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
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/281090
Ver los metadatos del registro completo
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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 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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publishedVersion |
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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 |
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eng |
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eng |
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Elsevier Science |
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