Interactive comment on “Manure nitrogen production and application in cropland and rangeland during 1860-2014: A 5-minute gridded global data set for Earth system modeling” by Bowen Zhang et al.

2017 ◽  
Author(s):  
Anonymous
Keyword(s):  
System Modeling ◽  
Earth System ◽  
Data Set ◽  
Earth System Modeling ◽  
Global Data

scholarly journals Manure nitrogen production and application in cropland and rangeland during 1860–2014: A 5-minute gridded global data set for Earth system modeling

2017 ◽  
Author(s):  
Bowen Zhang ◽  
Hanqin Tian ◽  
Chaoqun Lu ◽  
Shree R. S. Dangal ◽  
Jia Yang ◽  
...  
Keyword(s):  
Best Management Practices ◽  
Environmental Sustainability ◽  
Land Surface ◽  
Western Europe ◽  
Management Practices ◽  
System Modeling ◽  
Tropical Region ◽  
Data Set ◽  
Earth System Modeling ◽  
Global Data

Abstract. Given the important role of nitrogen input from livestock system in the terrestrial nutrient cycles and the atmospheric chemical composition, it is vital to have a robust estimation of the magnitude, spatiotemporal variation of manure nitrogen production and the application to cropland and rangeland across the globe. In this study, we used the dataset from Global Livestock Impact Mapping System (GLIMS) in conjunction with country-specific annual livestock population to reconstruct the manure nitrogen production from 1860 to 2014. The estimated manure nitrogen production increased from 21.4 Tg N yr−1 in 1860 to 131.0 Tg N yr−1 in 2014, with a significant increasing trend during 1860–2014 (0.7 Tg N yr−1, p < 0.01). Changes in manure nitrogen production exhibited highly spatial variability and concentrated in several hotspots (e.g., Western Europe, India, Northeast China and Southeast Australia) across the globe over the study period. In the 1860s, northern mid-latitude accounted for ~ 52 % of the global total manure production, while tropical region became the largest share (~ 48 %) in the recent five years (2010–2014). Among all the continents, Asia accounted for over one-fourth of the global manure production during 1860–2014. Cattle dominated the manure nitrogen production and contributed ~ 44 % of the total manure nitrogen production in 2014, followed by goat, sheep, chicken and swine. The manure nitrogen production applied to cropland and rangeland accounts for less than one-fifth of the total manure nitrogen production over the study period. The 5-arc minute gridded global data set of manure nitrogen production generated from this study could be used as an input for global or regional land surface/ecosystem models to evaluate the impacts of manure nitrogen on key biogeochemical processes and water quality, and the best management practices of manure nitrogen applications to cropland and rangeland across the globe could be important for food security and environmental sustainability. Datasets available at: doi:10.1594/PANGAEA.871980.

scholarly journals Spatial and temporal patterns of plantation forests in the United States since the 1930s: an annual and gridded data set for regional Earth system modeling

2017 ◽  
Vol 9 (2) ◽  
pp. 545-556 ◽  
Author(s):  
Guangsheng Chen ◽  
Shufen Pan ◽  
Daniel J. Hayes ◽  
Hanqin Tian
Keyword(s):  
Time Series ◽  
Management Practices ◽  
System Modeling ◽  
Earth System ◽  
Gridded Data ◽  
Inventory Data ◽  
Plantation Forest ◽  
Data Set ◽  
Earth System Modeling ◽  
Plantation Forests

Abstract. Plantation forest area in the conterminous United States (CONUS) ranked second among the world's nations in the land area apportioned to forest plantation. As compared to the naturally regenerated forests, plantation forests demonstrate significant differences in biophysical characteristics, and biogeochemical and hydrological cycles as a result of more intensive management practices. Inventory data have been reported for multiple time periods on plot, state, and regional scales across the CONUS, but the requisite annual and spatially explicit plantation data set over a long-term period for analysis of the role of plantation management on regional or national scales is lacking. Through synthesis of multiple inventory data sources, this study developed methods to spatialize the time series plantation forest and tree species distribution data for the CONUS over the 1928–2012 time period. According to this new data set, plantation forest area increased from near zero in the 1930s to 268.27 thousand km2 in 2012, accounting for 8.65 % of the total forestland area in the CONUS. Regionally, the South contained the highest proportion of plantation forests, accounting for about 19.34 % of total forestland area in 2012. This time series and gridded data set developed here can be readily applied in regional Earth system modeling frameworks for assessing the impacts of plantation management practices on forest productivity, carbon and nitrogen stocks, and greenhouse gases (e.g., CO2, CH4, and N2O) and water fluxes on regional or national scales. The gridded plantation distribution and tree species maps, and the interpolated state-level annual tree planting area and plantation area during 1928–2012, are available from https://doi.org/10.1594/PANGAEA.873558.

scholarly journals A global soil data set for earth system modeling

2014 ◽  
Vol 6 (1) ◽  
pp. 249-263 ◽  
Author(s):  
Wei Shangguan ◽  
Yongjiu Dai ◽  
Qingyun Duan ◽  
Baoyuan Liu ◽  
Hua Yuan
Keyword(s):  
System Modeling ◽  
Earth System ◽  
Data Set ◽  
Earth System Modeling ◽  
Global Soil

scholarly journals A European Network for Earth System Modeling

Eos ◽  
2007 ◽  
Vol 88 (12) ◽  
pp. 143 ◽  
Author(s):  
Sophie Valcke ◽  
Reinhard Budich ◽  
Mick Carter ◽  
Eric Guilyardi ◽  
Marie-Alice Foujols ◽  
...  
Keyword(s):  
System Modeling ◽  
Earth System ◽  
European Network ◽  
Earth System Modeling

scholarly journals Bitwise identical compiling setup: prospective for reproducibility and reliability of Earth system modeling

2016 ◽  
Vol 9 (2) ◽  
pp. 731-748 ◽  
Author(s):  
R. Li ◽  
L. Liu ◽  
G. Yang ◽  
C. Zhang ◽  
B. Wang
Keyword(s):  
System Modeling ◽  
Computer Software ◽  
Scientific Research ◽  
Test Cases ◽  
Earth System ◽  
Earth System Modeling ◽  
Software Bugs ◽  
Fast Development ◽  
Software And Hardware ◽  
Simulation Results

Abstract. Reproducibility and reliability are fundamental principles of scientific research. A compiling setup that includes a specific compiler version and compiler flags is an essential technical support for Earth system modeling. With the fast development of computer software and hardware, a compiling setup has to be updated frequently, which challenges the reproducibility and reliability of Earth system modeling. The existing results of a simulation using an original compiling setup may be irreproducible by a newer compiling setup because trivial round-off errors introduced by the change in compiling setup can potentially trigger significant changes in simulation results. Regarding the reliability, a compiler with millions of lines of code may have bugs that are easily overlooked due to the uncertainties or unknowns in Earth system modeling. To address these challenges, this study shows that different compiling setups can achieve exactly the same (bitwise identical) results in Earth system modeling, and a set of bitwise identical compiling setups of a model can be used across different compiler versions and different compiler flags. As a result, the original results can be more easily reproduced; for example, the original results with an older compiler version can be reproduced exactly with a newer compiler version. Moreover, this study shows that new test cases can be generated based on the differences of bitwise identical compiling setups between different models, which can help detect software bugs in the codes of models and compilers and finally improve the reliability of Earth system modeling.

scholarly journals Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Min Chen ◽  
Chris R. Vernon ◽  
Neal T. Graham ◽  
Mohamad Hejazi ◽  
Maoyi Huang ◽  
...  
Keyword(s):  
Land Use ◽  
Global Change ◽  
System Modeling ◽  
Earth System ◽  
Analysis Model ◽  
Change Analysis ◽  
Rcp Scenarios ◽  
Earth System Modeling ◽  
Modeling Studies ◽  
Important Input

Abstract Global future land use (LU) is an important input for Earth system models for projecting Earth system dynamics and is critical for many modeling studies on future global change. Here we generated a new global gridded LU dataset using the Global Change Analysis Model (GCAM) and a land use spatial downscaling model, named Demeter, under the five Shared Socioeconomic Pathways (SSPs) and four Representative Concentration Pathways (RCPs) scenarios. Compared to existing similar datasets, the presented dataset has a higher spatial resolution (0.05° × 0.05°) and spreads under a more comprehensive set of SSP-RCP scenarios (in total 15 scenarios), and considers uncertainties from the forcing climates. We compared our dataset with the Land Use Harmonization version 2 (LUH2) dataset and found our results are in general spatially consistent with LUH2. The presented dataset will be useful for global Earth system modeling studies, especially for the analysis of the impacts of land use and land cover change and socioeconomics, as well as the characterizing the uncertainties associated with these impacts.

Sign in / Sign up

Export Citation Format

Share Document