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Letteratura scientifica selezionata sul tema "Landscape evolution"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Landscape evolution"

1

Ollier, C. D. "Laterite profiles, ferricrete and landscape evolution." Zeitschrift für Geomorphologie 35, no. 2 (1991): 165–73. http://dx.doi.org/10.1127/zfg/35/1991/165.

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2

Hancock, G. R., G. R. Willgoose, and John Lowry. "Transient landscapes: gully development and evolution using a landscape evolution model." Stochastic Environmental Research and Risk Assessment 28, no. 1 (2013): 83–98. http://dx.doi.org/10.1007/s00477-013-0741-y.

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3

Knight, Jasper, and Stephan Harrison. "Paraglacial evolution of the Irish landscape." Irish Geography 51, no. 2 (2019): 171–86. http://dx.doi.org/10.55650/igj.2018.1370.

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Paraglacial processes represent the dominant mechanism of geomorphic change in deglaciating landscapes worldwide and are now being increasingly recognised as controls on deglacial and postglacial landscape dynamics. This reflects the influence of glacigenic lithospheric loading/unloading cycles and patterns of glacigenic erosion and deposition. Ireland is an important location for studying the impacts of paraglacial processes in the landscape, as it was strongly imprinted by the erosional and depositional imprints of late Pleistocene glaciations and was affected by rapid shifts in North Atlant

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Tucker, Gregory E., and Gregory R. Hancock. "Modelling landscape evolution." Earth Surface Processes and Landforms 35, no. 1 (2010): 28–50. http://dx.doi.org/10.1002/esp.1952.

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5

Berthling, Ivar, and Bernd Etzelmüller. "The concept of cryo-conditioning in landscape evolution." Quaternary Research 75, no. 2 (2011): 378–84. http://dx.doi.org/10.1016/j.yqres.2010.12.011.

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AbstractRecent accounts suggest that periglacial processes are unimportant for large-scale landscape evolution and that true large-scale periglacial landscapes are rare or non-existent. The lack of a large-scale topographical fingerprint due to periglacial processes may be considered of little relevance, as linear process–landscape development relationships rarely can be substantiated. Instead, periglacial landscapes may be classified in terms of specific landform associations. We propose “cryo-conditioning”, defined as the interaction of cryotic surface and subsurface thermal regimes and geom

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6

van der Meij, W. Marijn, Arnaud J. A. M. Temme, Steven A. Binnie, and Tony Reimann. "ChronoLorica: introduction of a soil–landscape evolution model combined with geochronometers." Geochronology 5, no. 1 (2023): 241–61. http://dx.doi.org/10.5194/gchron-5-241-2023.

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Abstract. Understanding long-term soil and landscape evolution can help us understand the threats to current-day soils, landscapes and their functions. The temporal evolution of soils and landscapes can be studied using geochronometers, such as optically stimulated luminescence (OSL) particle ages or radionuclide inventories. Also, soil–landscape evolution models (SLEMs) can be used to study the spatial and temporal evolution of soils and landscapes through numerical modelling of the processes responsible for the evolution. SLEMs and geochronometers have been combined in the past, but often th

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Iwasawa, Junichiro, Tomoya Maeda, Atsushi Shibai, Hazuki Kotani, Masako Kawada, and Chikara Furusawa. "Analysis of the evolution of resistance to multiple antibiotics enables prediction of the Escherichia coli phenotype-based fitness landscape." PLOS Biology 20, no. 12 (2022): e3001920. http://dx.doi.org/10.1371/journal.pbio.3001920.

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The fitness landscape represents the complex relationship between genotype or phenotype and fitness under a given environment, the structure of which allows the explanation and prediction of evolutionary trajectories. Although previous studies have constructed fitness landscapes by comprehensively studying the mutations in specific genes, the high dimensionality of genotypic changes prevents us from developing a fitness landscape capable of predicting evolution for the whole cell. Herein, we address this problem by inferring the phenotype-based fitness landscape for antibiotic resistance evolu

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Xu, Ninghan, Peng Zeng, Yuanyuan Guo, et al. "The spatiotemporal evolution of rural landscape patterns in Chinese metropolises under rapid urbanization." PLOS ONE 19, no. 5 (2024): e0301754. http://dx.doi.org/10.1371/journal.pone.0301754.

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Understanding the evolution of rural landscapes in metropolises during rapid urbanization is crucial for formulating policies to protect the rural ecological environment. In this study, remote sensing and geographical information system data, as well as applied landscape index analysis, are used to examine the spatiotemporal evolution of rural landscape patterns in the Beijing-Tianjin region of China, which has experienced rapid urbanization. The relationships between land use/land cover changes and changes in rural landscape patterns are explored. The results revealed significant spatial diff

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Nabieva, Elena, and Georgii A. Bazykin. "SELVa: Simulator of evolution with landscape variation." PLOS ONE 15, no. 12 (2020): e0242225. http://dx.doi.org/10.1371/journal.pone.0242225.

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Organisms evolve to increase their fitness, a process that may be described as climbing the fitness landscape. However, the fitness landscape of an individual site, i.e., the vector of fitness values corresponding to different variants at this site, can itself change with time due to changes in the environment or substitutions at other epistatically interacting sites. While there exist a number of simulators for modeling different aspects of molecular evolution, very few can accommodate changing landscapes. We present SELVa, the Simulator of Evolution with Landscape Variation, aimed at modelin

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Yu, Linjun, Xiaotong Zhang, Feng He, and Xiaojun Wang. "Participatory Historical Village Landscape Analysis Using a Virtual Globe-Based 3D PGIS: Guizhou, China." Sustainability 14, no. 21 (2022): 14022. http://dx.doi.org/10.3390/su142114022.

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The analysis of historical village landscape characteristics and the influential driving factors of their evolutions can provide an essential decision-making basis for rural sustainable development strategies and landscape planning. How to obtain historical village landscape data at a time when objectively recorded data, such as remote sensing images, were unavailable is a key problem that restricts the analysis of village landscape evolution characteristics. As local villagers are important knowledge sources regarding historical village landscapes, a participatory data collection and analysis

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Tesi sul tema "Landscape evolution"

1

Martin, Yvonne. "Modelling geomorphology in landscape evolution." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0030/NQ27198.pdf.

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Hurst, Martin David. "Hillslope morphology as an indicator of landscape evolution in tectonically active landscapes." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/12228.

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Hillslopes comprise the majority of unglaciated upland landscapes; they are the primary source for the production of sediment from bedrock, and the routing system by which sediment is delivered to the channel network. Yet the nature of hillslope response to changes in tectonic, climatic or base-level boundary conditions is poorly understood in terms of the spatial and temporal distribution of hillslope morphology. Here I exploit a previously published framework for exploring hillslope morphology in high relief landscapes (Roering et al., 2007), to address several critical questions: Does high

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Jamieson, Stewart S. R. "Modelling landscape evolution under ice sheets." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/29818.

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This thesis details the application of numerical modelling techniques to simulate erosion under ice sheets with the aim of better understanding the interrelationships between glacial erosion, long-term landscape evolution and ice dynamics. A model is developed that predicts patterns of basal erosion in a glaciologically sensible manner and shows that ‘fluvial’ landscapes can become ‘glacial’ systems within 100 kyrs. By simulating ice sheet growth and erosion over synthetic landscapes of varying form, amplitude and wavelength the topographic characteristics that are most critical to the evoluti

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Boardman, John. "Landscape evolution over Pleistocene and modern timescales." Thesis, Keele University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400115.

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Bosch, Rachel. "Landscape Evolution of the Central Kentucky Karst." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627665906577779.

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Odoni, Nicholas Alan. "Exploring equifinality in a landscape evolution model." Thesis, University of Southampton, 2007. https://eprints.soton.ac.uk/153687/.

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Model equifinality is the property by which very similar model outputs can be generated by many different combinations of model inputs. It is known in numerical models used in other disciplines, and is thought to be likely in landscape evolution models (“LEMs”) also, as they incorporate many process parameters of uncertain value. LEM equifinality, if pervasive, would be a serious obstacle to falsifying working hypotheses and would frustrate landscape evolution research, but to date it has not been quantified. This is attempted here, by sampling a LEM’s response in its parameter space. A well k

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Nicholson, Uisdean A. M. "Landscape evolution and sediment routing across a strike-slip plate boundary." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources. Restricted: no access until July 20, 2014, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=59100.

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Baran, Ramona. "Quantification of landscape evolution on multiple time-scales." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-148038.

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9

CARBONO, ALONSO JOAQUIN JUVINAO. "COMPUTER SIMULATION OF LANDSCAPE EVOLUTION OF DRAINAGE BASINS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2010. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21617@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>A superfície da terra é formada por processos geológicos que geram as rochas, assim como por processos naturais de degradação e de erosão. A erosão destrói as estruturas que compõem o solo e seu transporte é feito pela ação da água da chuva, do vento, da gravidade e até do gelo. A origem e evolução das bacias sedimentares, dentre outros fenômenos, é estudada pela geologia sedimentar, a qual trata do estudo dos processos físicos, químicos e biológicos atuantes na superfície da terra desde o seu início até os dias atuais. Na atualidade, o uso

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Richardson, Paul William Ph D. Massachusetts Institute of Technology. "Topographic asymmetry and climate controls on landscape evolution." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101346.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 145-157).<br>Landscapes are expected to evolve differently under the influence of different climate conditions. However, the relationship between landscape evolution and climate is not well understood. I investigate the relationship between landscape evolution and climate by using natural experiments in which climate varies with slope aspect (geographic orientation) and causes differences in

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Libri sul tema "Landscape evolution"

1

Carson, Mike T. Archaeological Landscape Evolution. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31400-6.

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2

Hoorn, C., and F. P. Wesselingh, eds. Amazonia: Landscape and Species Evolution. Wiley-Blackwell Publishing Ltd., 2009. http://dx.doi.org/10.1002/9781444306408.

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Harmon, Russell S., and William W. Doe, eds. Landscape Erosion and Evolution Modeling. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0575-4.

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4

1942-, Boardman John, and Quaternary Research Association, eds. Soils and quaternary landscape evolution. Wiley, 1985.

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5

1942-, Boardman John, and Quaternary Research Association (Great Britain), eds. Soils and quaternary landscape evolution. Wiley, 1985.

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6

1960-, Willett Sean D., ed. Tectonics, climate, and landscape evolution. Geological Society of America, 2006.

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7

Festival d'histoire de Montbrison (6th 1996). Evolution et représentation du paysage de 1750 à nos jours. Ville de Montbrison, 1997.

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8

Michaux, Bernard. Biogeology: Evolution in a Changing Landscape. CRC Press, 2019. http://dx.doi.org/10.1201/9780429053443.

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Schumer, Beryl. Wychwood: The evolution of a wooded landscape. 2nd ed. Wychwood Press, 1999.

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10

International, Conference on Evolution Monitoring Simulation Management and Remediation of the Geological Environment and Landscape (3rd 2008 New Forest England). Geo-environment and landscape evolution III: Evolution, monitoring, simulation, management and remediation of the geological environment and landscape. WIT, 2008.

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Capitoli di libri sul tema "Landscape evolution"

1

Fowler, Andrew. "Landscape Evolution." In Interdisciplinary Applied Mathematics. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-721-1_6.

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2

Kelly, Ian. "Landscape Evolution." In Hong Kong. Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-08784-6_3.

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3

Shekhar, Shashi, and Hui Xiong. "Evolution, Landscape." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_386.

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4

Lavender, Samantha, and Andrew Lavender. "Landscape Evolution." In Practical Handbook of Remote Sensing, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003272274-9.

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Bryant, Edward. "Coastal Landscape Evolution." In Tsunami. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06133-7_4.

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van der Beek, Peter. "Modelling Landscape Evolution." In Environmental Modelling. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118351475.ch19.

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7

Antrop, Marc, and Veerle Van Eetvelde. "Landscape Dynamics and Evolution." In Landscape Series. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-1183-6_7.

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8

Carson, Mike T. "Landscape Evolution as Natural–Cultural History." In Archaeological Landscape Evolution. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31400-6_1.

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Carson, Mike T. "700 B.C.–A.D. 1, Broadened Horizons." In Archaeological Landscape Evolution. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31400-6_10.

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Carson, Mike T. "A.D. 1–500, Temporary Stability." In Archaeological Landscape Evolution. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31400-6_11.

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Atti di convegni sul tema "Landscape evolution"

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Zhang, Bo, Fengyang Sun, Lin Wang, and Bo Yang. "Improving Controllability of Chaotic Landscape Generators by Property Evolution." In 2025 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2025. https://doi.org/10.1109/cec65147.2025.11043120.

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Beju, Daniela-Georgeta, Vasile Paul Bresfelean, and Maria Ciupac-Ulici. "VIRTUAL CURRENCY: EVOLUTION, TECHONOLOGY, PERSPECTIVES." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s03/25.

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In this paper we aim to present the theoretical foundations of virtual currencies, distinguishing them from legal tender, and to explore the blockchain technology that underpins their creation. We classify the existing virtual currencies into three categories (cryptocurrencies, stablecoins, and Central Bank Digital Currency), and analyze their characteristics and market evolution. We also present the evolution of popular cryptocurrencies, bitcoin and Ethereum, underline their market dynamics, historical price trends and mining distribution. Moreover, we assess the implications of these digital

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3

Chojnacki, Matthew, and Anna Urso. "AEOLIAN-DRIVEN LANDSCAPE EVOLUTION ON MARS." In GSA Annual Meeting in Denver, Colorado, USA - 2016. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016am-282197.

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"Gully development, evolution and erosion using a landscape evolution model." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.f3.hancock.

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Uludag, Gonul, and A. Sima Uyar. "Fitness landscape analysis of differential evolution algorithms." In 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control. IEEE, 2009. http://dx.doi.org/10.1109/icsccw.2009.5379477.

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Lebrun, M., J. Darbon, and J. M. Morel. "A Numerical Implementation of Landscape Evolution Models." In Second Conference on Forward Modelling of Sedimentary Systems. EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201600381.

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Phillips, Zachary. "LANDSCAPE EVOLUTION MODELING OF GIA-ASSISTED CHANNEL AVULSIONS IN LOW RELIEF RIVERINE LANDSCAPES." In GSA Annual Meeting in Indianapolis, Indiana, USA - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018am-318623.

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Covington, Matthew D., Matija Perne, Evan Thaler, and Joseph Myre. "MODELING LANDSCAPE EVOLUTION WITHIN LAYERED ROCKS: WHITHER EQUILIBRIUM?" In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-306991.

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Sallam, Karam, Saber Elsayed, Ruhul Sarker, and Daryl Essam. "Landscape-Based Differential Evolution for Constrained Optimization Problems." In 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2018. http://dx.doi.org/10.1109/cec.2018.8477900.

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Lavagetto, G., F. D’Antona, L. Burderi, T. Di Salvo, R. Iaria, and N. R. Robba. "Binary evolution of PSR J1713+0747." In THE MULTICOLORED LANDSCAPE OF COMPACT OBJECTS AND THEIR EXPLOSIVE ORIGINS. American Institute of Physics, 2007. http://dx.doi.org/10.1063/1.2774926.

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Rapporti di organizzazioni sul tema "Landscape evolution"

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Walker, D. A., and M. D. Walker. Landscape dynamics in the Arctic foothills: Landscape evolution and vegetation succession on disturbances. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6179258.

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Vreeken, W. J. Geomorphic surfaces and postglacial landscape evolution of the Maple Creek basin, Saskatchewan. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/211124.

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Collins, Daniel B., Gregory E. Tucker, Nicole M. Gasparini, and Rafael L. Bras. Application of a Landscape Evolution Model to Gully Management and Reclamation on Military Lands: Fort Carson, CO Case Study. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada378825.

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Russ, Emily, Taylor Cagle, and Todd Swannack. Considerations for integrating ecological and hydrogeomorphic models : developing a comprehensive marsh vegetation model. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48131.

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Predictive models for salt marsh management require a systems perspective that recognizes the dynamic interactions between physical and ecological processes. It is critical to link physical process and landscape evolution models to quantify hydro-eco-geomorphic feedbacks in marsh environments. A framework that explicitly defines how to integrate these disparate models is a necessary step towards developing a comprehensive marsh model. This technical note (TN) proposes an approach to integrate existing hydrodynamic and geomorphic models with a mechanistic vegetation model into a coupled framewo

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Morieson, Nicholas, Ihsan Yilmaz, and Bulent Kenes. From National to Manufactured: The Evolution of the AKP’s Victimhood Narratives. European Center for Populism Studies (ECPS), 2024. http://dx.doi.org/10.55271/pp0040.

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This paper explores the dynamic interplay of victimhood narratives, populism, and civilizational rhetoric in Turkish Islamist politics, centering on the tenure of the Justice and Development Party (AKP). Tracing the historical trajectory of Islamist victimhood and its evolution, the study reveals how the AKP strategically fused domestic victimhood politics with Islamist civilizational populism. These narrative positions the AKP as the advocate for the victimized Sunni Muslim Turkish nation against a perceived pro-Western, secular, and corrupt elite. This narrative extends beyond the national l

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Brodie, Katherine, Ian Conery, Nicholas Cohn, Nicholas Spore, and Margaret Palmsten. Spatial variability of coastal foredune evolution, part A : timescales of months to years. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41322.

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Coastal foredunes are topographically high features that can reduce vulnerability to storm-related flooding hazards. While the dominant aeolian, hydrodynamic, and ecological processes leading to dune growth and erosion are fairly well-understood, predictive capabilities of spatial variations in dune evolution on management and engineering timescales (days to years) remain relatively poor. In this work, monthly high-resolution terrestrial lidar scans were used to quantify topographic and vegetation changes over a 2.5 year period along a micro-tidal intermediate beach and dune. Three-dimensional

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Belaid, Fateh, and Mohammad Aldubyan. Projecting Global Oil Demand for the Buildings Sector. King Abdullah Petroleum Studies and Research Center, 2024. https://doi.org/10.30573/ks--2024-mp03.

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As one of the largest consumers of energy resources, the building sector plays a key role in the evolution of the global energy landscape. Buildings account for approximately one-third of the world’s final energy consumption. This methodology paper aims to provide a projection of oil demand in the building sector. The adopted modeling framework disaggregates the oil demand outlook by four fuel types and eight regions, which, in aggregate, add up to establish the global long-term oil demand outlook for the building sector up to 2050.

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Hart, Lucy. Understanding platform businesses in the food ecosystem. Food Standards Agency, 2022. http://dx.doi.org/10.46756/sci.fsa.puh821.

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The Food Standards Agency (FSA) is responsible for public health in relation to food in England, Wales and Northern Ireland. It makes sure that people can trust that the food they buy and eat is safe and is what it says it is. As part of this responsibility, the FSA works to understand the continuing evolution of the food landscape to identify opportunities to improve standards of food safety and/or authenticity. As well as any new or magnified risks from which consumers should be protected. One area that has evolved rapidly is that of digital platforms in the food and drink industry. Consumer

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Gillespie, Rebecca, and Stephanie Friend. Trends in Twitter conversations about food during 2019-20. Food Standards Agency, 2022. http://dx.doi.org/10.46756/sci.fsa.lbs663.

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As part of our responsibilities, we work to understand the continuing evolution of the food landscape to identify opportunities to improve standards of food safety and/or authenticity. To do this, we use science and evidence to tackle the challenges of today, to identify and address emerging risks, and to ensure the UK food safety regulation framework is modern, agile and represents consumer interests. One way we build our understanding of consumer interests and concerns is through social media analysis, which permits real time monitoring of key issues relating to food safety and other consume

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Fernandes, R. A., L. Sun, F. Canisius, et al. Monthly vegetation essential climate variable maps of the United Kingdom of Great Britain and Northern Ireland from 2017 to 2023 at 20m resolution from Copernicus Sentinel 2 satellite imagery. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332557.

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Abstract (sommario):

Vegetation essential climate variables corresponding to the black-sky albedo (albedo), the fraction of absorbed photosynthetically active radiation (fAPAR), the fraction of canopy cover (fCOVER) and the leaf area index (LAI), as defined by the Global Climate Observing System, are produced for the United Kingdom at 20m resolution on a monthly basis from 2017 to 2023. Maps correspond to variables estimated from input Copernicus Sentinel-2 satellite imagery using the Landscape Evolution and Forecasting (LEAF) Toolbox implementation of the Simplified Level 2 Prototype Processor. The day of retriev

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