A network theory approach for a better understanding of overland flow connectivity

Masselink, Rens; Heckmann, Tobias; Temme, A.J.A.M.; Anders, Niels; Gooren, Harm; Keesstra, Saskia

doi:10.1002/hyp.10993

Cited by 88 publications

(49 citation statements)

References 78 publications

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“…Future research should compare the results from different slope positions (summit, shoulder, back-and footslope), different vine ages, different lithologies, before and after tilling or in plots with organic farming. The ISUM method assess the topography and then the connectivity of the flows such as Masselink et al (2017aMasselink et al ( ,2017b surveyed, and this information can be also applied at micro-catchments (Vaezi et al, 2017). Further purely methodological advancements can be made by increasing the number of measured points between the vine rows from 3 to 10 to create a more continuous topographical profile of the soil.…”

Section: Comparisonmentioning

confidence: 99%

Improving stock unearthing method to measure soil erosion rates in vineyards

Rodrigo‐Comino

Cerdà

2018

Ecological Indicators

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A B S T R A C TVineyard soils experience high erosion rates compared to soils from other agricultural land uses. The high soil losses in vineyards limits the sustainability of traditional production schemes and warrants comprehensive research aimed at thwarting the main erosion processes affecting vineyard systems. However, long-term measurements, which include spatial variability of soil erosion rates at the plot scale, are uncommon, as most of the measurements have taken place either at the hillslope or watershed scales. Against this background, the stock unearthing method (SUM) can be considered a useful methodology. However, the current method falls short because it assumes that the topography between the vine lines (inter-rows) remains planar. Therefore, we propose a new methodology (ISUM: improved stock unearthing method) that includes three measurements between in the inter-row areas. By taking inter-row measurements, we hypothesized that the spatial patterns of sediment detachment, transport and deposition features in the inter-rows would be detected. The ISUM costs 20% more time to conduct than the SUM, but greatly improved the utility of the field survey. ISUM allowed for: i) the creation of maps that identified linear soil erosion features and accumulation sites; ii) measures the amount of soil accumulated under the vines; iii) estimation of soil erosion rates with higher accuracy at long-term periods in a specific moment. This study compared the ISUM with the SUM in a vineyard in Spain. Soil erosion rates with ISUM were −2.5 Mg ha yr −1 while the SUM calculated rates of +4.9 Mg ha yr −1.Results showed that the traditional method underestimated soil rates a −25.7%. Maps created with the ISUM technique could also be used to provide insights about sediment connectivity.

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Section: Comparisonmentioning

confidence: 99%

Improving stock unearthing method to measure soil erosion rates in vineyards

Rodrigo‐Comino

Cerdà

2018

Ecological Indicators

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“…Daily hydrological, meteorological and sediment data is available for the period 2002-2015, for details on collection and devices please see Casalí et al (2008Casalí et al ( , 2010; Giménez et al (2012); Chahor et al (2014). Furthermore, a high-resolution (10 cm) digital terrain model of February 2015 was available for the interpretation of flow paths on the hillslope (Masselink et al, 2017). …”

Section: Study Area and Datamentioning

confidence: 99%

Assessing hillslope-channel connectivity in an agricultural catchment using rare-earth oxide tracers and random forests models

Masselink

Temme

Díaz

et al. 2017

CIG

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“…New methodological procedures from graph theory need to be developed, so we propose here a brief description of the state of the art of previous studies in which the influence of a spatial network structure on material or immaterial fluxes has been thoroughly explored using graph theory. Although such studies have focused on geography (Cole and King, 1968;Gleyze, 2008), social networks (Freeman, 1979) or, more recently, ecology (Ludwig et al, 2002;Belisle, 2005), they have developed metrics and discussed concepts particularly relevant to geomorphology: the relationship between connectivity and the total amount of fluxes passing through the system, and the identification of local hotspots where any change may have an impact on the whole system (Marra et al, 2014;FoufoulaGeorgiou, 2014, 2015;Masselink et al, 2017). In such studies, one key requirement is to provide a hierarchy of the influence of nodes within the network.…”

Section: Graph Theory Applications To Structural Connectivitymentioning

confidence: 99%

Assessment of structural sediment connectivity within catchments: insights from graph theory

Cossart

Fressard

2017

Earth Surf. Dynam.

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Abstract.To describe the sedimentary signal delivered at catchment outlets, many authors now refer to the concept of connectivity. In this framework, the sedimentary signal is seen as an emergent organization of local links and interactions. The challenge is thus to open the black boxes that remain within a sediment cascade, which requires both accurate geomorphic investigations in the field (reconstruction of sequences of geomorphic evolution, description of sediment pathways) and the development of tools dedicated to sediment cascade modeling. More precisely, the development of tools devoted to the study of connectivity in geomorphology is still in progress, although graph theory offers promising perspectives (Heckmann and Schwanghart, 2013). In this paper, graph theory is applied to abstract the network structure of sediment cascades, keeping only the nodes (sediment sources, sediment stores, outlet) and links (linkage by a transportation agent), represented as vertices and edges. From the description of the assemblages of sedimentary flows, we provide three main indices to explore how small-scale processes may result in significant broad-scale geomorphic patterns. The main hypothesis guiding this work is that the network structure dictates how sediment inputs from various sources interact at tributary junctions and finally at the outlet of a cascading system. First, we use the flow index to assess the potential contribution of each node to the sediment delivery at the outlet. Second, we measure the influence of each node regarding how it is accessible from both sediment sources and the outlet (using the Shimbel index). Third, we propose a new connectivity index named "Network Structural Connectivity index" (NSC) revealing whether the potential contribution of a node is lower or higher than expected from its location within the network. These indices are first computed for a conceptual sediment cascade network and then applied to a catchment located in the southern French Alps. We demonstrate that this index may be used to simulate sediment transfer and help in identifying the hotspots of geomorphic change. In the present case, we try to predict how a sediment cascade may be impacted by an edge disruption or a reconnection.

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A network theory approach for a better understanding of overland flow connectivity

Cited by 88 publications

References 78 publications

Improving stock unearthing method to measure soil erosion rates in vineyards

Improving stock unearthing method to measure soil erosion rates in vineyards

Assessing hillslope-channel connectivity in an agricultural catchment using rare-earth oxide tracers and random forests models

Assessment of structural sediment connectivity within catchments: insights from graph theory

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