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Vera Leatitia Mulder

Vera Leatitia Mulder


Agreenskills
session, year:
2013 2nd

Status:
Former fellow

Receiving laboratory:
Soil sciences research unit, Orléans

Country of origin:

Netherlands

Country of destination:

France

Mobility project

Determining the main controlling factors of subsoil organic carbon for modeling the subsoil carbon storage and its spatial distribution

The role of soils in carbon sequestration and emissions takes a key position in understanding global environmental change. Modeling these changes is necessary for mitigating climate change and requires up-to-date information of soil organic carbon (SOC) over vast areas. Recently, research focused on determining the controlling factors for topsoil SOC and modeling the spatial distribution at various scales. Unfortunately, the subsoil SOC reservoir is, currently, not well modeled.

Within this context, the research foci are (1) determining the controlling factors of SOC in relation to soil depth and, subsequently, spatial modeling of SOC in relation to soil depth for France.

Biography & research interests

I obtained a MSc in Soil Science at Wageningen University Research (WUR), specializing in Land Dynamics and a minor MSc degree in Geo-Information Science and Remote Sensing (2008). I completed my academic studies with an internship at the European Space Research Institute of the European Space Agency (ESA/ESRIN). Next, I obtained my PhD entitled: Spectroscopy-supported digital soil mapping at WUR, in close collaboration with the Remote Sensing Laboratory, Zurich University (2013). I am interested in the soil-landscape processes in relation to the spatial variability of various natural resources. In my PhD, I worked on spatial modelling of such processes and mapping natural resources on a regional scale, thereby, fully utilizing the use of remote and proximal sensing data combined with geostatistical methods. After finishing my PhD, I started working as postdoctoral researcher at the INRA Infosol unit and was awarded an AgreenSkills fellowship. The research focused on mapping the subsoil carbon storage of France, a part of the e-SOTER (2008-2012), GIS-Sol and projects. In 2015, I completed my AgreenSkills fellowship and started working as postdoctoral researcher at the Université Libre de Bruxelles, Belgium, on the effect of extreme climatic events on vegetation activity and soil functioning, at the European scale. Currently, I am working as assistant professor at the Soil Geography and Landscape group, Wageningen University. My research and teaching activities are related to soil and landscape variability, data collection, digital soil mapping and the use of sensor data for soil modelling and mapping with focus on soil carbon dynamics and climate change mitigation.

Selected publications

Minasny, B., ... Mulder, VL., … et al., 2017. Soil carbon 4 per mille. Geoderma, 292, 59-86.

Mulder, VL., Lacoste, M., Richer de Forges, A., Arrouays, D., 2016. GlobalSoilMap France: high-resolution spatial modelling the soils of France up to two meter depth. Science of the Total Environment, 573, 1352-1369.

Mulder, VL., Lacoste, M., Martin, M., Richer de Forges, A., Arrouays, D., 2016. National versus global modelling the 3D distribution of soil organic carbon in mainland France. Geoderma, 263, 16-34.

Mulder, VL., Lacoste, M., Martin, M., Richer de Forges, A., Arrouays, D., 2015. Understanding large-extent controls of soil organic carbon storage in relation to soil depth and soil- landscape systems. Global Biogeochemical Cycles, 29 (8), 1210-1229.

Mulder, VL., Plötze, M., de Bruin, S., Schaepman, M.E., Mavris, C., Kokaly, R., Egli, M, 2013. Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of SWIR spectra (2.1-2.4 µm) and regression tree analysis. Geoderma, 107-108, 279-290. (awarded as the best paper award 2013 by both Geoderma and the International Union of Soil Science (IUSS) Pedometrics Commission)

Awards & patents

IUSS Pedometrics “Best Paper Award” for 2014: Mulder, V.L., Plötze, M., de Bruin, S., Schaepman, M.E., Mavris, C., Kokaly, R., Egli, M., (2014). Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of SWIR spectra (2.1-2.4 µm) and regression tree analysis. Geoderma, (107-108), 279-290.

IUSS Pedometrics “Best Paper Award” for 2014 nomination: Mulder, V.L., de Bruin, S., Weyermann, J., Kokaly,R., Schaepman, M.E., (2013). Characterizing regional soil mineral composition using spectroscopy and geostatistics. Remote Sensing of Environment, (139), 415-429.

Geoderma “Best Paper Award” for 2014: Mulder, V.L., Plötze, M., de Bruin, S., Schaepman, M.E., Mavris, C., Kokaly, R., Egli, M., (2014). Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of SWIR spectra (2.1-2.4 µm) and regression tree analysis. Geoderma, (107-108), 279-290.

Keywords

soil organic carbon, French soil monitoring network, spatial distribution, covariate analysis, variogram analysis and kriging