气候变化领域集成服务门户(CCPortal): Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management

CCPortal

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, Jinfeng; Ciais, Philippe; Herrero, Mario; Havlik, Petr; Campioli, Matteo; Zhang, Xianzhou; Bai, Yongfei; Viovy, Nicolas; Joiner, Joanna; Wang, Xuhui; Peng, Shushi; Yue, Chao; Piao, Shilong; Wang, Tao; Hauglustaine, Didier A.; Soussana, Jean-Francois; Peregon, Anna; Kosykh, Natalya; Mironycheva-Tokareva, Nina
通讯作者	Chang, JF (通讯作者)
发表日期	2016
ISSN	1726-4170
EISSN	1726-4189
起始页码	3757
结束页码	3776
卷号	13 期号:12
英文摘要	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 0.5A degrees by 0.5A degrees. 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, risingaEuro-CO2 concentration, and changes in nitrogen fertilization. The global area of managed grassland obtained in this study increases from 6.1aEuro-aEuro parts per thousand x aEuro-10(6)aEuro-km(2) in 1901 to 12.3aEuro-aEuro parts per thousand x aEuro-10(6)aEuro-km(2) 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.
关键词	PASTURE SIMULATION-MODEL NET PRIMARY PRODUCTION LAND-COVER CLIMATE CARBON CO2 NITROGEN TEMPERATE PHOTOSYNTHESIS AGRICULTURE
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology
WOS类目	Ecology ; Geosciences, Multidisciplinary
WOS记录号	WOS:000379427700016
来源期刊	BIOGEOSCIENCES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258877
推荐引用方式 GB/T 7714	Chang, Jinfeng,Ciais, Philippe,Herrero, Mario,et al. Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management[J]. 中国科学院青藏高原研究所,2016,13(12).
APA	Chang, Jinfeng.,Ciais, Philippe.,Herrero, Mario.,Havlik, Petr.,Campioli, Matteo.,...&Mironycheva-Tokareva, Nina.(2016).Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management.BIOGEOSCIENCES,13(12).
MLA	Chang, Jinfeng,et al."Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management".BIOGEOSCIENCES 13.12(2016).