Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China
文献类型：期刊论文
| 作者 | Sha Zongyao2; Zhong Jialin; Bai Yongfei1; Tan Xicheng; Li, Jonathan2 |
| 刊名 | JOURNAL OF ARID LAND
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:3 |
| ISSN号 | 1674-6767 |
| 关键词 | phenological timing degradation harmonic analysis human activity climate restoration |
| DOI | 10.1007/s40333-016-0121-9 |
| 文献子类 | Article |
| 英文摘要 | Spatio-temporal variations of vegetation phenology, e.g. start of green-up season (SOS) and end of vegetation season (EOS), serve as important indicators of ecosystems. Routinely processed products from remotely sensed imagery, such as the normalized difference vegetation index (NDVI), can be used to map such variations. A remote sensing approach to tracing vegetation phenology was demonstrated here in application to the Inner Mongolia grassland, China. SOS and EOS mapping at regional and vegetation type (meadow steppe, typical steppe, desert steppe and steppe desert) levels using SPOT-VGT NDVI series allows new insights into the grassland ecosystem. The spatial and temporal variability of SOS and EOS during 1998-2012 was highlighted and presented, as were SOS and EOS responses to the monthly climatic fluctuations. Results indicated that SOS and EOS did not exhibit consistent shifts at either regional or vegetation type level; the one exception was the steppe desert, the least productive vegetation cover, which exhibited a progressive earlier SOS and later EOS. Monthly average temperature and precipitation in preseason (February, March and April) imposed most remarkable and negative effects on SOS (except for the non-significant impact of precipitation on that of the meadow steppe), while the climate impact on EOS was found to vary considerably between the vegetation types. Results showed that the spatio-temporal variability of the vegetation phenology of the meadow steppe, typical steppe and desert steppe could be reflected by the monthly thermal and hydrological factors but the progressive earlier SOS and later EOS of the highly degraded steppe desert might be accounted for by non-climate factors only, suggesting that the vegetation growing period in the highly degraded areas of the grassland could be extended possibly by human interventions. |
| 学科主题 | Environmental Sciences |
| 电子版国际标准刊号 | 2194-7783 |
| 出版地 | HEIDELBERG |
| WOS关键词 | NDVI TIME-SERIES ; MEAN CLIMATE DATA ; GREEN-UP DATE ; SPATIAL INTERPOLATION ; DIFFERENT BIOMES ; SPOT-VGT ; MODIS ; AVHRR ; LAND ; TRENDS |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| 出版者 | SPRINGER HEIDELBERG |
| WOS记录号 | WOS:000373138300014 |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA05050402] ; Key Laboratory for Geographic State Monitoring of the National Administration of Surveying, Mapping and Geoinformation ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41071249, 41371371] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/24323]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada 2.Wuhan Univ, Int Software Sch, Wuhan 430079, Peoples R China 3.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sha Zongyao,Zhong Jialin,Bai Yongfei,et al. Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China[J]. JOURNAL OF ARID LAND,2016,8(3). |
| APA | Sha Zongyao,Zhong Jialin,Bai Yongfei,Tan Xicheng,&Li, Jonathan.(2016).Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China.JOURNAL OF ARID LAND,8(3). |
| MLA | Sha Zongyao,et al."Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China".JOURNAL OF ARID LAND 8.3(2016). |
入库方式： OAI收割
来源：植物研究所
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