Published March 25, 2025 | Version v1

CanFlyet: habitat zone and diet trait dataset for Diptera species of Canada and Greenland

  • 1. University of Guelph, Guelph, Canada
  • 2. Biodiversity Institute of Ontario, Guelph, Guelph, Canada

Description

Flies (Diptera) are an ecologically important group that play a role in agriculture, public health and ecosystem functioning. As researchers continue to investigate this order, it is beneficial to link the growing occurrence data to biological traits. However, large-scale ecological trait data are not readily available for fly species. While some databases and datasets include fly data, many ecologically relevant traits for taxa of interest are not included. In this study, we create a dataset containing ecological traits (habitat and diet) for fly species of Canada and Greenland having occurrence records on the Barcode of Life Data Systems (BOLD). We present a dataset containing trait information from the literature for 981 Diptera species.

Diptera species were chosen for the dataset, based on the occurrence records available for Diptera species from Canada and Greenland on the Barcode of Life Data System (BOLD). Trait data were then compiled and digitised in a standardised format, based on 667 works from literature published before April 2024. Traits were assigned at the lowest taxonomic level available. Three biological traits were included: larval habitat, larval diet type and adult diet. The dataset contains traits for 981 species across 380 genera, 34 subfamilies and 61 families. This dataset allows for assignment of traits to occurrence data for Diptera species and can be used for further research into the ecology, evolution and conservation of this order.

Files

BDJ_article_129610.pdf

Files (579.0 kB)

Name Size Download all
md5:b4a7a3a8c9ff37738269455f80d9750f
579.0 kB Preview Download

System files (152.4 kB)

Name Size Download all
md5:71b493f9838db604225304f13ae6f00e
152.4 kB Download

Linked records

Additional details

References

  • Adler PH, Courtney GW (2019) Ecological and societal services of aquatic Diptera. Insects 10 (3): 70. https://doi.org/10.3390/insects10030070
  • Baloğlu B, Clews E, Meier R (2018) NGS barcoding reveals high resistance of a hyperdiverse chironomid (Diptera) swamp fauna against invasion from adjacent freshwater reservoirs. Frontiers in Zoology 15 (1): 31. https://doi.org/10.1186/s12983-018-0276-7
  • Barnagaud J, Kissling WD, Sandel B, Eiserhardt WL, Şekercioğlu CH, Enquist BJ, Tsirogiannis C, Svenning J (2014) Ecological traits influence the phylogenetic structure of bird species co-occurrences worldwide. Ecology Letters 17 (7): 811‑820. https://doi.org/10.1111/ele.12285
  • Bedini S, Flamini G, Cosci F, Ascrizzi R, Echeverria MC, Guidi L, Landi M, Lucchi A, Conti B (2017) Artemisia spp. essential oils against the disease-carrying blowfly Calliphora vomitoria. Parasites & Vectors 10 (1): 80. https://doi.org/10.1186/s13071-017-2006-y
  • Bragard C, Dehnen‐Schmutz K, Di Serio F, Gonthier P, Jacques M, Miret JA, Justesen AF, Magnusson CS, Milonas P, Navas‐Cortes JA, Parnell S, Potting R, Reignault PL, Thulke H, Van der Werf W, Civera AV, Yuen J, Zappalà L, Czwienczek E, Streissl F, MacLeod A (2020) Pest categorisation of Liriomyza bryoniae. EFSA Journal 18 (3). https://doi.org/10.2903/j.efsa.2020.6038
  • Coulthard E, Norrey J, Shortall C, Harris WE (2019) Ecological traits predict population changes in moths. Biological Conservation 233: 213‑219. https://doi.org/10.1016/j.biocon.2019.02.023
  • Darwin Core Maintenance Group (2023) Darwin Core List of Terms. Biodiversity Information Standards (TDWG). http://rs.tdwg.org/dwc/doc/list/2023-09-18
  • De Palma A, Kuhlmann M, Roberts SP, Potts SG, Börger L, Hudson LN, Lysenko I, Newbold T, Purvis A (2015) Ecological traits affect the sensitivity of bees to land-use pressures in European agricultural landscapes. Journal of Applied Ecology 52 (6): 1567‑1577. https://doi.org/10.1111/1365-2664.12524
  • deWaard JR, Levesque-Beaudin V, deWaard SL, Ivanova NV, McKeown JT, Miskie R, Naik S, Perez KH, Ratnasingham S, Sobel CN, Sones JE, Steinke C, Telfer AC, Young AD, Young MR, Zakharov EV, Hebert PD (2018) Expedited assessment of terrestrial arthropod diversity by coupling Malaise traps with DNA barcoding. Genome 62 (3): 85‑95. https://doi.org/10.1139/gen-2018-0093
  • Freire J,G, Silva T, Oliveira H, Collier C, Rodrigues HP, Dias JP, Santos JP, Marini-Filho OJ, Freitas AV, Smilanich AM, Dyer LA, Diniz IR (2021) Good things come in larger packages: Size matters for adult fruit-feeding butterfly dispersal and larval diet breadth. Diversity 13 (12): 664. https://doi.org/10.3390/d13120664
  • GBIF.org (2024) GBIF Home Page. https://www.gbif.org. Accessed on: 2024-5-28.
  • Geiger MF, Moriniere J, Hausmann A, Haszprunar G, Wägele W, Hebert PD, Rulik B (2016) Testing the Global Malaise Trap Pogram-How well does the current barcode reference library identify flying insects in Germany? Biodiversity Data Journal 4 (4). https://doi.org/10.3897/BDJ.4.e10671
  • Global Malaise Trap Program (2023) Global Malaise Trap Program. http://globalmalaise.org/homecopy/
  • Gossner MM, Simons NK, Achtziger R, Blick T, Dorow WH, Dziock F, Köhler F, Rabitsch W, Weisser WW (2015) A summary of eight traits of Coleoptera, Hemiptera, Orthoptera and Araneae, occurring in grasslands in Germany. Scientific Data 2 (1). https://doi.org/10.1038/sdata.2015.13
  • Hagge J, Müller J, Birkemoe T, Buse J, Christensen RH, Gossner MM, Gruppe A, Heibl C, Jarzabek-Müller A, Seibold S, Siitonen J, Soutinho JG, Sverdrup-Thygeson A, Thorn S, Drag L (2021) What does a threatened saproxylic beetle look like? Modelling extinction risk using a new morphological trait database. Journal of Animal Ecology 90 (8): 1934‑1947. https://doi.org/10.1111/1365-2656.13512
  • Hebert PD, Cywinska A, Ball SL, DeWaard JR (2003) Biological identifications through DNA barcodes. Proceedings of the Royal Society B: Biological Sciences 270 (1512): 313‑321. https://doi.org/10.1098/rspb.2002.2218
  • Herberstein ME, McLean DJ, Lowe E, Wolff JO, Khan MK, Smith K, Allen AP, Bulbert M, Buzatto BA, Eldridge MD, Falster D, Winzer LF, Griffith SC, Madin JS, Narendra A, Westoby M, Whiting MJ, Wright IJ, Carthey AJ (2022) AnimalTraits – a curated animal trait database for body mass, metabolic rate and brain size. Scientific Data 9 (1): 265. https://doi.org/10.1038/s41597-022-01364-9
  • Hörren T, Sorg M, Hallmann CA, Zizka VM, Ssymank A, Noll NW, Schäffler L, Scherber C (2022) A universal insect trait tool (ITT, v1.0) for statistical analysis and evaluation of biodiversity research data. bioRxiv https://doi.org/10.1101/2022.01.25.477751
  • Kraft NJ, Ackerly DD (2010) Functional trait and phylogenetic tests of community assembly across spatial scales in an Amazonian forest. Ecological Monographs 80 (3): 401‑422. https://doi.org/10.1890/09-1672.1
  • Lin X, Stur E, Ekrem T (2015) Exploring genetic divergence in a species-rich insect genus using 2790 DNA barcodes. PLoS One 10 (9). https://doi.org/10.1371/journal.pone.0138993
  • Majoros SE, Adamowicz SJ, Cottenie K (2023) Novel pipeline for large-scale comparative population genetics. bioRxiv https://doi.org/10.1101/2023.01.23.524574
  • Marshall SA (2012) Flies. The natural history and diversity of Diptera. Firefly Books Ltd.
  • May JA, Feng Z, Orton MG, Adamowicz SJ (2020) The effects of ecological traits on the rate of molecular evolution in ray-finned fishes: a multivariable approach. Journal of Molecular Evolution 88 (8-9): 689‑702. https://doi.org/10.1007/s00239-020-09967-9
  • Mesmin X, Vincent M, Tricault Y, Estorgues V, Daniel L, Cortesero A, Faloya V, Le Ralec A (2019) Assessing the relationship between pest density and plant damage: a case study with the belowground herbivore Delia radicum (Diptera: Anthomyiidae) on broccoli. Applied Entomology and Zoology 54 (2): 155‑165. https://doi.org/10.1007/s13355-019-00607-3
  • Middleton-Welling J, Dapporto L, García-Barros E, Wiemers M, Nowicki P, Plazio E, Bonelli S, Zaccagno M, Šašić M, Liparova J, Schweiger O, Harpke A, Musche M, Settele J, Schmucki R, Shreeve T (2020) A new comprehensive trait database of European and Maghreb butterflies, Papilionoidea. Scientific Data 7 (1): 351. https://doi.org/10.1038/s41597-020-00697-7
  • Molinatto G, Demichelis S, Bodino N, Giorgini M, Mori N, Bosco D (2020) Biology and prevalence in Northern Italy of Verrallia aucta (Diptera, Pipunculidae), a parasitoid of Philaenus spumarius (Hemiptera, Aphrophoridae), the main vector of Xylella fastidiosa in Europe. Insects 11 (9): 607. https://doi.org/10.3390/insects11090607
  • Olafson PU, Aksoy S, Attardo GM, Buckmeier G, Chen X, Coates CJ, Davis M, Dykema J, Emrich SJ, Friedrich M, Holmes CJ, Ioannidis P, Jansen EN, Jennings EC, Lawson D, Martinson EO, Maslen GL, Meisel RP, Murphy TD, Nayduch D, Nelson DR, Oyen KJ, Raszick TJ, Ribeiro JM, Robertson HM, Rosendale AJ, Sackton TB, Saelao P, Swiger SL, Sze S, Tarone AM, Taylor DB, Warren WC, Waterhouse RM, Weirauch MT, Werren JH, Wilson RK, Zdobnov EM, Benoit JB (2021) The genome of the stable fly, Stomoxys calcitrans, reveals potential mechanisms underlying reproduction, host interactions, and novel targets for pest control. BMC Biology 19 (1): 41. https://doi.org/10.1186/s12915-021-00975-9
  • Parr CL, Dunn RR, Sanders NJ, Weiser MD, Photakis M, Bishop TR, Fitzpatrick MC, Arnan X, Baccaro F, Brandão CR, Chick L, Donoso DA, Fayle TM, Gómez C, Grossman B, Munyai TC, Pacheco R, Retana J, Robinson A, Sagata K, Silva RR, Tista M, Vasconcelos H, Yates M, Gibb H (2016) GlobalAnts: a new database on the geography of ant traits (Hymenoptera: Formicidae). Insect Conservation and Diversity 10 (1): 5‑20. https://doi.org/10.1111/icad.12211
  • Rainford JL, Mayhew PJ (2015) Diet evolution and clade richness in Hexapoda: a phylogenetic study of higher taxa. The American Naturalist 186 (6): 771‑791. https://doi.org/10.1086/683461
  • Ratnasingham S, Hebert PD (2007) Bold: the barcode of life data system. Molecular Ecology Notes 7 (3): 355‑364. https://doi.org/10.1111/j.1471-8286.2007.01678
  • Ratnasingham S, Hebert PD (2013) A DNA-based registry for all animal species: The Barcode Index Number (BIN) system. PLOS ONE 8 (7).
  • R Core Team (2023) R: A language and environment for statistical computing. http://www.R-project.org/
  • Sarremejane R, Cid N, Stubbington R, Datry T, Alp M, Cañedo-Argüelles M, Cordero-Rivera A, Csabai Z, Gutiérrez-Cánovas C, Heino J, Forcellini M, Millán A, Paillex A, Pařil P, Polášek M, Tierno de Figueroa JM, Usseglio-Polatera P, Zamora-Muñoz C, Bonada N (2020) DISPERSE, a trait database to assess the dispersal potential of European aquatic macroinvertebrates. Scientific Data 7 (1): 386. https://doi.org/10.1038/s41597-020-00732-7
  • Schliep KP (2011) phangorn: phylogenetic analysis in R. Bioinformatics 27 (4): 592‑593. https://doi.org/10.1093/bioinformatics/btq706
  • Shamshad A (2010) The development of integrated pest management for the control of mushroom sciarid flies, Lycoriella ingenua (Dufour) and Bradysia ocellaris (Comstock), in cultivated mushrooms. Pest Management Science 66 (10): 1063‑1074. https://doi.org/10.1002/ps.1987
  • Shirey V, Larsen E, Doherty A, Kim CA, Al-Sulaiman FT, Hinolan JD, Itliong MG, Naive MA, Ku M, Belitz M, Jeschke G, Barve V, Lamas G, Kawahara AY, Guralnick R, Pierce NE, Lohman DJ, Ries L (2022) LepTraits 1.0 A globally comprehensive dataset of butterfly traits. Scientific Data 9 (1): 382. https://doi.org/10.1038/s41597-022-01473-5
  • Tiusanen M, Hebert PD, Schmidt NM, Roslin T (2016) One fly to rule them all – muscid flies are the key pollinators in the Arctic. Proceedings of the Royal Society: Biological Sciences 283 (1839). https://doi.org/10.1098/rspb.2016.1271
  • Twardochleb L, Hiltner E, Pyne M, Zarnetske P (2021) Freshwater insects CONUS: A database of freshwater insect occurrences and traits for the contiguous United States. Global Ecology and Biogeography 30 (4): 826‑841. https://doi.org/10.1111/geb.13257
  • United States Environmental Protection Agency (2012) Freshwater Biological Trait Database. (Report No. EPA/600/R-11/038F). https://cfpub.epa.gov/ncea/global/recordisplay.cfm?deid=241813
  • van der Plas F, van Klink R, Manning P, Olff H, Fischer M (2017) Sensitivity of functional diversity metrics to sampling intensity. Methods in Ecology and Evolution 8 (9): 1072‑1080. https://doi.org/10.1111/2041-210X.12728
  • Vieira NK, Poff NL, Carlisle DM, Moulton II SR, Koski ML, Kondratieff BC (2006) A database of lotic invertebrate traits for North America. United States Geographical Survey URL: https://pubs.usgs.gov/ds/ds187/pdf/ds187.pdf
  • Waller JT, Willink B, Tschol M, Svensson EI (2019) The odonate phenotypic database, a new open data resource for comparative studies of an old insect order. Scientific Data 6 (1): 316. https://doi.org/10.1038/s41597-019-0318-9
  • Wearing CH, Marshall RR, Attfield B, Colhoun C (2013) Phenology and distribution of the apple leafcurling midge (Dasineura mali (Kieffer)) (Diptera: Cecidomyiidae) and its natural enemies on apples under biological and integrated pest management in Central Otago, New Zealand. New Zealand Entomologist 36 (2): 87‑106. https://doi.org/10.1080/00779962.2012.712887
  • Yu G, Smith D, Zhu H, Guan Y, Lam TT (2017) ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution 8 (1): 28‑36. https://doi.org/10.1111/2041-210X.12628
  • Zhang J, Swenson NG, Liu J, Liu M, Qiao X, Jiang M (2020) A phylogenetic and trait-based analysis of community assembly in a subtropical forest in central China. Ecology and Evolution 10 (15): 8091‑8104. https://doi.org/10.1002/ece3.6465