Grassland and Cropland Net Ecosystem Production of the US Great Plains: Regression Tree Model Development and Comparative Analysis
文献类型：期刊论文
| 作者 | Wylie, Bruce1; Howard, Daniel1; Dahal, Devendra1; Gilmanov, Tagir1; Ji, Lei1; Zhang, Li1; Smith, Kelcy1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:11 |
| 关键词 | WAVE-FORM LIDAR HEMISPHERICAL PHOTOGRAPHY OPTICAL MEASUREMENTS INCLINATION ANGLE CANOPY STRUCTURE PLANT CANOPIES BOREAL FORESTS RETRIEVAL DISTRIBUTIONS IMAGER |
| 通讯作者 | Wylie, B (reprint author), US Geol Survey USGS, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA. |
| 英文摘要 | This paper presents the methodology and results of two ecological-based net ecosystem production (NEP) regression tree models capable of up scaling measurements made at various flux tower sites throughout the U.S. Great Plains. Separate grassland and cropland NEP regression tree models were trained using various remote sensing data and other biogeophysical data, along with 15 flux towers contributing to the grassland model and 15 flux towers for the cropland model. The models yielded weekly mean daily grassland and cropland NEP maps of the U.S. Great Plains at 250 m resolution for 2000-2008. The grassland and cropland NEP maps were spatially summarized and statistically compared. The results of this study indicate that grassland and cropland ecosystems generally performed as weak net carbon (C) sinks, absorbing more C from the atmosphere than they released from 2000 to 2008. Grasslands demonstrated higher carbon sink potential (139 g C.m(-2).year(-1)) than non-irrigated croplands. A closer look into the weekly time series reveals the C fluctuation through time and space for each land cover type. |
| 学科主题 | Remote Sensing |
| 类目[WOS] | Remote Sensing |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000388798400065 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39543]  |
| 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.US Geol Survey USGS, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA 2.Stinger Ghaffarian Technol, USGS EROS Ctr, Sioux Falls, SD 57198 USA 3.Gilmanov Res & Consulting LLP, Brookings, SD 57006 USA 4.ASRC InuTeq, USGS EROS Ctr, Sioux Falls, SD 57198 USA 5.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wylie, Bruce,Howard, Daniel,Dahal, Devendra,et al. Grassland and Cropland Net Ecosystem Production of the US Great Plains: Regression Tree Model Development and Comparative Analysis[J]. REMOTE SENSING,2016,8(11). |
| APA | Wylie, Bruce.,Howard, Daniel.,Dahal, Devendra.,Gilmanov, Tagir.,Ji, Lei.,...&Smith, Kelcy.(2016).Grassland and Cropland Net Ecosystem Production of the US Great Plains: Regression Tree Model Development and Comparative Analysis.REMOTE SENSING,8(11). |
| MLA | Wylie, Bruce,et al."Grassland and Cropland Net Ecosystem Production of the US Great Plains: Regression Tree Model Development and Comparative Analysis".REMOTE SENSING 8.11(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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