Identifying influential parameters of a multi-species fish size spectrum model for a northern temperate lake through sensitivity analyses

Benoit, David M.; Giacomini, Henrique C.; Chu, Cindy; Jackson, Donald A.

doi:10.1016/j.ecolmodel.2021.109740

Cited by 4 publications

(4 citation statements)

References 64 publications

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“…Trophic level has been considered, in general, to be positively correlated with body size [28,36] and similar results were expected for both traits in our study. The significant results obtained for both the linear and quadratic terms of trophic level, support a more complex relationship between trophic level and co-occurrence patterns (figure 1 c , dashed line).…”

Section: Discussionsupporting

confidence: 90%

“…Likewise, trophic level is a measure representing a key trait that has been used to define guilds, with guilds being defined as a group of species that exploit the same resource [28,34,35]. Trophic level can be useful to identify species pairs that are potential competitors (species within the same guild are presumed to compete more strongly for similar resources) or potentially have a predator–prey relationship (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the type and magnitude of the species co-occurrence patterns may depend on the degree of similarity of their traits [24]. For example, body size has been long recognized as an important factor influencing species interactions, particularly in aquatic ecosystems, as community structure can be affected by the size range of prey that a predator is capable of consuming [25][26][27][28]. For lake fish communities, differences in body size may have strong and different effects on the pattern of association observed between species (figure 1a).…”

Section: Introductionmentioning

confidence: 99%

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Can fish species co-occurrence patterns be predicted by their trait dissimilarities?

Cordero,

Jackson

2023

R. Soc. open sci.

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Trait-based analyses have been successful in determining and predicting species association outcomes in diverse communities. Most studies have limited the scope of this approach to the biotic responses of a small number of species or geographical regions. We focused on determining whether three biologically relevant traits (body size, temperature preference and trophic level) influence the patterns of co-occurrence between multiple species. We used fish species presence/absence from 9 204 lakes in Ontario, Canada, to obtain effect sizes of 2001 species-pair co-occurrence values, using a null model approach. Euclidean distances between each species-pair were calculated for each of the three traits selected. Multiple regression models and randomization tests were used to determine the direction and significance of the relationship of each trait with the observed co-occurrence values. The results show that species temperature preference was significantly related to co-occurrence patterns, indicating the effect of environmental filtering. Trophic level was significantly related to co-occurrence values for both linear and quadratic terms, suggesting that segregation between species is driven by large differences in this trait (predation effects). Unexpectedly, body size was not significantly related to the observed co-occurrence patterns. We provide a new approach to test relationships between species assemblages and trait conditions.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Can fish species co-occurrence patterns be predicted by their trait dissimilarities?

Cordero,

Jackson

2023

R. Soc. open sci.

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“…However, in scenarios where the direction of fishing mortality changes for each species was in opposition, the change in size spectrum slope was driven by mortality changes to Northern Pike, the larger of the two species. The importance of large predators in influencing the slope of the community size spectrum has previously been demonstrated in sensitivity analyses of a similar model (Benoit et al, 2021). Our findings suggest that caution should be taken when using size spectrum slopes as indicators of community status because changes in the community size spectrum slope driven by the largest predators may not reflect changes in the size distributions of other target species (e.g., the community size spectrum slope may become steeper while the size spectrum slope of another target species may become less steep).…”

Section: Discussionmentioning

confidence: 78%

Size spectrum model reveals importance of considering species interactions in a freshwater fisheries management context

et al. 2022

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Inland fisheries have a significant cultural and economic value around the globe, providing dietary protein, income, and recreation. Consequently, methods for monitoring and managing these important fisheries are continually being refined. In marine systems, multispecies size spectrum models have been increasingly used to explore management scenarios of important fish stocks within an ecosystem‐based fisheries management framework; however, these models have not been applied as extensively in freshwater systems. In this study, we developed a multispecies size spectrum model for the fish community of Lake Nipissing, a large, productive lake in Ontario, Canada. To the best of our knowledge, this is the first fully calibrated multispecies size spectrum model for an inland fishery. Using this model, we explored the impacts of potential fishing regimes and management scenarios on fish community dynamics while taking species interactions into account. Specifically, we examined how changes in fishing mortality affect (1) species biomass, (2) community size structure, and (3) stock recovery times. We found that community dynamics following changes in fishing mortality were driven by complex interactions among species, including competition and predation. The greatest changes in biomass and community size structure were observed following changes in fishing mortality of top predators, with community size structure most strongly influenced by changes in the mortality of the largest species. Counter to predictions based on generation time, the smallest species in our model exhibited the longest time to recovery due to strong competition and predation. Our results demonstrate the importance of considering species interactions in the management of inland fisheries and highlight the potential of size spectrum model use in freshwater systems.

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Projecting fish community responses to dam removal – Data-limited modeling

Hansen

Andersen

Bergman

2023

Ecological Indicators

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Identifying influential parameters of a multi-species fish size spectrum model for a northern temperate lake through sensitivity analyses

Cited by 4 publications

References 64 publications

Can fish species co-occurrence patterns be predicted by their trait dissimilarities?

Can fish species co-occurrence patterns be predicted by their trait dissimilarities?

Size spectrum model reveals importance of considering species interactions in a freshwater fisheries management context

Projecting fish community responses to dam removal – Data-limited modeling

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