全球智库信息集成服务系统(G2TT): Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management.

G2TT

来源类型	Article
规范类型	其他
DOI	10.5194/bg-13-3757-2016
	Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management.
	Chang J; Ciais P; Herrero M; Havlik P; Campioli M; Zhang X; Bai Y; Viovy N
发表日期	2016
出处	Biogeosciences 13 (12): 3757-3776
出版年	2016
语种	英语
摘要	Grassland management type (grazed or mown) and intensity (intensive or extensive) play a crucial role in the greenhouse gas balance and surface energy budget of this biome, both at field scale and at large spatial scale. However, global gridded historical information on grassland management intensity is not available. Combining modelled grass-biomass productivity with statistics of the grass-biomass demand by livestock, we reconstruct gridded maps of grassland management intensity from 1901 to 2012. These maps include the minimum area of managed vs. maximum area of unmanaged grasslands and the fraction of mown vs. grazed area at a resolution of 0.5° by 0.5°. The grass-biomass demand is derived from a livestock dataset for 2000, extended to cover the period 1901–2012. The grass-biomass supply (i.e. forage grass from mown grassland and biomass grazed) is simulated by the process-based model ORCHIDEE-GM driven by historical climate change, rising CO2 concentration, and changes in nitrogen fertilization. The global area of managed grassland obtained in this study increases from 6.1  ×  106 km2 in 1901 to 12.3  ×  106 km2 in 2000, although the expansion pathway varies between different regions. ORCHIDEE-GM also simulated augmentation in global mean productivity and herbage-use efficiency over managed grassland during the 20th century, indicating a general intensification of grassland management at global scale but with regional differences. The gridded grassland management intensity maps are model dependent because they depend on modelled productivity. Thus specific attention was given to the evaluation of modelled productivity against a series of observations from site-level net primary productivity (NPP) measurements to two global satellite products of gross primary productivity (GPP) (MODIS-GPP and SIF data). Generally, ORCHIDEE-GM captures the spatial pattern, seasonal cycle, and interannual variability of grassland productivity at global scale well and thus is appropriate for global applications presented here.
主题	Ecosystems Services and Management (ESM)
关键词	Livestock Production, Grassland Management, Greenhouse Gas Balance, Grass Biomass, ORCHIDEE-GM
URL	http://pure.iiasa.ac.at/id/eprint/13359/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/130503
推荐引用方式 GB/T 7714	Chang J,Ciais P,Herrero M,et al. Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management.. 2016.

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