Assessment of soil water, carbon and nitrogen cycling in reseeded grassland on the NorthWyke Farm Platform using a process-based model

doi:10.1016/j.scitotenv.2017.06.012

CORC > 武汉植物园 > 中国科学院武汉植物园

	Assessment of soil water, carbon and nitrogen cycling in reseeded grassland on the NorthWyke Farm Platform using a process-based model
	Li, Yuefen 2,3; Liu, Yi 3,4; Harris, Paul 3; Sint, Hadewij 3; Murray, Phil J.3; Lee, Michael R. F.1,3; Wu, Lianhai 3
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2017-12-15
卷号	603 页码:27-37
关键词	SPACSYS North Wyke Farm Platform Reseeding Soil water Nutrient cycling
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2017.06.012
英文摘要	The North Wyke Farm Platform (NWFP) generates large volumes of temporally-indexed data that provides a valuable test-bed for agricultural mathematical models in temperate grasslands. In our study, we used the primary datasets generated from the NWFP (https://nwfp.rothamsted.ac.uk/) to validate the SPACSYS model in terms of the dynamics of water loss and forage dry matter yield estimated through cutting. The SPACSYS model is capable of simulating soil water, carbon (C) and nitrogen (N) balance in the soil-plant-atmosphere system. The validated model was then used to simulate the responses of soil water, C and N to reseeding grass cultivars with either high sugar (Lolium perenne L cv. AberMagic) or deep rooting (Festulotium cv. Prior) traits. Simulation results demonstrated that the SPACSYS model could predict reliably soil water, C and N cycling in reseeded grassland. Compared to AberMagic, the Nor grass could fix more C in the second year following reseeding, whereas less C was lost through soil respiration in the first transition year. In comparison to the grass cifitivar of the permanent pasture that existed before reseeding, both grasses reduced N losses through runoff and conhibuted to reducing water loss, especially Prior in relation to the latter. The SPACSYS model could predict these differences as supported by the rich dataset from the NWFP, providing a tool for future predictions on less characterized pasture. (C) 2017 The Authors. Published by Elsevier B.V. This is an open access articleRN the CC BY license
资助项目	Biotechnology and Biological Sciences Research Council (BBSRC)[BB/1004308] ; Biotechnology and Biological Sciences Research Council (BBSRC)[BB/L008548/1] ; China Scholarship Council[201506175099] ; National Natural Science Foundation of China[31670528]
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000405981500005
内容类型	期刊论文
源URL	[http://202.127.146.157/handle/2RYDP1HH/1271]
专题	中国科学院武汉植物园
通讯作者	Wu, Lianhai
作者单位	1.Univ Bristol, Sch Vet Sci, Langford B540 5DU, Somerset, England 2.Jilin Univ, Coll Earth Sci, Changchun 130061, Jilin, Peoples R China 3.Rothamsted Res, Sustainable Soils & Grassland Syst Dept, Okehampton EX20 2SB, Devon, England 4.Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Wuhan 430074, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Li, Yuefen,Liu, Yi,Harris, Paul,et al. Assessment of soil water, carbon and nitrogen cycling in reseeded grassland on the NorthWyke Farm Platform using a process-based model[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2017,603:27-37.
APA	Li, Yuefen.,Liu, Yi.,Harris, Paul.,Sint, Hadewij.,Murray, Phil J..,...&Wu, Lianhai.(2017).Assessment of soil water, carbon and nitrogen cycling in reseeded grassland on the NorthWyke Farm Platform using a process-based model.SCIENCE OF THE TOTAL ENVIRONMENT,603,27-37.
MLA	Li, Yuefen,et al."Assessment of soil water, carbon and nitrogen cycling in reseeded grassland on the NorthWyke Farm Platform using a process-based model".SCIENCE OF THE TOTAL ENVIRONMENT 603(2017):27-37.