Spatial distribution of soil organic carbon concentrations in grassland of Ireland |
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Affiliation: | 1. National Demonstration Center for Environmental and Planning, Henan University, Kaifeng 475004, China;2. National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing 100094, China;3. College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410007, China;4. Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China;5. Henan Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Henan University, Kaifeng 475004, China;1. IRTA, Torre Marimon, Ctra. C-59 km 12.1, E-08140 Caldes de Montbui, Barcelona, Spain;2. CREAF, Centre de Recerca Ecològica i Aplicacions Forestals, E-08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain;3. CTFC, Forest Science and Technology Centre of Catalonia, Solsona 25250, Spain;4. Àrea de Recursos Geològics, Institut Cartogràfic i Geològic de Catalunya (ICGC), E-08038 Barcelona, Spain;5. DARP, Ministry of Agriculture, Livestock, Fisheries and Food, Government of Catalonia, Lleida E-25198, Spain;1. Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou, 310058, China;2. University of Wisconsin-Madison, Department of Soil Science, FD Hole Soils lab, 1525 Observatory Drive, Madison 53706, USA;3. Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou, China;4. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China;5. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China |
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Abstract: | Soil organic C (SOC) concentrations in topsoil samples taken at 678 sites in the grassland of Ireland were investigated using statistics and geostatistics. SOC concentrations (Walkley–Black method) follow a lognormal distribution, with a median and geometric mean of 5.0%, and an arithmetic mean of 5.3%. Statistically significant (P<0.01) positive correlation between SOC and silt-plus-clay, and negative correlation between SOC and sand were observed, with lower correlation (P=0.17) between SOC and pH. Lower SOC concentrations were associated with higher percentages of land in tillage. In order to obtain a robust measurement of spatial structure, spatial outliers were detected, and subsequently eliminated, using the local Moran's I index. The spatial distribution of SOC concentrations based on kriging interpolation showed coherent spatial patterns, with the highest values in the western coastal area, and relatively low values in the inland and southeastern coastal areas; soils at higher elevation were also found to contain higher SOC concentrations. These patterns are consistent with the distribution of rainfall within the country. |
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