Cargando…
Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area
Energy densities of six dominant benthic groups (Actinopterygii, Amphipoda, Bivalvia, Cumacea, Isopoda, and Polychaeta) and total prey energy were modeled for the nearshore western gray whale feeding area, Sakhalin Island, Russia, as part of a multi-disciplinary research program in the summer of 201...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579071/ https://www.ncbi.nlm.nih.gov/pubmed/36255557 http://dx.doi.org/10.1007/s10661-022-10018-7 |
_version_ | 1784812104419639296 |
---|---|
author | Blanchard, Arny L. Ainsworth, Laurie Gailey, Glenn Demchenko, Natalia L. Shcherbakov, Ilya A. |
author_facet | Blanchard, Arny L. Ainsworth, Laurie Gailey, Glenn Demchenko, Natalia L. Shcherbakov, Ilya A. |
author_sort | Blanchard, Arny L. |
collection | PubMed |
description | Energy densities of six dominant benthic groups (Actinopterygii, Amphipoda, Bivalvia, Cumacea, Isopoda, and Polychaeta) and total prey energy were modeled for the nearshore western gray whale feeding area, Sakhalin Island, Russia, as part of a multi-disciplinary research program in the summer of 2015. Energy was modeled using generalized additive mixed models (GAMM) with accommodations for zero-inflation (logistic regression and hurdle models) and regression predictions combined with kriging to interpolate energy densities across the nearshore feeding area. Amphipoda energy density was the highest nearshore and in the south whereas Bivalvia energy density was the highest offshore and in the northern portion of the study area. Total energy was the highest in mid-range distances from shore and in the north. Amphipoda energy density was higher than minimum energy estimates defining gray whale feeding habitats (312–442 kJ/m(2)) in 13% of the nearshore feeding area whereas total prey energy density was higher than the minimum energy requirement in 49% of the habitat. Inverse distance-weighted interpolations of Amphipoda energy provided a broader scale representation of the data whereas kriging estimates were spatially limited but more representative of higher density in the southern portion of the study area. Both methods represented the general trend of higher Amphipoda energy density nearshore but with significant differences that highlight the value of using multiple methods to model patterns in highly complex environments. |
format | Online Article Text |
id | pubmed-9579071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95790712022-10-20 Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area Blanchard, Arny L. Ainsworth, Laurie Gailey, Glenn Demchenko, Natalia L. Shcherbakov, Ilya A. Environ Monit Assess Article Energy densities of six dominant benthic groups (Actinopterygii, Amphipoda, Bivalvia, Cumacea, Isopoda, and Polychaeta) and total prey energy were modeled for the nearshore western gray whale feeding area, Sakhalin Island, Russia, as part of a multi-disciplinary research program in the summer of 2015. Energy was modeled using generalized additive mixed models (GAMM) with accommodations for zero-inflation (logistic regression and hurdle models) and regression predictions combined with kriging to interpolate energy densities across the nearshore feeding area. Amphipoda energy density was the highest nearshore and in the south whereas Bivalvia energy density was the highest offshore and in the northern portion of the study area. Total energy was the highest in mid-range distances from shore and in the north. Amphipoda energy density was higher than minimum energy estimates defining gray whale feeding habitats (312–442 kJ/m(2)) in 13% of the nearshore feeding area whereas total prey energy density was higher than the minimum energy requirement in 49% of the habitat. Inverse distance-weighted interpolations of Amphipoda energy provided a broader scale representation of the data whereas kriging estimates were spatially limited but more representative of higher density in the southern portion of the study area. Both methods represented the general trend of higher Amphipoda energy density nearshore but with significant differences that highlight the value of using multiple methods to model patterns in highly complex environments. Springer International Publishing 2022-10-18 2022 /pmc/articles/PMC9579071/ /pubmed/36255557 http://dx.doi.org/10.1007/s10661-022-10018-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Blanchard, Arny L. Ainsworth, Laurie Gailey, Glenn Demchenko, Natalia L. Shcherbakov, Ilya A. Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area |
title | Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area |
title_full | Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area |
title_fullStr | Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area |
title_full_unstemmed | Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area |
title_short | Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area |
title_sort | benthic studies adjacent to sakhalin island, russia 2015 iii: benthic energy density spatial models in the nearshore gray whale feeding area |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579071/ https://www.ncbi.nlm.nih.gov/pubmed/36255557 http://dx.doi.org/10.1007/s10661-022-10018-7 |
work_keys_str_mv | AT blanchardarnyl benthicstudiesadjacenttosakhalinislandrussia2015iiibenthicenergydensityspatialmodelsinthenearshoregraywhalefeedingarea AT ainsworthlaurie benthicstudiesadjacenttosakhalinislandrussia2015iiibenthicenergydensityspatialmodelsinthenearshoregraywhalefeedingarea AT gaileyglenn benthicstudiesadjacenttosakhalinislandrussia2015iiibenthicenergydensityspatialmodelsinthenearshoregraywhalefeedingarea AT demchenkonatalial benthicstudiesadjacenttosakhalinislandrussia2015iiibenthicenergydensityspatialmodelsinthenearshoregraywhalefeedingarea AT shcherbakovilyaa benthicstudiesadjacenttosakhalinislandrussia2015iiibenthicenergydensityspatialmodelsinthenearshoregraywhalefeedingarea |