Modeling net primary production of a fast-growing forest using a light use efficiency model
文献类型：期刊论文
| 作者 | Huang, Ni1,2; Niu, Zheng1; Wu, Chaoyang1; Tappert, Michelle Coreena3 |
| 刊名 | Ecological modelling
 |
| 出版日期 | 2010-12-15 |
| 卷号 | 221期号:24页码:2938-2948 |
| 关键词 | Forest biomass Forest inventory data Eucalyptus urophylla plantation South china Net primary production Remote sensing date Light use efficiency model |
| ISSN号 | 0304-3800 |
| DOI | 10.1016/j.ecolmodel.2010.08.041 |
| 通讯作者 | Huang, ni(huangni84@gmail.com) |
| 英文摘要 | As interest grows in the quantification of global carbon cycles, light use efficiency clue) model predictions of the forest net primary production (npp) are being developed at an accelerating rate. such models can provide useful predictions at large scales, but evaluating their performance has been difficult. in this study, a remote sensing-based lue model was established to estimate forest npp. using the forest inventory data (fid) from the regional forest inventory survey in china and established allometric biomass equations, we calculated the biomass, the biomass increment, and the npp of eucalyptus urophylla (e. urophylla) plantation plots in the forestry jurisdiction of the leizhou forestry bureau, southern china. the fid-based npp and the npp from lue model predictions were then compared to each other. results show that the npp from model predictions at a spatial resolution of 30 m x 30 m varied from 0 to 265 gc/(m(2) month) and showed regional differences. in addition, the stand age had variable effects on the average individual biomass of the e. urophylla plantation plots. the average individual biomass of the young and mid-age forests increased exponentially and logarithmically with the stand age (r(2) = 0.9178 and r(2) = 0.8683), respectively. for young and mid-age e. urophylla plantation plots, the lue model-predicted npp was fairly consistent with the fid-based npp, but the model predictions of the npp were higher than the estimates from fid. through the analysis of the causes of uncertainty and the possible reasons for the discrepancy between the model-based npp and fid-based npp, the fid-derived estimates provided a foundation for model evaluation. (c) 2010 elsevier b.v. all rights reserved. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; EVERGREEN NEEDLELEAF FOREST ; INVENTORY DATA ; NUTRIENT ACCUMULATION ; VEGETATION INDEXES ; CROP PRODUCTION ; CLIMATE-CHANGE ; CHINA ; BIOMASS ; SATELLITE |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000284444300009 |
| 出版者 | ELSEVIER SCIENCE BV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2415238 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Huang, Ni |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China 3.Univ Alberta, Dept Earth & Atmospher Sci, Earth Observat Syst Lab, Edmonton, AB T6G 2E3, Canada |
| 推荐引用方式 GB/T 7714 | Huang, Ni,Niu, Zheng,Wu, Chaoyang,et al. Modeling net primary production of a fast-growing forest using a light use efficiency model[J]. Ecological modelling,2010,221(24):2938-2948. |
| APA | Huang, Ni,Niu, Zheng,Wu, Chaoyang,&Tappert, Michelle Coreena.(2010).Modeling net primary production of a fast-growing forest using a light use efficiency model.Ecological modelling,221(24),2938-2948. |
| MLA | Huang, Ni,et al."Modeling net primary production of a fast-growing forest using a light use efficiency model".Ecological modelling 221.24(2010):2938-2948. |
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来源：中国科学院大学
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