Contrasting patterns in the occurrence and biomass centers of gravity among fish and macroinvertebrates in a continental shelf ecosystem
The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random...
Saved in:
| Published in | Ecology and evolution Vol. 11; no. 5; pp. 2050 - 2063 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
England
John Wiley & Sons, Inc
01.03.2021
John Wiley and Sons Inc Wiley |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along‐shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978–2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along‐shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources.
Habitat models for marine fish and macroinvertebrates were used to estimate occurrence and biomass center of gravity (COG). The COGs of occupancy and biomass habitat were separated by significant distances and trended over time. These results suggest that climate change forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. |
|---|---|
| AbstractList | Abstract The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along‐shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978–2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along‐shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. The distribution of a group of fish and macroinvertebrates ( n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along‐shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978–2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along‐shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. Habitat models for marine fish and macroinvertebrates were used to estimate occurrence and biomass center of gravity (COG). The COGs of occupancy and biomass habitat were separated by significant distances and trended over time. These results suggest that climate change forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along-shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978-2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along-shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources.The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along-shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978-2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along-shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. The distribution of a group of fish and macroinvertebrates ( n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along‐shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978–2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along‐shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along‐shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978–2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along‐shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. The distribution of a group of fish and macroinvertebrates ( = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along-shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978-2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along-shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along‐shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978–2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along‐shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. Habitat models for marine fish and macroinvertebrates were used to estimate occurrence and biomass center of gravity (COG). The COGs of occupancy and biomass habitat were separated by significant distances and trended over time. These results suggest that climate change forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources. |
| Author | Friedland, Kevin D. Tanaka, Kisei R. Smoliński, Szymon |
| AuthorAffiliation | 4 Pacific Islands Fisheries Science Center National Oceanic and Atmospheric Administration Honolulu HI USA 3 Department of Fisheries Resources National Marine Fisheries Research Institute Gdynia Poland 1 Northeast Fisheries Science Center Narragansett RI USA 2 Demersal Fish Research Group Institute of Marine Research Bergen Norway |
| AuthorAffiliation_xml | – name: 2 Demersal Fish Research Group Institute of Marine Research Bergen Norway – name: 1 Northeast Fisheries Science Center Narragansett RI USA – name: 4 Pacific Islands Fisheries Science Center National Oceanic and Atmospheric Administration Honolulu HI USA – name: 3 Department of Fisheries Resources National Marine Fisheries Research Institute Gdynia Poland |
| Author_xml | – sequence: 1 givenname: Kevin D. orcidid: 0000-0003-3887-0186 surname: Friedland fullname: Friedland, Kevin D. email: kevin.friedland@noaa.gov organization: Northeast Fisheries Science Center – sequence: 2 givenname: Szymon orcidid: 0000-0003-2715-984X surname: Smoliński fullname: Smoliński, Szymon organization: National Marine Fisheries Research Institute – sequence: 3 givenname: Kisei R. orcidid: 0000-0002-1901-6972 surname: Tanaka fullname: Tanaka, Kisei R. organization: National Oceanic and Atmospheric Administration |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33717441$$D View this record in MEDLINE/PubMed |
| BookMark | eNp1ks9u1DAQhyNUREvpgRdAlrjAYVvbsePkgoRWC1SqxAXO1sSZ7HqV2IvtbLVvwGPj_VPUVpCLI_v7fWN55nVx5rzDonjL6DWjlN-gwfJaMUlfFBecCjlTStZnj_7Pi6sY1zR_FeWCqlfFeVkqpoRgF8XvuXcpQEzWLckGUsLgIrGOpBUSb8wUAjqDBFxHWutHiJEYdBmLxPdkGWBr047A6HO-t3F1IEcwwVu3xZCwDZDwoARicjHrchwGElc49ASNj7uYcHxTvOxhiHh1Wi-Ln18WP-bfZnffv97OP9_NjKQNnZWsUg2KGpqOlxUVypQVqlaykoOphejahjbctJTTrmPKsL6ve1NCYziaNtOXxe3R23lY602wI4Sd9mD1YcOHpYaQrBlQK0lzqkZZ9VRUtWxzPVYKFKppq4r22fXp6NpM7Yjd_l0CDE-kT0-cXeml32rVcKrqKgs-nATB_5owJj3aaHAYwKGfouaSMqFyLZnR98_QtZ-Cy0-luWhEJXKrVabePb7R36s8NDwDN0cgNyjGgL02NkGyhymwg2ZU76dK76dK76cqJz4-SzxI_8We7Pd2wN3_Qb2YL8pD4g8nt90d |
| CitedBy_id | crossref_primary_10_1016_j_seares_2023_102460 crossref_primary_10_1371_journal_pone_0300311 crossref_primary_10_1111_fme_12532 crossref_primary_10_3389_fmars_2022_941411 crossref_primary_10_1093_icesjms_fsab214 crossref_primary_10_1111_fog_12709 crossref_primary_10_1002_mcf2_10230 crossref_primary_10_1002_aqc_4060 crossref_primary_10_1139_facets_2023_0024 crossref_primary_10_1002_mcf2_10235 crossref_primary_10_3354_meps14316 crossref_primary_10_1093_icesjms_fsae054 crossref_primary_10_1016_j_scitotenv_2023_166117 crossref_primary_10_1093_icesjms_fsab266 crossref_primary_10_1111_fog_12676 crossref_primary_10_1086_730687 crossref_primary_10_1016_j_csr_2024_105319 crossref_primary_10_3389_fmars_2021_779144 crossref_primary_10_1016_j_fishres_2024_107179 |
| Cites_doi | 10.1016/j.scitotenv.2019.135270 10.1111/ecog.04864 10.3354/meps08220 10.1093/icesjms/fsw193 10.1371/journal.pone.0207538 10.1080/03610927808827599 10.1111/geb.12832 10.1016/j.rse.2010.04.002 10.1093/beheco/arx189 10.1371/journal.pone.0050440 10.1007/s10980-009-9341-0 10.1002/eap.1565 10.1016/j.jembe.2011.02.029 10.1371/journal.pone.0146724 10.1111/j.1365-2400.2011.00814.x 10.3354/meps10607 10.1890/0012-9658(2000)081[3178:CARTAP]2.0.CO;2 10.1126/science.1111322 10.1111/faf.12212 10.1111/geb.12464 10.1093/conphys/coaa045 10.1126/science.1239352 10.1111/ecog.03571 10.1371/journal.pone.0196583 10.1139/f88-204 10.1111/ecog.04996 10.3389/fmars.2017.00421 10.1038/s41598-018-21285-1 10.1016/j.dsr.2017.01.009 10.1093/icesjms/fsm066 10.1093/icesjms/fsz097 10.1111/j.1365-2656.2007.01245.x 10.1139/cjfas-2017-0181 10.1080/01490410600738021 10.1086/284267 10.1890/07-0539.1 10.1002/ecs2.2017 10.1126/science.aac9819 10.1890/08-0879.1 10.1038/s41598-018-25403-x 10.1111/faf.12225 10.1016/j.jmarsys.2008.11.018 10.1111/ele.12696 10.1093/icesjms/fsw136 10.1111/faf.12308 10.1016/j.pocean.2017.04.001 |
| ContentType | Journal Article |
| Copyright | Published 2021. This article is a U.S. Government work and is in the public domain in the USA Published 2021. This article is a U.S. Government work and is in the public domain in the USA. 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: Published 2021. This article is a U.S. Government work and is in the public domain in the USA – notice: Published 2021. This article is a U.S. Government work and is in the public domain in the USA. – notice: 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | 24P AAYXX CITATION NPM 3V. 7SN 7SS 7ST 7X2 8FD 8FE 8FH 8FK ABUWG AEUYN AFKRA ATCPS AZQEC BBNVY BENPR BHPHI C1K CCPQU DWQXO FR3 GNUQQ HCIFZ LK8 M0K M7P P64 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS RC3 SOI 7X8 5PM DOA |
| DOI | 10.1002/ece3.7150 |
| DatabaseName | Wiley Online Library Open Access CrossRef PubMed ProQuest Central (Corporate) Ecology Abstracts Entomology Abstracts (Full archive) Environment Abstracts Agricultural Science Collection Technology Research Database ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Central Korea Engineering Research Database ProQuest Central Student SciTech Premium Collection ProQuest Biological Science Collection Agricultural Science Database Biological Science Database Biotechnology and BioEngineering Abstracts ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Genetics Abstracts Environment Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ - Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Agricultural Science Database Publicly Available Content Database ProQuest Central Student Technology Research Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability Genetics Abstracts Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection Biological Science Collection ProQuest Central (New) ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Agricultural Science Collection Biological Science Database ProQuest SciTech Collection Ecology Abstracts Biotechnology and BioEngineering Abstracts Entomology Abstracts ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic Environment Abstracts ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic CrossRef Agricultural Science Database PubMed |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals (DOAJ) (Open Access) url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: 24P name: Wiley Online Library Open Access url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Ecology |
| DocumentTitleAlternate | FRIEDLAND et al |
| EISSN | 2045-7758 |
| EndPage | 2063 |
| ExternalDocumentID | oai_doaj_org_article_750c2e8e56f04685b604134e479b660f PMC7920786 33717441 10_1002_ece3_7150 ECE37150 |
| Genre | article Journal Article |
| GeographicLocations | United States--US |
| GeographicLocations_xml | – name: United States--US |
| GroupedDBID | 0R~ 1OC 24P 53G 5VS 7X2 8-0 8-1 8FE 8FH AAFWJ AAHBH AAHHS AAZKR ACCFJ ACCMX ACGFO ACPRK ACXQS ADBBV ADKYN ADRAZ ADZMN ADZOD AEEZP AENEX AEQDE AEUYN AFKRA AFRAH AIAGR AIWBW AJBDE ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN AOIJS ATCPS AVUZU BAWUL BBNVY BCNDV BENPR BHPHI CCPQU D-8 D-9 DIK EBS ECGQY EJD GODZA GROUPED_DOAJ GX1 HCIFZ HYE IAO IEP ITC KQ8 LK8 M0K M48 M7P M~E OK1 PIMPY PROAC RNS ROL RPM SUPJJ WIN AAYXX AFPKN CITATION PHGZM PHGZT AAMMB AEFGJ AGXDD AIDQK AIDYY NPM PQGLB 3V. 7SN 7SS 7ST 8FD 8FK ABUWG AZQEC C1K DWQXO FR3 GNUQQ P64 PKEHL PQEST PQQKQ PQUKI PRINS PUEGO RC3 SOI 7X8 5PM |
| ID | FETCH-LOGICAL-c5090-31679e48a9d236047c36e7b5132ac844db9092cb020dd17c1ff8fc3a9c2ecb7c3 |
| IEDL.DBID | M48 |
| ISSN | 2045-7758 |
| IngestDate | Wed Aug 27 01:30:10 EDT 2025 Thu Aug 21 17:13:13 EDT 2025 Fri Jul 11 00:17:43 EDT 2025 Sat Aug 23 12:47:41 EDT 2025 Mon Jul 21 06:01:56 EDT 2025 Tue Jul 01 03:04:30 EDT 2025 Thu Apr 24 22:57:32 EDT 2025 Wed Jan 22 16:31:27 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Keywords | temperature Northeast US Large Marine Ecosystem center of gravity habitat random forest |
| Language | English |
| License | Attribution Published 2021. This article is a U.S. Government work and is in the public domain in the USA. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c5090-31679e48a9d236047c36e7b5132ac844db9092cb020dd17c1ff8fc3a9c2ecb7c3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0003-2715-984X 0000-0002-1901-6972 0000-0003-3887-0186 |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1002/ece3.7150 |
| PMID | 33717441 |
| PQID | 2494647757 |
| PQPubID | 2034651 |
| PageCount | 14 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_750c2e8e56f04685b604134e479b660f pubmedcentral_primary_oai_pubmedcentral_nih_gov_7920786 proquest_miscellaneous_2501476605 proquest_journals_2494647757 pubmed_primary_33717441 crossref_citationtrail_10_1002_ece3_7150 crossref_primary_10_1002_ece3_7150 wiley_primary_10_1002_ece3_7150_ECE37150 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | March 2021 |
| PublicationDateYYYYMMDD | 2021-03-01 |
| PublicationDate_xml | – month: 03 year: 2021 text: March 2021 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England – name: Bognor Regis – name: Hoboken |
| PublicationTitle | Ecology and evolution |
| PublicationTitleAlternate | Ecol Evol |
| PublicationYear | 2021 |
| Publisher | John Wiley & Sons, Inc John Wiley and Sons Inc Wiley |
| Publisher_xml | – name: John Wiley & Sons, Inc – name: John Wiley and Sons Inc – name: Wiley |
| References | 2017; 8 2017; 4 1984; 124 2002; 10 2012; 19 1972 2018; 41 2009; 393 2017; 153 2007; 76 2014; 497 1978; 7 2020; 8 2011; 400 2018; 8 2017; 74 1990; 88 1990 2010; 114 2019; 28 2006; 29 1988; 45 2005; 308 2020; 43 2017; 121 2007; 64 2018; 75 2018; 29 2009; 24 2016; 19 2010 2017; 27 2019; 76 2002; 2 2006 1988; 50 2013; 341 1999; 5 2016; 11 2020; 704 2009; 78 2015; 350 2018; 19 2019 2000; 81 2018 2016 2017; 18 2012; 7 2010; 91 2007; 88 2016; 25 2018; 13 e_1_2_9_31_1 e_1_2_9_52_1 e_1_2_9_50_1 e_1_2_9_10_1 e_1_2_9_35_1 e_1_2_9_56_1 Sherman K. (e_1_2_9_48_1) 2002; 10 e_1_2_9_12_1 e_1_2_9_33_1 e_1_2_9_54_1 Riley S. J. (e_1_2_9_43_1) 1999; 5 Liaw A. (e_1_2_9_30_1) 2002; 2 e_1_2_9_14_1 e_1_2_9_39_1 e_1_2_9_16_1 e_1_2_9_37_1 e_1_2_9_18_1 e_1_2_9_41_1 e_1_2_9_20_1 e_1_2_9_22_1 e_1_2_9_45_1 Kinlan B. P. (e_1_2_9_26_1) 2016 e_1_2_9_24_1 e_1_2_9_8_1 e_1_2_9_6_1 e_1_2_9_4_1 e_1_2_9_60_1 e_1_2_9_2_1 Miller T. J. (e_1_2_9_36_1) 2010 e_1_2_9_49_1 e_1_2_9_28_1 e_1_2_9_47_1 MacCall A. D. (e_1_2_9_32_1) 1990 e_1_2_9_53_1 e_1_2_9_51_1 e_1_2_9_11_1 e_1_2_9_34_1 e_1_2_9_57_1 Desprespatanjo L. I. (e_1_2_9_13_1) 1988; 50 Townsend D. W. (e_1_2_9_55_1) 2006 Winship A. J. (e_1_2_9_58_1) 2018 Hamner B. (e_1_2_9_21_1) 2018 Kendall A. W. (e_1_2_9_25_1) 1990; 88 e_1_2_9_15_1 e_1_2_9_38_1 e_1_2_9_17_1 e_1_2_9_59_1 e_1_2_9_19_1 e_1_2_9_42_1 e_1_2_9_40_1 e_1_2_9_46_1 e_1_2_9_44_1 e_1_2_9_7_1 e_1_2_9_5_1 e_1_2_9_3_1 Hobson R. D. (e_1_2_9_23_1) 1972 e_1_2_9_9_1 e_1_2_9_27_1 e_1_2_9_29_1 |
| References_xml | – volume: 76 start-page: 2060 issue: 7 year: 2019 end-page: 2069 article-title: A simulation study of trend detection methods for integrated ecosystem assessment publication-title: ICES Journal of Marine – volume: 497 start-page: 199 year: 2014 end-page: 213 article-title: Effects of hypoxia‐induced habitat compression on growth of juvenile fish in the Neuse River Estuary, North Carolina, USA publication-title: Marine Ecology Progress Series – volume: 19 start-page: 1003 year: 2018 end-page: 1015 article-title: Ecosystem type shapes trophic position and omnivory in fishes publication-title: Fish and Fisheries – volume: 28 start-page: 158 year: 2019 end-page: 169 article-title: Metabolic impacts of climate change on marine ecosystems: Implications for fish communities and fisheries publication-title: Global Ecology and Biogeography – volume: 74 start-page: 1311 year: 2017 end-page: 1321 article-title: Comparing estimates of abundance trends and distribution shifts using single‐ and multispecies models of fishes and biogenic habitat publication-title: ICES Journal of Marine Science – volume: 5 start-page: 1 year: 1999 end-page: 4 article-title: A terrain ruggedness index that quantifies topographic heterogeneity publication-title: Intermountain Journal of Sciences – volume: 341 start-page: 1239 year: 2013 end-page: 1242 article-title: Marine taxa track local climate velocities publication-title: Science – volume: 10 start-page: 3 year: 2002 end-page: 449 article-title: Large marine ecosystems of the North Atlantic: Changing states and sustainability publication-title: Large Marine Ecosystems – volume: 8 issue: 1 year: 2020 article-title: Physiological mechanisms linking cold acclimation and the poleward distribution limit of a range‐extending marine fish publication-title: Conservation Physiology – volume: 393 start-page: 111 year: 2009 end-page: 129 article-title: Changing spatial distribution of fish stocks in relation to climate and population size on the Northeast United States continental shelf publication-title: Marine Ecology Progress Series – volume: 50 start-page: 69 year: 1988 end-page: 71 article-title: 25 years of fish surveys in the Northwest Atlantic – The Nmfs Northeast Fisheries Centers Bottom Trawl Survey Program publication-title: Marine Fisheries Review – year: 2018 – year: 1990 – volume: 81 start-page: 3178 year: 2000 end-page: 3192 article-title: Classification and regression trees: A powerful yet simple technique for ecological data analysis publication-title: Ecology – volume: 124 start-page: 255 year: 1984 end-page: 279 article-title: On the relationship between abundance and distribution of species publication-title: American Naturalist – volume: 400 start-page: 218 year: 2011 end-page: 226 article-title: Community ecology in a warming world: The influence of temperature on interspecific interactions in marine systems publication-title: Journal of Experimental Marine Biology and Ecology – start-page: 221 year: 1972 end-page: 245 – volume: 8 year: 2018 article-title: Fishing and temperature effects on the size structure of exploited fish stocks publication-title: Scientific Reports – volume: 27 start-page: 1776 year: 2017 end-page: 1788 article-title: Characterizing ontogenetic habitat shifts in marine fishes: Advancing nascent methods for marine spatial management publication-title: Ecological Applications – volume: 19 start-page: 1468 year: 2016 end-page: 1478 article-title: Incorporating evolutionary adaptation in species distribution modelling reduces projected vulnerability to climate change publication-title: Ecology Letters – volume: 43 start-page: 1764 year: 2020 end-page: 1778 article-title: A cross‐scale framework to support a mechanistic understanding and modelling of marine climate‐driven species redistribution, from individuals to communities publication-title: Ecography – volume: 29 start-page: 429 year: 2018 end-page: 439 article-title: Differential persistence favors habitat preferences that determine the distribution of a reef fish publication-title: Behavioral Ecology – volume: 64 start-page: 909 year: 2007 end-page: 919 article-title: Zooplankton abundance trends on Georges Bank, 1977–2004 publication-title: ICES Journal of Marine Sciences – volume: 88 start-page: 2783 year: 2007 end-page: 2792 article-title: Random forests for classification in ecology publication-title: Ecology – volume: 75 start-page: 1230 year: 2018 end-page: 1255 article-title: Using species distribution models to describe essential fish habitat in Alaska publication-title: Canadian Journal of Fisheries and Aquatic Science – start-page: 238 year: 2010 – volume: 78 start-page: 319 year: 2009 end-page: 326 article-title: An algorithm for oceanic front detection in chlorophyll and SST satellite imagery publication-title: Journal of Marine Systems – volume: 704 year: 2020 article-title: Changes in higher trophic level productivity, diversity and niche space in a rapidly warming continental shelf ecosystem publication-title: Science of the Total Environment – volume: 8 issue: 11 year: 2017 article-title: Climate change and the threat of novel marine predators in Antarctica publication-title: Ecosphere – volume: 8 start-page: 3039 year: 2018 article-title: Presence‐absence of marine macrozoobenthos does not generally predict abundance and biomass publication-title: Scientific Reports – year: 2019 – volume: 13 year: 2018 article-title: Integrating spatial indicators in the surveillance of exploited marine ecosystems publication-title: PLoS One – volume: 29 start-page: 89 year: 2006 end-page: 111 article-title: A benthic terrain classification scheme for American Samoa publication-title: Marine Geodesy – volume: 121 start-page: 169 year: 2017 end-page: 182 article-title: Marine fish community structure and habitat associations on the Canadian Beaufort shelf and slope publication-title: Deep Sea Research Part I: Oceanographic Research Papers – volume: 45 start-page: 1720 year: 1988 end-page: 1735 article-title: Biological bases for mixed‐species fisheries: Species co‐distribution in relation to environmental and biotic variables publication-title: Canadian Journal of Fisheries and Aquatic Sciences – volume: 43 start-page: 494 year: 2020 end-page: 505 article-title: Changing fish distributions challenge the effective management of European fisheries publication-title: Ecography – volume: 153 start-page: 24 year: 2017 end-page: 36 article-title: Marine species distribution shifts on the US Northeast Continental Shelf under continued ocean warming publication-title: Progress in Oceanography – volume: 13 year: 2018 article-title: Relative importance of population size, fishing pressure and temperature on the spatial distribution of nine Northwest Atlantic groundfish stocks publication-title: PLoS One – volume: 18 start-page: 1073 year: 2017 end-page: 1084 article-title: The relative influence of temperature and size‐structure on fish distribution shifts: A case‐study on Walleye pollock in the Bering Sea publication-title: Fish and Fisheries – start-page: 119 year: 2006 end-page: 168 – volume: 88 start-page: 133 year: 1990 end-page: 154 article-title: Egg and larval distributions of walleye pollock in Shelikof Strait, Gulf of Alaska publication-title: Fishery Bulletin US – volume: 24 start-page: 673 year: 2009 end-page: 683 article-title: Gradient modeling of conifer species using random forests publication-title: Landscape Ecology – volume: 7 issue: 12 year: 2012 article-title: Multi‐scale measures of rugosity, slope and aspect from benthic stereo image reconstructions publication-title: PLoS One – volume: 2 start-page: 18 issue: 3 year: 2002 end-page: 22 article-title: Classification and regression by random forest publication-title: R News – volume: 76 start-page: 695 year: 2007 end-page: 702 article-title: Do developmental mode and dispersal shape abundance–occupancy relationships in marine macroinvertebrates? publication-title: Journal of Animal Ecology – start-page: 113 year: 2016 – volume: 114 start-page: 1791 year: 2010 end-page: 1804 article-title: Merged satellite ocean color data products using a bio‐optical model: Characteristics, benefits and issues publication-title: Remote Sensing of Environment – volume: 11 year: 2016 article-title: Coupled downscaled climate models and ecophysiological metrics forecast habitat compression for an endangered estuarine fish publication-title: PLoS One – volume: 74 start-page: 102 year: 2017 end-page: 111 article-title: Spatial prediction of demersal fish diversity in the Baltic Sea: Comparison of machine learning and regression‐based techniques publication-title: ICES Journal of Marine Science – volume: 19 start-page: 22 year: 2012 end-page: 35 article-title: Variation in wind and piscivorous predator fields affecting the survival of Atlantic salmon, , in the Gulf of Maine publication-title: Fisheries Management and Ecology – volume: 7 start-page: 13 year: 1978 end-page: 26 article-title: Further analysts of the data by Akaike's information criterion and the finite corrections publication-title: Communications in Statistics – Theory and Methods – volume: 41 start-page: 1876 year: 2018 end-page: 1887 article-title: Comparing the prediction of joint species distribution models with respect to characteristics of sampling data publication-title: Ecography – volume: 4 start-page: 421 year: 2017 article-title: A systematic review of marine‐based species distribution models (SDMs) with recommendations for best practice publication-title: Frontiers in Marine Science – volume: 308 start-page: 1912 year: 2005 end-page: 1915 article-title: Climate change and distribution shifts in marine fishes publication-title: Science – volume: 350 start-page: 809 year: 2015 end-page: 812 article-title: Slow adaptation in the face of rapid warming leads to collapse of the Gulf of Maine cod fishery publication-title: Science – volume: 18 start-page: 877 year: 2017 end-page: 889 article-title: Impacts of climate change for coastal fishers and implications for fisheries publication-title: Fish and Fisheries – volume: 91 start-page: 252 year: 2010 end-page: 261 article-title: Quantifying connectivity in Yellowstone National Park with landscape genetics publication-title: Ecology – volume: 25 start-page: 1144 year: 2016 end-page: 1158 article-title: Joint dynamic species distribution models: A tool for community ordination and spatio‐temporal monitoring publication-title: Global Ecology and Biogeography – ident: e_1_2_9_16_1 doi: 10.1016/j.scitotenv.2019.135270 – ident: e_1_2_9_3_1 doi: 10.1111/ecog.04864 – volume: 10 start-page: 3 year: 2002 ident: e_1_2_9_48_1 article-title: Large marine ecosystems of the North Atlantic: Changing states and sustainability publication-title: Large Marine Ecosystems – volume: 2 start-page: 18 issue: 3 year: 2002 ident: e_1_2_9_30_1 article-title: Classification and regression by random forest publication-title: R News – ident: e_1_2_9_20_1 – ident: e_1_2_9_39_1 doi: 10.3354/meps08220 – volume: 5 start-page: 1 year: 1999 ident: e_1_2_9_43_1 article-title: A terrain ruggedness index that quantifies topographic heterogeneity publication-title: Intermountain Journal of Sciences – ident: e_1_2_9_52_1 doi: 10.1093/icesjms/fsw193 – ident: e_1_2_9_45_1 doi: 10.1371/journal.pone.0207538 – volume: 50 start-page: 69 year: 1988 ident: e_1_2_9_13_1 article-title: 25 years of fish surveys in the Northwest Atlantic – The Nmfs Northeast Fisheries Centers Bottom Trawl Survey Program publication-title: Marine Fisheries Review – start-page: 113 volume-title: Modeling at‐sea occurrence and abundance of marine birds to support Atlantic marine renewable energy planning: Phase I Report year: 2016 ident: e_1_2_9_26_1 – ident: e_1_2_9_51_1 doi: 10.1080/03610927808827599 – ident: e_1_2_9_10_1 doi: 10.1111/geb.12832 – ident: e_1_2_9_35_1 doi: 10.1016/j.rse.2010.04.002 – start-page: 221 volume-title: Spatial analysis in geomorphology year: 1972 ident: e_1_2_9_23_1 – ident: e_1_2_9_34_1 doi: 10.1093/beheco/arx189 – ident: e_1_2_9_18_1 doi: 10.1371/journal.pone.0050440 – ident: e_1_2_9_14_1 doi: 10.1007/s10980-009-9341-0 – ident: e_1_2_9_19_1 doi: 10.1002/eap.1565 – ident: e_1_2_9_28_1 doi: 10.1016/j.jembe.2011.02.029 – ident: e_1_2_9_7_1 doi: 10.1371/journal.pone.0146724 – ident: e_1_2_9_17_1 doi: 10.1111/j.1365-2400.2011.00814.x – ident: e_1_2_9_9_1 doi: 10.3354/meps10607 – ident: e_1_2_9_12_1 doi: 10.1890/0012-9658(2000)081[3178:CARTAP]2.0.CO;2 – ident: e_1_2_9_40_1 doi: 10.1126/science.1111322 – ident: e_1_2_9_47_1 doi: 10.1111/faf.12212 – ident: e_1_2_9_54_1 doi: 10.1111/geb.12464 – start-page: 238 volume-title: Estimation of Albatross IV to Henry B. Bigelow calibration factors year: 2010 ident: e_1_2_9_36_1 – ident: e_1_2_9_59_1 doi: 10.1093/conphys/coaa045 – ident: e_1_2_9_42_1 doi: 10.1126/science.1239352 – ident: e_1_2_9_60_1 doi: 10.1111/ecog.03571 – ident: e_1_2_9_2_1 doi: 10.1371/journal.pone.0196583 – ident: e_1_2_9_37_1 doi: 10.1139/f88-204 – ident: e_1_2_9_57_1 doi: 10.1111/ecog.04996 – ident: e_1_2_9_44_1 doi: 10.3389/fmars.2017.00421 – ident: e_1_2_9_5_1 doi: 10.1038/s41598-018-21285-1 – ident: e_1_2_9_33_1 doi: 10.1016/j.dsr.2017.01.009 – ident: e_1_2_9_24_1 doi: 10.1093/icesjms/fsm066 – ident: e_1_2_9_22_1 doi: 10.1093/icesjms/fsz097 – ident: e_1_2_9_15_1 doi: 10.1111/j.1365-2656.2007.01245.x – ident: e_1_2_9_29_1 doi: 10.1139/cjfas-2017-0181 – ident: e_1_2_9_31_1 doi: 10.1080/01490410600738021 – volume-title: Metrics: Evaluation metrics for machine learning year: 2018 ident: e_1_2_9_21_1 – volume: 88 start-page: 133 year: 1990 ident: e_1_2_9_25_1 article-title: Egg and larval distributions of walleye pollock Theragra chalcogramma in Shelikof Strait, Gulf of Alaska publication-title: Fishery Bulletin US – ident: e_1_2_9_6_1 doi: 10.1086/284267 – ident: e_1_2_9_11_1 doi: 10.1890/07-0539.1 – ident: e_1_2_9_49_1 doi: 10.1002/ecs2.2017 – ident: e_1_2_9_41_1 doi: 10.1126/science.aac9819 – ident: e_1_2_9_38_1 doi: 10.1890/08-0879.1 – ident: e_1_2_9_56_1 doi: 10.1038/s41598-018-25403-x – ident: e_1_2_9_53_1 doi: 10.1111/faf.12225 – ident: e_1_2_9_4_1 doi: 10.1016/j.jmarsys.2008.11.018 – ident: e_1_2_9_8_1 doi: 10.1111/ele.12696 – ident: e_1_2_9_50_1 doi: 10.1093/icesjms/fsw136 – volume-title: Dynamic geography of marine fish populations year: 1990 ident: e_1_2_9_32_1 – ident: e_1_2_9_46_1 doi: 10.1111/faf.12308 – ident: e_1_2_9_27_1 doi: 10.1016/j.pocean.2017.04.001 – volume-title: Modeling at‐sea density of marine birds to support Atlantic marine renewable energy planning: Final Report year: 2018 ident: e_1_2_9_58_1 – start-page: 119 volume-title: The sea year: 2006 ident: e_1_2_9_55_1 |
| SSID | ssj0000602407 |
| Score | 2.3485043 |
| Snippet | The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species... The distribution of a group of fish and macroinvertebrates ( n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species... The distribution of a group of fish and macroinvertebrates ( = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species... The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species... Abstract The distribution of a group of fish and macroinvertebrates (n = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with... |
| SourceID | doaj pubmedcentral proquest pubmed crossref wiley |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 2050 |
| SubjectTerms | Biomass Center of gravity Climate change Continental shelves Depth perception Divergence Ecosystems Environment models Fish Fishing Geographical distribution Gravity habitat Habitats Human populations Latitude Learning algorithms Machine learning Macroinvertebrates Marine ecology Marine ecosystems Marine resources Northeast US Large Marine Ecosystem Occupancy Original Research random forest Seasonal distribution Strategic planning Stress concentration temperature Time series Trends |
| SummonAdditionalLinks | – databaseName: DOAJ - Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQJSQuiPIMLcggDlxCd-NXfIRqq4oDJyr1Zvkx1q5UvFXTHvgH_GxmnOxqVxRx4RYlo8SZGdvfyDPfMPZBWC_jXJkWrNAtHZy1ve0xStGQk1KGai8p2-KbPr-QXy_V5U6rL8oJG-mBR8Wd4I4WO-hB6YyhXK-CnuG6K0EaG7SeZVp9cc_bCabGNZi4u8yGSmjWnUAE8cnMqb5-ZwOqPP33gcs_cyR3sWvdfM6esMcTauSfx9EesgdQnrKHi8o4_fMZ-0UcUzd-oBRmfl0ZM8vAV4UjuuPrGCsHUwTuS-JUb4-AmdMXEfrxdebUggjBOK-Nh3heDcsq-cPjH6wKNWym02XEpPRKzym7HbEplVHyYQlXmWMIOzJCP2cXZ4vvp-ft1GKhjYgUaAXWxoLsvU2dQM2aKDSYoDBG9bGXMgU7s10MCCpTmps4z7nPUXiLNokBpV-wg7Iu8IrxILoIWSfpgYKc5GUWWXitczIoGxr2caN3Fyf-cWqDceVG5uTOkYkcmahh77ei1yPpxn1CX8h4WwHiya430Hvc5D3uX97TsOON6d00eQeHEamk-lxlGvZu-xinHZ2l-ALrO5Sh81iDr1ANezl6ynYkQmCMjDCzYWbPh_aGuv-krJaV2tvYDjGbRl1Vb_v737vF6ULQxev_oYYj9qijXJ2aW3fMDm5v7uANgq3b8LbOq9953yhZ priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB7BVkhcEG8CBRnEgUtoEjt2fEK0SlVxqBCiUm-R4we7UkmWTXvgH_CzmXGyoSsKtygZJbbHdr7xzHwD8JZrI2xeqtRrLlNynKWVrtBKkT64slSUe0nRFqfy5Ex8Oi_PpwO3YQqr3O6JcaN2vaUz8gM0EwQlTZbqw_pHSlWjyLs6ldC4DXu4BVfVAvYO69PPX-ZTlkwSh5faUgplxYG3nr9XOeXZX_sRRb7-m0Dm37GS1zFs_Akd34d7E3pkH0d1P4BbvnsId-rIPP3zEfwirqmNGSiUma0jc2Y3sFXHEOWx3trIxWQ9M51jlHePwJnRFxECsj4wKkWEoJzFAkQsrIZllPxusAerjgo3k5cZsSm90jCKckeMSumUbFj6i8DQlB2ZoR_D2XH99egknUotpBYRA-3EUmkvKqNdwWUmlOXSq7ZEW9XYSgjX6kwXtkVw6VyubB5CFSw32hbetij9BBZd3_lnwFpeWB-kE8aTseOMCDxwI2VwCmXbBN5tx72xEw85lcO4aEYG5aIhFTWkogTezKLrkXzjJqFDUt4sQHzZ8Ua_-dZMy69BXIQtrXwpQyZkVbbYx5wLL5RupcxCAvtb1TfTIh6aP1MugdfzY1x-5FMxne-vUIb8sgpfUSbwdJwpc0s4R1sZ4WYCamcO7TR190m3WkaKb6ULxG4SxyrOtn_3vqmPak4Xz__fgxdwt6BonBg9tw-Ly82Vf4lw6rJ9Na2Z33ZxIq0 priority: 102 providerName: ProQuest – databaseName: Wiley Online Library Open Access dbid: 24P link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELaqIiQuiDeBggziwCU062csTlBtVXFAHKjUW-Qnu1Jxqk174B_0Z3fGyQZWFIlblEwS2-NJvrFnviHkHTdW-IXUdTRc1bhxVremBS9FxRSk1Jh7idEWX9XJqfhyJs_2yMdtLszIDzEvuKFllO81Grh1w-Fv0tDoI_-gi79-B1NrMZ6PiW_zAkujkL4L06WRcR1QpGy3zEINO5zv3vkfFdr-27Dm3yGTf0LZ8i86fkDuTyCSfhq1_pDsxfyI3F0WAupfj8k1Uk5t7IARzfSiEGjmga4zBbBHe-8LJZOP1OZAMf0e8DPFNwISpH2iWJEIsDktdYhoWg-rIvnTQg_WGes342YzQFR8pKUY7A6DiVmVdFjF80TBox0Jop-Q0-Pl96OTeqq4UHsADvhBVtpE0VoTGFeN0J6rqJ0El9X6VojgTGOYd4AxQ1hov0ipTZ5b41n0DqSfkv3c5_icUMeZj0kFYSP6PMGKxBO3SqWgQdZV5P123Ds_0ZFjVYzzbiRSZh2qqEMVVeTtLHoxcnDcJvQZlTcLIG12OdFvfnSTFXYAj6ClbZQqNUK10kEfF1xEoY1TqkkVOdiqvptseejAQRWYrit1Rd7Ml8EKcWvF5thfgQxuz2p4hKzIs3GmzC3hHFxmQJ0V0TtzaKepu1fyelWYvrVhAOEUjFWZbf_ufbc8WnI8ePH_oi_JPYYBOiWg7oDsX26u4itAWJfudbGkG7DyIt4 priority: 102 providerName: Wiley-Blackwell |
| Title | Contrasting patterns in the occurrence and biomass centers of gravity among fish and macroinvertebrates in a continental shelf ecosystem |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fece3.7150 https://www.ncbi.nlm.nih.gov/pubmed/33717441 https://www.proquest.com/docview/2494647757 https://www.proquest.com/docview/2501476605 https://pubmed.ncbi.nlm.nih.gov/PMC7920786 https://doaj.org/article/750c2e8e56f04685b604134e479b660f |
| Volume | 11 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV1Lb9QwEB6VVqBeEG8CZWUQBy4pm9ix4wNCtEpVIVFViJV6ixzHZldakrJpJfoP-NnMOMmqK7a3KJ7Er3H8TTzzDcB7ro2wSaZip7mM6eAsznWOVop0vs4yRbGX5G1xJk9n4utFdrEDY47NYQC7raYd5ZOarZaHf37ffMYF_2kgEP3orOOHKljue7ghKUpk8G1A-f0HmYi8KHCauNcRT2b5yDF0--l9eMA5WjdCJBubVODy3wZA__ejvI1vwwZ18ggeDsiSfelV4THsuOYJ3C8CK_XNU_hLPFQr05GbM7sMrJpNxxYNQwTIWmsDT5N1zDQ1o5h8BNWMakR4yFrPKE0RAnYWkhMxv-jmQfKXwR4sGkrqTCfQiFvplYaRBzziVwq1ZN3cLT1DM7dnjX4Gs5Pix_FpPKRhiC2iCfpKS6WdyI2uUy6nQlkunaoytGONzYWoKz3Vqa0QeNZ1omzife4tN9qmzlYo_Rx2m7ZxL4FVPLXOy1oYR4ZQbYTnnhspfa1QtorgwzjupR04yilVxrLs2ZXTkmarpNmK4N1a9LIn5tgmdESTtxYgLu1wo139LIelWSJmwpbmLpN-KmSeVdjHhAsnlK6knPoIDsapL0f9LNFqFRTDm6kI3q6LcWnSeYtpXHuNMnRmq_AVWQQvek1Zt2TUtAjUhg5tNHWzpFnMA_230iniOoljFbTt7t6XxXHB6eLVndW_hv2UnHSCU90B7F6trt0bRFlX1QTupeJ8AntHxdn590n4VzEJ6-ofVmYn7Q |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1fb9MwED-NTgheEP8JDDAIJF7C0tixkweE2OjUsVEhtEl7C45j00ojKc0mtG_Ap-EzcuckZRWDt71FzdWxc2f7d_Hd7wBe8EwLM0xUaDMuQzo4C9MsRS9FWlcmiaLcS4q2mMjxofhwlBytwa8-F4bCKvs10S_UZW3oG_kmugmCkiYT9Xb-PaSqUXS62pfQaM1iz579QJetebP7HvX7Mo53Rgfb47CrKhAa3Bxp0ZEqsyLVWRlzGQlluLSqSNAt0yYVoiyyKItNgTiqLIfKDJ1LneE6M7E1BUpju1dgXeB_4wGsb40mnz4vv-pEkjjDVE9hFMWb1lj-Wg0pr__cxufrA1wEav-OzTyPmf2mt3MTbnRolb1rzesWrNnqNlwdeabrszvwk7itFrqh0Gk290ydVcNmFUNUyWpjPPeTsUxXJaM8fwTqjJ6IkJPVjlHpI3QCmC94xNysmXrJbxpHMKuoUDSdaiMWpiY1o6h6xMSUvsmaqT12DF3nlon6LhxeihLuwaCqK_sAWMFjY50shbbkXJVaOO64ltKVCmWLAF717z03He85ld84zlvG5jgnFeWkogCeL0XnLdnHRUJbpLylAPFz-x_qxde8m-454jDsaWoT6SIh06TAMQ65sEJlhZSRC2CjV33eLRpN_sfEA3i2vI3Tnc5wdGXrU5Shc2CFTSQB3G8tZdkTztE3R3gbgFqxoZWurt6pZlNPKa6yGLGixHflre3fo89H2yNOFw__P4KncG188HE_39-d7D2C6zFFAvnIvQ0YnCxO7WOEcifFk27-MPhy2VP2N5F1XyI |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtQwEB6VrUBcEP8EChgEEpfQbOzYyQEh2u6qpWhVISr1ljqOza5UkmXTCvUNeCaejhknWbqicOstSkaOnRnb38Qz3wC84pkWZpio0GZchnRwFqZZil6KtK5MEkW5lxRtMZG7h-LjUXK0Br_6XBgKq-zXRL9Ql7Whf-Sb6CYISppEB951YREHO-P38-8hVZCik9a-nEZrIvv2_Ae6b827vR3U9es4Ho--bO-GXYWB0OBGSQuQVJkVqc7KmMtIKMOlVUWCLpo2qRBlkUVZbArEVGU5VGboXOoM15mJrSlQGtu9BuuKvKIBrG-NJgefl394Ikn8YaqnM4riTWssf6uGlON_YRP0tQIuA7h_x2lexM9-AxzfhlsdcmUfWlO7A2u2ugvXR571-vwe_CSeq4VuKIyazT1rZ9WwWcUQYbLaGM8DZSzTVcko5x9BO6M3IvxktWNUBgkdAuaLHzE3a6Ze8pvGEcwqKhpNJ9yIi6lJzSjCHvExpXKyZmpPHEM3umWlvg-HV6KEBzCo6so-Albw2FgnS6EtOVqlFo47rqV0pULZIoA3_XfPTceBTqU4TvKWvTnOSUU5qSiAl0vReUv8cZnQFilvKUBc3f5Gvfiad1M_R0yGPU1tIl0kZJoUOMYhF1aorJAycgFs9KrPuwWkyf-YewAvlo9x6tN5jq5sfYYydCassIkkgIetpSx7wjn66Qh1A1ArNrTS1dUn1Wzq6cVVFiNulPitvLX9e_T5aHvE6eLx_0fwHG7gVM0_7U32n8DNmIKCfBDfBgxOF2f2KaK60-JZN30YHF_1jP0NurljVw |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Contrasting+patterns+in+the+occurrence+and+biomass+centers+of+gravity+among+fish+and+macroinvertebrates+in+a+continental+shelf+ecosystem&rft.jtitle=Ecology+and+evolution&rft.au=Friedland%2C+Kevin+D&rft.au=Smoli%C5%84ski%2C+Szymon&rft.au=Tanaka%2C+Kisei+R&rft.date=2021-03-01&rft.issn=2045-7758&rft.eissn=2045-7758&rft.volume=11&rft.issue=5&rft.spage=2050&rft_id=info:doi/10.1002%2Fece3.7150&rft_id=info%3Apmid%2F33717441&rft.externalDocID=33717441 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-7758&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-7758&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-7758&client=summon |