Evaluating the fishery of tropical reservoirs using surplus production models: A case study of Aliyar Reservoir, Tamil Nadu, India

2021 ◽  
Vol 26 (2) ◽  
Author(s):  
Vaidhyanathan Geethalakshmi ◽  
V. Chandrasekar ◽  
Chinnadurai Shanmugavel ◽  
Femeena Hassan ◽  
Nikita Gopal
Keyword(s):  
Tamil Nadu ◽  
Surplus Production ◽  
Tropical Reservoirs ◽  
Production Models

On the dangers of including demographic analysis in Bayesian surplus production models: A case study for Indian Ocean blue shark

2020 ◽  
Vol 230 ◽  
pp. 105636 ◽  
Author(s):  
Zhe Geng ◽  
André E. Punt ◽  
Yang Wang ◽  
Jiangfeng Zhu ◽  
Xiaojie Dai
Keyword(s):  
Indian Ocean ◽  
Demographic Analysis ◽  
Blue Shark ◽  
Surplus Production ◽  
Production Models

Model selection and multi-model inference for Bayesian surplus production models: A case study for Pacific blue and striped marlin

2015 ◽  
Vol 166 ◽  
pp. 129-139 ◽  
Author(s):  
Yi-Jay Chang ◽  
Jon Brodziak ◽  
Joseph O’Malley ◽  
Hui-Hua Lee ◽  
Gerard DiNardo ◽  
...  
Keyword(s):  
Model Selection ◽  
Model Inference ◽  
Surplus Production ◽  
Production Models

Economics of Buffalo Milk Production – A Case Study in Rural Tamil Nadu

2012 ◽  
Vol 2 (2) ◽  
pp. 408-409
Author(s):  
Dr. A. Serma Saravana Pandian ◽  
◽  
Dr. K. N. Selvakumar Dr. K. N. Selvakumar ◽  
Dr. M. Prabu Dr. M. Prabu
Keyword(s):  
Milk Production ◽  
Tamil Nadu ◽  
Buffalo Milk

A Robust Method for Parameter Estimation from Catch and Effort Data

1989 ◽  
Vol 46 (1) ◽  
pp. 137-144 ◽  
Author(s):  
D. Ludwig ◽  
C. J. Walters
Keyword(s):  
Parameter Estimation ◽  
Robust Estimation ◽  
Robust Method ◽  
Amount Of Information ◽  
Surplus Production ◽  
Production Models ◽  
Composite Estimation ◽  
Estimation Scheme

The problem of robust estimation of optimal effort levels from surplus production models is considered. A variety of models are used to generate data, for the purpose of testing estimation schemes. The result of an estimation is an estimate of the optimal effort. These efforts are compared using the expected discounted value of a deterministic stock, which corresponds to the model used to generate the data. Such a criterion takes into account not only the loss due to bias in the estimated optimal effort, but also the loss due to the variance of the estimator. Estimation is difficult if there is a lack of informative variation in effort levels or stock sizes. In such cases, the estimation scheme which maximizes the criterion described above sacrifices realism in the representation of the stock-production relationship in order to reduce the variance of the estimate of optimal effort. We present a composite estimation scheme which performs acceptably in all the cases we have examined, and whose performance degrades slowly as the amount of information in the data decreases.

scholarly journals Reference points and management strategies: lessons from quantum mechanics

2006 ◽  
Vol 63 (1) ◽  
pp. 4-11 ◽  
Author(s):  
Jon T. Schnute ◽  
Rowan Haigh
Keyword(s):  
Quantum Mechanics ◽  
Management Strategies ◽  
Practical Importance ◽  
Reference Points ◽  
Surplus Production ◽  
Management Algorithm ◽  
Production Models ◽  
Conceptual Role ◽  
Common Framework ◽  
Mathematical Algorithms

Abstract Fisheries management often relies heavily on precautionary reference points estimated from complex statistical models. An alternative approach uses management strategies defined by mathematical algorithms that calculate controls, like catch quotas, directly from the observed data. We combine these two distinct paradigms into a common framework using arguments from the historical development of quantum mechanics. In fisheries, as in physics, the core of the argument lies in the technical details. We illustrate the process of designing a management algorithm similar to one actually used by the International Whaling Commission. Reference points and surplus production models play a conceptual role in defining management strategies, even if marine populations do not obey such simplistic rules. Physicists have encountered similar problems in formulating quantum theory, where mathematical objects with seemingly unrealistic properties generate results of great practical importance.

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