Relevant bibliographies by topics / Bioeconomic modelling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Bioeconomic modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Bioeconomic modelling"

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Cacho, Oscar J. "Systems modelling and bioeconomic modelling in aquaculture." Aquaculture Economics & Management 1, no. 1-2 (March 1997): 45–64. http://dx.doi.org/10.1080/13657309709380202.

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Shepherd, J. G., and C. W. Clark. "Bioeconomic Modelling and Fisheries Management." Biometrics 42, no. 3 (September 1986): 683. http://dx.doi.org/10.2307/2531229.

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Wilson, Berry, and Colin W. Clark. "Bioeconomic Modelling and Fisheries Management." Journal of Business & Economic Statistics 4, no. 3 (July 1986): 392. http://dx.doi.org/10.2307/1391581.

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Gatto, Marino. "Bioeconomic modelling and fisheries management." Ecological Modelling 42, no. 2 (August 1988): 161–62. http://dx.doi.org/10.1016/0304-3800(88)90114-7.

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Spulber, Daniel F., and Colin W. Clark. "Bioeconomic Modelling and Fisheries Management." Journal of the American Statistical Association 82, no. 397 (March 1987): 357. http://dx.doi.org/10.2307/2289196.

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Mangel, Marc. "Bioeconomic Modelling and Fisheries Management." Mathematical Biosciences 84, no. 1 (May 1987): 121–22. http://dx.doi.org/10.1016/0025-5564(87)90046-0.

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Foley, Naomi S., Claire W. Armstrong, Viktoria Kahui, Eirik Mikkelsen, and Siv Reithe. "A Review of Bioeconomic Modelling of Habitat-Fisheries Interactions." International Journal of Ecology 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/861635.

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This paper reviews the bioeconomic literature on habitat-fisheries connections. Many such connections have been explored in the bioeconomic literature; however, missing from the literature is an analysis merging the potential influences of habitat on both fish stocks and fisheries into one general, overarching theoretical model. We attempt to clarify the nature of linkages between the function of habitats and the economic activities they support. More specifically, we identify theoretically the ways that habitat may enter the standard Gordon-Schaefer model, and nest these interactions in the general model. Habitat influences are defined as either biophysical or bioeconomic. Biophysical effects relate to the functional role of habitat in the growth of the fish stock and may be either essential or facultative to the species. Bioeconomic interactions relate to the effect of habitat on fisheries and can be shown through either the harvest function or the profit function. We review how habitat loss can affect stock, effort, and harvest under open access and maximum economic yield managed fisheries.
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Iorgulescu, Raluca I., John M. Polimeni, and Mariana Balan. "Bioeconomic sustainability and modelling energy systems." Progress in Industrial Ecology, An International Journal 9, no. 1 (2015): 46. http://dx.doi.org/10.1504/pie.2015.069840.

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Perez-Valdes, Gerardo A., Vibeke S. Nørstebø, May-Britt Ellingsen, Jukka Teräs, and Adrian T. Werner. "Bioeconomic Clusters—Background, Emergence, Localization and Modelling." Sustainability 11, no. 17 (August 24, 2019): 4611. http://dx.doi.org/10.3390/su11174611.

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Industrial Clusters, especially those based on biologically sourced materials and their derivative products, can play an important role in the global shift to more sustainable production methods and ecological economic systems. The concept of cluster, however, is difficult to define and study. This paper presents quantitative methods based on Input-Output and Operations Research analysis to establish and plan cluster operations and complement that with qualitative reflections on the nature of these clusters. The purpose is to bring together both dimensions and demonstrate their complementarity, with social and policy aspects being as important considerations as techno-economic-driven ones. Using a case study, hypothetical clusters using numerical methods are created; the clusters produced by numerical methods point to and raise important issues related to the need to utilize qualitative analysis in conjunction to pure economic motives while designing/planning industrial clusters.
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Liyana, Nor Isma, and Moe Shwe Sin. "Bioeconomic Modelling in Sustainable Fisheries Management of Commercial Marine Fisheries in Kelantan, Malaysia." International Journal of Finance, Economics and Business 1, no. 2 (June 30, 2022): 141–57. http://dx.doi.org/10.56225/ijfeb.v1i2.29.

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Bioeconomic modelling is an important issue in sustainable fisheries management of commercial marine fisheries in Kelantan, Malaysia. Previous studies focus on the impact of trawling on fisheries, tourism and the socio-environment, which overfishing is a direct threat to local fishing communities. In addition, bottom trawl fishing may affect fishing, environment and socio-economic management objectives. Moreover, fishing activities lead to changes in the structure of marine habitats and affect the diversity, composition, biomass and productivity of related biota. Finally, the previous research discussed on challenges of the fisheries industry in peninsular Malaysia. Studies focused on bioeconomic modelling in sustainable management of commercial marine fisheries in terms of fishing gear, climate changes, and anthropogenic disturbances are still limited. This study aims to investigate the sustainability of marine fish production and analyse the potential effect of climate changes and anthropogenic disturbances that affect fisheries activities. The theory and practice of the bioeconomic surplus production model by Gordon - Schafer (GS) are used to calculate the total biology and economic value. The result of the study indicated that trawl nets, anchovy purse seinses, climate changes and anthropogenic disturbances affect the sustainable management of commercial marine fisheries in Kelantan, Malaysia.
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Dissertations / Theses on the topic "Bioeconomic modelling"

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Reinhardt, Gilles. "Bioeconomic modelling: An application to fisheries." Thesis, University of Ottawa (Canada), 1990. http://hdl.handle.net/10393/5714.

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This thesis presents a bioeconomic model of a commercial fishery. Emphasis is on the decision making processes of the harvesting sector. A model of dynamic decision making by fishermen is developed to study the biological and economic impact of the commercial exploitation of the Georges Bank scallops fishery (Placopecten Magellanicus). Stock biomass abundance dynamics are modelled using Deriso's age structured population model. Growth rate, mortality rates and recruitment are included as part of the biological component of the model. Decision making by fishermen is modelled using two discrete decision algorithms, myopic and adaptive. The myopic model provides the fisherman with the area yielding the highest immediate expected return on the basis of cost, expected catch and the current measure of biomass abundance. A computer model simulates the application of both the myopic and adaptive algorithms by a single fisherman as well as by a fleet of fishermen. In the later case, each fisherman is assumed to be initially identical and independent of the others in the fleet with respect to landings and catch information compiled. Vessel performance is measured in terms of total catch, total costs, landed values and net incomes. (Abstract shortened by UMI.)
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Balance, Donald John. "Control methodology applied to national fishing strategies." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279925.

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Trijoulet, Vanessa. "Bioeconomic modelling of seal impacts on West of Scotland fisheries." Thesis, University of Strathclyde, 2016. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27393.

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It has been several decades that groundfish stocks have decreased around the UK. Meanwhile, grey seal population has increased. This has created a controversy between fishers and conservationists as regards to the role grey seals have played in the stock depletion. Currently, opinions are still divided, and further studies need to be done to mitigate these conflicts. A bioeconomic model able to quantify the economic impact of grey seal predation on West of Scotland demersal fisheries for cod, haddock and whiting was developed. The biological part of the model accounts for seal predation and fishing catches and is linked to an economic model accounting for fleet revenues and costs. Three scenarios are tested. The "€status quo F"€ model assesses seal predation impacts on fleet revenues at the biological equilibrium. Two dynamic models are also studied to determine seal impacts when fleet behaviour is considered: the maximum economic yield scenario (MEY) where the fishery net profit is maximised and the bioeconomic equilibrium (BE) model where the profits are dissipated in the long-run. Cod is the fish the most impacted by grey seal predation so is the key stock in evaluating fishery effects. While the biological impacts can be important, seal predation is not economically important at the fishery level but some fleets are more sensitive than others. The large whitefish trawlers are likely to be the only fleet that could benefit from a reduction in grey seal predation. The following increase in its revenues would be certainly improved by fishery regulations.
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Short, I. J. "Outputs, ecological interactions and bioeconomic modelling, of a novel silvopastoral system in lowland Ireland." Thesis, Queen's University Belfast, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431481.

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Santos, Allison Jenny. "Sustainable Whale-watching for the Philippines: A Bioeconomic Model of the Spinner Dolphin (Stenella Longirostris)." NSUWorks, 2016. http://nsuworks.nova.edu/occ_stuetd/402.

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Whale-watching provides economic opportunities worldwide and particularly proliferates in developing countries, such as the Philippines. The sustainability of whale-watching is increasingly debated as these activities also negatively impact cetaceans through changes in behavior, communication, habitat use, morbidity, mortality, and life-history parameters. This study evaluated the total annual cost, revenue, and profit of whale-watching operators in Bais, Philippines, and predicted the changes in the population for spinner dolphin Stenella longirostris with varying levels of whale-watching effort. Total revenue was 3,805,077 PHP ($92,478 USD) while total cost was 5,649,094 PHP ($137,294 USD) with a discount rate of ten percent. The total annual profit of whale-watching in Bais was – 1,844,017 PHP (– $44,817 USD). On average, each operator in Bais lost 160,350 PHP ($3,897 USD) per year from whale-watching. Through time, the spinner dolphin population decreased as it was exposed to more vessels, causing effort to increase, and thus decreased profit for operators. Under current whale-watching effort, the spinner dolphin population was predicted to decrease by 94 percent in 25 years. If Bais reduced effort in their operations to only three vessels whale-watching per day, the spinner dolphin population increased to 80 percent of its initial population size. This was the first study to predict the spinner dolphin population and estimate the total annual profit from whale-watching in Bais, Philippines. It provided data to locals for efficient, profitable, and sustainable decisions in whale-watching operations.
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Udumyan, Narine. "Surexploitation des ressources halieutiques : habitat, récifs artificiels et apprentissage." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM1082/document.

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Cette thèse a pour thème central l'étude de deux problèmes soulevés dans les pêcheries modernes, la dégradation des habitats et le manque d'informations, qui comptent parmi les causes les importantes de la surexploitation des ressources halieutiques. Les deux premiers chapitres sont consacrés à l'examen du problème de la dégradation des habitats marins liée notamment aux activités de pêche destructrices. Le modèle de Gordon-Schaefer est prolongé afin de tenir compte de l'impact négatif de la pêche sur les habitats. Les conséquences pour la gestion sont analysées et l'importance de la prise en compte des habitats dans le développement des programmes de gestion des ressources halieutiques est mise en évidence. Le modèle élaboré est ensuite utilisé pour évaluer les bénéfices économiques des récifs artificiels, un outil de gestion auquel font de plus en plus appel les gestionnaires des pêcheries artisanales pour répondre à la dégradation des habitats. Enfin, dans le troisième chapitre, le rôle de l'information pour une pêche durable est examiné lorsque la ressource est en accès libre. Si, dans les deux premiers chapitres, il est supposé que les informations complètes sont disponibles pour l'élaboration des recommandations de gestion, dans la dernière étude, la décision concernant l'exploitation des ressources halieutiques est prise dans un contexte où aucune information sur la ressource n'est accessible. Cette décision est prise individuellement par chaque pêcheur qui opère dans la pêcherie. En développant un modèle multi-agents, nous montrons l'impact de l'apprentissage des pêcheurs sur la dynamique globale du système halieutique
This thesis focuses on two main problems posed in contemporary fisheries: habitat degradation and lack of information. They count among the most important causes of the overexploitation of marine resources. The first two chapters aim at examining the habitat degradation that is linked to destructive fishing activities. The Gordon-Schaefer model is extended to take account of the negative impact of fishing on the habitats. The consequences for fisheries management are analyzed and the importance of taking into account habitats in the development of fisheries management programs is highlighted. Then the extended model is used to evaluate the economic benefits of artificial reefs, a management tool to which frequently resort the managers of small-scale fisheries to mitigate the effects of habitat degradation. Finally, in the third chapter the role of information for sustainable fisheries is examined under open access. If in the first two chapters it is assumed that there is complete information, in the last study this assumption is relaxed - no information on the resource is known. The decision concerning the exploitation of marine resources is made individually by each fisherman that operates in the fishery. By developing an agent-based model, we show the impact of individual learning on the global dynamics of the system
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Beaussier, Thomas. "Évaluation économique et environnementale du développement régional d’une filière en interaction multi-secteur et multi-échelle : le cas de la filière forêt-bois du Grand Est." Thesis, Université de Lorraine, 2020. http://www.theses.fr/2020LORR0138.

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L’objectif de cette thèse est d’élaborer une méthode d’évaluation quantitative de la performance économique et environnementale de stratégies de développement régional, appliquée au secteur forestier dans le Grand Est. La démarche s’appuie sur le couplage d’outils de modélisation provenant des sciences économiques et des sciences de l’environnement. Dans le chapitre 1, nous analysons les couplages existants entre 5 modèle économique et 3 outils d’évaluation environnementale. Une grille de critère dédiée permet de comparer leur pertinence pour fournir des évaluations intégratives à l’échelle méso. Les couplages entre modèles d’équilibre d’une part, et Analyse du Cycle de Vie (ACV) d’autre part, répondent le mieux aux objectifs définis. Le chapitre 2 détaille le cadre méthodologique du couplage entre un modèle d’équilibre partiel du secteur forestier français et l’ACV. L’homogénéisation des flux de matières entre les deux modèles permet de produire des indicateurs économiques et environnementaux au périmètre cohérent, dont le ratio fournit deux indicateurs d’éco-efficience. Le premier combine le surplus économique de la filière forêt bois avec ses impacts environnementaux potentiels (Partial Eco-Efficiency, PEE), le second y ajoute les impacts environnementaux évités par la substitution entre le bois-énergie et des énergies fossiles, par rapport à un scénario de référence (Full Eco-Efficiency, FEE). Dans le chapitre 3, nous utilisons ce cadre pour analyser différentes stratégies de développement de la bioéconomie orientées vers le bois-énergie, à l’échelle nationale et au niveau régional dans le Grand Est. Nous comparons la FEE de scénarios construits par combinaisons de différentes politiques : subvention de la demande de bois-énergie, approvisionnement local, protection des forêts, crise énergétique. Les stratégies intégrant une stimulation de la demande de bois-énergie sont les plus éco-efficientes, au niveau régional et national. Cela repose notamment sur les impacts évités via la substitution du bois-énergie aux combustibles fossiles. La combinaison de la subvention avec des mesures de protection et/ou d’approvisionnement local augmente ou diminue légèrement son éco-efficience selon l’échelle de mise en œuvre. D’autres facteurs déterminant de l’éco-efficience d’une politique sont identifiés, comme les caractéristiques de la ressource forestière, l’importance de la filière bois locale, et les caractéristiques des régions voisines
The objective of this thesis is to develop a method for quantitative assessments of the economic and environmental performance of regional development strategies, applied to the forestry sector in the region Grand Est. To this end, we adopt an approach based on the coupling of modelling tools from economics and environmental sciences. In chapter 1, we analyse couplings between 5 economic models and 3 environmental assessment tools from the existing literature. A dedicated criteria grid allows to compare their relevance to provide integrative assessments at the meso scale. Couplings between equilibrium models on the one hand, and Life Cycle Assessment (LCA) on the other hand, best meet the defined objectives. Chapter 2 details the methodological framework of the coupling between a partial equilibrium model of the French forest sector and LCA. The homogenisation of material flows between the two models makes it possible to produce economic and environmental indicators with a coherent perimeter, the ratio of which provides two eco-efficiency indicators. The first combines the economic surplus of the forest-based sector with its potential environmental impacts (Partial Eco-Efficiency, PEE); the second adds the environmental impacts avoided by substitution between wood-energy and fossil fuels, compared to a reference scenario (Full Eco-Efficiency, FEE). In Chapter 3, we use this framework to analyse different wood energy oriented bio-economy development strategies at the national level and at the regional level in the region Grand Est. For this purpose, we compare the FEE of scenarios constructed by combinations of different policies: subsidising wood energy demand, local supply, forest protection, energy crisis. Strategies integrating a stimulation of wood energy demand are the most eco-efficient, at regional and national level. This is based in particular on the benefits of avoided impacts through the substitution of wood energy for fossil fuels. The combination of the subsidy with protection measures and/or local procurement slightly increases or decreases its eco-efficiency depending on the scale of implementation. In addition, we have identified other factors determining most the eco-efficiency of a policy, such as the characteristics of the forest resource, the importance of the local wood sector, and the characteristics of neighbouring regions
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Gourguet, S. "Ecological and economic viability for the sustainable management of mixed fisheries." Thesis, 2014. https://eprints.utas.edu.au/18611/3/Whole-Gourge-thesis-inc-pub-mat.pdf.

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Empirical evidence and the theoretical literature both point to stock sustainability and the protection of marine biodiversity as important fisheries management issues. Decision-support tools are increasingly required to operationalize the ecosystem-based approach to fisheries management. These tools need to integrate (i) ecological and socio-economic drivers of changes in fisheries and ecosystems; (ii) complex dynamics; (iii) deal with various sources of uncertainty; and (iv) incorporate multiple, rather than single objectives. The stochastic co-viability approach addresses the trade-os associated with balancing ecological, economic and social objectives throughout time, and takes into account the complexity and uncertainty of the dynamic interactions which characterize exploited ecosystems and biodiversity. This thesis proposes an application of this co-viability approach to the sustainable management of mixed fisheries, using two contrasting case studies: the French Bay of Biscay (BoB) demersal mixed fishery and the Australian Northern Prawn Fishery (NPF). Both fisheries entail direct and indirect impacts on mixed species communities while also generating large economic returns. Their sustainability is therefore a major societal concern. A dynamic bio-economic modelling approach is used to capture the key biological and economic processes governing these fisheries, combining age- (BoB) or size- (NPF) structured models of multiple species with recruitment uncertainty, and multiple fleets (BoB) or fishing strategies (NPF). Economic uncertainties relating to input and output prices are also considered. The bioeconomic models are used to investigate how the fisheries can operate within a set of constraints relating to the preservation of Spawning Stock Biomasses (BoB) or Spawning Stock Size Indices (NPF) of a set of key target species, maintenance of the economic profitability of various fleets (BoB) or the fishery as a whole (NPF), and limitation of fishing impacts on the broader biodiversity (NPF), under a range of alternative scenarios and management strategies. Results suggest that under a status quo strategy both fisheries can be considered as biologically sustainable, while socio-economically (and ecologically in the NPF case) at risk. Despite very different management contexts and objectives, viable management strategies suggest a reduction in the number of vessels in both cases. The BoB simulations allow comparison of the trade-os associated with dierent allocations of this decrease across fleets. Notably, co-viability management strategies entail a more equitable allocation of eort reductions compared to strategies aiming at maximizing economic yield. In the NPF, species catch diversification strategies are shown to perform well in controlling the levels of economic risk, by contrast with more specialized fishing strategies. Furthermore analyses emphasize the importance to the fishing industry of balancing global economic performance with inter-annual economic variability. Promising future developments based on this research involve the incorporation of a broader set of objectives including social dimensions, as well as the integration of ecological interactions, to better address the needs of ecosystem-based approaches to the sustainable harvesting of marine biodiversity.
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Books on the topic "Bioeconomic modelling"

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Bioeconomic modelling and fisheries management. New York: Wiley, 1985.

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Alexander, Robert R. Bioeconomic modelling of endangered species conservation. Palmerston North, New Zealand: Centre for Applied Economics and Policy Studies, Dept. of Applied and International Economics, Massey University, 1999.

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Mardle, Simon. Bioeconomic modelling of marine protected areas: A review of applications. Portsmouth: University of Portsmouth, CEMARE, 2004.

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Pascoe, S. Bioeconomic modelling of the fisheries of the English Channel: Overview report. Portsmouth: University of Portsmouth, Centre for the Economics and Management of Aquatic Resources, 1997.

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Seijo, J. C. Fisheries bioeconomics: Theory, modelling and management. Rome: Food and Agriculture Organization of the United Nations, 1998.

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J.C.J.M. van den Bergh, J. Hoekstra, and R. Imeson. Bioeconomic Modelling and Valuation of Exploited Marine Ecosystems. Springer, 2009.

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Bioeconomic Modelling and Valuation of Exploited Marine Ecosystems. Dordrecht: Kluwer Academic Publishers, 2006. http://dx.doi.org/10.1007/1-4020-4059-8.

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Bioeconomic Modelling And Valuation Of Exploited Marine Ecosystems. Springer, 2010.

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P. A. L. D. Nunes, A. T. de Blaeij, J. Hoekstra, R. Imeson, and Jeroen C. J. M. van den Bergh. Bioeconomic Modelling and Valuation of Exploited Marine Ecosystems. Springer, 2006.

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Food and Agriculture Organization Staff. Improving the Performance of Tilapia: Perspective from Bioeconomic Modelling. Food & Agriculture Organization of the United Nations, 2018.

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Book chapters on the topic "Bioeconomic modelling"

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Leung, PingSun, Donna J. Lee, and Eithan Hochman. "Bioeconomic Modelling of Shrimp and Prawn: A Methodological Comparison." In Aquaculture, 39–53. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429037795-4.

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Angenendt, Elisabeth, Witold-Roger Poganietz, Ulrike Bos, Susanne Wagner, and Jens Schippl. "Modelling and Tools Supporting the Transition to a Bioeconomy." In Bioeconomy, 289–316. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68152-8_9.

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Citak, Can, Serkan Ozgen, and Gerhard Wilhelm Weber. "Mathematical Modelling for Wave Drag Optimization and Design of High-Speed Aircrafts." In Modeling, Dynamics, Optimization and Bioeconomics II, 109–32. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55236-1_7.

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Dolgopolova, Irina, Ramona Teuber, Viola Bruschi, Gerhard-Wilhelm Weber, Nina Danilenko, and Efim Galitskiy. "Modelling Consumer Preferences for Novel Foods: Random Utility and Reference Point Effects Approaches." In Modeling, Dynamics, Optimization and Bioeconomics II, 165–82. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55236-1_10.

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Habyarimana, Ephrem, and Sofia Michailidou. "Genomic Prediction and Selection in Support of Sorghum Value Chains." In Big Data in Bioeconomy, 207–18. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_16.

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AbstractGenomic prediction and selection models (GS) were deployed as part of DataBio project infrastructure and solutions. The work addressed end-user requirements, i.e., the need for cost-effectiveness of the implemented technologies, simplified breeding schemes, and shortening the time to cultivar development by selecting for genetic merit. Our solutions applied genomic modelling in order to sustainably improve productivity and profits. GS models were implemented in sorghum crop for several breeding scenarios. We fitted the best linear unbiased predictions data using Bayesian ridge regression, genomic best linear unbiased predictions, Bayesian least absolute shrinkage and selection operator, and BayesB algorithms. The performance of the models was evaluated using Monte Carlo cross-validation with 70% and 30%, respectively, as training and validation sets. Our results show that genomic models perform comparably with traditional methods under single environments. Under multiple environments, predicting non-field evaluated lines benefits from borrowing information from lines that were evaluated in other environments. Accounting for environmental noise and other factors, also this model gave comparable accuracy with traditional methods, but higher compared to the single environment model. The GS accuracy was comparable in genomic selection index, aboveground dry biomass yield and plant height, while it was lower for the dry mass fraction of the fresh weight. The genomic selection model performances obtained in our pilots are high enough to sustain sorghum breeding for several traits including antioxidants production and allow important genetic gains per unit of time and cost.
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Silva, Lara Dutra, Hugo Costa, Eduardo Brito de Azevedo, Vasco Medeiros, Mário Alves, Rui Bento Elias, and Luís Silva. "Modelling Native and Invasive Woody Species: A Comparison of ENFA and MaxEnt Applied to the Azorean Forest." In Modeling, Dynamics, Optimization and Bioeconomics II, 415–44. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55236-1_20.

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Petracou, E. V., A. Xepapadeas, and A. N. Yannacopoulos. "The Bioeconomics of Migration: A Selective Review Towards a Modelling Perspective." In Springer Proceedings in Mathematics & Statistics, 539–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04849-9_32.

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"Modelling relation, hierarchical systems and bioeconomic approach to sustainability issues." In The Origins of Ecological Economics, 120–37. Routledge, 2001. http://dx.doi.org/10.4324/9780203468708-14.

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"Modelling relation, hierarchical systems and bioeconomic approach to sustainability issues." In Routledge Research in Environmental Economics. Routledge, 2001. http://dx.doi.org/10.4324/9780203468708.ch9.

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Guo, Miao. "Multi-scale system modelling under circular bioeconomy." In Computer Aided Chemical Engineering, 833–38. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-444-64235-6.50146-7.

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Conference papers on the topic "Bioeconomic modelling"

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DREJERSKA, Nina. "EMPLOYMENT IN VS. EDUCATION FOR THE BIOECONOMY." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.245.

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A number of employees is one of the basic indicators applied for identification of the economic relevance of an industry or an economic sector. Referring to nearly 18.6 million people employed in the 28 EU Member States within the bioeconomy in 2014, it can be stated that this a an economic sphere of significant importance in the European economy. The main aims of the study are to identify a scale of employment in the bioeconomy sector across EU Member States as well as to investigate tertiary education in bioeconomy based on the Polish experience in the Bioeconomy subject area group within the Euroleague for Life Sciences (ELLS). Data used included: (1) the data portal of agro-economics modelling – DataM of the Joint Research Centre of the European Commission, (2) CAWI research among students of WULS-SGGW on their attitudes to the bioeconomy, (3) feedback of participants of the first summer school in bioeconomy coordinated by WULS-SGGW. Research results display that the majority of Polish students did not meet the term of bioeconomy generally as well as at the university. There is also one very important students’ comment which can describe their attitude: students of economic disciplines are not very much interested as they think that bioeconomy focuses on life sciences (bio) so it is not appropriate for them; students of different fields of life sciences are not very keen to study bioeconomy as according to them it focuses on economy (as in the name itself).
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