Techniques for handling large pond and farm datasets

Details are given of techniques to be used in the handling of large amounts of data in the field of aquaculture. Two examples are given where different types of multivariate data analyses are performed on the compiled datasets to identify and quantify the effects of key variables governing growth and production of fish in manured pond systems cultivating tilapia and carp.

From conflict to collaboration in natural resource management: A handbook and toolkit for practitioners working in aquatic resource systems

Natural resource management is closely linked to conflict management, prevention and resolution. Managing natural resources involves reconciling diverging interests that often lead to conflict, which can undermine management institutions and lead to exploitation, environmental destruction and deteriorating livelihoods. If conflicts turn violent, they can rip apart the entire fabric of society. Thus, managing conflicts in a peaceful manner is decisive not only for successful and sustainable resource management but for societal stability in general.

A new methodology for rapidly acquiring basic information on tropical fish stocks growth, mortality, and stock recruitment relationships

Comparative methods are presented which allow for quick and relatively reliable growth parameter estimates when growth data are not at hand. One of these methods involves the use of a newly developed "auximetric grid." An empirical equation for the estimation of natural mortality of any fish stock, given a set of growth parameters, is briefly reviewed. The methods are applied to data from the Gulf of Thailand trawl fishery, and the mortality caused by this fishery is estimated.

Evaluating mortality using length-frequency data when growth parameters are poorly known.

A method is presented through which the total mortality undergone by several fish stocks of the same species can be compared when growth parameters are poorly known or unknown. Whereas the estimate of Z obtained via the length-converted catch curve is highly sensitive to the input parameters K and L sub( infinity ), the ratio of Z estimates obtained for different stocks with the same combination of parameters is almost independent of these inputs, at least when the fit of the linear regression is good.

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