Empirical validation of integrated stock assessment models to ensuring risk equivalence: A pathway to resilient fisheries management. [PDF]
Kell LT +5 more
europepmc +1 more source
Digital deepening and carbon outcomes in China's production network using an integrated framework combining decoupling and decomposition analyses with probabilistic STIRPAT projections. [PDF]
Huang Y, Li X, Matsumoto K.
europepmc +1 more source
Study on the Medium and Long Term of Fishery Forecasting Based on Neural Network
The forecasting system for medium to long term fishery resources is based on historical production data of specified fish types and those marine environmental factors. As these systems give a macro level prediction of fishery resources in the coming years they provide indispensable references for the planning and management of catching seasons.
Hongchun Yuan +4 more
openaire +2 more sources
Global fishery prospects under contrasting management regimes [PDF]
Data from 4,713 fisheries worldwide, representing 78% of global reported fish catch, are analyzed to estimate the status, trends, and benefits of alternative approaches to recovering depleted fisheries.
Christopher Costello +2 more
exaly +2 more sources
A Model for Fishery Forecast based on Cluster Analysis and Nonlinear Regression
There has been an increasing amount of research in the relationship between environmental factors and fishing yield. This paper adds to the body of knowledge by developing a new model for forecasting fishing yield.
Gu, YT (15844811) +3 more
exaly +1 more source
Predicting the economic impacts of the 2017 West Coast salmon troll ocean fishery closure
The ocean salmon fishery on the US West Coast has faced periodic closures of varying extents in order to protect vulnerable runs. These closures can have serious consequences for fishers and fishing communities, and have necessitated the release of ...
Kate Richerson, Daniel S Holland
exaly +3 more sources
Related searches:
A Novel Knowledge Discovery Model for Fishery Forecasting
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009In the area of ocean fisheries research, a new research interest is to use marine environment factors for fishery forecasting. This paper proposes a novel knowledge discovery model for fishery forecasting that uses the Indian Ocean big-eye tuna fishery as its testing ground. The model employs a 3-step process.
Hongchun Yuan, Ying Li, Ying Chen
openaire +1 more source
Removing biases in forecasts of fishery status
Journal of Bioeconomics, 2013A recent highly cited paper from this journal develops a model predicting maximum sustainable yield (\(MSY\)) of a fishery using the historical maximum catch (\(MaxCatch\)). The model is parameterized with a small sample of fisheries from the United States, and is subsequently applied globally to estimate the benefits of fishery recovery.
Christopher Costello +3 more
openaire +1 more source
Response to removing biases in forecasts of fishery status
Journal of Bioeconomics, 2013Previously in this journal, we demonstrated an empirical relationship between maximum sustainable yield (MSY) and historical maximum catch (Cmax) for fishery stocks off the Northeast U.S.—a relationship we then applied to estimate the potential catch losses from unsustainable fishing worldwide (Srinivasan et al. 2010).
U. Thara Srinivasan +3 more
openaire +1 more source
Forecasting for Recreational Fisheries Management: What's the Catch?
North American Journal of Fisheries Management, 2015Abstract The Magnuson–Stevens Fishery Conservation and Management Reauthorization Act of 2006 required regional fishery management councils to implement annual catch limits (ACLs) for nearly all stocks under U.S. federal management. Since 2011, the number of stocks requiring ACLs (and monitoring) has increased nearly 10-fold, with strict
Nicholas A. Farmer, John T. Froeschke
openaire +1 more source

