Age, growth, mortality and population structure of Spirilin Alburnoides cf

bipunctatus from northern Iran (Actinopterygii, Cypriniade)

1,2Mahvash Sefali *, 1,3Aziz Arshad , 4Siti Khlige Daud, 3Siti Shapor Siraj,

5Bahram Kiabi, 6Hamidreza Esmaeili and 1S.M. Nurul Amin

1 Laboratory of Marine Science and Aquaculture, Institute of Bioscience, Universiti Putra

Malaysia, 43400 UPM Serdang, Selangor, Malaysia

2Department of Biology, Faculty of Science, Universiti Alzahra,Tehran. Iran

3 Department of Agriculture ,Faculty of Agriculture, Universiti Putra Malaysia UPM 43400

Serdang, Selangor, Malaysia

4Department of Biology, Faculty of Science, Universiti Putra Malaysia UPM 43400 Serdang,

Selangor, Malaysia

5Department of Biology, Faculty of Science, Universiti Shahid Beheshti,Tehran. Iran

6Department of Biology, Faculty of Science, Universiti Shirz, Shiraz. Iran

*Corresponding author

Laboratory of Marine Science and Aquaculture

Institute of Bioscience

Universiti Putra Malaysia

43400 UPM Serdang

Selangor, Malaysia

Tel.: +60-4-2784807

H/P: +60-173268468

E-mail address: masaifali@yahoo.com

Age, growth, mortality and population structure of Spirilin Alburnoides cf

bipunctatus from northern Iran (Actinopterygii, Cypriniade)

ABSTRACT

The present study investigated age, growth and mortality of the Alburnoides bipunctatus by

regular monthly collection throughout one year from July 2008 to June 2009 in Kesselian

stream (the south Caspian Sea). Length frequency data were analysed using FiSAT software for

estimating population parameters. Asymptotic length (L ∞), growth coefficient (K) and growth

performance index Ø' were 104.48, 1.19 year-1 and 4.113 respectively. Total mortality (Z)

was estimated at 3.40 year -1, fishing mortality (F) at 2.43 year -1, and natural mortality (M) at

0.97 year -1. The exploitation rate (E) was 0.71. Mean temprature and salinity was 12.46 ºC,

ppt respectively . The exploitation level (E) 0.71 indicated that the fish stock was over

exploited in the Kesselian stream.

Keywords: Freshwater fishes, Cyprinidae, Alburnoides, population parameter, Iran

INTRUDUCTION

Iran belongs to the Eurasian land mass constituting a significant part of the Middle East both in

terms of geographic area and zoogeography. The country has been divided into nineteen major

drainage basins based on river systems (Coad 1995). Iran’s ichthyofauna contains both

Ethiopian and Oriental elements, although it is principally part of the Palaearctic Realm (Coad

1987).

Alburnoides bipunctatus (Bloch, 1782) has long been considered a complex species with a

number of subspecies found from France through Europe north of the Alps eastwards to the

Black, Caspian and Aral Sea basins (Berg 1949; Bogutskaya and Naseka 2004; Coad 2009).

Some of the subspecies were recently given a rank of species, A. ohridanus (Karaman, 1928)

and A. prespensis (Karaman, 1924) (Kottelat and Freyhof 2007). In Iran, it is widely distributed

and is found in the basins of the Caspian Sea, Lake Orumiyeh, Tedzhen River, Kavir, Namak

Lake, Esfahan (Zayandeh and Shur rivers), Tigris River, Persian Gulf drainage, and Kor River

(Coad 2009).The taxon in the Caspian Sea basin is often referred to a subspecies, A.

bipunctatus eichwaldii (De Filippi, 1863), by Bogustkaya (1997), although some authors

consider it to be a full species (Fricke et al. 2007).

For a long time the population of Alburnoides bipunctatus complex group from Iran have been

considered as one species. Recently Bogutskaya and Coad (2009) and Coad and Bogutskaya

(2009) described six new species from Iran: A. petrubanarescui (type locality Qasemlou Chay,

Orumiyeh Lake basin, Iran), A. namaki (type locality qanat at Taveh, Namak Lake basin,Iran),

A. nicolausi (type locality Simareh River in Karkheh River system, Tigris River drainage,Iran),

and A. idignensis (type locality Bid Sorkh River, Gav Masiab River system, Tigris River

drainage, Iran), A. eichwaldii (type drainage (Kura-Aras) and rivers of the Lenkoran’Province.

(Georgia, Turkey, Armenia and Azerbaijan) and Safid Rud (Iran), and Alburnoides qanati, sp.

n. is described from a qanat in the Pulvar River drainage of Fars Province in southern Iran. It

may be more isolated populations specially from south and east Caspian sea basin which the

status of them are being considered, so in this paper we named them as Alburnoides cf

bipunctatus.

Alburnoides cf bipunctatus is an important taxon for sport fishing , aquaculture and

zoogeography. Although a few reports exist on the taxonomic status of it, this species has not

yet been subjected to a comprehensive study. Virtually nothing is known about the population

structure of Alburnoides cf bipunctatus in river systems of the south Caspian Sea basin of

northern Iran. Caspian sea basin is located in the European area of the Eurasia and is one of the

most diverse freshwater ecosystems in Iran (Coad 1995).

As there are only limited number studies on the length-weight relationship for freshwater fish

species of Iran, and there were no studies that describe LWR of A. bipunctatus , therefore, a

biological investigation on Alburnoides cf bipunctatus was taken up. The aim of the present

study was to determine the length-weight relationship parameters of Alburnoides cf

bipunctatus. (the South Caspian Sea).

MATERIALS AND METHODES

The present study was carried out in Kesselian- Amirkola in the Mazandaran province (52°

59′,36° 13′ ).The Kesselian Stream is one of the major tributaries of the Talar River in

Mazandaran Province and an important Caspian Sea subarea (Fig. 1). Totally 1019 specimens

(Table 1)were captured using an electro shocker monthly between July 2008 and June 2009.

Fish specimens were preserved in 10% formalin solution and analyzed in the labratory.

Total length (TL) and standard length (SL) were measured to the nearest 0.05 mm, by using a

digimatic calliper. Total weight, were recorded by an electronic analytical balance (±0.01 gr).

Length-weight relationships are very useful for fisheries research because they: (a) allow the

conversion of growth-in-length equations to growth-in-weight for use in stock assessment

models; (b) allow the estimation of biomass from length observations; (c) allow an estimate of

the condition of the fish; and (d) are useful for between region comparisons of life histories of

certain species (Froese and Pauly, 1998). Length-Weight Relationship (LWR) is of great

importance in fishery assessments. Fish length-weight relationships, which describe

mathematically the correlation between fish length and weight, are useful for converting length

observations into weight estimates to provide some measure of biomass (Froese, 1998). Length

and weight measurements in conjunction with age data can give information on the stock

composition, age at maturity, life span, mortality, growth and production.

The relationship between the total length and total weight were determined by fitting the data to

a potential relationship in the form of W=aLb, where W is the weight in grams, L the total length

in milimeters, a and b are the parameters to be estimated, with b being the coefficient of

allometry (Pauly, 1984). A logarithmic transformation was used to make the relationship linear

(Bagenal and Tesch, 1978): Log w = log a+ b log L.

The condition factor (Kn) was calculated monthly by Kn=W/aLb (Biswas, 1993). The length-

frequency data were analyzed using the FiSAT (FAO-ICLARM Stock Assessment Tools)

software as explained in detail by (Gayanilo et al., 1996). To identify the modes in the

polymodeal length-frequency distributions of A. cf bipunctatus Bhatacharya, s method in the

package FiSAT was used. The length frequency data into groups with 4 mm length intervals

were pooled for each month. All identified size /age groups were derived from at least three

consecutive points and selection of the best results was based on the following criteria: (a)

values of the separation index (SI) for the different age groups; (b) number of identified age

groups and (c) standard deviation (SD) (Gayanilo et al., 1989).

Asymptotic length (L∞) and growth co-efficient (K) of the von Bertalanffy equation for growth

in length were estimated by means of ELEFAN-I (Pauly and David, 1981; Saeger and Gayanilo,

1986). Growth was investigated by fitting the von Bertalanffy growth function to length

frequency data. The von Bertalanffy growth equation is defined as follows (Sparre and Venema,

1998): Lt=L∞ [(1-exp (-K (t-t0))] ,with L∞ being the predicted asymptotic length, Lt the size at

age t, k the instantaneous growth coefficient, and to the point at which the von Bertalanffy curve

intersects the age axis. t0 was estimated by employing the equation of Pauly (1980):

Log t0 = -0.3922 - 0.2752 Log L∞ - 1.038 Log K

Phi prime (Ø'), or “growth performance index,” was used to study overall growth performance

relates k and L∞ for organisms that grow according to the VBGF in the following way

Ø' = log10k + 2log10L∞ . In the present study, Ø' was calculated. The total mortality rate (Z) was

estimated by using length converted catch curve analysis. Natural mortality (M) was calculated

using the equation of Pauly (1980)

Log10M=-0.0066-0.279Log10Lµ+0.6543Log10K+ 0.4634Log10T

where M is the natural mortality, L∞ the asymptotic length, K the growth co-efficient of the

VBGF and T the mean annual habitat water temperature (C). which incorporates water

temperature and the VBGF growth parameters L∞ and K. The annual mean water temperature

for the study was 12.46 ºC. The instantaneous fishing mortality (F) was taken as the difference

between total and natural mortality: F=Z-M. where Z is the total mortality and M, natural

mortality. The exploitation level (E) was obtained from E = F ⁄ Z = F ⁄ (F + M).

The recruitment pattern was obtained by projecting the length-frequency data backwards on the

time axis using growth parameters (Moreau and Cuende, 1991). Normal distribution of the

recruitment pattern was determined by NORMSEP (Pauly and Caddy, 1985) in FiSAT. Relative

yield per recruit (Y ⁄ R) and biomass per recruit (B ⁄ R) were estimated according to the model

of Beverton and Holt (1957) using the knife-edge selection.In order to study the population

structure, the length-frequency data were analyzed by using the SPSS Version 17 and FiSAT

packeage (Gayanilo et al., 1996).

RESULTS

Total number of individuals collected for this study was 1019. The mean total lengths were

67.68 ( 12.31) mm (Table 2, 3). Monthly size frequency distributions are given in (Fig. 2).

Length-weight relationships

The length- weight relationship is presented in Fig. 3. The regression between TL (total length)

and TW (total weight) showed positive relationship. The length-weight relationship equations

were established as: Log W = -5.2081 + 3.1221 Log L; in exponential from the equation is w=

0.000006 L3.1221 with Co-efficient of correlation r2 = 0.9581 (p<0.001) which indicates the

relationship was highly significant. Growth coefficient (b) was 3.1221 and condition factor (a)

was computed 0.000006.

Size frequency distribution

To study size frequency distribution were measured 1019 A. cf bipunctatus. Montly size

frequency distribution showed maximum three age group,with mean ? mm? mm? mm TL, in

the population .(Fig. 4.). Recruitment took place in???

Growth parameters

The length-frequency data were entered into the FISAT and the extreme value theory was

applied to find out the maximum length (L∞ ) from extreme values. The observed extreme

length was 99.50 mm and the computer predicted extreme length was 102.82 mm (Figure 5).

Extreme length range was 96.55 – 109.09 mm at 95% confidence interval level. Assymptotic

length (Lµ) was 104.48 mm and growth co-efficient was (K) = 1.19/yr. The calculated growth

performance index Ø' was 104.48 (Figure 6).

To assess the fit of growth parameters, ELEFAN(Electronic length frequency analysis) first

restructures the length distribution. This restructuring, using a ‘moving average frequency’

(Pauly, 1987), denotes peaks (above the moving average) and troughs (below the moving

average) in the distribution. Peaks receive a positive value, while troughs are assigned a

negative value. A growth curve is then derived, based on a selected set of L∞ and K values, and

compared to the restructured length distribution. That growth curve is then scored by summing

the restructured values for each length class the growth curve passes through (‘explained sum of

peaks’; ESP). Hence, it is a function of the proportion of available peaks hit and troughs

avoided by that curve. The ‘available sum of peaks’ (ASP) for the distribution represents the

maximum score which could be obtained by a single growth curve, being the sum of maximum

restructured values for each peak. The ratio ESP/ASP is then maximised by varying the growth

parameter set, to identify the best fitting growth parameters(Fig.7).

Age and growth

Maximum life span (tmax = 3/K) was years.The aapplication of modal progression

analysis by Bhattachary’s method were identified maximum three modal group. The modal

length of A. cf bipunctatus was between 38.53 mm in April and 96.60 mm in September, with

satisfactory sepration index (Table 2).

Mortality and exploitation

By using length –converted catch curve total mortality was estimated as 3.44 year -1 (Fig. 8).

Natural mortality (M) and fishing mortality (F) were calculated as 0.97 year -1and 2.43 year -1

respectively (Table 3). Exploitation level (E) was obtained 0.71 for A. cf bipunctatus. The

value of explotation was over than the expected optimum level (E=0.05).

Virtual Population Analysis (VPA)

Length structured VPA indicated that fishing started after 31.5 mm length of A. cf

bipunctatus There were two peaks of fishing mortality , First peak was between 61.5 and 71.5

mm length , Second peak was between 81.5 and 91.5 mm length

Recruitment pattern

Recruitment pattern of A. cf bipunctatus was continuous in the year.There were two major peak

recruitment. First peak occurred in April- May and The second peak observed in September-

October (Fig. 9).

.

DISCUSSION

Length–weight relationships have been reported for some commercially important

marine and freshwater fishes of Iran (Hosseini, 2002; Naddafi et al., 2002), but data for most

freshwater fis species were still missing. As spirlin today does little economic interest, studies

on biology of this taxon, including information on population structure of the Alburnoides in

Iranian waters are lacking. Thus information on growth is needed to develop population for the

conservation and management strategies of Alburnoides stocks. There are no published reports

on A. cf bipunctatus and this report is the first data on the population structure of A. cf

bipunctatus in Iran.

The comparison of growth parameters of A. cf bipunctatus in this study (Assymptotic length

(Lµ) was 104.48 mm and growth co-efficient was (K) = 1.19/yr, with other studies (Table 4)

show that, Differences exit for varous species of family Cyprinidae from Iran.

Length-frequency distributions and scale readings were used to distinguish age-classes

(maximum age: 5+). The Von Bertalanffy growth equation was L(t)=182.1(1-e.0331(t - 0.474)).

(Breitenstein and Kirchhofer, 2000).

The back calculated growth in the total length could be expressed by the following formula: Lt = 12.0 (1-e-0.59(t+0.14)). The phi-prime of spirlin from the Sava river is φ′=4.44. The length-weight relationship, covering the fish from the entire growing period, showed an isometric growth with a b-value of 3.025 (p>0.05), except of September when it was significantly allometric (Tree etal.,2006) Tne valueso f the regressionc o-efficient' b' obtainedf or the malesa nd femalesfrom SeberangT akir were3 .005a nd3 .012,w hereasth e valuesf rom PantaiR hu Mudawere 3.089 and 3.147,r espectivelyI.n all cases,t he exponentb lies in betweent heexpectedr angeo f 2.5-3.5r eportedf or most fish and shrimps( Carlander1 977: Le Cren19 51 ) andi s closesto 3 (Table2 ) in boths exesin dicatingt hatg rowtho f A. inter nrcdiusis isometric.rate.R ecruitnrenpta tternso f tiref ish revealedthat it recruits in the fishery almostthroughoutth e yccr '

The comparison with growth parameters obtained in otherstudies show differences in P. viridis from the different areasin the world (Table 2). The highest value of L∞ (184.60 mm)is from India waters (Narasimham, 1981) and the lowest value(89.4 mm) is in Malaysia (Choo and Speiser, 1979). The highest(2.14 year−1) and lowest (0.25 year−1) value of K is observed inIndia waters (Narasimham, 1981). It is observed that the presentL∝ value (102.38 mm) of P. viridis from Malaysia coastal watersis very close to Thailand and Hong Kong (Table 2) but K valueis not similar with other countries except for India.The growth coefficient b generally lies between 2.5 and 3.5and the relation is said to be isometric when it is equal to 3(Carlander, 1977). In the present case, estimated b (2.602) liesbetween the values mentioned by Carlander (1977) and significantlysmaller then isometric value (3) at 5% level. Table 3summarizes previously published values of the coefficients “a”and “b” for Perna. The values of “b” show considerable variation,ranging from 2.37 (Lee, 1985) to 2.86 (Narasimham,1981). The exponent “b” of the size–weight relationship inP. viridis is generally different from 3 as shown in Table 3.This might partly be explained through the influence of ecologicalfactors such as mussel density, shore level, etc. Suchecological differences were demonstrated by Hickman (1979)who compared wild stocks and raft-grown populations of Pernacanaliculus.The overall average growth rate of P. viridis showed 6.95(±2.01) mm/month which enable it to attain a total length ofaround 76.49mm in 11 months. This indicates that culture of P.viridis could be a successful industry in the area due to its bettergrowth rate than that is usually obtained for other bivalve species(Mendo and Jurado, 1993). Similar studies have been reportedby Amin et al. (2001b), Amin and Zafar (2004) and Blaber etal. (1998) on fish species through length converted age methodwhich also been followed in this study.

Higher natural mortality (1.69 year−1) observed than fishingmortality (0.79 year−1) of P. viridis seen in the present studyindicates the unbalanced position in the stock. The lower value ofE (E = 0.32) indicates the ‘under-fishing’ condition of P. viridisin the study area. According to Gulland (1965), the yield isoptimized when F =M; therefore, when E is more than 0.5, thestock is over-fished.The recruitment pattern suggests that annual recruitment consistof one seasonal pulse (Fig. 8), i.e. one cohort is producedper year and the highest peak occurs in July–August. There is nopublished report on recruitment of P. viridis in Malaysia. However,it has been reported that the P. viridis spawn mainly duringSeptember–December from east coast of India (Rajagopal etal., 1998). In the present study, it is observed that the majorspawning occurs in the months of January–February in thestudy area (Fig. 2). The major recruitment peak (July–August)detected in this study should correspond to the major spawningseason.5. ConclusionFrom the present study, it could be concluded that the stock ofthe green mussel shows the potential for exploitation in Sebatucoast of Malacca. More exploitation is possible and could be anoption for the livelihood of the coastal communities of the area.AcknowledgementsThe authors would like to express their sincere gratitude toMalaysian Technical Cooperation Program (MTCP) for financialsupport of the study. In addition, thanks go to Mr. KhyrulAmri for the assistance during field sampling. We sincerelyextend our thankful appreciation to the two anonymous reviewersof the manuscript for the valuable comments and constructivecriticisms.ReferencesAmin, S.M.N., Haroon, A.K.Y., Alam, M., 2001a. A study on the populationdynamics of Labeo rohita (Ham.) in the Sylhet basin, Bangladesh. Indian J.Fish. 48, 291–296.Amin, S.M.N., Rahman, M.A., Haldar, G.C., Mazid, M.A., 2001b. Studies onage and growth and exploitation level of Tenualosa ilisha in the coastalregion of Chittagong, Bangladesh. J. Inland Fish. Soc. India 33, 1–5.Amin, S.M.N., Rahman, M.A., Haldar, G.C., Mazid, M.A., Milton, D., 2002.Population dynamics and stock assessment of Hilsa shad, Tenualosa ilishain Bangladesh. Asian Fish. Sci. 15, 123–128.Amin, S.M.N., Zafar, M., 2004. Studies on age, growth and virtual populationanalysis of Coilia dussumieri from the neritic water of Bangladesh. J. Biol.Sci. 4, 342–344.Angell, C.L., 1986. The biology and culture of tropical oysters. ICLARM Stud.Rev. 12, 37.Benson, A.J., Marelli, D.C., Frischer, M.E., Danforth, J.M.,Williams, J.D., 2001.Establishment of the green mussel, Perna viridis (Linnaeus 1758) (Mollusca:Mytilidae) on the west coast of Florida. J. Shellfish Res. 20, 21–29.Blaber, S.J.M., Staunton-Smith, J., Milton, D.A., Fry, G., Velde, T.V., Pang,J., Wong, P., Boon-Teck, O., 1998. The biology and life-history strategies

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Legends of the figures

Fig. 1. Map of the 19 major drainage basins of Iran (the lake Mahãrlu basin lies between the

Gulfs and Kor basins) (Coad, 1995), and sampling location of kesselian (dat) in the south of

Caspian Sea in Iran.

Fig. 2. Annual size frequency distribution of A. bipunctatus from the kesselian stream,

Mazandaran Province, Iran.

Fig. 3. Length weight relationship of A. cf bipunctatusin the Kesselian stream, Mazandaran

province, Iran.

Fig. 4. Monthly length size distribution of A. cf bipunctatusin the Kesselian stream,

Mazandaran province, Iran.

Fig. 5. Predicted extreme length of A. cf bipunctatus in the Kesselian stream, Mazandaran

province, Iran.

Fig. 6. Estimation of K of A. cf bipunctatus in the Kesselian stream, Mazandaran province,

Iran.

Fig. 7. Von Bertalanffy growth curves (L∞ = 104.48 mm and K = 1.19 year-1) superimposed on

the restructured length-frequency histograms. The black and white bars are positive and

negative deviation from the weighted.

Fig. 8. Length-Converted Catch Curve of A. cf bipunctatus dots ( points used in calculating

through least square linear regression. Open dots = point either not fully recruited or nearing

L∞).

Fig. 9. Recruitment pattern of A. cf bipunctatus in the Kesselian stream, Mazandaran

province, Iran.

Fig. 10. Relative yield per recruit (Y/R) and biomass per recruit (B/R) of A. cf bipunctatus

in the Kesselian stream , Mazandaran province, Iran.

Fig. 11. Length structured VPA A. cf bipunctatus in the Kesselian stream , Mazandaran

province, Iran.

Legends of the tables

Fig. 1. Map of the 19 major drainage basins of Iran (the lake Mahãrlu basin lies between the

Gulfs and Kor basins) (Coad, 1995), and sampling location of kesselian (dat) in the south of

Caspian Sea in Iran.

Fig. 2. Annual size frequency distribution of A. bipunctatus from the kesselian stream,

Mazandaran Province, Iran.

Fig. 3. Length weight relationship of A. cf bipunctatusin the Kesselian stream,

Mazandaran province, Iran

Fig. 4. Monthly length size distribution of A. cf bipunctatusin the Kesselian stream ,

Mazandaran province, Iran

Fig. 5. Predicted extreme length of A. cf bipunctatus in the Kesselian stream ,

Mazandaran province, Iran.

Fig. 6. Estimation of K of A. cf bipunctatus in the Kesselian stream ,

Mazandaran province, Iran.

Fig. 7. Von Bertalanffy growth curves (L∞ = 104.48 mm and K = 1.19 year-1) superimposed on

the restructured length-frequency histograms. The black and white bars are positive and negative

deviation from the weighted

Fig. 8. Length-Converted Catch Curve of A. cf bipunctatus dots

( points used in calculating through least square linear regression.

Open dots = point either not fully recruited or nearing L∞)

Fig. 9. Recruitment pattern of A. cf bipunctatus in the Kesselian stream,

Mazandaran province, Iran.

Relative yield per recruit and biomass per recruit

Fig. 10. Relative yield per recruit (Y/R) and biomass per recruit (B/R) of A. cf bipunctatus

in the Kesselian stream , Mazandaran province, Iran.

Fig. 11. Length structured VPA A. cf bipunctatus

in the Kesselian stream , Mazandaran province, Iran.

Table 1. Montly pooled length frequency of Alburnoides cf bipunctatus from Kesselian

stream Mazandaran province, Iran

Mid

Length

15/7/0

8

15/8/0

8

15/9/0

8

15/10/0

8

15/11/0

8

15/12/0

8

15/1/0

9

15/2/0

9

15/3/0

9

15/4/0

9

15/5/0

9

15/6/0

9

31.5 1

35.5 3 1 1

39.5 4 1 9 2 5

43.5 2 17 2 1 6 4 3

47.5 1 8 4 1 4 25 5 10 15 11 9

51.5 14 2 5 11 24 16 12 19 10 9 1

55.5 19 6 3 15 19 11 15 13 15 5 2

59.5 11 17 1 8 17 32 22 15 12 9 9 2

63.5 7 15 7 6 19 16 13 18 13 8 13 3

67.5 2 6 5 7 20 13 19 14 9 9 16

71.5 1 6 6 7 10 5 9 10 3 2 16

75.5 3 5 3 3 4 11 11 9 2 1 5

79.5 1 2 2 3 2 6 2 5 1

83.5 2 1 4 1 1 1 1 3

87.5 1 1 1 1 1 8

91.5 1 1 1 8

95.5 1 4

99.5 1 3

Total 60 77 36 39 105 182 116 108 95 75 91 35

Table 2. Identified age groups from length-frequency analysis of A.cf bipunctatuc during

12 months sampling (July 2008 to June 2009), using Bhattacharya’s method

Months Mean TL (mm)of age groups

SD (mm) n SI

July 55.51 3.17 45 -80.17 5.40 6 5.75

August 38.53 4.23 10 -61.04 4.69 46 5.0573.65 3.12 12 3.23

September 53.50 8.47 9 -71.27 6.48 16 2.3896.60 11.17 3 2.87

October 66.69 8.46 37 -November 61.50 7.55 100 -December 49.75 5.37 95 -

66.06 6.34 98 2.7983.81 2.24 7 4.14

January 57.89 6.32 67 -75.21 3.79 27 3.4385.38 3,08 8 2.69

Febuary 63.50 7.94 107 -March 51.16 5.59 55 -

64.50 4.27 37 2.71April 41.01 2.95 10 -

55.27 4.18 34 470.03 2.04 29 4.75

May 50.31 4.36 26 -67.79 4.28 64 4.0579.94 2.03 11 3.85

June 57.50 4.80 5 -89.68 5.02 24 6.55

TL, total length; SD, standard deviation; SI, separation index; n, no.individuals.

Table 2- Descriptive of total length of Alburnoides bipunctatus from Kesselian stream

Mazandaran province Iran

Months N Mean Sd. Minimum Maximum

July, 08 60 65.14 8.81 52.10 92.29

Aug. 08 77 65.47 12.47 34.23 94.29

Sept, 08 36 73.42 12.97 51.87 102.80

Oct, 08 39 74.17 10.03 53.94 110.00

Nov, 08 105 68.94 8.83 43.18 95.09

Dec, 08 182 63.59 12.82 40.27 112.31

Jan, 09 116 70.05 10.10 47.35 97.16

Feb, 09 108 68.73 10.16 48.01 102.20

Mar, 09 95 62.72 9.52 43.17 92.12

Apr, 09 75 61.46 9.42 41.06 85.19

May, 09 91 69.65 10.90 46.62 92.55

Table 3- Descriptive of total weight of Alburnoides cf bipunctatus from Kesselian stream

Mazandaran province , Iran

Months N Mean Sd. Minimum Maximum

July, 08 60 3.1 1.53 1.39 8.72

Aug. 08 77 3.28 1.66 .51 8.81

Sept, 08 36 4.9 2.98 .1.53 14.27

Oct, 08 39 4.63 2.22 .1.68 13.70

Nov, 08 105 3.34 1.39 .88 7.56

Dec, 08 182 3.07 2.15 .63 15.33

Jan, 09 116 3.67 1.81 1.02 10.56

Feb, 09 108 3.51 1.78 1.15 13.29

Mar, 09 95 2.77 1.52 .81 10.59

Apr, 09 75 2.67 1.33 .63 7.51

May, 09 91 4.02 1.90 1.10 9.22

July, 08 35 10.34 4.41 2.04 16.72

Table 4 - Population parameters of A. cf bipunctatus in the Kesselian stream ,

Mazandaran province, Iran.

Population parameters Both sex of A. cf bipunctatus

Asymptotic length (Lµ) mm 104.46

Growth co-efficient (K) 1.19

Natural mortality (M) 0.97

Fishing mortality (F) 2.43

Total mortality (Z) 3.40

Exploitation level (E) o.71

Length range 31-11

Sample number 1019

Table 5. Parameters of the length-weight relationship for fish species from Iran

Family Species Length

rang (cm)

a b r Source

Cyprinidae Pseudorasbora parva

Temminck and Schlegelin

(1846)

4.58 -7.50 0.0098 3.010 0.938 Esmaeil

2006

Cyprinidae Cyprinion tenuiradius

Heckel, 1846

5.71-

14.21

0.0075 3.190 0.988 Esmaeil

2006

Cyprinidae Cyprinion watsoni (Day,

1872

8.34-

13.38

0.0101 2.952 0.993 Esmaeil

2006

Cyprinidae Barbus luteus (Heckel, 1843) 4.10-

21.10

0.0098 3.159 0.997 Esmaeil

2006

Cyprinidae Chalcalburnus mossulensis

(Heckel, 1843)

4.08-

10.52

0.0078 3.020 0.992 Esmaeil

2006

Cyprinidae Garra rufa (Heckel, 1843) 2.90-

13.00

0.0119 3.139 0.992 Esmaeil

2006

Cyprinidae Leuciscus persidis (Coad,

1981)

5.04-9.72 0.0076 3.391 0.988 Esmaeil

2006

Cyprinidae Capoeta damascina

(Valenciennes, 1842)

6.58-

24.90

0.0124 2.996 0.996 Esmaeil

2006

Cyprinidae Carrassius auratus 7.32- 0.0149 3.047 0.953 Esmaeil

(Linnaeus, 1758) 10.58 2006

Cyprinidae Rutilus frisii kutum Fl 9.1-

29.9

0.0107 3.055 0.97 Bandpeia

&

etal.2008

Cyprinidae Capoeta capoeta capoeta

Gueldenstaedt, 1772

M74- -

179

F 69-225

0.0107 M 3.052

, F

3.050

0.954 Abdoli,

&

etal.2000

36 48 60 72 84 96 108 120

Total Length mm

0

30

60

90

120

150

180

210

240

270

Fre

qu

en

cy