| 简历： |
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2004北京师范大学物理学系，物理学学士。 2009北京师范大学资源学院，自然地理学博士。 2009-2012，日本国立环境研究所博士后。 2012-2017，中国科学院青藏高原研究所副研究员。 2017-至今，中国科学院青藏高原研究所研究员。
主要成果：
开展了青藏高原主要类型草地植被实地光谱测量，建立了高原主要草地植被地上生物量高光谱估算方法；最早开展了青藏高原草地植物花期遥感研究，构建了用于反演青藏高原高寒草甸花盖度的高光谱遥感指数，为全球变化背景下的青藏高原生态系统物候特征遥感监测开辟新方向；针对温带落叶林，开发了地面物候观测和卫星遥感物候的融合算法，为搭建卫星遥感物候和经典物候学之间的桥梁提供了新思路。系统探讨了青藏高原植被对气候变化的响应，揭示了植被返青和生长对昼夜不对称升温及其与降水的交互作用的复杂响应；评估了气候变化对青藏高原植被活动的影响以及植被对地表温度变化的反作用，发现了高原植被活动增强对气候变暖的负反馈作用，为理解该地区地表对气候的生物物理反馈提供了新视角。
以第一/通讯作者在PNAS、Global Change Biology等期刊发表SCI论文20余篇，其中ESI高被引论文4篇。研究成果受到Christian Korner院士等国际同行高度评价，被Science、Nature、IPCC AR5等广泛引用、报导，被国务院白皮书《西藏的发展与进步》使用。
招生招聘：招收有生态学，地理学，遥感科学与技术，生物学，物理学或者数学等专业背景的研究生和博士后。
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| 研究方向： |
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长期从事生态遥感以及青藏高原植被与气候变化相互作用研究
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| 社会任职： |
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Global Change Biology和Remote sensing编委会成员，Nature Geoscience, Ecology Letters，Remote sensing of Environment等期刊审稿人
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| 承担项目： |
| 中共中央组织部万人计划青年拔尖人才项目，180万元，2018-2020。中国科学院前沿科学重点研究项目，“拔尖青年科学家”项目，250万元，2016-2020，主持。国家自然科学基金面上项目《青藏高原高寒草地植被生长期对气候变化响应的模拟研究》批准号：41571103，91.92万元，2016-2019，主持。Chiba University Center for Environmental Remote Sensing, CEReS Overseas Joint Research Program 2016,Multi-platform satellite observations for improving retrieval of plant phenology on the Tibetan Plateau,CI16-101, 200,000 Japanese Yen, 2016-2017, 主持。中国科学院青年创新促进会项目，60万元，2015-2018，主持。国家自然科学基金青年科学基金《基于控制试验的冰雪区植被物候遥感探测方法研究》，批准号：41201459，25万元，2013-2015，主持。 |
| 获奖及荣誉： |
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2017年9月公示，中共中央组织部万人计划青年拔尖人才项目 2016年，中国科学院拔尖青年科学家项目资助 (250万元) 2015年，第十届青藏高原青年科技奖 2014年，入选中国科学院青年创新促进会
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| 代表论著： |
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最新论文可在该网页下载：https://www.researchgate.net/profile/Miaogen_Shen/publications
第一或通讯作者论文：
An, S., Zhu, X., *Shen, M., *Wang, Y., Cao, R., Chen, X., Yang, W., Chen, J., & Tang, Y. (2018). Mismatch in elevational shifts between satellite observed vegetation greenness and temperature isolines during 2000-2016 on the Tibetan Plateau. Global Change Biology, 24, 5411-5425 *Cao R, *Shen M, Zhou J, Chen J (2018) Modeling vegetation green-up dates across the Tibetan Plateau by including both seasonal and daily temperature and precipitation. Agricultural and Forest Meteorology, 249, 176–186. Yang Z, *Shen M, Jia S et al. (2017) Asymmetric responses of the end of growing season to daily maximum and minimum temperatures on the Tibetan Plateau. Journal of Geophysical Research-Atmospheres, 122 13278-13287. Cong N, *Shen M, Yang W, Yang Z, Zhang G, Piao S (2017). Varying responses of vegetation activity to climate changes on the Tibetan Plateau grassland. International Journal of Biometeorology. In Press. doi: 10.1007/s00484-017-1321-5 (SCI, IF = 2.3) Cong N, *Shen M, Piao S, Chen X, An S, Yang W, Fu YH, Meng F, Wang T (2017). Little change in heat requirement for vegetation green-up on the tibetan plateau over the warming period of 1998-2012. Agricultural and Forest Meteorology 232: 650-658.(SCI, IF = 4.4) Cong, N., *Shen, M., Piao, S., (2016), Spatial variations in responses of vegetation autumn phenology to climate change on the Tibetan Plateau. Journal of Plant Ecology-UK https://doi.org/10.1093/jpe/rtw084 (SCI, IF = 1.7封面文章) *Shen, M., *Piao, S., Chen, X.An, S., Fu, Y., Wang, S., Cong, N., and Janssens, I., (2016) Strong impact of daily minimum temperature on the green-up date and summer greenness of the Tibetan Plateau. Global Change Biology 22, 3057-3066 (SCI, IF = 8.4) *Chen, J., Rao, Y., *Shen, M., et al, (2016) A simple method for detecting phenological change from time series of vegetation index. IEEE Transactions on Geoscience and Remote Sensing, 54(6): 3436-3449 (SCI, IF = 3.5) *Shen, M., Piao, S.,Dorji, T., Liu, Q., Cong, N., Chen, X., An, S., Wang, S., Wang, T., and Zhang, G. (2015) Plant phenological responses to climate change on the Tibetan Plateau: research status and challenges. National Science Review, 2(4): 454-467 (SCI, IF = 8.0) *Shen, M., S. Piao*, S.-J. Jeong, L. Zhou, Z. Zeng, P. Ciais, D. Chen, M. Huang, C.-S. Jin, L. Z. X. Li, Y. Li, R. B. Myneni, K. Yang, G. Zhang, Y. Zhang, and T. Yao. (2015). Evaporative cooling over the Tibetan Plateau induced by vegetation growth. PNAS,112(30): 9299-9304(SCI, IF = 9.4, ESI Top 1% 高被引论文) *Shen, M., Piao, S., Cong, N., Zhang, G., and Jassens, I. A. (2015).Precipitation impacts on vegetation spring phenology on the Tibetan Plateau.Global Change Biology,21(10): 3647-3656 (SCI, IF = 8.4, ESI Top 1% 高被引论文) Shen, M., Cong, N., and *Cao R. (2015). Temperature sensitivity as an explanation of the latitudinal pattern of green-up date trend in Northern Hemisphere vegetation during 1982-2008. International Journal of Climatology, 35: 3707-3712(SCI, IF = 3.6) *Han, L., Tsunekawa, A., Tsubo, M., He, C. and *Shen, M., (2014). Spatial variations in snow cover and seasonally frozen ground over northern China and Mongolia, 1988-2010. Global and Planetary Change, 116: 139-148.(SCI, IF = 3.5) Shen, M., *Zhang, G., Cong, N., Wang, S., Kong, W., & Piao, S. (2014). Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai-Tibetan Plateau. Agricultural and Forest Meteorology, 189–190, 71-80. (SCI, IF = 4.4, ESI Top 1% 高被引论文) *Shen, M., Tang, Y., Chen, J., Yang, X., Wang, C., Cui, X., Yang, Y., Han, L., Du, J., Li, L., *Zhang, G., & Cong, N. (2014). Earlier-season vegetation has greater temperature sensitivity of spring phenology in Northern Hemisphere. PLoS ONE, 9(2):e88178. (SCI, IF = 3.1) *Shen, M., Tang, Y., Desai, A.R., Gough, C., & Chen, J. (2014). Can EVI-derived land surface phenology be used as a surrogate for phenology of canopy photosynthesis? International Journal of Remote Sensing, 35(2), 1162-1174. (SCI, IF = 1.6) *Shen, M., Sun, Z., Wang, S., Zhang, G., Kong, W., Chen, A., & Piao, S. (2013). No evidence of continuously advanced green-up dates in the Tibetan Plateau over the last decade. PNAS, 110, E2329 (SCI, IF = 9.4) *Shen, M., Tang, Y., Chen, J., & Yang, W. (2012). Specification of thermal growing season in temperate China from 1960 to 2009. Climatic Change, 114, 783–798 (SCI, IF = 3.3) Shen, M., Tang, Y., Chen, J., Zhu, X., & Zheng, Y. (2011). Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau. Agricultural and Forest Meteorology, 151, 1711-1722 (SCI, IF = 4.4, ESI Top 1% 高被引论文) *Shen, M. (2011). Spring phenology was not consistently related to winter warming on the Tibetan Plateau. PNAS, 108, E91-E92 (SCI, IF = 9.4) Shen, M., Chen, J., Zhu, X., Tang, Y., & Chen, X. (2010). Do flowers affect biomass estimate accuracy from NDVI and EVI? International Journal of Remote Sensing, 31, 2139-2149 (SCI, IF = 1.6) Shen, M., Chen, J., Zhu, X., & Tang, Y. (2009). Yellow flowers can decrease NDVI and EVI values: evidence from a field experiment in an alpine meadow. Canadian Journal of Remote Sensing, 35, 99-106 (SCI, IF = 2.0) Chen, J., *Shen, M., Zhu, X., & Tang, Y. (2009). Indicator of flower status derived from in situ hyperspectral measurement in an alpine meadow on the Tibetan Plateau. Ecological Indicators, 9, 818-823 (SCI, IF= 3.2) Chen, J., *Shen, M., & Kato, T. (2009). Diurnal and seasonal variations in light-use efficiency in an alpine meadow ecosystem: causes and implications for remote sensing. Journal of Plant Ecology-UK, 2, 173-185 (SCI, IF =1.7) Shen, M., Tang, Y., Klein, J., Zhang, P., Gu, S., Shimono, A., & Chen, J. (2008). Estimation of aboveground biomass using in situ hyperspectral measurements in five major grassland ecosystems on the Tibetan Plateau. Journal of Plant Ecology-UK, 1, 247-257 (SCI, IF = 1.7)
其他合作论文：
Shi C, Shen M, Wu X et al. (2019) Growth response of alpine treeline forests to a warmer and drier climate on the southeastern Tibetan Plateau. Agricultural and Forest Meteorology, 264, 73-79. Wu, C., Wang, X., Wang, H., Ciais, P., Penuelas, J., Myneni, R.B., Desai, A.R., Gough, C.M., Gonsamo, A., Black, A.T., Jassal, R.S., Ju, W., Yuan, W., Fu, Y., Shen, M., Li, S., Liu, R., Chen, J.M., & Ge, Q. (2018). Contrasting responses of autumn-leaf senescence to daytime and night-time warming. Nature Climate Change https://doi.org/10.1038/s41558-018-0346-zCao R, Chen Y, Shen M, Chen J, Zhou J, Wang C, Yang W (2018) A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter. Remote Sensing of Environment, 217, 244-257. Chen X, Wang D, Chen J, Wang C, Shen M (2018) The mixed pixel effect in land surface phenology: A simulation study. Remote Sensing of Environment, 211, 338-344. Liu, D., Li, Y., Wang, T., Peylin, P., MacBean, N., Ciais, P., Jia, G.S., Ma, M.G., Ma, Y.M., Shen, M.G., Zhang, X.Z., & Piao, S.L. (2018). Contrasting responses of grassland water and carbon exchanges to climate change between Tibetan Plateau and Inner Mongolia. Agricultural and Forest Meteorology, 249, 163-175 Yang J, Ji Z, Chen D, Kang S, Fu C, Duan K, Shen M (2018) Improved Land Use and Leaf Area Index Enhances WRF-3DVAR Satellite Radiance Assimilation: A Case Study Focusing on Rainfall Simulation in the Shule River Basin during July 2013. Advances in Atmospheric Sciences, 35, 628-644. Yao, Y., Wang, X., Li, Y., Wang, T., Shen, M., Du, M., He, H., Li, Y., Luo, W., Ma, M., Ma, Y., Tang, Y., Wang, H., Zhang, X., Zhang, Y., Zhao, L., Zhou, G., & Piao, S. (2017). Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years. Global Change Biology, doi: 10.1111/gcb.13830 Li, J., Liu, D., Wang, T., Li, Y., Wang, S., Yang, Y., Wang, X., Guo, H., Peng, S., Ding, J., Shen, M., & Wang, L. (2017). Grassland restoration reduces water yield in the headstream region of Yangtze River. Scientific Reports, 7, 2162 Semakula, H.M., Song, G., Achuu, S.P., Shen, M., Chen, J., Mukwaya, P.I., Oulu, M., Mwendwa, P.M., Abalo, J., & Zhang, S. (2017). Prediction of future malaria hotspots under climate change in sub-Saharan Africa. Climatic Change, 143, 415-428 Tang J, Korner C, Muraoka H, Piao S, Shen M, Thackeray SJ, Yang X (2016). Emerging opportunities and challenges in phenology: A review. Ecosphere 7(8):e01436. 10.1002/ecs2.1436 Piao, S., J. Tan, A. Chen, Y. H. Fu, P. Ciais, Q. Liu, I. A. Janssens, S. Vicca, Z. Zeng, S.-J. Jeong, Y. Li, R. B. Myneni, S. Peng, M. Shen, and J. Penuelas. (2015). Leaf onset in the northern hemisphere triggered by daytime temperature. Nature Communications 6, doi:10.1038/ncomms7911. (SCI, IF = 10) Yang, Y., Guan, H.,Shen, M.,Liang, W.,&Jiang, L. (2015).Changes in autumn vegetation dormancy onset date and the climate controls across temperate ecosystems in china from 1982 to 2010. Global Change Biology, 21, 625-665 (SCI, IF = 8.0) Cao, R., Chen, J., Shen, M., & Tang, Y. (2015). An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data. Agricultural and Forest Meteorology, 200, 9-20 (SCI, IF = 3.9) Cao, R., Shen, M., Chen, J., & Tang, Y. (2014). A simple method to simulate diurnal courses of PAR absorbed by grassy canopy. Ecological Indicators, 46, 129-137(SCI, IF = 3.2) Fan, B., Guo, L., Li, N., Chen, J., Lin, H., Zhang, X., Shen, M., Rao, Y., Wang, C., & Ma, L. (2014). Earlier vegetation green-up has reduced spring dust storms. Scientific Reports, 4:6749, DOI: 10.1038/srep06749 (SCI, IF = 5.1) Wang, S., Meng, F., Duan, J., Wang, Y., Cui, X., Piao, S., Niu, H., Xu, G., Luo, C., Zhang, Z., Zhu, X., Shen, M., Li, Y., Du, M., Tang, Y., Zhao, X., Ciais, P., Kimball, B., Penuelas, J., Janssens, I., Cui, S., Zhao, L., & Zhang, F. (2014). Asymmetric sensitivity of first flowering date to warming and cooling in alpine plants. Ecology, 95(12), 3387-3398 (SCI, IF = 5.0) Yang, W., Chen, J., Matsushita, B., Shen, M., & Chen, X. (2010). Practical image fusion method based on spectral mixture analysis. Science China Information sciences, 53, 1277-1286 (SCI, IF = 0.7) Chen, J., Gu, S., Shen, M., Tang, Y., & Matsushita, B. (2009). Estimating aboveground biomass of grassland having a high canopy cover: an exploratory analysis of in situ hyperspectral data. International Journal of Remote Sensing, 30, 6497-6517 (SCI, IF = 1.4) Chen, X., Chen, J., Shen, M., & Yang, W. (2008). Land-use/land-cover change detection using change-vector analysis in posterior probability space. In, Geoinformatics 2008 and Joint conference on GIS and Built Environment: The Built Environment and its Dynamics (pp. 714405-714405-714408): International Society for Optics and Photonics (EI) 姚檀栋, 朴世龙, 沈妙根, 高晶, 杨威, 张国庆, 类延斌, 高杨, 朱立平, & 徐柏青 (2017). 印度季风与西风相互作用在现代青藏高原产生连锁式环境效应. 中国科学院院刊, 9, 013 丛楠, & 沈妙根 (2016). 1982—2009年基于卫星数据的北半球中高纬地区植被春季物候动态及其与气候的关系. 应用生态学报, 27, 2737-2746 张宪洲, 杨永平，朴世龙, 包维楷, 汪诗平, 王根绪, 孙航, 罗天祥, 张扬建, 石培礼, 梁尔源, 沈妙根, 王景升, 高清竹，张镱锂, 欧阳华. 2015. 青藏高原生态变化. 科学通报，doi: 10.1360/N972014-901339. ZHANG XianZhou, YANG YongPing, PIAO ShiLong, BAO WeiKai, WANG ShiPing, WANG GenXu, SUN Hang, LUO TianXiang, ZHANG YangJian, SHI PeiLi, LIANG ErYuan, SHEN MiaoGen, WANG JingSheng, GAO QingZhu, ZHANG YiLi, OUYANG Hua. 2015. Ecological change on the Tibetan Plateau. China Sci Bull(in Chinese with abstract in English), doi: 10.1360/N972014-01339. 王建, 王光鹏, 斯贵才, 沈妙根, 张更新, 2013. 青藏公路沿线植被多样性特征及其与环境因子的关系. 草业科学, 30(09): 1320-1329.(Wang, J., Wang, G., Si, G., Shen, M. and Zhang, G., 2013. Vegetation species diversity characteristics in relation to environmental factors along Qinghai-Tibentan Highway. Pratacultural Science (in Chinese with abstract in English), 30(9): 1320-1329.) 陈学泓, 王胜强, 陈晋, 沈妙根, 朱孝林, 2009. 一种新的基于Fisher判别的混合像元分解算法：室内控制实验结果分析，红外与毫米波学报, Vol.28 No.6, 476-480 (SCI, IF = 0.3). (CHEN, X.-H., WANG, S.-Q., CHEN, J., SHEN, M.-G., & ZHU, X.-L. (2009). New algorithm for spectral mixture analysis based on fisher discriminant analysis: evidence from laboratory experiment. Journal of Infrared and Millimeter Waves, 6, 017 (SCI, IF = 0.3) 朱孝林, 李强, 沈妙根, 陈晋, 吴锦, 2008. 基于多时相NDVI数据的复种指数提取方法研究，自然资源学报, Vol. 23, No. 3, 534-544. (Zhu, X., Li, Q., Shen, M., Chen, J., & Wu, J. (2008). A methodology for multiple cropping index extraction based on NDVI time-series. Journal of Natural Resources (in Chinese with abstract in English), 23, 534-544)
最近更新时间2018年11月27日
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