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dc.contributor.author
Duarte-Guardia, Sandra  
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Peri, Pablo Luis  
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Amelung, Wulf  
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Sheil, Douglas  
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Laffan, Shawn W.  
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Borchard, Nils  
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Bird, Michael I.  
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Dieleman, Wouter  
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Pepper, David A.  
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Zutta, Brian  
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Jobbagy, Esteban  
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Silva, Lucas C. R.  
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Bonser, Stephen P.  
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Ladd, Brenton  
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Berhongaray, Gonzalo  
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Piñeiro, Gervasio  
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Martinez, Maria-Jose  
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Cowie, Annette L.  
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Ladd, Brenton  
dc.date.available
2020-09-22T17:20:42Z  
dc.date.issued
2019-03-01  
dc.identifier.citation
Duarte-Guardia, Sandra; Peri, Pablo Luis; Amelung, Wulf; Sheil, Douglas; Laffan, Shawn W.; et al.; Better estimates of soil carbon from geographical data: a revised global approach; Springer; Mitigation And Adaptation Strategies For Global Change; 24; 3; 1-3-2019; 355-372  
dc.identifier.issn
1381-2386  
dc.identifier.uri
http://hdl.handle.net/11336/114558  
dc.description.abstract
Soils hold the largest pool of organic carbon (C) on Earth; yet, soil organic carbon (SOC) reservoirs are not well represented in climate change mitigation strategies because our database for ecosystems where human impacts are minimal is still fragmentary. Here, we provide a tool for generating a global baseline of SOC stocks. We used partial least square (PLS) regression and available geographic datasets that describe SOC, climate, organisms, relief, parent material and time. The accuracy of the model was determined by the root mean square deviation (RMSD) of predicted SOC against 100 independent measurements. The best predictors were related to primary productivity, climate, topography, biome classification, and soil type. The largest C stocks for the top 1 m were found in boreal forests (254 ± 14.3 t ha−1) and tundra (310 ± 15.3 t ha−1). Deserts had the lowest C stocks (53.2 ± 6.3 t ha−1) and statistically similar C stocks were found for temperate and Mediterranean forests (142 - 221 t ha−1), tropical and subtropical forests (94 - 143 t ha−1) and grasslands (99-104 t ha−1). Solar radiation, evapotranspiration, and annual mean temperature were negatively correlated with SOC, whereas soil water content was positively correlated with SOC. Our model explained 49% of SOC variability, with RMSD (0.68) representing approximately 14% of observed C stock variance, overestimating extremely low and underestimating extremely high stocks, respectively. Our baseline PLS predictions of SOC stocks can be used for estimating the maximum amount of C that may be sequestered in soils across biomes.  
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application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
SOIL ORGANIC CARBON  
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GEOGRAPHIC INFORMATION SYSTEMS  
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CLIMATE  
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GLOBAL  
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PRISTINE ECOSYSTEMS  
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BASELINE  
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Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Better estimates of soil carbon from geographical data: a revised global approach  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-05-04T20:51:57Z  
dc.journal.volume
24  
dc.journal.number
3  
dc.journal.pagination
355-372  
dc.journal.pais
Afganistán  
dc.description.fil
Fil: Duarte-Guardia, Sandra. Universidad Nacional de la Patagonia Austral; Argentina  
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Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional.patagonia Sur. Estacion Experimental Agropecuaria Santa Cruz. Agencia de Extension Rural Rio Gallegos.; Argentina  
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Fil: Amelung, Wulf. Universitat Bonn; Alemania  
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Fil: Sheil, Douglas. Norwegian University of Life Sciences. Faculty of Environmental Sciences and Natural Resource Management; Noruega. Center for International Forestry Research (CIFOR); Indonesia  
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Fil: Laffan, Shawn W.. Center for International Forestry Research (CIFOR); Indonesia  
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Fil: Borchard, Nils. Agrosphere Institute (IBG-3); Alemania. Center for International Forestry Research (CIFOR); Indonesia. Ruhr-University Bochum. Institute of Geography; Alemania. Institute Finland. Plant Production, Natural Resources; Finlandia  
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Fil: Bird, Michael I.. James Cook University; Australia  
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Fil: Dieleman, Wouter. James Cook University; Australia  
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Fil: Pepper, David A.. University of New South Wales; Australia. University of Canberra. Institute for Applied Ecology,; Australia  
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Fil: Zutta, Brian. Ministerio del Ambiente; Perú  
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Fil: Jobbagy, Esteban. Universidad Nacional de San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Silva, Lucas C. R.. State University of Oregon; Estados Unidos  
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Fil: Bonser, Stephen P.. University of New South Wales; Australia  
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Fil: Ladd, Brenton. University of New South Wales; Australia  
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Fil: Berhongaray, Gonzalo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Centro de Ecología Aplicada del Litoral. Universidad Nacional del Nordeste. Centro de Ecología Aplicada del Litoral; Argentina  
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Fil: Piñeiro, Gervasio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de la República; Uruguay  
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Fil: Martinez, Maria-Jose. Universidad Científica del Sur. Escuela de Agroforestería; Perú  
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Fil: Cowie, Annette L.. University of New England. School of Environmental and Rural Science; Australia  
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Fil: Ladd, Brenton. Universidad Científica del Sur. Escuela de Agroforestería; Perú  
dc.journal.title
Mitigation And Adaptation Strategies For Global Change  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11027-018-9815-y  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s11027-018-9815-y