ISSN 10630740, Russian Journal of Marine Biology, 2012, Vol. 38, No. 6, pp. 448–453. © Pleiades Publishing, Ltd., 2012.
Published in Russian in Biologiya Morya, 2012.
Marine lobsters include 10 families 33 genera and
149 species and are distributed circumglobally [1, 2].
In Pakistan two lobster families namely Palinuridae
and Scyllaridae are reported [6, 22]. Commonly
occurring species of family Palinuridae are
polyphagous, P. homarus
family Scyllaridae includes
species . Some aspects of
their biology and abundance from Pakistani water
were studied . The lobsters are abundantly captured
on the Baluchistan coast than the Sindh coast (Table 1
and Fig. 1).
During 1971–2007 an average catches of spiny lob
spp.) were about 480 t/year .
Recently live lobsters and crabs have been exported to
China, Malaysia and Singapore. In 2007, total fisher
ies export earning was 188 million USD from frozen
fish, shrimps, lobsters, crabs and mollusks .
Biomass dynamic models (BDMs) also known as
surplus production models (SPMs) are an important
approach to the study of harvested populations. On the
production modeling various fisheries specialist’s
incredible work has been accounted from different
parts of the world [3, 4, 8, 10, 14, 15–18, 20, 21, 23]
Article is published in the original.
Panhwar et al.  described the maximum sustain
able yield of ladypees,
fishery in Paki
stan. Hilborn and Walters  suggested that in tropical
fisheries where catch consists of many species and the
catch data are difficult to collect by species and when
the management regulations are also difficult to make
species specific. Treating the entire catch of any fish
ery considered as a biomass dynamic pool is more
appropriate than single species dynamics.
Generally production models are based on the sim
ple equations, comprising of two or three parameters
and population state and fishing activity could be
described by a single variable . In a particular case
for the analysis of catch and effort data a seven param
eter model was presented . The production of a
fish population or other aquatic animals is often
sought as a means of establishing an upper limit to the
annual harvest . In general fish stocks remain
unstable (nonequilibrium state) because of natural
mortality, fishing mortality or environmental fluctua
tions, therefore, equilibrium modeling has failed .
Uptodate no published information is available
on the stock assessment and management of the spiny
lobster fishery in Pakistani waters. This is the first, to
estimate times series catch and effort data of spiny lob
ster fishery using catch and effort data analysis
Maximum Sustainable Yield Estimates of Spiny Lobster Fishery
in Pakistan Using NonEquilibrium CEDA Package
Sher Khan Panhwar
, Qun Liu
, Fozia Khan
, and Baradi Waryani
College of Fisheries, Ocean University of China, China
Center of Excellence in Marine Biology, University of Karachi, Pakistan
Department of Freshwater Biology and Fisheries, University of Sindh, Jamshoro, Pakistan
Received March 29, 2012
Maximum sustainable yield estimates of spiny lobster fishery were analyzed using catch effort data
analysis (CEDA) computer programme. The major parameters of this package are: Maximum sustainable
), catchability coefficient (
) carrying capacity (
), intrinsic growth rate (
), Replacement yield
and Final population. CEDA has ability to assess the parameters of Fox, Schaefer and PellaTomlinson mod
els. In addition it has an ability to estimate three error assumptions i.e. normal, log normal and gamma. In
this study, the Maximum sustainable yield outputs of three models of Fox, Schaefer and PellaTomlinson are:
828 t, 970 t and 970 t respectively. The outputs of error assumption of normal and log normal are 983 t (
0.57) and 950 t (
= 0.53) in Schaefer and PellaTomlinson models
respectively. MSY outputs of normal
error assumption of Fox are 817 t (
= 0.56). All the gamma error assumptions are (790 t) similar. The coef
ficient of variation (cv) of the estimated MSY was about 0.7 and the larger value (1.0) whereas lowest (0.5)
were recorded. The Fox model output are more conservative hence the best fits and is close to the annual aver
age landings of the spiny lobster fishery in Pakistan.
: Spiny lobster, maximum sustainable yield, fishery, CEDA, Pakistan