Academic literature on the topic 'Climatic change modelling'

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Journal articles on the topic "Climatic change modelling"

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Hall, D. O., F. Veroustraete, R. J. M. Ceulemans, I. I. P. Impens, and J. B. H. H. Van Rensbergen. "Vegetation, Modelling and Climatic Change Effects." Journal of Ecology 85, no. 1 (1997): 107. http://dx.doi.org/10.2307/2960639.

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Couture, Nicole J., and Wayne H. Pollard. "Modelling geomorphic response to climatic change." Climatic Change 85, no. 3-4 (2007): 407–31. http://dx.doi.org/10.1007/s10584-007-9309-5.

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John, Andrew, Rory Nathan, Avril Horne, Michael Stewardson, and J. Angus Webb. "How to incorporate climate change into modelling environmental water outcomes: a review." Journal of Water and Climate Change 11, no. 2 (2020): 327–40. http://dx.doi.org/10.2166/wcc.2020.263.

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Abstract Environmental water represents a key resource in managing freshwater ecosystems against pervasive threats. The impacts of climate change add further pressures to environmental water management, yet anticipating these impacts through modelling approaches remains challenging due to the complexities of the climate, hydrological and ecological systems. In this paper, we review the challenges posed by each of these three areas. Large uncertainties in predicting climatic changes and non-stationarities in hydrological and ecological responses make anticipating impacts difficult. In addition,
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Simonovic, Slobodan P., and Evan G. R. Davies. "Are we modelling impacts of climatic change properly?" Hydrological Processes 20, no. 2 (2006): 431–33. http://dx.doi.org/10.1002/hyp.6106.

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Heikkinen, Risto K., Miska Luoto, Miguel B. Araújo, Raimo Virkkala, Wilfried Thuiller, and Martin T. Sykes. "Methods and uncertainties in bioclimatic envelope modelling under climate change." Progress in Physical Geography: Earth and Environment 30, no. 6 (2006): 751–77. http://dx.doi.org/10.1177/0309133306071957.

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Potential impacts of projected climate change on biodiversity are often assessed using single-species bioclimatic ‘envelope’models. Such models are a special case of species distribution models in which the current geographical distribution of species is related to climatic variables so to enable projections of distributions under future climate change scenarios. This work reviews a number of critical methodological issues that may lead to uncertainty in predictions from bioclimatic modelling. Particular attention is paid to recent developments of bioclimatic modelling that address some of the
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Dutra Silva, Lara, Eduardo Brito de Azevedo, Francisco Vieira Reis, Rui Bento Elias, and Luís Silva. "Limitations of Species Distribution Models Based on Available Climate Change Data: A Case Study in the Azorean Forest." Forests 10, no. 7 (2019): 575. http://dx.doi.org/10.3390/f10070575.

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Climate change is gaining attention as a major threat to biodiversity. It is expected to further expand the risk of plant invasion through ecosystem disturbance. Particularly, island ecosystems are under pressure, and climate change may threaten forest-dependent species. However, scientific and societal unknowns make it difficult to predict how climate change and biological invasions will affect species interactions and ecosystem processes. The purpose of this study was to identify possible limitations when making species distribution model projections based on predicted climate change. We aim
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Vlčková, Veronika, Antonín Buček, Ivo Machar, et al. "The Application of Geobiocoenological Landscape Typology in The Modelling of Climate Change Implications." Journal of Landscape Ecology 8, no. 2 (2015): 69–81. http://dx.doi.org/10.1515/jlecol-2015-0010.

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Abstract Geobiocoenological landscape typology, which is used in landscape planning in the Czech Republic, includes vegetation zonation of the landscape. Vegetation zones are determined by climatic conditions. Changes in climatic conditions will probably be manifested in the shift of vegetation zones in the landscape. Mathematical geobiocoenological model of vegetation zonation of the landscape is based on the general ecological relationship between the current vegetation zonation and present climatic conditions and the assumption that this general relationship will be maintained in the future
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Felicísimo, Ángel M., Ignacio Armendáriz, and Virginia Alberdi Nieves. "Modelling the potential effects of climate change in the distribution of Xylotrechus arvicola in Spain." Horticultural Science 48, No. 1 (2021): 38–46. http://dx.doi.org/10.17221/85/2019-hortsci.

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Xylotrechus arvicola is an emerging grape pest that generates serious sanitary problems in vineyards and is currently expanding its range throughout Spain. The increasing prevalence of this pest in Spanish vineyards has been detected since 1990. In this study, the relationship between the climate and the actual distribution of the beetle was analysed, as well as how this distribution might change in the future according to several climate change models. The methodology was based on predictive models (SDM; species distribution modelling) using climate variables as explanatory factors, although
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O'Brien, Karen L. "Tropical deforestation and climate change." Progress in Physical Geography: Earth and Environment 20, no. 3 (1996): 311–35. http://dx.doi.org/10.1177/030913339602000304.

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This article reviews the physical links between tropical rain forests and the atmos phere, and considers the results of studies which address the climatic impacts of deforestation. Tropical deforestation is widely believed to influence local, regional and possibly global cli mates. Although the relationship between deforestation and climate change is complex, there is a growing consensus that deforestation leads to warmer, drier climates. The consensus is based on experimental studies at the microscale and modelling studies at the global scale, sup plemented by a small number of observational
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Seiller, G., and F. Anctil. "Climate change impacts on the hydrologic regime of a Canadian river: comparing uncertainties arising from climate natural variability and lumped hydrological model structures." Hydrology and Earth System Sciences 18, no. 6 (2014): 2033–47. http://dx.doi.org/10.5194/hess-18-2033-2014.

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Abstract. Diagnosing the impacts of climate change on water resources is a difficult task pertaining to the uncertainties arising from the different modelling steps. Lumped hydrological model structures contribute to this uncertainty as well as the natural climate variability, illustrated by several members from the same Global Circulation Model. In this paper, the hydroclimatic modelling chain consists of twenty-four potential evapotranspiration formulations, twenty lumped conceptual hydrological models, and seven snowmelt modules. These structures are applied on a natural Canadian sub-catchm
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Dissertations / Theses on the topic "Climatic change modelling"

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Xiaohan, Liao. "Two general circulation model experiments for 6000 years B.P. : analyses and comparisons with palaeoclimatic data." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333247.

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Kerr, Andrew Robert. "Modelling the response of ice sheets to climatic change and topography." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/19896.

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The aim of this project is to investigate the influence of climate and topography on ice sheets in maritime environments. Numerical models are adapted to simulate the behaviour of the climate and ice sheets in southern Chile and Scotland during the last glaciation. The climate model relates climatic variables to snow accumulation and ablation using an energy balance model. The ice sheet model is based on the continuity equation for ice thickness and relates surface mass exchange to ice thickness and flow. Subsequently, a simple topography model is developed to examine the critical transition b
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Medeiros, Yvonilde D. P. "Modelling the hydrological impacts of climatic change on a semi-arid region." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386025.

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Burgess, P. E. "Future climatic and cryospheric change on millennial timescales : an assessment using two-dimensional climate modelling studies." Thesis, University of East Anglia, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266737.

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Harrison, Paula A. "Climate change and wheat production : spatial modelling of impacts in Europe." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310423.

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Immerzeel, Walter. "Spatial modelling of mountainous basins : an integrated analysis of the hydrological cycle, climate change and agriculture /." Utrecht : Koninklijk Nederlands Aardrijkskundig Genootschap, Faculteit Geowetenschappen Universiteit Utrecht, 2008. http://www.loc.gov/catdir/toc/fy0804/2008400396.html.

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Linden, Sandra van der. "Icy rivers heating up : modelling hydrological impacts of climate change in the (sub)arctic /." Amsterdam : Utrecht : Koninklijk Nederlands Aardrijkskundig Genootschap ; Faculteit Ruimtelijke Wetenschappen, Universiteit Utrecht, 2002. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=010495642&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Larson, Robert, and University of Lethbridge Faculty of Arts and Science. "Modelling climate change impacts on mountain snow hydrology, Montana-Alberta." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2008, 2008. http://hdl.handle.net/10133/669.

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A modelling approach focused on snow hydrology was developed and applied to project future changes in spring streamflow volumes in the St. Mary River headwaters basin, Montana. A spatially distributed, physically-based, hydrometeorological and snow mass balance model was refined and used to produce snow water equivalent (SWE) and rainfall surfaces for the study watershed. Snowmelt runoff (SR) and effective rainfall runoff (RR) volumes were compiled for the 1961-2004 historical period. A statistical regression model was developed linking spring streamflow volume (QS) at Babb, Montana to the SR
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Oosthuizen, Hamman Jacobus. "Modelling the financial vulnerability of farming systems to climate change in selected case study areas in South Africa." Thesis, Stellenbosch: Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95831.

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Thesis (PhD)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Numerous studies indicate that the agricultural sector is physically and economically vulnerable to climate change. In order to determine possible impacts of projected future climates on the financial vulnerability of selective farming systems in South Africa, a case study methodology was applied. The integrated modelling framework consists of four modules, viz.: climate change impact modelling, dynamic linear programming (DLP) modelling, modelling interphases and financial vulnerability assessment modelling. Empirically downsca
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MacDonald, Ryan J., and University of Lethbridge Faculty of Arts and Science. "Modelling the potential impacts of climate change on snowpack in the St. Mary River watershed, Montana." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2008, 2008. http://hdl.handle.net/10133/2511.

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Climate change poses significant threats to mountain ecosystems in North America (Barnett et al., 2005) and will subsequently impact water supply for human and ecosystem use. To assess these threats, we must have an understanding of the local variability in hydrometeorological conditions over the mountains. This thesis describes the continued development and application of a fine scale spatial hydrometeorological model, GENESYS (GENerate Earth SYstems Science input). The GENESYS model successfully simulated daily snowpack values for a 10 year trial period and annual runoff volumes for a thirty
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Books on the topic "Climatic change modelling"

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E, Schlesinger M., ed. Physically-based modelling and simulation of climate and climatic change. Kluwer Academic Publishers, 1988.

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Schlesinger, M. E., ed. Physically-Based Modelling and Simulation of Climate and Climatic Change. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3041-4.

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Schlesinger, M. E., ed. Physically-Based Modelling and Simulation of Climate and Climatic Change. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3043-8.

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Janssen, Marco. Modelling global change: The art of integrated assessment modelling. Edward Elgar Pub., 1998.

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Gosain, Ashvani K. Modelling climate change impact on the hydrology of the eastern Himalayas. International Centre for Integrated Mountain Development, 2010.

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Sanderson, Jamie. Climate change and economic development: SEA regional modelling and analysis. Palgrave Macmillan, 2007.

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Atlantic Workshop on Energy and Environmental Economics (1st 2004 A Toxa, Spain). Economic modelling of climate change and energy policies. Edward Elgar, 2004.

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service), SpringerLink (Online, ed. Environmental change in Siberia: Earth observation, field studies and modelling. Springer, 2010.

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International Summer Colloquium on Climate Change Dynamics and Modelling (3rd 1990 Beijing, China). The Third International Summer Colloquium on Climate Change Dynamics and Modelling, August 14-20, Beijing, China. China Meteorological Press, 1990.

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Suasteguiá, Angel Utset. Introducing modelling tools to support water-management decision-making under climate change conditions. Nova Science Publishers, 2009.

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Book chapters on the topic "Climatic change modelling"

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Crowley, Thomas J. "Paleoclimate Modelling." In Physically-Based Modelling and Simulation of Climate and Climatic Change. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3043-8_7.

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Saltzman, Barry. "Modelling the Slow Climate Attractor." In Physically-Based Modelling and Simulation of Climate and Climatic Change. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3043-8_3.

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Crucifix, Michel, Philippe Tulkens, and Andre Berger. "Modelling Abrupt Climatic Change During the Last Glaciation." In Geophysical Monograph Series. American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm126p0117.

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Sivakumar, T., P. T. Suraj, and P. C. Jayashree. "Trends in Climatic Change in the Last 50 Years at Seven Agro-climatic Regions of Tamil Nadu." In Climate Change Modelling, Planning and Policy for Agriculture. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2157-9_19.

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Hibler, W. D. "Modelling Sea Ice Thermodynamics and Dynamics in Climate Studies." In Physically-Based Modelling and Simulation of Climate and Climatic Change. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3041-4_12.

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Chervin, Robert M. "On the Relationship Between Computer Technology and Climate Modelling." In Physically-Based Modelling and Simulation of Climate and Climatic Change. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3043-8_12.

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Mitchell, J. F. B. "Simulation of Climate Change Due to Increased Atmospheric CO2." In Physically-Based Modelling and Simulation of Climate and Climatic Change. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3043-8_11.

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Han, Young-June. "Modelling and Simulation of the General Circulation of the Ocean." In Physically-Based Modelling and Simulation of Climate and Climatic Change. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3041-4_11.

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Olesen, Jørgen E., and Kai Grevsen. "Simulation of Effects of Climatic Change on Cauliflower Production." In Predictability and Nonlinear Modelling in Natural Sciences and Economics. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0962-8_11.

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Galán, E., R. Cañada, F. Fernández, and B. Cervera. "Annual Temperature Evolution in the Southern Plateau of Spain from the Construction of Regional Climatic Time Series." In Detecting and Modelling Regional Climate Change. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04313-4_11.

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Conference papers on the topic "Climatic change modelling"

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R. Davies, Evan, and Slobodan Simonovic. "Modelling Social-Economic-Climatic Feedbacks for Policy Development." In 2006 IEEE EIC Climate Change Conference. IEEE, 2006. http://dx.doi.org/10.1109/eicccc.2006.277267.

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Pei, Qing, David D. Zhang, and Jingjing Xu. "Price Responses of Grain Market under Climate Change in Pre-industrial Western Europe by ARX Modelling." In Special Session on Applications of Modeling and Simulation to Climatic Change and Environmental Sciences. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005025208110817.

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Mesenzeva, Irina, Irina Mesenzeva, Elena Sovga, et al. "SELF-PURIFICATION OF SEA COASTAL WATER AREAS UNDER CLIMATIC AND ANTHROPOGENIC CHANGE." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4315890e6b.

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The ability of a bay and gulf ecosystems to self-purification was estimated and the current ecological state of the Sevastopol Bay in whole and the separated parts of the bay was given as an example. A zoning by type of anthropogenic impact subject to the water exchange with the open sea and an influence of the Chernaya River run-off were taken into account. A comparative analysis of assimilation capacity of the most environmentally disadvantaged part of the Sevastopol Bay (the Southern Bay) and the clean water area, bordering on the open sea, was carried out. The hydrodynamic regime of the Se
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Mesenzeva, Irina, Irina Mesenzeva, Elena Sovga, et al. "SELF-PURIFICATION OF SEA COASTAL WATER AREAS UNDER CLIMATIC AND ANTHROPOGENIC CHANGE." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b949eaa36b5.77769862.

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The ability of a bay and gulf ecosystems to self-purification was estimated and the current ecological state of the Sevastopol Bay in whole and the separated parts of the bay was given as an example. A zoning by type of anthropogenic impact subject to the water exchange with the open sea and an influence of the Chernaya River run-off were taken into account. A comparative analysis of assimilation capacity of the most environmentally disadvantaged part of the Sevastopol Bay (the Southern Bay) and the clean water area, bordering on the open sea, was carried out. The hydrodynamic regime of the Se
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Stefanakos, Christos N., and Erik Vanem. "Climatic Forecasting of Wind and Waves Using Fuzzy Inference Systems." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61968.

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Wind and wave climatic simulations are of great interest in a number of different applications, including the design and operation of ships and offshore structures, marine energy generation, aquaculture and coastal installations. In a climate change perspective, projections of such simulations to a future climate are of great importance for risk management and adaptation purposes. This work investigates the applicability of FIS/ANFIS models for climatic simulations of wind and wave data. The models are coupled with a nonstationary time series modelling, which decomposes the initial time series
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Stefanakos, Christos N., and Erik Vanem. "Comparison of Wind and Wave Extremes in Very Long-Term Climatic Scales." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77581.

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The study of very long-term ocean climate is of great interest in a number of different applications. In a climate change perspective, estimations of return values of wind and wave parameters to a future climate are of great importance for risk management and adaptation purposes. However, there are various ways of estimating the required return values, which introduce additional uncertainties in extreme weather and climate variables pertaining to both current and future climates. The different approaches that are considered in the present work include the annual maxima approach, the block maxi
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Armstrong, Jennifer, and Ata Khan. "Modelling Intelligent Transportation Systems and Their Implications for Climate Change." In 2006 IEEE EIC Climate Change Conference. IEEE, 2006. http://dx.doi.org/10.1109/eicccc.2006.277184.

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"Modelling hydrological changes in New South Wales under future climate change." 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.g4.young.

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Lucas, C., M. Bernardino, and C. Guedes Soares. "Relation Between Atmospheric Circulation Patterns in the North Atlantic and the Sea States in the Iberian Peninsula." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18654.

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Abstract A statistical analysis of significant wave height (Hs) in eight locations offshore Portugal continental coast is performed. Specifically, locations at different water depths at Aguçadoura, Leixões, Nazaré, Peniche, Sines and Faro were chosen. The spectral and parametric information from these points used in this analysis was obtained from 21-year hindcast simulations using the spectral wave model SWAN. The modelling of the climatic variability of directional spectra provides reliable information of the most relevant parameters at these locations, i.e., how the spectral parameters and
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Masys, A. J. "Understanding Climate Change through Modelling and Simulation: A Case for Verification, Validation and Accreditation." In 2006 IEEE EIC Climate Change Conference. IEEE, 2006. http://dx.doi.org/10.1109/eicccc.2006.277225.

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Reports on the topic "Climatic change modelling"

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Flato, G., N. Gillett, V. Arora, A. Cannon, and J. Anstey. Modelling future climate change. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/327808.

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model applica
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Qiang, B., and R. De Jong. Modelling four climate change scenarios for Prince Edward Island. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2007. http://dx.doi.org/10.4095/327232.

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De Jong, R., B. Qiang, and J. Y. Yang. Modelling of nitrogen leaching in Prince Edward Island under climate change scenarios. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2007. http://dx.doi.org/10.4095/327233.

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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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Dyke, L., and W. Sladen. Assessing the impact of climate change on permafrost based on field observations and modelling - Wapusk National Park case study: sub-activity: in-situ monitoring of permafrost dynamics in response to climate change. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/290160.

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Zhang, Y., J. Li, X. Wang, et al. Assessing the impacts of climate change on permafrost based on field observations and modelling/mapping - Wapusk National Park case study. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/290159.

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Vigneault, H., D. Paradis, J. M. Ballard, and R. lefebvre. Numerical modelling of the evolution of groundwater nitrate concentrations under various climate change scenarios and agricultural practices for Prince Edward Island. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2007. http://dx.doi.org/10.4095/225779.

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Downes, Jane, ed. Chalcolithic and Bronze Age Scotland: ScARF Panel Report. Society for Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.184.

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The main recommendations of the panel report can be summarised under five key headings:  Building the Scottish Bronze Age: Narratives should be developed to account for the regional and chronological trends and diversity within Scotland at this time. A chronology Bronze Age Scotland: ScARF Panel Report iv based upon Scottish as well as external evidence, combining absolute dating (and the statistical modelling thereof) with re-examined typologies based on a variety of sources – material cultural, funerary, settlement, and environmental evidence – is required to construct a robust and up to da
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Transformational adaptation of key root and tuber crops in Asia: Assessing crop suitability amidst climate change by species distribution modelling. International Potato Center, 2019. http://dx.doi.org/10.4160/9789290605300.

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