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1

Turcotte, Donald L. "Modeling geomorphic processes." Physica D: Nonlinear Phenomena 77, no. 1-3 (October 1994): 229–37. http://dx.doi.org/10.1016/0167-2789(94)90136-8.

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2

Burtin, A., N. Hovius, and J. M. Turowski. "Seismic monitoring of geomorphic processes." Earth Surface Dynamics Discussions 2, no. 2 (December 15, 2014): 1217–67. http://dx.doi.org/10.5194/esurfd-2-1217-2014.

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Abstract. In seismology, the signal is usually analysed for earthquake data, but these represent less than 1% of continuous recording. The remaining data are considered as seismic noise and were for a long time ignored. Over the past decades, the analysis of seismic noise has constantly increased in popularity, and this has led to develop new approaches and applications in geophysics. The study of continuous seismic records is now open to other disciplines, like geomorphology. The motion of mass at the Earth's surface generates seismic waves that are recorded by nearby seismometers and can be
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3

Timofeyev, D. A. "PRINCIPLES OF GEOMORPHIC PROCESSES CLASSIFICATION." Geomorphology RAS, no. 4 (August 25, 2015): 16. http://dx.doi.org/10.15356/0435-4281-2004-4-16-20.

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4

Malinowski, J. "Aridic soils and geomorphic processes." Geoderma 37, no. 3 (July 1986): 258–60. http://dx.doi.org/10.1016/0016-7061(86)90055-8.

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5

Warburton, Jeff. "Energenetics of Alpine Proglacial Geomorphic Processes." Transactions of the Institute of British Geographers 18, no. 2 (1993): 197. http://dx.doi.org/10.2307/622362.

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6

Wendland, Wayne M. "Climate changes: impacts on geomorphic processes." Engineering Geology 45, no. 1-4 (December 1996): 347–58. http://dx.doi.org/10.1016/s0013-7952(96)00021-x.

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7

Yang, Xiaoping, and Andrew Goudie. "Geomorphic processes and palaeoclimatology in deserts." Quaternary International 175, no. 1 (December 2007): 1–2. http://dx.doi.org/10.1016/j.quaint.2007.06.021.

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8

Malanson, George P., David R. Butler, and Konstantine P. Georgakakos. "Nonequilibrium geomorphic processes and deterministic chaos." Geomorphology 5, no. 3-5 (August 1992): 311–22. http://dx.doi.org/10.1016/0169-555x(92)90011-c.

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9

Hupp, Cliff R., and W. R. Osterkamp. "Riparian vegetation and fluvial geomorphic processes." Geomorphology 14, no. 4 (January 1996): 277–95. http://dx.doi.org/10.1016/0169-555x(95)00042-4.

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10

Olav, SLAYMAKER. "The implications of disconnectivity for the study of contemporary geomorphic processes." Revista de Geomorfologie 19, no. 1 (December 29, 2017): 5–15. http://dx.doi.org/10.21094/rg.2017.008.

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The emphasis on the understanding of contemporary geomorphic processes that has dominated Anglophone geomorphological literature over the past 50 years has seen huge progress but also some set-backs. We now have reliable measurements of mean rates of operation of all subaerial processes responsible for modification of landforms and landscapes and have made good progress in estimating the role of human activities as compared with “natural” processes. Some limited progress has been achieved in understanding the scale problem but problems remain. Perhaps the single most surprising development has
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11

Jones, David K. C., and Olav Slaymaker. "Geomorphic Hazards." Geographical Journal 163, no. 3 (November 1997): 303. http://dx.doi.org/10.2307/3059739.

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12

Asoyan, D. S. "RECENT HAZARDOUS GEOMORPHIC PROCESSES ON GREAT CAUCASUS." Geomorphology RAS, no. 3 (July 16, 2015): 24. http://dx.doi.org/10.15356/0435-4281-2007-3-24-37.

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13

Heimsath, Arjun M., and Todd A. Ehlers. "Quantifying rates and timescales of geomorphic processes." Earth Surface Processes and Landforms 30, no. 8 (2005): 917–21. http://dx.doi.org/10.1002/esp.1253.

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14

Crozier, M. J. "The frequency and magnitude of geomorphic processes and landform behaviour." Zeitschrift für Geomorphologie Supplement Volumes 115 (July 1, 1999): 35–50. http://dx.doi.org/10.1127/zfgsuppl/115/1999/35.

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15

Burtin, Arnaud, Niels Hovius, and Jens M. Turowski. "Seismic monitoring of torrential and fluvial processes." Earth Surface Dynamics 4, no. 2 (April 5, 2016): 285–307. http://dx.doi.org/10.5194/esurf-4-285-2016.

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Abstract. In seismology, the signal is usually analysed for earthquake data, but earthquakes represent less than 1 % of continuous recording. The remaining data are considered as seismic noise and were for a long time ignored. Over the past decades, the analysis of seismic noise has constantly increased in popularity, and this has led to the development of new approaches and applications in geophysics. The study of continuous seismic records is now open to other disciplines, like geomorphology. The motion of mass at the Earth's surface generates seismic waves that are recorded by nearby seismo
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16

Yuan, Shuang, Qiang Xu, Kuanyao Zhao, Xuan Wang, Qi Zhou, Wanlin Chen, Chuanhao Pu, Huajin Li, and Pinglang Kou. "Loess tableland geomorphic classification criteria and evolutionary pattern using multiple geomorphic parameters." CATENA 217 (October 2022): 106493. http://dx.doi.org/10.1016/j.catena.2022.106493.

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17

Lausch, Angela, Michael E. Schaepman, Andrew K. Skidmore, Eusebiu Catana, Lutz Bannehr, Olaf Bastian, Erik Borg, et al. "Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics." Remote Sensing 14, no. 9 (May 9, 2022): 2279. http://dx.doi.org/10.3390/rs14092279.

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Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper presents a new perspective for the definition and recording of five characteristics of geomorphodiversity with RS, namely: geomorphic genesis diversity, geomorphic trait diversity, geomorphic structural diversity, geomorphic taxonomic diversity, and geom
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18

Wohl, Ellen. "Geomorphic context in rivers." Progress in Physical Geography: Earth and Environment 42, no. 6 (May 22, 2018): 841–57. http://dx.doi.org/10.1177/0309133318776488.

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Geomorphic context refers to the geomorphic setting of a river reach, which is defined as a length of river with consistent valley and channel geometry. Context includes spatial dimensions of geometry, location within a drainage basin, and location within a global context. Context also includes temporal dimensions of the frequency and duration of specific processes influencing the river reach and the historical sequence of natural and human-induced processes that continue to influence process and form in the river reach. These spatial and temporal characteristics interact to create a geomorphi
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19

Nyberg, Rolf. "Geomorphic processes at snowpatch sites in the Abisko mountains, northern Sweden." Zeitschrift für Geomorphologie 35, no. 3 (September 19, 1991): 321–43. http://dx.doi.org/10.1127/zfg/35/1991/321.

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20

Garcia-Ruiz, Jose M., Bernardo Alvera, Gabriel Del Barrio, and Juan Puigdefabregas. "Geomorphic Processes above Timberline in the Spanish Pyrenees." Mountain Research and Development 10, no. 3 (August 1990): 201. http://dx.doi.org/10.2307/3673600.

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21

Sornette, Didier, and Yi-Cheng Zhang. "Non-linear Langevin model of geomorphic erosion processes." Geophysical Journal International 113, no. 2 (May 1993): 382–86. http://dx.doi.org/10.1111/j.1365-246x.1993.tb00894.x.

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22

Nichols, Kyle K., Paul R. Bierman, W. Ross Foniri, Alan R. Gillespie, Marc Caffee, and Robert Finkel. "Dates and rates of arid region geomorphic processes." GSA Today 16, no. 8 (2006): 4. http://dx.doi.org/10.1130/gsat01608.1.

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23

Schmidt, Kevin M., Maiana N. Hanshaw, James F. Howle, and Jonathan D. Stock. "Rainfall, runoff, and post-wildfire geomorphic transport processes." Quaternary International 310 (October 2013): 242. http://dx.doi.org/10.1016/j.quaint.2013.07.111.

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24

Scheidegger, A. E. "Hazards: singularities in geomorphic systems." Geomorphology 10, no. 1-4 (August 1994): 19–25. http://dx.doi.org/10.1016/0169-555x(94)90005-1.

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25

Phillips, Jonathan D. "Sources of nonlinearity and complexity in geomorphic systems." Progress in Physical Geography: Earth and Environment 27, no. 1 (March 2003): 1–23. http://dx.doi.org/10.1191/0309133303pp340ra.

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Nonlinearity is common in geomorphology, though not present or relevant in every geomorphic problem. It is often ignored, sometimes to the detriment of understanding surface processes and landforms. Nonlinearity opens up possibilities for complex behavior that are not possible in linear systems, though not all nonlinear systems are complex. Complex nonlinear dynamics have been documented in a number of geomorphic systems, thus nonlinear complexity is a characteristic of real-world landscapes, not just models. In at least some cases complex nonlinear dynamics can be directly linked to specific
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26

Tarolli, Paolo, Wenfang Cao, Giulia Sofia, Damian Evans, and Erle C. Ellis. "From features to fingerprints: A general diagnostic framework for anthropogenic geomorphology." Progress in Physical Geography: Earth and Environment 43, no. 1 (February 2019): 95–128. http://dx.doi.org/10.1177/0309133318825284.

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Human societies have been reshaping the geomorphology of landscapes for thousands of years, producing anthropogenic geomorphic features ranging from earthworks and reservoirs to settlements, roads, canals, ditches and plough furrows that have distinct characteristics compared with landforms produced by natural processes. Physical geographers have long recognized the widespread importance of these features in altering landforms and geomorphic processes, including hydrologic flows and stores, to processes of soil erosion and deposition. In many of the same landscapes, archaeologists have also ut
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27

Xiang, Jie, Shi Li, Keyan Xiao, Jianping Chen, Giulia Sofia, and Paolo Tarolli. "Quantitative Analysis of Anthropogenic Morphologies Based on Multi-Temporal High-Resolution Topography." Remote Sensing 11, no. 12 (June 24, 2019): 1493. http://dx.doi.org/10.3390/rs11121493.

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Human activities have reshaped the geomorphology of landscapes and created vast anthropogenic geomorphic features, which have distinct characteristics compared with landforms produced by natural processes. High-resolution topography from LiDAR has opened avenues for the analysis of anthropogenic geomorphic signatures, providing new opportunities for a better understanding of Earth surface processes and landforms. However, quantitative identification and monitoring of such anthropogenic signature still represent a challenge for the Earth science community. The purpose of this contribution is to
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28

Zhao, Weidong, Guoan Tang, Lei Ma, Jitang Zhao, Wan Zhou, Jian Tian, and Xiaoli Huang. "Digital elevation model-based watershed geomorphic entropy for the study of landscape evolution of a watershed geomorphic system in the loess landforms of China." Progress in Physical Geography: Earth and Environment 41, no. 2 (October 24, 2016): 139–53. http://dx.doi.org/10.1177/0309133316669091.

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Although the concept of entropy in landscape evolution was proposed over 40 years ago, previous studies of geomorphic entropy paid little attention to the applications of geomorphic entropy in the erosional watershed geomorphic system on the Loess Plateau in China. Therefore, we propose a new concept of entropy called watershed geomorphic entropy (WGE) and its method of calculation based on a digital elevation model and the principles of system theory. To study the geomorphic significances of WGE, we applied the WGE to an artificial rainfall experiment that was originally designed to study ero
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29

Seldomridge, E. D., and K. L. Prestegaard. "Use of geomorphic, hydrologic, and nitrogen mass balance data to model ecosystem nitrate retention in tidal freshwater wetlands." Biogeosciences Discussions 9, no. 2 (February 1, 2012): 1407–37. http://dx.doi.org/10.5194/bgd-9-1407-2012.

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Abstract. Geomorphic characteristics have been used as scaling parameters to predict water and other fluxes in many systems. In this study, we combined geomorphic analysis with in-situ mass balance studies of nitrate retention (NR) to evaluate which geomorphic scaling parameters best predicted NR in a tidal freshwater wetland ecosystem. Geomorphic characteristics were measured for 267 individual marshes that constitute the freshwater tidal wetland ecosystem of the Patuxent River, Maryland. Nitrate retention was determined from mass balance measurements conducted at the inlets of marshes of var
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30

Seldomridge, E. D., and K. L. Prestegaard. "Use of geomorphic, hydrologic, and nitrogen mass balance data to model ecosystem nitrate retention in tidal freshwater wetlands." Biogeosciences 9, no. 7 (July 19, 2012): 2661–72. http://dx.doi.org/10.5194/bg-9-2661-2012.

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Abstract. Geomorphic characteristics have been used as scaling parameters to predict water and other fluxes in many systems. In this study, we combined geomorphic analysis with in-situ mass balance studies of nitrate retention (NR) to evaluate which geomorphic scaling parameters best predicted NR in a tidal freshwater wetland ecosystem. Geomorphic characteristics were measured for 267 individual marshes that constitute the freshwater tidal wetland ecosystem of the Patuxent River, Maryland. Nitrate retention was determined from mass balance measurements conducted at the inlets of marshes of var
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31

Dean, David J., and John C. Schmidt. "The geomorphic effectiveness of a large flood on the Rio Grande in the Big Bend region: Insights on geomorphic controls and post-flood geomorphic response." Geomorphology 201 (November 2013): 183–98. http://dx.doi.org/10.1016/j.geomorph.2013.06.020.

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32

Phillips, J. D. "Evolutionary geomorphology: thresholds and nonlinearity in landform response to environmental change." Hydrology and Earth System Sciences Discussions 3, no. 2 (April 4, 2006): 365–94. http://dx.doi.org/10.5194/hessd-3-365-2006.

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Abstract. Geomorphic systems are typically nonlinear, owing largely to their threshold-dominated nature (but due to other factors as well). Nonlinear geomorphic systems may exhibit complex behaviors not possible in linear systems, including dynamical instability and deterministic chaos. The latter are common in geomorphology, indicating that small, short-lived changes may produce disproportionately large and long-lived results; that evidence of geomorphic change may not reflect proportionally large external forcings; and that geomorphic systems may have multiple potential response trajectories
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33

Stoffel, M., and M. Bollschweiler. "Tree-ring analysis in natural hazards research – an overview." Natural Hazards and Earth System Sciences 8, no. 2 (March 11, 2008): 187–202. http://dx.doi.org/10.5194/nhess-8-187-2008.

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Abstract. The understanding of geomorphic processes and knowledge of past events are important tasks for the assessment of natural hazards. Tree rings have on varied occasions proved to be a reliable tool for the acquisition of data on past events. In this review paper, we provide an overview on the use of tree rings in natural hazards research, starting with a description of the different types of disturbances by geomorphic processes and the resulting growth reactions. Thereafter, a summary is presented on the different methods commonly used for the analysis and interpretation of reactions in
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34

Brierley, Gary, and Miloš Stankoviansky. "Geomorphic responses to land use change." CATENA 51, no. 3-4 (April 2003): 173–79. http://dx.doi.org/10.1016/s0341-8162(02)00163-7.

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35

Chaffin, Brian C., and Murray Scown. "Social-ecological resilience and geomorphic systems." Geomorphology 305 (March 2018): 221–30. http://dx.doi.org/10.1016/j.geomorph.2017.09.038.

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36

Birkeland, Peter W. "Soil-geomorphic research — a selective overview." Geomorphology 3, no. 3-4 (September 1990): 207–24. http://dx.doi.org/10.1016/0169-555x(90)90004-a.

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37

Phillips, Jonathan D. "Synchronization and scale in geomorphic systems." Geomorphology 137, no. 1 (January 2012): 150–58. http://dx.doi.org/10.1016/j.geomorph.2010.09.028.

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38

Davis, Lisa. "Spatial Patterns of Geomorphic Processes in Channelized Tributary Streams." Physical Geography 28, no. 4 (July 2007): 301–10. http://dx.doi.org/10.2747/0272-3646.28.4.301.

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39

Panin, Andrey V., and Maria A. Bronnikova. "Human dimensions of palaeoenvironmental change: Geomorphic processes and geoarchaeology." Quaternary International 324 (March 2014): 1–5. http://dx.doi.org/10.1016/s1040-6182(14)00125-6.

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40

Tarolli, Paolo, and Giulia Sofia. "Human topographic signatures and derived geomorphic processes across landscapes." Geomorphology 255 (February 2016): 140–61. http://dx.doi.org/10.1016/j.geomorph.2015.12.007.

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41

Brown, N. D. "Which geomorphic processes can be informed by luminescence measurements?" Geomorphology 367 (October 2020): 107296. http://dx.doi.org/10.1016/j.geomorph.2020.107296.

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42

Sugden, David E., Michael A. Summerfield, and Timothy P. Burt. "Editorial: Linking Short-term Geomorphic Processes to Landscape Evolution." Earth Surface Processes and Landforms 22, no. 3 (March 1997): 193–94. http://dx.doi.org/10.1002/(sici)1096-9837(199703)22:3<193::aid-esp747>3.0.co;2-9.

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43

Burtin, A., N. Hovius, B. W. McArdell, J. M. Turowski, and J. Vergne. "Seismic constraints on dynamic links between geomorphic processes and routing of sediment in a steep mountain catchment." Earth Surface Dynamics Discussions 1, no. 1 (November 15, 2013): 783–816. http://dx.doi.org/10.5194/esurfd-1-783-2013.

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Abstract. Landscape dynamics are determined by interactions amongst geomorphic processes. These interactions allow the effects of tectonic, climatic and seismic perturbations to propagate across topographic domains, and permit the impacts of geomorphic process events to radiate from their point of origin. Visual remote sensing and in situ observations do not fully resolve the spatiotemporal patterns of surface processes in a landscape. As a result, the mechanisms and scales of geomorphic connectivity are poorly understood. Because many surface processes emit seismic signals, seismology can det
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44

Burtin, A., N. Hovius, B. W. McArdell, J. M. Turowski, and J. Vergne. "Seismic constraints on dynamic links between geomorphic processes and routing of sediment in a steep mountain catchment." Earth Surface Dynamics 2, no. 1 (January 23, 2014): 21–33. http://dx.doi.org/10.5194/esurf-2-21-2014.

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Abstract. Landscape dynamics are determined by interactions amongst geomorphic processes. These interactions allow the effects of tectonic, climatic and seismic perturbations to propagate across topographic domains, and permit the impacts of geomorphic process events to radiate from their point of origin. Visual remote sensing and in situ observations do not fully resolve the spatiotemporal patterns of surface processes in a landscape. As a result, the mechanisms and scales of geomorphic connectivity are poorly understood. Because many surface processes emit seismic signals, seismology can det
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45

Miller, Jerry R., David Grow, and L. Scott Philyaw. "Influence of Historical Land-Use Change on Contemporary Channel Processes, Form, and Restoration." Geosciences 11, no. 10 (October 15, 2021): 423. http://dx.doi.org/10.3390/geosciences11100423.

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Big Harris Creek, North Carolina, possesses a geomorphic history similar to many drainages in the southern Appalachian piedmont, and was used herein as a representative example of the influence of European settlement on contemporary channel form and processes. The integrated use of historical, dendrogeomorphic, stratigraphic, and cartographic data shows that the conversion of land-cover from a mix of natural conditions and small farms to commercial cotton production in the late 1800s and early 1900s led to significant upland soil erosion, gully formation, and the deposition of legacy sediments
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46

Hergarten, S., J. Robl, and K. Stüwe. "Extracting topographic swath profiles across curved geomorphic features." Earth Surface Dynamics 2, no. 1 (January 29, 2014): 97–104. http://dx.doi.org/10.5194/esurf-2-97-2014.

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Abstract. We present a new method to extend the widely used geomorphic technique of swath profiles towards curved geomorphic structures such as river valleys. In contrast to the established method that hinges on stacking parallel cross sections, our approach does not refer to any individual profile lines, but uses the signed distance from a given baseline (for example, a valley floor) as the profile coordinate. The method can be implemented easily for arbitrary polygonal baselines and for rastered digital elevation models as well as for irregular point clouds such as laser scanner data. Furthe
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47

Butler, David R. "Geomorphic process-disturbance corridors: a variation on a principle of landscape ecology." Progress in Physical Geography: Earth and Environment 25, no. 2 (June 2001): 237–38. http://dx.doi.org/10.1177/030913330102500204.

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The paradigm of landscape ecology describes a landscape as a mosaic of landscape elements including the matrix, patches and corridors. Corridors are described as linear disruptions to the matrix, produced by anthropogenic actions or by streams which produce riparian corridors. Snow avalanches and debris flows are other geomorphic processes that should be considered as geomorphic process corridors rather than as disturbance patches. They possess requisite linearity, and they accomplish the five functions of a corridor: habitat, conduit, filter, source and sink. The definition of corridor in lan
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48

Medina-Valmaseda, Alexis Enrique, Paul Blanchon, Lorenzo Alvarez-Filip, and Esmeralda Pérez-Cervantes. "Geomorphically controlled coral distribution in degraded shallow reefs of the Western Caribbean." PeerJ 10 (March 14, 2022): e12590. http://dx.doi.org/10.7717/peerj.12590.

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The development of coral reefs results from the interaction between ecological and geological processes in space and time. Their difference in scale, however, makes it difficult to detect the impact of ecological changes on geological reef development. The decline of coral cover over the last 50 years, for example, has dramatically impaired the function of ecological processes on reefs. Yet given the limited-resolution of their Holocene record, it is uncertain how this will impact accretion and structural integrity over longer timescales. In addition, reports of this ecological decline have fo
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49

Lane, Belize A., Gregory B. Pasternack, Helen E. Dahlke, and Samuel Sandoval-Solis. "The role of topographic variability in river channel classification." Progress in Physical Geography: Earth and Environment 41, no. 5 (July 24, 2017): 570–600. http://dx.doi.org/10.1177/0309133317718133.

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To date, subreach-scale variations in flow width and bed elevation have rarely been included in channel classifications. Variability in topographic features of rivers, however, in conjunction with sediment supply and discharge produces a mosaic of channel forms that provides unique habitats for sensitive aquatic species. In this study we investigated the utility of topographic variability attributes (TVAs) in distinguishing channel types and dominant channel formation and maintenance processes in montane and lowland streams of the Sacramento River basin, California, USA. A stratified random su
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50

Thoms, M. C., H. Piégay, and M. Parsons. "What do you mean, ‘resilient geomorphic systems’?" Geomorphology 305 (March 2018): 8–19. http://dx.doi.org/10.1016/j.geomorph.2017.09.003.

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