Quantification of In Situ Denitrification Rates in Groundwater Below an Arable and a Grassland System

peer-reviewedUnderstanding denitrification rates in groundwater ecosystems can help predict where agricultural reactive nitrogen (N) contributes to environmental degradation. In situ groundwater denitrification rates were determined in subsoil, at the bedrock-interface and in bedrock at two sites, grassland and arable, using an in situ ‘push-pull’ method with 15N labelled nitrate (NO3--N). Measured groundwater denitrification rates ranged from 1.3 to 469.5 µg N kg-1d-1. Exceptionally high denitrification rates observed at the bedrock-interface at grassland site (470±152µg N kg-1d-1; SE, standard error) suggest that deep groundwater can serve as substantial hotspots for NO3--N removal. However, denitrification rates at the other locations were low and may not substantially reduce NO3--N delivery to surface waters. Denitrification rates were negatively correlated with ambient dissolved oxygen (DO), redox potential (Eh), ks and NO3- (all p-values p<0.01) and positively correlated with SO42- (p<0.05). Higher mean N2O/(N2O+N2) ratios at arable (0.28) site than the grassland (0.10) revealed that arable site has higher potential to indirect N2O emissions. Identification of areas with high and low denitrification and related site parameters can be a tool to manage agricultural N to safeguard the environment.Department of Agriculture and Food, Ireland - Research Stimulus Fund Programme (Grant RSF 06383

A broad-band leaf chlorophyll vegetation index at the canopy scale

An assessment of the sensitivity at the canopy scale to leaf chlorophyll concentration of the broad-band chlorophyll vegetation index (CVI) is carried out for a wide range of soils and crops conditions and for different sun zenith angles by the analysis of a large synthetic dataset obtained by using in the direct mode the coupled PROSPECT ? SAILH leaf and canopy reflectance model. An optimized version (OCVI) of the CVI is proposed. A single correction factor is incorporated in the OCVI algorithm to take into account the different spectral behaviors due to crop and soil types, sensor spectral resolution and scene sun zenith angle. An estimate of the value of the correction factor and of the minimum leaf area index (LAI) value of applicability are given for each considered condition. The results of the analysis of the synthetic dataset indicated that the broad-band CVI index could be used as a leaf chlorophyll estimator for planophile crops in most soil conditions. Results indicated as well that, in principle, a single correction factor incorporated in the OCVI could take into account the different spectral behaviors due to crop and soil types, sensor spectral resolution and scene sun zenith angle