Bird Identifier
Identify birds by features
Identify bird species by selecting physical features like size, color, beak shape, habitat, and behavior. Narrow down possibilities from thousands of species to find your bird.
鳥を識別する
ステップ1:鳥のサイズを選択
ステップ2:主要な色を選択
ステップ3:生息地を選択
について Bird Identifier
Identify bird species by selecting physical features like size, color, beak shape, habitat, and behavior. Narrow down possibilities from thousands of species to find your bird.
注目の鳥
アオボウシインコ
Amazona aestiva
アカオノスリ
Buteo jamaicensis
イヌワシ
Aquila chrysaetos
オウギワシ
Harpia harpyja
オカメインコ
Nymphicus hollandicus
オジロワシ
Haliaeetus albicilla
コンゴウインコ
Ara macao
シロエリハゲワシ
Gyps fulvus
セキセイインコ
Melopsittacus undulatus
ハクトウワシ
Haliaeetus leucocephalus
ヘビクイワシ
Sagittarius serpentarius
Downy Woodpecker
Picoides pubescens
Anna's Hummingbird
Calypte anna
Wilson's Bird-of-paradise
Cicinnurus respublica
Northern Gannet
Morus bassanus
Laughing Kookaburra
Dacelo novaeguineae
Eurasian Eagle-Owl
Bubo bubo
Common Ostrich
Struthio camelus
Great Cormorant
Phalacrocorax carbo
Common Kingfisher
Alcedo atthis
How to Use
-
1
Select size and body shape
Begin by estimating the bird's overall size relative to familiar species like a sparrow, robin, or crow. Note the body proportions including tail length, wing shape, and whether the bird appears stocky or slender.
-
2
Choose plumage and beak features
Select the dominant colors and patterns you observe, including any distinctive markings like eye rings, wing bars, or breast streaking. Beak shape is a critical diagnostic feature—hooked beaks indicate raptors, while slender curved beaks suggest nectar feeders.
-
3
Specify habitat and behavior
Indicate the habitat type where you observed the bird and note any behavioral clues such as foraging style, flight pattern, or vocalizations. Many species are strongly associated with particular ecosystems, dramatically narrowing identification possibilities.
About
Bird identification is the foundation of ornithology and citizen science, enabling observers to document species distributions, detect population changes, and contribute to conservation planning. The discipline draws on a rich toolkit of diagnostic features—morphology, plumage, behavior, habitat association, and vocalizations—that collectively allow experienced observers to identify most species under field conditions.
Plumage patterns result from structural coloration (iridescence produced by feather microstructure) and pigment-based coloration (melanins, carotenoids, porphyrins). Sexual dichromatism, where males and females differ in appearance, evolved primarily through sexual selection and provides important clues to sex and age class. Seasonal molts complicate identification further, as many species present dramatically different breeding and non-breeding plumages. Understanding molt sequences—which feathers are replaced when—is essential for ageing birds accurately.
Modern bird identification integrates traditional field guide skills with digital tools including photographic databases, acoustic recognition software, and community science platforms that aggregate millions of sightings annually. The eBird database maintained by the Cornell Lab of Ornithology now holds over 1 billion bird occurrence records contributed by millions of observers worldwide, transforming our understanding of migration phenology, range shifts under climate change, and species abundance patterns at continental scales.