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Record W2777372608

Investigations into food web structure in the Beaufort Sea

2017· dissertation· en· W2777372608 on OpenAlexfundaboutno aff
Ashley D. Stasko

Bibliographic record

VenueUWSpace (University of Waterloo) · 2017
Typedissertation
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsnot available
FundersNatural Resources CanadaAboriginal Affairs and Northern Development CanadaNatural Sciences and Engineering Research Council of CanadaFisheries Joint Management CommitteeFisheries and Oceans CanadaUniversity of WaterlooBeaufort Regional Environmental Assessment
KeywordsBeaufort scaleFood webBeaufort seaOceanographyFisheryWorld Wide WebEnvironmental scienceComputer scienceSea iceBiologyGeologyEcologyTrophic level
DOInot available

Abstract

fetched live from OpenAlex

The effects of climate change on marine ecosystems are most pronounced in the Arctic, where ice free summers have been predicted to occur by mid-century. Climate-related changes to sea ice phenology, oceanographic habitat characteristics, and primary production regimes will likely have strong effects on ecosystem structure that could alter energy pathways, species distributions, food web dynamics, and secondary production. Knowledge of many offshore Arctic ecosystems remains poor, undermining the ability to predict the effects of a changing climate on food web structure and function. This thesis capitalizes on the first comprehensive offshore sampling program in the Canadian Beaufort Sea and Amundsen Gulf to address substantial knowledge gaps regarding fish and invertebrate food web structure in the region. Trophic structure and benthic-pelagic linkages for biological communities on the continental shelf and slope were examined using stable isotope values measured in 127 fish and invertebrate taxa, biomass distributions, and a database of biological functional traits compiled for 166 taxa. Four empirical studies were conducted to test hypotheses regarding the responses of trophic structure to environmental gradients of depth, organic matter input regimes, water mass structure, and benthic food supply. Understanding food web structure and its link to large-scale environmental gradients will be key to assessing and predicting the effects of climate change on offshore marine communities in the Canadian Beaufort Sea and Amundsen Gulf. \n \nIn Chapter 2, benthic-pelagic coupling via active biological transport was identified as important for sustaining fish communities in the Beaufort Sea. Lower availability of benthic resources with increasing depth restricted biomass production for small size classes of fish in deep habitats. In those same fish communities, pelagic subsidies obtained by benthopelagic fishes were important for maintaining a relatively high biomass of large-bodied fish in deep habitats. When fish and invertebrates were considered together in Chapter 3, benthic-pelagic coupling weakened eastward alongshore, across three regions. Benthic-pelagic coupling was (1) highest west of the Mackenzie River where sinking flux of pelagic particulate organic matter (POM) is known to be relatively high, (2) intermediate on the Mackenzie Shelf where riverine inputs of terrestrial organic matter dominate the sediment, and (3) lowest in the Amundsen Gulf where strong pelagic grazing is known to limit POM sinking flux to the benthos. Within all regions considered, benthic-pelagic coupling was consistently weakest in slope habitats underlying the transition between Pacific- and Atlantic-origin waters, where much of the organic carbon is transformed or intercepted in the water column. Analyses in Chapter 4 indicated that the dominance of terrestrial POM discharged from the Mackenzie River in the Beaufort Sea dampened depth-related changes in the δ15N values of suspension/filter feeders, infaunal deposit feeders, and bulk sediment. In contrast, a faster rate of change in consumer and sediment δ15N with depth was observed in the Amundsen Gulf. Relatively high primary production in the Amundsen Gulf likely promoted intensified biological transformation of autochthonous POM in the pelagic zone and lower downward POM flux, causing greater change in POM δ15N. Surprisingly, when isotopic diversity was weighted by species biomasses in Chapter 5, most benthic communities in the Canadian Beaufort Sea and Amundsen Gulf were found to rely on similarly diverse ranges of sedimentary organic matter, regardless of the sources. Trait-based functional diversity indicated that shelf edge communities maintained a relatively high diversity of biological trophic traits, presumably to exploit pulsed food inputs associated with dynamic shelf break hydrography. Several lines of evidence supported a role for episodic food inputs in structuring shelf edge trait composition. However, pairwise relationships between trophic traits and indicators of benthic food supply were not significant at the regional scale. Functional redundancy was low across most of the region, suggesting benthic food web function will be sensitive to species loss. \n \nThe research in this thesis presents the first comprehensive empirical studies of benthic food web structure for offshore fish and invertebrate communities in the Canadian Beaufort Sea and Amundsen Gulf. Each study proposes causal explanations for spatial patterns in food web structure based on data for habitat characteristics, species biomass distributions, and previously documented physical and biological properties of the regions. Three emergent properties are identified: (1) the Canadian Beaufort Sea and Amundsen Gulf should be considered separate but interconnected ecosystems, (2) organic matter pathways are key properties that define and determine trophic structure in the study systems, and (3) local habitat complexity interrupts linear associations between environmental gradients and trophic structure at the regional scale. The research represents a significant advancement in our knowledge of food webs in a rapidly changing, and understudied ecosystem. Several significant implications for ecosystem-based management are outlined in the General Conclusions section. Further study is needed to identify species-specific feeding relationships, understand how functional food web structure relates to indicators of ecosystem function, characterise winter ecology, and, ultimately, to develop an over-arching food web model that can be used to predict the impacts of a changing benthic food supply and species loss on community structure and function.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.202
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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