Spatial interpolation of N concentrations and δ15N values in the moss Hypnum cupressiforme collected in the forests of Slovenia |
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| Institution: | 1. Slovenian Forestry Institute, Department of Forest and Landscape Planning and Monitoring, Večna pot 2, 1000 Ljubljana, Slovenia;2. Jožef Stefan Institute, Department of Environmental Sciences, Jamova 39, 1000 Ljubljana, Slovenia;3. University of Ljubljana, Biotechnical Faculty, Department of Agronomy, Jamnikarjeva 101, 1000 Ljubljana, Slovenia;1. Chemistry Department, Central Washington University, 400 E. University Way, Ellensburg, WA, USA;2. Mount Rainier National Park, 55210 238th Avenue East, Ashford, WA, USA;1. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, PR China;2. School of Computer and Software, Nanjing University of Information Science and Technology, No. 219 NingLiu Road, Nanjing 210044, PR China;1. Centro Interuniversitário de História das Ciências e da Tecnologia, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Bloco C4, 1749-016 Lisbon, Portugal;2. Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Bloco C2, 1749-016 Lisbon, Portugal;3. University of Siena, via Mattioli 4, 53100 Siena, Italy;4. Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Irnerio 42, 40126 Bologna, Italy;5. Department of Life Sciences, University of Siena, Via Aldo Moro 2, 53100 Siena, Italy;6. Department of Cellular, Computational and Integrative Biology – CIBIO, University of Trento, Via Sommarive 9, Povo, 38123, Trento, Italy;7. Centre for Ecology & Hydrology (CEH) Edinburgh, Bush Estate, Penicuik EH26 0QB, UK;1. Biogeomorphology Research and Analysis Group, Department of Geography, University of Kentucky, Lexington, KY 40506-0027, USA;2. 4-Zero Land Space Creation Group, BK21 Plus for Geography Department, Seoul National University, Seoul, Republic of Korea;1. Department of Biology, University of Florence, via G. La Pira 4, I-50121, Florence, Italy;2. Department of Biology, University of Florence, via Micheli 1, I-50121, Florence, Italy;3. Department of Biology, University of Pisa, via L. Ghini 13, I-56126, Pisa, Italy;4. Department of Biology, University of Florence, via Micheli 3, I-50121, Florence, Italy;5. Phytolab - Department of Statistics, Informatics, Applications, University of Florence, Via U. Schiff 6, I-50019, Sesto Fiorentino, FI, Italy |
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| Abstract: | Mosses were collected from 103 locations and analyzed for N concentration and δ15N values. At each location, the samples were collected from two types of site: under the tree canopies and in the adjacent forest openings. A spatial correlation was detected, and ordinary kriging could be applied only to the N in the mosses that were collected in the openings. In contrast, a spatial correlation was not detected for N in the mosses that were collected under the canopies or for the δ15N of the mosses at either type of site. For those, the spatial interpolation was calculated as the sum of the regression predictions and the inverse distance weighted interpolation of residuals. The maps for the N at both site types (canopy/open) identified similar areas with increased N concentrations. The sole exception was the mosses collected under the canopy, for which some local emitters of NOx were also identified. |
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| Keywords: | Mapping Variograms Kriging Biomonitoring Moss survey Canopy drip Nitrogen N isotope Prediction with regression model |
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