A map of the topsoil organic carbon content of Europe generated by a generalized additive model

Brogniez, Delphine de; Ballabio, Cristiano; Stevens, Antoine; Jones, Robert J. A.; Montanarella, Luca; Wesemael, Bas van

doi:10.1111/ejss.12193

Cited by 177 publications

(88 citation statements)

References 37 publications

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“…Mean elevation upstream sampling point derived from digital elevation model was used as a surrogate for topography. Soil texture (silt, clay and sand content) derived from the LUCAS database (Ballabio et al 2016) and organic carbon content in topsoil (de Brogniez et al 2015) was used as a surrogate for soil properties. We found a strong collinearity between land cover, soil properties and topography (Supplementary Fig.…”

Section: Discussionmentioning

confidence: 99%

Effects of human land use on the terrestrial and aquatic sources of fluvial organic matter in a temperate river basin (The Meuse River, Belgium)

et al. 2017

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The impact of human activities on the concentrations and composition of dissolved organic matter (DOM) and particulate organic matter (POM) was investigated in the Walloon Region of the Meuse River basin (Belgium). Water samples were collected at different hydrological periods along a gradient of human disturbance (50 sampling sites ranging from 8.0 to 20,407 km 2 ) and during a 1.5 year monitoring of the Meuse River at the city of Liège. This dataset was completed by the characterization of the DOM pool in groundwaters. The composition of DOM and POM was investigated through elemental (C:N ratios), isotopic (d 13 C) and optical measurements including excitation emission matrix fluorescence with parallel factor analysis (EEM-PARAFAC). Land use was a major driver on fluvial OM composition at the regional scale of the Meuse Basin, the composition of both fluvial DOM and POM pools showing a shift toward a more microbial/algal and less plant/soil-derived character as human disturbance increased. The comparison of DOM composition between surface and groundwaters demonstrated that this pattern can be attributed in part to the transformation of terrestrial sources by agricultural practices that promote the decomposition of soil organic matter in agricultural lands and subsequent microbial inputs in terrestrial sources. In parallel, human land had contrasting effects on the autochthonous production of DOM and POM. While the in-stream generation of fresh DOM through biological activity was promoted in urban areas, summer autochthonous POM production was not influenced by land use. Finally, soil erosion by agricultural management practices favored the transfer of terrestrial organic matter via the particulate phase. Stable isotope data suggest that the hydrological transfer of terrestrial DOM and POM in humanimpacted catchment are not subject to the same controls, and that physical exchange between these two pools of organic matter is limited.

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Section: Discussionmentioning

confidence: 99%

Effects of human land use on the terrestrial and aquatic sources of fluvial organic matter in a temperate river basin (The Meuse River, Belgium)

et al. 2017

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“…9. Organic matter decline: map of topsoil organic carbon content of Europe, from the European Soil LUCAS (de Brogniez et al, 2015). The output is a continuous numerical map with range [0-1] 10.…”

Section: Assessment Of Spatial Distribution Of Threatsmentioning

confidence: 99%

A knowledge-based approach to estimating the magnitude and spatial patterns of potential threats to soil biodiversity

Orgiazzi

Panagos

Yiğini

et al. 2016

Science of The Total Environment

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Because of the increasing pressures exerted on soil, below-ground life is under threat. Knowledge-based rankings of potential threats to different components of soil biodiversity were developed in order to assess the spatial distribution of threats on a European scale. A list of 13 potential threats to soil biodiversity was proposed to experts with different backgrounds in order to assess the potential for three major components of soil biodiversity: soil microorganisms, fauna, and biological functions. This approach allowed us to obtain knowledge-based rankings of threats. These classifications formed the basis for the development of indices through an additive aggregation model that, along with ad-hoc proxies for each pressure, allowed us to preliminarily assess the spatial patterns of potential threats. Intensive exploitation was identified as the highest pressure. In contrast, the use of genetically modified organisms in agriculture was considered as the threat with least potential. The potential impact of climate change showed the highest uncertainty. Fourteen out of the 27 considered countries have more than 40% of their soils with moderate-high to high potential risk for all three components of soil biodiversity. Arable soils are the most exposed to pressures. Soils within the boreal biogeographic region showed the lowest risk potential. The majority of soils at risk are outside the boundaries of protected areas. First maps of risks to three components of soil biodiversity based on the current scientific knowledge were developed. Despite the intrinsic limits of knowledge-based assessments, a remarkable potential risk to soil biodiversity was observed. Guidelines to preliminarily identify and circumscribe soils potentially at risk are provided. This approach may be used in future research to assess threat at both local and global scale and identify areas of possible risk and, subsequently, design appropriate strategies for monitoring and protection of soil biota.

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“…Next, a backward stepwise procedure was applied to select the appropriate covariates, where each of the covariates was sequentially removed from the full model (Poggio et al, 2013;de Brogniez et al, 2015). The difference ( AIC) between AIC values (Akaike's information criterion; Akaike, 1974) was calculated for the "full model" and compared with AIC values obtained when removing sequentially each of the covariates from the model in order to evaluate the influence of each covariate on the overall capabilities of model prediction.…”

Section: R Factor Spatial Interpolationmentioning

confidence: 99%

Rainfall erosivity in catchments contaminated with fallout from the Fukushima Daiichi nuclear power plant accident

Laceby

Chartin

Evrard

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. The Fukushima Daiichi nuclear power plant (FD-NPP) accident in March 2011 resulted in the fallout of significant quantities of radiocesium over the Fukushima region. After reaching the soil surface, radiocesium is quickly bound to fine soil particles. Thereafter, rainfall and snowmelt run-off events transfer particle-bound radiocesium downstream. Characterizing the precipitation regime of the fallout-impacted region is thus important for understanding post-deposition radiocesium dynamics. Accordingly, 10 min (1995Accordingly, 10 min ( -2015 and daily precipitation data from 42 meteorological stations within a 100 km radius of the FDNPP were analyzed. Monthly rainfall erosivity maps were developed to depict the spatial heterogeneity of rainfall erosivity for catchments entirely contained within this radius. The mean average precipitation in the region surrounding the FDNPP is 1420 mm yr −1 (SD 235) with a mean rainfall erosivity of 3696 MJ mm ha −1 h −1 yr −1 (SD 1327). Tropical cyclones contribute 22 % of the precipitation (422 mm yr −1 ) and 40 % of the rainfall erosivity (1462 MJ mm ha −1 h −1 yr −1 (SD 637)). The majority of precipitation (60 %) and rainfall erosivity (82 %) occurs between June and October. At a regional scale, rainfall erosivity increases from the north to the south during July and August, the most erosive months. For the remainder of the year, this gradient occurs mostly from northwest to southeast. Relief features strongly influence the spatial distribution of rainfall erosivity at a smaller scale, with the coastal plains and coastal mountain range having greater rainfall erosivity than the inland Abukuma River valley. Understanding these patterns, particularly their spatial and temporal (both inter-and intraannual) variation, is important for contextualizing soil and particle-bound radiocesium transfers in the Fukushima region. Moreover, understanding the impact of tropical cyclones will be important for managing sediment and sediment-bound contaminant transfers in regions impacted by these events.

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A map of the topsoil organic carbon content of Europe generated by a generalized additive model

Cited by 177 publications

References 37 publications

Effects of human land use on the terrestrial and aquatic sources of fluvial organic matter in a temperate river basin (The Meuse River, Belgium)

Effects of human land use on the terrestrial and aquatic sources of fluvial organic matter in a temperate river basin (The Meuse River, Belgium)

A knowledge-based approach to estimating the magnitude and spatial patterns of potential threats to soil biodiversity

Rainfall erosivity in catchments contaminated with fallout from the Fukushima Daiichi nuclear power plant accident

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