A global dataset of inland fisheries expert knowledge
Measurement(s) Perception • Threats • Adaptive capacity Technology Type(s) Survey Factor Type(s) Fishery location • Demographics Sample Characteristic - Organism Homo sapiens • fish Sample Characteristic - Environment freshwater environment • lake • stream • wetland ecosystem Sample Characteristic -...
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Nature Portfolio
2021
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oai:doaj.org-article:14d0f7f891784469a4d17012b6e062162021-12-02T18:36:58ZA global dataset of inland fisheries expert knowledge10.1038/s41597-021-00949-02052-4463https://doaj.org/article/14d0f7f891784469a4d17012b6e062162021-07-01T00:00:00Zhttps://doi.org/10.1038/s41597-021-00949-0https://doaj.org/toc/2052-4463Measurement(s) Perception • Threats • Adaptive capacity Technology Type(s) Survey Factor Type(s) Fishery location • Demographics Sample Characteristic - Organism Homo sapiens • fish Sample Characteristic - Environment freshwater environment • lake • stream • wetland ecosystem Sample Characteristic - Location Europe • Asia • Oceania • Africa • South America • North America • Australia Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14749161Gretchen L. StokesAbigail J. LynchSimon Funge-SmithJohn Valbo‐JørgensenT. Douglas BeardBenjamin S. LoweJesse P. WongSamuel J. SmidtNature PortfolioarticleScienceQENScientific Data, Vol 8, Iss 1, Pp 1-10 (2021) |
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Science Q |
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Science Q Gretchen L. Stokes Abigail J. Lynch Simon Funge-Smith John Valbo‐Jørgensen T. Douglas Beard Benjamin S. Lowe Jesse P. Wong Samuel J. Smidt A global dataset of inland fisheries expert knowledge |
description |
Measurement(s) Perception • Threats • Adaptive capacity Technology Type(s) Survey Factor Type(s) Fishery location • Demographics Sample Characteristic - Organism Homo sapiens • fish Sample Characteristic - Environment freshwater environment • lake • stream • wetland ecosystem Sample Characteristic - Location Europe • Asia • Oceania • Africa • South America • North America • Australia Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14749161 |
format |
article |
author |
Gretchen L. Stokes Abigail J. Lynch Simon Funge-Smith John Valbo‐Jørgensen T. Douglas Beard Benjamin S. Lowe Jesse P. Wong Samuel J. Smidt |
author_facet |
Gretchen L. Stokes Abigail J. Lynch Simon Funge-Smith John Valbo‐Jørgensen T. Douglas Beard Benjamin S. Lowe Jesse P. Wong Samuel J. Smidt |
author_sort |
Gretchen L. Stokes |
title |
A global dataset of inland fisheries expert knowledge |
title_short |
A global dataset of inland fisheries expert knowledge |
title_full |
A global dataset of inland fisheries expert knowledge |
title_fullStr |
A global dataset of inland fisheries expert knowledge |
title_full_unstemmed |
A global dataset of inland fisheries expert knowledge |
title_sort |
global dataset of inland fisheries expert knowledge |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/14d0f7f891784469a4d17012b6e06216 |
work_keys_str_mv |
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