Using near-infrared spectroscopy as a cost-effective method to characterise soil and leaf properties in native forest
Forests conservation and sustainable management of forests require an understanding of ecological traits that influence carbon and nutrient turnover in forest ecosystems. This study evaluates the potential of Near Infrared Spectroscopy (NIRS) as a rapid, non-destructive and cost-effective tool for c...
| Autores principales: | , , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
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Elsevier
2025
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/21817 https://www.sciencedirect.com/science/article/pii/S2352009425000331 https://doi.org/10.1016/j.geodrs.2025.e00948 |
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| author | Alvarez, Valeria Esther Arias Rios, Jorge Andres Guidalevich, Verónica Marchelli, Paula Tittonell, Pablo Adrian El Mujtar, Veronica Andrea |
| author_browse | Alvarez, Valeria Esther Arias Rios, Jorge Andres El Mujtar, Veronica Andrea Guidalevich, Verónica Marchelli, Paula Tittonell, Pablo Adrian |
| author_facet | Alvarez, Valeria Esther Arias Rios, Jorge Andres Guidalevich, Verónica Marchelli, Paula Tittonell, Pablo Adrian El Mujtar, Veronica Andrea |
| author_sort | Alvarez, Valeria Esther |
| collection | INTA Digital |
| description | Forests conservation and sustainable management of forests require an understanding of ecological traits that influence carbon and nutrient turnover in forest ecosystems. This study evaluates the potential of Near Infrared Spectroscopy (NIRS) as a rapid, non-destructive and cost-effective tool for characterising soil and trees in natural forests and forest-frontier ecosystems. Soil samples were collected at four depths from three land uses (native forest, grazed grassland, and horticultural land), while leaf samples were obtained from two provenances of Nothofagus alpina. Spectra were used to classify samples, predict biological and chemical properties, estimate relatedness matrices for both soils and leaves and compared them with those obtained from genetic data. Principal component analysis separated soil samples from different land uses and depths as well as leaf samples from the two provenances. NIRS-based models showed high predictive accuracy for soil microbial biomass, biological activity and total carbon (R2 = 0.80, 0.94, and 0.86, respectively), although leaf pigment estimation was less reliable (R2 = 0.60–0.40). Correlations between genetic and NIRS relatedness matrices were low, highlighting that both methodologies are relevant for sample characterisation. These findings demonstrate that NIRS is a useful method for assessing soil ecological traits associated with nutrient cycling offering a practical and cost-efficient alternative for ecological monitoring in forest ecosystems. However, further methodological improvements are needed to enhance its accuracy, particularly for leaf traits characterisation. This study highlights the broader potential of NIRS for large-scale forest management, conservation strategies, and ecological research. |
| format | info:ar-repo/semantics/artículo |
| id | INTA21817 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA218172025-03-26T11:38:46Z Using near-infrared spectroscopy as a cost-effective method to characterise soil and leaf properties in native forest Alvarez, Valeria Esther Arias Rios, Jorge Andres Guidalevich, Verónica Marchelli, Paula Tittonell, Pablo Adrian El Mujtar, Veronica Andrea Bosques Bosque Primario Suelo Espectroscopia Infrarroja Ordenación Forestal Forests Primary Forests Soil Infrared Spectrophotometry Forest Management Bosques Nativos NIRS Región Patagónica Forests conservation and sustainable management of forests require an understanding of ecological traits that influence carbon and nutrient turnover in forest ecosystems. This study evaluates the potential of Near Infrared Spectroscopy (NIRS) as a rapid, non-destructive and cost-effective tool for characterising soil and trees in natural forests and forest-frontier ecosystems. Soil samples were collected at four depths from three land uses (native forest, grazed grassland, and horticultural land), while leaf samples were obtained from two provenances of Nothofagus alpina. Spectra were used to classify samples, predict biological and chemical properties, estimate relatedness matrices for both soils and leaves and compared them with those obtained from genetic data. Principal component analysis separated soil samples from different land uses and depths as well as leaf samples from the two provenances. NIRS-based models showed high predictive accuracy for soil microbial biomass, biological activity and total carbon (R2 = 0.80, 0.94, and 0.86, respectively), although leaf pigment estimation was less reliable (R2 = 0.60–0.40). Correlations between genetic and NIRS relatedness matrices were low, highlighting that both methodologies are relevant for sample characterisation. These findings demonstrate that NIRS is a useful method for assessing soil ecological traits associated with nutrient cycling offering a practical and cost-efficient alternative for ecological monitoring in forest ecosystems. However, further methodological improvements are needed to enhance its accuracy, particularly for leaf traits characterisation. This study highlights the broader potential of NIRS for large-scale forest management, conservation strategies, and ecological research. EEA Bariloche Fil: Alvarez, Valeria Esther. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Alvarez, Valeria Esther. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Alvarez, Valeria Esther. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Tecnológico de Chascomús; Argentina Fil: Alvarez, Valeria Esther. Universidad Nacional de San Martín. Instituto Tecnológico de Chascomús; Argentina Fil: Arias Rios, Jorge Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Arias Rios, Jorge Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Guidalevich, Verónica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Guidalevich, Verónica. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Marchelli, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Marchelli, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Tittonell, Pablo Adrian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Tittonell, Pablo Adrian. Groningen University. Groningen Institute of Evolutionary Life Sciences; Países Bajos Fil: Tittonell, Pablo Adrian. Universite de Montpellier. Centre de cooperation Internationale en Recherche Agronomique pour le Developpement. Agroecologie et Intensification Durable; Francia. Fil: El Mujtar, Veronica Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: El Mujtar, Veronica Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina 2025-03-26T11:29:46Z 2025-03-26T11:29:46Z 2025-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/21817 https://www.sciencedirect.com/science/article/pii/S2352009425000331 2352-0094 https://doi.org/10.1016/j.geodrs.2025.e00948 eng info:eu-repograntAgreement/INTA/2019-PE-E1-I020-001, Desarrollo de criterios para diseño, monitoreo y evaluación de estrategias de intensificación sostenible de agroecosistemas, basadas en múltiples servicios ecosistémicos info:eu-repograntAgreement/INTA/2019-PD-E2-I037-002, Biodiversidad edáfica: componente clave para una gestión integral y sustentable del recurso suelo info:eu-repograntAgreement/INTA/2023-PD-L03-I103, Enfoques y metodologías para el estudio, monitoreo y diseño de agroecosistemas orientados a la intensificación ecológica info:eu-repograntAgreement/INTA/2023-PD-L03-I093, Fertilidad química, física y biológica del suelo: estrategias para mitigar y restaurar procesos de degradación info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Elsevier Geoderma Regional 40 : e00948. (March 2025) |
| spellingShingle | Bosques Bosque Primario Suelo Espectroscopia Infrarroja Ordenación Forestal Forests Primary Forests Soil Infrared Spectrophotometry Forest Management Bosques Nativos NIRS Región Patagónica Alvarez, Valeria Esther Arias Rios, Jorge Andres Guidalevich, Verónica Marchelli, Paula Tittonell, Pablo Adrian El Mujtar, Veronica Andrea Using near-infrared spectroscopy as a cost-effective method to characterise soil and leaf properties in native forest |
| title | Using near-infrared spectroscopy as a cost-effective method to characterise soil and leaf properties in native forest |
| title_full | Using near-infrared spectroscopy as a cost-effective method to characterise soil and leaf properties in native forest |
| title_fullStr | Using near-infrared spectroscopy as a cost-effective method to characterise soil and leaf properties in native forest |
| title_full_unstemmed | Using near-infrared spectroscopy as a cost-effective method to characterise soil and leaf properties in native forest |
| title_short | Using near-infrared spectroscopy as a cost-effective method to characterise soil and leaf properties in native forest |
| title_sort | using near infrared spectroscopy as a cost effective method to characterise soil and leaf properties in native forest |
| topic | Bosques Bosque Primario Suelo Espectroscopia Infrarroja Ordenación Forestal Forests Primary Forests Soil Infrared Spectrophotometry Forest Management Bosques Nativos NIRS Región Patagónica |
| url | http://hdl.handle.net/20.500.12123/21817 https://www.sciencedirect.com/science/article/pii/S2352009425000331 https://doi.org/10.1016/j.geodrs.2025.e00948 |
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