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dc.contributor.author
Kraus, David  
dc.contributor.author
Weller, Sebastian Benjamin  
dc.contributor.author
Klatt, Steffen  
dc.contributor.author
Santabarbara, Ignacio  
dc.contributor.author
Hass, Edwin  
dc.contributor.author
Wassmann, Reiner  
dc.contributor.author
Werner, Christian  
dc.contributor.author
Kiese, Ralf  
dc.contributor.author
Butterbach Bahl, Klaus  
dc.date.available
2017-06-09T15:40:45Z  
dc.date.issued
2016-05  
dc.identifier.citation
Kraus, David; Weller, Sebastian Benjamin; Klatt, Steffen; Santabarbara, Ignacio; Hass, Edwin; et al.; How well can we assess impacts of agricultural land management changes on the total greenhouse gas balance (CO2, CH4 and N2O) of tropical rice-cropping systems with a biogeochemical model?; Elsevier Science; Agriculture, Ecosystems And Environment; 224; 5-2016; 104-115  
dc.identifier.issn
0167-8809  
dc.identifier.uri
http://hdl.handle.net/11336/17874  
dc.description.abstract
Paddy rice is the main cropping system in Southeast Asia. However, water scarcity arising from competition from other sectors, rainfall variability and climate change increasingly challenges global rice production. One option to adapt to lower water availability is switching from paddy rice to less irrigation intensive upland cropping systems. Such land management change (LMC) is likely to significantly affect ecosystem carbon and nitrogen cycling and its greenhouse gas (GHG) balance. This study evaluates how well the ecosystem model LandscapeDNDC is able to simulate observed emissions of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) from different tropical cropping rotations, i.e., double- and triple-cropped paddy rice, aerobic rice–paddy rice and maize–paddy rice (rice: O. sativa, maize: Zea mays) and how management changes to rice dominated lowland systems will affect the GHG balance on short (a few years) and long (several decades) time scales. LandscapeDNDC predicts seasonal emissions of CH4 and N2O across different cropping rotations (including LMC) with R2 values of 0.85 and 0.78 and average underestimations of 15 and 14%, respectively. In addition to emissions of CH4 and N2O, LandscapeDNDC also captures the long-term development of soil organic carbon (SOC). Soil oxygen status, growth of photosynthetic active aquatic biomass as well as decomposability of harvest residues significantly influence SOC development. Simulation results demonstrate that short-term GHG balances after LMC considerably differ from long-term balances. Simulated total GHG emissions three years after LMC are highest for upland crop − paddy rice rotations due to pronounced decomposition of soil organic carbon. In contrast, the total GHG emissions are highest for double cropping of paddy rice and are clearly dominated by CH4 emissions over a longer period of several decades. Simulation results suggest that approx. 2.8–3.4 t C ha−1 yr−1 residue incorporation after harvest is needed to achieve stable SOC stocks in mixed upland crop–paddy rice systems after LMC from double-cropped paddy rice systems.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Landscapedndc  
dc.subject
Methane  
dc.subject
Notrous Oxide  
dc.subject
Soil Organic Carbon  
dc.subject
Rice  
dc.subject
Land Management Change  
dc.subject.classification
Geoquímica y Geofísica  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
How well can we assess impacts of agricultural land management changes on the total greenhouse gas balance (CO2, CH4 and N2O) of tropical rice-cropping systems with a biogeochemical model?  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-06-06T14:42:43Z  
dc.journal.volume
224  
dc.journal.pagination
104-115  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Kraus, David. Karlsruhe Institute of Technology. Institute of Meteorology and Climate Research; Alemania  
dc.description.fil
Fil: Weller, Sebastian Benjamin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina. Karlsruhe Institute of Technology. Institute of Meteorology and Climate Research; Alemania  
dc.description.fil
Fil: Klatt, Steffen. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research; Alemania  
dc.description.fil
Fil: Santabarbara, Ignacio. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research; Alemania  
dc.description.fil
Fil: Hass, Edwin. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research; Alemania  
dc.description.fil
Fil: Wassmann, Reiner. International Rice Research Institute; Filipinas. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research; Alemania  
dc.description.fil
Fil: Werner, Christian. Senckenberg Biodiversity and Climate Research Centre; Alemania  
dc.description.fil
Fil: Kiese, Ralf. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research; Alemania  
dc.description.fil
Fil: Butterbach Bahl, Klaus. Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research; Alemania. International Livestock Research Institute; Alemania  
dc.journal.title
Agriculture, Ecosystems And Environment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0167880916301839  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.agee.2016.03.037