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

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...

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Autores principales: Ladd, Brenton, Peri, Pablo Luis, Pepper, D.A, Silva, L.C.R., Sheil, D., Bonser, S.P., Amelung, Wulf, Ekblad, A, Eliasson, P, Bahamonde, H, Duarte Guardia, Sandra, Bird, M., Laffan, S.W.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Wiley 2014
Materias:
Acceso en línea:https://hdl.handle.net/10568/95822
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author Ladd, Brenton
Peri, Pablo Luis
Pepper, D.A
Silva, L.C.R.
Sheil, D.
Bonser, S.P.
Amelung, Wulf
Ekblad, A
Eliasson, P
Bahamonde, H
Duarte Guardia, Sandra
Bird, M.
Laffan, S.W.
author_browse Amelung, Wulf
Bahamonde, H
Bird, M.
Bonser, S.P.
Duarte Guardia, Sandra
Ekblad, A
Eliasson, P
Ladd, Brenton
Laffan, S.W.
Pepper, D.A
Peri, Pablo Luis
Sheil, D.
Silva, L.C.R.
author_facet Ladd, Brenton
Peri, Pablo Luis
Pepper, D.A
Silva, L.C.R.
Sheil, D.
Bonser, S.P.
Amelung, Wulf
Ekblad, A
Eliasson, P
Bahamonde, H
Duarte Guardia, Sandra
Bird, M.
Laffan, S.W.
author_sort Ladd, Brenton
collection Repository of Agricultural Research Outputs (CGSpace)
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.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.
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spelling CGSpace958222025-06-17T08:24:21Z Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes Ladd, Brenton Peri, Pablo Luis Pepper, D.A Silva, L.C.R. Sheil, D. Bonser, S.P. Amelung, Wulf Ekblad, A Eliasson, P Bahamonde, H Duarte Guardia, Sandra Bird, M. Laffan, S.W. canopy carbon soil organic matter biomass climate change ecosystems 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.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. 2014-11 2018-07-03T11:03:40Z 2018-07-03T11:03:40Z Journal Article https://hdl.handle.net/10568/95822 en Limited Access Wiley Ladd, B., Peri, P.L., Pepper, D.A., Silva, L.C.R., Sheil, D., Bonser, S.P,, Laffan, S.W., Amelung, W., Ekblad, A., Eliasson, P., Bahamonde, H., Duarte-Guardia, S., Bird, M. . 2014. Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes Journal of Ecology, 102 (6) : 1606-1611. https://doi.org/10.1111/1365-2745.12309
spellingShingle canopy
carbon
soil organic matter
biomass
climate change
ecosystems
Ladd, Brenton
Peri, Pablo Luis
Pepper, D.A
Silva, L.C.R.
Sheil, D.
Bonser, S.P.
Amelung, Wulf
Ekblad, A
Eliasson, P
Bahamonde, H
Duarte Guardia, Sandra
Bird, M.
Laffan, S.W.
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
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_short 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
topic canopy
carbon
soil organic matter
biomass
climate change
ecosystems
url https://hdl.handle.net/10568/95822
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