Woodland Skipper
Ochlodes sylvanoides
This record describes Ochlodes sylvanoides (species). Recorded family: Hesperiidae. Recorded order: Lepidoptera.
Identification and Appearance
Ochlodes sylvanoides, the woodland skipper, is a butterfly of the family Hesperiidae. It is found in North America from British Columbia south to southern California, east to Montana, Colorado and Arizona.
Wikipedia reference for Ochlodes sylvanoides: https://en.wikipedia.org/wiki/Ochlodes sylvanoides.
Classification
- Kingdom
- Animalia
- Phylum
- Arthropoda
- Class
- Insecta
- Order
- Lepidoptera (Butterflies and Moths)
- Superfamily
- Papilionoidea
- Family
- Hesperiidae (Skippers)
- Subfamily
- Hesperiinae
- Tribe
- Hesperiini
- Genus
- Ochlodes
Imported taxonomy record. Source availability varies; see the source references and editorial policy below.
About Butterflies and Moths: the wider group
Order-level background for Lepidoptera, the group containing Ochlodes sylvanoides. Species-specific details appear above.
Group overview
Lepidoptera includes approximately 180,000 described species of butterflies and moths. Moths outnumber butterflies roughly 10:1. The monarch butterfly's eastern population has declined by more than 80% since the mid-1990s, and the western population by over 95% since the 1980s. The IUCN lists the migratory monarch as Vulnerable.
Ecological role of the group
Butterflies and moths are essential indicators of ecosystem health. As caterpillars, they are a primary food source for birds - a single nest of blue tit chicks requires ~10,000 caterpillars. Adult moths pollinate many night-blooming plants.
Economic and practical significance of the group
Lepidoptera are critical pollinators. In Europe, grassland butterfly species have declined by almost 50% since the early 1990s. In the UK, three-quarters of butterflies are in decline. In the U.S., five butterfly species have gone extinct since 1950, with 29 listed as endangered.
Recorded sources for this group: IUCN Red List, Xerces Society, USFWS, PNAS, WWF. Imported estimates may describe particular regions or reporting periods.
