A Short Presentation of Metronamica

Delden, Hedwig van; Vanhout, Roel

doi:10.1007/978-3-319-60801-3_38

Cited by 8 publications

(8 citation statements)

References 17 publications

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“…In this study, the Metronamica and PESERA models were used (Figure 2). Metronamica is a land use model (van Delden & Vanhout, 2018), which is used in this study to build a detailed crop distribution and pattern map based on land use maps and statistical data. The PESERA model (Kirkby et al, 2008), subsequently uses the land use and crop distribution map, combined with datasets of climate data, topographic data and soil property data, to spatially simulate soil erosion, SOC and AGB.…”

Section: Methodsmentioning

confidence: 99%

“…The approach uses statistical data to come to area demand of crop (rotation) types (Sections 2.3.1-2.3.3), which are subsequently allocated to a local grid using spatially explicit data and the Metronamica model (Section 2.3.4). It builds on previous work developing a detailed crop map for Madagascar (Fleskens et al, 2020) and Europe (Van Delden et al, 2021).…”

Section: Metronamica Model For Crop Map Developmentmentioning

confidence: 99%

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Quantifying aboveground biomass, soil organic carbon and erosion with a detailed crop map and PESERA model in the Yangtze River Basin

Zhou,

Baartman,

Ning

et al. 2024

European J Soil Science

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Soil erosion represents a primary threat to soil systems with adverse implications for ecosystem services, crop production, potable water and carbon storage. While numerous studies have quantified the spatial distribution of aboveground Biomass (AGB), soil erosion and soil organic carbon (SOC) in the Yangtze River Basin (YRB), limited attention has been given to assessing the contributions of different land use types and especially crop types to AGB, soil erosion and SOC. In most studies, cropland is taken as a land use class, while detailed crop types and rotation patterns, and their effect on soil erosion and SOC, vary significantly. In this study, we used the Metronamica model to generate a detailed crop rotation and distribution map across the YRB and subsequently employed the Pan‐European Soil Erosion Risk Assessment (PESERA) model to simulate the spatial distribution of AGB, soil erosion and SOC on a monthly basis. PESERA model simulations indicate an average soil erosion rate across the entire YRB of 7.7 ton/ha/yr, with erosion hotspots concentrated in the Sichuan Basin and the central‐southern regions. The southwestern region and western Sichuan show elevated levels of AGB and SOC, while the eastern plains display lower levels. Erosion rates are lowest in areas designated as artificial land, pasture and grassland, whereas croplands and fruit tree plantations experience the highest erosion rates. In terms of crop types, the highest erosion rates and lowest AGB are observed under fallow and potato cultivation, while the lowest erosion rates and highest AGB are found in rice‐wheat rotation fields. To the best of our knowledge, this is the first study taking detailed crop types and patterns into account while evaluating their effect at a relatively large scale (i.e., YRB). These findings can help to develop sustainable soil management and (cropping) conservation strategies.

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Section: Methodsmentioning

confidence: 99%

Section: Metronamica Model For Crop Map Developmentmentioning

confidence: 99%

Quantifying aboveground biomass, soil organic carbon and erosion with a detailed crop map and PESERA model in the Yangtze River Basin

Zhou,

Baartman,

Ning

et al. 2024

European J Soil Science

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“…We compared four standard LUCC model software packages: CA_Markov (Eastman and Toledano 2018a), Dinamica EGO (Soares-Filho et al 2002, 2009Rodrigues and Soares-Filho 2018), Land Change Modeler (Eastman 2015;Eastman and Toledano 2018b) and Metronamica (RIKS 2012;Van Delden and Vanhout 2018). They are a good representation of LUCC modelling software commonly employed in literature (Santé et al 2010;Kamusoko 2012;Eastman and Toledano 2018b;Ferreira et al 2019).…”

Section: Model Software Packagesmentioning

confidence: 99%

Structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages. A comparison

García-Álvarez¹,

Olmedo²,

Delden³

et al. 2022

Preprint

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Research on the uncertainty of Land Use Cover Change (LUCC) models is still limited. Through this paper, we aim to globally characterize the structural uncertainty of four common software packages (CA_Markov, Dinamica EGO, Land Change Modeler, Metronamica) and analyse the options that they offer for uncertainty management.The models have been compared qualitatively, based on their structures and tools, and quantitatively, through a study case for the city of Cape Town. Results proved how each model conceptualised the modelled system in a different way, which led to different outputs. Statistical or automatic approaches did not prove to be more successful that user-driven approaches. The available options for uncertainty management vary depending on the model. No model pays enough attention to the communication of uncertainties.

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“…One exercise for each pair of input maps (CORINE and SIOSE) was calibrated for the period 2005-2011 following the standard calibration procedure of Metronamica (Hewitt et al 2014;Van Delden et al 2018). Location agreement was tested through Kappa indices and pattern agreement by means of two spatial metrics (clumpiness and fractal dimension).…”

Section: Model Calibrationmentioning

confidence: 99%

Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps

García-Álvarez

Olmedo

Paegelow

2019

Computers, Environment and Urban Systems

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A Short Presentation of Metronamica

Cited by 8 publications

References 17 publications

Quantifying aboveground biomass, soil organic carbon and erosion with a detailed crop map and PESERA model in the Yangtze River Basin

Quantifying aboveground biomass, soil organic carbon and erosion with a detailed crop map and PESERA model in the Yangtze River Basin

Structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages. A comparison

Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps

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