Big Bee indexed biotic interactions and review summary

• Main Authors: Seltmann, Katja C., Poelen, Jorrit H.
• Format: Dataset
• Language: unknown
• Published: Zenodo 2022
• Subjects: bee, Anthophila, species interactions, Global Biotic Interactions, ADBC; Canada; Greenland; Argentina; Gonzalez; Chandler; Guernsey; Portal The
• Online Access: https://dx.doi.org/10.5281/zenodo.5911982; https://zenodo.org/record/5911982

This version has been replaced by: Seltmann, Katja C., & Poelen, Jorrit H. (2022). Big Bee indexed biotic interactions and review summary (0.2.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5915003 Extending Anthophila research through image and trait digitization (Big-Bee) indexed biotic interactions and review summary. Declining populations of bees impact plant-pollinator interactions in both natural and agricultural systems. While bees and other insects pollinate most wild plants and are critical to sustaining a large proportion of global food production, they are decreasing in both numbers and diversity. Our understanding of the factors driving these declines is limited because we lack sufficient data on the distribution of bee species, and on the behavioral and anatomical traits that may make them either vulnerable or resilient to human-induced environmental changes, such as habitat loss and climate change. Fortunately, wild bees have been collected by researchers and deposited in natural history collections for over 100 years, retaining a wealth of associated attributes that can be extracted from specimen images. This project will digitally capture data and images from these historic specimens, develop tools to measure bee traits from these images and generate a comprehensive bee trait and image dataset to measure changes through time. This will increase our understanding of specific traits that put bee species at risk of decline - a critical need for both sustaining our agricultural economy and the conservation of our natural resources. In addition, the large image datasets created by this project can be used for new artificial intelligence identification tools that will help improve our future pollinator observation and monitoring efforts. The Big-Bee project began in 2021 and is funded by the National Science Foundation to mobilize data about worldwide bee species to data aggregators (e.g., iDigBio, GBIF). The Big-Bee Thematic Collection Network (Big-Bee) will create over one million high-resolution 2D and 3D images of bee specimens, representing over 5,000 worldwide bee species, including all of the major pollinating species of the United States. The Big-Bee network includes 13 institutions and partnerships with US government agencies. Novel mechanisms for sharing image datasets will be developed and datasets of bee traits will be available through an open data portal, the Bee Library, for research and education. The Big-Bee project will engage the general public in research through community science via crowdsourcing trait measurements and data transcription from images. In addition, training and professional development for natural history collection staff, researchers, and university students in data science will be provided through the creation and implementation of workshops focusing on bee traits and species identification. All data resulting from this award will be shared with and publicly available through the national digitized biocollections resource, iDigBio.org. This is the first archive of Big-Bee data indexed by Global Biotic Interactions (GloBI). GloBI provides open access to finding species interaction data (e.g., predator-prey, pollinator-plant, pathogen-host, parasite-host) by combining existing open datasets using open-source software. This version of the Big Bee dataset includes interactions that are not just bees. Also in this version, the datasets included in this publication are specifically those institutions in the Big Bee project network and do not represent all bee interaction data found at Global Biotic Interactions. Bee Library Information - Statistics about Big Bee data providers The specimens indexed by GloBI are also found on the Bee Library. To date, the number of specimens and images in the library are listed below. The Bee Library taxonomic backbone is not yet complete, so information regarding the number of species is not yet available. From Bee Library (partner indexed records) 1,154,543 occurrence records 941,176 (82%) georeferenced 306,683 (27%) occurrences imaged 602,211 (52%) identified to species 8 families 327 genera 5,789 species 6,058 total taxa (including subsp. and var.) Collection Occurrences Georeferenced Imaged Species ID Families Genera Species Total Taxa Interactions Indexed in GloBI (all) Interactions Indexed in GloBI (bees) ASU Hasbrouck Insect Collection - Bee Records 8538 8538 116 4917 5 44 184 193 6214 0 Bee Biology and Systematics Laboratory, USDA-ARS Pollinating Insect-Biology, Management, Systematics Research 561820 547461 0 527493 7 282 4484 4697 0 0 California Academy of Sciences 805 254 0 800 3 5 5 5 15438 0 California Academy of Sciences - Type Collection 1838 52 77 1490 6 98 1433 1433 0 0 Essig Museum of Entomology, University of California Berkeley 58490 54965 0 20016 5 61 418 444 0 0 Florida State Collection of Arthropods 0 0 0 0 0 0 0 0 0 0 Museum of Comparative Zoology, Harvard University 10034 9806 820 8106 7 95 544 570 4046 0 Natural History Museum of Los Angeles County 2057 15 0 1945 7 34 119 119 0 0 San Diego Natural History Museum Entomology Department 2153 1612 0 1346 5 38 137 151 7021 8 University of California Santa Barbara Invertebrate Zoology Collection 8187 7935 1278 4002 6 46 110 113 1754 77 University of Colorado Museum of Natural History, Entomology Collection 18043 18043 0 15236 6 53 274 294 9589 4723 University of Kansas Natural History Museum Entomology Division 464795 275004 304392 0 6 0 0 0 0 0 University of Michigan Museum of Zoology Division of Insects 0 0 0 0 0 0 0 0 94489 0 University of New Hampshire, Donald S. Chandler Entomological Collection 17685 17393 0 16860 6 56 418 424 3137 3137 USGS Native Bee Inventory and Monitoring Lab 98 98 0 0 0 0 0 0 0 0 Statistics based on partner collections Names SpecimenCount GeorefCount IDCount IDGeorefCount GeorefPercent IDPercent IDGeorefPercent Andrenidae 193278 176926 117440 115479 92 61 60 Apidae 430764 312766 159591 149706 73 37 35 Apoidea 5 0 0 0 0 0 0 Colletidae 63695 47541 29433 28878 75 46 45 Halictidae 251605 218944 156160 152885 87 62 61 Megachilidae 201014 171972 130798 126344 86 65 63 Melittidae 11651 10755 8776 8692 92 75 75 Stenotritidae 22 22 13 13 100 59 59 Country Specimens Georeferenced Species ID Georeferenced and Species ID [Higher geography: has not been verified and entered] 168 0% 76% 0% Afghanistan 1,005 47% 3% 3% Albania 7 43% 0% 0% Algeria 183 47% 4% 4% Andorra 6 50% 0% 0% Angola 782 90% 1% 1% Antigua and Barbuda 3 100% 0% 0% Argentina 21,974 64% 13% 13% Arizona 1 0% 0% 0% Armenia 48 52% 0% 0% Aruba 2 100% 0% 0% Australia 11,317 17% 11% 11% Austria 4,693 26% 2% 1% Azerbaijan 34 88% 0% 0% Bahamas 126 29% 73% 9% Bangladesh 7 29% 29% 29% BAR 3 100% 0% 0% Barbados 5 80% 80% 80% Belgium 37 84% 0% 0% Belize 340 89% 44% 44% Benin 8 100% 0% 0% Bermuda 1 0% 0% 0% Bhutan 10 60% 0% 0% Bolivia 16,161 45% 16% 16% Bosnia and Herzegovina 51 4% 0% 0% Botswana 71 61% 18% 13% Brasil 3 67% 100% 67% Brazil 27,655 60% 4% 4% British Virgin Islands 4 50% 0% 0% Brunei 18 6% 0% 0% Bulgaria 803 61% 0% 0% Burkina Faso 8 0% 0% 0% Burundi 5 0% 0% 0% California 2 0% 0% 0% Cambodia 2 0% 0% 0% Cameroon 1,124 6% 3% 3% Canada 14,906 94% 25% 24% Cape Verde 19 37% 0% 0% Central African Republic 116 84% 46% 30% Chad 5 0% 0% 0% CHILE 4 100% 100% 100% Chile 10,950 42% 19% 19% CHINA 34 97% 100% 97% China 692 53% 0% 0% Christmas Island 3 0% 0% 0% Colombia 5,994 43% 7% 5% Commonwealth of the Bahamas 31 16% 100% 16% Comoros 3 0% 0% 0% Congo 1 100% 100% 100% Congo, the Democratic Republic of the 1 0% 0% 0% COS 2 100% 100% 100% Costa Rica 38,010 79% 60% 59% Croatia 713 65% 7% 6% Cuba 307 47% 3% 3% Cyprus 514 68% 3% 3% Czech Republic 4,594 61% 1% 1% Democratic Republic of Congo 55 75% 95% 69% Democratic Republic of the Congo 685 40% 3% 3% Denmark 27 44% 52% 44% Dominica 5 20% 20% 20% Dominican Republic 34 38% 32% 32% Ecuador 3,967 64% 14% 11% Ecuador/Peru 3 100% 100% 100% Egypt 1,494 60% 19% 18% El Salvador 358 40% 4% 1% Eritrea 3 0% 0% 0% Estonia 1 0% 0% 0% Ethiopia 81 25% 20% 6% Federated States of Micronesia 3 33% 33% 33% Fiji 7 0% 14% 0% Fiji Islands 277 21% 0% 0% Finland 284 62% 2% 2% Florida 16 100% 0% 0% France 739 95% 22% 21% French Guiana 6,748 38% 4% 4% French Polynesia 35 66% 49% 34% Gabon 121 13% 60% 8% Gambia 7 43% 71% 43% Georgia 6 100% 0% 0% Germany 455 56% 12% 10% Ghana 111 36% 21% 20% Great Britain 5,179 98% 0% 0% Greece 2,004 91% 10% 9% Greenland 2 0% 0% 0% Grenada 4 50% 25% 25% Guadeloupe 35 100% 0% 0% Guatemala 1,503 72% 10% 9% Guernsey 5 0% 0% 0% Guyana 837 86% 6% 6% Haiti 22 : {"references": ["Seltmann KC, Allen J, Brown BV, Carper A, Engel MS, Franz N, Gilbert E, Grinter C, Gonzalez VH, Horsley P, Lee S, Maier C, Miko I, Morris P, Oboyski P, Pierce NE, Poelen J, Scott VL, Smith M, Talamas EJ, Tsutsui ND, Tucker E (2021) Announcing Big-Bee: An initiative to promote understanding of bees through image and trait digitization. Biodiversity Information Science and Standards 5: e74037. https://doi.org/10.3897/biss.5.74037", "Poelen JH, Simons JD and Mungall CH. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2014.08.005.", "Poelen JH, Kuhn T, & Leinweber K. (2020). globalbioticinteractions/elton 0.9.6 (0.9.6). Zenodo. https://doi.org/10.5281/zenodo.3776831"]}