| Comparison of net ecosystem carbon exchange estimation in a mixed temperate forest using field eddy covariance and MODIS data | |
Wang, YD; Tang, XG; Yu, LF; Hou, XY ; Munger, JW; Wang, YD (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. ydwang@yic.ac.cn
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| 发表期刊 | SPRINGERPLUS
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| ISSN | 2193-1801 |
| 2016-04-21 | |
| 卷号 | 5 |
| 关键词 | Nee Eddy Covariance Modis Par Evi Lst |
| DOI | 10.1186/s40064-016-2134-4 |
| 产权排序 | [Wang, Yuandong] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China; [Wang, Yuandong; Yu, Lianfang] Gannan Normal Univ, Coll Geog & Planning, Ganzhou 341000, Peoples R China; [Tang, Xuguang] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Peoples R China; [Hou, Xiyong] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Munger, J. William] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA |
| 作者部门 | 海岸带信息集成与综合管理实验室 |
| 英文摘要 | Quantification of net ecosystem carbon exchange (NEE) between the atmosphere and vegetation is of great importance for regional and global studies of carbon balance. The eddy covariance technique can quantify carbon budgets and the effects of environmental controls for many forest types across the continent but it only provides integrated CO2 flux measurements within tower footprints and need to be scaled up to large areas in combination with remote sensing observations. In this study we compare a multiple-linear regression (MR) model which relates enhanced vegetation index and land surface temperature derived from the moderate resolution imaging spectroradiometer (MODIS), and photosynthetically active radiation with the site-level NEE, for estimating carbon flux exchange between the ecosystem and the environment at the deciduous-dominated Harvard Forest to three other methods proposed in the literature. Six years (2001-2006) of eddy covariance and MODIS data are used and results show that the MR model has the best performance for both training (20012004, R-2 = 0.84, RMSE = 1.33 g Cm-2 day(-1)) and validation (2005-2006, R-2 = 0.76, RMSE = 1.54 g Cm-2 day(-1)) datasets comparing to the other ones. It provides the potential to estimate carbon flux exchange across different ecosystems at various time intervals for scaling up plot-level NEE of CO2 to large spatial areas. |
| 文章类型 | Article |
| 资助机构 | Science and Technology Planning Project of Jiangxi Provincial Education Department(GJJ151016) ; CAS strategic Priority Research Program Grant-Climate Change: Carbon Budget and Relevant(XDA05130703) ; Knowledge Innovation of the Chinese Academy of Sciences(KZCX2-YW-224) |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | GROSS PRIMARY PRODUCTION ; LAND-SURFACE TEMPERATURE ; SPATIAL VARIABILITY ; VEGETATION INDEXES ; USE EFFICIENCY ; NEW-MODEL ; FLUX ; PRODUCTIVITY ; RESPIRATION ; SENSITIVITY |
| 研究领域[WOS] | Science & Technology - Other Topics |
| WOS记录号 | WOS:000375702500001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/17066 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 中国科学院海岸带环境过程与生态修复重点实验室 |
| 通讯作者 | Wang, YD (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. ydwang@yic.ac.cn |
| 作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci 2.Gannan Normal Univ, Coll Geog & Planning 3.Chinese Acad Sci, Nanjing Inst Geog & Limnol 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res 5.Harvard Univ, Sch Engn & Appl Sci |
| 推荐引用方式 GB/T 7714 | Wang, YD,Tang, XG,Yu, LF,et al. Comparison of net ecosystem carbon exchange estimation in a mixed temperate forest using field eddy covariance and MODIS data[J]. SPRINGERPLUS,2016,5. |
| APA | Wang, YD,Tang, XG,Yu, LF,Hou, XY,Munger, JW,&Wang, YD .(2016).Comparison of net ecosystem carbon exchange estimation in a mixed temperate forest using field eddy covariance and MODIS data.SPRINGERPLUS,5. |
| MLA | Wang, YD,et al."Comparison of net ecosystem carbon exchange estimation in a mixed temperate forest using field eddy covariance and MODIS data".SPRINGERPLUS 5(2016). |
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