DISPLACE is a fisheries spatial ecosystem impact assessment tool that can be used to look at the consequences of fisheries and the benefits from managing them (including spatial fisheries closures) for a sustainable use and a viable economy of fisheries exploiting marine resources (fish, shellfish and marine invertebrates). The model simulates the fishing of individual vessels and their capacity to deploy their effort at fishing when constrained by spatial or temporal closures, other managements, and including spatial restriction from other concurrent uses of the sea (fish farms, commercial shipping lanes, wind farm parks).
In this context DISPLACE provides a basis for testing scenarios and projects the amount of income generated by national fishing fleets (or the economics of some finer segmentation such as fishing harbor communities) over months, quarters and years. We track aggregated economics and measure Income, Costs, Economic Indicators, Capital value, Profitability and development trends. DISPLACE is also a platform useful to compare fleet segments regarding their respective fuel efficiency and relative impacts by for example looking at the income issued from the sea for each unit of seabed area swept by the fishing gears.
(Disclaimer! Attached screenshots in this margin are very preliminary outcomes and should not be used to give any kind of advice neither to deduce any kind of productivity levels)
The Adriatic Sea is one of the most crowded marine area. Several fishing activities operate simultaneously in the area, and the need to minimize conflicts among them is also a social concern. We apply a fish and fisheries model accounting for space and time effects to study the impact that would result from a suite of spatial plans suggested by practitioners in order to reduce the pressure on the four main demersal fish and crustacean stocks (having high commercial interest) in the northern Adriatic. We also look at promoting space sharing between mutually exclusive activities.
Check out the open access paper for more information in Ecosphere
DISPLACE is a spatial impact assessment tool to anticipate the consequences of displacing fisheries on ensuring a better sustainability and economy of fisheries. The model simulates the activity of individual vessels and how they will use their time fishing and where given restrictions in space and time. By applying the model that fit the local fisheries of the Adriatic region, practitioners could further develop tailored applications to their area for both understanding the fine dynamic of the interlinked fish and fisheries here, and, in the meantime, acquire a helicopter view of the outcomes when the small-scale (fishing) operations at sea are aggregated. That kind of framework applied to the Adriatic or other areas should analyze and provide data with thematic reports/scenario on which the practitioners can rely on to project the fish stock population levels and fishery economy relevant to the ecoregion. The model contributes to the coordination and integration of different spatial activities in marine areas with the purpose of reducing potential inefficient management and use of space in accordance with the aims of the EU Marine Spatial Planning Directive (MSPD) and other Directives. In the project the model is used to estimate the consequences of closing specific areas to fishing.
In the competition for marine space, the fishing sector needs to prepare for management impacts from other directives than the EU Common Fishery Policy. Our purpose is to support the sector specific stakeholders and policy makers and provide them with a tool for evaluating the spatial planning and management scenarios and spatial explicit fishery dynamics. This tool is informed by the different types of fishing activities and other activities occupying marine space. The tool is designed to assist optimal decision making in reaction to stock fluctuations, changes in available space for fishing, and management actions, at the finest scale available. The model offers a detailed level of understanding on how stable profits and more energy efficient fisheries are possible, even if a zonation reduces the fishing opportunities and the number of fishing grounds. The model further contributes to the coordination and integration of different spatial activities in certain sea areas and reduces potential inefficient management and use of space according to the aims of the EU MSP directive.
Source: Bastardie, F., Nielsen, J. R., Eigaard, O. R., Fock, H. O., Jonsson, P., and Bartolino, V. Competition for marine space: modelling the Baltic Sea fisheries and effort displacement under spatial restrictions. – ICES Journal of Marine Science, doi: 10.1093/icesjms/fsu215. (here or here)
In relation to present simulations performed under the Baltic case study of the SOCIOEC project, the stakeholder feed-back is expected to provide information on (and contribute to) what the stakeholders consider to be the most important risk factors in such spatial management. Furthermore, they are expected to contribute with information on how they plan to react to the spatial management measures in their short-term decision making (on a daily basis or at the trip level). For example, how they will react to increased fuel prices? Or how increase price is changing the choices of fishing grounds? Or how do fishermen react to some stocks with altered productivity? Or do they switch to another ground, fisheries, occupation, etc.? Or do they on a longer term basis change their investment dynamics, exit from fishery, etc.?.) . Answers to such type of questions are very relevant because the model is designed to handle the answers and potentially add some new type of reactions based on the answers without too much additional modelling work. The methodology is already to a high extent based on questionnaires and answers to those, i.e. the model has been developed and structured to build on decision trees established from stakeholder feed-back (here). As a better understanding of the fishermen reactions to changed spatial management measures and fishing conditions it is important to know and understand the risks better, which can greatly refine the model perception.
With our approach we aim at modelling the interaction between fisheries and stock spatial dynamics and assessing the interlinked consequences on both the vessel economy and the viability and sustainability of the harvesting (including the issue of energy efficiency for greener fisheries). We explore alternative fishing effort allocation scenarios and management options. As such, we are designing a benchmark tool for conducting management strategy evaluations to capture short-term economic reactions from individual fisherman tactical decision-making.
In the growing marine spatial planning (MSP) legislative context, concurrent uses of the sea are constraining the possibilities of displacing each vessel´s fishing activities. These new constraints call for studies that would empower the fishing industry with the right tools and knowledge to engage in fair MSP dialogues. We should consider the impact assessment and scenario evaluation of wider marine cross-sector use, exploitation of the marine environment and competition for space in a spatial evaluation tool and our ongoing evaluation is precisely dedicated to investigate this aspect.
One current application considers the case of the international western Baltic Sea area and the ongoing spatial marine plans including offshore windmill farms and EU Natura 2000 conservation areas. For the first time some cross-national VMS data have been processed in the same framework and the movement of around 300 large fishing vessels (Danish, German and Swedish vessels) were informed and simulated individually, each vessel displacing and harvesting on a hourly time step over a projection period of 5 years. Fine scale fishing pressure in space and time were then deduced and the effect of redirecting the effort towards some new areas and other benthic habitats evaluated.
Interesting results are emerging from the work and for example the simulated dynamic of vessels interlinked to harvested fish stocks led to higher revenues from catches which could offset the additional costs from effort displacement, with some side benefits from releasing the pressure on the fish stocks and marine habitats. At the individual scale, some vessels were detected strongly stressed and retracted, sometimes offering new opportunities for a part of the participants. These results are a valuable basis for engaging a dialogue with stakeholders and managers while a support tool for facilitating the understanding of the dynamics, reproducing the observed patterns and evaluating alternative scenarios, as described and applied to the Baltic Sea area.
This study is conducted in association with a number of EU research projects and the development of a spatial explicit bio-economic model that covers both many stocks and fisheries. We are convinced that the development of such an approach and its current application has the potential to form near future developments in EU from the perspective of the fisheries within the context of maritime spatial planning.