scholarly journals Data collection on the small-scale fisheries of México

2011 ◽  
Vol 68 (8) ◽  
pp. 1611-1614 ◽  
Author(s):  
Mauricio Ramírez-Rodríguez

Abstract Ramírez-Rodríguez, M. 2011. Data collection on the small-scale fisheries of México. – ICES Journal of Marine Science, 68: 1611–1614. To improve data collection and analysis of basic fishery statistics provided by Mexican small-scale fishers, the official fishery-information system was modified by codes for fishing sites and species that facilitate data handling when used for estimating exploitation patterns related to fleet behaviour (zones/seasons) and production (catch and value per species). This is exemplified by analysing the relative importance of 14 fisheries and the dynamics of the black ark fishery in Bahia Magdalena, Baja California Sur, México.

2021 ◽  
pp. 101852
Author(s):  
Miguel Armenta-Cisneros ◽  
Miguel Angel Ojeda-Ruiz ◽  
Elvia Aida Marín-Monroy ◽  
Alfredo Flores-Irigoyen

2011 ◽  
Vol 68 (8) ◽  
pp. 1743-1750 ◽  
Author(s):  
Gertjan J. de Graaf ◽  
Richard J. R. Grainger ◽  
Lena Westlund ◽  
Rolf Willmann ◽  
David Mills ◽  
...  

Abstract de Graaf, G. J., Grainger, R. J. R., Westlund, L., Willmann, R., Mills, D., Kelleher, K., and Koranteng, K. 2011. The status of routine fishery data collection in Southeast Asia, central America, the South Pacific, and West Africa, with special reference to small-scale fisheries. – ICES Journal of Marine Science, 68: 1743–1750. The Food and Agriculture Organization (FAO) strategy for improving information on the status and trends of capture fisheries (FAO Strategy STF) was endorsed by Member States and the UN General Assembly in 2003. Its overall objective is to provide a framework, strategy, and plan to improve knowledge and understanding of the status and trends of fisheries as a basis for policy-making and management, towards conservation and sustainable use of resources within ecosystems. The FAO supports the implementation of FAO Strategy STF in developing countries through a project known as FAO FishCode–STF, and an initiative funded by the World Bank entitled the “BigNumbers project”. The BigNumbers project underscored the importance of small-scale fisheries and revealed that catches by and employment in this sector tend to be underreported. An inventory of data collection systems made under the FAO FishCode–STF project showed that small-scale fisheries are not well covered. Their dispersed nature, the weak institutional capacity in many developing countries, and the traditional methods used make routine data collection cumbersome. Innovative sampling strategies are required. The main priority is a sample frame for small-scale fisheries. Sustainable strategies are most likely to be found outside the sector through population and agricultural household censuses and inside the sector through the direct involvement of fishers.


Marine Policy ◽  
2019 ◽  
Vol 101 ◽  
pp. 158-166 ◽  
Author(s):  
Ratana Chuenpagdee ◽  
Delphine Rocklin ◽  
David Bishop ◽  
Matthew Hynes ◽  
Randal Greene ◽  
...  

Author(s):  
Yong Se Kim ◽  
Yeon Koo Hong ◽  
Sun Ran Kim ◽  
Jin Hui Kim

Though benefits of Experience Sampling (ES) for experience design and research are apparent, the method has not been widely used in the field. As for the reasons, the following are prominent: 1) methodological issues as conventional ES obtains contextual experience information from the participants’ description of the context), and 2) a lack of theoretical framework enabling researchers to carry systematical analysis and extraction of meaningful experiences. In order to deal with these issues, the researchers have created an adapted ES model, named ‘Context-Specific Experience Sampling’, by which integration of a rigorous data collection and analysis processes is made possible. The model provides explanations of how to gather context-specific user experience information and extract key themes and attributes from the data pool. This approach, manifesting divergent-to-convergent features, is described as ‘experience pooling, sorting, and extracting’ which fall under the concept of ‘experience processing’. This paper details the structure and procedure of the model illustrating it with examples from a small scale lighting ambiance study of fashion stores.


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