111 results on '"Shirey, Vaughn"'
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2. Simple Machine Learning with Aerial Imagery Reveals Severe Loss of a Salt Marsh Foundation Species
3. Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge
4. Population dynamics and drivers of the eastern monarch (Danaus plexippus) across its full annual cycle: a cross-scale synthesis of a model migratory species
5. LepTraits 1.0 A globally comprehensive dataset of butterfly traits
6. Logistical and preference bias in participatory science butterfly data.
7. Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders
8. Deep computer vision reveals the mediation of thermal-melanism and body size by precipitation and sex in a threatened alpine butterfly,Parnassius smintheus
9. Reliable estimation of butterfly flight period phenology from occurrence records
10. Exploring Prescribed Fire Severity Effects on Ground Beetle (Coleoptera: Carabidae) Taxonomic and Functional Community Composition
11. Species-specific ecological traits, phylogeny, and geography underpin vulnerability to population declines for North American birds
12. Species-specific ecological traits, phylogeny, and geography underpin vulnerability to population declines for North American birds.
13. Rising minimum temperatures contribute to 50 years of occupancy decline among cold‐adapted Arctic and boreal butterflies in North America.
14. Selection on size has generated distinctive paired wing flight systems for butterfly flight and migration
15. A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins
16. Rising minimum temperatures contribute to 50 years of shifting Arctic and boreal butterfly communities in North America
17. A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins
18. A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins
19. A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins
20. Simple Machine Learning with Aerial Imagery Reveals Severe Loss of a Salt Marsh Foundation Species
21. Predicting Spring Phenology in Deciduous Broadleaf Forests: An Open Community Forecast Challenge
22. Predicting Spring Phenology in Deciduous Broadleaf Forests: Neon Phenology Forecasting Community Challenge
23. Taxonomic and Functional Community Composition of Ground Beetles (Coleoptera: Carabidae) Changes with Prescribed Fire Severity
24. Phenological research based on natural history collections: Practical guidelines and a lepidopteran case study
25. A protocol for reproducible functional diversity analyses
26. Occupancy–detection models with museum specimen data: Promise and pitfalls
27. Author response for 'Occupancy-detection models with museum specimen data: Promise and pitfalls'
28. Evolution and Diversification Dynamics of Butterflies
29. Utilizing occupancy-detection models with museum specimen data: promise and pitfalls
30. Occupancy–detection models with museum specimen data: Promise and pitfalls.
31. Phenological research based on natural history collections: Practical guidelines and a lepidopteran case study.
32. A protocol for reproducible functional diversity analyses
33. Responses from bees, butterflies, and ground beetles to different fire and site characteristics: A global meta-analysis
34. Method matters: pitfalls in analysing phenology from occurrence records
35. A complete inventory of North American butterfly occurrence data: narrowing data gaps, but increasing bias
36. Method matters: pitfalls in analyzing phenology from occurrence records
37. Early Evidence for Sexually Dimorphic, Ultraviolet Eyespots in Parnassius Smintheus, Doubleday, [1847]
38. Closing Gaps But Increasing Bias In North American Butterfly Inventory Completeness
39. Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders
40. Figure 1 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264
41. Figure 4 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264
42. Figure 2 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264
43. Figure 6 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264
44. Figure 3 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264
45. Figure 7 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264
46. Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae)
47. Figure 5 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264
48. Figure 8 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264
49. Figure 4 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
50. Supplementary material 4 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
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