Estimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continents
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 focuse...
| Autores principales: | , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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2018
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/2652 https://doi.org/10.1111/j.1466-8238.2012.00799.x |
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| author | Ladd, Brenton Laffan, Shawn W. Amelung, Wulf Peri, Pablo Luis Silva, Lucas C. R. Gervassi, Pina Bonser, Stephen P. Sheil, Douglas Navall, Jorge Marcelo |
| author_browse | Amelung, Wulf Bonser, Stephen P. Gervassi, Pina Ladd, Brenton Laffan, Shawn W. Navall, Jorge Marcelo Peri, Pablo Luis Sheil, Douglas Silva, Lucas C. R. |
| author_facet | Ladd, Brenton Laffan, Shawn W. Amelung, Wulf Peri, Pablo Luis Silva, Lucas C. R. Gervassi, Pina Bonser, Stephen P. Sheil, Douglas Navall, Jorge Marcelo |
| author_sort | Ladd, Brenton |
| collection | INTA Digital |
| description | 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 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. |
| format | Artículo |
| id | INTA2652 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA26522018-06-18T18:03:46Z Estimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continents Ladd, Brenton Laffan, Shawn W. Amelung, Wulf Peri, Pablo Luis Silva, Lucas C. R. Gervassi, Pina Bonser, Stephen P. Sheil, Douglas Navall, Jorge Marcelo Carbono Suelo Biomasa Arbórea por Encima del Suelo Clima Cobertura Verde Sistemas de Información Geográfica Bosques Forests Geographical Information Systems Live Mulches Climate Above Ground Tree Biomass Soil Carbon Indice de Area Foliar REDD 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 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. EEA Santa Cruz Fil: 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; 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; Alemania 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: 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; Canada Fil: Gervassi, Pina. Forest Stewardship Council; Australia Fil: Bonser, Stephen P. University of New South Wales. School of Biological, Earth and Environmental Sciences. Evolution and Ecology Research Centre; Australia Fil: Navall, Jorge Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argenitna Fil: 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; Australia 2018-06-18T17:48:42Z 2018-06-18T17:48:42Z 2013-04 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/2652 1466-8238 https://doi.org/10.1111/j.1466-8238.2012.00799.x eng info:eu-repo/semantics/restrictedAccess application/pdf Global ecology and biogeography 22 (4) : 461–469. (2013) |
| spellingShingle | Carbono Suelo Biomasa Arbórea por Encima del Suelo Clima Cobertura Verde Sistemas de Información Geográfica Bosques Forests Geographical Information Systems Live Mulches Climate Above Ground Tree Biomass Soil Carbon Indice de Area Foliar REDD Ladd, Brenton Laffan, Shawn W. Amelung, Wulf Peri, Pablo Luis Silva, Lucas C. R. Gervassi, Pina Bonser, Stephen P. Sheil, Douglas Navall, Jorge Marcelo Estimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continents |
| title | Estimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continents |
| title_full | Estimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continents |
| title_fullStr | Estimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continents |
| title_full_unstemmed | Estimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continents |
| title_short | Estimates of soil carbon concentration in tropical and temperate forest and woodland from available GIS data on three continents |
| title_sort | estimates of soil carbon concentration in tropical and temperate forest and woodland from available gis data on three continents |
| topic | Carbono Suelo Biomasa Arbórea por Encima del Suelo Clima Cobertura Verde Sistemas de Información Geográfica Bosques Forests Geographical Information Systems Live Mulches Climate Above Ground Tree Biomass Soil Carbon Indice de Area Foliar REDD |
| url | http://hdl.handle.net/20.500.12123/2652 https://doi.org/10.1111/j.1466-8238.2012.00799.x |
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