Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes

Autores
Ladd, Brenton; Peri, Pablo Luis; Pepper, David A.; Silva, Lucas C.R.; Sheil, Douglas; Bonser, Stephen P.; Laffan, Shawn W.; Amelung, Wulf; Ekblad, Alf; Eliasson, Peter; Bahamonde, Héctor Alejandro; Duarte Guardia, Sandra; Bird, Michael I.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Leaf area index (LAI), a measure of canopy density, is a key variable for modelling and understanding primary productivity, and also water use and energy exchange in forest ecosystems. However, LAI varies considerably with phenology and disturbance patterns, so alternative approaches to quantifying stand‐level processes should be considered. The carbon isotope composition of soil organic matter (δ13CSOM) provides a time‐integrated, productivity‐weighted measure of physiological and stand‐level processes, reflecting biomass deposition from seasonal to decadal time scales. Our primary aim was to explore how well LAI correlates with δ13CSOM across biomes. Using a global data set spanning large environmental gradients in tropical, temperate and boreal forest and woodland, we assess the strength of the correlation between LAI and δ13CSOM; we also assess climatic variables derived from the WorldClim database. We found that LAI was strongly correlated with δ13CSOM, but was also correlated with Mean Temperature of the Wettest Quarter, Mean Precipitation of Warmest Quarter and Annual Solar Radiation across and within biomes. Synthesis. Our results demonstrate that δ13CSOM values can provide spatially explicit estimates of leaf area index (LAI) and could therefore serve as a surrogate for productivity and water use. While δ13CSOM has traditionally been used to reconstruct the relative abundance of C3 versus C4 species, the results of this study demonstrate that within stable C3‐ or C4‐dominated biomes, δ13CSOM can provide additional insights. The fact that LAI is strongly correlated to δ13CSOM may allow for a more nuanced interpretation of ecosystem properties of palaeoecosystems based on palaeosol 13C values.
EEA Santa Cruz
Fil: Ladd, Brenton. Universidad Científica del Sur. Escuela de Agroforestería; Peru. University of New South Wales. School of Biological. Earth and Environmental Sciences, Evolution and Ecology Research Centre; Australia
Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pepper, David A. University of New South Wales. School of Biological, Earth and Environmental Sciences; Australia.
Fil: Silva, Lucas C.R. University of California. Department of Land, Air and Water Resources; Estados Unidos
Fil: Sheil, Douglas. Southern Cross University. School of Environmental Science and Management; Australia. Center for International Forestry Research; Indonesia. Norwegian University of Life Sciences. Department of Ecology and Natural Resource Management; Noruega
Fil: Bonser, Stephen P. University of New South Wales. School of Biological, Earth and Environmental Sciences. Evolution and Ecology Research Centre; Australia
Fil: Laffan, Shawn W. University of New South Wales. School of Biological, Earth and Environmental Sciences; Australia
Fil: Amelung, Wulf. University of Bonn. Soil Science and Soil Ecology. Institute of Crop Science and Resource Conservation (INRES); Alemania
Fil: Ekblad, Alf. Örebro University. School of Science and Technology; Suecia
Fil: Eliasson, Peter. Örebro University. School of Science and Technology; Suecia. Lund University. Department of Physical Geography and Ecosystem Science; Suecia
Fil: Bahamonde, Héctor Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Duarte Guardia, Sandra. Universidad Científica del Sur. Facultad de Ciencias Ambientales; Perú
Fil: Bird, Michael I. Swedish University of Agricultural Sciences. Department of Ecology; Suecia. James Cook University. College of Science, Technology and Engineering and Centre for Tropical Environmental and Sustainability Science; Australia
Fuente
Journal of Ecology 102 (6) : 1606-1611 (November 2014)
Materia
Materia Orgánica del Suelo
Carbono
Isótopos
Índice de Superficie Foliar
Plantas Leñosas
Soil Organic Matter
Carbon
Isotopes
Leaf Area Index
Woody Plants
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/4745

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oai_identifier_str oai:localhost:20.500.12123/4745
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network_name_str INTA Digital (INTA)
spelling Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomesLadd, BrentonPeri, Pablo LuisPepper, David A.Silva, Lucas C.R.Sheil, DouglasBonser, Stephen P.Laffan, Shawn W.Amelung, WulfEkblad, AlfEliasson, PeterBahamonde, Héctor AlejandroDuarte Guardia, SandraBird, Michael I.Materia Orgánica del SueloCarbonoIsótoposÍndice de Superficie FoliarPlantas LeñosasSoil Organic MatterCarbonIsotopesLeaf Area IndexWoody PlantsLeaf area index (LAI), a measure of canopy density, is a key variable for modelling and understanding primary productivity, and also water use and energy exchange in forest ecosystems. However, LAI varies considerably with phenology and disturbance patterns, so alternative approaches to quantifying stand‐level processes should be considered. The carbon isotope composition of soil organic matter (δ13CSOM) provides a time‐integrated, productivity‐weighted measure of physiological and stand‐level processes, reflecting biomass deposition from seasonal to decadal time scales. Our primary aim was to explore how well LAI correlates with δ13CSOM across biomes. Using a global data set spanning large environmental gradients in tropical, temperate and boreal forest and woodland, we assess the strength of the correlation between LAI and δ13CSOM; we also assess climatic variables derived from the WorldClim database. We found that LAI was strongly correlated with δ13CSOM, but was also correlated with Mean Temperature of the Wettest Quarter, Mean Precipitation of Warmest Quarter and Annual Solar Radiation across and within biomes. Synthesis. Our results demonstrate that δ13CSOM values can provide spatially explicit estimates of leaf area index (LAI) and could therefore serve as a surrogate for productivity and water use. While δ13CSOM has traditionally been used to reconstruct the relative abundance of C3 versus C4 species, the results of this study demonstrate that within stable C3‐ or C4‐dominated biomes, δ13CSOM can provide additional insights. The fact that LAI is strongly correlated to δ13CSOM may allow for a more nuanced interpretation of ecosystem properties of palaeoecosystems based on palaeosol 13C values.EEA Santa CruzFil: Ladd, Brenton. Universidad Científica del Sur. Escuela de Agroforestería; Peru. University of New South Wales. School of Biological. Earth and Environmental Sciences, Evolution and Ecology Research Centre; AustraliaFil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pepper, David A. University of New South Wales. School of Biological, Earth and Environmental Sciences; Australia.Fil: Silva, Lucas C.R. University of California. Department of Land, Air and Water Resources; Estados UnidosFil: Sheil, Douglas. Southern Cross University. School of Environmental Science and Management; Australia. Center for International Forestry Research; Indonesia. Norwegian University of Life Sciences. Department of Ecology and Natural Resource Management; NoruegaFil: Bonser, Stephen P. University of New South Wales. School of Biological, Earth and Environmental Sciences. Evolution and Ecology Research Centre; AustraliaFil: Laffan, Shawn W. University of New South Wales. School of Biological, Earth and Environmental Sciences; AustraliaFil: Amelung, Wulf. University of Bonn. Soil Science and Soil Ecology. Institute of Crop Science and Resource Conservation (INRES); AlemaniaFil: Ekblad, Alf. Örebro University. School of Science and Technology; SueciaFil: Eliasson, Peter. Örebro University. School of Science and Technology; Suecia. Lund University. Department of Physical Geography and Ecosystem Science; SueciaFil: Bahamonde, Héctor Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Duarte Guardia, Sandra. Universidad Científica del Sur. Facultad de Ciencias Ambientales; PerúFil: Bird, Michael I. Swedish University of Agricultural Sciences. Department of Ecology; Suecia. James Cook University. College of Science, Technology and Engineering and Centre for Tropical Environmental and Sustainability Science; AustraliaWiley2019-03-26T15:35:27Z2019-03-26T15:35:27Z2014-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2745.12309http://hdl.handle.net/20.500.12123/47450022-04771365-2745https://doi.org/10.1111/1365-2745.12309Journal of Ecology 102 (6) : 1606-1611 (November 2014)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:44:37Zoai:localhost:20.500.12123/4745instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:37.41INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes
title Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes
spellingShingle Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes
Ladd, Brenton
Materia Orgánica del Suelo
Carbono
Isótopos
Índice de Superficie Foliar
Plantas Leñosas
Soil Organic Matter
Carbon
Isotopes
Leaf Area Index
Woody Plants
title_short Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes
title_full Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes
title_fullStr Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes
title_full_unstemmed Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes
title_sort Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes
dc.creator.none.fl_str_mv Ladd, Brenton
Peri, Pablo Luis
Pepper, David A.
Silva, Lucas C.R.
Sheil, Douglas
Bonser, Stephen P.
Laffan, Shawn W.
Amelung, Wulf
Ekblad, Alf
Eliasson, Peter
Bahamonde, Héctor Alejandro
Duarte Guardia, Sandra
Bird, Michael I.
author Ladd, Brenton
author_facet Ladd, Brenton
Peri, Pablo Luis
Pepper, David A.
Silva, Lucas C.R.
Sheil, Douglas
Bonser, Stephen P.
Laffan, Shawn W.
Amelung, Wulf
Ekblad, Alf
Eliasson, Peter
Bahamonde, Héctor Alejandro
Duarte Guardia, Sandra
Bird, Michael I.
author_role author
author2 Peri, Pablo Luis
Pepper, David A.
Silva, Lucas C.R.
Sheil, Douglas
Bonser, Stephen P.
Laffan, Shawn W.
Amelung, Wulf
Ekblad, Alf
Eliasson, Peter
Bahamonde, Héctor Alejandro
Duarte Guardia, Sandra
Bird, Michael I.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Materia Orgánica del Suelo
Carbono
Isótopos
Índice de Superficie Foliar
Plantas Leñosas
Soil Organic Matter
Carbon
Isotopes
Leaf Area Index
Woody Plants
topic Materia Orgánica del Suelo
Carbono
Isótopos
Índice de Superficie Foliar
Plantas Leñosas
Soil Organic Matter
Carbon
Isotopes
Leaf Area Index
Woody Plants
dc.description.none.fl_txt_mv Leaf area index (LAI), a measure of canopy density, is a key variable for modelling and understanding primary productivity, and also water use and energy exchange in forest ecosystems. However, LAI varies considerably with phenology and disturbance patterns, so alternative approaches to quantifying stand‐level processes should be considered. The carbon isotope composition of soil organic matter (δ13CSOM) provides a time‐integrated, productivity‐weighted measure of physiological and stand‐level processes, reflecting biomass deposition from seasonal to decadal time scales. Our primary aim was to explore how well LAI correlates with δ13CSOM across biomes. Using a global data set spanning large environmental gradients in tropical, temperate and boreal forest and woodland, we assess the strength of the correlation between LAI and δ13CSOM; we also assess climatic variables derived from the WorldClim database. We found that LAI was strongly correlated with δ13CSOM, but was also correlated with Mean Temperature of the Wettest Quarter, Mean Precipitation of Warmest Quarter and Annual Solar Radiation across and within biomes. Synthesis. Our results demonstrate that δ13CSOM values can provide spatially explicit estimates of leaf area index (LAI) and could therefore serve as a surrogate for productivity and water use. While δ13CSOM has traditionally been used to reconstruct the relative abundance of C3 versus C4 species, the results of this study demonstrate that within stable C3‐ or C4‐dominated biomes, δ13CSOM can provide additional insights. The fact that LAI is strongly correlated to δ13CSOM may allow for a more nuanced interpretation of ecosystem properties of palaeoecosystems based on palaeosol 13C values.
EEA Santa Cruz
Fil: Ladd, Brenton. Universidad Científica del Sur. Escuela de Agroforestería; Peru. University of New South Wales. School of Biological. Earth and Environmental Sciences, Evolution and Ecology Research Centre; Australia
Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pepper, David A. University of New South Wales. School of Biological, Earth and Environmental Sciences; Australia.
Fil: Silva, Lucas C.R. University of California. Department of Land, Air and Water Resources; Estados Unidos
Fil: Sheil, Douglas. Southern Cross University. School of Environmental Science and Management; Australia. Center for International Forestry Research; Indonesia. Norwegian University of Life Sciences. Department of Ecology and Natural Resource Management; Noruega
Fil: Bonser, Stephen P. University of New South Wales. School of Biological, Earth and Environmental Sciences. Evolution and Ecology Research Centre; Australia
Fil: Laffan, Shawn W. University of New South Wales. School of Biological, Earth and Environmental Sciences; Australia
Fil: Amelung, Wulf. University of Bonn. Soil Science and Soil Ecology. Institute of Crop Science and Resource Conservation (INRES); Alemania
Fil: Ekblad, Alf. Örebro University. School of Science and Technology; Suecia
Fil: Eliasson, Peter. Örebro University. School of Science and Technology; Suecia. Lund University. Department of Physical Geography and Ecosystem Science; Suecia
Fil: Bahamonde, Héctor Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Duarte Guardia, Sandra. Universidad Científica del Sur. Facultad de Ciencias Ambientales; Perú
Fil: Bird, Michael I. Swedish University of Agricultural Sciences. Department of Ecology; Suecia. James Cook University. College of Science, Technology and Engineering and Centre for Tropical Environmental and Sustainability Science; Australia
description Leaf area index (LAI), a measure of canopy density, is a key variable for modelling and understanding primary productivity, and also water use and energy exchange in forest ecosystems. However, LAI varies considerably with phenology and disturbance patterns, so alternative approaches to quantifying stand‐level processes should be considered. The carbon isotope composition of soil organic matter (δ13CSOM) provides a time‐integrated, productivity‐weighted measure of physiological and stand‐level processes, reflecting biomass deposition from seasonal to decadal time scales. Our primary aim was to explore how well LAI correlates with δ13CSOM across biomes. Using a global data set spanning large environmental gradients in tropical, temperate and boreal forest and woodland, we assess the strength of the correlation between LAI and δ13CSOM; we also assess climatic variables derived from the WorldClim database. We found that LAI was strongly correlated with δ13CSOM, but was also correlated with Mean Temperature of the Wettest Quarter, Mean Precipitation of Warmest Quarter and Annual Solar Radiation across and within biomes. Synthesis. Our results demonstrate that δ13CSOM values can provide spatially explicit estimates of leaf area index (LAI) and could therefore serve as a surrogate for productivity and water use. While δ13CSOM has traditionally been used to reconstruct the relative abundance of C3 versus C4 species, the results of this study demonstrate that within stable C3‐ or C4‐dominated biomes, δ13CSOM can provide additional insights. The fact that LAI is strongly correlated to δ13CSOM may allow for a more nuanced interpretation of ecosystem properties of palaeoecosystems based on palaeosol 13C values.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
2019-03-26T15:35:27Z
2019-03-26T15:35:27Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2745.12309
http://hdl.handle.net/20.500.12123/4745
0022-0477
1365-2745
https://doi.org/10.1111/1365-2745.12309
url https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2745.12309
http://hdl.handle.net/20.500.12123/4745
https://doi.org/10.1111/1365-2745.12309
identifier_str_mv 0022-0477
1365-2745
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Journal of Ecology 102 (6) : 1606-1611 (November 2014)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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