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2.
Nat Commun ; 11(1): 6036, 2020 11 27.
Article in English | MEDLINE | ID: mdl-33247130

ABSTRACT

Human activities are transforming grassland biomass via changing climate, elemental nutrients, and herbivory. Theory predicts that food-limited herbivores will consume any additional biomass stimulated by nutrient inputs ('consumer-controlled'). Alternatively, nutrient supply is predicted to increase biomass where herbivores alter community composition or are limited by factors other than food ('resource-controlled'). Using an experiment replicated in 58 grasslands spanning six continents, we show that nutrient addition and vertebrate herbivore exclusion each caused sustained increases in aboveground live biomass over a decade, but consumer control was weak. However, at sites with high vertebrate grazing intensity or domestic livestock, herbivores consumed the additional fertilization-induced biomass, supporting the consumer-controlled prediction. Herbivores most effectively reduced the additional live biomass at sites with low precipitation or high ambient soil nitrogen. Overall, these experimental results suggest that grassland biomass will outstrip wild herbivore control as human activities increase elemental nutrient supply, with widespread consequences for grazing and fire risk.


Subject(s)
Biomass , Grassland , Herbivory/physiology , Nitrogen/analysis , Phosphorus/analysis , Confidence Intervals , Fertilizers , Time Factors
4.
J Environ Radioact ; 102(5): 495-9, 2011 May.
Article in English | MEDLINE | ID: mdl-20947225

ABSTRACT

The chronologies and sediment accumulation rates for a lake sediment sequence from Lough Carra (Co. Mayo, western Ireland) were established by applying the constant initial concentration (CIC) and constant rate of supply (CRS) hypotheses to the measured (210)Pb(excess) profile. The resulting chronologies were validated using the artificial fallout radionuclides (137)Cs and (241)Am, which provide independent chronostratigraphic markers for the second half of the 20th century. The validity of extrapolating the derived CIC and CRS dates below the (210)Pb dating horizon using average sedimentation rates was investigated using supplementary paleolimnological information and historical data. Our data confirm that such an extrapolation is well justified at sites characterised by relatively stable sedimentation conditions.


Subject(s)
Chronology as Topic , Environmental Monitoring/methods , Fresh Water/chemistry , Geologic Sediments/analysis , Lead Radioisotopes/analysis , Paleontology/methods , Cesium Radioisotopes/analysis , Geologic Sediments/chemistry , Ireland , Radioactive Fallout/analysis , Reproducibility of Results
5.
Water Sci Technol ; 51(3-4): 19-29, 2005.
Article in English | MEDLINE | ID: mdl-15850170

ABSTRACT

The mean annual transfer (loss and retention) of nitrogen in a river system was estimated using a conceptual approach based on water surface area and runoff. Two different approaches for the calculation of water surface area were applied to determine riverine nitrogen retention in four European catchments, ranging between 860-14,000 km2 in area, and differing considerably in the proportion and distribution of surface waters, specific runoff and specific nutrient emissions. The transfer rate was estimated sequentially as either the mean value for the total catchment, on a sub-catchment scale, or considering the distribution of water surface area within a sub-catchment. For the latter measure, nitrogen retention in larger lakes was calculated separately. Nitrogen emissions modelled with MONERIS and HBV-N were used to calculate nitrogen river loads and compare those with observed loads. Inclusion of the proportion of water area within a sub-catchment improved modelled results in catchment with large lakes in sub-catchments, but not where there was a homogenous distribution of surface waters among sub-catchments.


Subject(s)
Fresh Water , Nitrogen/analysis , Rivers , Water Pollutants, Chemical/analysis , Germany , Ireland , Models, Theoretical , Sweden , Water Movements , Water Supply
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