Timber isoscapes. A case study in a mountain area in the Italian Alps

Autor: Ana Cristina Stradiotti, Federica Camin, Y. Gori
Přispěvatelé: San Michele all’ Adige, Universidade Estadual Paulista (Unesp)
Rok vydání: 2018
Předmět:
Settore CHIM/01 - CHIMICA ANALITICA
Composite Particles
010504 meteorology & atmospheric sciences
Isoscapes
lcsh:Medicine
Timber
Plant Science
Forests
computer.software_genre
01 natural sciences
Trees
Multivariate interpolation
Remote Sensing
Isotopes
Oxygen Radioisotopes
Kriging
Plant Products
lcsh:Science
Numerical Analysis
Lidar
Multidisciplinary
Geography
Ecology
Physics
Plant Anatomy
Stable Isotopes
Eukaryota
Agriculture
Biodiversity
Plants
Wood
Terrestrial Environments
Italy
Isotope Labeling
Physical Sciences
Engineering and Technology
Illegal logging
Research Article
Conservation of Natural Resources
Atoms
Geospatial analysis
Traceability
Spatial distribution
Ecosystems
Deforestation
Picea
Particle Physics
0105 earth and related environmental sciences
lcsh:R
Ecology and Environmental Sciences
010401 analytical chemistry
Organisms
Biology and Life Sciences
Agronomy
Interpolation
0104 chemical sciences
Multivariate Analysis
lcsh:Q
Physical geography
computer
Mathematics
Crop Science
Zdroj: PLoS ONE
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
PLoS ONE, Vol 13, Iss 2, p e0192970 (2018)
ISSN: 1932-6203
Popis: Made available in DSpace on 2018-12-11T16:51:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-02-01 Background Local timber is still one of the main sources of work and income for mountain communities. However, illegal logging is a major cause of deforestation in many countries and has significant impacts on local communities and biodiversity. Techniques for tracing timber would provide a useful tool to protect local timber industries and contribute to the fight against illegal logging. Although considerable progress has been made in food traceability, timber provenance is still a somewhat neglected research area. Stable isotope ratios in plants are known to reflect geographical variations. This study reports accurate spatial distribution of δ18O and δ2H in timber from north-eastern Italy (Trentino) in order to trace geographical origin. Methodology and principal findings We tested the accuracy of four kriging methods using an annual resolution of δ18O and δ2H measured in Picea abies. Pearson’s correlation coefficients revealed altitude to be the most appropriate covariate for the cokriging model, which has ultimately proved to be the best method due to its low estimation error. Conclusions We present regional maps of interpolated δ18O and δ2H in Picea abies wood together with the 95% confidence intervals. The strong spatial structure of the data demonstrates the potential of multivariate spatial interpolation, even in a highly heterogeneous area such as the Alps. We believe that this geospatial approach can be successfully applied on a wider scale in order to combat illegal logging. Department of Food Quality and Nutrition Research and Innovation Centre Fondazione Edmund Mach (FEM) San Michele all’ Adige Stable Isotopes Center Institute of Biosciences São Paulo State University (UNESP) Stable Isotopes Center Institute of Biosciences São Paulo State University (UNESP)
Databáze: OpenAIRE
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