周涛 - 北京师范大学 - 地理科学学部

个人简介

教育经历 2003～2005：博士后，美国俄克拉何马大学(University of Oklahoma) 1999～2002：博士研究生，北京师范大学资源科学研究所 1994～1997：硕士研究生，北京师范大学资源科学研究所 1990～1994：本科，湖南师范大学地理系工作经历 2016～目前：地理科学学部 / 地表过程与资源生态国家重点实验室，教授 2010～2016：减灾与研究管理研究院 / 地表过程与资源生态国家重点实验室，教授 2007～2010：减灾与研究管理研究院 / 地表过程与资源生态国家重点实验室，副教授 2005～2007：资源学院 / 环境演变与自然灾害教育部重点实验室，副教授 2003～2005: 美国俄克拉何马大学植物与微生物系，博士后助理研究员 2002～2003: 北京师范大学资源科学研究所，讲师 1999～2002: 北京师范大学计算中心，讲师 1997～1999: 北京师范大学计算中心，助教承担课程 SPSS数据统计分析与实践，研究生院校级方法课资源环境科学导论，地理科学学部现代地理学，地理科学学部科研项目国家自然科学基金面上项目：基于“站点-区域协同优化”评估中国森林碳汇及其空间分布（No. 42277206），2023.1～2026.12 国家第二次青藏高原综合科学考察研究专题：生态安全屏障优化体系（No. 2019QZKK0405）, 2019.11～2024.10 青海省重大科技专项青海生态环境价值评估及大生态产业发展综合研究子课题：青海植被与土壤碳汇的模拟及价值评估（No. 2019SFA120104），2019.1～2021.7 国家自然科学基金面上项目：基于非平衡数据-模型融合方法评估气候与林龄因素对中国森林碳汇的相对贡献（No. 41571185），2016.1～2019.12 国家自然科学基金创新研究群体科学基金项目：地表过程模型与模拟（No. 41621061）, 2014.1～2019.12 国家重大科学研究计划(973项目)"全球变化与环境风险关系及其适应性范式研究"专题“全球变化对环境风险影响的识别”（No. 2012CB95540101），2012.1～2016.12 教育部新世纪优秀人才支持计划：陆地生态系统植被与土壤碳循环（No. NCET-10-0251）, 2011.7～2014.6 国家自然科学基金面上项目：中国森林碳汇模拟与预测值不确定性的定量评估（No. 30970514）, 2010.1～2012.12 教育部留学回国基金：陆地生态系统碳循环过程模型的关键参数，2008.1～2009.12 国家自然科学基金面上项目：基于数据-模型融合方法评估中国生态系统NPP增长驱动下的碳汇潜力（No. 40671173），2007.1～2009.12 国家重点基础发展规划研究项目(973)课题：干旱化及其阶段性转折对我国粮食、水和土地资源安全的影响及适应对策（No. 2006CB400505），2006～2010 国家自然科学基金项目：基于遥感和碳循环过程模型反演中国土壤呼吸的关键参数（No. 40401028），2005.1～2007.12 国家重点基础研究发展规划项目：我国生存环境演变和北方干旱化趋势预测研究: 人类活动的生态效应及其对干旱化影响的研究，2000～2003 基于B/S和C/S的北京师范大学管理信息系统建设，2001～2002 国土资源部全国重点城市土地遥感动态监测项目：太原市、大同市城市扩展遥感动态监测, 1997~1998 重要奖项教育部新世纪优秀人才，2010年北京师范大学首届“最受研究生欢迎的十佳教师”，2013年

研究领域

全球变化与植被响应、遥感监测与区域碳循环模拟、陆地碳循环数据-模型融合

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Liu, X., T. Zhou**, X. Zhao, P. Shi, Y. Zhang, Y. Xu, H. Luo, P. Yu, P. Zhou, J. Zhang. Patterns and drivers of soil carbon change (1980s-2010s) in the northeastern Qinghai-Tibet Plateau. Geoderma, 2023, 434, doi: 10.1016/j.geoderma.2023.116488. Zeng, J., T. Zhou**, Q. Wang, Y. Xu, Q. Lin, Y. Zhang, X. Wu, J. Zhang, X. Liu. Spatial patterns of China’s carbon sinks estimated from the fusion of remote sensing and field-observed net primary productivity and heterotrophic respiration. Ecological Informatics, 2023, 76, doi: 10.1016/j.ecoinf.2023.102152. Yu, P., T. Zhou**, H. Luo, X. Liu, P. Shi, Y. Zhang, J. Zhang, P. Zhou, Y. Xu. Global pattern of ecosystem respiration tendencies and its implications on terrestrial carbon sink potential. Earth's Future, 2022, 10, doi: 10.1029/2022EF002703. Luo, H., T. Zhou**, P. Yu, C. Yi, X. Liu, Y. Zhang, P. Zhou, J. Zhang and Y. Xu. The forest recovery path after drought dependence on forest type and stock volume. Environmental Research Letters, 2022, 17, 055006,doi:10.1088/1748-9326/ac57e5. Yu, P., T. Zhou**, H. Luo, X. Liu, P. Shi, X. Zhao, Z. Xiao, Y. Zhang, P. Zhou. Interannual variation of gross primary production detected from optimal convolutional neural network at multitimescale water stress. Remote Sensing in Ecology and Conservation, 2022,8(3):409–425, doi:10.1002/rse2.252. Liu, X., T. Zhou**, Shi, P., Zhang, Y., Luo, H., Yu P., Xu, Y., Zhou, P., and Zhang, J. Uncertainties of soil organic carbon stock estimation caused by paleoclimate and human footprint on the Qinghai Plateau. Carbon Balance and Management, 2022, 17, 8, doi:10.1186/s13021-022-00203-z. Xu, P., W. Fang, T. Zhou, H. Li, X. Zhao, S. Berman, T. Zhang, C. Yi. Satellite evidence of canopy-height dependence of forest drought resistance in southwestern China. Environmental Research Letters, 2022, 17, 025005, doi:10.1088/1748-9326/ac4a33. Meng, M., D. Gong, T. Zhu, P. Yao, T. Zhou. Significant association between winter North Atlantic SST and spring NDVI anomaly over Eurasia. Journal of Geophysical Research: Atmospheres, 2022, 127, e2021JD036315, doi:10.1029/2021JD036315. Ge, R., H. He, L. Zhang,X. Ren, M. Williams, G. Yu, T. L. Smallman, T. Zhou, P. Li, Z. Xie, S. Wang, H. Wang, G. Zhou, Q. Zhang, A. Wang, Z. Fan, Y. Zhang, W. Shen, H. Yin, L. Lin. Climate sensitivities of carbon turnover times in soil and vegetation:Understanding their effects on forest carbon sequestration. Journal of Geophysical Research: Biogeosciences, 2022, 127, e2020JG005880. doi:10.1029/2020JG005880. Zeng, J., R. Zhang, Y. Qu, V.A. Bento, T. Zhou, Y. Lin, X. Wu, J. Qi, W. Shui, Q. Wang. Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018. Weather and Climate Extremes, 2022,35, 100412, doi: 10.1016/j.wace.2022.100412. Liu, J., T. Zhou**, H. Luo, X. Liu,P. Yu, Y. Zhang, P. Zhou. Diverse Roles of Previous Years’Water Conditions in Gross Primary Productivity in China. Remote Sensing, 2021, 13, 58. doi:10.3390/rs13010058. Luo, H, T. Zhou** , X. Liu, P. Shi, R. Mao, X. Zhao, P. Xu, P. Yu, J. Liu. Dual Roles of Water Availability in Forest Vigor: A Multiperspective Analysis in China. Remote Sensing, 2021, 13, 91. doi:10.3390/rs13010091. Fang, W., C. Yi, D. Chen, P. Xu, G. Hendrey, N. Krakauer, K. Jensen, S. Gao, Z. Lin, G. Lam, Q. Zhang, T. Zhou. Hotter and drier climate made the Mediterranean Europe and Northern Africa region a shrubbier landscape. Oecologia, 2021, 197, 1111–1126. doi:10.1007/s00442-021-05041-3. Gao, S, T. Zhou**, C. Yi, P. Shi, W. Fang, R. Liu, E. Liang, J.J.Gamarero. Asymmetric impacts of dryness and wetness on tree growth and forest coverage. Agricultural and Forest Meteorology, 2020, 288-289, 107980, doi: 10.1016/j.agrformet.2020.107980. Zhao, J., X. Zhao, S. Liang, T. Zhou, X. Du, P. Xu, D. Wu. Assessing the thermal contributions of urban land cover types. Landscape and Urban Planning, 2020, 204, 103927, doi:10.1016/j.landurbplan.2020.103927. Shi, P., T. Ye, Y. Wang, T. Zhou, W. Xu, J. Du, J. Wang, N. Li, C. Huang, L. Liu, B. Chen, Y. Sun, W. Fang, M. Wang, X. Hu, J. Wu, C. He, Q. Zhang, Q. Ye, C. Jaeger, N. Okada. Disaster Risk Science: A Geographical Perspective and a Research Framework. International Journal of Disaster Risk Science, 2020, 426–440, doi:10.1007/s13753-020-00296-5. Liu, X., T. Zhou**, H. Luo, P. Xu, S. Gao, and J. Liu. Models ignoring spatial heterogeneities of forest age will significantly overestimate the climate effects on litterfall in China. Science of the Total Environment, 2019, 661, 492-503, doi: 10.1016/j.scitotenv.2019.01.162. Xu, P., W. Fang, T. Zhou**, X. Zhao, H. Luo, G. Hendrey, C. Yi. Spatial Upscaling of Tree-Ring-Based Forest Response to Drought with Satellite Data. Remote Sensing, 2019, 11, 2344; doi:10.3390/rs11202344. Ge, R., H. He, X. Ren, L. Zhang, G. Yu, T. L. Smallman, T. Zhou, S. Yu, Y. Luo, Z. Xie, S. Wang, H. Wang, G. Zhou, Q. Zhang, A. Wang, Z. Fan, Y. Zhang, W. Shen, H. Yin, and L. Lin. Underestimated ecosystem carbon turnover time and sequestration under the steady state assumption: A perspective from long‐term data assimilation. Global Change Biology, 2019, doi: 10.1111/gcb.14547. Gao, S., R. S. Liu, T. Zhou**, W. Fang, C. X. Yi, R. J. Lu, X. Zhao, and H. Luo. Dynamic responses of tree-ring growth to multiple dimensions of drought. Global Change Biology, 2018, 24, 5380-5390, doi: 10.1111/gcb.14367. Xu, P., T. Zhou**, C. Yi*, W. Fang, G. Hendrey, and X. Zhao. Forest drought resistance distinguished by canopy height. Environmental Research Letters, 2018, 13, 075003, doi: 10.1088/1748-9326/aacadd. Xu, P., T. Zhou**, X. Zhao, H. Luo, S. Gao, Z. Li, and L. Cao. Diverse responses of different structured forest to drought in Southwest China through remotely sensed data. International Journal of Applied Earth Observation and Geoinformation, 2018, 69(7), 217-225, doi: 10.1016/j.jag.2018.03.009. Shi, P.J., X.M. Bai, F. Kong, J.Y. Fang, D.Y. Gong, T. Zhou, Y. Guo, Y.S. Liu, W.J. Dong, Z.G. Wei, C.Y. He, D.Y. Yu, J. A. Wang, Q. Ye, R.C. Yu, D.L. Chen. Urbanization and air quality as major drivers of altered spatiotemporal patterns of heavy rainfall in China. Landscape Ecology, 2017, 1-16, doi:10.1007/s10980-017-0538-3. Luo, H., T. Zhou**, H. Wu, X. Zhao, Q. Wang, S. Gao, and Z. Li. Contrasting Responses of Planted and Natural Forests to Drought Intensity in Yunnan, China. Remote Sensing, 2016, 8(8), 635; doi: 10.3390/rs8080635. Gao, S., T. Zhou**, X. Zhao, D. Wu, Z. Li, H. Wu, L. Du, and H. Luo. Age and climate contribution to observed forest carbon sinks in East Asia. Environmental Research Letters, 2016, 034021, doi:10.1088/1748-9326/11/3/034021. Luo, Y.,A.Ahlstrom, S.D.Allison, N.H.Batjes, V.Brovkin, N.Carvalhais, A.Chappell, P.Ciais, E.A.Davidson, A.Finzi, K.Georgiou, B.Guenet, O.Hararuk, J.W.Harden, Y.He, F.Hopkins, L.Jiang, C.Koven, R.B.Jackson,C.D.Jones, M.J.Lara, J.Liang, A.D.McGuire, W.Parton, C.Peng, J.T.Randerson, A.Salazar, C.A.Sierra,M.J.Smith, H.Tian, K.E.O.Todd-Brown, M.Torn, K.J.Groenigen, Y.Wang, T.O.West, Y.Wei, W.R.Wieder, J.Xia, X.Xu, X.Xu and T. Zhou. Toward more realistic projections of soil carbon dynamics by Earth system models. Global Biogeochemical Cycles, 2016, 30, 40–56, doi:10.1002/2015GB005239. Zhou, T., P. Shi, G. Jia, Y. Dai, X. Zhao, W. Shangguan, L. Du, H. Wu, and Y.Luo. Age-dependent forest carbon sink: Estimation via inverse modeling. Journal of Geophysical Research: Biogeosciences, 2015, 120, doi:10.1002/2015JG002943. Wu, D. H., X. Zhao, S. L. Liang, T. Zhou, K. C. Huang, B. J. Tang, and W. Q. Zhao. Time-lag Effects of Global Vegetation Responses to Climate Change. Global Chang Biology, 2015, 21, 3520–3531, doi:10.1111/gcb.12945. Huang, K., C. Yi, D. Wu, T. Zhou**, X. Zhao, W. J. Blanford, S. Wei, H. Wu, D. Ling, and Z. Li. Tipping point of a conifer forest ecosystem under severe drought. Environmental Research Letters, 2015, 10, 024011, doi:10.1088/1748-9326/10/2/024011. Zhang, X., M.S. Moran, X. Zhao, S. Liu, T. Zhou, G. E. Ponce-Campos, F. Liu. Impact of prolonged drought on rainfall use efficiency using MODIS data across China in the early 21st century. Remote Sensing of Environment, 2014, 150, 188-197. Du, L., T. Zhou**, Z. Zou, X. Zhao, K. Huang, and H. Wu. Mapping Forest Biomass Using Remote Sensing and National Forest Inventory in China. Forests, 2014, 5, 1267-1283, doi:10.3390/f5061267. Zhou, T., P. Shi, G Jia, Y Luo. Nonsteady State Carbon Sequestration in Forest Ecosystems of China Estimated by Data Assimilation. Journal of Geophysical Research, 2013, 118, 1369-1384, doi:10.1002/jgrg.20114. Zhou X., T. Zhou, Y. Luo. Uncertainties in carbon residence time and NPP-driven carbon uptake in terrestrial ecosystems of the conterminous USA: A Bayesian approach. Tellus B: Chemical and Physical Meteorology, 2012, 64, 17223, doi.10.3402/tellusb.v64i0.17223. Liu S., T. Zhou**, L. Wei, Y. Shu. The Spatial distribution of forest carbon sinks and sources in China. Chinese Science Bulletin, 2012, 57, doi:10.1007/s11434-012-4998-1. Yuan W., Y. Luo, X. Li, S. Liu, G. Yu, T. Zhou, et al. Redefinition and global estimation of basal ecosystem respiration rate. Global Biogeochemical Cycles, 2011, 25, GB4002,doi:10.1029/2011GB004150. Zhou,T., P.Shi, G.Jia, X.Li.,and Y.Luo. Spatial patterns of ecosystem carbon residence time in Chinese forests. Science in China (series D: Earth Sciences), 2010, 53(8): 1229-1240,doi: 10.1007/s11430-010-3061-9. Zhou, T., P.Shi, D. Hui, Y. Luo. Spatial patterns in temperature sensitivity of soil respiration in China: Estimation with inverse modeling. Science in China(Series C: Life Sciences), 2009, 52(10):982-989, doi:10.1007/s11427-009-0125-1. Zhou, T., P.Shi, D.Hui,and Y.Luo. Global pattern of temperature sensitivity of soil heterotrophic respiration (Q10) and its implications for carbon-climate feedback. Journal of Geophysical Research, 2009, 114, G02016, doi:10.1029/2008JG000850. Zhou, T., C.Yi, P.S.Bakwin, L.Zhu. Links between global CO2 variability and climate anomalies of biomes. Science in China (series D: Earth Sciences), 2008, 51(5): 740-747. Zhou, T., and Y.Luo. Spatial patterns of ecosystem carbon residence time and NPP-driven carbon uptake in the conterminous United States. Global Biogeochemical Cycles, 2008,22, GB3032, doi:10.1029/2007GB002939. 周涛，史培军，罗巾英，邵振艳. 基于遥感与过程模型估算土壤有机碳储量. 遥感学报，2007,11(1):127-136. 周涛，史培军，孙睿，王绍强. 气候变化对净生态系统生产力的影响. 地理学报，2004，59（3）：357-365 周涛，史培军，王绍强. 气候变化及人类活动对中国土壤有机碳储量的影响. 地理学报，2003，58（5）：727-734 周涛，仪垂祥，史培军. 辐射干燥指数影响下NDVI与气候因子的关系. 地理学报，2003，58(4)：512－518