A comparison of VMS and AIS data: the effect of data coverage and vessel position recording frequency on estimates of fishing footprints
Abstract Understanding the distribution of fishing activity is fundamental to quantifying its impact on the seabed. Vessel monitoring system (VMS) data provides a means to understand the footprint (extent and intensity) of fishing activity. Automatic Identification System (AIS) data could offer a hi...
Saved in:
Published in | ICES journal of marine science Vol. 75; no. 3; pp. 988 - 998 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford University Press
01.05.2018
|
Subjects | |
Online Access | Get full text |
ISSN | 1054-3139 1095-9289 |
DOI | 10.1093/icesjms/fsx230 |
Cover
Abstract | Abstract
Understanding the distribution of fishing activity is fundamental to quantifying its impact on the seabed. Vessel monitoring system (VMS) data provides a means to understand the footprint (extent and intensity) of fishing activity. Automatic Identification System (AIS) data could offer a higher resolution alternative to VMS data, but differences in coverage and interpretation need to be better understood. VMS and AIS data were compared for individual scallop fishing vessels. There were substantial gaps in the AIS data coverage; AIS data only captured 26% of the time spent fishing compared to VMS data. The amount of missing data varied substantially between vessels (45–99% of each individuals' AIS data were missing). A cubic Hermite spline interpolation of VMS data provided the greatest similarity between VMS and AIS data. But the scale at which the data were analysed (size of the grid cells) had the greatest influence on estimates of fishing footprints. The present gaps in coverage of AIS may make it inappropriate for absolute estimates of fishing activity. VMS already provides a means of collecting more complete fishing position data, shielded from public view. Hence, there is an incentive to increase the VMS poll frequency to calculate more accurate fishing footprints. |
---|---|
AbstractList | Understanding the distribution of fishing activity is fundamental to quantifying its impact on the seabed. Vessel monitoring system (VMS) data provides a means to understand the footprint (extent and intensity) of fishing activity. Automatic Identification System (AIS) data could offer a higher resolution alternative to VMS data, but differences in coverage and interpretation need to be better understood. VMS and AIS data were compared for individual scallop fishing vessels. There were substantial gaps in the AIS data coverage; AIS data only captured 26% of the time spent fishing compared to VMS data. The amount of missing data varied substantially between vessels (45-99% of each individuals' AIS data were missing). A cubic Hermite spline interpolation of VMS data provided the greatest similarity between VMS and AIS data. But the scale at which the data were analysed (size of the grid cells) had the greatest influence on estimates of fishing footprints. The present gaps in coverage of AIS may make it inappropriate for absolute estimates of fishing activity. VMS already provides a means of collecting more complete fishing position data, shielded from public view. Hence, there is an incentive to increase the VMS poll frequency to calculate more accurate fishing footprints. Abstract Understanding the distribution of fishing activity is fundamental to quantifying its impact on the seabed. Vessel monitoring system (VMS) data provides a means to understand the footprint (extent and intensity) of fishing activity. Automatic Identification System (AIS) data could offer a higher resolution alternative to VMS data, but differences in coverage and interpretation need to be better understood. VMS and AIS data were compared for individual scallop fishing vessels. There were substantial gaps in the AIS data coverage; AIS data only captured 26% of the time spent fishing compared to VMS data. The amount of missing data varied substantially between vessels (45–99% of each individuals' AIS data were missing). A cubic Hermite spline interpolation of VMS data provided the greatest similarity between VMS and AIS data. But the scale at which the data were analysed (size of the grid cells) had the greatest influence on estimates of fishing footprints. The present gaps in coverage of AIS may make it inappropriate for absolute estimates of fishing activity. VMS already provides a means of collecting more complete fishing position data, shielded from public view. Hence, there is an incentive to increase the VMS poll frequency to calculate more accurate fishing footprints. |
Author | Murray, Lee G Bell, Ewen Shepperson, Jennifer L Szostek, Claire L Kaiser, Michel J Hintzen, Niels T |
Author_xml | – sequence: 1 givenname: Jennifer L surname: Shepperson fullname: Shepperson, Jennifer L email: j.shepperson@bangor.ac.uk organization: School of Ocean Sciences, Askew Street, Menai Bridge, Anglesey LL59 5AB, UK – sequence: 2 givenname: Niels T surname: Hintzen fullname: Hintzen, Niels T organization: IMARES, Wageningen UR, PO Box 68, 1970 AB IJmuiden, The Netherlands – sequence: 3 givenname: Claire L surname: Szostek fullname: Szostek, Claire L organization: School of Ocean Sciences, Askew Street, Menai Bridge, Anglesey LL59 5AB, UK – sequence: 4 givenname: Ewen surname: Bell fullname: Bell, Ewen organization: Centre for Environment, Fisheries, and Aquaculture Science, Pakefield Road, Lowestoft, Suffolk NR33 0HT, UK – sequence: 5 givenname: Lee G surname: Murray fullname: Murray, Lee G organization: School of Ocean Sciences, Askew Street, Menai Bridge, Anglesey LL59 5AB, UK – sequence: 6 givenname: Michel J surname: Kaiser fullname: Kaiser, Michel J organization: School of Ocean Sciences, Askew Street, Menai Bridge, Anglesey LL59 5AB, UK |
BookMark | eNqFkU9PHSEUxUljk6p12zXbLkaZgZkBdy-mrSY2Lmzdkju8i2LmwRR4_vkG_diCz1WTxrC45HB-h3tzD8ieDx4J-dKy45YpfuIMpvtNOrHpqePsA9kvat-oTqq9eu9Fw1uuPpGDlO4ZY6MY2D75u6ImbBaILgVPg6U3P68p-DVdXVzTNWQ4pfkOKVqLJtf3qhXkASPc4qvzAVPCmS4huexKSEQT4tr5W2oj_tmiN8-0yJiy20DGVFOsS3evjhDyEp3P6TP5aGFOePRWD8nv799-nZ03l1c_Ls5Wl43hiuWmHawYOXRCKMnlAGIcYGJ8kgNna1mPAga9Ev3IxSANmm7oOhjbVkrFpoEfktNd7mPp35ce0GsP0bikAzg9uylCfNaP26j9XMuynZLuuezUWGCxg00MKUW02rgMdeocwc26ZbquQr-tQu9WUbDjf7Ay86Z-81_g6w4I2-U97wuPcaK7 |
CitedBy_id | crossref_primary_10_1109_LGRS_2021_3084183 crossref_primary_10_1126_sciadv_adn3874 crossref_primary_10_1016_j_jenvman_2023_117510 crossref_primary_10_3390_jmse9030322 crossref_primary_10_1016_j_marenvres_2023_105993 crossref_primary_10_1016_j_apor_2020_102271 crossref_primary_10_1016_j_rsma_2025_104141 crossref_primary_10_3389_fmars_2022_892892 crossref_primary_10_1007_s10707_022_00463_4 crossref_primary_10_1017_S037346332400033X crossref_primary_10_1093_icesjms_fsz073 crossref_primary_10_1016_j_oceaneng_2024_119439 crossref_primary_10_1016_j_ocecoaman_2021_105751 crossref_primary_10_1093_icesjms_fsae173 crossref_primary_10_1016_j_ecolind_2020_107051 crossref_primary_10_1111_ddi_13130 crossref_primary_10_1016_j_ocecoaman_2020_105231 crossref_primary_10_3389_fmars_2022_782923 crossref_primary_10_1139_cjz_2018_0248 crossref_primary_10_1016_j_oceaneng_2022_113036 crossref_primary_10_47172_2965_730X_SDGsReview_v5_n01_pe03415 crossref_primary_10_3390_s24030781 crossref_primary_10_1016_j_seares_2022_102255 crossref_primary_10_1038_s41586_019_1444_4 crossref_primary_10_1038_s43017_024_00516_2 crossref_primary_10_1002_mcf2_10279 crossref_primary_10_1109_ACCESS_2023_3234121 crossref_primary_10_3389_fsufs_2023_1152226 crossref_primary_10_1093_icesjms_fsae006 crossref_primary_10_1016_j_oceaneng_2024_119722 crossref_primary_10_1016_j_marpolbul_2023_115398 crossref_primary_10_46384_jmsf_1209173 crossref_primary_10_1016_j_marpol_2022_105390 crossref_primary_10_1016_j_fishres_2023_106730 crossref_primary_10_1016_j_marenvres_2023_105935 crossref_primary_10_1371_journal_pone_0266170 crossref_primary_10_1016_j_marpol_2023_105852 crossref_primary_10_1016_j_marpol_2023_105976 crossref_primary_10_1016_j_pocean_2024_103355 crossref_primary_10_1016_j_ocecoaman_2022_106265 crossref_primary_10_1016_j_ocecoaman_2019_04_005 crossref_primary_10_1002_aqc_70003 crossref_primary_10_1073_pnas_1802379115 crossref_primary_10_3389_fmars_2020_580612 crossref_primary_10_1002_aqc_3685 crossref_primary_10_1016_j_fishres_2023_106858 crossref_primary_10_1002_ecs2_70050 crossref_primary_10_1016_j_envdev_2025_101192 crossref_primary_10_1371_journal_pone_0208338 crossref_primary_10_1007_s11277_020_07200_w crossref_primary_10_1016_j_rsma_2022_102511 crossref_primary_10_1109_TGRS_2022_3227938 crossref_primary_10_1016_j_marpolbul_2021_112861 crossref_primary_10_1093_icesjms_fsad008 crossref_primary_10_3390_rs11192196 crossref_primary_10_1016_j_ecolind_2020_106617 crossref_primary_10_1371_journal_pone_0282374 crossref_primary_10_1016_j_tre_2023_103229 crossref_primary_10_1016_j_marpol_2023_105748 crossref_primary_10_3390_su13073769 crossref_primary_10_1155_2022_5954483 crossref_primary_10_1093_icesjms_fsaf033 crossref_primary_10_3354_meps13244 crossref_primary_10_1016_j_ocecoaman_2022_106136 crossref_primary_10_1016_j_ecoinf_2021_101384 crossref_primary_10_3389_fmars_2022_824857 crossref_primary_10_1093_icesjms_fsad092 crossref_primary_10_1109_ACCESS_2024_3416389 |
Cites_doi | 10.3354/meps09067 10.1093/icesjms/fsn073 10.1016/j.fishres.2009.09.014 10.3354/meps311001 10.1111/faf.12134 10.1093/icesjms/fst099 10.1093/icesjms/fsv099 10.3354/meps09064 10.1093/icesjms/fss162 10.1111/j.1467-2979.2012.00475.x 10.1093/icesjms/fss018 10.1093/icesjms/fst017 10.1126/science.aad5686 10.1016/j.ecolind.2016.04.043 10.1016/S1054-3139(03)00010-9 10.1093/icesjms/fsq010 10.1371/journal.pone.0130746 10.1093/icesjms/fsw194 10.1016/j.fishres.2011.11.007 |
ContentType | Journal Article |
Copyright | International Council for the Exploration of the Sea 2017. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 Wageningen University & Research |
Copyright_xml | – notice: International Council for the Exploration of the Sea 2017. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 – notice: Wageningen University & Research |
DBID | AAYXX CITATION QVL |
DOI | 10.1093/icesjms/fsx230 |
DatabaseName | CrossRef NARCIS:Publications |
DatabaseTitle | CrossRef |
DatabaseTitleList | CrossRef |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Agriculture Oceanography |
EISSN | 1095-9289 |
EndPage | 998 |
ExternalDocumentID | oai_library_wur_nl_wurpubs_538297 10_1093_icesjms_fsx230 10.1093/icesjms/fsx230 |
GrantInformation_xml | – fundername: Bangor University funderid: 10.13039/501100003547 |
GroupedDBID | -~X .2P .I3 0R~ 18M 2WC 4.4 482 48X 5GY 5VS 5WA 70D AAFWJ AAIMJ AAJKP AAJQQ AAMDB AAMVS AAOGV AAPQZ AAPXW AASNB AAUQX AAVAP AAVLN ABEUO ABIXL ABJNI ABNKS ABPPZ ABPTD ABQLI ABWST ABXVV ABZBJ ACGFS ACUFI ADBBV ADEYI ADEZT ADFTL ADGZP ADHKW ADHZD ADOCK ADPDF ADQBN ADRIX ADRTK ADYVW ADZTZ ADZXQ AEGPL AEJOX AEKSI AELWJ AEMDU AENEX AENZO AEPUE AETBJ AEWNT AFFZL AFIYH AFOFC AFPKN AFXEN AGINJ AGKEF AGQXC AGSYK AHXPO AIJHB AKHUL AKWXX ALMA_UNASSIGNED_HOLDINGS ALUQC APIBT APWMN ARIXL AXUDD AYOIW BAYMD BCRHZ BEYMZ BHONS BQDIO BSWAC C45 CDBKE CS3 CZ4 DAKXR DILTD DU5 D~K E3Z EBS ECGQY EE~ EJD ESX F9B FHSFR FLUFQ FOEOM FQBLK GAUVT GJXCC H13 H5~ HAR HW0 HZ~ IOX J21 KAQDR KBUDW KOP KSI KSN M-Z ML0 N9A NGC NLBLG NOMLY O9- OAWHX ODMLO OJQWA OK1 OVD OVEED P2P PAFKI PEELM Q1. Q5Y RD5 ROL ROX ROZ RUSNO RW1 RXO TCN TEORI TLC TOX W8F WOQ X7H YAYTL YK3 YKOAZ YXANX ZMT ~91 AAYXX ABEJV ABGNP AMNDL CITATION GROUPED_DOAJ JXSIZ --K 1B1 1TH 29I 5WD 6.Y 6TJ AABJS AABMN AAESY AAIYJ AANRK AAPBV AAWDT ABPTK ABQTQ ABSAR ABSMQ ACFRR ACPQN ACUTJ ADEIU ADGKP ADIPN ADORX ADQLU ADVEK AEKPW AELNO AFGWE AGKRT AHGVY AI. AIKOY AJEEA ANFBD AQDSO ASAOO ATDFG ATTQO AZQFJ BYORX C1A CAG COF CXTWN DFGAJ DPORF DPPUQ ELUNK FEDTE HVGLF IHE IPNFZ KC5 LG5 M49 MBTAY NQ- NU- NVLIB OBOKY OOVWX OWPYF PB- QBD QVL RIG RPZ SEW UHS VH1 XPP |
ID | FETCH-LOGICAL-c390t-16f473a24498386a476ab03b8630d8d8d89a0a594573468cec2622a7118890b63 |
IEDL.DBID | TOX |
ISSN | 1054-3139 |
IngestDate | Thu Oct 13 09:31:46 EDT 2022 Thu Apr 24 23:06:12 EDT 2025 Tue Jul 01 04:05:16 EDT 2025 Wed Sep 11 04:48:08 EDT 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 3 |
Keywords | extent vessel monitoring system automatic identification system fisheries footprint scallop dredging |
Language | English |
License | This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c390t-16f473a24498386a476ab03b8630d8d8d89a0a594573468cec2622a7118890b63 |
PageCount | 11 |
ParticipantIDs | wageningen_narcis_oai_library_wur_nl_wurpubs_538297 crossref_citationtrail_10_1093_icesjms_fsx230 crossref_primary_10_1093_icesjms_fsx230 oup_primary_10_1093_icesjms_fsx230 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2018-05-01 |
PublicationDateYYYYMMDD | 2018-05-01 |
PublicationDate_xml | – month: 05 year: 2018 text: 2018-05-01 day: 01 |
PublicationDecade | 2010 |
PublicationTitle | ICES journal of marine science |
PublicationYear | 2018 |
Publisher | Oxford University Press |
Publisher_xml | – name: Oxford University Press |
References | Gerritsen (2019120608150664000_fsx230-B7) 2013; 70 Lambert (2019120608150664000_fsx230-B14) 2012; 69 Dinmore (2019120608150664000_fsx230-B2) 2003; 60 Eigaard (2019120608150664000_fsx230-B4) 2016; 73(Suppl 1) Hintzen (2019120608150664000_fsx230-B9) 2012; 115–116 Kaiser (2019120608150664000_fsx230-B13) 2016; 17 EC (2019120608150664000_fsx230-B3) 2009 Russo (2019120608150664000_fsx230-B22) 2016; 69 Eigaard (2019120608150664000_fsx230-B5) 2017; 74 Hintzen (2019120608150664000_fsx230-B8) 2010; 101 Hinz (2019120608150664000_fsx230-B10) 2013; 14 Foden (2019120608150664000_fsx230-B6) 2011; 428 Piet (2019120608150664000_fsx230-B21) 2012; 69 Stelzenmuller (2019120608150664000_fsx230-B23) 2008; 65 Lee (2019120608150664000_fsx230-B15) 2010; 67 Murray (2019120608150664000_fsx230-B17) 2013; 70 Murray (2019120608150664000_fsx230-B18) 2011; 430 Natale (2019120608150664000_fsx230-B19) 2015; 10 Kaiser (2019120608150664000_fsx230-B12) 2006; 311 McCauley (2019120608150664000_fsx230-B16) 2016; 351 |
References_xml | – year: 2009 ident: 2019120608150664000_fsx230-B3 – volume: 430 start-page: 157 year: 2011 ident: 2019120608150664000_fsx230-B18 article-title: Functional response of fishers in the Isle of Man scallop fishery publication-title: Marine Ecology Progress Series doi: 10.3354/meps09067 – volume: 65 start-page: 1081 year: 2008 ident: 2019120608150664000_fsx230-B23 article-title: Spatio-temporal patterns of fishing pressure on UK marine landscapes, and their implications for spatial planning and management publication-title: ICES Journal of Marine Science doi: 10.1093/icesjms/fsn073 – volume: 101 start-page: 108 year: 2010 ident: 2019120608150664000_fsx230-B8 article-title: Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data publication-title: Fisheries Research doi: 10.1016/j.fishres.2009.09.014 – volume: 311 start-page: 1 year: 2006 ident: 2019120608150664000_fsx230-B12 article-title: Global analysis of response and recovery of benthic biota to fishing publication-title: Marine Ecology Progress Series doi: 10.3354/meps311001 – volume: 17 start-page: 637 year: 2016 ident: 2019120608150664000_fsx230-B13 article-title: Prioritization of knowledge-needs to achieve best practices for bottom trawling in relation to seabed habitats publication-title: Fish and Fisheries doi: 10.1111/faf.12134 – volume: 70 start-page: 1330 year: 2013 ident: 2019120608150664000_fsx230-B17 article-title: The effectiveness of using CPUE data derived from Vessel Monitoring Systems and fisheries logbooks to estimate scallop biomass publication-title: ICES Journal of Marine Science doi: 10.1093/icesjms/fst099 – volume: 73(Suppl 1) start-page: 27 year: 2016 ident: 2019120608150664000_fsx230-B4 article-title: Estimating seabed pressure from demersal trawls, seines, and dredges based on gear design and dimensions publication-title: ICES Journal of Marine Science doi: 10.1093/icesjms/fsv099 – volume: 428 start-page: 33 year: 2011 ident: 2019120608150664000_fsx230-B6 article-title: Human pressures on UK seabed habitats: a cumulative impact assessment publication-title: Marine Ecological Progress Series doi: 10.3354/meps09064 – volume: 69 start-page: 1850 year: 2012 ident: 2019120608150664000_fsx230-B21 article-title: Indicators of fishing pressure and seafloor integrity publication-title: ICES Journal of Marine Science doi: 10.1093/icesjms/fss162 – volume: 14 start-page: 110 year: 2013 ident: 2019120608150664000_fsx230-B10 article-title: Confidentiality over fishing effort data threatens science and management progress publication-title: Fish and Fisheries doi: 10.1111/j.1467-2979.2012.00475.x – volume: 69 start-page: 682 year: 2012 ident: 2019120608150664000_fsx230-B14 article-title: Implications of using alternative methods of vessel monitoring system (VMS) data analysis to describe fishing activities and impacts publication-title: ICES Journal of Marine Science doi: 10.1093/icesjms/fss018 – volume: 70 start-page: 523 year: 2013 ident: 2019120608150664000_fsx230-B7 article-title: How much of the seabed is impacted by mobile fishing gear? Absolute estimates from Vessel Monitoring System (VMS) point data publication-title: ICES Journal of Marine Science doi: 10.1093/icesjms/fst017 – volume: 351 start-page: 1148 year: 2016 ident: 2019120608150664000_fsx230-B16 article-title: Ending hide and seek at sea publication-title: Science doi: 10.1126/science.aad5686 – volume: 69 start-page: 818 year: 2016 ident: 2019120608150664000_fsx230-B22 article-title: Assessing the fishing footpring using data integrated from different tracking devices: Issues and opportunities publication-title: Ecological Indicators doi: 10.1016/j.ecolind.2016.04.043 – volume: 60 start-page: 371 year: 2003 ident: 2019120608150664000_fsx230-B2 article-title: Impact of a large-scale area closure on patterns of fishing disturbance and the consequences for benthic communities publication-title: ICES Journal of Marine Science doi: 10.1016/S1054-3139(03)00010-9 – volume: 67 start-page: 1260 year: 2010 ident: 2019120608150664000_fsx230-B15 article-title: Developing reliable, repeatable, and accessible methods to provide high-resolution estimates of fishing-effort distributions from vessel monitoring system (VMS) data publication-title: ICES Journal of Marine Science doi: 10.1093/icesjms/fsq010 – volume: 10 start-page: 1 year: 2015 ident: 2019120608150664000_fsx230-B19 article-title: Mapping fishing effort through AIS data publication-title: PLoS ONE doi: 10.1371/journal.pone.0130746 – volume: 74 start-page: 847 year: 2017 ident: 2019120608150664000_fsx230-B5 article-title: The footprint of bottom trawling in European waters: distribution, intensity and seabed integrity publication-title: ICES Journal of Marine Science doi: 10.1093/icesjms/fsw194 – volume: 115–116 start-page: 31 year: 2012 ident: 2019120608150664000_fsx230-B9 article-title: VMStools: open-source software for the processing, analysis and visualisation of fisheries logbook and VMS data publication-title: Fisheries Research doi: 10.1016/j.fishres.2011.11.007 |
SSID | ssj0007460 |
Score | 2.4970064 |
Snippet | Abstract
Understanding the distribution of fishing activity is fundamental to quantifying its impact on the seabed. Vessel monitoring system (VMS) data... Understanding the distribution of fishing activity is fundamental to quantifying its impact on the seabed. Vessel monitoring system (VMS) data provides a means... |
SourceID | wageningen crossref oup |
SourceType | Open Access Repository Enrichment Source Index Database Publisher |
StartPage | 988 |
SubjectTerms | automatic identification system extent fisheries footprint scallop dredging vessel monitoring system |
Title | A comparison of VMS and AIS data: the effect of data coverage and vessel position recording frequency on estimates of fishing footprints |
URI | http://www.narcis.nl/publication/RecordID/oai:library.wur.nl:wurpubs%2F538297 |
Volume | 75 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1ZS8QwEA7ikwriiTdBBJ-K3ZyNb4u4qKA-eLBvIUlTQdaubLse_8Cf7WTTXQ8UpQ-l6SSEzmQyncx8g9AeywmlIucJF04lTHibGE7hMbeK25YlzIQE5_MLcXLDzrq824BFVz8c4St6EBbM_UN1UFQvYC-DtoUdOEj09WV3onMli_nAYICAVqFqAs_4vfuX7SemtM08w8otR6lMn7aWzgKab2xC3I5MXERTvlxCs-27QYOL4ZfQ3KXzpmzgpZfRWxu7SQFB3C_w7fkVNmWO26dXOAR9HmIw7HAM1gjvQxt0AbmFWYwonwJoeA-Pg7Zw9NbA_HAxiOHVrxiaAwjHQ7BHwyhFdFjhot-vg0OwrlbQTef4-ugkaWoqJI6qtE5aomCSGtjUVUYzYZgUxqbUZoKmeRYuZVLDFeOSMpE574ggxEj4D8lUagVdRdNlv_RrCBMifVZYoOeSKWOMYJZ76ainypGWW0fJ-FNr1wCOh7oXPR0PvqluWKMja9bR_oT-MUJt_Eq5C5z7k4h-MFaXoTJTpQOYduMe08_DgS574QaSX2nQ_ETJjf8MvYlmwG7KYtzjFpquB0O_DbZJbXdGYvkOxSPn3Q |
linkProvider | Oxford University Press |
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=A+comparison+of+VMS+and+AIS+data+%3A+The+effect+of+data+coverage+and+vessel+position+recording+frequency+on+estimates+of+fishing+footprints&rft.jtitle=ICES+journal+of+marine+science&rft.au=Shepperson%2C+Jennifer+L&rft.au=Hintzen%2C+Niels+T&rft.au=Szostek%2C+Claire+L&rft.au=Bell%2C+Ewen&rft.date=2018-05-01&rft.issn=1054-3139&rft.eissn=1095-9289&rft.volume=75&rft.issue=3&rft_id=info:doi/10.1093%2Ficesjms%2Ffsx230&rft.externalDBID=n%2Fa&rft.externalDocID=oai_library_wur_nl_wurpubs_538297 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1054-3139&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1054-3139&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1054-3139&client=summon |