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resumen

Resumen
Aim: Concern about climate change, with the subsequent emergence of carbonmarkets and policy initiatives such as REDD (reducing carbon emissions bydecreasing deforestation and forest degradation), have focused attention on assess-ing and monitoring terrestrial carbon reserves. Most effort has focused on above-ground forest biomass. Soil has received less attention despite containing morecarbon than above-ground terrestrial biomass and the atmosphere [ver mas...]
dc.contributor.authorLadd, Brenton
dc.contributor.authorLaffan, Shawn W.
dc.contributor.authorAmelung, Wulf
dc.contributor.authorPeri, Pablo Luis
dc.contributor.authorSilva, Lucas C. R.
dc.contributor.authorGervassi, Pina
dc.contributor.authorBonser, Stephen P.
dc.contributor.authorSheil, Douglas
dc.contributor.authorNavall, Jorge Marcelo
dc.date.accessioned2018-06-18T17:48:42Z
dc.date.available2018-06-18T17:48:42Z
dc.date.issued2013-04
dc.identifier.issn1466-8238
dc.identifier.otherhttps://doi.org/10.1111/j.1466-8238.2012.00799.x
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2652
dc.description.abstractAim: Concern about climate change, with the subsequent emergence of carbonmarkets and policy initiatives such as REDD (reducing carbon emissions bydecreasing deforestation and forest degradation), have focused attention on assess-ing and monitoring terrestrial carbon reserves. Most effort has focused on above-ground forest biomass. Soil has received less attention despite containing morecarbon than above-ground terrestrial biomass and the atmosphere combined. Ouraim was to explore how well soil carbon concentration could be estimated on threecontinents from existing climate, topography and vegetation-cover data Methods: Soil carbon concentration and leaf area index (LAI) as well as GIS-derived climate and topography variables for 65 temperate and 43 tropical, forestand woodland ecosystems, were either directly measured or estimated from freelyavailable global datasets. We then used multiple regressions to determine how wellsoil carbon concentration could be predicted from LAI, climate and topography ata given site. We compared our measurements with top soil carbon estimates fromthe Food and Agriculture Organization of the United Nations (FAO) harmonizedworld soil map. Results: Our empirical model based on estimates of temperature, water availabil-ity and plant productivity provided a good estimate of soil carbon concentrations(R2= 0.79). In contrast, the values of topsoil carbon concentrations from the FAOharmonized world soil map correlated poorly with the measured values of soilcarbon concentration (R2= 0.0011). Main conclusions: The lack of correlation between the measured values of soilcarbon and the values from the FAO harmonized world soil map indicate thatsubstantial improvements in the production of soil carbon maps are needed andpossible. Our results demonstrate that the inclusion of freely available GIS dataoffers improved estimates of soil carbon and will allow the creation of moreaccurate soil carbon maps.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceGlobal ecology and biogeography 22 (4) : 461–469. (2013)eng
dc.subjectCarbonoes_AR
dc.subjectSueloes_AR
dc.subjectBiomasa Arbórea por Encima del Sueloes_AR
dc.subjectClimaes_AR
dc.subjectCobertura Verdees_AR
dc.subjectSistemas de Información Geográficaes_AR
dc.subjectBosqueses_AR
dc.subjectForestseng
dc.subjectGeographical Information Systemseng
dc.subjectLive Mulcheseng
dc.subjectClimateeng
dc.subjectAbove Ground Tree Biomasseng
dc.subjectSoileng
dc.subjectCarboneng
dc.subject.otherIndice de Area Foliares_AR
dc.subject.otherREDDes_AR
dc.titleEstimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continentseng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEEA Santa Cruzes_AR
dc.description.filFil: Ladd, Brenton. University of Bonn. Soil Science and Soil Ecology. Institute of Crop Science and Resource Conservation; Alemania. University of New South Wales. School of Biological, Earth and Environmental Sciences. Evolution and Ecology Research Centre; Australiaes_AR
dc.description.filFil: Laffan, Shawn W. University of New South Wales. School of Biological,Earth and Environmental Sciences; Australiaes_AR
dc.description.filFil: Amelung, Wulf. University of Bonn. Soil Science and Soil Ecology. Institute of Crop Science and Resource Conservation; Alemaniaes_AR
dc.description.filFil: 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; Argentinaes_AR
dc.description.filFil: Silva, Lucas C. R. University of California. Department of Land, Air and Water Resources; Estados Unidos. University of Guelph. Department of EnvironmentalBiology. Global Ecological Change Laboratory; Canadaes_AR
dc.description.filFil: Gervassi, Pina. Forest Stewardship Council; Australiaes_AR
dc.description.filFil: Bonser, Stephen P. University of New South Wales. School of Biological, Earth and Environmental Sciences. Evolution and Ecology Research Centre; Australiaes_AR
dc.description.filFil: Navall, Jorge Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argenitnaes_AR
dc.description.filFil: Sheil, Douglas. Mbarara University of Science and Technology. Institute of Tropical Forest Conservation; Uganda. Center for International Forestry Research; Indonesia. Southern Cross University. School of Environmental Science and Management; Australiaes_AR
dc.subtypecientifico


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