研究员

范泽孟

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    范泽孟,男,云南镇雄人,博士/博士后,博士生导师,中国科学院地理科学与资源研究所研究员,中国科学院特聘骨干岗位研究员,中国科学院大学资源环境学院/国际学院岗位教授。兼任中国生态学会生态模型专业委员会秘书长、中国环境学会生态环境模型专业委员会常务委员、中国地理信息科学理论与方法委员会委员、中国自然资源学会世界资源研究分会委员。

    长期致力于生态建模与系统模拟、土地利用/覆被变化曲面建模、生态系统服务量化模拟与综合评估模型等相关领域研究。在国内外期刊上发表学术论文120余篇,其中SCI论文50余篇,获得发明专利4项,软件著作权2项,出版和参与出版专著8部。


研究领域与研究方向:

研究领域:地理信息科学、生态环境信息学

主要研究方向:生态建模与系统模拟、土地利用/覆被变化曲面建模、生态系统服务量化模拟与综合评估等


教育背景:

2002.09~2005.06,中国科学院地理资源所,理学博士

1999.09~2002.07,兰州大学资源环境学院,理学硕士

1995.09~1999.07,兰州大学资源环境学院,理学学士


工作经历:

2025.01 - 至 今,中国科学院地理科学与资源研究所,地理信息科学与技术全国重点实验室,研究员

2021.12 - 2024.12,中国科学院地理科学与资源研究所,资源与环境信息系统国家重点实验室,研究员

2014.09 - 2015.10,美国乔治梅森大学,国家公派访问学者

2009.07 - 2021.11,中国科学院地理科学与资源研究所,资源与环境信息系统国家重点实验室,副研究员2007.07 - 2009.06,中国科学院地理科学与资源研究所,资源与环境信息系统国家重点实验室,助理研究员

2005.07~2007.06,中国科学院生态环境研究中心,博士后


获奖情况:

2023年 北京市自然科学二等奖

2023年 中国地理科学十大研究进展

2022年 中国生态环境十大科技进展


主要研究项目:

[1]国家自然科学基金重大项目子课题, 乡村地域系统转型机理及测度模型, 主持,2023-2027.

[2]国家自然科学基金面上项目,生态过渡带土地覆盖变化情景模拟及归因研究,主持,2020-2023

[3]生态环保部生物多样性专项子课题:生物多样性与土地利用变化的相互作模型,主持,2020-2020.

[4]国家重点研发计划项目子课题,全球土地利用/覆盖变化情景模拟,主持,2017-2022.

[5]国家重点研发计划项目子课题,生物多样性变化综合分析模型研发,主持,2018-2021

[6]国家自然科学基金重点项目子课题,黑河上游植被类型及其空间分布的动态模拟,主持,2014-2017. 

[7]环保部南京环境科学研究所委托项目,生物多样性变化的多情景预测分析,主持,2013-2014.

[8]国家自然科学基金面上项目,植被生态系统气候敏感带及其格局变化的时空分析模型,主持,2013-2016. 

[9]973项目专题,气候变化影响LUCC的机理分析,主持,2010-2014. 

[10]973项目专题,生态系统格局及结构变化,主持,2009-2013. 

[11]国家自然科学青年基金,基于气候变化的植被生态系统时空分析模型,主持, 2009-2011.

[12]科技支撑项目专题,基于生态系统服务功能变化的生态系统退化识别,主持, 2008-2010.


代表性论文:

[1]Wang LJ, Fan ZM#, Li SB, et al., 2025. Vegetation mapping and scenario simulation in the Poyang Lake basin of China. Forests, 16, 430. 

[2]Bai XY, Fan ZM#, Yue TX, 2023. Dynamic pattern-effect relationships between precipitation and vegetation in the semi-arid and semi-humid area of China. CATENA, 232,107425

[3]Zhao SR, Fan ZM#, Gao X, 2022. Spatiotemporal dynamics of land cover and their driving forces in the Yellow River Basin since 1990. Land, 11, 1563. 

[4]Fan ZM#, Bai XY, Zhao N, 2022. Explicating the responses of NDVI and GDP to the poverty alleviation policy in poverty areas of China in the 21st century. PLOS ONE, 17(8): e0271983. 

[5]Fan ZM#. Simulation of land cover change in Jing-Jin-Ji region under different scenarios of SSP-RCP. Journal of Geographical Sciences, 2022, 22(3), 421-440. 

[6]Fan ZM#, Bai XY, 2021. Scenarios of potential vegetation distribution in the different gradient zones of Qinghai-Tibet Plateau under future climate change. Science of the Total Environment, 2021, 796: 148918.

[7]Fan ZM#, 2021. Dynamic Patterns of the Vertical Distribution of Vegetation in Heihe River Basin since the 1980s. Forests, 12, 1496.

[8]Fan ZM, Li SB, Fang HY, 2021. Explicating the mechanisms of land cover change in the New Eurasian Continental Bridge Economic Corridor region in the 21st century. J. Geogr. Sci., 31(10):1403-1418.

[9]Fan ZM#, 2021. Spatial identification and scenario simulation of the ecological transition zones under the climate change in China. Journal of Geographical Sciences, 31(4): 497-517. 

[10]Zhao N#, Fan ZM#, Zhao MM, 2021. A New Approach for Estimating Dissolved Oxygen Based on a High-Accuracy Surface Modeling Method. Sensors, 21, 3954 

[11]Fang HY#, Fan ZM#, 2021. Fingerprinting sediment sources of the Shouchang River in the Southeastern China. Environmental Earth Sciences, 80:33. 

[12]Fan ZM#, Li SB, Fang HY, 2020. Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data. Remote Sensing, 12, 3170.

[13]Fan ZM#, Bai RY, Yue TX, 2020. Scenarios of land cover in Eurasia under climate change. Journal of Geographical Sciences, 30(1): 3-17

[14]Yue TX#, Fan ZM#, B. Fan B. et al.,2020. A new approach to modeling the fade-out threshold of coronavirus disease, Science Bulletin, Science Bulletin, 65, 1225–1227.

[15]Zhang B., Fan ZM#, Du Z.P., et al., 2020. A geomorphological regionalization using the upscaled DEM: the Beijing-Tianjin-Hebei area, China Case Study. Scientific reports, 10:10532. 

[16]Fang HY#, Fan ZM#, 2020. Impacts of climate and land use changes on water and sediment yields for the black soil region, northeastern China. Environment Development and Sustainability, 1-20.

[17]Yue T#, Zhao N, Liu Y, Wang Y, Zhang B, Du Z, Fan Z#, et al., 2020. A fundamental theorem for eco-environmental surface modelling and its applications. Science China Earth Sciences, 63(8): 1092–1112

[18]Fan ZM#, Fan B, Yue TX, 2019. Terrestrial ecosystem scenarios and their response to climate change in Eurasia. Science China-Earth Sciences, 62, 10: 1607–1618 

[19]Fan ZM#, Bai R Y, Yue TX, 2019. Spatio-temporal distribution of vascular plant species abundance on Qinghai-Tibet Plateau. Journal of Geographical Sciences, 29(10): 1651-1662.

[20]Fan ZM#, Fan Bin, 2019. Shifts of the mean center of potential vegetation ecosystems under future climate change in Eurasia. Forest, 10,873, 1-14

[21]Yue TX#, Zhao N, Fan ZM#, et al. 2016. CMIP5 downscaling and its uncertainty in China. Global and Planetary Change, 146: 30-37. 

[22]Fan ZM#, Li J, Yue TX, et al., 2015. Scenarios of land cover in Karst area of Southwestern China. Environmental Earth Sciences, 4:6407–6420.

[23]Fan ZM#, Li J, Yue TX, Land-cover changes of biome transition zones in Loess Plateau of China. Ecological Modelling, 2013, 252, 129-140.

[24]Fan ZM#, Zhang X, Li J, et al., 2013, Land-cover changes of national nature reserves in China. Journal of Geographical Sciences. J. Geogr. Sci., 23(2): 258-270.

[25]Yue TX, Fan ZM, Chen CF, et al., 2011. Surface modelling of global terrestrial ecosystems under three climate change scenarios. Ecological Modelling, 222: 2342–2361.

[26]Chen CF, Fan ZM, Yue TX, et al., 2011. A robust estimator for the accuracy assessment of remote sensing derived DEMs. International Journal of Remote Sensing. 33(8): 2482-2497

[27]Yue TX, Fan ZM, Liu JY, 2007. Scenarios of Land cover in China. Global and Planetary Change, 55: 317-342.

[28]Yue TX, Fan ZM, Liu JY, et al., 2006. Scenarios of Major Terrestrial Ecosystems in China. Ecological Modelling, 199: 363-376. 

[29]Yue TX, Fan ZM, Liu JY, 2005, Changes of Major Terrestrial Ecosystems in China since 1960. Global and Planetary Change, 48: 287-302.


研究生招生与培养:

招生专业:地图学与地理信息系统

招生方向:生态模型与系统模拟

欢迎具有GIS、遥感、地理、生态、气象、计算机或数学背景的相关专业考生报考


联系方式:

通讯地址:北京市朝阳区安外大屯路甲11号,中国科学院地理科学与资源研究所,100101

办公电话:010-64888957 

E - mailfanzm@lreis.ac.cn

  



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