A MODIS-based Photosynthetic Capacity Model to estimate gross primary production in Northern China and the Tibetan Plateau
文献类型：期刊论文
| 作者 | Gao, Yanni1,2; Yu, Guirui1; Yan, Huimin1; Zhu, Xianjin1,2; Li, Shenggong1; Wang, Qiufeng1; Zhang, Junhui3; Wang, Yanfen2; Li, Yingnian4; Zhao, Liang4 |
| 刊名 | remote sensing of environment
 |
| 出版日期 | 2014-05-25 |
| 卷号 | 148页码:108-118 |
| 关键词 | Gross primary production (GPP) Eddy covariance Vegetation index Moisture index Photosynthetic capacity Photosynthetic Capacity Model (PCM) |
| ISSN号 | 0034-4257 |
| 中文摘要 | accurate quantification of the spatio-temporal variation of gross primary production (gpp) for terrestrial ecosystems is significant for ecosystem management and the study of the global carbon cycle. in this study, we propose a modis-based photosynthetic capacity model (pcm) to estimate gpp in northern china and the tibetan plateau. the pcm follows the logic of the light use efficiency model and is only driven by the enhanced vegetation index (evi) and the land surface water index (lswi). multi-year eddy co2 flux data from five vegetation types in north china (temperate mixed forest, temperate steppe) and the tibetan plateau (alpine shrubland, alpine marsh and alpine meadow-steppe) were used for model parameterization and validation. in most cases, the seasonal and interannual variation in the simulated gpp agreed well with the observed gpp. model comparisons showed that the predictive accuracy of the pcm was higher than that of the modis gpp products and was comparable with that of the vegetation photosynthesis model (vpm) and the potential par-based gpp models. the model parameter (pcmax) of the pcm represents the maximum photosynthetic capacity, which showed a good linear relationship with the mean annual nighttime land surface temperature (lstan). with this linear function, the pcm-simulated gpp can explain approximately 93% of the variation in the flux-observed gpp across all five vegetation types. these analyses demonstrated the potential of the pcm as an alternative tool for regional gpp estimation. (c) 2014 elsevier inc. all rights reserved. |
| 英文摘要 | accurate quantification of the spatio-temporal variation of gross primary production (gpp) for terrestrial ecosystems is significant for ecosystem management and the study of the global carbon cycle. in this study, we propose a modis-based photosynthetic capacity model (pcm) to estimate gpp in northern china and the tibetan plateau. the pcm follows the logic of the light use efficiency model and is only driven by the enhanced vegetation index (evi) and the land surface water index (lswi). multi-year eddy co2 flux data from five vegetation types in north china (temperate mixed forest, temperate steppe) and the tibetan plateau (alpine shrubland, alpine marsh and alpine meadow-steppe) were used for model parameterization and validation. in most cases, the seasonal and interannual variation in the simulated gpp agreed well with the observed gpp. model comparisons showed that the predictive accuracy of the pcm was higher than that of the modis gpp products and was comparable with that of the vegetation photosynthesis model (vpm) and the potential par-based gpp models. the model parameter (pcmax) of the pcm represents the maximum photosynthetic capacity, which showed a good linear relationship with the mean annual nighttime land surface temperature (lstan). with this linear function, the pcm-simulated gpp can explain approximately 93% of the variation in the flux-observed gpp across all five vegetation types. these analyses demonstrated the potential of the pcm as an alternative tool for regional gpp estimation. (c) 2014 elsevier inc. all rights reserved. |
| WOS标题词 | science & technology ; life sciences & biomedicine ; technology |
| 类目[WOS] | environmental sciences ; remote sensing ; imaging science & photographic technology |
| 研究领域[WOS] | environmental sciences & ecology ; remote sensing ; imaging science & photographic technology |
| 关键词[WOS] | light-use efficiency ; spectral vegetation indexes ; deciduous broadleaf forest ; net ecosystem exchange ; eddy covariance ; climate data ; terrestrial ecosystems ; remote estimation ; surface-temperature ; chlorophyll content |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000336773600009 |
| 公开日期 | 2014-12-19 |
| 源URL | [http://ir.nwipb.ac.cn/handle/363003/4229]  |
| 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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Synth Res Ctr Chinese Ecosyst Res Network, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China 4.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Yanni,Yu, Guirui,Yan, Huimin,et al. A MODIS-based Photosynthetic Capacity Model to estimate gross primary production in Northern China and the Tibetan Plateau[J]. remote sensing of environment,2014,148:108-118. |
| APA | Gao, Yanni.,Yu, Guirui.,Yan, Huimin.,Zhu, Xianjin.,Li, Shenggong.,...&Shi, Peili.(2014).A MODIS-based Photosynthetic Capacity Model to estimate gross primary production in Northern China and the Tibetan Plateau.remote sensing of environment,148,108-118. |
| MLA | Gao, Yanni,et al."A MODIS-based Photosynthetic Capacity Model to estimate gross primary production in Northern China and the Tibetan Plateau".remote sensing of environment 148(2014):108-118. |
入库方式： OAI收割
来源：西北高原生物研究所
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