Assessment of soil water, carbon and nitrogen cycling in reseeded grassland on the NorthWyke Farm Platform using a process-based model
文献类型：期刊论文
| 作者 | Li, Yuefen2,3; Liu, Yi3,4; Harris, Paul3; Sint, Hadewij3; Murray, Phil J.3; Lee, Michael R. F.1,3; Wu, Lianhai3 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000405981500005 |
| 出版者 | ELSEVIER SCIENCE BV |
| 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. |
入库方式： OAI收割
来源：武汉植物园
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