Sustainable livelihoods approach (SLA) as an alternative to poverty alleviation in Nigerian fishing communities : a review

The hardship of poverty bestowed on people has become a problem of horrifying enormity. Which attracts global concern to a steadfast search on the best approach to address the menace and to improve the living standard of people particularly those in the rural areas. These areas equally represent where majority of the fishermen lives. They are found frequently isolated, living along margin of lakes, rivers etc often unheard and unseen in development process. The study reviews the concept of poverty, perception and situation in Nigeria, as well as the past approaches to poverty alleviation. Due to the failure of the past approaches to tackle poverty adequately, the paper outlines a new concept of poverty alleviation-sustainable livelihood. Basically the paper highlights its concept, principles, framework and its application in poverty alleviation projects and general development process with particular reference to the Nigerian rural fishing communities

Recruitment as an evolving random process of aggregation and mortality

The dynamics of the survival of recruiting fish are analyzed as evolving random processes of aggregation and mortality. The analyses draw on recent advances in the physics of complex networks and, in particular, the scale-free degree distribution arising from growing random networks with preferential attachment of links to nodes. In this study simulations were conducted in which recruiting fish 1) were subjected to mortality by using alternative mortality encounter models and 2) aggregated according to random encounters (two schools randomly encountering one another join into a single school) or preferential attachment (the probability of a successful aggregation of two schools is proportional to the school sizes). The simulations started from either a “disaggregated” (all schools comprised a single fish) or an aggregated initial condition. Results showed the transition of the school-size distribution with preferential attachment evolving toward a scale-free school size distribution, whereas random attachment evolved toward an exponential distribution. Preferential attachment strategies performed better than random attachment strategies in terms of recruitment survival at time when mortality encounters were weighted toward schools rather than to individual fish. Mathematical models were developed whose solutions (either analytic or numerical) mimicked the simulation results. The resulting models included both Beverton-Holt and Ricker-like recruitment, which predict recruitment as a function of initial mean school size as well as initial stock size. Results suggest that school-size distributions during recruitment may provide information on recruitment processes. The models also provide a template for expanding both theoretical and empirical recruitment research.