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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/4745
Ver los metadatos del registro completo
id |
INTADig_448c17a8b9484f3f7326c5879ebf8b17 |
---|---|
oai_identifier_str |
oai:localhost:20.500.12123/4745 |
network_acronym_str |
INTADig |
repository_id_str |
l |
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 http://purl.org/coar/resource_type/c_6501 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 http://creativecommons.org/licenses/by-nc-sa/4.0/ 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 |
_version_ |
1844619132016787456 |
score |
12.559606 |