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2021
54. Zhang YG*, Zhang Q., Liu L., Zhang YJ, Wang SQ, et al. ChinaSpec: a Network for Long-term Ground-based Measurements of Solar-induced Fluorescence in China. Journal of Geophysical Research - Biogeosciences, 2021, https://doi.org/10.1029/2020JG006042.
53. Shan N, Zhang YG*, Chen JM, Ju W, Migliavacca M, et al. A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence, Remote Sensing of Environment, 2021, 252(1):112134.
2020
52. Zhang YG*, Migliavacca M., Penuelas J., Ju W. Advances in hyperspectral remote sensing of vegetation traits and functions. Remote Sensing of Environment, 2020, 252(1),DOI: 10.1016/j.rse.2020.112121
51. Wang S, Zhang YG*, Ju W, Qiu B, Zhang Z. Tracking the seasonal and inter-annual variations of global gross primary production during last four decades using satellite near-infrared reflectance data. Science of the Total Environment, 2020, 755(Pt 2):142569.
50. 詹春晖，章钊颖，张永光*. 日光诱导叶绿素荧光辐射传输模型研究进展. 遥感学报， 2020，24(8):945-959.
49. Wang Songhan, Yongguang Zhang*, Weimin Ju, Jing M. Chen, Philippe Ciais, Alessandro Cescatti, Jordi Sardans, Ivan A. Janssens, MousongWu, Joseph A. Berry, Elliott Campbell, Marcos Fernández-Martínez, Ramdane Alkama, Stephen Sitch, Pierre Friedlingstein, William K. Smith, Wenping Yuan, Wei He, Danica Lombardozzi, Markus Kautz, Dan Zhu, Sebastian Lienert, Etsushi Kato, Benjamin Poulter, Tanja G. M. Sanders, Inken Krüger, Rong Wang, Ning Zeng, Hanqin Tian, Nicolas Vuichard, Atul K. Jain, Andy Wiltshire, Vanessa Haverd, Daniel S.Goll, Josep Peñuelas. Recent global decline of CO2 fertilization effects on vegetation photosynthesis. Science, 2020, 370(6522), 1295-1300.
48. Wang, S., Y.G. Zhang*,W. Ju, A. Porcar-Castell, S. Ye, Z. Zhang, C.Brümmer, M. Urbaniak, I. Mammarella, R. Juszczak, K. F. Boersma. Warmer spring alleviated the impacts of 2018 European summer heatwave and drought on vegetation photosynthesis. Agricultural and Forest Meteorology, 2020.
47. Li J., Y.G. Zhang*, L Gu, Z. Li, J. Li, Q. Zhang, Z. Zhang, L. Song. Seasonal variations in the relationships between sun-induced chlorophyll fluorescence and photosynthetic capacity from leaf to canopy in a rice paddy. Journal of Experimental Botany, 2020, eraa408, https://doi.org/10.1093/jxb/eraa408
46. Zhang Z., Y.G. Zhang*,Y. Zhang, J.M. Chen.Correcting Clear‐Sky Bias in Gross Primary Production Modeling From Satellite Solar‐Induced Chlorophyll Fluorescence Data. JGR Biogeosciences, 2020, 125(9),https://doi.org/10.1029/2020JG005822
45. Zhang Z., Y.G. Zhang*,Q. Zhang, J.M. Chen, A. Porcar-Castell, L. Guanter, Y. Wu, X. Zhang, H. Wang, D. Ding, Z. Li.Assessing bi-directional effects on the diurnal cycle of measured solar-induced chlorophyll fluorescence in crop canopies. Agricultural and Forest Meteorology, 2020, 295, 108147. https://doi.org/10.1016/j.agrformet.2020.108147
44. Zhang Z., Y.G. Zhang*, A. Porcar-Castell, J. Joiner, L. Guanter, X. Yang, M. Migliavacca, et al. Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 2020, 111722. https://doi.org/10.1016/j.rse.2020.111722
43. Zhang Z. Y.G. Zhang*, Y. Zhang, N. Gobron, C. Frankenberg, S. Wang, Z. Li.The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 2020, 240, 111686. https://doi.org/10.1016/j.rse.2020.111686
42. Gao Y, Wang S, Guan K, Wolanin A, You L, Ju W, Zhang YG*. The Ability of Sun-Induced Chlorophyll Fluorescence From OCO-2 and MODIS-EVI to Monitor Spatial Variations of Soybean and Maize Yields in the Midwestern USA. Remote Sensing, 2020, 12(7):1111.
41. Li Z., Q. Zhang, J. Li, X. Yang, Y. Wu, Z. Zhang, S. Wang, H. Wang, Y.G. Zhang*. Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements. Remote Sensing of Environment, 2020, 236, 111420. https://doi.org/10.1016/j.rse.2019.111420.
2019
40. Zhang, Z., Chen, J. M., Guanter, L., He, L., YG. Zhang*. (2019). From canopy‐leaving to total canopy far‐red fluorescence emission for remote sensing of photosynthesis: First results from TROPOMI. Geophysical Research Letters, 46. https://doi.org/10.1029/2019GL084832.
39. Qiu B., J. M. Chen, W. Ju, Q. Zhang, Y. Zhang*. Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures. Remote Sensing of Environment, 2019, 233, 111373. https://doi.org/10.1016/j.rse.2019.111373
38.Yaping Cai, Kaiyu Guan, David Lobell, Andries B Potgieter, Shaowen Wang, Jian Peng, Tianfang Xu, Senthold Asseng, Yongguang Zhang, Liangzhi You and Bin Peng. Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches. Agricultural and Forest Meteorology, 2019, 274, 144-159.
37. Wang S., W. Ju, J. Penuelas, A.Cescatti, Y. Zhou, Y. Fu, A. Huete, M. Liu, Y. Zhang*.Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons. Nature Ecology & Evolution, 2019, 3(7): 1076-1085. DOI: 10.1038/s41559-019-0931-1.
36. A. Wolanin, G. Camps-Valls, L. Gómez-Chova, G. Mateo-García, C. van der Tol, Y.Zhang, L.Guanter. Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations. Remote Sensing of Environment,2019, 225:441-457.
35. Bo Qiu, W. Li, X. Wang, L. Shang, Q. Song, W. Guo, Y. Zhang*. Satellite-observed solar-induced chlorophyll fluorescence reveals higher sensitivity of alpine ecosystems to snow cover on the Tibetan Plateau. Agricultural and Forest Meteorology, 2019, 271:126-134.
34. Shan N., W. Ju, M. Migliavacca, D. Martini, L. Guanter, J.M. Chen, Y. Goulas, Y. Zhang*. Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescence. Agricultural and Forest Meteorology, 2019, 268, 189-201,https://doi.org/10.1016/j.agrformet.2019.01.031
2018
33. S. Wang, Y. Zhang*, J.Hakkarainen, W.Ju, Y. Liu*, F. Jiang, W. He. 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, https://doi.org/10.1029/2018JD029005.
32. Z.Zhang, Y. Zhang*, J. Joiner, M.Migliavacca. Angle matters: bidirectional effects impact the slope of relationship between gross primary productivity and sun‐induced chlorophyll fluorescence from Orbiting Carbon Observatory‐2 across biomes. Global Change Biology, 2018, https://doi.org/10.1111/gcb.14427.
31. Song L., L. Guanter, K. Guan, L. You, A. Huete, W. Ju, Y. Zhang*.Satellite sun-induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo-Gangetic. Global Change Biology, 2018, DOI: 10.1111/GCB.14302.
30. Zhang Y. , X. Xiao, S. Wolf, J.Wu, X.i Wu, B.Gioli, G. Wohlfahrt, A. Cescatti, C. van der Tol, S.Zhou, C.M. Gough, P. Gentine, Y. Zhang, R. Steinbrecher and J. Ardö . Spatio-temporal Convergence of Maximum Daily Light‐Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll. Geophysical Research Letters, 2018, 15 April, https://doi.org/10.1029/2017GL076354 .
29. Zhang Y.* , L. Guanter, J. Joiner, L. Song, K. Guan. Spatially-explicit monitoring of crop photosynthetic capacity through space-based chlorophyll fluorescence data. Remote Sensing of Environment, 2018,210, 362-374. https://doi.org/10.1016/j.rse.2018.03.031
28. 章钊颖，王松寒，宋练，邱博，张永光* .日光诱导叶绿素荧光遥感反演及碳循环应用进展. 遥感学报, 2018 .
27. Qiu B., Y. Xue, J. B. Fisher, W. Guo, J. A. Berry, Y. Zhang . Satellite Chlorophyll Fluorescence and Soil Moisture Observations Lead to Advances in the Predictive Understanding of Global Terrestrial Coupled Carbon‐Water Cycles. Global Biogeochemical Cycles, 2018, https://doi.org/10.1002/2017GB005744.
26. Zhang Y., X Xiao, Y Zhang , S Wolf, S Zhou, J Joiner, L Guanter, et al. On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals. Remote Sensing of Environment, 2018, 205, 276-289.
2017
25. M Zan, Y Zhou, W Ju, Y Zhang , L Zhang, Y Liu. 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, 2017, 613, 977-989.
24. Qian Zhang, Jing M. Chen, Weimin Ju, Huimin Wang, Feng Qiu, Fengting Yang, Weiliang Fan, Qing Huang, et al. Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves. Remote Sensing of Environment, 2017, 194: 1-15.
2016
23. Yang H., Yang X., Zhang Y ., Heskel M.A., Lu X., Munger J.W., Sun S., Tang J. Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest. Global Change Biology, 2016 Dec 14. doi: 10.1111/gcb.13590.
22. Ma X., Huete A., Cleverly J., Eamus D., Chevallier F., Joiner J., Poulter B., Zhang Y. , Guanter L., Meyer W., Xie Z., Ponce-Campos G. Drought rapidly diminishes the large net CO2 uptake in 2011 over semi-arid Australia. Scientific Report, 2016 Nov 25; 6:37747. doi: 10.1038/srep37747.
21. Zhang Y.* , L. Guanter, J.A. Berry, C. van der Tol, X. Yang, J. Tang, F. Zhang. Model-based analysis of the relationship between sun-induced chlorophyll fluorescence and gross primary production for remote sensing applications. Remote Sensing of Environment, 2016, 187, 145-155, 10.1016/j.rse.2016.10.016.
20. Walther S., Voigt M., Thum T., Gonsamo A., Zhang Y. , Koehler P., Jung M., Guanter L. Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests. Global change biology, 2016, doi:10.1111/gcb.13200.
19. Wagle P., Y. Zhang* , C.Jin, and X. Xiao. Comparison of solar-induced chlorophyll fluorescence, light-use efficiency, and process-based GPP models in maize. Ecological Applications, 2016, 26(4), 1211–1222.
18. Zhang Y., X. Xiao, C. Jin, J. Dong, S. Zhou, P. Wagle, J. Joiner, L. Guanter, Y. Zhang , G. Zhang, Y. Qin, J. Wang, B. Moore III. Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America. Remote Sensing of Environment, 2016,183, 154-169.
17. Guan K., J. Berry, Y. Zhang , J. Joiner, L. Guanter, G. Badgley, and D. B. Lobell. Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence. Global Change Biology, 2016, 22, 716–726, doi: 10.1111/gcb.13136.
2015
16. Zhang Y. *, M. Voigt, H. Liu. Contrasting responses of terrestrial ecosystem production to hot temperature extreme regimes between grassland and forest. Biogeosciences, 2015, 12, 549-556.
2014年
15. Zhang Y. * , L. Guanter, J.A. Berry, C. van der Tol, J. Joiner, A. Huete, A. Gitelson, M. Voigt, P. Kohler. Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models. Global Change Biology, 2014/10, doi: 10.1111/gcb.12664.
14. Guanter L., Y. Zhang , M. Jung, J. Joiner, M.Voigt, J. A. Berry, C. Frankenberg, A. Huete, P. Zarco-Tejada, J-E. Lee, M. S. Moran, G. Ponce-Campos, C. Beer, G. Camps-Valls, N. Buchmann, D. Gianelle, K. Klumpp, A. Cescatti, J. Baker, and T.J. Griffis. Linking large-scale chlorophyll fluorescence measurements with crop gross primary production. PNAS, 2014 /6, doi: 10.1073/ pnas.1406996111.
13. Zhang Y. * , M. Voigt, H. Liu. Contrasting responses of terrestrial ecosystem production to hot temperature extreme regimes between grassland and forest. Biogeosciences, Discuss., 11, 1–21, 2014, doi:10.5194/bgd-11-1-2014.
12. Joiner J., Y. Yoshida, A. P. Vasilkov, K. Schaefer, M. Jung, L. Guanter, Y. Zhang , S. Garrity, E. M. Middleton, K. F. Huemmrich, L. Gu. The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem-atmosphere carbon exchange. Remote Sensing of Environment, 2014,152, 375-391.
11. Guanter L.#, Y. Zhang# , M. Jung, J. Joiner, M.Voigt, J. A. Berry, C. Frankenberg, A. Huete, P. Zarco-Tejada, J-E. Lee, M. S. Moran, G. Ponce-Campos, C. Beer, G. Camps-Valls, N. Buchmann, D. Gianelle, K. Klumpp, A. Cescatti, J. Baker, and T.J. Griffis. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. PNAS , 2014/3, doi: 10.1073/pnas.1320008111 (共同一作, NASA and Science news report).
10. Moran M.S., G. Ponce, A.R. Huete, M.P., McClaran, Y. Zhang , , E. P. Hamerlynck, D. Augustine, S.G. Kitchen, and D. Peters. Functional Response of U.S. Grasslands to the Early 21st Century Drought. Ecology, 2014, 95:2121-2133.
2013年
9. Ponce G., Moran M.S., A.R. Huete, Y. Zhang , C. Bresloff, T. Huxman, D. Bosch, M.P., McClaran, S.G. Kitchen, A. Buda, S. Gunter, H. McNab, D. Peters, P. Starks, D.S. Montoya, T. Heartsill, T. McVicar, D. Eamus, and R. Donohue. Ecosystem resilience despite large-scale altered hydroclimatic conditions. Nature , 2013/1, DOI: 10.1038/nature11836.
8. Zhang Y. * , M.S. Moran, M.A. Nearing, G. Ponce, A.R. Huete, H S.G. Kitchen, J.A. Morgan, M.P., McClaran, R.G. Denten, A. Buda, S. Gunter, H. McNab, D. Peters, and P. Starks. Extreme precipitation patterns reduced terrestrial ecosystem production across biomes. JGR-Biogeoscience, 2013, doi:10.1029/2012JG002136. (AGU Research Spotlight ).
2012年
7. Zhang Y. * , M. Hernandez, E. Anson, M.A. Nearing, H. Wei, J.J. Stone, and P. Heilman. Modeling climate change effects on runoff and erosion in southeastern Arizona rangelands and mitigation with traditional rangeland conservation practices. Journal of Soil and Water Conservation. 2012, 08, 67:390-405.
6. Wei, H., P. Heilman, J. Qi, M.A. Nearing, Z. Gu, Y. Zhang . Using TIMESAT with AVHRR imagery to analyze phenology in China from 1982 to 2006. Frontiers in earth science.2012, 6(3): 227–2DOI 10.1007/s11707-012-0321-3.
2011年之前
5. Zhang Y. *, M. A. Nearing, B. Liu, R.S. Van Pelt, J.J. Stone, H. Wei, R.L. Scott. Comparative rates of wind versus water erosion from a small semiarid watershed in southern Arizona, USA. Aeolian Research. 2011, 3:197-204.
4. Zhang Y. , M. A. Nearing, X. Zhang, Y. Xie, H. Wei. Projected rainfall erosivity changes under climate change from multimodel and multiscenario projections in Northeast China. Journal of Hydrology. 2010, 384:97-106.
3. Wu Y., Q. Zheng, Y. Zhang* , B. Liu, H. Cheng, Y. Wang. Development and sediment production of gullies in black soil region of Northeast China. Geomorphology. 2008, 101:683- 691.
2. Zhang Y. , Wu Y., Liu B., Zheng Q., Yin J. Characteristics and factors controlling the development of ephemeral gullies in cultivated catchments of black soil region, Northeast China. 2007. Soil and Tillage Research 2007, 96:28-41. (IF: 2.575, Citations: 54)
1. Hu G., Wu Y., Liu B., Yu Z., You Z., Y. Zhang . Short-term gully retreat rates over rolling hill areas in black soil of Northeast China. 2007. Catena 2007, 71: 321-329.
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