Evidence map›Paper›PMID 35520458›Full record

ArticleJournal of Great Lakes research2021

Trophic transfer efficiency in the Lake Superior food web: assessing the impacts of non-native species.

B G Matthias, T R Hrabik, J C Hoffman, O T Gorman, M J Seider, M E Sierszen, M R Vinson, D L Yule, P M Yurista

Abstract read
In one paragraph

Article in Journal of Great Lakes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

B G MatthiasBiology Department, University of Minnesota Duluth, 1035 Kirby Drive, 207 Swenson Science Building, Duluth, MN 55812, USA.
T R HrabikBiology Department, University of Minnesota Duluth, 1035 Kirby Drive, 207 Swenson Science Building, Duluth, MN 55812, USA.
J C HoffmanUS Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, 6201 Congdon Boulevard, Duluth, MN 55804, USA.
O T GormanUS Geological Survey, Great Lakes Science Center, Lake Superior Biological Station, 2800 Lake Shore Dr. East, Ashland, WI 54806, USA.
M J SeiderUS Fish and Wildlife Service, Ashland Fish and Wildlife Office, 2800 Lake Shore Dr. East, Ashland, WI 54806, USA.
M E SierszenUS Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, 6201 Congdon Boulevard, Duluth, MN 55804, USA.
M R VinsonUS Geological Survey, Great Lakes Science Center, Lake Superior Biological Station, 2800 Lake Shore Dr. East, Ashland, WI 54806, USA.
D L YuleUS Geological Survey, Great Lakes Science Center, Lake Superior Biological Station, 2800 Lake Shore Dr. East, Ashland, WI 54806, USA.
P M YuristaUS Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, 6201 Congdon Boulevard, Duluth, MN 55804, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Ecosystem-based management relies on understanding how perturbations influence ecosystem structure and function (e.g., invasive species, exploitation, abiotic changes). However, data on unimpacted systems are scarce, therefore, we often rely on impacted systems to make inferences about 'natural states.' Among the Laurentian Great Lakes, Lake Superior provides a unique case study to address non-native species impacts because the food web is dominated by native species. Additionally, Lake Superior is both vertically (benthic versus pelagic) and horizontally (nearshore versus offshore) structured by depth, providing an opportunity to compare the function of these sub-food webs. We developed an updated Lake Superior EcoPath model using data from the 2005/2006 lake-wide multi-agency surveys covering multiple trophic levels. We then compared trophic transfer efficiency (TTE) to previously published EcoPath models. Finally, we compared ecosystem function of the 2005/2006 ecosystem to that with non-native linkages removed and compared native versus non-native species-specific approximations of TTE and trophic flow. Lake Superior was relatively efficient (TTE = 0.14) compared to systems reported in a global review (average TTE = 0.09) and the microbial loop was highly efficient (TTE > 0.20). Non-native species represented a very small proportion (<0.01%) of total biomass and were generally more efficient and had higher trophic flow compared to native species. Our results provide valuable insight into the importance of the microbial loop and represent a baseline estimate of non-native species impacts on Lake Superior. Finally, this work is a starting point for further model development to predict future changes in the Lake Superior ecosystem.

Indexed as

EcoPathEcosystem FunctionEcosystem StructureTrophic Flow

Identifiers

PMID35520458
PMCPMC9067395

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.