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Effects of soil spatial resolution on quantifying CH 4 and N 2 O emissions from rice fields in the Tai Lake region of China by DNDC model
Author(s) -
Yu D. S.,
Yang H.,
Shi X. Z.,
Warner E. D.,
Zhang L. M.,
Zhao Q. G.
Publication year - 2011
Publication title -
global biogeochemical cycles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.512
H-Index - 187
eISSN - 1944-9224
pISSN - 0886-6236
DOI - 10.1029/2010gb003825
Subject(s) - environmental science , sampling (signal processing) , grid , soil water , data set , grid cell , soil science , polygon (computer graphics) , remote sensing , hydrology (agriculture) , geology , mathematics , statistics , computer science , geotechnical engineering , telecommunications , geodesy , filter (signal processing) , frame (networking) , computer vision
Fourteen grid data sets of different cell resolutions were generated, from 0.5 × 0.5 km to 64 × 64 km, to estimate CH 4 and N 2 O emissions from paddy soils in the Tai Lake region of China using the Denitrification‐Decomposition (DNDC) model. The grids were derived from a polygon‐based data set (1:50,000 digital soil map/database), which was the most detailed soil database for the region. Comparison of simulated CH 4 and N 2 O concentrations from input of the 14 grid data sets with the original polygon data demonstrated (1) no distinct variability (relative errors <5%) of the results when grid data sets of cell size ≤2 km were used as input for the DNDC model; (2) slight variability (<10%) in the results when grid data sets with cell size in the range of 2 to 8 km were used as input; and (3) distinct variability (>10%) in the results when grid data sets with cell size of >8 km were applied as input. A grid data set with a cell size of 8 km was found to be optimal based on accuracy and computational efficiency of DNDC simulations. The results can be used as a guideline for optimizing field sampling strategies for locations where there is a lack of or insufficient soil data, whereby soil data can be collected through sampling in cell centers of designed grid frames.

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