Dynamic Land Ecosystem Model (DLEM) estimates of nitrogen inputs impact on global terrestrial major greenhouse gases (N2O, CO2, CH4) exchange and the transfer of nitrogen from land to water for the years 1970 and 2010
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Formats
Shapefile, Text file
Spatial information
Study area
Spatial representation type
Vector
Spatial reference system
WGS 84
Temporal information
Temporal extent
1970-01-01 to 1970-12-31
2010-01-01 to 2010-12-31
Provenance & quality
Dynamic Land Ecosystem Model (DLEM) was used to assess the impacts of nitrogen inputs on GHG (N2O, CO2, CH4) exchange and the transfer of nitrogen from land to water. Gridded data sets used to drive DLEM simulations include climate, CO2 concentration and land use/cover change from NMIP (N2O Model Intercomparison Project), with IMAGE-GNM data on N fertilizer, N deposition and manure N from 1970 to 2010. MATLAB and ARCGIS were used to extract and process DLEM outputs.
Licensing and constraints
This dataset is available under the terms of the INMS
INMS copyright
Please note that this dataset can be downloaded by registered INMS users only.
Citations
Tian, H., Chen, G., Liu, M., Zhang, C., Sun, G., Lu, C., Xu, X., Ren, W., Pan, S., Chappelka, A. (2010) Model estimates of net primary productivity, evapotranspiration, and water use efficiency in the terrestrial ecosystems of the southern United States during 1895–2007. Forest Ecology and Management 259(7), 1311-1327. https://doi.org/10.1016/j.foreco.2009.10.009
Tian, H., Chen, G., Lu, C., Xu, X., Hayes, D. J., Ren, W., Pan, S., Huntzinger, D. N., Wofsy, S. C. (2015) North American terrestrial CO2 uptake largely offset by CH4 and N2O emissions: Toward a full accounting of the greenhouse gas budget. Clim. Chang. 201; 129: 423-426. https://doi.org/10.1007/s10584-014-1072-9
Tian, H., Xu, R., Pan, S., Yao, Y., Bian, Z., Cai, W.-J., Hopkinson, C.S., Justic, D., Lohrenz, S., Lu, C., Ren, W., Yang, J. (2020) Long-Term Trajectory of Nitrogen Loading and Delivery From Mississippi River Basin to the Gulf of Mexico. Global Biogeochemical Cycles 34(5), e2019GB006475. https://doi.org/10.1029/2019GB006475.
Correspondence/contact details
Authors
Boston College
Boston College