Journal article 1097 views
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species
Gail Schofield,
Alexandra Dimadi,
Sabrina Fossette,
Kostas A. Katselidis,
Drosos Koutsoubas,
Martin K. S. Lilley,
Adrian Luckman
,
John D. Pantis,
Amalia D. Karagouni,
Graeme C. Hays,
Reuben Keller
Diversity and Distributions, Volume: 19, Issue: 7, Pages: 834 - 844
Swansea University Author:
Adrian Luckman
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1111/ddi.12077
Abstract
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species
| Published in: | Diversity and Distributions |
|---|---|
| Published: |
2013
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa21916 |
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2015-06-03T02:09:48Z |
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2018-02-09T04:59:51Z |
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SURis |
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2015-06-02T15:28:54.1485337 v2 21916 2015-06-02 Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species 008cb668b2671b653a88677f075799a9 0000-0002-9618-5905 Adrian Luckman Adrian Luckman true false 2015-06-02 BGPS Journal Article Diversity and Distributions 19 7 834 844 31 12 2013 2013-12-31 10.1111/ddi.12077 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2015-06-02T15:28:54.1485337 2015-06-02T13:55:10.3017337 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Gail Schofield 1 Alexandra Dimadi 2 Sabrina Fossette 3 Kostas A. Katselidis 4 Drosos Koutsoubas 5 Martin K. S. Lilley 6 Adrian Luckman 0000-0002-9618-5905 7 John D. Pantis 8 Amalia D. Karagouni 9 Graeme C. Hays 10 Reuben Keller 11 |
| title |
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species |
| spellingShingle |
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species Adrian Luckman |
| title_short |
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species |
| title_full |
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species |
| title_fullStr |
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species |
| title_full_unstemmed |
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species |
| title_sort |
Satellite tracking large numbers of individuals to infer population level dispersal and core areas for the protection of an endangered species |
| author_id_str_mv |
008cb668b2671b653a88677f075799a9 |
| author_id_fullname_str_mv |
008cb668b2671b653a88677f075799a9_***_Adrian Luckman |
| author |
Adrian Luckman |
| author2 |
Gail Schofield Alexandra Dimadi Sabrina Fossette Kostas A. Katselidis Drosos Koutsoubas Martin K. S. Lilley Adrian Luckman John D. Pantis Amalia D. Karagouni Graeme C. Hays Reuben Keller |
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Journal article |
| container_title |
Diversity and Distributions |
| container_volume |
19 |
| container_issue |
7 |
| container_start_page |
834 |
| publishDate |
2013 |
| institution |
Swansea University |
| doi_str_mv |
10.1111/ddi.12077 |
| college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
| hierarchy_parent_id |
facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography |
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0 |
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0 |
| published_date |
2013-12-31T03:37:50Z |
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1857704501271592960 |
| score |
11.096892 |

