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Relevant bibliographies by topics / Recruitment forecasting

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Academic literature on the topic 'Recruitment forecasting'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Recruitment forecasting"

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Scanlon, Jacob R., and Matthew S. Gerber. "Forecasting Violent Extremist Cyber Recruitment." IEEE Transactions on Information Forensics and Security 10, no. 11 (2015): 2461–70. http://dx.doi.org/10.1109/tifs.2015.2464775.

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Subbey, Sam, Jennifer A. Devine, Ute Schaarschmidt, and Richard D. M. Nash. "Modelling and forecasting stock–recruitment: current and future perspectives." ICES Journal of Marine Science 71, no. 8 (2014): 2307–22. http://dx.doi.org/10.1093/icesjms/fsu148.

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AbstractThis paper presents a brief review of the present state of knowledge in stock–recruitment forecasting, including process and current methodological challenges to predicting stock–recruitment. The discussion covers the apparent inability of models to accurately forecast recruitment even when environmental covariates are included as explanatory variables. The review shows that despite the incremental success in the past hundred years, substantial challenges remain if the process of modelling and forecasting stock–recruitment is to become relevant to fisheries science and management in th

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Ottersen, Geir, and Geir Huse. "Forecasting recruitment and stock biomass of Northeast Arctic cod using neural networks." Scientia Marina 67, S1 (2003): 325–35. http://dx.doi.org/10.3989/scimar.2003.67s1325.

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Van Beveren, Elisabeth, Hugues P. Benoît, and Daniel E. Duplisea. "Forecasting fish recruitment in age‐structured population models." Fish and Fisheries 22, no. 5 (2021): 941–54. http://dx.doi.org/10.1111/faf.12562.

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Schweigert, Jacob F., Douglas E. Hay, Thomas W. Therriault, Matthew Thompson, and Carl W. Haegele. "Recruitment forecasting using indices of young-of-the-year Pacific herring (Clupea pallasi) abundance in the Strait of Georgia (BC)." ICES Journal of Marine Science 66, no. 8 (2009): 1681–87. http://dx.doi.org/10.1093/icesjms/fsp182.

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Abstract Schweigert, J. F., Hay, D. E., Therriault, T. W., Thompson, M., and Haegele, C. W. 2009. Recruitment forecasting using indices of young-of-the-year Pacific herring (Clupea pallasi) abundance in the Strait of Georgia (BC). – ICES Journal of Marine Science, 66: 1681–1687. Within the Strait of Georgia (BC, Canada), recruitment of Pacific herring (Clupea pallasi) to the spawning stock at age 3 can be highly variable, and this component may compose a major portion of the spawning-stock biomass. Therefore, a reliable method of forecasting recruitment strength would be useful for determining

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Kimoto, A., T. Mouri, and T. Matsuishi. "Modelling stock–recruitment relationships to examine stock management policies." ICES Journal of Marine Science 64, no. 5 (2007): 870–77. http://dx.doi.org/10.1093/icesjms/fsm054.

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Abstract Kimoto, A., Mouri, T., and Matsuishi, T. 2007. Modelling stock–recruitment relationships to examine stock management policies. – ICES Journal of Marine Science, 64: 870–877. Simulation studies are used widely for fish stock management. In such studies, forecasting future recruitment, which can vary greatly between years, has become an essential part of evaluating management strategies. We propose a new forecasting algorithm to predict recruitment for short- or medium-term stochastic projections, using a stock–recruitment relationship. We address cases in which the spawning stock has d

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Kiaer, Christian, Stefan Neuenfeldt, and Mark R. Payne. "A framework for assessing the skill and value of operational recruitment forecasts." ICES Journal of Marine Science 78, no. 10 (2021): 3581–91. http://dx.doi.org/10.1093/icesjms/fsab202.

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Abstract Forecasting variation in the recruitment to fish stocks is one of the most challenging and long-running problems in fisheries science and essentially remains unsolved today. Traditionally, recruitment forecasts are developed and evaluated based on explanatory and goodness-of-fit approaches that do not reflect their ability to predict beyond the data on which they were developed. Here, we propose a new generic framework that allows the skill and value of recruitment forecasts to be assessed in a manner that is relevant to their potential use in an operational setting. We assess forecas

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Mark, Payne, Egan Afra, MM Fässler Sascha, et al. "The rise and fall of the NE Atlantic blue whiting (Micromesistius poutassou)." Marine Biology Research 8, no. 5-6 (2012): 475–87. https://doi.org/10.1080/17451000.2011.639778.

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The Northeast Atlantic blue whiting (Micromesistius poutassou) stock has undergone striking changes in abundance in the last 15 years. The stock increased dramatically in the late 1990s due to a succession of eight unusually strong year classes and dropped again equally dramatically after 2005 when the recruitment collapsed to former levels. The North Atlantic subpolar gyre has previously been shown to have a strong influence on the behaviour of this stock: synchronous changes in the gyre and recruitment suggest a causal linkage and the possibility of forecasting recruitment. A range of mechan

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Laurel, Benjamin J., David Cote, Robert S. Gregory, Lauren Rogers, Halvor Knutsen, and Esben Moland Olsen. "Recruitment signals in juvenile cod surveys depend on thermal growth conditions." Canadian Journal of Fisheries and Aquatic Sciences 74, no. 4 (2017): 511–23. http://dx.doi.org/10.1139/cjfas-2016-0035.

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Coastal seine surveys contain some of the only direct measures of age-0 abundance for Atlantic cod (Gadus morhua) and Pacific cod (Gadus macrocephalus), yet their utility in forecasting future year-class strength has not been evaluated among regions. We analyzed coastal time series from the Gulf of Alaska, Newfoundland, and Norway to test the hypothesis that recruitment signals are stronger when assessed under thermal conditions that provide high juvenile growth potential. Weaker recruitment signals were associated with low growth potential from cold winters (Newfoundland) and recent warmer su

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Pierre, Maud, Tristan Rouyer, Sylvain Bonhommeau, and J. M. Fromentin. "Assessing causal links in fish stock–recruitment relationships." ICES Journal of Marine Science 75, no. 3 (2017): 903–11. http://dx.doi.org/10.1093/icesjms/fsx202.

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Abstract Understanding whether recruitment fluctuations in fish stock arise from stochastic forcing (e.g. environmental variations) rather than deterministic forces (e.g. intrinsic dynamics) is a long standing question with important applied consequences for fisheries ecology. In particular, the relationship between recruitment, spawning stock biomass and environmental factors is still poorly understood, even though this aspect is crucial for fisheries management. Fisheries data are often short, but arise from complex dynamical systems with a high degree of stochastic forcing, which are diffic

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Dissertations / Theses on the topic "Recruitment forecasting"

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Scribner, Nick T. "Forecasting recruitment of coarse woody structure from the riparian area to the littoral zone of a north temperate lake in Wisconsin /." Link to full-text, 2006. http://epapers.uwsp.edu/thesis/2006/scribner.pdf.

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Borisyuk, Galina. "Developing methods for understanding the nature of voting patterns and party competition in Britain." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1249.

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This research both develops new methods and expands upon existing methodologies in order to improve our understanding of voting patterns and party competition in Britain. The thesis comprises five sections, each of which relates to a particular research focus. The first and principal section describes the process of determining a new method for decomposing electoral bias for three-party competition under simple plurality rules of voting. The study of electoral bias is important for voting systems that requires periodic boundary reviews intended to equalise electorate and to remove malapportion

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Books on the topic "Recruitment forecasting"

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The Future of Climate: Predictions (Books in Recruitment Fishery Oceanography). Phoenix, 1999.

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Gilley, Ann, Jerry W. Gilley, Scott A. Quatro, and Pamela Dixon. Praeger Handbook of Human Resource Management. Greenwood Publishing Group, Inc., 2008. http://dx.doi.org/10.5040/9798216000228.

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The two-volumePraeger Handbook of Human Resource Managementis an indispensable resource for anyone with a question relating to workplace practice or policy. Volume One contains information organized by HR task or topic: Recruitment and selection, employee development, performance management, compensation and benefits administration, and employment law. Volume Two covers organizational issues like leadership and HR strategy, organizational development, change management, and general HR issues and workplace policy. Written by experts of all stripes, including HR professors, HR consultants, and p

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Book chapters on the topic "Recruitment forecasting"

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Pukach, Petro, Bohdan Liubinskyi, Volodymyr Hladun, and Vladyslav Holdovanskyi. "The Classifier Models Usage for the Recruitment Process Forecasting for Applicants of Higher Education to Universities of Ukraine." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60815-5_4.

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Silva, Carlos Francisco. "A Review on Strategic Talent Acquisition and Workforce Planning in a Global Context." In Innovative Approaches for International Competitiveness Through Human Resource Management. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1005-3.ch010.

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Organizational success. It examines aligning TA with SWP through understanding business strategy, workforce analysis, forecasting needs, and setting clear talent objectives. The review highlights the importance of leveraging innovative technologies and advanced data analytics, such as HRIS and ATS, to enhance efficiency and facilitate data-driven decisions. It underscores fostering collaboration, prioritizing continuous improvement, and implementing structured feedback loops. Additionally, it discusses data sharing, developing a strong employer brand, effective recruitment marketing, and build

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"Life in the Slow Lane: Ecology and Conservation of Long-Lived Marine Animals." In Life in the Slow Lane: Ecology and Conservation of Long-Lived Marine Animals, edited by Felicia C. Coleman, Christopher C. Koenig, Anne-Marie Eklund, and Churchill B. Grimes. American Fisheries Society, 1999. http://dx.doi.org/10.47886/9781888569155.ch18.

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<em>Abstract.</em> —Effective fisheries management requires considerable information on life history characteristics, recruitment dynamics, habitat requirements, and fishery interactions for the managed species. It is clear that we have little of this information for any of the myriad temperate reef fishes managed in the South Atlantic or Gulf of Mexico regions, not only from our reliance on size limits, controlled effort, or limited harvest but from the repeated failures of all but complete closures of fisheries to allow recovery from overexploitation. Several of the life history

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Conference papers on the topic "Recruitment forecasting"

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Anisimov, Volodymyr. "Modelling/Forecasting Patient Recruitment in Clinical Trials Using Poisson-Gamma Model with Time-Dependent Rates." In 2024 6th International Communication Engineering and Cloud Computing Conference (CECCC). IEEE, 2024. https://doi.org/10.1109/ceccc62598.2024.11063562.

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Sun, Lin, Hongjun Xiao, Dequan Yang, and Shouju Li. "Forecasting Fish Stock Recruitment by Using Neural Network." In 2009 WRI Global Congress on Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/gcis.2009.170.

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