988-90)  due to a  shift  in 
nigricans) were the main target groups  in  this  fishery  all shark  carcasses  are  effort  away  from  their areas  of maxi- 
whilst sharks were avoided.  landed  and  sold  at the  local  market.  mum abundance (i.e. the seamounts  in 
Period 2 (July  1986—December 1987).  However,  because  of the low price  of  subarea I) (Fig. 5). 
Along with tunas  and billfishes,  sharks  their meat,  prior to June  1986 the re-  After 1992 (during period 4), vessels 
(mainly the blue) became a target group.  turn paid to fishermen was half that for  concentrated  around  the  many  sea- 
Period 3 (January  1988—June  1991).  tunas  and billfishes.  In July  1986,  the  mounts  mainly  located  in subarea  I to 
Fishing grounds were discovered off the  fishing company  standardized the return  target gray  sharks (Fig. 7). Contributing 
Archipelago of St. Peter and St. Paul,  for all species  caught after it realized  factors towards the greater shift in effort 
with associated  increases  in catches of  that  although  sharks  were  worth  less  on this group  were  |) the discovery of 
yellowfin  tuna,  shifting effort  towards  than  other  species,  their  abundance  large abundances  of these  individuals 
this species.  meant  that  production  could  be more  above those seamounts in subarea | that 
Period  4 (July  1991—June  1996).  than doubled.  Facilitating  this diversi-  are shallow over a large area (see discus- 
Fishing  effort  was  concentrated  over  fication of effort was an established lo-  sion above)  and 2) an increase in the price 
shallow seamounts, where species com-  cal market for shark products, (e.g. fro-  of shark fins for international markets. 
prising  gray  sharks  were  abundant.  zen fillets) that had developed from the  Prompted by the leasing of an Ameri- 
Catches  were  mainly  dominated  by  steady production of shark meat during  can swordfish longliner, vessels began to 
these sharks.  the first 3 years of the fishery.  shift fishing effort again during mid 1996 
Period 5 (July  1996—June  1997). Al-  From  January  1988  and during  the  (period 5), using  light sticks above  the 
though gray sharks were stull the domi-  first quarter of each  consecutive  year  hooks and squid as bait to target sword- 
nant group, the CPUE of swordfish rose  (period 3), vessels began to operate in  fish. Recent modifications to gear, particu- 
sharply  owing  to a concentrated effort  the vicinity  of the Archipelago  of St.  larly the use of monofilament mainlines, 
involving the use of light sticks above  Peter and St.  Paul  to target  yellowfin  should see this trend increase as fisher- 
the hooks and squid as bait.  tuna that aggregate in large numbers to  men adopt the latest technology and meth- 
feed on dense schools of spawning fly-  ods developed in other fisheries (Bjordal, 
The  initial  diversification  in effort  ing fish (Hazin'). As a result, the CPUE  1989: Lokkeborg and Bjordal,  1992). 
that  resulted  in  sharks  being included  of this species more than tripled in the  It is apparent  that a number of fac- 
as a target group (period 2) mainly oc-  first  2 years  after  the  new  fishing  tors have contributed to changes in fish- 
curred because of an  increased aware-  grounds were discovered (Fig. 6). This  ing strategy  during  the past  14 years. 
ness  of their abundance  and availabil-  contributed  to an  overall  rise  in  the  Many of the shifts  in effort  appear to 
Marine Fisheries Review
4] Oo 
Total tunas 
Total billfishes 
Total sharks 
> oO  Other fish combined 
ie) °o 
|e  ee 
fCoh(finoP oso.Uhk /Es1/ 0y0e ar) 
Year 
Figure  5.— Yearly CPUE estimates of total tunas, billfishes, sharks, and other spe 
cies combined throughout the period examined 
—  Yellowfin tuna 
—is—  Albacore 
oy 
wo  —O—  Bigeye tuna 
® 
> 
~”  
x 
° 
\2) 
x 
o 
oO 
rr 
~ 
& 
2 
= 
—_ 
co) 
° 
= 
Lu 
a 
ou 
O 
14 985 
Year 
Figure 6.—Yearly  CPUE  estimates  of  yellowfin  tuna,  albacore,  and bigeye tuna 
throughout the period examined 
sustainability of the fishery, that monitor 
have been either market orientated,  re-  related,  given some  of the more  recent 
flecting  variabilities  in consumer  de-  developments (e.g. use of monofilament)  ing of catch and effort data 1s maintained. 
mand for various species, or as a result  and that most  of the fishing areas  have 
Acknowledgments 
of the discovery of new  fishing grounds  been fully explored, these sorts of changes 
and  stocks.  While  few,  if any,  of the  are likely to affect CPUE in the future. It  This study was funded by the Comissao 
changes  in the first  13 years  are  gear  is important, therefore, for the continued  Interministerial para os Recursosdo Mar 
60(3),  1998
O1 —  Blue chek  (CCIIRR M 1) thrroouuggh  h the the PrPoroggrarmaa maN acNaicoinozn  il 
de Avaliagado  dos  Recursos  Vivos  da 
—Ls  Gray shark  ;  .  ee  :  :  Ree 
Zona Economica Exclusiva  (REVIZEE) 
—O—  All other sharks combined  and the Conselho National de Ensino e 
Pesquisa (CNPq). Thanks are extended 
to Norte  Pesca  for their assistance  in 
compiling  the catch data and to Geoff 
Gordon for helpful discussions. 
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Marine Fisheries Review