Article CC BY-NC-ND 4.0
refereed
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Socio-ecological drivers of demersal fishing activity in the North Sea: The case of three German fleets

GND
1221084658
ORCID
0000-0002-2023-9815
Affiliation
Thuenen Institute of Sea Fisheries, Herwigstraße 31, Bremerhaven, Germany
Letschert, Jonas;
GND
1221085085
Affiliation
Thuenen Institute of Sea Fisheries, Herwigstraße 31, Bremerhaven, Germany
Kraan, Casper;
GND
123620309
VIAF
37830262
Affiliation
Institute for Marine Ecosystem and Fisheries Science, University of Hamburg, Olbersweg 24, Hamburg, Germany
Möllmann, Christian;
GND
101913688X
Affiliation
Thuenen Institute of Sea Fisheries, Herwigstraße 31, Bremerhaven, Germany
Stelzenmüller, Vanessa

Worldwide, fisheries face the consequences of climate change and compete with expanding human activities at sea, which may trigger unforeseen reactions of fishers. Hence, knowledge on drivers of fishing behavior is crucial for management and needs to be integrated in resource management policies. In this study, we identify factors influencing fishing activity of North Sea demersal fleets. First, we explore drivers of the North Sea demersal fisheries in scientific literature. Subsequently, we study the effects of identified drivers on the spatio-temporal dynamics of German demersal fisheries using boosted regression trees (BRT), a supervised machine learning technique. An exploratory literature review revealed a lack of studies incorporating biophysical, economic and socio-cultural fishing drivers in a single quantitative analysis. Our BRT analysis contributed to filling this research gap and highlighted the importance of biophysical drivers such as temperature, salinity, and bathymetry for fishing behavior. Contrary to findings of previous studies, our empirical analysis identified quotas and market prices to be irrelevant, except for low brown shrimp prices, which counter-intuitively increased fishing effort. Moreover, economic and socio-cultural variables influencing brown shrimp fishing effort differed from the other fleets, especially determined by increased effort on workdays and reduced effort when fuel prices were high. Our findings provide key information for marine spatial planning and supports the integration of fishing fleet behavior into policies.

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