| dc.contributor |
University of Aberdeen.Biological Sciences |
|
| dc.creator |
Trifonova, Neda |
|
| dc.creator |
Karnauskas, Mandy |
|
| dc.creator |
Kelble, Christopher |
|
| dc.date |
2020-03-26T09:50:01Z |
|
| dc.date |
2020-03-26T09:50:01Z |
|
| dc.date |
2019-01-23 |
|
| dc.date.accessioned |
2022-05-24T06:08:10Z |
|
| dc.date.available |
2022-05-24T06:08:10Z |
|
| dc.identifier |
Trifonova , N , Karnauskas , M & Kelble , C 2019 , ' Predicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network model ' , PloS ONE , vol. 14 , no. 1 , e0209257 . https://doi.org/10.1371/journal.pone.0209257 |
|
| dc.identifier |
1932-6203 |
|
| dc.identifier |
PURE: 157047631 |
|
| dc.identifier |
PURE UUID: 06bae3f2-f13a-45b8-9900-4a2437c80b9e |
|
| dc.identifier |
Scopus: 85060402637 |
|
| dc.identifier |
https://hdl.handle.net/2164/13918 |
|
| dc.identifier |
https://doi.org/10.1371/journal.pone.0209257 |
|
| dc.identifier |
http://www.aoml.noaa.gov/ocd/ocdweb/ESR_GOMIEA/ |
|
| dc.identifier |
14 |
|
| dc.identifier |
1 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/117766 |
|
| dc.description |
Funding: This research was carried out in part under the auspices of the Cooperative Institute for Marine and Atmospheric Studies (CIMAS), a Cooperative Institute of the University of Miami and the National Oceanic and Atmospheric Administration, cooperative agreement #NA10OAR4320143. This paper is NOAA IEA Program contribution #2018_4. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Acknowledgments This research was carried out in part under the auspices of the Cooperative Institute for Marine and Atmospheric Studies (CIMAS), a Cooperative Institute of the University of Miami and the National Oceanic and Atmospheric Administration, cooperative agreement #NA10OAR4320143. This paper is a result of research, supported by the National Oceanic and Atmospheric Administration’s Integrated Ecosystem Assessment (NOAA IEA) Program. This paper is NOAA IEA Program contribution #2018_4. |
|
| dc.description |
Peer reviewed |
|
| dc.description |
Publisher PDF |
|
| dc.format |
23 |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.relation |
PloS ONE |
|
| dc.rights |
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ |
|
| dc.subject |
SDG 14 - Life Below Water |
|
| dc.subject |
QH301 Biology |
|
| dc.subject |
Supplementary Data |
|
| dc.subject |
QH301 |
|
| dc.title |
Predicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network model |
|
| dc.type |
Journal article |
|