Sampling Methodology for Marine Fisheries Statistics:
Stratified Multistage Random Sampling Design (SMRSD): Developed and standardized by ICAR-CMFRI to systematically estimate marine fisheries data along India's extensive coastline.
Parameters Estimated:
Marine Fish Landing: Total catch by species, group, and landing center over time.
Marine Fishing Effort: Number of craft-gear units operated, fishing hours, and boat-days.
The sampling stratification accounts for space (maritime states divided into zones and landing centers) and time (calendar months stratified into 10-day clusters of days and diurnal landing hours).
Correct Option: Option 3 (Marine Fish Landing and Effort).
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2
ICAR JRF Fisheries Resource Management 29 Jun 2024Shift 1
MCQ (Single Correct)+4−1
A methodology vetted by FAO for fish landing data and effort estimation in India devised and implemented by the Central
Marine Fisheries Research Instutute
The methodology designed and implemented by ICAR-Central Marine Fisheries Research Institute (CMFRI) for estimating marine fish landings and fishing effort along the Indian coast is the Multi-stage Stratified Random Sampling design.
Vetted and recommended by the Food and Agriculture Organization (FAO) as a global model for tropical multi-species, multi-gear artisanal and mechanized fisheries, it stratifies coastline into maritime zones, landing centers (primary sampling units), and time clusters (secondary sampling units).
Correct Option: Option 1 (Multi-stage stratified random sampling).
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3
ICAR JRF Fisheries Resource Management 29 Jun 2024Shift 1
MCQ (Single Correct)+4−1
In the Linearized catch curve method to estimate Z, the rightmost points are not used since
In fisheries stock assessment, the linearized catch curve estimates total instantaneous mortality ($Z$) from length frequency distributions:
$$\ln\left(\frac{N_i}{\Delta t_i}\right) = c - Z \times t_i$$
The rightmost points corresponding to older, largest length classes are excluded from regression analysis because:
As fish length approaches asymptotic length ($L \to L_\infty$), the relative time interval $\Delta t$ approaches infinity, introducing extreme numerical errors and growth variance bias.
Correct Option: Option 1 (They are close to L∞).
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4
ICAR JRF Fisheries Resource Management 29 Jun 2024Shift 1
MCQ (Single Correct)+4−1
Which stock-recruitment model indicates that beyond a certain level of spawning stock, there is no relationship between
parent stock and recruitment
Proposed by Raymond Beverton and Sidney Holt (1957):
$$R = \frac{\alpha S}{1 + \beta S}$$
Asymptotic Density-Dependence: At low spawning stock levels ($S$), recruitment ($R$) increases linearly with stock size. However, as parent stock size expands, recruitment reaches an asymptotic ceiling ($R_{\max} = \alpha / \beta$) and becomes independent of further increases in parent stock size due to food and space resource limitation.
In Ricker's model, recruitment declines at very high stock sizes due to cannibalism.
Correct Option: Option 1 (Beverton and Holt).
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5
ICAR JRF Fisheries Resource Management 29 Jun 2024Shift 1
MCQ (Single Correct)+4−1
When the parent stock is reduced by fishing, to the extent that not enough young fish are produced to ensure that the stock
will maintain itself, it leads to
Recruitment Overfishing: Occurs when excessive commercial fishing pressure depletes the adult spawning biomass ($SSB$) to such an extent that maternal egg production is severely curtailed, preventing the fish stock from generating sufficient recruits to replace natural mortality and maintain equilibrium.
Growth Overfishing: Occurs when fish are harvested at too small an average size, yielding lower total catch biomass than could be achieved by allowing them to grow.
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