Literature DB >> 34326568

A reference inventory for aquatic fauna of the Laurentian Great Lakes.

Anett Trebitz1, Maicie Sykes2,3,1, Jonathan Barge4,1.   

Abstract

The Laurentian Great Lakes encompass an expansive and diverse set of freshwater ecosystems that contain a concordantly large and diverse vertebrate and invertebrate fauna. Although numerous publications exist concerning the composition and distribution of this fauna, there is at present no single readily available resource that brings all this information together. Here, we present and describe the compilation process for a comprehensive Great Lakes aquatic fauna inventory covering fishes, reptiles, amphibians, zooplankton, mollusks, annelids, insects, mites, and various other aquatic invertebrates. Inventory entries were developed via an extensive search of literature and internet sources and are attributed with detailed nomenclature information, general lake and habitat occurrences, and supporting citations and links to life history and genetic marker information. The inventory scope is the Laurentian Great Lakes proper and their connecting rivers, and their fringing coastal wetlands and lower tributaries. Over 2200 unique taxa are contained in the inventory -- 85% resolved to species and 14% to genus. The listing substantially expands previous richness estimates for invertebrates in the Great Lakes, but taxonomic resolution and spatial distribution information for them remains quite uneven. Example pattern analyses for fauna in this inventory show that aquatic vertebrates are generally more widely distributed than invertebrates, and that biodiversity is concentrated in the coastal margins. The inventory is being packaged into a public, searchable database that showcases the biodiversity of the Great Lakes aquatic fauna and can assist the research and management community in their biological investigations.

Keywords:  Aquatic fauna; Biodiversity; Species occurrence; Taxonomic literature

Year:  2019        PMID: 34326568      PMCID: PMC8318194          DOI: 10.1016/j.jglr.2019.10.004

Source DB:  PubMed          Journal:  J Great Lakes Res        ISSN: 0380-1330            Impact factor:   2.480


  7 in total

1.  Barcoding in the dark? A critical view of the sufficiency of zoological DNA barcoding databases and a plea for broader integration of taxonomic knowledge.

Authors:  Sebastian Kvist
Journal:  Mol Phylogenet Evol       Date:  2013-05-28       Impact factor: 4.286

2.  Resolving taxonomic ambiguities: effects on rarity, projected richness, and indices in macroinvertebrate datasets.

Authors:  Christy S Meredith; Anett S Trebitz; Joel C Hoffman
Journal:  Ecol Indic       Date:  2019       Impact factor: 4.958

3.  A depth-adjusted ambient distribution approach for setting numeric removal targets for a Great Lakes Area of Concern beneficial use impairment: degraded benthos.

Authors:  Ted R Angradi; Will M Bartsch; Anett S Trebitz; Valerie J Brady; Jonathon J Launspach
Journal:  J Great Lakes Res       Date:  2017       Impact factor: 2.480

4.  The benthic community of the Laurentian Great Lakes: analysis of spatial gradients and temporal trends from 1998-2014.

Authors:  Lyubov E Burlakova; Richard P Barbiero; Alexander Y Karatayev; Susan E Daniel; Elizabeth K Hinchey; Glenn J Warren
Journal:  J Great Lakes Res       Date:  2018-08       Impact factor: 2.480

5.  Morphological identification and COI barcodes of adult flies help determine species identities of chironomid larvae (Diptera, Chironomidae).

Authors:  A J Failla; A A Vasquez; P Hudson; M Fujimoto; J L Ram
Journal:  Bull Entomol Res       Date:  2015-06-15       Impact factor: 1.750

6.  BIOGEOGRAPHY OF A WIDESPREAD FRESHWATER CRUSTACEAN: PSEUDOCONGRUENCE AND CRYPTIC ENDEMISM IN THE NORTH AMERICAN DAPHNIA LAEVIS COMPLEX.

Authors:  Derek J Taylor; Terrie L Finston; Paul D N Hebert
Journal:  Evolution       Date:  1998-12       Impact factor: 3.694

7.  Potential for DNA-based identification of Great Lakes fauna: match and mismatch between taxa inventories and DNA barcode libraries.

Authors:  Anett S Trebitz; Joel C Hoffman; George W Grant; Tyler M Billehus; Erik M Pilgrim
Journal:  Sci Rep       Date:  2015-07-22       Impact factor: 4.379

  7 in total
  2 in total

1.  Evaluating the performance of DNA metabarcoding for assessment of zooplankton communities in Western Lake Superior using multiple markers.

Authors:  Christy Meredith; Joel Hoffman; Anett Trebitz; Erik Pilgrim; Sarah Okum; John Martinson; Ellen S Cameron
Journal:  Metabarcoding Metagenom       Date:  2021-07-24

2.  Comparison of Larval Fish Detections Using Morphology-Based Taxonomy versus High-Throughput Sequencing for Invasive Species Early Detection.

Authors:  Joel Christopher Hoffman; Christy Meredith; Erik Pilgrim; Anett Trebitz; Chelsea Hatzenbuhler; John Russell Kelly; Gregory Peterson; Julie Lietz; Sara Okum; John Martinson
Journal:  Can J Fish Aquat Sci       Date:  2021-01-18       Impact factor: 3.102

  2 in total

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