Playing the detective: Using multispecies approaches to estimate natural mortality rates

Plagányi, Éva E.; Blamey, Laura K.; Rogers, Jacob G. D.; Tulloch, Vivitskaia

doi:10.1016/j.fishres.2022.106229

Cited by 15 publications

(10 citation statements)

References 163 publications

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“…Currently, there are two common ways through which ecosystem knowledge and stock assessment models can be effectively linked: natural mortality and spatial dynamics. Scaling the natural mortality parameter (e.g., based on output from an ecosystem model; Plagányi et al 2022 ) to account for predation, multispecies interactions, or environmental drivers (e.g., increased mortality due to red tide; Sagarese and Harford 2022 ) is the most common method. Multispecies interactions can also be addressed implicitly by adjusting target harvest levels to account for the needs of other species (e.g., using multispecies reference points from MICE; Essington and Plagányi 2013 ; Free et al 2021 ).…”

Section: Current Challenges and Emerging Solutions For Provision Of E...mentioning

confidence: 99%

“…However, there is little guidance on how to address ecosystem model robustness and adequacy for management decision-making (Kaplan and Marshall 2016 ). Building on the guidelines recommended by Plaganyi et al ( 2022 ), development of tactical ecosystem models should begin with consideration of stakeholder inputs and LEK and be built in a stepwise manner starting with well-understood or proven dynamics. Focus should be placed on the main system drivers and additional complexity should only be added if it is supported by the data.…”

Section: Current Challenges and Emerging Solutions For Provision Of E...mentioning

confidence: 99%

“…A next step is participatory modeling initiatives to develop conceptual network models (i.e., the Integrated Ecosystem Approach, IEA), which describe functional relationships across the entire marine system (i.e., biological, human, and ecosystem components; Rosellon-Druker et al 2019 ; Spooner et al 2021 ). Conceptual network models can then be translated into ecosystem models, the outputs of which can be used to inform assessment model parameters (e.g., natural mortality; Marshall et al 2019 ; Plagányi et al 2022 ) or for adjusting target fishing mortality to account for ecological processes (Bentley et al 2020 ; Howell et al 2021 ). The simultaneous development of assessment and bio-socioeconomic ecosystem models, within the context of the science advisory process, can then help managers to better understand ecosystem interactions and system uncertainty (e.g., Drew et al 2021 ).…”

Section: Current Challenges and Emerging Solutions For Provision Of E...mentioning

confidence: 99%

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Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice

Goethel

Omori

Punt

et al. 2022

Rev Fish Biol Fisheries

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Marine population modeling, which underpins the scientific advice to support fisheries interventions, is an active research field with recent advancements to address modern challenges (e.g., climate change) and enduring issues (e.g., data limitations). Based on discussions during the ‘Land of Plenty’ session at the 2021 World Fisheries Congress, we synthesize current challenges, recent advances, and interdisciplinary developments in biological fisheries models (i.e., data-limited, stock assessment, spatial, ecosystem, and climate), management strategy evaluation, and the scientific advice that bridges the science-policy interface. Our review demonstrates that proliferation of interdisciplinary research teams and enhanced data collection protocols have enabled increased integration of spatiotemporal, ecosystem, and socioeconomic dimensions in many fisheries models. However, not all management systems have the resources to implement model-based advice, while protocols for sharing confidential data are lacking and impeding research advances. We recommend that management and modeling frameworks continue to adopt participatory co-management approaches that emphasize wider inclusion of local knowledge and stakeholder input to fill knowledge gaps and promote information sharing. Moreover, fisheries management, by which we mean the end-to-end process of data collection, scientific analysis, and implementation of evidence-informed management actions, must integrate improved communication, engagement, and capacity building, while incorporating feedback loops at each stage. Increasing application of management strategy evaluation is viewed as a critical unifying component, which will bridge fisheries modeling disciplines, aid management decision-making, and better incorporate the array of stakeholders, thereby leading to a more proactive, pragmatic, transparent, and inclusive management framework–ensuring better informed decisions in an uncertain world. Supplementary Information The online version contains supplementary material available at 10.1007/s11160-022-09726-7.

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Section: Current Challenges and Emerging Solutions For Provision Of E...mentioning

confidence: 99%

Section: Current Challenges and Emerging Solutions For Provision Of E...mentioning

confidence: 99%

Section: Current Challenges and Emerging Solutions For Provision Of E...mentioning

confidence: 99%

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Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice

Goethel

Omori

Punt

et al. 2022

Rev Fish Biol Fisheries

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“…For management, trophic interactions matter because they determine productivity, sustainable yields and resilience to anthropogenic stressors. Fishing not only impacts abundance and species composition directly but also ecosystem functioning, indirectly modifying species abundances (Plaganyi et al., 2022). Thus, assessing predation pressures is important for sustainable harvesting, especially for forage species (Pope et al., 2021; Trijoulet et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Fine‐scale diet data reveal spatial variation in predator–prey interactions in Norwegian fjords

Tengvall,

Søvik,

Enberg

et al. 2024

Journal of Applied Ecology

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Predator–prey interactions in time and space determine stock productivity, making them an important consideration when managing marine resources, rebuilding stocks or considering reopening a fishery. We analysed fine‐scale diet data from surveys conducted in 2009–2010 and 2018–2019 in three fjords in northern Norway with geostatistical models investigating how predation varied in space, time and between predator species. Our focus prey species was northern shrimp (Pandalus borealis), valuable both as a commercial resource and a major food source for other important species like Atlantic cod (Gadus morhua). Diet composition of fish predators differed clearly between fjords. While predator species and size were good predictors of shrimp predation, the relationships with bathymetry, prey density and geospatial variables were complex. Our study indicates that predation of forage species, such as shrimp, varies spatially in heterogenous fjord ecosystems. Shrimp consumption was not highest in the fjord with highest predator density, indicating a higher dependency of cod on shrimp in specific areas. Realized predation is a complex combination of predator and prey densities and predator ecology that differed in each of the three fjords. Synthesis and applications. Ignoring spatial variations in predator–prey interactions may lead to an inaccurate perception of stock productivity, suboptimal management and possibly unsustainable management targets. We recommend spatially explicit assessment and management for fish stocks where predator–prey interactions vary substantially in space, such as fjords and reefs.

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“…However, EAFM does not always mean that biological interactions are fully represented in models (Link, 2010; Link and Browman, 2014). Advice by the International Council for the Exploration of the Sea (ICES), for example, considers interactions by rescaling natural mortality rates based on information derived from multispecies models (ICES, 2022a; Plagányi et al, 2022). In Europe, EAFM has been operationalised through the Marine Strategy Framework Directive (MSFD) 8 and several multiannual plans 9 .…”

Section: Introductionmentioning

confidence: 99%

An efficient algorithm for Nash equilibria when harvesting interacting living resources

O'Neill

Rossberg

Thorpe

2023

Preprint

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Natural ecological communities exhibit complex mixtures of interspecific biological interactions, which makes finding optimal yet sustainable exploitation rates challenging. Most fisheries management advice is at present based on applying the Maximum Sustainable Yield (MSY) target to each species in a community by modelling it as if it was a monoculture. Such application of single-species MSY policies to strongly interacting populations can result in tragic overexploitation. However, the idea of "maximising the yield from each species separately" can be extended to take into account species interactions using a multispecies or ecosystem model and determining a Nash Equilibrium (NE), where the yields of each species taken in isolation are simultaneously maximised. Here we present 'nash', an R package that streamlines the computation of NE reference points for fisheries and other systems represented by a user-defined multispecies or ecosystem model. We present two real-world fisheries management applications alongside performance benchmarks. Satisfactorily search results are shown across models with an approximate factor 15 increase in performance when compared to the expensive round-robbing sequential optimisation algorithms used by other authors in the literature. We believe that the nash package can play an instrumental role in fully implementing ecosystem-based management policies worldwide.

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Playing the detective: Using multispecies approaches to estimate natural mortality rates

Cited by 15 publications

References 163 publications

Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice

Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice

Fine‐scale diet data reveal spatial variation in predator–prey interactions in Norwegian fjords

An efficient algorithm for Nash equilibria when harvesting interacting living resources

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