{"type": "FeatureCollection", "features": [{"id": "10.1007/bf00335811", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:25Z", "type": "Journal Article", "created": "2002-08-25", "title": "Prolonged Simulated Acid Rain Treatment In The Subarctic: Effect On The Soil Respiration Rate And Microbial Biomass", "description": "Humus chemistry and respiration rate, ATP, ergosterol, and muramic acid concentration as measures of chemical properties, microbial activity, biomass, and indicators of fungal and bacterial biomass were studied in a long-term acid rain experiment in the far north of Finnish Lapland. The treatments used in this study were dry control, irrigated control (spring water, pH 6), and two levels of simulated acid rain (pH 4 and pH 3). Originally (1985\u20131988), simulated acid rain was prepared by adding both H2SO4 and HNO3 (1.9:1 by weight). In 1989 the treatments were modified as follows. In subarea 1 the treatments continued unchanged (H2SO4+HNO3 in rain to pH 4 and pH 3), but in subarea 2 only H2SO4 was applied. The plots were sampled in 1992. The acid application affected humus chemistry by lowering the pH, cation exchange capacity, and base saturation (due to a decrease in Ca and Mg) in the treatment with H2SO4+HNO3 to pH 4 (total proton load over 8 years 2.92 kmol ha-1), whereas the microbial variables were not affected at this proton load, and only the respiration rate decreased by 20% in the strongest simulated acid rain treatment (total proton load 14.9 kmol ha-1). The different ratios of H2SO4+HNO3 in subareas 1 and 2 did not affect the results.", "keywords": ["havumets\u00e4t", "570", "ergosteroli", "0401 agriculture", " forestry", " and fisheries", "hapan sade", "mikrobibiomassa", "04 agricultural and veterinary sciences", "humus", "maan hengitys", "01 natural sciences", "6. 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The spectroscopic and the soil physicochemical analysis data from the humus samples were used separately to explain observed variations in soil respiration and microbial biomass C by partial least-square regression. The first regression component obtained from the physicochemical and spectroscopic characterization explained 10\u201312% and 60\u201380% of the biological variation, respectively. This suggests that information on organic material collected from near-infrared spectra is very useful for explaining biological variations in forest humus.", "keywords": ["havumets\u00e4t", "570", "0401 agriculture", " forestry", " and fisheries", "mikrobibiomassa", "moniasteregressio", "04 agricultural and veterinary sciences", "15. 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