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Current national nitrogen (N) management policies in Ireland, such as the Green Book (GB) and the Fifth Nitrates Action Programme (NAP), do not explicitly consider geographical factors (e.g. weather, soils) that influence nitrogen uptake and loss and which could lead to improved on-farm sustainability, in line with the goals of 4R Nutrient Stewardship (4RNS). One approach to address this is to classify the landscape by soil and climatic indicators of yield and N loss (Group 1 Variables -regional); this could be refined with more targeted monitoring in zones where a reduction of yield and N loss occurs under a reduced N input regime (Group 2 Variables - locale specific), required to identify more local context-specific factors. Here, we employed the DNDC (DeNitrification DeComposition) model to identify Group 1 and Group 2 Variables for grass yield and N loss, through scenario analysis for three Irish grassland sites for year 2019, with local model parameterisation and a suite of minimum inputs required for reliable performance - identified from existing literature. The study sites were a sandy loam (JCSL) and a loam soil (JCL) site at Johnstown Castle (lower average annual rainfall and daily temperature) and a sandy loam (MP) site at Moorepark. While both MP and JCSL had sandy loam soil, MP a higher bulk density (BD), pH and water filled pore spaces (WFPS) at field capacity (FC) and wilting point (WP) but lower soil organic carbon (SOC) and clay content than JCSL. Based on the scenarios simulated, the NAP resulted in a lower simulated yield (-4.98 % to -15.62 %) and a reduction in ammonia (NH) volatilisation (-29.40 % to -30.35 %), nitrous oxide (NO) emissions (-30.49 to -35.15 %) and nitrate (NO) leaching (-55.51 % to -61.38 %). Both Group 1 and 2 Variables for annual yield and NO emissions were soil sand content, BD, SOC and for NH volatilisation, annual rainfall and average annual temperature, for both GB and NAP. The Group 2 Variables for NO leaching were soil sand and clay content, pH, annual rainfall and average annual temperature; corresponding Group 1 Variables were found to vary under both GB and NAP.
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http://dx.doi.org/10.1016/j.jenvman.2025.127069 | DOI Listing |
J Intensive Care
September 2025
German Center for Vertigo and Balance Disorders, Ludwig-Maximilians-Universitat (LMU), University Hospital Grosshadern, Munich, Germany.
Background: Survivors of critical illness frequently face physical, cognitive and psychological impairments after intensive care. Sensorimotor impairments potentially have a negative impact on participation. However, comprehensive understanding of sensorimotor recovery and participation in survivors of critical illness is limited.
View Article and Find Full Text PDFBMC Public Health
September 2025
Department of Social and Health Sciences in Sport, Bayreuth Center of Sport Science, University of Bayreuth, Bayreuth, Germany.
Background: Sedentary behavior (SB) and the absence of physical activity (PA) have become increasingly prevalent in modern societies due to changes in physical and social-environmental conditions, particularly in university students. This cross-sectional study aimed to describe and identify the prevalence and correlates of self-reported and accelerometer-determined SB and PA of German university students.
Methods: A convenience sample of 532 students participated in a questionnaire survey during the lecture period in the summer term 2018.
Alzheimers Dement
September 2025
Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Introduction: Mild cognitive impairment (MCI) represents a transitional stage between normal aging and dementia. We investigate associations among cardiovascular and metabolic disorders (hypertension, diabetes mellitus, and hyperlipidemia) and diagnosis (normal; amnestic [aMCI]; and non-amnestic [naMCI]).
Methods: Multinomial logistic regressions of participant data (N = 8737; age = 70.
Ren Fail
December 2025
Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.
The Grams model, designed to predict adverse event risks in advanced chronic kidney disease (CKD) patients, was evaluated in a Chinese cohort of 1,333 patients with eGFR below 30 mL/min/1.73 m. The model demonstrated moderate to good discrimination across outcomes, performing well in predicting kidney replacement therapy (KRT) but overestimating the risks of cardiovascular disease (CVD) and mortality.
View Article and Find Full Text PDFEnviron Manage
September 2025
TEMSUS Research Group, Catholic University of Ávila, Ávila, Spain.
Forests have been increasingly affected by natural disturbances and human activities. These impacts have caused habitat fragmentation and a loss of ecological connectivity. This study examines potential restoration pathways that reconnect the five largest forest cores in the Castilla y León region of Spain.
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