Global in scope and regionally rich: an IndiSeas workshop helps shape the future of marine ecosystem indicators

Shin, Yunne-Jaï; Bundy, Alida; Shannon, Lynne J.; Blanchard, Julia L.; Chuenpagdee, Ratana; Coll, Marta; Knight, Ben; Lynam, Christopher P.; Piet, G.J.; Richardson, Anthony J.

doi:10.1007/s11160-012-9252-z

Cited by 56 publications

(33 citation statements)

References 57 publications

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“…There are examples from other regions of how models such as Ecopath with Ecosim are used to evaluate TACs across multiple species by being utilized as management strategy evaluation tools (Grüss et al, 2016 and references therein). There are also other advances in food web models for marine systems for guiding fisheries management (Smith et al, 2011(Smith et al, , 2015Shin et al, 2012). Our work adds on to these efforts by proposing TAC values until 2020 based on an integrated circulation-biogeochemical model that includes the effect of environmental and climate variations.…”

Section: Discussionmentioning

confidence: 99%

Evolution of Future Black Sea Fish Stocks under Changing Environmental and Climatic Conditions

et al. 2017

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Here we present a case study toward producing quantitative scientific advice on the application of the EU Common Fisheries Policy (CFP) in the Black Sea. We provide estimates of fishing mortality rates at levels which will lead to rebuilding and maintaining stocks above biomass levels that could produce maximum sustainable yield (MSY) under the IPCC RCP4.5 future climate scenario together with the business as usual (BAU) river discharge scenario. In this study, we have implemented a coupled, basin-scale circulation-biogeochemical model and used its output to feed a food web model to test near-future changes that may be observed in the Black Sea ecosystem under the influence of contemporary fisheries exploitation conditions. In order to test model response to changes in climate and related drivers, the future climate scenario (2015-2020) simulation was compared to the present day (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) simulation. Likewise, to test the sensitivity of the higher trophic level food web model to changes in fishing pressure, a future estimate of fishing pressure was projected based on its respective contemporary value and applied to each fish stock. Using these models, fishing mortality rates that could produce the maximum sustainable yield (F MSY ) in future years 2015-2020 and ensure the long-term recovery of the predatory fish stocks of the Black Sea are predicted. Future projections suggest that all fish stock will decrease in all the regions of the Black Sea except for sprat. Anchovy is expected to show the highest decrease in biomass. Analyses on F MSY estimates show that a significant reduction in fisheries exploitation is required for the sustainable management of the Black Sea ecosystems and the related services. This study, for the first time, presents future stock size, F MSY , and MSY estimates for the Black Sea for 11 fish species. F MSY values are generally lower than estimates of the scientific, technical, and economic committee for fisheries (STECF), mainly because of the explicit food web interactions that the modeling system allows to be considered.

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Section: Discussionmentioning

confidence: 99%

Evolution of Future Black Sea Fish Stocks under Changing Environmental and Climatic Conditions

et al. 2017

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“…indiseas. org) is underway (Shin et al 2012). Further, development of reference levels for the indicators selected from this study is seen as a research priority for the future.…”

Section: A Step-wise Process To Examine Changes In the Southern Bengumentioning

confidence: 97%

Communicating changes in state of the southern Benguela ecosystem using trophic, model-derived indicators

Shannon¹,

Osman²,

Jarre³

2014

Mar. Ecol. Prog. Ser.

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An updated trophic model of the southern Benguela ecosystem in the period 2004−2008 was constructed, complementing trophic models for earlier periods. The model represents the trophic structure of the system after a southward shift of major resources. There was an increase in biomass of small pelagic fish and cephalopods between the 1980s and 2004-2008 periods, accompanied by declines in several higher trophic level groups. A 3 step process was followed: (1) a series of snapshots of the ecosystem was used to explore changes in the food web structure over time, (2) trophic indicators were extracted from these models to detect changes, and (3) model-derived ecological indicators which were deemed most meaningful for management within the ecosystem were selected for use in decision trees, providing a logical framework in which to access synthesised information on trends in ecosystem status as a result of fishing. Three decision trees were developed which examined the ecosystem at the community level (pelagiccaught fish and demersal-caught fish community decision trees) and at the system level (ecosystem decision tree).

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“…The averaging approach is the most commonly used method to aggregate indicators (Shin et al, 2012) and consists of simple calculations, using methods such as arithmetic average, hierarchical average, weighted average, median, sum, product or combinations of those rules, to come up with an overall assessment value. Ojaveer and Eero (2011) showed that in cases where a large number of indicators is available, the choice of e.g., either medians or averages in aggregating indicators did not substantially influence the assessment results.…”

Section: Averaging Approachmentioning

confidence: 99%

“…However, interpretation is less intuitive than other methods, as information on individual indicators in each ecosystem is lost (Shin et al, 2012) and links to management options are less obvious.…”

Section: Multidimensional Approachesmentioning

confidence: 99%

Tales from a thousand and one ways to integrate marine ecosystem components when assessing the environmental status

et al. 2014

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Assessing the environmental status of marine ecosystems is useful when communicating key messages to policymakers or the society, reducing the complex information of the multiple ecosystem and biodiversity components and their important spatial and temporal variability into manageable units. Taking into account the ecosystem components to be addressed (e.g., biological, chemical, physical), the numerous biodiversity elements to be assessed (e.g., from microbes to sea mammals), the different indicators needed to be studied (e.g., in Europe, 56 indicators of status have been selected), and the different assessment scales to be undertaken (e.g., from local to regional sea scale), some criteria to define spatial scales and some guidance on aggregating and integrating information is needed. We have reviewed, from ecological and management perspectives, the approaches for aggregating and integrating currently available for marine status assessment in Europe and other regions of the world. Advantages and shortcomings of the different alternatives are highlighted. We provide some guidance on the steps toward defining rules for aggregation and integration of information at multiple levels of ecosystem organization, providing recommendations on when using specific rules in the assessment. A main conclusion is that any integration principle used should be ecologically-relevant, transparent and well documented, in order to make it comparable across different geographic regions.

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Global in scope and regionally rich: an IndiSeas workshop helps shape the future of marine ecosystem indicators

Cited by 56 publications

References 57 publications

Evolution of Future Black Sea Fish Stocks under Changing Environmental and Climatic Conditions

Evolution of Future Black Sea Fish Stocks under Changing Environmental and Climatic Conditions

Communicating changes in state of the southern Benguela ecosystem using trophic, model-derived indicators

Tales from a thousand and one ways to integrate marine ecosystem components when assessing the environmental status

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