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2019
127. Chen JM, Ju WM*, Ciais P, Viovy N, Liu RG, Liu Y, Lu XH, 2019. Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink. Nature Communications, doi.org/10.1038/s41467-019-12257-8.
126. Wang SH, Ju WM, J Peñuelas, Cescatti A, Zhou YY, Fu YS, Huete A, Liu M, and Zhang YG*, 2019. Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons. Nature Ecology and Evolution, https://doi.org/10.1038/s41559-019-0931-1.
125. Qiu B, Chen JM, Ju WM, Zhang Q, Zhang YG*, 2019. Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures. Remote Sensing of Environment, 233: DOI: 10.1016/j.rse.2019.111373.
124. Dai SP, Ju WM*, Zhang YG, He QN, Song L, and Li J, 2019. Variations and drivers of methane fluxes from a rice-wheat rotation agroecosystem in eastern China at seasonal and diurnal scales. Science of the Total Environment,690: 973-990.
123. Qiu F, Chen JM, Croft H, Li Jing, Zhang Q, Zhang YG, Ju WM*, 2019. Retrieving leaf chlorophyll content by incorporating variable leaf surface reflectance in the PROSPECT model. Remote Sensing, 11, 1572; doi:10.3390/rs11131572.
122. Zhu SH, Li GF, Shao H, Ju WM*, Lv NN, 2019. The response of carbon stocks of drylands in Central Asia to changes of CO2 and climate during past 35 years. Science of the Total Environment, 687: 330-340.
120. Li J, Ju WM*, He W, Wang HM, Zhou YL, Xu MZ, 2019. An algorithm differentiating sunlit and shaded leaves for improving canopy conductance and evapotranspiration estimates. Journal of Geophysical Research: Biogeosciences, 124, 807–824. https://doi.org/10.1029/2018JG004675.
119. Chen YZ*, Ju WM, Mu SJ, Fei XR, Cheng Y, Propastin P, Zhou W, Liao CJ, Chen LX, Tang RJ, Qi JG, Li JL, Ruan1 HH, 2019. Explicit representation of grazing activity in a diagnostic terrestrial model: a data-process combined scheme. Journal of Advances in Modeling Earth Systems, 11, 957–978. https://doi.org/10.1029/ 2018MS001352.
118. Wang HM, Jiang F*, Wang J, Ju WM, and Chen JM, 2019.Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals. Atmosphere and Chemistry Physics, 19,12067–12082.
117. Shan N, Ju WM, Migliavacca M, Martini D, Guanter L, Chen JM, Goulas Y, and Zhang YG*, 2019. Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescenc. Agricultural and Forest Meteorology, 268: 189-201.
116. Xu MZ, Liu RG*, Chen JM, Liu R, Shang R, Ju WM, Wu CY, and Huang WJ, 2019. Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach. Remote Sensing of Environment, 224, 60-73.
115. Lu XH, Ju WM*, Jiang H, Zhanga XY, Liu JX, Sherb J, 2019. Effects of nitrogen deposition on water use efficiency of global terrestrial ecosystems simulated using the IBIS model. Ecological Indictors, 101: 954-962.
114. Huang Q, Ju WM*, Zhang FY, and Zhang Q, 2019. Roles of climate change and increasing CO2 in driving changes of net primary productivity in China simulated using a dynamic global vegetation model. Sustainability, 11, 4176, doi:10.3390/su11154176.
2018
113. Liu YB, Xiao JF*, Ju WM, Zhu GL, Wu XC, Fan WL, Li DQ, and Zhou YL, 2018. Satellite-derived LAI products exhibit large discrepancies and can lead to substantial uncertainty in simulated carbon and water fluxes. Remote Sensing of Environment, 206: 174-188.
112. Lai JM, Zhan WF*, Huang F, Quan JL, Hu LQ, Gao L, and Ju WM, 2018. Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products. ISPRS Journal of Photogrammetry and Remote Sensing, 139: 212-227.
111. Wang J, Wu CY*, Zhang CH, Ju WM,Wang XY, Chen Z, Fang B, 2018.Improved modeling of gross primary productivity (GPP) by better representation of plant phenological indicators from remote sensing using a process model. Ecological Indicators, 88: 332-340.
110. Chen YZ, Tao YW, Cheng Y, Ju WM, Ye JY, Hickler T, Liao CJ, Feng L, and Ruan HH*, 2018. Great uncertainties in modeling grazing impact on carbon sequestration: a multi-model inter-comparison in temperate Eurasian Steppe. Environmental Research Letters, 13(7): 075005, DOI: 10.1088/1748-9326/aacc75.
109. Zhou L,Wang SQ*, Chi YG, Ju WM, Huang K, Mickler RA, Wang MM, Yu, QZ. Changes in the carbon and water fluxes of subtropical forest ecosystems in south-western China related to drought. Water, 10(7): 821,DOI: 10.3390/w10070821.
108. Wang J, Zeng N*, Wang MR, Jiang F, Chen JM, Friedlingstein P, Jain AK, Jiang ZQ, Ju WM, Lienert S, Nabel J, Sitch S, Viovy N, Wang HM,Wiltshire AJ. Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Ninos.Atmospheric Chemistry and Physics, 18(14): 10333-10345.
107. He W, van der Velde IR, Andrews AE, Sweeney C, Miller J, Tans P, van der Laan-Luijkx IT, Nehrkorn T, Mountain M, Ju WM, Peters W, and Chen HL*, 2018. CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations. Geoscientifc Model Development, 11(8): 3515-3536.
106.Wang SH, Zhang YG, Hakkarainen J, Ju WM, Liu YX, Jiang F, He W, 2018. Distinguishing anthropogenic CO2 emissions from different energy intensive industrial sources using OCO-2 observations: A case study in Northern China. Journal of Geophysical Research-atmosphere, 123(17): 9462-9473.
105. Zhang CH, Ju WM, Chen JM, Fang MH, Wu MQ, Chang XL, Wang T, and Wang XQ, 2018. Sustained biomass carbon sequestration by China's forests from 2010 to 2050. Forests, 9(11): 689,DOI: 10.3390/f9110689.
104. Luo XZ, Keenan TF, Fisher JB, Jimenez-Munoz JC, Chen, JM, Jiang CY,Ju WM, Perakalapudi NV,Ryu Y, Tadic JM, 2018. The impact of the 2015/2016 El Nino on global photosynthesis using satellite remote sensing. Philosophical Transactions of the Royal Society B-Biological Sciensces, 373(1760),20170409.,http://dx.doi.org/10.1098/rstb.2017.0409
103.Wu CY, Wang XY, Wang HJ, Ciais P, Peñuelas J, Myneni RB,Desai AR, Gough CM, Gonsamo A, Black AT, Jassal RS, Ju WM, Yuan WP, Fu YS, Shen MG, Li SH, Liu RG, Chen JM, and Ge QS, 2018. Contrasting responses of autumn-leaf senescence to daytime and night-time warming. Nature Climate Change, doi.org/10.1038/s41558-018-0346-z.
102. Jiang L, Zhan WF, Voogt J, Zhao LM, Gao L, Huang F, Cai Z, and Ju WM, 2018. Remote estimation of complete urban surface temperature using only directional radiometric temperatures. Building and Environment, 135: 224-236.
101. He W, Ju WM*, Schwalm CR, Sippel S, Wu XC, He QN, Zhang CH, Li J, Stich S, Viovy, N, Friedlingstein P, and Jain AK, 2018. Large-scale droughts responsible for dramatic reductions of terrestrial net carbon uptake over North America in 2011 and 2012. Journal of Physical Reseach-Biogeosciences,123, 10.1029/2018JG004520.
100.Lai J, Zhan WF, Huang F , Quan, JL, Hu LQ, Gao L, Ju WM, 2018.Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products. ISPRS Journal of Photogrammetry and Remote Sensing, 139: 212-227.
99. Song L, Guanter L, Guang KY, You LZ, Huete A, Ju WM, and Zhang YG, 2018. Satellite sun-induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo-Gangetic Plains. Global Chang Biology, 24(9): 4023-4037.
98. Ma LX, Zheng G, Wang XF, Li SM, Lin Y, and Ju WM, 2018. Retrieving forest canopy clumping index using terrestrial laser scanning data. Remote Sensing of Environment, 210: 452-472.
97. Qiu F, Chen JM, Ju WM*, Wang J, Zhan Q, and Fang MH, 2018, Improving the PROSPECT model to consider anisotropic scattering of leaf internal materials and its use for retrieving leaf biomass in fresh leaves. IEEE Transactions on Geosciences and Remote Sensing, 99, 1-19.
96. Zan M, Zhou YL*, Ju WM, Zhang YG, Zhan LM, and Liu YB, 2018. Performance of a two-leaf light use efficiency model for mapping gross primary productivity against remotely sensed sun-induced chlorophyll fluorescence data. Science of the Total Environment, 613-614: 977-989.
2017
95. Huang F, Zhan WF*, Wang ZH, Wang KC, Chen JM, Liu YX, Lai JM , Ju WM, 2017. Positive or Negative? Urbanization-induced variations in diurnal skin-surface temperature range detected using satellite data. Journal of Geophysical Research-Atmospheres,122(24): 13229-13244.
94. Chen YZ, Ju WM, Groisman P, Li JL, Propastin P, Xu X, Zhou W., and Ruan HH, 2017. Quantitative assessment of carbon sequestration reduction induced by disturbances in temperate Eurasian steppe. Environmental Research Letters, 12: 11505.
93. Chen YZ, Li JL, Ju WM, Ruan HH, Qin ZH, Huang YY, Jeeiani N, Padarian J, Propastin P, 2017. Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient. 2017,PLoS ONE 12(7): e0179875.
92. Chen ZQ, Chen JM, Zhang SP, Zheng XG, Ju WM, Mo G, and LU XL, 2017. Optimization of terrestrial ecosystem model parameters using atmospheric CO2 concentration data with the global carbon assimilation system (GCAS). Journal of Geophysical Research: Biogeosciences,122, 3218–3237.
91. Fang MH, Ju WM*, Zhan WF, Chen T, Qiu F, and Wang J, 2017. A new spectral similarity water index for the estimation of leaf water content from hyperspectral data of leaves. Remote Sensing of Environemnt,196: 13-27.
90.Sun SL*,Chen HS, Ju WM,Wang GJ, Sun G,Huang J, Ma HD, Gao CJ, Hua WJ, andYan, GX, 2017. On the coupling between precipitation and potential evapotranspiration: contributions to decadal drought anomalies in the Southwest China. Climate Dynamics, 48(11): 3779-3797.
89. Sun SL*, Chen HS ,Sun G, Ju WM,Wang GJ, Li X, Yan GX, Gao CJ, Huang J, and Zhang, FM, 2017.Attributing the changes in reference evapotranspiration in southwestern China using a new separation method. Journal of Hydrometeorology, 18(3): 777-798.
88. Zhan Q, Chen JM, Ju WM*, Wang HM, Qiu F, Yang FT, Fan WL, Huang Q, Wang YP, Feng YK, Wang XJ, and Zhang FM, 2017. Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves. Remote Sensing of Environement, 194:1-15.
87. Wang J, Chen JM, Ju WM*, Qiu F, Zhang Q, Fang MH, and Chen FG, 2017. Limited effects of water absorption on reducing the accuracy of leaf nitrogen estimation. Remote Sensing, 9, 291; doi:10.3390/rs9030291.
86. Gao L, Zhan WF, Huang F, Quan JL, Lu XM, Wang F, Ju WM, and Zhou J, 2017. Localization or globalization? Determination of the optimal regression window for disaggregation of land surface temperature. IEEE Transactions on Geosciences and Remote Sensing, 55(1):477-490.
85. Wang BJ, and Ju WM*, 2017.Limitations and improvements of the leaf optical properties model leaf incorporating biochemistry exhibiting reflectance and transmittance yields (LIBERTY). Remote Sensing, 9, 431; doi:10.3390/rs9050431
84 Zhou YL, Hilker T, Ju WM, Coops NC, Black TA, Chen JM, and Wu XC, 2017. Modeling gross primary production for sunlit and shaded canopies across an evergreen and a deciduous site in Canada. IEEE Transactions on Geosciences and Remote Sensing, 55(4):1859-1873.
2016
83. Shi XL*, Nie SP, Ju WM, and Yu L, 2016. Climate effects of the globalLand30 land cover dataset on the Beijing center climate model simulations. Science China-Earth Sciences, 59: 1754-1764.
82. Zhan WF*, Huang F, Quan JL, Zhu XL, Gao L, Zhou J, and Ju WM, 2016. Disaggregation of remotely sensed land surface temperature: A new dynamic methodology. Journal of Geophysical Research-Atmospheres, 121, doi:10.1002/2016JD024891.
81. Huang F, Zhang WF, Voogt J, Hu Leiqiu, Wang ZH, Quan JL, Ju WM, Gao Z, 2016. Temporal upscaling of surface urban heat island by incorporating an annual temperature cycle model: A tale of two cities. Remote Sensing of Environemnt, 186:1-12.
80. Liu YB, Xiao JF*, Ju WM, Xu K, Zhou YL, and Zhao YT, 2016. Recent trends in vegetation greenness in China significantly altered annual evapotranspiration and water yield. Environmental Research Letters, 11, doi:10.1088/1748-9326/11/9/094010.
79. Zhou YL, Wu XC, Ju WM*, Chen JM, Wang SQ, Wang HM, Yunan WP, Black TA, Jassal R, Ibrom A, Han SJ, Yan JH, Margolis H, Roupsard O, Li YN, Zhao FH, Kiely G, Starr G, Pavelka M, Montagnani L, Wohlfahrt G, D’Odorico P, Cook D, Arain MA, Bonal D, Beringer J, Blanken PD, Loubet B, Leclerc MY, Matteucci G, Nagy Z, Olejnik J, Paw KT, Varlagin A, 2016. Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites. Journal of Geophysical Research-Biogeosciences, 121: 1045–1072.
78. Jiang F*, Chen JM , Zhou LX, Ju WM, Zhang HF, Machida T, Ciais P , Peters W,Wang HM, Chen BZ, 2016. A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches. Scientific Reports, 6,DOI: 10.1038/srep22130.
77. Zhang Q, Ju WM, Chen JM*, Wang HM, Yang FT, Fan WL, Huang Q, Zheng T, Feng YK, Zhou YL, He MZ, Qiu F, Wang, XJ, Wang J, Zhang FM, Chou SR, 2015. Ability of the photochemical reflectance index to track light use efficiency for a sub-tropical planted coniferous forest. Remote Sensing, 7(12): 16938-16962.
2015
76. Zhang CH, Ju WM*, Chen JM, Wang XQ, Yang L, Zheng G, 2015. Disturbance- induced reduction of biomass carbon sinks of China's forests in recent years. Environmental Research Letters, 10(11), Doi: 10.1088/1748-9326/10/11/114021.
75. Chen ZQ*, Chen JM, Zheng XG, Jiang F, Qin J, Zhang SP, Yuan WP, Ju WM, Mo G, 2015. Optimizing photosynthetic and respiratory parameters based on the seasonal variation pattern in regional net ecosystem productivity obtained from atmospheric inversion. Science Bulletin, 60(22): 1954-1961.
74. Li DQ, Ju WM*, Lu DS, Zhou YL, Wang HM. Impact of estimated solar radiation on gross primary productivity simulation in subtropical plantation in southeast China
53. Sun SL, Chen HS*, Ju WM, Yu M, Hua WJ, and Yin Y, 2014. On the attribution of the changing hydrological cycle in Poyang Lake Basin, China. Journal of Hydrology, 514: 214-225.
52. Fan WL, Chen JM*, Ju WM, and Nesbitt N, 2014. Hybrid geometric optical radiative transfer model suitable foe forests on slopes. IEEE Transaction on geosciences and remote sensing, 52(9): 5579-5586.
51. Fan WL, Chen JM*, Ju WM, and Zhu GL, 2014. GOST: A geometric-optical model for sloping terrains. IEEE Transaction on geosciences and remote sensing, 52(9): 5469-5482.
50. Zhan WF*, Zhou J, Ju WM, Li MC, Sandholt I, Voogt J, and Yu C, 2014. Remotely sensed soil temperatures beneath snow-free skin-surface using thermal observations from tandem polar-orbiting satellites: An analytical three-time-scale model. Remote Sensing of Environment, 143: 1-14.
2013
49. Mu SJ, Zhou SX, Chen YZ, Li JL*, Ju WM, and Odeh I, 2013.Assessing the impact of restoration-induced land conversion and management alternatives on net primary productivity in Inner Mongolia grassland, China. Global and Planetary Chang,108: 29-41.
48. Fan WL, Ju WM*, and Gu ZJ, 2013. Method for reconstructing the pixel missing region on remote sensing images. Journal of Applied Remote Sensing, 073536-1.
47. Liu YB, Zhou YL*, Ju WM, Chen JM, Wang SQ, He HL, Wang HM, Guan DX, Zhao FH, Li YL, Hao YB, 2013. Evapotranspiration and water yield over China’s landmass from 2000 to 2010. Hydrol. Earth Syst. Sci, 13, 17:4957–4980.
46. Chen JM*, Chen X, and Ju WM, 2013. Effects of vegetation heterogeneity and surface topography on spatial scaling of net primary productivity. Biogeosciences, 10:4879-4896.
45. Sun SL, Chen HS*, Ju WM, Son J, Zhan H,Sun J, and Fang YJ, 2013. Effects of climate change on annual streamflow using climate elasticity in Poyang Lake Basin, China. Theoretical and Applied Climatology, 112:169-183.
44. He MZ, Ju WM*, Zhou YL, Chen JM, He HL, Wang SQ, Wang HM, Guan DX, Yan JH, Li YN, Hao YB, Zhao FH, 2013. Development of a two-leaf light use efficiency model for improving the calculation of terrestrial gross primary productivity. Agricultural and Forest Meteorology ,173:28-39.
43. Zhang Z, Jiang H*, Liu JX, Ju WM, Zhang XY, 2013. Effect of heterogeneous atmospheric CO2 on simulated global carbon budget. Global and Planetary Change, 101:33-51.
42. Zhang CH, Ju WM*, Chen JM, Zan M, Li DQ, Zhou YL, Wang XQ, 2013. China’s forest biomass carbon sink based on seven inventories from 1973 to 2008. Climatic Chang, 118: 933-948.
41. Liu YB, Ju WM*, He HL, Wang SQ, Sun R, and Zhang YD, 2013. Changes of net primary productivity in China during recent 11 years using an ecological model driven by MODIS data. Frontier of Earth Sciences, DOI 10.1007/s11707-012-0348-5.
40. Gu ZJ, Ju WM*, Li L, Li DQ, Liu YB, Fan WL, 2013. Using vegetation indices and texture measures to estimate vegetation fractional coverage (VFC) of planted and natural forests in Nanjing City, China. Advances in Space Research, 51:1186-1194.
39.He MZ, Zhou YL, Ju WM*, Chen JM, Zhang L, Wang SQ, Saigusa N, Hirata R, Murayama S, Liu YB, 2013. Evaluation and improvement of MODIS gross primary productivity in typical forest ecosystems of East Asia based on eddy covariance measurements. Journal of Forest Research, 18: 31-40.
2012
38. Liu Y, Liu RG*, Chen JM, Ju WM, 2012. Expanding MISR LAI products to high temporal resolution with MODIS observations. IEEE Transactions on Geosciences and Remote Sensing, 50(10Part1): 3915-3927.
37. Zhou YL, Sun XM*, Ju WM, Wen XF, Guan DX, 2012. Seasonal, Diurnal and wind-direction-dependent variations of the aerodynamic roughness length in two typical forest ecosystems of China. Terrestrial Atmospheric and Oceanic Sciences, 23(2):181-191.
36. Sun XL,Chen HS*, Ju WM, Song J, Li JJ, Ren YJ, and Sun J, 2012. Past and future changes of streamflow in Poyang Lake Basin, Southeastern China. Hydrological Earth System Sciences, 16: 2005-2020.
35. Zhang FM*, Chen JM, Pan YD, Birdsey RA, Shen SH, Ju WM, He LM, 2012. Attributing carbon changes in conterminous U.S. forests to disturbance and non-disturbance factors from 1901 to 2010. Journal of Geophysical Research-Biogeosciences, 117: DOI: 10.1029/2011jg001930.
34. Zhang FM*, Ju WM, Shen SH, Wang SQ, YU GR, Han SJ, 2012. Variations of Terrestrial Net Primary Productivity in East Asia. Terrestrial Atmospheric and Oceanic Sciences, 23(4): 425-437.
33. Gu ZJ, Ju WM*, Liu YB, Li DQ, Fan WL, 2012. Applicability of spectral and spatial information from IKONOS-2 imagery in retrieving leaf area index of forests in the urban area of Nanjing, China. Journal of Applied Remote Sensing, 6,063556.
32. Zhou YL, Ju WM*, Sun XM, Wen XF, and Guan DX, 2012. Significant decrease of uncertainties on sensible heat flux simulation using temporally variable aerodynamic roughness in two typical forest ecosystems of China. Journal of Applied Meteorology, 51(6): 1099-1110.
31. Liu YB, Ju WM*, Chen JM, Zhu GL, Xing BL, Zhu JF, 2012. Spatial and temporal variations of forest LAI in China during 2000-2010. Chinese Science Bulletin, 57(22): 2846-2856.
30. Zhu GL, Ju WM*, Chen JM, Gong P, Xing BL, Zhu JF, 2012. Foliage Clumping Index Over China's Landmass Retrieved From the MODIS BRDF Parameters Product. IEEE Transactions on Geosciences and Remote Sensing, 50(6): 2122-2137.
2011
29. Wang SQ, Zhou L, Chen JM, Ju WM, Feng XF, Wu WX, 2011.Relationships between net primary productivity and stand age for several forest types and their influence on China’s carbon balance. Journal of Environmental Management, 92: 1651-1662.
2010
28. Ju WM*, Chen JM, Black TA, Barr AG, and McCaughey H. 2010. Spatially simulating changes of soil water content and their effects on carbon sequestration in Canada’s forests and wetlands. Tellus 62B: 140-159.
27. Ju WM*, Wang SQ, Yu GR, Zhou YL, and Wang HM, 2010. Modelling the impact of drought on canopy carbon and water fluxes for a subtropical evergreen coniferous plantation in southern China through parameter optimization using an ensemble Kalman filter. Biogeosciences. 7: 845-857.
26. Ju WM*, Gao P, Zhou YL, Chen JM, Chen S, and Li XF, 2010. Prediction of summer grain crop yield with a process-based ecosystem model and remote sensing data for the northern area of Jiangsu Province, China. International Journal of Remote Sensing, 31(6):1573-1587.
25. Ju WM*, Gao P, Wang J, and Zhang XH, 2010. Combing an ecological model with remote sensing and GIS techniques to monitor soil water content of croplands with a monsoon climate. Agricultural Water Management, 97: 1221-1231.
24. Wang J*, Chen JM, Ju WM, Li MC, 2010. IA-SDSS: A-GIS-based land use decision support system with consideration of carbon sequestration. Environmental Modelling and Software ,25: 539-553.
23. Ma RH*, Duan HT, Hu CM, Feng XZ, Li AN, Ju WM, Jiang JH, and Yang GS, 2010. A half-dentury of changes in China’s lakes: Global warning or human influces? Geophysical Research Letters, 37: L24106, doi: 10.1029/2010GL045514.
2009
22. Govind A*, Chen JM, and Ju WM. 2009.Spatially explicit simulation of hydrologically controlled carbon and nitrogen cycles and associated feedback mechanisms in a boreal ecosystem. Journal of Geophyscial Research,114: G02006, doi:10.1029/2008JG000728.
2008
21. Chen JM*, Huang S, Ju WM, Goumont-Guay D, Black TA. 2008. Daily heterotrophic respiration model considering the non-linear effect of diurnal temperature variability. Journal of Geophysical Research-Biogeosciences, 114: G01022, doi:10.1029/2008JG000834, 2009.
20. Govind A*, Chen JM, Margolis H, Ju WM, Sonnentag O, and Giasson M-A, 2009. A spatially explicit hydro-ecological modeling framework (BEPS-TerranLab V2.0): Model description and test in a boreal ecosystem in Eastern North America. Journal of Hydrology ,367: 200-216.
19. Sonnentag O*, Chen JM, Ju WM, and A Govind, 2008. Spatially explicit simulation of peatland hydrology and carbon dioxide exchange: Influence of mesoscale topography. Journal of Geophysical Research, 113: G02005, doi: 10.1029/2007JG000605.
18. Mo XG*, Chen JM, Ju WM, and Black TA, 2008. Optimization of ecosystem model parameters through assimilating eddy covariance flux data with an ensemble Kalman filer. Ecological Modelling, 217: 157-173.
17. Ju WM* and Chen JM, 2008. Simulating the effects of past changes in climate, atmospheric composition, and fire disturbance on soil carbon in Canada’s forests and wetlands. Global biogeochemical Cycles, 22, GB3010, doi:10.1029/2007GB002935.
2007
16. Chen B*，Chen JM, and Ju WM , 2007. Remote sensing-based ecosystem-atmosphere simulation scheme (EASS)-Model formulation and test with multiple-year data.Ecological Modell ing, 2007, 209: 277-300.
15. Wang SQ*, Chen JM, Ju WM, Feng XF, Chen MZ, Chen PQ, and Yu GR., 2007. Carbon sinks and sources of China’s forests during 1901-2001. Journal of Environmental Management, 85: 524-537.
14. Ju WM*, Chen JM, Harvey D, and Wang S, 2007. Future carbon balance of China’s forests under climate change and increasing CO2. Journal of Environmental Management, 85: 538-562.
13. Caldwell I, Maclaren V*, Chen JM, Ju WM, Zhou S, and Yin Y, 2007. An integrated assessment model of carbon sequestration benefits: a case study of Liping County, China. Journal of Environmental Management, 85: 757-773.
12. Chen XF, Chen JM*, An SQ, and Ju WM, 2007. Effects of topography on simulating net primary productivity at landscape scale. Journal of Environmental Management, 85: 585-596 .
11. Zheng G*, Chen JM, Tian QJ, Ju WM, and Xia XQ, 2007. Combing remote sensing imagery and forest age inventory for biomass mapping, Journal of Environmental Management, 85: 616-623.
10. Shao YH, Pan JJ*, Yang LX, Chen JM, Ju WM, and Shi XZ, 2007. Validation of soil organic carbon density using the InTEC model. Journal of Environmental Management, 85: 696-701).
9. Feng XF*, Liu GH, Chen JM, Chen MZ, Liu J, Ju WM, Sun R, Zhou W, 2007. Simulating net primary productivity of terrestrial ecosystems in China. Journal of Environmental Management, 85: 562-575.
8. Yang LX, Pan JJ*, Shao YH, Chen JM, Ju WM, Shi XZ, Yuan SF, 2007. Soil organic decomposition and carbon pools in temperate and sub-tropical forests in China. Journal of Environmental Management, 85: 690-695.7.
2006
7. Ju WM*, Chen JM, Black TA, Barr AG, Liu J, and Chen B, 2006. Modelling multi-year coupled carbon and water fluxes in a boreal aspen forest. Agricultural and Forest Meteorology, 140: 136-151.
6. Ju WM*, Chen , JMBlack TA, Barr AG, McCaughey H, and Roulet NT, 2006. Hydrological effects on carbon cycles of Canada’s forests and wetlands. Tellus 58B: 16-30.
2005
5. Wang QF*, Niu D, Yu GR, Ren CY, Wen XF, Chen JM, and Ju WM, 2005. Simulating the exchanges of carbon dioxide, water vapor and heat over Changbai Mountains temperate broadleaved Korean pine mixed forest ecosystem. Science in China Series, D48: 148-159 Supp l.1.
4. Ju WM*, Chen JM, 2005. Distribution of soil carbon stocks in Canada’s forests and wetlands simulated based on drainage class, topography and remotely sensed vegetation parameters. Hydrological Processes, 19: 77-94.
3. Chen JM*, Chen X, Ju WM ,Geng, X, 2005. Distributed hydrological model for mapping evapotranspiration using remote sensing inputs. Journal of Hydrology, 305: 15-39.
2. Chen JM, Ju WM*, Cihlar J, Price D, Liu J, Chen WJ, Pan J, Blcak A and Barr A, 2003, Spatial distribution of carbon sources and sinks in Canada’s forests. Tellus 55B: 622-641.
2000
1. Jin L*, Ju WM, and Miao QL, 2000. Study on ANN-based multi-step prediction model of short-term climatic variation. Advances in Atmospheric Sciences 17:157-164.
EI论文
14. Liu YB, Ju WM, He MZ, Zhu GL, Zhou YL, 2012.Decrease of net primary productivity in China's terrestrial ecosystems caused by severe droughts in 2009. Proceedings of the 2nd International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2012, 59-63.
13. Xu JH, Ju WM, Hu ZW, 2012.Object-oriented land cover classification of HJ-1B CCD image through multiple classifier fusion. Proceedings –the 20th International Conference on Geoinformatics, Geoinformatics 2012.
12. Zhu YJ,Ju WM, Zhou YL.2011.Impacts of ice storm on forest gross primary productivity detected using multi-source remote sensing data.Proceedings of Geoinformatics 2011.
11. Fang WL,Chen JM,Ju WM.2011. A pixel missing patch inpainting method for remote sensing image.Proceedings of Geoinformatics 2011.
10. Li DQ,Li XF,Ju WM.2011.Interaction between water and carbon cycles in Lushui River simulated using an ecological model driven by remote sensing. Proceedings of Geoinformatics 2011.
9. Ma JD,Ju WM.2011. Mapping leaf index for the urban area of Nanjing city, China using IKONOS remote sensing data. Proceedings of Geoinformatics 2011.
8. Zhu GL, Ju WM, Chen JM, Zhou YL, Li XF, Xu XX. Comparison of Forest Leaf Area Index Retrieval Based on Simple Ratio and Reduced Simple Ratio. 2010, Proceedings of Geoinformatics 2010.
7. Xing BL, Ju WM, Zhou YL, Zhu GL, Li XF, Liu YB, Zhu JF. The Comparison of different methods to measure leaf area index of forests in Maoershan Mountain, northeastern China. 2010, Proceedings of Geoinformatics 2010 .
6. Zhu JF, Ren Y, Ju WM. Effects of land cover types and forest age on evapotranspiration detected by remote sensing in Xiamen City, China. 2010, Proceedings of Geoinformatics 2010.
5. He MZ, Zhou YL, Liu GH, Weimin Ju, Li XF, Zhu GL. Validation of MODIS gross primary productivity for a subtropical coniferous plantation in southern China. 2010, Proceedings of Geoinformatics 2010.
4. Wang J, Ju WM, Li MC, 2009. Characterizing urban growth of Nanjing, China, by using multi-stage remote sensing images and landscape metrics. Proceedings of 2009 Urban Remote Sensing Joint Event .
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