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Lepidoptera of North America Network: Difference between revisions
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''Principal Investigator:'' [mailto:mwall@sdnhm.org Michael Wall] (PI), Pamela Horsley (co-PI) | ''Principal Investigator:'' [mailto:mwall@sdnhm.org Michael Wall] (PI), Pamela Horsley (co-PI) | ||
===Enhancing LepNet: Digitization and integration of significant butterfly and moth collections from the upper Midwest Tension Zone region=== | |||
Lepidoptera (butterflies and moths) are one of the most diverse groups of organisms on the planet: worldwide there are approximately 160,000 species, including around 14,300 species in North America. Moths and butterflies are a conspicuous component of terrestrial habitats and one of the most diverse groups of plant-feeding animals worldwide. This insect group includes species of great economic importance. Their juveniles feed on plants useful to humans, including grains, cotton, tobacco, and timber and shade trees. However, many of the adults are beneficial as pollinators and are icons of conservation as evidenced by Monarch butterflies. Given their economic importance and sheer beauty, butterflies and moths are one of the most abundant insect group in museum collections, but only a fraction of the approximately 15 million specimens in non-federal collections have had their specimen label information digitally recorded and accessible to researchers and educators. This award will allow the Wisconsin Insect Research Collection (WIRC) at UW-Madison to join with the Lepidoptera of North America Network Thematic Collection Network (LepNet TCN) as a Partner to Existing Network (PEN). A floristic ?Tension Zone? separating temperate and sub-boreal biota passes through the Great Lake Region; Wisconsin contains a greater portion of this zone than any other state in which it is found. The majority of Lepidoptera specimens in the WIRC were collected in Wisconsin and their data will thus fill a significant and critical gap in our knowledge of Lepidoptera species in the upper Midwestern United States. | |||
This project will provide digitized and georeferenced data for nearly 70,000 North American Lepidoptera specimens. Currently, Wisconsin records for Lepidoptera are scarce in the LepNet SCAN portal. Inclusion of the WIRC dataset will significantly increase the number of species-level occurrences for the Great Lake Tension Zone region for most Lepidoptera superfamilies, greatly enhancing the target number of species for ecological niche modeling. Project personnel will develop and implement a workflow that involves transcribing data to add new specimen records to the WIRC?s existing Specify database. These data will be available through the LepNet SCAN portal, iDigBio.org, and GBIF.org, where they can be accessed for research, education, and public use. High-resolution images will also be generated for about 1,500 adult exemplar specimens for Lepidoptera species in and around the upper Midwest tension zone. Participating undergraduate and graduate students, as well as interns and volunteers, will be trained and mentored in databasing workflows, specimen curation, imaging, and collections-based research. | |||
''Project Sponsor'': [https://www.nsf.gov/awardsearch/showAward?AWD_ID=2001548 University of Wisconsin-Madison (NSF Award #2001548)] | |||
''Principal Investigators'': [mailto:brabant@entomology.wisc.edu Craig Brabant] (PI), Daniel Young (co-PI) | |||
===Integration of data from the UNH Insect Collection with LepNet.=== | |||
An award is made University of New Hampshire for the Don Chandler Entomological Collection (UNHC) to establish a Partner to Existing Networks (PEN) collaboration with the Lepidoptera of North America Thematic Collection Network (LepNet TCN). The LepNet TCN unlocks data from North American Lepidoptera holdings across the US that provides a baseline to track changes in species and communities, and to correlate them with climate and other human-related changes in the environment. This PEN will complement the Lepnet TCN by adding underrepresented historic New England moths and butterflies including species from the unique pitch pine / scrub oak ecosystems. The project will increase the number of currently digitized New England species in LepNet by 63 percent and the number of digitized specimens by 40 percent. Data from this project will be made available on the LepNet portal for the research community, government agencies, students, educators, and the general public. Undergraduate students will be trained in all aspects of nature history collection curation. The general public will be engaged through Bioblitz and annual Open Day events at UNHC, which includes yearly tours for visually impaired students. | |||
The 700,000 specimens of the historical and taxonomically important holdings of the Don Chandler Entomological Collection (UNHC) have been partially inaccessible to researchers and the general public, and digitization effort will increase research and public access. During this project students and technicians will image and transcribe the label information of 50,000 specimens, generate 35,000 specimen images and create the dorsal and z-stack image sets of the dorsal and ventral sides of 15,000 microlepidoptera specimens using a Macropod imaging system. This project will utilize a new, cell phone-based imaging workflow that increases the speed and accuracy of the digitization of entomological collections. Locality data for 30,000 specimens will also be georeferenced. Undergraduate students will be trained throughout this process and data recorded during this project will be integrated into undergraduate courses at the University of New Hampshire to model changes in distribution of Lepidoptera. The UNHC will display results from the proposed project in 3 public exhibits at the Spaulding Life Science Complex. Data produced by this project will be shared through the LepNet portal, iDigBio.org, and GBIF.org. | |||
''Project Sponsor'': [https://www.nsf.gov/awardsearch/showAward?AWD_ID=2001589 University of New Hampshire (NSF Award #2001589)] | |||
''Principal Investigators'': [mailto:istvan.miko@gmail.com Istvan Miko] (PI) | |||