Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales
文献类型：期刊论文
| 作者 | Wu, Xiaocui1,2; Ju, Weimin1,2; Zhou, Yanlian3,4; He, Mingzhu5; Law, Beverly E.6; Black, T. Andrew7; Margolis, Hank A.8; Cescatti, Alessandro9; Gu, Lianhong10; Montagnani, Leonardo11,12 |
| 刊名 | remote sensing
 |
| 出版日期 | 2015 |
| 卷号 | 7期号:3页码:2238-2278 |
| 中文摘要 | the reliable simulation of gross primary productivity (gpp) at various spatial and temporal scales is of significance to quantifying the net exchange of carbon between terrestrial ecosystems and the atmosphere. this study aimed to verify the ability of a nonlinear two-leaf model (tl-luen), a linear two-leaf model (tl-lue), and a big-leaf light use efficiency model (mod17) to simulate gpp at half-hourly, daily and 8-day scales using gpp derived from 58 eddy-covariance flux sites in asia, europe and north america as benchmarks. model evaluation showed that the overall performance of tl-luen was slightly but not significantly better than tl-lue at half-hourly and daily scale, while the overall performance of both tl-luen and tl-lue were significantly better (p < 0.0001) than mod17 at the two temporal scales. the improvement of tl-luen over tl-lue was relatively small in comparison with the improvement of tl-lue over mod17. however, the differences between tl-luen and mod17, and tl-lue and mod17 became less distinct at the 8-day scale. as for different vegetation types, tl-luen and tl-lue performed better than mod17 for all vegetation types except crops at the half-hourly scale. at the daily and 8-day scales, both tl-luen and tl-lue outperformed mod17 for forests. however, tl-luen had a mixed performance for the three non-forest types while tl-lue outperformed mod17 slightly for all these non-forest types at daily and 8-day scales. the better performance of tl-luen and tl-lue for forests was mainly achieved by the correction of the underestimation/overestimation of gpp simulated by mod17 under low/high solar radiation and sky clearness conditions. tl-luen is more applicable at individual sites at the half-hourly scale while tl-lue could be regionally used at half-hourly, daily and 8-day scales. mod17 is also an applicable option regionally at the 8-day scale. |
| 英文摘要 | the reliable simulation of gross primary productivity (gpp) at various spatial and temporal scales is of significance to quantifying the net exchange of carbon between terrestrial ecosystems and the atmosphere. this study aimed to verify the ability of a nonlinear two-leaf model (tl-luen), a linear two-leaf model (tl-lue), and a big-leaf light use efficiency model (mod17) to simulate gpp at half-hourly, daily and 8-day scales using gpp derived from 58 eddy-covariance flux sites in asia, europe and north america as benchmarks. model evaluation showed that the overall performance of tl-luen was slightly but not significantly better than tl-lue at half-hourly and daily scale, while the overall performance of both tl-luen and tl-lue were significantly better (p < 0.0001) than mod17 at the two temporal scales. the improvement of tl-luen over tl-lue was relatively small in comparison with the improvement of tl-lue over mod17. however, the differences between tl-luen and mod17, and tl-lue and mod17 became less distinct at the 8-day scale. as for different vegetation types, tl-luen and tl-lue performed better than mod17 for all vegetation types except crops at the half-hourly scale. at the daily and 8-day scales, both tl-luen and tl-lue outperformed mod17 for forests. however, tl-luen had a mixed performance for the three non-forest types while tl-lue outperformed mod17 slightly for all these non-forest types at daily and 8-day scales. the better performance of tl-luen and tl-lue for forests was mainly achieved by the correction of the underestimation/overestimation of gpp simulated by mod17 under low/high solar radiation and sky clearness conditions. tl-luen is more applicable at individual sites at the half-hourly scale while tl-lue could be regionally used at half-hourly, daily and 8-day scales. mod17 is also an applicable option regionally at the 8-day scale. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | remote sensing |
| 研究领域[WOS] | remote sensing |
| 关键词[WOS] | gross primary production ; net ecosystem exchange ; carbon-dioxide exchange ; water-vapor exchange ; radiation-use efficiency ; in-situ measurements ; pine mixed forest ; primary productivity ; interannual variability ; flux measurements |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000353685200001 |
| 源URL | [http://ir.nwipb.ac.cn/handle/363003/5574]  |
| 专题 | 西北高原生物研究所_中国科学院西北高原生物研究所 |
| 作者单位 | 1.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Jiangsu, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 3.Nanjing Univ, Sch Geog, Nanjing 210023, Jiangsu, Peoples R China 4.Nanjing Univ, Sch Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China 5.Univ Montana, Numer Terradynam Simulat Grp, Missoula, MT 59812 USA 6.Oregon State Univ, Coll Forestry, Corvallis, OR 97331 USA 7.Univ British Columbia, Fac Land & Food Syst, Vancouver, BC V6T 1Z4, Canada 8.Univ Laval, Ctr Etud Foret, Quebec City, PQ G1V 0A6, Canada 9.Commiss European Communities, Inst Environm & Sustainabil, Joint Res Ctr, I-20127 Ispra, Italy 10.Oak Ridge Natl Lab, Div Environm Sci, Oak Ridge, TN 37831 USA |
| 推荐引用方式 GB/T 7714 | Wu, Xiaocui,Ju, Weimin,Zhou, Yanlian,et al. Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales[J]. remote sensing,2015,7(3):2238-2278. |
| APA | Wu, Xiaocui.,Ju, Weimin.,Zhou, Yanlian.,He, Mingzhu.,Law, Beverly E..,...&Liu, Yibo.(2015).Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales.remote sensing,7(3),2238-2278. |
| MLA | Wu, Xiaocui,et al."Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales".remote sensing 7.3(2015):2238-2278. |
入库方式： OAI收割
来源：西北高原生物研究所
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