A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems
Background and aims Replacing paddy rice by upland systems such as maize cultivation is an on-going trend in SE Asia caused by increasing water scarcity and higher demand for meat. How such land management changes will feedback on soil C and N cycles and soil greenhouse gas emissions is not well und...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2015
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/51630 |
| _version_ | 1855518027510972416 |
|---|---|
| author | Kraus, David Weller, Sebastian Klatt, Steffen Haas, Edwin Wassmann, Reiner Kiese, Ralf Butterbach-Bahl, Klaus |
| author_browse | Butterbach-Bahl, Klaus Haas, Edwin Kiese, Ralf Klatt, Steffen Kraus, David Wassmann, Reiner Weller, Sebastian |
| author_facet | Kraus, David Weller, Sebastian Klatt, Steffen Haas, Edwin Wassmann, Reiner Kiese, Ralf Butterbach-Bahl, Klaus |
| author_sort | Kraus, David |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Background and aims Replacing paddy rice by upland systems such as maize cultivation is an on-going trend in SE Asia caused by increasing water scarcity and higher demand for meat. How such land management changes will feedback on soil C and N cycles and soil greenhouse gas emissions is not well understood at present. Methods A new LandscapeDNDC biogeochemical module was developed that allows the effect of land management changes on soil C and N cycle to be simulated. The new module is applied in combination with further modules simulating microclimate and crop growth and evaluated against observations from field experiments. Results The model simulations agree well with observed dynamics of CH 4 emissions in paddy rice depending on changes in climatic conditions and agricultural management. Magnitude and peak emission periods of N 2 O from maize cultivation are simulated correctly, though there are still deficits in reproducing day-to-day dynamics. These shortcomings are most likely related to simulated soil hydrology and may only be resolved if LandscapeDNDC is coupled to more complex hydrological models. Conclusions LandscapeDNDC allows for simulation of changing land management practices in SE Asia. The possibility to couple LandscapeDNDC to more complex hydrological models is a feature needed to better understand related effects on soil-atmosphere-hydrosphere interactions. |
| format | Journal Article |
| id | CGSpace51630 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace516302026-01-06T12:03:45Z A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems Kraus, David Weller, Sebastian Klatt, Steffen Haas, Edwin Wassmann, Reiner Kiese, Ralf Butterbach-Bahl, Klaus crops farming systems Background and aims Replacing paddy rice by upland systems such as maize cultivation is an on-going trend in SE Asia caused by increasing water scarcity and higher demand for meat. How such land management changes will feedback on soil C and N cycles and soil greenhouse gas emissions is not well understood at present. Methods A new LandscapeDNDC biogeochemical module was developed that allows the effect of land management changes on soil C and N cycle to be simulated. The new module is applied in combination with further modules simulating microclimate and crop growth and evaluated against observations from field experiments. Results The model simulations agree well with observed dynamics of CH 4 emissions in paddy rice depending on changes in climatic conditions and agricultural management. Magnitude and peak emission periods of N 2 O from maize cultivation are simulated correctly, though there are still deficits in reproducing day-to-day dynamics. These shortcomings are most likely related to simulated soil hydrology and may only be resolved if LandscapeDNDC is coupled to more complex hydrological models. Conclusions LandscapeDNDC allows for simulation of changing land management practices in SE Asia. The possibility to couple LandscapeDNDC to more complex hydrological models is a feature needed to better understand related effects on soil-atmosphere-hydrosphere interactions. 2015-01 2014-11-24T09:01:26Z 2014-11-24T09:01:26Z Journal Article https://hdl.handle.net/10568/51630 en Limited Access Springer Kraus, D., Weller, S., Klatt, S., Haas, E., Wassmann, R., Kiese, R. and Butterbach-Bahl, K. 2014. A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems. Plant and Soil (2014): 1-25. |
| spellingShingle | crops farming systems Kraus, David Weller, Sebastian Klatt, Steffen Haas, Edwin Wassmann, Reiner Kiese, Ralf Butterbach-Bahl, Klaus A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems |
| title | A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems |
| title_full | A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems |
| title_fullStr | A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems |
| title_full_unstemmed | A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems |
| title_short | A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems |
| title_sort | new landscapedndc biogeochemical module to predict ch4 and n2o emissions from lowland rice and upland cropping systems |
| topic | crops farming systems |
| url | https://hdl.handle.net/10568/51630 |
| work_keys_str_mv | AT krausdavid anewlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT wellersebastian anewlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT klattsteffen anewlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT haasedwin anewlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT wassmannreiner anewlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT kieseralf anewlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT butterbachbahlklaus anewlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT krausdavid newlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT wellersebastian newlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT klattsteffen newlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT haasedwin newlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT wassmannreiner newlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT kieseralf newlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems AT butterbachbahlklaus newlandscapedndcbiogeochemicalmoduletopredictch4andn2oemissionsfromlowlandriceanduplandcroppingsystems |