The global impact factors of net primary production in different land cover types from 2005 to 2011 | |
Yu, Bo1; Chen, Fang1 | |
刊名 | SPRINGERPLUS |
2016 | |
卷号 | 5 |
关键词 | GROSS PRIMARY PRODUCTION LAND-SURFACE TEMPERATURE SPATIAL VARIABILITY VEGETATION INDEXES USE EFFICIENCY NEW-MODEL FLUX PRODUCTIVITY RESPIRATION SENSITIVITY |
通讯作者 | Chen, F (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100101, Peoples R China. ; Chen, F (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Hainan Key Lab Earth Observat, Sanya 572029, Peoples R China. |
英文摘要 | With the seriously polluted environment due to social development, the sustainability of net primary production (NPP), which is used to feed most lives on the earth, has become one of the biggest concerns that we have to consider for the sake of food shortage. There have been many researches analyzing one or two potential impact factors of NPP based on field observation data, which brings about many uncertainties for further calculation. Moreover, the frequently used process-based models heavily depend on the understandings of researchers about the NPP process. The premises of such models hinder the impact factor analysis from being objective and confident. To overcome such shortages, we collected 27 potential impact factors of global NPP in terms of eight land cover types. The feature variables include atmosphere, biosphere, anthroposphere and lithosphere parameters, which can be obtained from public available remote sensed products. The experiment shows that latitude, irradiance ultraviolet and normalized difference vegetation index are dominant factors impacting global NPP. Anthropogenic activities, precipitation and surface emissivity are influencing NPP calculation largely. However, some commonly used biosphere parameters in process-based models are actually not playing that important roles in NPP estimation. This work provides a new insight in analyzing NPP impact factors, being more objective and comprehensive compared with frequently used process-based models. |
学科主题 | Science & Technology - Other Topics |
类目[WOS] | Multidisciplinary Sciences |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000381640000002 |
内容类型 | 期刊论文 |
源URL | [http://ir.radi.ac.cn/handle/183411/39372] |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Hainan Key Lab Earth Observat, Sanya 572029, Peoples R China |
推荐引用方式 GB/T 7714 | Yu, Bo,Chen, Fang. The global impact factors of net primary production in different land cover types from 2005 to 2011[J]. SPRINGERPLUS,2016,5. |
APA | Yu, Bo,&Chen, Fang.(2016).The global impact factors of net primary production in different land cover types from 2005 to 2011.SPRINGERPLUS,5. |
MLA | Yu, Bo,et al."The global impact factors of net primary production in different land cover types from 2005 to 2011".SPRINGERPLUS 5(2016). |
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