The Pro-Environmental Behaviour of Employee in an Apparel Manufacturing Organization in Nuwara-Eliya District of Sri Lanka

The pro-environmental behaviour of employee is a key employee behaviour in the workplace in the context of green organizational behaviour. In general, there are many internal and external factors which promote pro-environmental behaviour of employee. In this context, objective of this paper is to examine the impact of internal and external factors on proenvironmental behaviour of employee in the workplace. Based on the literature review, relevant internal and external factors which can predict pro-environmental behaviour of employee in the workplace were identified. Internal factors include social norms, personal norms and attitude toward pro-environmental behaviour and external factors consist of situational factors, leadership behaviour and leadership support. The primary data were collected through questionnaire from 130 respondents from a selected apparel manufacturing organization in Nuwara-Eliya District of Sri Lanka to achieve the research objective. In order to achieve the study objective, this study applied univariate, correlation and regression analyses. Findings of the study show that both internal and external factors have positive impact on pro-environmental behaviour of employee individually, however in the overall model, only the external factors have positive and significant impact on proenvironmental behaviour of employees. The findings of this study are useful in understanding the impact of selected internal and external factors on pro-environmental behaviour of employee in apparel manufacturing organizations. Key Words: Pro-environmental Behaviour, Internal Factors, External Factor

Feeding Hotspots and Distribution of Fin and Humpback Whales in the Norwegian Sea From 2013 to 2018.

Fin whales (Balaenoptera physalus) and humpback whales (Megaptera novaeangliae) are commonly found in the Norwegian Sea during the summer months. Records from around 1995 to 2004 show that their distribution patterns were mainly associated with those of macro-zooplankton. More recent studies conducted from 2009 to 2012 demonstrate marked shifts, with fin whale distribution related to pelagic fish distribution, decreasing densities of humpbacks, and increased densities of toothed whales. During the same period, historically large abundances of pelagic planktivorous fish in the Norwegian Sea were reported. The goals of this study were to examine the summer distribution of fin and humpback whales from 2013 to 2018 and to assess the potential association between distribution and environmental impact factors. Results suggest a pronounced northerly shift in distribution for both species, a feeding hotspot for fin whales at the shelf area between Svalbard and Norway, and one near Bear Island for humpback whales. Fin whale distribution was associated with that of blue whiting (Micromesistius poutassou) and capelin (Mallotus villosus), whereas humpback whale distribution was associated with that of euphausiids (Meganyctiphanes norvegica, Thysanoessa longicaudata, and Thysanoessa inermis), capelin, and herring (Clupea harengus). However, a significant negative spatial correlation was found between whale occurrence and the widely expanding population of northeast Atlantic mackerel (Scomber scombrus). The results of this study suggest that the prey composition of fin and humpback whales in recent years contain a large proportion of fish. The apparent northerly shift in the distribution of these whale species is largely determined by the availability of prey, but it likely is also impacted by direct or indirect interspecific interactions, especially with killer whales (Orcinus orca). Such large-scale pronounced changes in distribution seem to confirm a high degree of plasticity in fin and humpback whale feeding in the Norwegian Sea.publishedVersio

Testing of trawl-acoustic stock estimation of spawning capelin 2020

This report describes the second in a series of three trawl-acoustic monitoring surveys of the spawning stock of capelin during the migration to the coast. The survey is a response to a proposal from the industry to evaluate the possibility of using winter monitoring of maturing capelin as an input to the capelin assessment and advice. The timing and geographic coverage of the survey are such that they would be relevant to use for advice given that the output is reliable. Pre-defined areas off the Troms and Finnmark coast were covered using two vessels, Vendla surveying the western part and Eros the eastern part. A stratified random transect design was adopted with two complementary zig-zag grids, the first going in a west-east and the second in an east-west direction over the same strata. The ultimate biomass estimate combines the two coverages, but evaluation about the mobility of the fish can be done by comparing the coverages. The final geographical allocation of survey effort was decided based on information from the scouting vessel Hovden Viking which covered the area a week prior to the main survey. Echo sounders with frequencies from 18-200 kHz were run together with sonars, and target trawls were carried out on significant pelagic aggregations. Capelin abundance was estimated using 38 kHz data. The total biomass of maturing capelin in the coverage area was estimated at 62 298 tons, with a CV of 38%. The 5% lower and 95% upper confidence limits were 26 655 and 104 305 tons, respectively. The result is in accordance with the prediction from the autumn 2019, but the high CV and wide confidence interval show that the survey result is uncertain. The high uncertainty despite the good survey coverage is likely due to the very patchy distribution of the capelin. In addition, in the western coverage area which had most of the capelin recordings, there was a big difference in both estimate and distribution in the return east-west coverage compared to the west-east. This underlines the high mobility of the capelin when it is in this state of migration. The strong dynamic was also evident last year and makes the monitoring of the capelin spawning migration challenging. Mean length of the capelin was 16.2 cm, mean weight 22.3 g, and maturation had progressed further in the western than the eastern area which was the opposite of what was observed last year. Methodological investigations including target strength measurements and testing of the autonomous Sailbuoy were carried out successfully and are described in the report. A thorough evaluation of the survey series and its usefulness as input to the capelin advice will be done after the third survey in this series is completed.Testing of trawl-acoustic stock estimation of spawning capelin 2020publishedVersio

MAPU 2.0: high-accuracy proteomes mapped to genomes

The MAPU 2.0 database contains proteomes of organelles, tissues and cell types measured by mass spectrometry (MS)-based proteomics. In contrast to other databases it is meant to contain a limited number of experiments and only those with very high-resolution and -accuracy data. MAPU 2.0 displays the proteomes of organelles, tissues and body fluids or conversely displays the occurrence of proteins of interest in all these proteomes. The new release addresses MS-specific problems including ambiguous peptide-to-protein assignments and it provides insight into general functional features on the protein level ranging from gene ontology classification to comprehensive SwissProt annotation. Moreover, the derived proteomic data are used to annotate the genomes using Distributed Annotation Service (DAS) via EnsEMBL services. MAPU 2.0 is a model for a database specifically designed for high-accuracy proteomics and a member of the ProteomExchange Consortium. It is available on line at http://www.mapuproteome.com

Testing of trawl-acoustic stock estimation of spawning capelin 2021

This report describes the third in a series of trawl-acoustic monitoring surveys of the spawning stock of capelin during the migration to the coast. The survey is a response to a proposal from the industry to evaluate the possibility of using winter monitoring of maturing capelin as an input to the capelin assessment and advice. The timing and geographic coverage of the survey are such that they would be relevant to use for advice given that the output is reliable. Pre-defined areas off the Troms and Finnmark coast were covered using two vessels, Vendla surveying the western part and Eros the eastern part.Testing of trawl-acoustic stock estimation of spawning capelin 2021publishedVersio

CE0704

Use the URI link below to search the Marine Institute Data Discovery Catalogue for datasets relevant to this report.Acoustic surveys on the blue whiting (Micromesistius poutassou) stock in the north east Atlantic have been carried out since the early 1970s by the Institute of Marine Research (IMR), Norway. In the early 1980s a coordinated acoustic survey approach was adopted, with both Russia and Norway participating to estimate the size of this migratory stock within its key spawning grounds. Since 2004, the coordinated survey program has expanded and now includes vessels from the Netherlands, Faroes and Ireland in addition to those from the Russian Federation and Norway. Due to the highly migratory nature of the stock, a large geographical area has to be surveyed. Spawning takes place from January through to April, with a peak time between mid-March and early April. Consequently acoustic surveys are routinely carried out during the peak spawning period within known geographic confines. To facilitate a more coordinated spatiotemporal approach to this spawning stock survey, participating countries meet annually to discuss survey methods and define target areas at the ICES led Planning Group of Northern Pelagic Ecosystem Surveys (PGNAPES). Data from the annual spawning stock abundance survey (March/April), juvenile surveys (May) and commercial landings data are presented annually at the ICES led Northern Pelagic and Blue Whiting Fisheries Working Group (WGNPBW). Ultimately, combined data inputs into the management and catch advice for this cross boundary stock. The 2007 survey was part of an International collaborative survey using the vessels RV “Celtic Explorer” (Marine Institute, Ireland), RV “Atlantida” (AtlantNIRO, Russian Federation), RV “Tridens” (IMARES, Netherlands) and the RV “Magnus Heinason” (FRS, Faroes) and the FV “Eros” (IMR commercial charter). The total combined area coverage in 2007 extended from the Faroe Islands in the north (61.30°N) to south of Ireland (50.30°N), with east –west extension from 5°-19° W. Combined area coverage included shelf break areas (>200m) and large bathymetric features including the Porcupine, Rockall and Hatton Banks. The Irish component of the survey was made up of transects covering 2,624 nmi (nautical miles) covering the north Porcupine area, the eastern and western fringes of the Rockall Bank and the western slopes of the Hatton Bank. This survey represents the 4th survey in the Irish time series

PRIDE: new developments and new datasets

The PRIDE (http://www.ebi.ac.uk/pride) database of protein and peptide identifications was previously described in the NAR Database Special Edition in 2006. Since this publication, the volume of public data in the PRIDE relational database has increased by more than an order of magnitude. Several significant public datasets have been added, including identifications and processed mass spectra generated by the HUPO Brain Proteome Project and the HUPO Liver Proteome Project. The PRIDE software development team has made several significant changes and additions to the user interface and tool set associated with PRIDE. The focus of these changes has been to facilitate the submission process and to improve the mechanisms by which PRIDE can be queried. The PRIDE team has developed a Microsoft Excel workbook that allows the required data to be collated in a series of relatively simple spreadsheets, with automatic generation of PRIDE XML at the end of the process. The ability to query PRIDE has been augmented by the addition of a BioMart interface allowing complex queries to be constructed. Collaboration with groups outside the EBI has been fruitful in extending PRIDE, including an approach to encode iTRAQ quantitative data in PRIDE XML