Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses

Autores
Aguzzoni, Agnese; Giammarchi, Francesco; Mundo, Ignacio Alberto; Voto, Giulio; Tonon, Giustino; Tirler, Werner; Tomelleri, Enrico
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
International timber trading is subject to rigorous certification schemes that require the disclosure of essential information, including the tree species and geographic origin of the timber in question. Regrettably, the lack of readily accessible forensic tools to verify compliance has facilitated the proliferation of illegal timber trading, with dramatic consequences for ecosystems and biodiversity. The objective of this study was to investigate the potential of a multichemical approach based on the multielement and strontium isotope (87Sr/86Sr) ratio analysis combined with chemometrics to test sample recognition according to their species and geographic origin. The sampling area covered a regional-scale portion of the Eastern Alpine region (< 30 000 km2), for highlighting the applicability of the approach within a spatially constrained context. The study focused on three representative species from local forests: Norway spruce, European larch, and Swiss stone pine. Samples were characterised from stands grown on diverse bedrock types. Our findings revealed a strikingly consistent variation in the multielement profiles across different species, thereby enabling flawless sample recognition. Considering the geographic origin, the 87Sr/86Sr ratio proved to be a pivotal parameter, by virtue of its correlation with the geo-lithological composition of the growing area. Combining the chemical markers, an accurate sample classification based on multiple decision trees was attained, even comparing forest stands grown on the same bedrock type. These findings offer novel insights into the utilisation of chemical markers in provenancing and authenticity studies, thereby enhancing the adoption of integrated approaches to counteract illegal timber trade.
Fil: Aguzzoni, Agnese. No especifíca;
Fil: Giammarchi, Francesco. Free University of Bozen-Bolzano; Italia
Fil: Mundo, Ignacio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Voto, Giulio. No especifíca;
Fil: Tonon, Giustino. Free University of Bozen-Bolzano; Italia
Fil: Tirler, Werner. No especifíca;
Fil: Tomelleri, Enrico. Free University of Bozen-Bolzano; Italia
Materia
CHEMICAL MARKERS
WOOD FORENSICS
GEOGRAPHICAL ORIGIN
PICEA ABIES KARST.
LARIX DECIDUA MILL.
PINUS CEMBRA L
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/281090

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network_name_str CONICET Digital (CONICET)
spelling Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analysesAguzzoni, AgneseGiammarchi, FrancescoMundo, Ignacio AlbertoVoto, GiulioTonon, GiustinoTirler, WernerTomelleri, EnricoCHEMICAL MARKERSWOOD FORENSICSGEOGRAPHICAL ORIGINPICEA ABIES KARST.LARIX DECIDUA MILL.PINUS CEMBRA Lhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4International timber trading is subject to rigorous certification schemes that require the disclosure of essential information, including the tree species and geographic origin of the timber in question. Regrettably, the lack of readily accessible forensic tools to verify compliance has facilitated the proliferation of illegal timber trading, with dramatic consequences for ecosystems and biodiversity. The objective of this study was to investigate the potential of a multichemical approach based on the multielement and strontium isotope (87Sr/86Sr) ratio analysis combined with chemometrics to test sample recognition according to their species and geographic origin. The sampling area covered a regional-scale portion of the Eastern Alpine region (< 30 000 km2), for highlighting the applicability of the approach within a spatially constrained context. The study focused on three representative species from local forests: Norway spruce, European larch, and Swiss stone pine. Samples were characterised from stands grown on diverse bedrock types. Our findings revealed a strikingly consistent variation in the multielement profiles across different species, thereby enabling flawless sample recognition. Considering the geographic origin, the 87Sr/86Sr ratio proved to be a pivotal parameter, by virtue of its correlation with the geo-lithological composition of the growing area. Combining the chemical markers, an accurate sample classification based on multiple decision trees was attained, even comparing forest stands grown on the same bedrock type. These findings offer novel insights into the utilisation of chemical markers in provenancing and authenticity studies, thereby enhancing the adoption of integrated approaches to counteract illegal timber trade.Fil: Aguzzoni, Agnese. No especifíca;Fil: Giammarchi, Francesco. Free University of Bozen-Bolzano; ItaliaFil: Mundo, Ignacio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Voto, Giulio. No especifíca;Fil: Tonon, Giustino. Free University of Bozen-Bolzano; ItaliaFil: Tirler, Werner. No especifíca;Fil: Tomelleri, Enrico. Free University of Bozen-Bolzano; ItaliaElsevier Science2025-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/281090Aguzzoni, Agnese; Giammarchi, Francesco; Mundo, Ignacio Alberto; Voto, Giulio; Tonon, Giustino; et al.; Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses; Elsevier Science; Forest Ecology and Management; 579; 3-2025; 1-100378-1127CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0378112725000027info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foreco.2025.122494info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-06-10T09:44:35Zoai:ri.conicet.gov.ar:11336/281090instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-06-10 09:44:35.396CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses
title Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses
spellingShingle Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses
Aguzzoni, Agnese
CHEMICAL MARKERS
WOOD FORENSICS
GEOGRAPHICAL ORIGIN
PICEA ABIES KARST.
LARIX DECIDUA MILL.
PINUS CEMBRA L
title_short Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses
title_full Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses
title_fullStr Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses
title_full_unstemmed Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses
title_sort Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses
dc.creator.none.fl_str_mv Aguzzoni, Agnese
Giammarchi, Francesco
Mundo, Ignacio Alberto
Voto, Giulio
Tonon, Giustino
Tirler, Werner
Tomelleri, Enrico
author Aguzzoni, Agnese
author_facet Aguzzoni, Agnese
Giammarchi, Francesco
Mundo, Ignacio Alberto
Voto, Giulio
Tonon, Giustino
Tirler, Werner
Tomelleri, Enrico
author_role author
author2 Giammarchi, Francesco
Mundo, Ignacio Alberto
Voto, Giulio
Tonon, Giustino
Tirler, Werner
Tomelleri, Enrico
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv CHEMICAL MARKERS
WOOD FORENSICS
GEOGRAPHICAL ORIGIN
PICEA ABIES KARST.
LARIX DECIDUA MILL.
PINUS CEMBRA L
topic CHEMICAL MARKERS
WOOD FORENSICS
GEOGRAPHICAL ORIGIN
PICEA ABIES KARST.
LARIX DECIDUA MILL.
PINUS CEMBRA L
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv International timber trading is subject to rigorous certification schemes that require the disclosure of essential information, including the tree species and geographic origin of the timber in question. Regrettably, the lack of readily accessible forensic tools to verify compliance has facilitated the proliferation of illegal timber trading, with dramatic consequences for ecosystems and biodiversity. The objective of this study was to investigate the potential of a multichemical approach based on the multielement and strontium isotope (87Sr/86Sr) ratio analysis combined with chemometrics to test sample recognition according to their species and geographic origin. The sampling area covered a regional-scale portion of the Eastern Alpine region (< 30 000 km2), for highlighting the applicability of the approach within a spatially constrained context. The study focused on three representative species from local forests: Norway spruce, European larch, and Swiss stone pine. Samples were characterised from stands grown on diverse bedrock types. Our findings revealed a strikingly consistent variation in the multielement profiles across different species, thereby enabling flawless sample recognition. Considering the geographic origin, the 87Sr/86Sr ratio proved to be a pivotal parameter, by virtue of its correlation with the geo-lithological composition of the growing area. Combining the chemical markers, an accurate sample classification based on multiple decision trees was attained, even comparing forest stands grown on the same bedrock type. These findings offer novel insights into the utilisation of chemical markers in provenancing and authenticity studies, thereby enhancing the adoption of integrated approaches to counteract illegal timber trade.
Fil: Aguzzoni, Agnese. No especifíca;
Fil: Giammarchi, Francesco. Free University of Bozen-Bolzano; Italia
Fil: Mundo, Ignacio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Voto, Giulio. No especifíca;
Fil: Tonon, Giustino. Free University of Bozen-Bolzano; Italia
Fil: Tirler, Werner. No especifíca;
Fil: Tomelleri, Enrico. Free University of Bozen-Bolzano; Italia
description International timber trading is subject to rigorous certification schemes that require the disclosure of essential information, including the tree species and geographic origin of the timber in question. Regrettably, the lack of readily accessible forensic tools to verify compliance has facilitated the proliferation of illegal timber trading, with dramatic consequences for ecosystems and biodiversity. The objective of this study was to investigate the potential of a multichemical approach based on the multielement and strontium isotope (87Sr/86Sr) ratio analysis combined with chemometrics to test sample recognition according to their species and geographic origin. The sampling area covered a regional-scale portion of the Eastern Alpine region (< 30 000 km2), for highlighting the applicability of the approach within a spatially constrained context. The study focused on three representative species from local forests: Norway spruce, European larch, and Swiss stone pine. Samples were characterised from stands grown on diverse bedrock types. Our findings revealed a strikingly consistent variation in the multielement profiles across different species, thereby enabling flawless sample recognition. Considering the geographic origin, the 87Sr/86Sr ratio proved to be a pivotal parameter, by virtue of its correlation with the geo-lithological composition of the growing area. Combining the chemical markers, an accurate sample classification based on multiple decision trees was attained, even comparing forest stands grown on the same bedrock type. These findings offer novel insights into the utilisation of chemical markers in provenancing and authenticity studies, thereby enhancing the adoption of integrated approaches to counteract illegal timber trade.
publishDate 2025
dc.date.none.fl_str_mv 2025-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/281090
Aguzzoni, Agnese; Giammarchi, Francesco; Mundo, Ignacio Alberto; Voto, Giulio; Tonon, Giustino; et al.; Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses; Elsevier Science; Forest Ecology and Management; 579; 3-2025; 1-10
0378-1127
CONICET Digital
CONICET
url http://hdl.handle.net/11336/281090
identifier_str_mv Aguzzoni, Agnese; Giammarchi, Francesco; Mundo, Ignacio Alberto; Voto, Giulio; Tonon, Giustino; et al.; Tracing timber origin: Geographic provenancing at regional scale with multielement and strontium isotope ratio analyses; Elsevier Science; Forest Ecology and Management; 579; 3-2025; 1-10
0378-1127
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0378112725000027
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foreco.2025.122494
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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