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Journal articles on the topic 'Landscape evolution'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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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4

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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8

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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9

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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10

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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11

de Jong, Jolanda, and Sven Stremke. "Evolution of Energy Landscapes: A Regional Case Study in the Western Netherlands." Sustainability 12, no. 11 (2020): 4554. http://dx.doi.org/10.3390/su12114554.

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While the transition to renewable energy becomes a main driver of landscape change, few publications discuss the historical transformation of landscapes for the development of energy—commonly referred to as energy landscape. The research reported in this paper investigates the evolution of energy landscapes in the Western Netherlands—a region shaped by peat extraction and dotted with windmills. Five periods have been identified, dominated by wood, peat, wind, fossil fuels, and modern renewables, respectively. During each period, the landscape coevolved with the new energy source hosting new en

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12

Li, Ye, and Claus O. Wilke. "Digital Evolution in Time-Dependent Fitness Landscapes." Artificial Life 10, no. 2 (2004): 123–34. http://dx.doi.org/10.1162/106454604773563559.

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We study the response of populations of digital organisms that adapt to a time-varying (periodic) fitness landscape of two oscillating peaks. We corroborate in general predictions from quasi-species theory in dynamic landscapes, such as adaptation to the average fitness landscape at small periods (high frequency) and quasistatic adaptation at large periods (low frequency). We also observe adaptive phase shifts (time lags between a change in the fitness landscape and an adaptive change in the population) that indicate a low-pass filter effect, in agreement with existing theory. Finally, we witn

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13

Reiners, Peter W., and David L. Shuster. "Thermochronology and landscape evolution." Physics Today 62, no. 9 (2009): 31–36. http://dx.doi.org/10.1063/1.3226750.

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14

Caldarelli, Guido, Achille Giacometti, Amos Maritan, Ignacio Rodriguez-Iturbe, and Andrea Rinaldo. "Randomly pinned landscape evolution." Physical Review E 55, no. 5 (1997): R4865—R4868. http://dx.doi.org/10.1103/physreve.55.r4865.

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15

Fouache, Eric, Kosmas Pavlopoulos, and Stathis Stiros. "Landscape evolution and geoarchaeology." Quaternary International 216, no. 1-2 (2010): 1–2. http://dx.doi.org/10.1016/j.quaint.2009.11.007.

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16

Turkington, Alice V., Jonathan D. Phillips, and Sean W. Campbell. "Weathering and landscape evolution." Geomorphology 67, no. 1-2 (2005): 1–6. http://dx.doi.org/10.1016/j.geomorph.2004.08.013.

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17

Vorobyeva, Alexandra M. "Evolution of Landscape Architecture." Materials Science Forum 931 (September 2018): 856–61. http://dx.doi.org/10.4028/www.scientific.net/msf.931.856.

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The article considers the historical process of landscape architecture development as a special direction of architectural activity, engaged in creating the open spaces environment of the urban areas. The methods and principles of landscape objects creating throughout the considered historical period, including the present stage, are investigated. The connection between architecture and landscape architecture in urban open spaces construction, as well as the influence of state policy on the formation of a school of landscape architects are showed.

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18

Campbell, I. B., and G. G. C. Claridge. "Landscape evolution in Antarctica." Earth-Science Reviews 25, no. 5-6 (1988): 345–53. http://dx.doi.org/10.1016/0012-8252(88)90002-5.

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19

Franzmeier, D. P. "Soils and landscape evolution." Earth-Science Reviews 32, no. 3 (1992): 206–7. http://dx.doi.org/10.1016/0012-8252(92)90040-z.

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20

Zheng, Liming, and Shiqi Luo. "Adaptive Differential Evolution Algorithm Based on Fitness Landscape Characteristic." Mathematics 10, no. 9 (2022): 1511. http://dx.doi.org/10.3390/math10091511.

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Differential evolution (DE) is a simple, effective, and robust algorithm, which has demonstrated excellent performance in dealing with global optimization problems. However, different search strategies are designed for different fitness landscape conditions to find the optimal solution, and there is not a single strategy that can be suitable for all fitness landscapes. As a result, developing a strategy to adaptively steer population evolution based on fitness landscape is critical. Motivated by this fact, in this paper, a novel adaptive DE based on fitness landscape (FL-ADE) is proposed, whic

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21

Zhang, Yuexia. "Core Advances in Cultural Landscape Research and Pathways Towards Sustainable Development." Frontiers in Sustainable Development 5, no. 3 (2025): 130–39. https://doi.org/10.54691/25qcta90.

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As the theoretical core of cultural geography, cultural landscape research has undergone a century of disciplinary evolution, gradually establishing an interdisciplinary and integrative research paradigm. This paper systematically reviews the research trajectory of cultural landscapes, analyzes their academic development, and explores current research hotspots and challenges. The findings indicate that cultural landscape studies primarily focus on conceptual definitions, landscape gene identification, ecological function analysis, and cultural heritage conservation. With the deepening academic

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22

Zhou, Zhe Chen, and Jun Wang. "Evolution of landscape dynamics in the Yangtze River Delta from 2000 to 2020." Journal of Water and Climate Change 13, no. 3 (2022): 1241–56. http://dx.doi.org/10.2166/wcc.2022.307.

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Abstract Based on the 2000–2020 land cover data, the landscape dynamics and landscape pattern index are used to study the landscape pattern changes of the Yangtze River Delta. The results show that with the growth of built-in land area, the dominance of natural landscape in the Yangtze River Delta is gradually weakened. From the perspective of the overall landscape pattern, the degree of landscape fragmentation in this area is increasing, and the degree of landscape connectivity and aggregation are decreasing in varying degrees. The regional landscape is developing toward homogeneous distribut

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23

F, F. "Research on the Color Evolution and Brush Development of Landscape Painting." Global Knowledge and Convergence Association 6, no. 2 (2023): 31–69. http://dx.doi.org/10.47636/gkca.2023.6.2.31.

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Landscape painting was independent from figure painting in the Sui Dynasty of China. At first, it was “Blue-and-Green Landscape” which was characterized with color expression. It matured in the Tang Dynasty and developed in the Song Dynasty. Then, the literati painters in the Tang Dynasty pioneered literati painting, with “Light Crimson Landscape” or “Ink Landscape” to lead landscape painting from realism to freehand, and established a combination of poetry, calligraphy, painting and seal. Then the literati in the Song Dynasty lent sparkle to the replacement of heavy green color with light cri

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24

Heckmann, David. "Modelling metabolic evolution on phenotypic fitness landscapes: a case study on C4 photosynthesis." Biochemical Society Transactions 43, no. 6 (2015): 1172–76. http://dx.doi.org/10.1042/bst20150148.

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How did the complex metabolic systems we observe today evolve through adaptive evolution? The fitness landscape is the theoretical framework to answer this question. Since experimental data on natural fitness landscapes is scarce, computational models are a valuable tool to predict landscape topologies and evolutionary trajectories. Careful assumptions about the genetic and phenotypic features of the system under study can simplify the design of such models significantly. The analysis of C4 photosynthesis evolution provides an example for accurate predictions based on the phenotypic fitness la

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25

Gong, Zhiqiang, Zhuting Zhang, Jianqin Zhou, Jiami Zhou, and Wenhui Wang. "The Evolutionary Process and Mechanism of Cultural Landscapes: An Integrated Perspective of Landscape Ecology and Evolutionary Economic Geography." Land 11, no. 11 (2022): 2062. http://dx.doi.org/10.3390/land11112062.

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Cultural landscapes are joint masterpieces of man and nature with outstanding universal value. Adequate knowledge of their evolutionary process and mechanism is crucial to their development, protection, and management. However, theoretical understanding about such has been limited as existing studies tend to focus on the descriptive and interpretative analysis of the evolutionary process and pay less attention to the underlying mechanism of the process. Integrating the traditional perspective of landscape ecology in cultural landscape research and theories of path dependence and path creation

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26

Brierley, Gary, Kirstie Fryirs, Carola Cullum, Marc Tadaki, He Qing Huang, and Brendon Blue. "Reading the landscape." Progress in Physical Geography: Earth and Environment 37, no. 5 (2013): 601–21. http://dx.doi.org/10.1177/0309133313490007.

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Assertions of a ‘naughty world’ (Kennedy, 1979) point to the importance of place-based knowledge in informing landscape interpretations and management applications. Building upon conceptual and theoretical insights into the geomorphic character, behaviour and evolution of rivers, this paper outlines an approach to the practice of fluvial geomorphology: ‘reading the landscape’. This scaffolded framework of field-based interpretations explicitly recognizes the contingent nature of biophysical interactions within any given landscape. A bottom-up, constructivist approach is applied to identify lan

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27

Sobczyński, Daniel, and Izabela Karsznia. "Landscape evolution in the area of Kazimierski Landscape Park." Polish Cartographical Review 51, no. 2 (2019): 81–94. http://dx.doi.org/10.2478/pcr-2019-0007.

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Abstract The presented research concerning the landscape evolution of the area of the Kazimierski Landscape Park assumed the analysis of landscape changes that took place in the western part of the Nałęczów Plateau in eastern Poland as a result of increased anthropopressure. To achieve this goal, the diverse data was employed: archives of the “Archeological Survey of Poland” obtained from the National Heritage Board of Poland, the registry data from the 16th century made available as part of the “Atlas Fontium” project elaborated by the Institute of History of the Polish Academy of Sciences, o

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28

Steer, Philippe. "Short communication: Analytical models for 2D landscape evolution." Earth Surface Dynamics 9, no. 5 (2021): 1239–50. http://dx.doi.org/10.5194/esurf-9-1239-2021.

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Abstract. Numerical modelling offers a unique approach to understand how tectonics, climate and surface processes govern landscape dynamics. However, the efficiency and accuracy of current landscape evolution models remain a certain limitation. Here, I develop a new modelling strategy that relies on the use of 1D analytical solutions to the linear stream power equation to compute the dynamics of landscapes in 2D. This strategy uses the 1D ordering, by a directed acyclic graph, of model nodes based on their location along the water flow path to propagate topographic changes in 2D. This analytic

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29

Bonetti, Sara, Milad Hooshyar, Carlo Camporeale, and Amilcare Porporato. "Channelization cascade in landscape evolution." Proceedings of the National Academy of Sciences 117, no. 3 (2020): 1375–82. http://dx.doi.org/10.1073/pnas.1911817117.

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The hierarchy of channel networks in landscapes displays features that are characteristic of nonequilibrium complex systems. Here we show that a sequence of increasingly complex ridge and valley networks is produced by a system of partial differential equations coupling landscape evolution dynamics with a specific catchment area equation. By means of a linear stability analysis we identify the critical conditions triggering channel formation and the emergence of characteristic valley spacing. The ensuing channelization cascade, described by a dimensionless number accounting for diffusive soil

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30

O.V., Mishchenko. "THE EVOLUTION OF SACRED LANDSCAPE." Scientific Bulletin of Kherson State University. Series Geographical Sciences, no. 12 (August 10, 2020): 25–31. http://dx.doi.org/10.32999/ksu2413-7391/2020-12-3.

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31

SAUNDERS, P. T. "The epigenetic landscape and evolution." Biological Journal of the Linnean Society 39, no. 2 (1990): 125–34. http://dx.doi.org/10.1111/j.1095-8312.1990.tb00507.x.

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32

Petren, K. "THE EVOLUTION OF LANDSCAPE GENETICS." Evolution 67, no. 12 (2013): 3383–85. http://dx.doi.org/10.1111/evo.12278.

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33

Sabeti, P. "The Landscape of Human Evolution." Science 331, no. 6018 (2011): 690. http://dx.doi.org/10.1126/science.1202570.

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34

Goudie, A. S., and John Boardman. "Soils and Quaternary Landscape Evolution." Geographical Journal 151, no. 3 (1985): 392. http://dx.doi.org/10.2307/633036.

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35

Ollier, C. D. "Evolution of the Australian landscape." Marine and Freshwater Research 52, no. 1 (2001): 13. http://dx.doi.org/10.1071/mf00032.

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Landscape evolution of Australia is on the same time scale as global tectonics and biological evolution. In places, actual landforms and deep weathering products are hundreds of millions of years old. Much of Australia has a landscape resulting from stripping of weathered rock after an earlier period of very deep weathering. Other regions have sequential landforms that provide a natural laboratory where we can work out the biogeochemistry of the past. Landforms and regolith reveal the long evolution of groundwater in Australia. Lateral movement of groundwater is of paramount importance. The ef

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36

Ferdowsi, Behrooz, Carlos P. Ortiz, and Douglas J. Jerolmack. "Glassy dynamics of landscape evolution." Proceedings of the National Academy of Sciences 115, no. 19 (2018): 4827–32. http://dx.doi.org/10.1073/pnas.1715250115.

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Soil creeps imperceptibly downhill, but also fails catastrophically to create landslides. Despite the importance of these processes as hazards and in sculpting landscapes, there is no agreed-upon model that captures the full range of behavior. Here we examine the granular origins of hillslope soil transport by discrete element method simulations and reanalysis of measurements in natural landscapes. We find creep for slopes below a critical gradient, where average particle velocity (sediment flux) increases exponentially with friction coefficient (gradient). At critical gradient there is a cont

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37

Lazar, Michael, and Uri Schattner. "Landscape evolution and hominin dispersal." Quaternary Science Reviews 29, no. 11-12 (2010): 1495–500. http://dx.doi.org/10.1016/j.quascirev.2010.03.006.

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38

Kessler, David A., Herbert Levine, Douglas Ridgway, and Lev Tsimring. "Evolution on a smooth landscape." Journal of Statistical Physics 87, no. 3-4 (1997): 519–44. http://dx.doi.org/10.1007/bf02181235.

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39

Buurman, P. "Soils and Quaternary Landscape Evolution." Geoderma 39, no. 1 (1986): 79–80. http://dx.doi.org/10.1016/0016-7061(86)90065-0.

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40

Grocholski, Brent. "Landscape evolution in a sandbox." Science 349, no. 6243 (2015): 42.18–42. http://dx.doi.org/10.1126/science.349.6243.42-r.

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41

Phillips, Jonathan D. "Weathering instability and landscape evolution." Geomorphology 67, no. 1-2 (2005): 255–72. http://dx.doi.org/10.1016/j.geomorph.2004.06.012.

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42

Owen, Lewis A., Glenn Thackray, and Chaolu Yi. "Mountain glaciation and landscape evolution." Geomorphology 103, no. 2 (2009): 155–57. http://dx.doi.org/10.1016/j.geomorph.2008.04.011.

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43

Phillips, J. D. "Biological energy in landscape evolution." American Journal of Science 309, no. 4 (2009): 271–89. http://dx.doi.org/10.2475/04.2009.01.

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44

Phillips, Jonathan D. "Self-organization and landscape evolution." Progress in Physical Geography: Earth and Environment 19, no. 3 (1995): 309–21. http://dx.doi.org/10.1177/030913339501900301.

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Self-organization is common in earth surface systems, and related principles have been proposed as general principles applicable to geomorphic systems. Non-self-organizing behaviour is also observed in geomorphic systems, however. If a reasonable box-and-arrow diagram and associated qualitative interaction matrix can be devised for a geomorphic system, one can determine whether or not (or under what conditions) the system is self-organizing. Both self- organizing (at-a-station hydraulic geometry) and non-self-organizing (soil landscape evolution) geomorphic systems are illustrated. The develop

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45

Limbrey, Susan. "Soils and quaternary landscape evolution." Journal of Archaeological Science 13, no. 6 (1986): 597–98. http://dx.doi.org/10.1016/0305-4403(86)90043-9.

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46

Tucker, Gregory E. "Natural experiments in landscape evolution." Earth Surface Processes and Landforms 34, no. 10 (2009): 1450–60. http://dx.doi.org/10.1002/esp.1833.

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47

Gilchrist, A. R., and M. A. Summerfield. "Denudation, isostasy and landscape evolution." Earth Surface Processes and Landforms 16, no. 6 (1991): 555–62. http://dx.doi.org/10.1002/esp.3290160607.

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48

Kiernan, Kevin. "Tropical mountain geomorphology and landscape evolution in north-west Thailand." Zeitschrift für Geomorphologie 35, no. 2 (1991): 187–206. http://dx.doi.org/10.1127/zfg/35/1991/187.

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49

Schaefer, Carlos, and John Dalrymple. "Landscape evolution in Roraima, North Amazonia: Planation, paleosols and paleoclimates." Zeitschrift für Geomorphologie 39, no. 1 (1995): 1–28. http://dx.doi.org/10.1127/zfg/39/1995/1.

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50

Jiang, Lili, and Yating Li. "Analysis of Landscape Pattern Evolution and Impact Factors in the Mainstream Basin of the Tarim River from 1980 to 2020." Hydrology 11, no. 7 (2024): 93. http://dx.doi.org/10.3390/hydrology11070093.

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The mainstream basin of the Tarim River serves as a vital ecological security barrier that prevents the merging and expansion of deserts and an important strategic corridor directly linking Qinghai and Xinjiang. With society’s development and climate change, ecological issues such as river interruption, vegetation degradation, and land desertification in the basin have notably intensified, and the ecological security is facing a critical test. Exploring the characteristics of landscape changes and their driving factors within the basin is crucial in improving the ecological environment system’

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