scholarly journals A study of the life history of Brazilian sardine, Sardinella brasiliensis: IV. Distribution and abundance of sardine larvae

1977 ◽  
Vol 26 (2) ◽  
pp. 219-247 ◽  
Author(s):  
Yasunobu Matsuura

Data on distribution and abundance of larvae of the Brazilian sardine, Sardinella brasiliensis, are presented based on samples collected in waters off southern Brazil during 1969 to 1971. The distribution pattern and relative abundance of sardine larvae during three spawning seasons are discussed. Relative abundance, using regional census estimates, was calculated each year. In general, larval abundance in each subarea coincided with that of eggs, although the area of distribution of larvae was larger than the spawning area. Estimates of larval abundance showed that the 1970-71 spawning season was the poorest, both in larval and egg abundance, despite the enlarged size of the area surveyed. The average temperature at stations where sardine larvae occurred was 23.4º C, ranging from 14.6 to 27.4º C, and the average salinity was 35.6º /oo, ranging from 35.0 to 36.7º /oo. Distribution of the larvae in different depth zones was analysed. Larvae usually were most abundant in the 51-100 m depth zone. No tendency for a unidirectional transport of larvae was observed; apparently they move from the spawning ground in all possible directions, spreading over the continental shelf. An estimate of survival rate of larvae, based on length frequency data pooled from the three years, was calculated. Undersampling of larvae during daytime was observed. The mean night-day catch ratio, based on larvae from all length classes sampled, was 3.93.

2000 ◽  
Vol 51 (2) ◽  
pp. 143 ◽  
Author(s):  
George M. Leigh ◽  
William S. Hearn

Modal analysis is applied to historical length–frequency records of the Australian southern bluefin tunafishery, in order to quantify the variation in mean length from year to year. In the South Australian fishery in the first half of March, the mean length has ranged between 54 cm and 64 cm for 1-year-old fish, 73 cm and 85 cm for 2-year-old fish, and 85 cm and 100 cm for 3-year-old fish. The mean lengths of 2-, 3- and 4-year-old fish, and the increment from age 1 to age 3, have increased substantially over the history of the fishery. This increase in growth is probably a response to a decline in the population due to heavy fishing. In many years in the Western Australian fishery, two or more groups of 1-year-old fish were found: the mean lengths of these groups typically differed by 10 cm. Growth rates also varied markedly according to the season of the year.


2021 ◽  
Vol 2 (1) ◽  
pp. 16-23
Author(s):  
Joseph Aggrey-Fynn ◽  
Divine Worlanyo Hotor

Sphyraena sphyraena (Linnaeus, 1758) and Apsilus fuscus (Valenciennes, 1830) are commercially important fish species in Ghana. The stocks are exploited mainly by the artisanal and semi-industrial fisheries. Growth and mortality rates, and exploitation levels of the two stocks in inshore waters of Ghana were assessed as a contribution to fill the knowledge gap on the species. Samples were obtained from three landing sites along the coast of Ghana from February to July, 2017. Length-frequency data were used to estimate growth, mortality and exploitation ratios. The modal class for S. sphyraena was 37.0–39.9 cm total length (TL) and 34.0–35.9 cm TL for A. fuscus. The length and weight relationships established that growth in S. sphyraena was negative allometric, whereas that of A. fuscus was isometric. The estimated growth parameters from the length frequency data fitted with the von Bertalanffy growth function were asymptotic length (L∞) of 69.9 cm TL for S. sphyraena and 53.5 cm TL for A. fuscus. The growth constant (K) was calculated as 1.64 yr-1 for S. sphyraena and 0.50 yr-1 for A. fuscus. The mean length-at-first capture (Lc) was found to be lower than the mean length at sexual maturity (Lm) for both species. The sex ratio showed a dominance of females over males in S. sphyraena, and 1:1 for A. fuscus. The total mortality rate (Z) for S. sphyraena was more than for A. fuscus. The estimated natural mortality (M) was 1.88 yr-1 for S. sphyraena and 0.74 yr-1 for A. fuscus whilst fishing mortality (F) rate was 3.04 yr-1 for S. sphyraena and 0.93 yr-1 for A. fuscus. The exploitation ratio showed that both fish stocks were exploited over the optimum levels. The estimated population parameters of the species obtained from the study, therefore, might be useful for the sustainable management of the stocks.


1991 ◽  
Vol 48 (4) ◽  
pp. 591-598 ◽  
Author(s):  
David A. Fournier ◽  
John R. Sibert ◽  
Mark Terceiro

We present an extension of the MULTIFAN method for simultaneously analyzing several length frequency data sets from length frequency data collected by research trawl surveys. The assumption that the research trawl samples the animals in a regular fashion allows the proportions at age in the samples to be parameterized in terms of relative year class strengths and the age-dependent selectivity of the sampling procedure. When available, relative abundance data can be incorporated into the analysis and permit the estimation of mortality. The method is applied to Gulf of Maine northern shrimp (Pandalus borealis) data. The parameter estimates obtained agree substantially with those previously obtained using a more detailed knowledge of the species' biology.


2020 ◽  
Vol 40 (3) ◽  
pp. 247-255
Author(s):  
Paulina Okpei ◽  
Joseph Aggrey-Fynn ◽  
Isaac Okyere

Abstract The Guinea shrimp, Holthuispenaeopsis (= Parapenaeopsis) atlantica (Balss, 1914) is exploited by traditional and commercial fisheries in the Gulf of Guinea, West Africa. We assessed growth, mortality, ovarian maturity, and exploitation of the population of the species in inshore waters of Ghana as a contribution of filling the knowledge gap on the species. Samples were obtained from fish landing sites from three different coastal towns in Ghana from October, 2017 to May, 2018. Length-frequency data were used to estimate growth, mortality and exploitation ratio. The modal class for males was 6.0–6.9 cm total length (TL) and 9.0–9.9 cm TL in females. The length and weight relationship established that growth in both sexes was negatively allometric. The estimated growth parameters from the length frequency data fitted with the von Bertalanffy growth function were asymptotic length (L∞) of 10.08 cm for males and 15.4 cm for females. The growth constant (K) was calculated as 0.99 yr–1 for males and 0.89 yr–1 for females. The mean length-at-first capture (Lc) was found to be lower than the mean length at sexual maturity (Lm). The sex ratio showed a preponderance of females over males throughout the period, with 76.21% females. The total mortality rate (Z) for males was more than for females. The estimated natural mortality was 2.32 yr−1 for males and 1.93 yr−1 for females (M) whiles fishing mortality (F) rate was 1.22 yr−1 for males and 1.46 yr−1 for females. The exploitation ratio showed the stocks were not over-exploited. The estimated population parameters of the species obtained should be significant for the sustainable management of this resource.


2019 ◽  
Vol 76 (7) ◽  
pp. 2125-2139 ◽  
Author(s):  
Tanja Miethe ◽  
Yves Reecht ◽  
Helen Dobby

Abstract In the absence of abundance indices from scientific surveys or commercial sources, reliable length frequency data from sampled commercial catches can be used to provide an indirect assessment of fishing mortality. Length-based indicators are simple metrics which describe length frequency distributions. The length-based indicator Lmax5%, the mean length of the largest 5% of individuals in the catch, combined with appropriately selected reference points, can be used to evaluate the presence of very large individuals in the catch and hence determine exploitation level. Using analytical per-recruit models, we derive reference points consistent with a spawning potential ratio of 40%. The reference points depend on the life history parameters for natural mortality, maturity, and growth (M, Lmat, L∞, k, CVL∞). Using available simulation tools, we investigate the sensitivity of the reference points to errors in these parameters and explore the usefulness of particular reference points for management purposes for stocks with different life histories. The proposed reference points are robust to uncertainty in length at first capture, Lc, and take into account the maturation schedule of a species. For those stocks with high M/k ratios (>1), Lmax5%, combined with the appropriate reference point, can be used to provide a data-limited stock assessment.


2018 ◽  
Vol 24 (2) ◽  
pp. 125
Author(s):  
Sevi Sawetri ◽  
Subagdja Subagdja ◽  
Dina Muthmainnah

The Malayan leaf fish or locally named as kepor (Pristolepis grooti) is one of important biotic components in Ranau Lake ecosystems. This study aimed to estimate population dynamic and exploitation rate of kepor in Ranau Lake, South Sumatera. The population parameters are estimated based on length frequency data which were collected in March to October 2013. Growth parameters and fishing mortality rates were calculated using FiSAT software package. The results showed that kepor’s growth was negative allometric, which tended to gain length faster than weight. Kepor population was dominated (42%) by individual length of 10.0 to 11.0 cm. Predicted length infinity (L) was 17.28 cm with high value of growth rates (K) of 1.4 year-1. The natural mortality rate (M) is 2.57 year-1, the fishing mortality rate (F) is 5.36 year-1 and total mortality rate (Z) is 7.93 year-1. The exploitation rate of Malayan leaf fish in Ranau Lake (E = 0.68 year-1) has passed the optimum score.  


2021 ◽  
Author(s):  
◽  
Vidette Louise McGregor

<p>Squid fisheries require a different management approach to most fish species which are much longer living. Most squid live for around one year, spawn and then die. The result of this is an entirely new stock each year with little or no relationship of stock sizes between the years. Hence, it is difficult to set appropriate catch limits prior to the season. Currently, there is nothing set up for modelling the New Zealand squid fishery in-season or post-season. In-season management would allow for adjustments of catch limits during a season. Post-season management would provide information on how much the stock was exploited during a season (described as the escapement). I have produced an integrated model using ADMB (Automatic Differentiation Model Builder) (Fournier et al., 2011) which models length frequency data, CPUE (Catch Per Unit Effort) indices and catch weights from a season. It calculates escapement which indicates how much the fishery is currently being exploited. In running the model against data from four area and year combinations, I found the escapement calculation to be stable. The results suggest this modelling approach could be used with the current data collected for post-season modelling of the fishery. I am less confident about in-season modelling with the current data collected. The integrated model fits quite poorly to the CPUE data, suggesting some discrepancy either between the data or the assumptions made of them. Sampling from a greater number of tows is recommended to improve the length frequency data and this may also improve the ability of the model to fit both to these and the CPUE.</p>


2021 ◽  
Author(s):  
◽  
Vidette Louise McGregor

<p>Squid fisheries require a different management approach to most fish species which are much longer living. Most squid live for around one year, spawn and then die. The result of this is an entirely new stock each year with little or no relationship of stock sizes between the years. Hence, it is difficult to set appropriate catch limits prior to the season. Currently, there is nothing set up for modelling the New Zealand squid fishery in-season or post-season. In-season management would allow for adjustments of catch limits during a season. Post-season management would provide information on how much the stock was exploited during a season (described as the escapement). I have produced an integrated model using ADMB (Automatic Differentiation Model Builder) (Fournier et al., 2011) which models length frequency data, CPUE (Catch Per Unit Effort) indices and catch weights from a season. It calculates escapement which indicates how much the fishery is currently being exploited. In running the model against data from four area and year combinations, I found the escapement calculation to be stable. The results suggest this modelling approach could be used with the current data collected for post-season modelling of the fishery. I am less confident about in-season modelling with the current data collected. The integrated model fits quite poorly to the CPUE data, suggesting some discrepancy either between the data or the assumptions made of them. Sampling from a greater number of tows is recommended to improve the length frequency data and this may also improve the ability of the model to fit both to these and the CPUE.</p>


2015 ◽  
Vol 6 (3) ◽  
pp. 155
Author(s):  
Bram Setyadji ◽  
Budi Nugraha

Model pengkajian stok melalui data frekuensi panjang lebih banyak digunakan karena data tersebut paling banyak tersedia dan mudah didapatkan dibandingkan data pengukuran jaringan keras (sisik, otolith, sirip dan tulang belakang) dan tagging. Khusus untuk ikan pedang, data panjang yang tersedia sebagian besar tidak standar dikarenakan ikan pedang yang tertangkap langsung diproses di laut yang mana bagian kepala, sirip, isi perut dibuang. Oleh karena itu dibutuhkan persamaan empiris untuk konversi dari ukuran non-standar ke standar sehingga bisa digunakan sebagai basis data pengkajian stok yang berbasis data tersebut. Data primer merupakan hasil observasi laut selama kurun waktuMaret 2011 sampai dengan Desember 2013, sedangkan data sekunder merupakan data observasi ilmiah Loka Penelitian Perikanan Tuna periode 2005-2013. Hasil penelitian menunjukkan terdapat korelasi yang signifikan antara beberapa parametermorfometrik ikan pedang yang diukur yakni panjang dari pangkal sirip dada ke ujung lekukan tengah sirip ekor (LJFL), panjang dari mata ke ujung lekukan tengah sirip ekor (EFL) dan panjang dari ujung rahang bawah ke ujung lekukan tengah sirip ekor (PFL) (R2 > 0,97; P < 0,01), akan tetapi tidak ada perbedaan yang nyata antara morfometri ikan pedang dan jenis kelamin (EFL-LJFL, P > 0,05 dan PFL-LJFL, P > 0,05). Hubungan antara nisbah kelamin dengan panjang ikan signifikan (Nisbah Kelamin = 0,0175 LJFL – 3,1001; n = 6, selang kelas 5 cm; P < 0,01) yang mana ikan pedang dengan ukuran lebih dari 260 cmadalah betina.Stock assessment models using length frequency data are more frequently used by Indonesian scientist due to its availability and easily obtained rather than skeletal parts or tagging data. As for swordfish most of the data vailable are not in standard form because most of swordfish landed are usually dressed at sea with various ways, so the length measurement are possible done afterward. There fore conversion among different length measurements is a necessity for assessment and management purposes. Primary data was collected from scientific observer program conducted between March 2011 and December 2013, while secondary data was obtained from 2005-2013. The results showed that the models are fit quite well for Lower Jaw Fork Length (LJFL), Eye Orbit Fork Length (EOFL) and Pectoral Fork Length (PFL) (R2> 0.97; P < 0.01) and there was no significant relationship between morphometric and sex (EFL-LJFL, P > 0.05 and PFL-LJFL, P > 0.05). Correlation between sex ratio and body size proved to be significant with nearly all of the swordfish >260 cm was female.


Parasitology ◽  
2009 ◽  
Vol 136 (9) ◽  
pp. 1023-1032 ◽  
Author(s):  
N. G. H. TAYLOR ◽  
R. WOOTTEN ◽  
C. SOMMERVILLE

SUMMARYThis study uses a novel method for discriminating cohorts and investigating the population dynamics of the parasitic crustacean, Argulus foliaceus. Analysis of parasite length-frequency data was carried out in order to elucidate the timings and drivers behind the parasite's life cycle. Up to 6 cohorts of the parasite emerge through the course of 1 year in still-water trout fisheries in England. Recruitment ceases over the winter months; however, 3 cohorts of the parasite over-winter, 2 as eggs and 1 as a hatched stage. The technique, when used in conjunction with temperature data, also allowed for the reliable prediction of growth rates and provided estimates of egg incubation times and the length of hatching periods. These data showed that growth rates increased exponentially between the observed temperatures of 4 to 22°C. The method allowed for the time taken from hatching to egg laying under field conditions to be predicted and produced estimates that were validated against independent laboratory studies on the growth of the parasite.


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