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Relevant bibliographies by topics / Ecological Modelling

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Academic literature on the topic 'Ecological Modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Ecological Modelling"

1

Jørgensen, Sven Erik. "Ecological Modelling by `Ecological Modelling'." Ecological Modelling 100, no. 1-3 (1997): 5–10. http://dx.doi.org/10.1016/s0304-3800(97)00158-0.

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Jørgensen, Sven Erik. "25 years of Ecological Modelling by Ecological Modelling." Ecological Modelling 126, no. 2-3 (2000): 95–99. http://dx.doi.org/10.1016/s0304-3800(00)00320-3.

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RAI, VIKAS. "MODELLING ECOLOGICAL SYSTEMS." International Journal of Bifurcation and Chaos 05, no. 02 (1995): 537–43. http://dx.doi.org/10.1142/s0218127495000429.

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The paper introduces some new techniques which facilitate the study of nonlinear coupled ordinary differential equations modelling ecological systems. The strength and weaknesses of these techniques are discussed in detail. It also assesses the usefulness of “deterministic chaos” as a paradigm to understanding the dynamics of interacting populations.

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Thuiller, Wilfried. "Ecological niche modelling." Current Biology 34, no. 6 (2024): R225—R229. http://dx.doi.org/10.1016/j.cub.2024.02.018.

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Mitsch, William J. "Fundamentals of Ecological Modelling." Journal of Environmental Quality 18, no. 2 (1989): 249. http://dx.doi.org/10.2134/jeq1989.00472425001800020027x.

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Scarnecchia, David L., and S. E. Jorgensen. "Fundamentals of Ecological Modelling." Journal of Range Management 48, no. 6 (1995): 566. http://dx.doi.org/10.2307/4003074.

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Legović, Tarzan. "Ecological modelling Internet resources." Ecological Modelling 100, no. 1-3 (1997): 163–69. http://dx.doi.org/10.1016/s0304-3800(97)00152-x.

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GRAZ, F. PATRICK. "Ecological Modelling: An Introduction." Austral Ecology 36, no. 7 (2011): e41-e41. http://dx.doi.org/10.1111/j.1442-9993.2011.02273.x.

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Ulgiati, Sergio. "Fundamentals of ecological modelling." Ecological Modelling 78, no. 3 (1995): 285–86. http://dx.doi.org/10.1016/0304-3800(95)90077-2.

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Pavlova, S. A. "MODELLING OF RADIO ECOLOGICAL PROCESSES." RUDN Journal of Ecology and Life Safety 25, no. 1 (2017): 116–23. http://dx.doi.org/10.22363/2313-2310-2017-25-1-116-123.

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Dissertations / Theses on the topic "Ecological Modelling"

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Darling, Paul Simon. "SAR modelling for ecological applications." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297315.

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Nightingale, Glenna Faith. "Bayesian point process modelling of ecological communities." Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/3710.

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The modelling of biological communities is important to further the understanding of species coexistence and the mechanisms involved in maintaining biodiversity. This involves considering not only interactions between individual biological organisms, but also the incorporation of covariate information, if available, in the modelling process. This thesis explores the use of point processes to model interactions in bivariate point patterns within a Bayesian framework, and, where applicable, in conjunction with covariate data. Specifically, we distinguish between symmetric and asymmetric species

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Sala, Claudia. "Ecological modelling for next generation sequencing data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6279/.

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Le tecniche di next generation sequencing costituiscono un potente strumento per diverse applicazioni, soprattutto da quando i loro costi sono iniziati a calare e la qualità dei loro dati a migliorare. Una delle applicazioni del sequencing è certamente la metagenomica, ovvero l'analisi di microorganismi entro un dato ambiente, come per esempio quello dell'intestino. In quest'ambito il sequencing ha permesso di campionare specie batteriche a cui non si riusciva ad accedere con le tradizionali tecniche di coltura. Lo studio delle popolazioni batteriche intestinali è molto importante in quanto

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Peng, Qiuliang. "Periodic differential systems with applications to ecological modelling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0006/NQ29093.pdf.

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Doddington, Benjamin. "Modelling the environmental and ecological drivers of chytridiomycosis." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/11670.

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Amphibians are the most threatened taxon assessed by the IUCN Red List, with over 42% of all species in decline. The emerging infectious disease chytridiomycosis, caused by the fungus Batrachochytrium dendrobatidis, has been shown to a driver of many of these declines. The broad aim of this thesis is to develop mechanistic models that realistically capture the observed disease dynamics of Bd within Europe, and use these to help understand its ecological and environmental drivers. Mathematical modelling, field work and experimental work are used in order to obtain an understanding of a Bd-host

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Tomlinson, Benjamin John. "Modelling Social-Ecological Systems in the Catalan Coastal Zones." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/384929.

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The Systems Approach Framework (SAF) is a methodological framework designed to enhance the efficacy of human decision-making processes within social-ecological systems with regard to sustainability. The SAF was applied in two case studies in the coastal zone of Catalonia, in two separate European Commission Framework Programme projects entitled “Science and Policy Integration for Coastal System Assessment” (SPICOSA) and “Vectors of Change in Oceans and Seas-marine Life, Impact on Economic Sectors" (VECTORS). During the SPICOSA application, a common issue of interest to most stakeholders wa

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Minoarivelo, Henintsoa Onivola. "Probabilistic modelling of the evolution of ecological interaction networks." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/17990.

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Thesis (MSc)--Stellenbosch University, 2011.<br>ENGLISH ABSTRACT: In any ecological system, organisms need to interact with each other for their survival. Such interactions form ecological networks which are usually very complex. Nevertheless, they exhibit well de ned patterns; these regularities are often interpreted as products of meaningful ecological processes. As the networks are evolving through time, biological evolution is one of the factors that affects ecological network architecture. In this work, we develop a mathematical model that represents the evolution through time of such

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Mancy, Rebecca. "Modelling persistence in spatially-explicit ecological and epidemiological systems." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6219/.

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In this thesis, we consider the problem of long-term persistence in ecological and epidemiological systems. This is important in conservation biology for protecting species at risk of extinction and in epidemiology for reducing disease prevalence and working towards elimination. Understanding how to predict and control persistence is critical for these aims. In Chapter 2, we discuss existing ways of characterising persistence and their relationship with the modelling paradigms employed in ecology and epidemiology. We note that data are often limited to information on the state of particular pa

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Clavera-Gispert, Roger. "Forward numerical modelling of carbonate basins: an ecological approach." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2016. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-213603.

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This thesis presents a new stratigraphic forward numerical model to simulate the carbonate production of marine sedimentary basin through ecological model which is implemented in the SIMSAFADIM-CLASTIC program. This ecological model is based on the Generalized Lotka Voltera equations that model the population evolution of species. These populations are controlled by biological factors (growth rate, carrying capacity and interaction among species), and by the environmental conditions (light, energy of the medium, nutrients, bottom slope and concentration of clastic sediments in suspension) whic

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Macpherson, Morag Fiona. "Modelling population and disease dynamics in complex ecological systems." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2824.

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Mathematical models are a theoretical tool used to understand ecological processes. In this thesis we create mathematical frameworks to describe and evaluate four ecological systems. In the first case study we extend a host-pathogen framework to include a maternal effect which increases the disease resistance of offspring when the maternal environment is poor. Maternal effects impacting life-history traits have been shown to increase the propensity for population cycles. Our contrasting results show maternal effects acting on disease resistance stabilise host-pathogen systems. The second case

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Books on the topic "Ecological Modelling"

1

Jørgensen, S. E. Fundamentals of ecological modelling. 2nd ed. Elsevier, 1994.

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Hui, Cang, Pietro Landi, Henintsoa Onivola Minoarivelo, and Andriamihaja Ramanantoanina. Ecological and Evolutionary Modelling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92150-1.

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Jopp, Fred, Hauke Reuter, and Broder Breckling, eds. Modelling Complex Ecological Dynamics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-05029-9.

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Jørgensen, Sven Erik. Ecological modelling: An introduction. WIT, 2009.

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Jørgensen, Sven Erik. Fundamentals of ecological modelling. 2nd ed. Elsevier, 1994.

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Jørgensen, S. E. Fundamentals of ecological modelling. Elsevier, 1986.

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1934-, Jørgensen Sven Erik, ed. Thermodynamics and ecological modelling. Lewis Publishers, 2001.

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G, Bendoricchio, ed. Fundamentals of ecological modelling. 3rd ed. Elsevier, 2001.

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Proops, John L. R., 1947- and Safonov Paul, eds. Modelling in ecological economics. Edward Elgar, 2005.

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Ferreira, Cláudia P., and Wesley A. C. Godoy, eds. Ecological Modelling Applied to Entomology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06877-0.

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Book chapters on the topic "Ecological Modelling"

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Jørgensen, S. E. "Ecological Indicators and Ecological Modelling." In Ecological Indicators. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4659-7_14.

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Veste, M., C. Sommer, S. W. Breckle, and T. Littmann. "Standing Biomass and its Modelling." In Ecological Studies. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75498-5_26.

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Recknagel, Friedrich, Dragi Kocev, Hongqing Cao, Christina Castelo Branco, Ricardo Minoti, and Saso Dzeroski. "Inferential Modelling of Population Dynamics." In Ecological Informatics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59928-1_9.

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Shmelev, Stanislav E. "Regional Waste Management: Multicriteria Modelling." In Ecological Economics. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1972-9_11.

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Weber, Gerhard E. "Modelling Nutrient Fluxes in Floodplain Lakes." In Ecological Studies. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03416-3_5.

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Dormann, Carsten F. "Modelling Species’ Distributions." In Modelling Complex Ecological Dynamics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-05029-9_13.

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Renetzeder, Christa, Thomas Wrbka, Sander Mücher, Michiel van Eupen, and Michiel Kiers. "Does Landscape Structure Reveal Ecological Sustainability?" In Landscape Modelling. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3052-8_12.

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Giske, Jarl, Hein Rune Skjoldal, and Dag Slagstad. "Ecological Modelling for Fisheries." In Contributions to Economics. Physica-Verlag HD, 1998. http://dx.doi.org/10.1007/978-3-642-99793-8_2.

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Jopp, Fred, Broder Breckling, Hauke Reuter, and Donald L. DeAngelis. "Perspectives in Ecological Modelling." In Modelling Complex Ecological Dynamics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-05029-9_24.

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Fasiolo, Matteo, and Simon N. Wood. "ABC in Ecological Modelling." In Handbook of Approximate Bayesian Computation. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315117195-20.

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Conference papers on the topic "Ecological Modelling"

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Kumar, Bijendra, M. Sri Nikila, S. B. Javheri, Deo Karan Ram, Dr Bijaya Bijeta Nayak, and Dharamvir. "Applications of Soft Computing in Environmental and Ecological Modelling." In 2024 7th International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2024. https://doi.org/10.1109/ic3i61595.2024.10829217.

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UthayaSelvan, Surayyn, Laura Windorfer, Mariasole Calbi, et al. "Multispecies Building Envelopes: Adopting Plant Habitat Suitability Modelling for Ecological Design Decision-Making." In CAADRIA 2024: Accelerated Design. CAADRIA, 2024. http://dx.doi.org/10.52842/conf.caadria.2024.1.535.

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Lawrence, Ian, and Michael Harper. "Ecological Modelling Strategies." In Specialty Symposium on Urban Drainage Modeling at the World Water and Environmental Resources Congress 2001. American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40583(275)55.

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"Evaluating ecological niche modelling techniques." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.a3.dekker.

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MIHAILOVIĆ, DRAGUTIN. "ECOLOGICAL MODELLING: CHALLENGES AT A CROSSROADS." In Proceedings of the 9th International Symposium on Interdisciplinary Regional Research. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812834409_0020.

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Pereira, Antonio, Luis Paulo Reis, and Pedro Duarte. "ECOSIMNET: A Framework For Ecological Simulations." In 23rd European Conference on Modelling and Simulation. ECMS, 2009. http://dx.doi.org/10.7148/2009-0219-0225.

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"Calibration of the Floodplain Ecological Response Model." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.tan203.

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Pereira, A., P. Duarte, and L. P. Reis. "An Integrated Ecological Modelling And Decision Support Methodology." In 21st Conference on Modelling and Simulation. ECMS, 2007. http://dx.doi.org/10.7148/2007-0497.

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"Collaborative intelligence for modelling marine social-ecological systems." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.spillias.

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"A hydrodynamic-ecological model for Lake Rerewhakaaitu." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.b7.parshotam.

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Reports on the topic "Ecological Modelling"

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Dafermos, Yannis, Andrew McConnel, Maria Nikolaidi, Servaas Storm, and Boyan Yanovski. Macroeconomic modelling in the Anthropocene: why the E-DSGE framework is not fit for purpose and what to do about it. Institute for New Economic Thinking Working Paper Series, 2024. http://dx.doi.org/10.36687/inetwp229.

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Recent years have seen an increasing use of environmental dynamic stochastic general equilibrium (E-DSGE) models for analysing the macroeconomic effects of the climate crisis. This paper explores to what extent these models are fit for purpose. We identify the limitations of the benchmark E-DSGE framework and explain how these limitations restrict the ability of this framework to meaningfully capture the macroeconomics of the climate crisis. We then explain how the assumptions behind these limitations can be relaxed, but argue that simply relaxing some of these assumptions in isolation is insu

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Diehl, Rebecca, Jonathan Friedman, Rebecca Diehl, and Jonathan Friedman. Modelling effects of flow withdrawal scenarios on riverine and riparian features of the Yampa River in Dinosaur National Monument. National Park Service, 2024. http://dx.doi.org/10.36967/2305338.

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The National Park Service (NPS) is charged with maintaining natural riverine resources and processes in its parks along the Yampa River and downstream along the Green River. This mission requires information on how proposed water withdrawals would affect resources. We present a methodology that quantifies the impact on natural riverine and riparian features of Dinosaur National Monument based on alternative withdrawals that vary in volume and timing. This methodology uses a reverse quantification and develops tools to enable the NPS to ensure that if withdrawals must occur, the adverse impacts

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Aalto, Juha, and Ari Venäläinen, eds. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361355.

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Forest and wildland fires are a natural part of ecosystems worldwide, but large fires in particular can cause societal, economic and ecological disruption. Fires are an important source of greenhouse gases and black carbon that can further amplify and accelerate climate change. In recent years, large forest fires in Sweden demonstrate that the issue should also be considered in other parts of Fennoscandia. This final report of the project “Forest fires in Fennoscandia under changing climate and forest cover (IBA ForestFires)” funded by the Ministry for Foreign Affairs of Finland, synthesises c

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Jalkanen, Jukka-Pekka, Erik Fridell, Jaakko Kukkonen, et al. Environmental impacts of exhaust gas cleaning systems in the Baltic Sea, North Sea, and the Mediterranean Sea area. Finnish Meteorological Institute, 2024. http://dx.doi.org/10.35614/isbn.9789523361898.

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Description: Shipping is responsible for a range of different pressures affecting air quality, climate, and the marine environment. Most social and economic analyses of shipping have focused on air pollution assessment and how shipping may impact climate change and human health. This risks that policies may be biased towards air pollution and climate change, whilst impacts on the marine environment are not as well known. One example is the sulfur regulation introduced in January 2020, which requires shipowners to use a compliant fuel with a sulfur content of 0.5% (0.1% in SECA regions) or use

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Rural NEET Youth Policy Brief - Youth and Mobility in EU Rural Areas. COST Action 18213: Rural NEET Youth Network: Modeling the risks underlying rural NEETs social exclusion, 2022. http://dx.doi.org/10.15847/cisrnyn.neetpbym.2022.05.

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This policy brief is based upon findings from the COST Action CA18213: Rural NEET Youth Network: Modelling the Risks Underlying Rural NEETs Social Ex- clusion. This network brings together researchers and practitioners from 31 countries and aims at developing a model of comprehension for rural NEETs’ social exclusion risks and protective factors based on a bio-ecological model. The three specific goals of the action are: 1. upholding future research capacity, with an emphasis on Early Career Investigators, and Inclusiveness Tar- get Countries; 2. creating a rural NEETs’ online observatory; and

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