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- Publisher Website: 10.1007/s11427-018-9419-2
- Scopus: eid_2-s2.0-85063284852
- PMID: 30900164
- WOS: WOS:000467172000006
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Article: A spatialized digital database for all bird species in China
Title | A spatialized digital database for all bird species in China |
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Authors | |
Keywords | birds database biodiversity China distribution |
Issue Date | 2019 |
Citation | Science China Life Sciences, 2019, v. 62 n. 5, p. 661-667 How to Cite? |
Abstract | © 2019, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature. The lack of refined spatial detail on bird distribution in China has hindered further research due to the large geographic unit (provincial level) in existing national bird distribution data. Based on multi-source bird distribution data, we built a more spatially detailed distribution database for every bird species (1,371 species) in China, covering 2,908 counties. The sources on bird distribution are grouped into six categories: Handbooks, Literature; Fauna, Avifauna; Paper; Citizen Science data by ornithologists or birders; GPS tracing; and Website data. The database contains the following records: taxonomy, distribution data, suspicious species information, and data sources. Our database recorded 835 species (61%) appearing outside the distribution range previously known. The use of provincial boundaries as the smallest geographical unit has created misleading distribution results due to geographic aggregation for most species. The new database was built based on increased observational frequency and individuals observed in previously undetected areas particularly in Western China and towards higher altitudes and latitudes. They coincided with the discovery of the range expansion of some waterfowls into Xinjiang. The dataset provides a new base for Chinese and international ornithology studies, especially for those requiring more detailed distribution information for many taxa and large-scale regional research. |
Persistent Identifier | http://hdl.handle.net/10722/296872 |
ISSN | 2021 Impact Factor: 10.372 2020 SCImago Journal Rankings: 1.143 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Dai, Shuang | - |
dc.contributor.author | Feng, Duole | - |
dc.contributor.author | Chan, Karen Kie Yan | - |
dc.contributor.author | Gong, Peng | - |
dc.contributor.author | Xu, Bing | - |
dc.date.accessioned | 2021-02-25T15:16:52Z | - |
dc.date.available | 2021-02-25T15:16:52Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Science China Life Sciences, 2019, v. 62 n. 5, p. 661-667 | - |
dc.identifier.issn | 1674-7305 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296872 | - |
dc.description.abstract | © 2019, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature. The lack of refined spatial detail on bird distribution in China has hindered further research due to the large geographic unit (provincial level) in existing national bird distribution data. Based on multi-source bird distribution data, we built a more spatially detailed distribution database for every bird species (1,371 species) in China, covering 2,908 counties. The sources on bird distribution are grouped into six categories: Handbooks, Literature; Fauna, Avifauna; Paper; Citizen Science data by ornithologists or birders; GPS tracing; and Website data. The database contains the following records: taxonomy, distribution data, suspicious species information, and data sources. Our database recorded 835 species (61%) appearing outside the distribution range previously known. The use of provincial boundaries as the smallest geographical unit has created misleading distribution results due to geographic aggregation for most species. The new database was built based on increased observational frequency and individuals observed in previously undetected areas particularly in Western China and towards higher altitudes and latitudes. They coincided with the discovery of the range expansion of some waterfowls into Xinjiang. The dataset provides a new base for Chinese and international ornithology studies, especially for those requiring more detailed distribution information for many taxa and large-scale regional research. | - |
dc.language | eng | - |
dc.relation.ispartof | Science China Life Sciences | - |
dc.subject | birds | - |
dc.subject | database | - |
dc.subject | biodiversity | - |
dc.subject | China | - |
dc.subject | distribution | - |
dc.title | A spatialized digital database for all bird species in China | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11427-018-9419-2 | - |
dc.identifier.pmid | 30900164 | - |
dc.identifier.scopus | eid_2-s2.0-85063284852 | - |
dc.identifier.volume | 62 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 661 | - |
dc.identifier.epage | 667 | - |
dc.identifier.isi | WOS:000467172000006 | - |
dc.identifier.issnl | 1674-7305 | - |