scholarly journals Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution

2010 ◽  
Vol 68 (1) ◽  
pp. 245-252 ◽  
Author(s):  
Hans Gerritsen ◽  
Colm Lordan
Keyword(s):  
Spatial Distribution ◽  
High Resolution ◽  
Practical Method ◽  
Monitoring Systems ◽  
Catch Per Unit Effort ◽  
Fishing Activity ◽  
Distribution Maps ◽  
Catch Data ◽  
Fishing Vessels ◽  
Logbook Data

Abstract Gerritsen, H., and Lordan, C. 2011. Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution. – ICES Journal of Marine Science, 68: 245–252. Vessel monitoring systems (VMS) automatically collect positional data from fishing vessels, and the data can be linked to catch data from logbooks to provide a census of spatially resolved catch-and-effort data. The most appropriate and practical method for integrating Irish VMS and logbook data is explored and validated. A simple speed rule is applied to identify VMS records that correspond to fishing activity. The VMS data are then integrated with the catch data from logbooks using date and vessel identifier. Several assumptions were investigated, and the resulting distribution maps of catch and effort appear to be unbiased. The method is illustrated with an example of a time-series of spatially explicit estimates of catch per unit effort. The proposed method is relatively simple and does not require specialist software or computationally intensive methods. It will be possible to generalize this approach to similar datasets that are available within the EU and many other regions. Analysis of integrated VMS and logbook data will allow fisheries data to be analysed on a considerably finer spatial scale than was possible previously, opening up a range of potential applications.

Movement Dynamics in a Fishery: Application of the Ideal Free Distribution to Spatial Allocation of Effort

1993 ◽  
Vol 50 (2) ◽  
pp. 323-333 ◽  
Author(s):  
Darren M. Gillis ◽  
Randall M. Peterman ◽  
Albert V. Tyler
Keyword(s):  
Spatial Distribution ◽  
Ideal Free Distribution ◽  
Fishing Effort ◽  
Catch Per Unit Effort ◽  
Exploitation Competition ◽  
Spatial Allocation ◽  
Free Distribution ◽  
Fishing Vessels ◽  
Ideal Free ◽  
The Ideal

Many traditional analyses of fisheries data assume that there is a negligible effect of alternative fish stocks on the spatial distribution of fishing effort and that the amount of local effort does not influence catchability. There is growing evidence that contradicts these assumptions. Because of the potential biases that these erroneous assumptions may cause in the interpretation of catch-per-unit-effort (CPUE) statistics, it is important to determine the factors governing the spatial distribution of effort in a fishery. We used data on the Hecate Strait, British Columbia, Canada, trawl fishery to test hypotheses about spatial allocation of effort and interaction among fishing vessels. The ideal free distribution of Fretwell and Lucas (1970. Acta Biotheor. 19: 16–36) was the foundation for deriving these tests. We found evidence for competition among vessels, although we could not distinguish whether the mechanism was interference or exploitation competition. As well, CPUE was generally equalized among the areas fished, as predicted by the ideal free distribution, because of movement of boats among areas. Thus, area-specific CPUE would not be a reliable index of relative abundance of fish in different areas; relative fishing effort may be better.

scholarly journals Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
G. Guo ◽  
M. Papanicolaou ◽  
N. J. Demarais ◽  
Z. Wang ◽  
K. L. Schey ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
High Resolution ◽  
Mass Spectrometry Imaging ◽  
Direct Detection ◽  
High Mass ◽  
Imaging Data ◽  
Distribution Maps ◽  
Automated Annotation ◽  
Peptide Mass

AbstractSpatial proteomics has the potential to significantly advance our understanding of biology, physiology and medicine. Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is a powerful tool in the spatial proteomics field, enabling direct detection and registration of protein abundance and distribution across tissues. MALDI-MSI preserves spatial distribution and histology allowing unbiased analysis of complex, heterogeneous tissues. However, MALDI-MSI faces the challenge of simultaneous peptide quantification and identification. To overcome this, we develop and validate HIT-MAP (High-resolution Informatics Toolbox in MALDI-MSI Proteomics), an open-source bioinformatics workflow using peptide mass fingerprint analysis and a dual scoring system to computationally assign peptide and protein annotations to high mass resolution MSI datasets and generate customisable spatial distribution maps. HIT-MAP will be a valuable resource for the spatial proteomics community for analysing newly generated and retrospective datasets, enabling robust peptide and protein annotation and visualisation in a wide array of normal and disease contexts.

scholarly journals Trends in cpue and related changes in spatial distribution of demersal fish species in the Kattegat and Skagerrak, eastern North Sea, between 1981 and 2003

2005 ◽  
Vol 62 (4) ◽  
pp. 671-682 ◽  
Author(s):  
Michele Casini ◽  
Massimiliano Cardinale ◽  
Joakim Hjelm ◽  
Francesca Vitale
Keyword(s):  
Spatial Distribution ◽  
Fish Species ◽  
General Pattern ◽  
Demersal Fish ◽  
Average Weight ◽  
Trawl Survey ◽  
Catch Per Unit Effort ◽  
Distribution Maps ◽  
Increasing Trend ◽  
Commercial Species

Abstract We explored the trends in ln-transformed catch per unit effort, defined as average weight (kg) per 1 h trawling, and the spatial distribution of 32 demersal fish species in the Kattegat and Skagerrak using International Bottom Trawl Survey data collected between 1981 and 2003. As in other areas, the biomass of roundfish species such as cod, pollack, hake, and ling drastically decreased during this period most likely owing to fishing pressure. However, other commercially important fish species, e.g. haddock, whiting, and some flatfish, showed a constant or increasing trend during the same period. Non-commercial species showed no or an increasing trend in ln-cpue, by as much as 40 times in hagfish. Furthermore, analyses of the spatial distribution of 14 selected fish species by means of distribution maps of ln-cpue suggested that fish stocks contracted and expanded in response to decrease and increase of the stock biomass, respectively, with some flatfish species (i.e. plaice and flounder) and hagfish representing the exceptions to this general pattern.

scholarly journals The effectiveness of using CPUE data derived from Vessel Monitoring Systems and fisheries logbooks to estimate scallop biomass

2013 ◽  
Vol 70 (7) ◽  
pp. 1330-1340 ◽  
Author(s):  
Lee G. Murray ◽  
Hilmar Hinz ◽  
Natalie Hold ◽  
Michel J. Kaiser
Keyword(s):  
Time Management ◽  
Dependent Data ◽  
Research Vessel ◽  
Monitoring Systems ◽  
Catch Per Unit Effort ◽  
Fishing Season ◽  
Research Survey ◽  
Fishing Vessels ◽  
Stock Assessments ◽  
Survey Results

Abstract Murray, L. G., Hinz, H., Hold, N., and Kaiser, M. J. 2013. The effectiveness of using CPUE data derived from Vessel Monitoring Systems and fisheries logbooks to estimate scallop biomass. – ICES Journal of Marine Science, 70: . Obtaining accurate data on abundance is vital to undertaking viable stock assessments of commercially exploited species. Satellite Vessel Monitoring Systems (VMSs) combined with fisheries logbooks have the potential to provide an abundant source of data with greater spatial and temporal coverage than research surveys. However, to date it has not been demonstrated how well VMS-derived abundance or biomass indices reflect research survey results. In this study we compared biomass indices of scallops derived from (i) fishing vessel surveys, (ii) research vessel surveys, and (iii) fishery-dependent data using VMSs and logbooks. In most cases there were strong relationships between biomass indices of Pecten maximus from fishing vessels and the research vessel. There were stronger relationships between P. maximus biomass indices from fishery-dependent VMS and logbook data and research vessel data at the beginning of the fishing season, when abundance was higher, but weaker relationships at the end of the fishing season. The time and location of sampling affected biomass estimates over short periods, and without standardizing to location and vessel, biomass depletion was masked. Fishery-dependent data provides a valid means of assessing relative scallop abundance and may prove equally viable in other fisheries with appropriate standardization of Catch Per Unit Effort (CPUE) data, making real-time management of fisheries increasingly feasible.

scholarly journals Developing reliable, repeatable, and accessible methods to provide high-resolution estimates of fishing-effort distributions from vessel monitoring system (VMS) data

2010 ◽  
Vol 67 (6) ◽  
pp. 1260-1271 ◽  
Author(s):  
Janette Lee ◽  
Andy B. South ◽  
Simon Jennings
Keyword(s):  
High Resolution ◽  
Monitoring System ◽  
Environmental Assessment ◽  
Temporal Distribution ◽  
Fishing Effort ◽  
Monitoring Systems ◽  
Time Interval ◽  
Spatial And Temporal Distribution ◽  
Fishing Activity ◽  
Accessible Method

Abstract Lee, J., South, A. B., and Jennings, S. 2010. Developing reliable, repeatable, and accessible methods to provide high-resolution estimates of fishing-effort distributions from vessel monitoring system (VMS) data. – ICES Journal of Marine Science, 67: 1260–1271. Vessel monitoring systems (VMS) are used primarily for fisheries enforcement purposes, but also provide information on the spatial and temporal distribution of fishing activity for use in fisheries and environmental assessment and management. A reliable, repeatable, and accessible method using readily available software for estimating fishing effort from unprocessed VMS data is developed, tested, and applied. Caveats associated with the method are identified, and the biases introduced by our assumptions are quantified. Application of the method provides a high-resolution description of gear-specific fishing activity by UK vessels. An index is developed to describe variation in the spatial pattern of fishing effort generated by different gears. The proposed method for VMS analysis involves removing duplicate VMS records and records close to ports, calculating the time interval between successive records to identify periods of activity, linking each record to a vessel and gear type, differentiating fishing and non-fishing activity, and summing fishing records in time and space to estimate fishing effort. The approach is a step towards the development of standardized methods to facilitate wider exchange and use of European VMS data. A clear audit trail for the methods of VMS analysis already used to inform management needs to be documented.

scholarly journals FAKTOR-FAKTOR PENTING YANG MEMPENGARUHI CPUE (Catch Per Unit Effort) PERIKANAN HUHATE BERBASIS DI BITUNG

2016 ◽  
Vol 22 (1) ◽  
pp. 43
Author(s):  
Agus Setiyawan ◽  
Lilis Sadiyah ◽  
Syarief Samsuddin
Keyword(s):  
Generalized Linear Model ◽  
Linear Models ◽  
Catch Per Unit Effort ◽  
Katsuwonus Pelamis ◽  
Fishing Vessels ◽  
Unit Effort ◽  
Landing Sites ◽  
Technical Factors ◽  
Live Bait ◽  
Logbook Data

<p>Bitung merupakan salah satu sentra pendaratan untuk perikanan huhate. Perikanan huhate bergantung terhadap ketersediaan umpan ikan hidup dan beberapa faktor teknis. Penelitian ini bertujuan untuk mengkaji faktor yang paling berpengaruh terhadap hasil tangkapan per upaya penangkapan (CPUE) ikan cakalang (<em>Katsuwonus pelamis - </em>SKJ). Pengambilan data primer dilaksanakan di atas kapal huhate dari Januari – Mei 2013 yang berbasis di Pelabuhan Perikanan Bitung – Sulawesi Utara. Data logbook kapal serta data harian kapal diperoleh pada saat melakukan pemancingan. Analisis data dilakukan dengan menggunakan analisis <em>Generalized Linear Models</em> (GLM), uji korelasi dan regresi sederhana. Hasil penelitian ini menunjukkan bahwa terdapat empat faktor signifikan berpengaruh terhadap nilai CPUE cakalang (SKJ). Faktor pertama adalah jenis umpan hidup yang digunakan berpengaruh secara signifikan terhadap CPUE SKJ (P&lt; 0,01). Jenis umpan hidup yang berpengaruh signifikan adalah jenis ikan layang dicampur dengan puri merah. Ketiga faktor lainya yaitu suhu permukaan laut (SPL), jumlah pemancing dan daerah penangkapan mempengaruhi CPUE SKJ dengan nilai P &lt; 0.05.</p><p><strong> </strong><em>Bitung is one of the main landing sites for pole and line fishing vessels. The<strong> </strong>pole and line fisheries depend on the availability of live fish bait and some technical factors. Objective of this study is to assess several factors that may influence catch per unit effort (CPUE) of skipjack (Katsuwonus pelamis – SKJ). Logbook data and record of daily vessel activities during fishing from January – May 2013 were used in the analysis. The data were analyzed using generalized linear model (GLM), correlation and regression. The results showed that type of live bait was significantly affect the SKJ CPUE (P&lt;0.01). Round scad (Decapterus spp) mixed with anchovy (Stelophorus spp) were giving higher SKJ CPUE as live bait. In addition, sea surface temperature, number of fishers, and fishing location also affect the SKJ CPUE with P &lt;0.05.   </em></p>

scholarly journals Identifying fishing grounds from vessel tracks: model-based inference for small scale fisheries

2019 ◽  
Vol 6 (10) ◽  
pp. 191161 ◽  
Author(s):  
Tania Mendo ◽  
Sophie Smout ◽  
Theoni Photopoulou ◽  
Mark James
Keyword(s):  
Spatial Distribution ◽  
Low Cost ◽  
Gaussian Mixture ◽  
Accurate Estimation ◽  
Small Scale ◽  
Fishing Activity ◽  
Small Vessels ◽  
Movement Data ◽  
Fishing Vessels ◽  
Fishing Fleets

Recent technological developments facilitate the collection of location data from fishing vessels at an increasing rate. The development of low-cost electronic systems allows tracking of small-scale fishing vessels, a sector of fishing fleets typically characterized by many, relatively small vessels. The imminent production of large spatial datasets for this previously data-poor sector creates a challenge in terms of data analysis. Several methods have been used to infer the spatial distribution of fishing activities from positional data. Here, we compare five approaches using either vessel speed, or speed and turning angle, to infer fishing activity in the Scottish inshore fleet. We assess the performance of each approach using observational records of true vessel activity. Although results are similar across methods, a trip-based Gaussian mixture model provides the best overall performance and highest computational efficiency for our use-case, allowing accurate estimation of the spatial distribution of active fishing (97% of true area captured). When vessel movement data can be validated, we recommend assessing the performance of different methods. These results illustrate the feasibility of designing a monitoring system to efficiently generate information on fishing grounds, fishing intensity, or monitoring of compliance to regulations at a nationwide scale in near-real-time.

scholarly journals Distribution, fishery and some features of biology for Sclerocrangon salebrosa and Argis lar (Caridea, Crangonidae) in the northwestern Okhotsk Sea

2020 ◽  
Vol 200 (3) ◽  
pp. 551-570
Author(s):  
D. N. Yuriev ◽  
V. S. Lukyanov ◽  
A. Yu. Povarov
Keyword(s):  
Spatial Distribution ◽  
Peter The Great Bay ◽  
Total Duration ◽  
Distribution Patterns ◽  
Commercial Fishing ◽  
Trawl Survey ◽  
Okhotsk Sea ◽  
Catch Per Unit Effort ◽  
Fishing Vessels ◽  
Trawl Catches

Trawl fishery of shrimps Sclerocrangon salebrosa and Argis lar in the Sakhalin Bay of the Okhotsk Sea has started in 2014 and develops rapidly. Meanwhile, spatial distribution of these species is not known well and their biology and stock dynamics are not studied. State of the fishery and distribution patterns of S. salebrosa and A. lar in the northwestern Okhotsk Sea are investigated on the data collected by the authors aboaed commercial fishing vessels and in the accounting trawl survey conducted aboard RV Dmitry Peskov in summer of 2019, as well as some features of their biology are considered. In total, 542 commercial trawl catches collected in 2015–2019 with horizontal opening 36 m from the depth of 39–140 m and 147 trawl catches collected during the survey with horizontal opening 16 m from the depth of 11–321 m are analyzed; 21,590 shrimp specimens caught within the period from June 23 to November 2 are examined. During 2014–2019, the number of shrimp fishing vessels in the Sakhalin Bay has increased from 1 to 6, their annual landing — from 78.7 to 642.0 t (376 t of S. salebrosa and 266 t of A. lar in 2019). Their mean catch per unit effort varied from 48 to 108 kg/hr of trawling for S. salebrosa and from 40 to 87 kg/hr for A. lar, with the average catch per trawling 379 and 346 kg, and average daily catch 1380 and 1144 kg, respectively. Night catches of S. salebrosa were in 2.7 times higher than the daily catches, on average (104.7 ± 45.7 kg/hr vs 39.1 ± 31.8 kg/hr); night catches of A. lar were in 2.0 times higher than the daily catches (80.2 ± 39.0 kg/hr vs 39.6 ± 34.2 kg/hr). Portion of A. lar in the summary catches of two species varied from 4 to 88 %, on average 48 %; besides, by-catch of fish (flounders, saffron cod, pollock, cod, sculpins, herring) and humpy shrimp Pandalus goniurus was considerable. So, the portion of the most valuable species (sculptured shrimp S. salebrosa) did not exceed ⅓ of the total catch, on average. The actual annual catches exceeded significantly the recommended volumes in 2017–2019, up to 164 % for S. salebrosa and 156 % for A. lar. According to results of the trawl survey in 2019, spatial distribution patterns for S. salebrosa and A. lar coincide in details in the northern Okhotsk Sea: both species are distributed at the depth between 20–145 m, with the densest aggregations (> 60 % of both stocks) located between Bolshoi Shantar Island and the northern tip of Sakhalin, southward from 55о 30′ N, where their biomasses reach 434 kg/km2 for S. salebrosa and 68 kg/km2 for A. lar. Total commercial stocks of these species within the North Okhotsk Sea fishery district were assessed in 2019 as 16.0 . 103 t for S. salebrosa and 3.8 . 103 t for A. lar. Reproductive cycles of S. salebrosa and A. lar females in the Okhotsk Sea are fundamentally the same as the cycle of former species in Peter the Great Bay (Japan Sea), with their total duration of 48 months including 24 months for the gonads development until spawning and 24 months from the spawning to hatching of larvae. In the Okhotsk Sea, spawning of S. salebrosa and A. lar occurs most likely in spring; mass hatching of their larvae — in summer.

Ultrastructural analysis of the spatial distribution of MRNA

1992 ◽  
Vol 50 (1) ◽  
pp. 552-553
Author(s):  
Gary Bassell ◽  
Robert H. Singer
Keyword(s):  
Electron Microscopy ◽  
Spatial Distribution ◽  
In Situ Hybridization ◽  
High Resolution ◽  
Nucleic Acids ◽  
Colloidal Gold ◽  
Dna Probe ◽  
Nucleotide Analogs ◽  
Gold Particles

We have been investigating the spatial distribution of nucleic acids intracellularly using in situ hybridization. The use of non-isotopic nucleotide analogs incorporated into the DNA probe allows the detection of the probe at its site of hybridization within the cell. This approach therefore is compatible with the high resolution available by electron microscopy. Biotinated or digoxigenated probe can be detected by antibodies conjugated to colloidal gold. Because mRNA serves as a template for the probe fragments, the colloidal gold particles are detected as arrays which allow it to be unequivocally distinguished from background.

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