Predicting soil erosion with RUSLE in mediterranean agricultural systems at catchment scale

Accurate assessment of soil loss is essential for sustainable agricultural production, management and conservation planning, especially in productive rain-fed agro-ecosystems and protected areas. The European Union considers soil as a non-renewable resource and identifies that soil degradation has strong impacts on soil and water resources. In this work the Revised Universal Soil Loss Equation model was applied within a geographic information system in the Estaña catchment (Spanish Pre-Pyrenees) as representative of a Mediterranean agro-ecosystem to elaborate a map of soil erosion at high spatial resolution (5 x 5 m of cell size). The soil erodibility factor (K) is calculated from three different approaches to evaluate the importance of spatial variations in soil texture, field infiltration measurements (Kfs) and amount of coarse fragments. The average value of estimated soil loss for the whole study area is 2.3 Mg ha-1 yr-1 and the highest rates are estimated in crops in steep areas (5.8 Mg ha-1 yr-1) and trails (18.7 Mg ha-1 yr-1). Cultivated soils with high soil erosion rates (higher than 8 Mg ha-1 yr-1) represent 20% of the cultivated area. The average value of soil loss in areas with human disturbances (4.21 Mg ha-1 yr-1) is 4.4 times higher than that estimated for areas with natural vegetation (0.96 Mg ha-1 yr-1). Field validation with 137Cs shows that the estimated value of soil loss in barley fields with the K-Kfs-rocks factor improves the model predictions in comparison with those obtained with the K-texture and K-Kfs factors. The RUSLE model predicts a decrease in soil erosion in fields in accordance with the increase of the age of abandonment. Predicted values of soil erosion and measured soil organic matter and stoniness in old abandoned fields agree with those in areas of natural forest and indicate the recovery of the original conditions of the soil. Statistical analysis highlights that the C factor contributes most of the variability of the values of predicted soil erosion, the K and LS factors contribute in a similar way and the P factor contributes least to the variability of soil erosion. Cultivated soils developed over clay materials in high slope areas are the most susceptible to soil degradation processes in comparison with soils developed over limestones in gentle and medium slope areas. The recovery of terraces in steep fields and conservation of crop residues are proposed as soil conservation practices to reduce the magnitude of soil loss in the study area.This research was financially supported by the following project: “Soil erosion and carbon dynamic in Mediterranean agroecosystems: radioisotopic modelling at different spatial and temporal scales” (MEDEROCAR, CGL2008-00831/BTE) funded by the Spanish Ministry of Science and Innovation.Peer reviewe

A Cl- cotransporter selective for NH4+ over K+ in glial cells of bee retina

There appears to be a flux of ammonium (NH4+/NH3) from neurons to glial cells in most nervous tissues. In bee retinal glial cells, NH4+/NH3 uptake is at least partly by chloride-dependant transport of the ionic form NH4+. Transmembrane transport of NH4+ has been described previously on transporters on which NH4+ replaces K+, or, more rarely, Na+ or H+, but no transport system in animal cells has been shown to be selective for NH4+ over these other ions. To see if the NH4+-Cl− cotransporter on bee retinal glial cells is selective for NH4+ over K+ we measured ammonium-induced changes in intracellular pH (pHi) in isolated bundles of glial cells using a fluorescent indicator. These changes in pHi result from transmembrane fluxes not only of NH4+, but also of NH3. To estimate transmembrane fluxes of NH4+, it was necessary to measure several parameters. Intracellular pH buffering power was found to be 12 mM. Regulatory mechanisms tended to restore intracellular [H+] after its displacement with a time constant of 3 min. Membrane permeability to NH3 was 13 μm s−1. A numerical model was used to deduce the NH4+ flux through the transporter that would account for the pHi changes induced by a 30-s application of ammonium. This flux saturated with increasing [NH4+]o; the relation was fitted with a Michaelis-Menten equation with Km ≈ 7 mM. The inhibition of NH4+ flux by extracellular K+ appeared to be competitive, with an apparent Ki of ∼15 mM. A simple standard model of the transport process satisfactorily described the pHi changes caused by various experimental manipulations when the transporter bound NH4+ with greater affinity than K+. We conclude that this transporter is functionally selective for NH4+ over K+ and that the transporter molecule probably has a greater affinity for NH4+ than for K+

The First 30 Years of GEWEX

The Global Energy and Water Cycle Exchanges (GEWEX) project was created more than 30 years ago within the framework of the World Climate Research Programme (WCRP). The aim of this initiative was to address major gaps in our understanding of Earth's energy and water cycles given a lack of information about the basic fluxes and associated reservoirs of these cycles. GEWEX sought to acquire and set standards for climatological data on variables essential for quantifying water and energy fluxes and for closing budgets at the regional and global scales. In so doing, GEWEX activities led to a greatly improved understanding of processes and our ability to predict them. Such understanding was viewed then, as it remains today, essential for advancing weather and climate prediction from global to regional scales. GEWEX has also demonstrated over time the importance of a wider engagement of different communities and the necessity of international collaboration for making progress on understanding and on the monitoring of the changes in the energy and water cycles under ever increasing human pressures. This paper reflects on the first 30 years of evolution and progress that has occurred within GEWEX. This evolution is presented in terms of three main phases of activity. Progress toward the main goals of GEWEX is highlighted by calling out a few achievements from each phase. A vision of the path forward for the coming decade, including the goals of GEWEX for the future, are also described.</p

The First 30 years of GEWEX

International audienceAbstract The Global Energy and Water Cycle EXchanges (GEWEX) project was created more than thirty years ago within the framework of the World Climate Research Programme (WCRP). The aim of this initiative was to address major gaps in our understanding of Earth’s energy and water cycles given a lack of information about the basic fluxes and associated reservoirs of these cycles. GEWEX sought to acquire and set standards for climatological data on variables essential for quantifying water and energy fluxes and for closing budgets at the regional and global scales. In so doing, GEWEX activities led to a greatly improved understanding of processes and our ability to predict them. Such understanding was viewed then, as it remains today, essential for advancing weather and climate prediction from global to regional scales. GEWEX has also demonstrated over time the importance of a wider engagement of different communities and the necessity of international collaboration for making progress on understanding and on the monitoring of the changes in the energy and water cycles under ever increasing human pressures. This paper reflects on the first 30 years of evolution and progress that has occurred within GEWEX. This evolution is presented in terms of three main phases of activity. Progress toward the main goals of GEWEX is highlighted by calling out a few achievements from each phase. A vision of the path forward for the coming decade, including the goals of GEWEX for the future, are also described

A method for studying decision-making by guideline development groups

Background: Multidisciplinary guideline development groups (GDGs) have considerable influence on UK healthcare policy and practice, but previous research suggests that research evidence is a variable influence on GDG recommendations. The Evidence into Recommendations (EiR) study has been set up to document social-psychological influences on GDG decision-making. In this paper we aim to evaluate the relevance of existing qualitative methodologies to the EiR study, and to develop a method best-suited to capturing influences on GDG decision-making.Methods: A research team comprised of three postdoctoral research fellows and a multidisciplinary steering group assessed the utility of extant qualitative methodologies for coding verbatim GDG meeting transcripts and semi-structured interviews with GDG members. A unique configuration of techniques was developed to permit data reduction and analysis.Results: Our method incorporates techniques from thematic analysis, grounded theory analysis, content analysis, and framework analysis. Thematic analysis of individual interviews conducted with group members at the start and end of the GDG process defines discrete problem areas to guide data extraction from GDG meeting transcripts. Data excerpts are coded both inductively and deductively, using concepts taken from theories of decision-making, social influence and group processes. These codes inform a framework analysis to describe and explain incidents within GDG meetings. We illustrate the application of the method by discussing some preliminary findings of a study of a National Institute for Health and Clinical Excellence (NICE) acute physical health GDG.Conclusion: This method is currently being applied to study the meetings of three of NICE GDGs. These cover topics in acute physical health, mental health and public health, and comprise a total of 45 full-day meetings. The method offers potential for application to other health care and decision-making groups

An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge

There is tremendous potential for genome sequencing to improve clinical diagnosis and care once it becomes routinely accessible, but this will require formalizing research methods into clinical best practices in the areas of sequence data generation, analysis, interpretation and reporting. The CLARITY Challenge was designed to spur convergence in methods for diagnosing genetic disease starting from clinical case history and genome sequencing data. DNA samples were obtained from three families with heritable genetic disorders and genomic sequence data were donated by sequencing platform vendors. The challenge was to analyze and interpret these data with the goals of identifying disease-causing variants and reporting the findings in a clinically useful format. Participating contestant groups were solicited broadly, and an independent panel of judges evaluated their performance. RESULTS: A total of 30 international groups were engaged. The entries reveal a general convergence of practices on most elements of the analysis and interpretation process. However, even given this commonality of approach, only two groups identified the consensus candidate variants in all disease cases, demonstrating a need for consistent fine-tuning of the generally accepted methods. There was greater diversity of the final clinical report content and in the patient consenting process, demonstrating that these areas require additional exploration and standardization. CONCLUSIONS: The CLARITY Challenge provides a comprehensive assessment of current practices for using genome sequencing to diagnose and report genetic diseases. There is remarkable convergence in bioinformatic techniques, but medical interpretation and reporting are areas that require further development by many groups

Neurochemical Status and Cortical Oscillatory Activity in aGenetic Mouse Model

Calcium (Ca2+) ions comprise critical second messengers for a wide variety of cellularprocesses, including gene expression, cell proliferation and death, and metabolism; neurons are noexception to this. Intraneuronal Ca2+ handling regulates processes such as long-term potentiation(LTP), synaptic transmission, and generation of firing patterns. Subsequently, disruptions ofneuronal Ca2+ has been implicated in several neuropsychiatric and neurodegenerative disorders. Akey component of the neuronal Ca2+ handling toolkit is the sarco/endoplasmic reticulumCa2+ ATPase (SERCA) pump, specifically the SERCA2 isoform. We have recently identified anovel SERCA regulator to be expressed in the central nervous system. In the context of the currentthesis, we assessed how loss of this gene may affect the neurochemical status and the corticaloscillatory activity upon genetic ablation of this gene in mice. Specifically, in the first part of thestudy an ex vivo neurochemical screening in distinct brain regions was conducted using highperformance liquid chromatography (HPLC) with coulometric detection focusing onmonoaminergic (i.e., noradrenaline, serotonin, dopamine) and aminoacidergic neurotransmission(i.e., glutamate, aspartate, ?-aminobutyric acid); in the second part of the study anelectroencephalogram (EEG)-based power spectral analysis was conducted in order to assess howloss of this molecular player affects cortical oscillations in the different vigilance states in micelacking this gene and in their wild type controls. Overall, current findings show that ablation of thisgene results in sex-dependent and brain region-specific endophenotypic alterations and further provide valuable insights to understanding the role of this novel player in brain physiology andpathophysiology