1,390
edits
Data Without Borders ICE 2016: Difference between revisions
no edit summary
No edit summary |
No edit summary |
||
| Line 40: | Line 40: | ||
|- | |- | ||
|215 | |215 | ||
| https://vimeo.com/album/4168896/video/184610211 Digitizing natural history collection specimens to investigate the future of species conservation] | | [https://vimeo.com/album/4168896/video/184610211 Digitizing natural history collection specimens to investigate the future of species conservation] | ||
::Natural history collections (NHC) are rich repositories that document our planet's ecosystems, both past and present. Within the past decade there has been a surge to revisit NHCs to digitize specimens. Digitized NHCs can provide a wealth of insight on the ecology, abundance, and distribution of rare and common bees (Hymenoptera: Anthophila). Studies on the historic abundance and distribution of bee species in particular have revealed alarming trends of population decline and local extinctions. Given the rapidly growing digital vault of bee data across multiple institutions, we will discuss how NHCs can inform the conservation of bees. However, we will also highlight some of limitations and biases of digital specimen data that must be considered when characterizing bee communities. | ::Natural history collections (NHC) are rich repositories that document our planet's ecosystems, both past and present. Within the past decade there has been a surge to revisit NHCs to digitize specimens. Digitized NHCs can provide a wealth of insight on the ecology, abundance, and distribution of rare and common bees (Hymenoptera: Anthophila). Studies on the historic abundance and distribution of bee species in particular have revealed alarming trends of population decline and local extinctions. Given the rapidly growing digital vault of bee data across multiple institutions, we will discuss how NHCs can inform the conservation of bees. However, we will also highlight some of limitations and biases of digital specimen data that must be considered when characterizing bee communities. | ||
| '''Jonathan Koch''' (jonathan.koch@usu.edu), Utah State University, Logan, UT, Joan M. Meiners and Amber D. Tripodi | | '''Jonathan Koch''' (jonathan.koch@usu.edu), Utah State University, Logan, UT, Joan M. Meiners and Amber D. Tripodi | ||