Publications in Journals

Peer review Papers published in International Journals and Magazines.

Publications in Journals include more than 280 published papers from the Soil Group in the JRC. Most of the papers refer to the last 7 years (2013-2020). An important number of papers has been published in high impact factor journals: Nature, Nature Climate Change, Nature Communications, Science Advances, Science, PNAS, Global Change Biology, Science of the Total Environment, etc.

The publications are relevant to soil themes, functions and threats. The datasets generated during and/or analysed during most of the presented studies are available in the ESDAC datasets section. Almost all the publications are Open Access. 

You can browse in the publications by year and you can download them (A hyperlink is provided per each publication).

 

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Displaying 276 - 283 of 283 | Show 25 | 50 | All results per page.
Effects of Soil-Surface Microbial Community Phenotype upon Physical and Hydrological Properties of an Arable Soil: A Microcosm Study
Resource Type: Documents, Publications in Journals, Maps & Documents
Year: 2010
The nature of the first few millimetres of the soil surface strongly affects water infiltration rates, generation of run‐off, soil detachment and sediment transport. We hypothesized that the phenotypic community structure of the soil‐surface microbiota affects the physical and hydrological properties of an arable soil. A range of contrasting microbial community phenotypes were established in microcosms by manipulating the wavelength of light reaching the soil surface, with the microcosms being incubated in the field for approximately 6 months. Phenotypes were characterized by phospholipid fatty acid (PLFA), ergosterol and chlorophyll analysis. The microcosms were then subjected to simulated rainfall at an intensity of 60 mm hour−1 for 20 minutes at a slope gradient of 9°. Water infiltration rates, run‐off generation, soil loss (including a particle‐size analysis of the sediment) and soil‐surface shear strength were quantified.
 
Distinct microbial phenotypes developed on the soil surfaces with UV‐A and restricted‐UV treatments when compared with subsurface layers. There was significantly greater fungal biomass in the no‐light treatment when compared with all other treatments, with approximately 4.5 times more ergosterol being extracted from the subsurface layer of the no‐light treatment when compared with other treatments. The no‐light treatment produced the greatest amount of run‐off, which was approximately 15% greater than the restricted photosynthetically‐active radiation (PAR) treatment. Significant differences between treatments were also found in shear strengths, with increasing strength being correlated with increasing ergosterol concentration. Water infiltration, erosion and the sediment concentrations in run‐off were not significantly different between treatments. This work demonstrates that the quality of light reaching the soil surface affects the microbial phenotype, in turn producing functional consequences with regard to the physical and hydrological properties of arable soil surfaces.

https://onlinelibrary.wiley.com/doi/full/10.1111/j.1365-2389.2010.01249.x

Estimating forest soil bulk density using boosted regression modelling
Resource Type: Documents, Publications in Journals, Maps & Documents
Year: 2010

Soil bulk density (ρ) is an important physical property, but its measurement is frequently lacking in soil surveys due to the time‐consuming nature of making the measurement. As a result pedotransfer functions (PTFs) have been developed to predict ρ from other more easily available soil properties. These functions are generally derived from regression methods that aim to fit a single model. In this study, we use a technique called Generalized Boosted Regression Modelling (GBM; Ridgeway, 2006) which combines two algorithms: regression trees and boosting. We built two models and compared their predictive performance with published PTFs. All the functions were fitted based on the French forest soil dataset for the European demonstration Biosoil project. The two GBM models were Model G3 which involved the three most frequent quantitative predictors used to estimate soil bulk density (organic carbon, clay and silt), and Model G10, which included ten qualitative and quantitative input variables such as parent material or tree species. Based on the full dataset, Models G3 and G10 gave R2 values of 0.45 and 0.86, respectively. Model G3 did not significantly outperform the best published model. Even when fitted from an external dataset, it explained only 29% of the variation of ρ with a root mean square error of 0.244 g/cm3. In contrast, the more complex Model G10 outperformed the other models during external validation, with a R2 of 0.67 and a predictive deviation of ±0.168 g/cm3. The variation in forest soil bulk densities was mainly explained by five input variables: organic carbon content, tree species, the coarse fragment content, parent material and sampling depth.

https://onlinelibrary.wiley.com/doi/full/10.1111/j.1475-2743.2010.00305.x

Basin characteristics and nutrient losses: The EUROHARP catchment network perspective
Resource Type: Documents, Publications in Journals, Maps & Documents
Year: 2009
The EC-funded EUROHARP project studies the harmonisation of modelling tools to quantify nutrient losses from diffuse sources. This paper describes a set of study areas used in the project from geographical conditions, to land use and land management, geological and hydro-geological perspectives. The status of data availability throughout Europe in relation to the modelling requirements is presented. The relationships between the catchment characteristics and the nutrient export are investigated, using simple data available for all the catchments. In addition, this study also analyses the hydrological representativity of the time series utilised in the EUROHARP project.
 

https://pubs.rsc.org/en/content/articlelanding/2009/EM/b822931g

Soil organic carbon content indicators and web mapping applications.
Resource Type: Maps & Documents, Documents, Publications in Journals
Year: 2008

Soil organic carbon content indicators and web mapping applications. Panagos, P., Van Liedekerke, M., Montanarella, L. and Jones, R.A (2008). ENVIRONMENTAL MODELLING & SOFTWARE, Elsevier LTD, Volume 23· Issue 9: pp 1207-1209, DOI: 10.1016/j.envsoft.2008.02.010. Distributing geographic information via the Internet allows interoperability with similar information and real-time integration of data from around the world. The software developed allows the users to exchange, integrate, and analyze data in new ways. Users can combine various environmental indicators (Organic carbon con-tent) and information accessed via the Internet with their local data for display, query, and analysis. In order to guarantee interoperability, the developed services are based on international standards, as promoted by the INSPIRE initiative. Keywords: Web mapping services; Organic carbon; Environmental indicators; Interoperability; INSPIRE; European soil database. Access the paper

Northern Peatlands: their characteristics, development and sensitivity to climate change
Resource Type: Maps & Documents, Documents, Publications in Journals
Year: 2006

Northern Peatlands: their characteristics, development and sensitivity to climate change C. Tarnocai and V. Stolbovoy In the past two decades there has been considerable work on global climatic change and its effect on the ecosphere, as well as on local and global environmental changes triggered by human activities. Download the Introduction or contact the Author V. Stolbovoy for more information Full Access to the research paper: Elsevier Publisher, Petlands - Evolution and Records of Environmental and Climate Changes. (35 pp)

The distribution of peatland in Europe
Resource Type: Maps & Documents, Documents, Publications in Journals
Year: 2006

The distribution of peatland in Europe

L. Montanarella(1), R.J.A. Jones (2) and R. Hiederer (1) 

(1) Joint Research Centre of the European Commission, Institute for Environment and Sustainability, I-21020 Ispra (VA) - Italy,

(2) National Soil Resources Institute, Cranfield University, Silsoe, Bedford MK45 4DT, UK. © 2006 Published by Mires and Peat.

This paper derives the distribution of peatland in Europe as the extent of peat and peat-topped soils indicated by soil databases. 

Modeling sediment yields in Italian catchments
Resource Type: Maps & Documents, Documents, Publications in Journals
Year: 2005

Modeling sediment yields in Italian catchments VAN ROMPAEY, A.J.J., BAZZOFFI, P., JONES, R.J.A. and MONTANARELLA, L.(2005). Modeling sediment yields in Italian catchments. Geomorphology 65 (2005) 157-169. Sediment yield observations, derived from 40 long-term sedimentation records in Italian reservoirs, were used to calibrate and validate the spatially distributed sediment delivery model WaTEM/SEDEM using the best data available at national scale Keywords: Sediment yield; Soil erosion; Reservoirs; Italy Look for the research paper: Elsevier Publisher
https://www.sciencedirect.com/science/article/pii/S0169555X04001710

Variability in regional wheat yields as a function of climate, soil and economic variables: Assessing the risk of confounding.
Resource Type: Maps & Documents, Documents, Publications in Journals
Year: 2005

Variability in regional wheat yields as a function of climate, soil and economic variables: Assessing the risk of confounding. BAKKER, M.M., GOVERS, G., Ewart, F., Roundsevell, Mark and JONES, Robert. (2005). Variability in regional wheat yields as a function of climate, soil and economic variables: Assessing the risk of confounding. Agriculture, Ecosystems & Environment, 110 (3-4), 195-209. Keywords: Wheat yields; Productivity; Climate; Soils; Economics; Regression analysis Look for the research paper: Elsevier Publisher