Computing spatially distributed sediment delivery ratios: inferring functional sediment connectivity from repeat high‐resolution digital elevation models

Heckmann, Tobias; Vericat, Damià

doi:10.1002/esp.4334

Cited by 82 publications

(64 citation statements)

References 47 publications

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“…Or, if working the other way around, the large‐scale data can be made more detailed by using the small‐scaled data that is not a full cover map, but gives specific information that typifies the landscape. In the future, we have to conduct deeper research into how both scales can be combined, in order to describe more accurately the process of connectivity, which will enable better prediction of the functional connectivity processes, which conform surface landforms as equilibrium forms due to the interaction among the driving and resisting forces and are able to build a process‐based understanding (Jain et al ., ; Connecteur WG3 Think‐Tank Team et al ., ; Heckmann and Vericat, ).…”

Section: Discussionmentioning

confidence: 99%

Connectivity assessment in Mediterranean vineyards using improved stock unearthing method, LiDAR and soil erosion field surveys

Rodrigo‐Comino

Keesstra

Cerdà

2018

Earth Surf Processes Landf

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The interaction between processes and landforms is accelerated in vineyards due to bare tilled soils that enhance splash, runoff, and erosion. Traditionally, in order to assess these processes, the stock unearthing method (SUM) is considered a useful methodology that uses the graft union of the vine plant as passive bio-indicator of the topsoil level changes. However, SUM assumes that the topography between the rows is planar when development of a model of the current micro-topography is performed. Thus, we consider that there is a need to develop a new methodology (ISUM: improved SUM) that, by adding new measurements in the inter-row areas (at least 3), allows inclusion of the absent micro-topographical information of SUM. In this way, the main aim of this research was to estimate the micro-topographical changes and soil transport at three different slope positions (upper, middle and lower parts) in a 25-years-old vineyard in eastern Spain. LiDAR data were used to compare the connectivity processes at the catchment with the pedon scale. We obtained maps that showed topsoil level changes and detected soil depletion and accumulation signals. We estimated soil displacement rates of -1.6 Mg ha yr -1 (depletion), +2.8 Mg ha yr -1 and +13.3 Mg ha yr -1 (accumulation) at upper, middle and lower slope positions, respectively. The total average soil erosion rates in the inter-rows were -5.7 Mg ha -1 yr -1 . In the row areas, deposition of +10.5 Mg ha yr -1 was measured. Field erosion marks surveyed after each rainfall event gave insights to the connectivity at the inter-row and the slope scale. It was found that at the row scale there were sinks of sediments underneath the vines and sources in the inter-row parts, although they are the highest and lowest local topographical terrain, respectively. This is due to tillage erosion that redistributed the sediments. At the slope scale, the lower part of the slope collected sediments from the upper slope positions, which were transported along the middle part of the slope, as the measurement of ISUM and the field survey after intense rainfall events demonstrated. Connectivity of the flows along the whole slope were rare (twice), and along individual slope parts connectivity was found eight times, and 19 at the inter-row scale after 8 years of field observations.

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Section: Discussionmentioning

confidence: 99%

Connectivity assessment in Mediterranean vineyards using improved stock unearthing method, LiDAR and soil erosion field surveys

Rodrigo‐Comino

Keesstra

Cerdà

2018

Earth Surf Processes Landf

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“…In this framework, the main hypothesis of this paper is that the assessment of connectivity may elucidate unsolved geomorphic problems, especially regarding the interpretation of spatial and temporal paradoxes that may exist in sedimentary signals within catchments. Even if connectivity indices assess something for which we do not have any explicit measure, their theoretical development is required to go deeper in their interpretation (Heckmann & Vericat, ): the final aim being to integrate within models of erosion. From three study cases in various environmental regimes (high‐energy mountainous environment and agricultural lowland catchments), we (a) exhibit some misunderstood results in terms of sediment delivery and (b) develop various modeling procedures to test some hypothesis of interpretations.…”

Section: Introductionmentioning

confidence: 99%

How might sediment connectivity change in space and time?

et al. 2018

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Many authors focus on the concept of sediment connectivity to predict the sedimentary signal delivered at catchment outlets. In this framework, the sedimentary signal is seen as an emergent aggregation of local links and interactions. The challenge is then to open black boxes that remain within a sediment cascade, which requires both accurate geomorphic investigations in the field (reconstruction of sequences of geomorphic evolution and description of sediment routes) and the development of tools dedicated to the modeling of sediment cascades. On the basis of study cases in various environmental regimes (high‐energy mountainous environment and agricultural lowland catchments), in this paper, we (a) exhibit some spatial and temporal paradoxes in terms of sediment delivery and (b) develop various modeling procedures to test some hypothesis of interpretations. These modeling approaches explore different components of sediment connectivity at the catchment scale, including graph theory, agent‐based modeling, and differential equations. Each protocol is chosen according to the scientific objective and how the geomorphological system is simplified. Collectively, the results show that connectivity is an efficient conceptual framework with which to predict how a sediment cascade may transmit (or not) a perturbation throughout the system, including local perturbations (local sediment input, removal of a reservoir, etc.) and perturbations due to external‐boundary forces.

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“…functional connectivity), that will ultimately determine the frequency, distribution and magnitude of geomorphic processes (Bracken et al, 2015;Harvey, 2001;Wohl et al, 2018). Cavalli et al (2013) developed a raster-based Index of Connectivity (IC) that quantitatively assesses the spatial distribution of structural sediment connectivity, the potential of a landscape to be connected according to its attributes; while Heckmann and Vericat (2018) presented a method to infer on the functional sediment connectivity by the computing of spatially distributed sediment delivery ratios (SDR). Therefore, the approach presented here can be used to map main geomorphic process signatures and link these to the degree of connectivity to infer on source to sink trajectories at multiple spatial and temporal scales.…”

Section: Linking Processes Sediment Sources and Sinksmentioning

confidence: 99%

Geomorphic process signatures reshaping sub‐humid Mediterranean badlands: 1. Methodological development based on high‐resolution topography

Llena

Vericat

Smith

et al. 2020

Earth Surf Processes Landf

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High‐resolution topography data sets have improved the spatial and temporal scales at which we are able to investigate the landscape through the analysis of landform attributes and the computation of topographic changes. Yet, to date, there have been only limited attempts to infer key geomorphic processes in terms of contributions to shaping the landscape. Highly erodible landscapes such as badlands provide an ideal demonstration of such an approach owing to the rapid changes observed over a relatively short time frame. In this technical note we present the Mapping Geomorphic Processes in the Environment (MaGPiE): a new algorithm that allows mapping of geomorphic process signatures through analysis of repeat high‐resolution topography data sets. The method is demonstrated in an experimental badland located in the southern central Pyrenees. MaGPiE is a geographic information system (GIS)‐based algorithm that uses as input: (a) terrain attributes (i.e. Slope, Roughness and Concentrated Runoff Index) extracted from digital elevation models (DEMs), and (b) a map of topographic changes (DEM of difference, DoD). Initial results demonstrate that MaGPiE allows the magnitude and the spatial distribution of the main geomorphic processes reshaping badlands to be inferred for the first time. © 2020 John Wiley & Sons, Ltd.

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Computing spatially distributed sediment delivery ratios: inferring functional sediment connectivity from repeat high‐resolution digital elevation models

Cited by 82 publications

References 47 publications

Connectivity assessment in Mediterranean vineyards using improved stock unearthing method, LiDAR and soil erosion field surveys

Connectivity assessment in Mediterranean vineyards using improved stock unearthing method, LiDAR and soil erosion field surveys

How might sediment connectivity change in space and time?

Geomorphic process signatures reshaping sub‐humid Mediterranean badlands: 1. Methodological development based on high‐resolution topography

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