Comparison of conceptual landscape metrics to define hillslope-scale sediment delivery ratio

Vigiak, Olga; Borselli, L.; Newham, Lachlan; McInnes, J.; Roberts, Anna

doi:10.1016/j.geomorph.2011.08.026

Cited by 247 publications

(144 citation statements)

References 52 publications

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“…The model's default parameters for threshold flow accumulation (1000), Borselli k parameter (2), Borselli IC 0 parameter (0.5) and maximum SDR value (0.8) were used according to recommendations in the InVEST user manual (Tallis et al 2014) after Vigiak et al (2012). Finally, the model calculates a sediment retention index for each pixel based on land cover parameters of both the RUSLE and SDR functionality, which represents the avoided soil loss by the current land cover compared to bare soil.…”

Section: Modelling Sediment Erosionmentioning

confidence: 99%

The impact of land use/land cover scale on modelling urban ecosystem services

et al. 2016

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Context Urbanisation places increasing stress on ecosystem services; however existing methods and data for testing relationships between service delivery and urban landscapes remain imprecise and uncertain. Unknown impacts of scale are among several factors that complicate research. This study models ecosystem services in the urban area comprising the towns of Milton Keynes, Bedford and Luton which together represent a wide range of the urban forms present in the UK. Objectives The objectives of this study were to test (1) the sensitivity of ecosystem service model outputs to the spatial resolution of input data, and (2) whether any resultant scale dependency is constant across different ecosystem services and model approaches (e.g. stock-versus flow-based).Methods Carbon storage, sediment erosion, and pollination were modelled with the InVEST framework using input data representative of common coarse (25 m) and fine (5 m) spatial resolutions. Results Fine scale analysis generated higher estimates of total carbon storage (9.32 vs. 7.17 kg m -2 ) and much lower potential sediment erosion estimates (6.4 vs. 18.1 Mg km -2 year -1 ) than analyses conducted at coarser resolutions; however coarse-scale analysis estimated more abundant pollination service provision. Conclusions Scale sensitivities depend on the type of service being modelled; stock estimates (e.g. carbon storage) are most sensitive to aggregation across scales, dynamic flow models (e.g. sediment erosion) are most sensitive to spatial resolution, and ecological process models involving both stocks and dynamics (e.g. pollination) are sensitive to both. Care must be taken to select model data appropriate to the scale of inquiry.

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Section: Modelling Sediment Erosionmentioning

confidence: 99%

The impact of land use/land cover scale on modelling urban ecosystem services

et al. 2016

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“…The ability of the IC model to give an accurate measurement of the sediment connectivity was proved in several studies (e.g. Sougnez et al, 2011;Vigiak et al, 2012;Cavalli et al, 2013;D'Haen et al, 2013;Heckmann and Schwanghart, 2013;López-Vicente et al, 2013a). We hypothesize that the joint application of the two selected models will offer a more valuable information than the results obtained by the lonely application of each model.…”

Section: Introductionmentioning

confidence: 89%

Assessment of soil redistribution at catchment scale by coupling a soil erosion model and a sediment connectivity index (central spanish pre-pyrenees)

López‐Vicente

Quijano

Palazón

et al. 2015

CIG

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ABSTRACT. The study and quantification of soil redistribution is a complex and difficult task and even a non-solved question at catchment scale both in field and numerical simulation studies. In this study we tackle this topic by coupling two different predicting models and a sound field-based dataset to assess the potential soil redistribution in a Mediterranean rain-fed agricultural and mountainous catchment (La Reina gully catchment, Cinco Villas region, NE Spain): the enhanced Modified-RMMF-2014 version of the "Modified Revised Morgan, Morgan and Finney" model (Morgan, 2001;López-Vicente and Navas, 2010)

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“…Calculation of the IC requires knowledge of the characteristics of the drainage area and of the flow path. This approach is currently the most widely used around the world, including in Turkey (D'Haen et al, 2013), Japan (Chartin et al, 2017), Australia (Vigiak et al, 2012), Italy (Cavalli et al, 2016), Spain (López-Vicente et al, 2013aProsdocimi et al, 2017) and Mexico (Ortíz-Rodríguez et al, 2017).…”

Section: Index Of Hydrological Connectivitymentioning

confidence: 99%

Catchment based hydrology under post farmland abandonment scenarios

Lana-Renault

López‐Vicente

Nadal‐Romero

et al. 2018

CIG

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ABSTRACT. Vegetation expansion following farmland abandonment is a complex process that depends on multiple natural and human-induced factors, resulting in differences in the evolution of land cover on former cultivated fields, with various environmental implications. To assess the complexity of the hydrogeomorphological consequences of farmland abandonment, the Instituto Pirenaico de Ecología (CSIC) and the University of La P A P E R A C C E P T E D . P R E -P R I N T V E R S I O N

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Comparison of conceptual landscape metrics to define hillslope-scale sediment delivery ratio

Cited by 247 publications

References 52 publications

The impact of land use/land cover scale on modelling urban ecosystem services

The impact of land use/land cover scale on modelling urban ecosystem services

Assessment of soil redistribution at catchment scale by coupling a soil erosion model and a sediment connectivity index (central spanish pre-pyrenees)

Catchment based hydrology under post farmland abandonment scenarios

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