scholarly journals Quantifying habitat preference of bottom trawling gear

2020 ◽  
Author(s):  
N T Hintzen ◽  
G Aarts ◽  
J J Poos ◽  
K J Van der Reijden ◽  
A D Rijnsdorp
Keyword(s):  
Habitat Preference ◽  
Spatial Planning ◽  
Wind Farm ◽  
Fish Assemblages ◽  
Marine Species ◽  
Demersal Fish ◽  
Marine Spatial Planning ◽  
Nature Protection ◽  
Bottom Trawling ◽  
Fishing Vessels

Abstract Continental shelves around the world are subject to intensive bottom trawling. Demersal fish assemblages inhabiting these shelves account for one-fourth of landed wild marine species. Increasing spatial claims for nature protection and wind farm energy suppresses, however, the area available to fisheries. In this marine spatial planning discussion, it is essential to understand what defines suitable fishing grounds for bottom trawlers. We developed a statistical methodology to study the habitat preference of a fishery, accounting for spatial correlation naturally present in fisheries data using high-resolution location data of fishing vessels and environmental variables. We focused on two types of beam trawls to target sole using mechanical or electrical stimulation. Although results indicated only subtle differences in habitat preference between the two gear types, a clear difference in spatial distribution of the two gears was predicted. We argue that this change is driven by both changes in habitat preference as well as a change in target species distribution. We discuss modelling of fisheries’ habitat preference in light of marine spatial planning and as support in benthic impact assessments.

A modelling approach for offshore wind farm feasibility with respect to ecosystem-based marine spatial planning

2019 ◽  
Vol 667 ◽  
pp. 306-317 ◽  
Author(s):  
Kemal Pınarbaşı ◽  
Ibon Galparsoro ◽  
Daniel Depellegrin ◽  
Juan Bald ◽  
Germán Pérez-Morán ◽  
...  
Keyword(s):  
Spatial Planning ◽  
Wind Farm ◽  
Offshore Wind ◽  
Marine Spatial Planning ◽  
Offshore Wind Farm ◽  
Modelling Approach

Using AIS data from ships for MSP

2018 ◽  
Author(s):  
OCTO
Keyword(s):  
Real Time ◽  
Spatial Planning ◽  
Planning Process ◽  
Satellite Networks ◽  
International Maritime Organization ◽  
Automatic Identification ◽  
Marine Spatial Planning ◽  
Fishing Vessels

Automatic identification systems (AIS) are mandated by the International Maritime Organization to be operational on many types of ships; generally speaking, any cargo ship of 300 gross tonnes or more, and fishing vessels over 15 feet long. AIS broadcasts a ship’s identity, position, speed, and other variables as frequently as every other second, and at most every six minutes. Between VHF radio and satellite networks, ships can be monitored in real-time. Several websites offer real-time AIS data for free, making it an easy addition to a marine spatial planning process.

scholarly journals THE DEVELOPMENT OF MARINE SPATIAL PLANNING AND ITS APPLICATION FOR FLOATING FISH NET CULTURE

2017 ◽  
Vol 4 (1) ◽  
pp. 41 ◽  
Author(s):  
Dewayany Sutrisno
Keyword(s):  
Spatial Planning ◽  
Marine Species ◽  
Global Market ◽  
Marine Biodiversity ◽  
Marine Spatial Planning ◽  
Market Demand ◽  
Analysis Technique ◽  
Marine Planning ◽  
Marine Culture ◽  
Potential Area

Marine spatial planning has become the crucial issues for an archipelagic state such as Indonesia. The global market demand on marine economic species has been initiated the exploitation of the marine species which will become the hindrance in maintaining the sustainable marine biodiversity. Besides that, the degradation of marine species will also become the problem for traditional fishermen. Therefore, a model has to be employed to spatially manage the coastal waters as the alternative for fishermen activities during closed seasons, such as floating fish net culture.  The aim of this study was to develop marine spatial planning model based on ecological approach in order to identify the potentiality of marine waters for marine culture such as floating fish net culture. The method for the model consisted of social assessment using the Delphi for developing the rule of marine planning for floating fish net culture and the spatial analysis technique for determining the model of marine spatial planning for floating fish net culture. The area of Kupang Bay waters, East Nusa Tenggara was used as the study area. The result indicated that the model can be used to sustainable marine spatial planning, especially for floating fish net culture. The model considered the aspects of potential area for marine culture, the management of zonation and transportation lanes, the conservation and protected area and the strategic area. Application in Kupang bay illustrated the aspect of technology input such as raceways since the majority of the area of Kupang Bay waters is classified as medium potential. Further research still needs to optimum the application of model to others marine area.

Accounting for spatial scale and temporal variation in fish-habitat analyses using baited remote underwater video stations (BRUVS)

2020 ◽  
Vol 640 ◽  
pp. 171-187
Author(s):  
SL Wines ◽  
MA Young ◽  
R Zavalas ◽  
JM Logan ◽  
P Tinkler ◽  
...  
Keyword(s):  
Spatial Planning ◽  
Fish Assemblages ◽  
Marine Protected Area ◽  
Spatial Scales ◽  
Additive Models ◽  
Environmental Data ◽  
Marine Spatial Planning ◽  
Trophic Groups ◽  
Underwater Video ◽  
Spatial And Temporal Scales

With the implementation of marine spatial planning in many coastal regions of the world, there is a need to understand how marine species and communities respond to environmental heterogeneity. Predictive modelling approaches are one efficient method for associating marine communities with variations across the seascape. These approaches, along with increasing access to spatially explicit environmental data, provide improved opportunities for modelling fish assemblages. Baited remote underwater video stations (BRUVS) are a popular means of gathering fish assemblage data in the coastal zone, but have biases in bait attraction, trophic groups sampled, and behavioral conditions. To account for these biases, spatial and temporal scales of analyses must be considered. In this study, we combined time-series BRUVS observations with seafloor and oceanographic variables in generalized additive models to model patterns of relative species richness and abundance in temperate coastal fish assemblages across multiple habitat types, functional trophic groups, and spatial scales from 5-500 m. We show that the spatial and temporal scale of analyses and behavioral characteristics of target species (such as mobility) are important considerations when predicting the spatial distribution of a particular assemblage or functional subset. The resulting models performed well, with prediction accuracies up to 79% while explaining between 24 and 83% of variance. These models were then used to extrapolate assemblage characteristics over broader areas of the seafloor to expand our understanding of fish distributions, providing valuable insights for marine spatial planning, including marine protected area assessment.

Offshore wind farm in marine spatial planning and the stakeholders engagement: Opportunities and challenges for Taiwan

2017 ◽  
Vol 149 ◽  
pp. 69-80 ◽  
Author(s):  
Ying Zhang ◽  
Chao Zhang ◽  
Yen-Chiang Chang ◽  
Wen-Hong Liu ◽  
Yong Zhang
Keyword(s):  
Spatial Planning ◽  
Wind Farm ◽  
Offshore Wind ◽  
Marine Spatial Planning ◽  
Offshore Wind Farm

scholarly journals Mapping inshore fishing activity using aerial, land, and vessel-based sighting information

2014 ◽  
Vol 72 (2) ◽  
pp. 467-479 ◽  
Author(s):  
Patricia Breen ◽  
Koen Vanstaen ◽  
Robert W. E. Clark
Keyword(s):  
Monitoring System ◽  
Spatial Planning ◽  
Satellite Monitoring ◽  
Marine Spatial Planning ◽  
Fishing Activity ◽  
Fishing Vessels ◽  
Spatial Differences ◽  
Fisheries Interactions ◽  
Enforcement Activity ◽  
Good Agreement

Abstract Information on the distribution and intensity of inshore fishing activity is needed to inform marine spatial planning and to assess fisheries interactions with the environment and other industries. Although fishing vessels under 15 m (overall length) account for 98.4% (2011 value) by the number of the European fleet, information on inshore fishing activity in Europe is very limited as there is no statutory satellite monitoring of smaller vessels (<15 m length before 2012, <12 m thereafter). Here, we develop, present, and apply a method which uses sightings-per-unit-effort (SPUE) estimates calculated from fisheries enforcement data to describe the distribution and intensity of inshore fishing activity off the coasts of England and Wales. For the larger inshore vessels, the SPUE estimates of activity were validated with vessel monitoring system (VMS) data and showed good agreement at the scale of analysis. Fishing activity estimates from SPUE are presented with an assessment of uncertainty, to account for spatial differences in enforcement activity. Our estimates of the distribution and intensity of inshore fishing activity and will complement estimates of offshore fishing activity based on VMS.

scholarly journals Fish Assemblages in Seagrass (Zostera marina L.) Meadows and Mussel Reefs (Mytilus edulis): Implications for Coastal Fisheries, Restoration and Marine Spatial Planning

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3268
Author(s):  
Georgios A. Orfanidis ◽  
Konstantinos Touloumis ◽  
Claus Stenberg ◽  
Patrizio Mariani ◽  
Josianne Gatt Støttrup ◽  
...  
Keyword(s):  
Spatial Planning ◽  
Fish Assemblages ◽  
Current Speed ◽  
Water Current ◽  
Marine Biodiversity ◽  
Marine Spatial Planning ◽  
Fish Assemblage Structure ◽  
Coastal Fisheries ◽  
Seagrass Meadows ◽  
Fish Abundances

Seagrass meadows and mussel reefs provide favorable habitats for many fish species, but few studies have compared the associated fish assemblages directly and examined the influence of environmental variables. Knowledge of fish assemblages associated with disparate habitats is needed for the conservation of coastal fisheries and marine spatial planning. Catch per unit effort data derived from fyke nets showed similar species richness and diversity in seagrass meadows and mussel reefs, suggesting that both habitats support elevated marine biodiversity of mobile fauna. However, it was shown that fish assemblage structure differed between those habitats, and also fish abundance in seagrass meadows was significantly higher than in mussel reefs by comparing the data with a multivariate extension of Generalized Linear Models (GLM). Furthermore, employing underwater video recordings to compare fish abundances in high and low water current speed mussel reefs with a Generalized Linear Mixed Model with negative binomial distribution, data revealed similar fish abundances (in terms of the MaxN metric) despite the variation in current speed, probably because the mussel formations provide sufficient shelter, even from high water currents. The commercially important species Atlantic cod (G. morhua), however, was significantly more abundant in the low water current mussel reef. Therefore, restoration efforts targeting G. morhua could benefit from restoring low current mussel reefs. Our study provides input for the conservation of coastal recreational and commercial fisheries, habitat restoration and marine spatial planning where certain habitats may be prioritized.

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