| 接受的学名: |
Balaenoptera physalus
(Linnaeus, 1758)
|
| 科技资源标识 |
|
| 中文名： |
长须鲸
(cháng xū jīng)
|
| 异名: |
Balaenoptera patagonica
(synonym)
Balaenoptera mediterraneensis
(synonym)
Balaena sulcata
(synonym)
Rorqualus musculus
(synonym)
Balaenoptera swinhoii
(synonym)
Physalus patachonicus
(synonym)
Balaena antiquorum
(synonym)
Balaenoptera rorqual
(synonym)
Balaena antipodarum
(synonym)
Balaenopteris guibusdam
(synonym)
Balaenoptera mediterranensis
(synonym)
Balaena quoyi
(synonym)
Physalus australis
(synonym)
Balaenoptera patachonicus
(synonym)
Balaena physalis
(synonym)
Balaenoptera blythii
(synonym)
Physalus verus
(synonym)
Physalis vulgaris
(synonym)
Physalus fasciatus
(synonym)
Pterobalaena communis
(synonym)
Sibbaldius tectirostris
(synonym)
Physalus brasiliensis
(synonym)
Balaenoptera velifera copei
(synonym)
Balaena physalus
(synonym)
Sibbaldius tuberosus
(synonym)
Balaenoptera quoyii
(synonym)
Physalus antarcticus
(synonym)
Balaenoptera sulcata arctica
(synonym)
Balaenoptera australis
(synonym)
Balaenoptera musculus
(synonym)
Benedenia knoxii
(synonym)
Swinhoia chinensis
(synonym)
Dubertus rhodinsulensis
(synonym)
Balaenoptera velifera
(synonym)
Balaena boops
(synonym)
Balaena mysticetus major
(synonym)
Balaenoptera patachonica
(synonym)
Balaenoptera brasiliensis
(synonym)
Balaenoptera antarctica
(synonym)
Balaenoptera gibbar
(synonym)
|
| 别名: |
长篑鲸
(cháng kuì jīng)
Chinese
Fin Whale
English
鳍鲸
(qí jīng)
Chinese
长皱鲸
(cháng zhòu jīng)
Chinese
|
| 分类系统: |
界
Animalia -
动物界
(
dòng wù jiè
)
门
Chordata -
脊索动物门
(
jǐ suǒ dòng wù mén
)
纲
Mammalia -
哺乳纲
(
bǔ rǔ gāng
)
目
CETARTIODACTYLA -
鲸偶蹄目
(
jīng ǒu tí mù
)
科
Balaenopteridae -
须鲸科
(
xū jīng kē
)
属
Balaenoptera -
须鲸属
(
xū jīng shǔ
)
|
| 分布地: |
South China sea,Eastern China Sea,Liaoning,Zhejiang,Hongkong,BoHai Sea,Taiwan,Jiangsu,Shandong,Yellow Sea,Fujian,Hainan
|
| 分布地(中文): |
黄海,山东省,东海,福建省,浙江省,海南省,江苏省,辽宁省,南海,台湾省,香港特别行政区,渤海
|
| 省级分布地图 |
|
| 附加信息: |
|
| 源数据库: |
China Animal Scientific Database
, 2024
|
| 审核专家: |
Wei FuWen(魏辅文)
Hu YiBo(胡义波)
|
| 审核日期: |
2023-04-24
|
|
数据质量：
|
|
