Description of the individual growth of Daphnia magna (Crustacea: Cladocera) through the von Bertalanffy growth equation. Effect of photoperiod and temperature

Limnology ◽  
2011 ◽  
Vol 13 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Fernando Martínez-Jerónimo
Keyword(s):  
Daphnia Magna ◽  
Individual Growth ◽  
Growth Equation ◽  
Von Bertalanffy ◽  
Von Bertalanffy Growth Equation ◽  
The Individual

scholarly journals Individual growth of Heleobia piscium in natural populations (Gastropoda: Cochliopidae) from the multiple use natural Reserve Isla Martin Garcia, Buenos Aires, Argentina

2008 ◽  
Vol 68 (3) ◽  
pp. 617-621 ◽  
Author(s):  
SM. Martin
Keyword(s):  
Buenos Aires ◽  
Natural Populations ◽  
Dynamic Structure ◽  
Reproductive Period ◽  
Individual Growth ◽  
Growth Equation ◽  
Multiple Use ◽  
Natural Reserve ◽  
Drainage Channels ◽  
The Individual

The present work analyses the individual growth of Heleobia piscium in natural conditions in coastal drainage channels of the Multiple Use Natural Reserve Isla Martín García, Buenos Aires, Argentina. Isla Martín García is located in the Upper Río de la Plata, to the south of the mouth of the Uruguay river (34° 11' 25" S and 58° 15' 38" W). Monthly collections were made from July 2005 to July 2006 in the eastern part of the island (Arena Beach). The population of H. piscium showed a complex and dynamic structure of sizes during a long period of the annual cycle. Two cohorts could be detected. The Bertalanffy growth equation was: Lt = 6 (1-e -1.85 (t+0.38)) and Lt = 3.9 (1-e -0.19 (t+4.84)) for cohorts 1 and 2, respectively. The pattern of population growth displayed a staggered model, where the greatest growth is observed during the summer. The reproductive period occurred during six months, from the beginning of summer to middle of fall. Based on only one reproductive effort, this pattern is not similar to that of other cogeneric species already studied.

scholarly journals Two-step Procedure Based on the Least Squares and Instrumental Variable Methods for Simultaneous Estimation of von Bertalanffy Growth Parameters

2019 ◽  
Vol 10 (2) ◽  
pp. 49-81 ◽  
Author(s):  
Ivelina Yordanova Zlateva ◽  
Nikola Nikolov
Keyword(s):  
Least Squares ◽  
Instrumental Variable ◽  
Initial Conditions ◽  
Growth Parameters ◽  
Individual Growth ◽  
Simultaneous Estimation ◽  
Parameter Estimates ◽  
Growth Equation ◽  
Von Bertalanffy ◽  
Step Procedure

Advanced in the present article is a Two-step procedure designed on the methods of the least squares (LS) and instrumental variable (IV) techniques for simultaneous estimation of the three unknown parameters L∞, K and t0, which represent the individual growth of fish in the von Bertalanffy growth equation. For the purposes of the present analysis, specific MATLAB-based software has been developed through simulated data sets to test the operational workability of the proposed procedure and pinpoint areas of improvement. The resulting parameter estimates have been analyzed on the basis of consecutive comparison (the initial conditions being the same) between the results delivered by the two-step procedure for simultaneous estimation of L∞, K and t0 and the results obtained via the most commonly employed methods for estimating growth parameters; first, use has been made of the Gulland-and-Holt method for estimating the asymptotic length L∞and the curvature parameter K, followed by the von Bertalanffy method for estimation of t0.

Age and growth studies of Gummy Shark, Mustelus antarcticus Gunther, and School Shark, Galeorhinus galeus (Linnaeus), from Souther Australian Waters

1992 ◽  
Vol 43 (5) ◽  
pp. 1241 ◽  
Author(s):  
PL Moulton ◽  
TI Walker ◽  
SR Saddlier
Keyword(s):  
South Australia ◽  
Growth Curves ◽  
Growth Patterns ◽  
Growth Equation ◽  
Von Bertalanffy ◽  
Fishing Mortality ◽  
Male And Female ◽  
Length Data ◽  
Von Bertalanffy Growth Equation ◽  
Galeorhinus Galeus

Age-length data were derived from counting stained bands on whole vertebral centra obtained from gummy shark, Mustelus antarcticus, captured by gill-nets during 1973-76 in Bass Strait and from gummy shark and school shark, Galeorhinus galeus, captured during 1986-87 in Bass Strait and waters off South Australia. The data were fitted to the von Bertalanffy growth equation after adopting the Francis reparametrization and correcting for sampling bias caused by the selectivity effects of the gill-nets of various mesh sizes used to capture the sharks. The von Bertalanffy growth curves of male and female gummy shark were significantly different, but the growth curves of male and female school shark were not. The growth curves suggest that growth rates of male and female gummy shark in Bass Strait were lower during 1986-87 than during 1973-76 and that the growth rates of male and female gummy shark and school shark in Bass Strait during 1986-87 were lower than those in South Australia at the same time. These apparent temporal and spatial differences in growth patterns of gummy shark are explained by the 'Phenomenon of Apparent Change in Growth Rate'. It is concluded that the growth curves determined for 1986-87 are distorted by the effects of a long history of high and length-selective fishing mortality and that actual growth patterns of gummy shark are better represented by the von Bertalanffy growth equation determined for shark caught in Bass Strait during 1973-76, when fishing mortality was much lower. Verification of age estimates was attempted by comparing von Bertalanffy growth curves derived from age-length data with those derived from tag release-recapture length-increment data, but these comparisons highlight the limitations of using tag data for this purpose. Although reasonable agreement was found between such growth curves for gummy shark, it appears that school shark older than 11 years cannot be aged accurately from stained whole or sectioned vertebrae. Sectioned vertebrae from a school shark recaptured 35.7 years after being tagged and released and calculated as having an age exceeding 45 years gave estimates of only 18-20 years of age.

Age, growth, and mortality of littlehead porgy, Calamus proridens, from southeast Florida coastal waters

2021 ◽  
Author(s):  
Michael L Burton ◽  
Jennifer C Potts ◽  
Ariel J Poholek ◽  
Jordan Page
Keyword(s):  
Coastal Waters ◽  
Southeastern United States ◽  
Fork Length ◽  
Total Mortality ◽  
Point Estimate ◽  
Growth Equation ◽  
Natural Mortality ◽  
Von Bertalanffy ◽  
Recreational Fisheries ◽  
Von Bertalanffy Growth Equation

Sectioned otoliths were used to age littlehead porgy Calamus proridens (n = 737) from southeastern Florida recreational fisheries. Otolith sections contained easily identifiable annuli and were reliable structures for aging littlehead porgy up to 11 yrs. Opaque zones were deposited from March to June (peaking in April). Littlehead porgy ranged from 1 to 11 yrs and 220 to 385 mm total length (TL). Body size relationships were TL = 1.09 FL + 16.06 (n = 3474, r2 = 0.95), FL = 0.87 TL – 1.15 (n = 3474, r2 = 0.95), W = 4.76 × 10 −5 TL2.80 (n = 6722, r2 = 0.86), and W = 1.2 × 10−4 FL2.71 (n = 3474, r2 = 0.90), where W is total weight (g) and FL is fork length (mm). Growth was not significantly different between two discrete geographic regions of Florida, and the von Bertalanffy growth equation was Lt = 335 (1 − e−0.41 (t + 2.13)) for all areas combined. The point estimate of natural mortality was M = 0.38, while age-specific estimates of M ranged from 0.60 to 0.41 yrs−1 for ages 1–11. Littlehead porgy were fully recruited to the headboat fishery by age-3 and catch curve analysis resulted in an estimate of total mortality Z = 1.08 for ages 3–7+. This study reports first estimates of life history parameters for littlehead porgy from Atlantic waters of the southeastern United States.

Good and bad fishing areas for Haliotis laevigata: A comparison of population parameters

1995 ◽  
Vol 46 (3) ◽  
pp. 591 ◽  
Author(s):  
FE Wells ◽  
P Mulvay
Keyword(s):  
Shell Length ◽  
Growth Equation ◽  
Von Bertalanffy ◽  
Population Parameters ◽  
Southern Coast ◽  
Close Inspection ◽  
Maximum Proportion ◽  
Males And Females ◽  
Von Bertalanffy Growth Equation ◽  
Mature Size

On the southern coast of Western Australia, proportionately more reproductive specimens of greenlip abalone, H. laevigata, were of legal size in 'good' fishing areas than in 'bad' fishing areas. Sex ratios were usually 1:1. Maturation of the gonads began at a size of 70-90 mm shell length (SL) and by 100-110 mm SL all animals were reproductively mature. Size-specific fecundities were not statistically different among the four good fishing areas examined, nor were they between the two bad fishing areas, but size-specific fecundity was greater in good than in bad fishing areas. Spawning begins as soon as the animals are mature; there is no gap between apparent histological maturity and actual spawning. Gonads are quiescent in the first part of the calendar year. Development is rapid in August and September, when animals begin to reach ripe condition. A maximum proportion of ripe animals occurs in October and November, followed by spawning in December. There was no difference between growth rates of males and females in either the good or the bad fishing areas. The von Bertalanffy growth equation disclosed no difference in growth between good and bad fishing areas, but close inspection of the data suggested that slower growth did occur in the bad fishing areas. The abalone reach reproductive maturity at an age of 2.5 to 3 years and the legal size of 140 mm SL at 5 to 6 years.

scholarly journals Individual growth of Drepanotrema cimex (Pulmonata: Planorbidae) from Arenalcito pond, natural reserve multiple uses Martin García Island, Buenos Aires, Argentina

2013 ◽  
Vol 73 (4) ◽  
pp. 835-833
Author(s):  
M Martín-Stella ◽  
C Díaz-Ana ◽  
A Rumi
Keyword(s):  
Buenos Aires ◽  
Size Structure ◽  
Neotropical Region ◽  
Individual Growth ◽  
Buenos Aires Province ◽  
Von Bertalanffy ◽  
Natural Reserve ◽  
Multiple Uses ◽  
The Individual ◽  
Measured Water

The species of the genus Drepanotrema, most of them endemic to the Neotropical region, belong to the Planorbidae. Of the nine species of this genus, six are found in Argentina. The present investigation analysed the individual growth of Drepanotrema cimex in Arenalcito pond (34°11′ S, 58°15′ W), Martín García Island Natural Reserve of Multiple Uses, Buenos Aires Province, Argentina. A total of 14 samples were collected (n = 1931) from February 2006 to June 2007. Five environmental variables were measured: water temperature, dissolved oxygen (mg L–1), electrical conductivity (µS cm–1), total dissolved solids, and pH. The individual growth of the species was analysed mathematically by means of the von Bertalanffy equation, where: Lt = 5,6(1-e–2,0592 (t–0,293)). The parameter L∞ was estimated by the Ford-Walford Method. The population of D. cimex was characterised by a complex and dynamic size structure throughout the annual cycle. The analysis of the curves revealed unimodal (2006) and polymodal (April to June 2007) distributions, which pattern served to identify the existence of cohorts within the population studied.

BODY TEMPERATURE AFFECTS THE SHAPE OF AVIAN GROWTH CURVES

1993 ◽  
Vol 01 (04) ◽  
pp. 363-374 ◽  
Author(s):  
C. ZONNEVELD ◽  
S.A.L.M. KOOIJMAN
Keyword(s):  
Body Temperature ◽  
Growth Curve ◽  
Time Course ◽  
Growth Curves ◽  
The Body ◽  
Growth Equation ◽  
Von Bertalanffy ◽  
Gradual Development ◽  
Mathematical Equations ◽  
Von Bertalanffy Growth Equation

Growth of birds is described by a variety of mathematical equations. These equations generally lack a biological motivation. As a result, it remains unclear why growth in different species should be described by different equations. In this article, we argue that the gradual development of endothermy affects the growth of birds. Hence, differences in the growth curve may result from differences in the thermal ontogeny. We assume that birds would grow according to the von Bertalanffy growth equation, if their temperature were constant. Using the deviations from this growth curve, we reconstruct the time course of the temperature of growing birds. This reconstruction well describes data on the ontogeny of the body temperature in birds.

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