کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7489545 | 1485515 | 2016 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fishers sharing real-time information about “bad” fishing locations. A tool for quota optimisation under a regime of landing obligations
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی دریا (اقیانوس)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
There is an increasing pressure on the fisheries to avoid bycatch and discards. In the EU this is seen in landing obligations in the new Common Fisheries Policy. The European fisheries are thus under pressure to be highly selective both in adjusting catches to the individual or collective quota combinations and to be size selective in order to optimise the economic outcome of the available quota. This paper proposes a strategy of time-place selectivity by sharing real-time data and information between vessels about areas with high abundance of unwanted species and sizes (hotspots). The paper examines use of time-place regulation, risks/benefits of sharing knowledge and experiences from a previous real-time information sharing system as basis for developing the four models for fisher's sharing of information. The models differ with regard to data and information collection methods, who owns and access the data and hotspot warnings. The models are tested through a discussion of the possible application of the models in the context of the nephrops trawl fishery in Kattegat and Skagerrak. Based on this the models are proposed as possible tools for the fishing industry and managers when adjusted to specific local conditions, and a recommendation for policy support of development of information sharing systems is outlined.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Marine Policy - Volume 64, February 2016, Pages 16-23
Journal: Marine Policy - Volume 64, February 2016, Pages 16-23
نویسندگان
Søren Qvist Eliasen, Nikolaj Bichel,