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An ExtendSim platform to simulate the effects of trawling on benthic communities

Symposium on Integrating New Advances in Mediterranean Oceanography and Marine Biology. Session 5: Fisheries , Marine protected areas , population outbrusts , biodiversity shifts. An ExtendSim platform to simulate the effects of trawling on benthic communities.

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An ExtendSim platform to simulate the effects of trawling on benthic communities

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  1. Symposium on Integrating New Advances in Mediterranean Oceanography and Marine Biology Session 5: Fisheries, Marineprotectedareas, populationoutbrusts, biodiversityshifts An ExtendSimplatform to simulate the effects of trawling on benthic communities Alba Muntadas1*, Johanna Ballé-Béganton2, Michel Lample2, Silvia de Juan1, Denis Bailly2, Dolors Blasco1, Montserrat Demestre1 1Institut de Ciències del Mar, ICM-CSIC- Barcelona; 2Université de Bretagne Occidentale, UBO- Brest * amuntadas@icm.csic.es

  2. An ExtendSim platform to simulate the effects of trawling on benthic communities PLATFORM: SIMULATION OF TRAWLING EFFECTS ON BENTHIC COMMUNITIES AND EXPLOITED RESOURCES BLOCKS ● SYSTEM PRESENTATION ● METHODOLOGY ● STUDY AREAS ● SIMULATION

  3. BLOCK : SYSTEM PRESENTATION Commercial species Management ● Trawling affects benthic communities modifying Essential Fish Habitats  Effects on the resources. ● Platformgoallinkfishing – benthos – commercial species ● This platform is meant to be a useful tool for stakeholders: managers, fishermen, scientists, politicians… Fishingeffort Benthos Dayton et al. 1995. Aquatic Conservation.5:205-232

  4. BLOCK : METHODOLOGY FISHING EFFORT ESTIMATION -There are many ways to estimate fishing effort: CPUE, swept area, total length of trawl tracks.. Chosen unit: GT x days at sea/month - This information can be obtained in any area were the simulations wants to be applied Demestreet al. CIESM 2010

  5. BLOCK : METHODOLOGY BENTHIC COMMUNITY REPRESENTATION : THE TRAITS APPROACH ● Species composition is highly influenced by local characteristics  it can mask fishing impact consequences ● SPECIES  TRAITS : - Reduces the number of variables :  Overcome regional differences  Highlights fishing effects ● For the simulation we used simple traits easily assigned to species and directly related to trawling resistance/vulnerability de Juan, S. and Demestre, M. 2012. Ecological Indicators.18: 183–190.

  6. BLOCK : METHODOLOGY BENTHIC COMMUNITY REPRESENTATION : THE TRAITS APPROACH

  7. BLOCK : STUDY SITES STUDY SITES -Presentation of the data available in each study site. Community structure is presented by: ● Trait structure ● Species composition

  8. BLOCK : SIMULATION ● INPUTS 25000 PRESENT FISHING EFFORT GT * daysatsea/month 20000 DESIRED FISHING EFFORT GT * daysatsea/month HABITAT TYPE > 80% Mud Mud Sandy-mud 60-70% Mud 40-30% Sand Gravelly-mud Sand Sandy-gravel Maërl

  9. BLOCK : SIMULATION SIMULATION OUTPUT : PRESENT VS DESIRED EFFORT STRUCTURE PLOT -Total abundance -Percentage of trait categories withintraittype RESET PLOT Actual status Structureatdesiredeffort Uncertainity of the simulation

  10. BLOCK : SIMULATION SIMULATION OUTPUT : PRESENT VS DESIRED EFFORT STRUCTURE Relationship between traits: - Possibility to show one selected trait against another trait PRESENT STRUCTURE STRUCTURE AT DESIRED EFFORT Size Size Large Large Medium Medium Small Small Feeding Feeding Filter feeding Filter feeding Deposit feeding Deposit feeding Predator Scavenging Predator Scavenging

  11. An ExtendSim platform to simulate the effects of trawling on benthic communities WORK STATUS ● DONE: -Epifauna and physical data collection -Platform structure ● IN PROGRESS: -Statistical basis to run the simulation -Building the graphical interface FUTURE CHALLENGES : - Include information on infaunal community - Include the link benthos – comercial species

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