Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos
Abstract Flooded savannas are valuable and extensive ecosystems in South America, but not widely studied. In this study, we quantify the spatial distribution of soil organic carbon (SOC) content and stocks in the Casanare flooded savannas. We sampled 80 sites at two soil-depth intervals (0-10 and 10...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/131986 |
| _version_ | 1855525586405949440 |
|---|---|
| author | Martin López, Javier Mauricio Verchot, Louis V. Martius, Christopher Silva, Mayesse Aparecida da |
| author_browse | Martin López, Javier Mauricio Martius, Christopher Silva, Mayesse Aparecida da Verchot, Louis V. |
| author_facet | Martin López, Javier Mauricio Verchot, Louis V. Martius, Christopher Silva, Mayesse Aparecida da |
| author_sort | Martin López, Javier Mauricio |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Abstract Flooded savannas are valuable and extensive ecosystems in South America, but not widely studied. In this study, we quantify the spatial distribution of soil organic carbon (SOC) content and stocks in the Casanare flooded savannas. We sampled 80 sites at two soil-depth intervals (0-10 and 10-30 cm), where SOC values ranged from 0.41% in the surface and 0.23% in the sub-surface of drier soils to over 14.50% and 7.51%, in soils that experienced seasonal flooding. Spatial predictions of SOC were done through two digital soil mapping (DSM) approaches: Expert-Knowledge (EK) and Random-Forest (RF). Although both approaches performed well, EK was slightly superior at predicting SOC. Covariates derived from vegetation cover, topography, and soil properties were identified as key drivers in controlling its distribution. Total SOC stocks were 55.07 Mt with a mean density of 83.1±24.3 t·ha -1 in the first 30 cm of soil, with 12.3% of this located in areas that experience long periods of flooding (semi-seasonal savannas) , which represented only 7.9% of the study area (664,752 ha). Although the study area represents only 15% of the total area of the Casanare department, the intensive pressure of human development could result in the reduction of its SOC stocks and the release of important amounts of greenhouse gases into the atmosphere. At regional level, the impact of a large-scale land use conversions of the flooded Llanos del Orinoco ecosystem area (15 Mha) could transform this area in a future source of important global emissions if correct decisions are not taken regarding the land management of the region. |
| format | Journal Article |
| id | CGSpace131986 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1319862025-11-12T05:31:21Z Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos Martin López, Javier Mauricio Verchot, Louis V. Martius, Christopher Silva, Mayesse Aparecida da carbon sequestration wetland soils machine learning soil organic carbon soil surveys-soil mapping Abstract Flooded savannas are valuable and extensive ecosystems in South America, but not widely studied. In this study, we quantify the spatial distribution of soil organic carbon (SOC) content and stocks in the Casanare flooded savannas. We sampled 80 sites at two soil-depth intervals (0-10 and 10-30 cm), where SOC values ranged from 0.41% in the surface and 0.23% in the sub-surface of drier soils to over 14.50% and 7.51%, in soils that experienced seasonal flooding. Spatial predictions of SOC were done through two digital soil mapping (DSM) approaches: Expert-Knowledge (EK) and Random-Forest (RF). Although both approaches performed well, EK was slightly superior at predicting SOC. Covariates derived from vegetation cover, topography, and soil properties were identified as key drivers in controlling its distribution. Total SOC stocks were 55.07 Mt with a mean density of 83.1±24.3 t·ha -1 in the first 30 cm of soil, with 12.3% of this located in areas that experience long periods of flooding (semi-seasonal savannas) , which represented only 7.9% of the study area (664,752 ha). Although the study area represents only 15% of the total area of the Casanare department, the intensive pressure of human development could result in the reduction of its SOC stocks and the release of important amounts of greenhouse gases into the atmosphere. At regional level, the impact of a large-scale land use conversions of the flooded Llanos del Orinoco ecosystem area (15 Mha) could transform this area in a future source of important global emissions if correct decisions are not taken regarding the land management of the region. 2023-08 2023-09-25T08:10:28Z 2023-09-25T08:10:28Z Journal Article https://hdl.handle.net/10568/131986 en Open Access application/pdf Springer Martín-López, J.M.; Verchot, L.V.; Martius, C.; da Silva, M. (2023) Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos. Wetlands 43:65. ISSN: 0277-5212 |
| spellingShingle | carbon sequestration wetland soils machine learning soil organic carbon soil surveys-soil mapping Martin López, Javier Mauricio Verchot, Louis V. Martius, Christopher Silva, Mayesse Aparecida da Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos |
| title | Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos |
| title_full | Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos |
| title_fullStr | Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos |
| title_full_unstemmed | Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos |
| title_short | Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos |
| title_sort | modeling the spatial distribution of soil organic carbon and carbon stocks in the casanare flooded savannas of the colombian llanos |
| topic | carbon sequestration wetland soils machine learning soil organic carbon soil surveys-soil mapping |
| url | https://hdl.handle.net/10568/131986 |
| work_keys_str_mv | AT martinlopezjaviermauricio modelingthespatialdistributionofsoilorganiccarbonandcarbonstocksinthecasanarefloodedsavannasofthecolombianllanos AT verchotlouisv modelingthespatialdistributionofsoilorganiccarbonandcarbonstocksinthecasanarefloodedsavannasofthecolombianllanos AT martiuschristopher modelingthespatialdistributionofsoilorganiccarbonandcarbonstocksinthecasanarefloodedsavannasofthecolombianllanos AT silvamayesseaparecidada modelingthespatialdistributionofsoilorganiccarbonandcarbonstocksinthecasanarefloodedsavannasofthecolombianllanos |