Publications

Journal Publications (First Author)

1. Y.  Zhang, J. Mao, D.M. Ricciuto, M. Jin, Y. Yu, X. Shi, S. Wullschleger, R. Tang, J. Liu, 2023. Global fire modelling and control attributions based on the ensemble machine learning and satellite observations. Science of Remote Sensing. https://doi.org/10.1016/j.srs.2023.100088 

2. Y. Zhang, Song C, Hwang T, Novick K, Coulston JW, Vose J, Dannenberg MP, Hakkenberg CR, Mao J, Woodcock CE, 2021. Land cover change-induced decline in terrestrial gross primary production over the conterminous United States from 2001 to 2016. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2021.108609

3. Y. Zhang, C. Song, L. E. Band, G. Sun, J. Li, 2019. No proportional increase of terrestrial gross carbon sequestration from the greening Earth. Journal of Geophysical Research: Biogeosciences https://doi.org/10.1029/2018JG004917

4. Y. Zhang, M.P. Dannenberg, T. Hwang, C. Song, 2019. El Niño-Southern Oscillation-induced variability of terrestrial gross primary production during the satellite era. Journal of Geophysical Research: Biogeosciences https://doi.org/10.1029/2019JG005117

5. Y. Zhang, C. Song, L. E. Band, G. Sun, J. Li, 2017. Reanalysis of global terrestrial vegetation trends from MODIS products: browning or greening? Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2016.12.018

6. Y. Zhang, C. Song, G. Sun, L. E. Band, S. McNulty, A. Noormets, Q. Zhang, Z. Zhang, 2016. Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2016.04.003

7. Y. Zhang, C. Song, G. Sun, L. E. Band, A. Noormets, Q. Zhang, 2015. Understanding moisture stress on light-use efficiency across terrestrial ecosystems based on global flux and remote sensing data. Journal of Geophysical Research: Biogeosciences. https://doi.org/10.1002/2015JG003023

8. Y. Zhang, C. Song, K. Zhang, X. Cheng, L. E. Band, Q. Zhang, 2014. Effects of land-use/land-cover and climate changes on terrestrial net primary productivity in the Yangtze River Basin, China, from 2001-2010. Journal of Geophysical Research: Biogeosciences. https://doi.org/10.1002/2014JG002616

9. Y. Zhang, C. Song, K. Zhang, X. Cheng, Q. Zhang, 2014. Spatial-temporal variability of terrestrial net primary productivity in the Yangtze River Basin from 2000-2009. Journal of Plant Ecology. https://doi.org/10.1093/jpe/rtt025

10. Y. Zhang, X. Xia, Z. Chen, Q. Zhang, 2011. Estimation of clear-sky radiation in Yangtze River Basin based on the open-source GIS. Resources & Environment in Yangtze Basin, 20(9): 1073-1079 (In Chinese with English Abstract)

11. Y. Zhang, H. Dang, X. Xia, X. He, Q. Zhang, 2010. Retrieval of surface albedo dynamics on Taibai Mountain, Qinling, China. Resources & Environment in Yangtze Basin, 19(Z2): 135-140 (In Chinese with English Abstract)

12. Y. Zhang, J. Ge, Z. Zhang, 2009. Application of modified Eco-footprint Model in the sustainable development of Hubei Province, China. Journal of China University of Geosciences (Social Sciences Edition), 9(3):44-49. (In Chinese with English Abstract)

Journal Publications (Co-author)

1. Tang, R., Jin, M., Mao, J., Ricciuto, D. M., Chen, A., and Zhang, Y. 2023: TSECfire v1.0: Quantifying Wildfire Drivers and Predictability in Boreal Peatlands Using a Two-Step Error-Correcting Machine Learning Framework, Geosci. Model Dev. Discuss. 

2. Wu, Q.; Chen, S.; Zhang, Y.; Song, C.; Ju, W.; Wang, L.; Jiang, J., 2023; Improved Estimation of the Gross Primary Production of Europe by Considering the Spatial and Temporal Changes in Photosynthetic Capacity from 2001 to 2016. Remote Sensing. 2023, 15, 1172. https://doi.org/10.3390/rs15051172

3. Yu, Y., Mao, J., Wullschleger, S.D., Chen, A., Shi, X., Wang, Y., Hoffman, F.M., Zhang, Y. and Pierce, E., 2022. Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire. Nature Communications, 13(1), p.1250. https://doi.org/10.1038/s41467-022-28853-0 

4. Ehlers, D., Wang, C., Coulston, J., Zhang, Y., Pavelsky, T., Frankenberg, F., Woodccok, C. and Song, C. 2022. Mapping forest aboveground biomass using multisource remotely sensed data. Remote Sensing, 14(5), 1115, doi: 10.3390/rs14051115.

5. Zhang, J., Zhang, Y., Sun, G., Song, C., Dannenberg, M. P., Li, J., Liu, N., Zhang, K., Zhang, Q. and Hao, Lu. 2021. Vegetation greening weakened the capacity of water supply to China’s South-North Water Diversion Project. Hydrology and Earth Science Sciences, 25, 5623–5640, doi: 10.5194/hess-25-5623-2021.

6. Rongyun Tang, Jiafu Mao, Mingzhou Jin, Anping Chen, Yan Yu, Xiaoying Shi, Yulong Zhang, Hoffman F.M., Min Xu, Yaoping Wang. Interannual variability and climatic sensitivity of global wildfire activity, 2021. Advances in Climate Change Research. https://doi.org/10.1016/j.accre.2021.07.001 

7. M.P. Dannenberg, W.K. Smith, Y. Zhang, C. Song, D.N. Huntzinger, D.J.P Moore, 2021. Central Pacific El Niño events drive large-scale regional shifts in terrestrial carbon cycling. Geophysical Research Letters. https://doi.org/10.1029/2020GL092367

8. S. Chen, Y. Zhang, Q. Wu; S. Liu, C. Song, J. Xiao, L. Band, J. Vose, 2021. Vegetation cover change and CO2 fertilization more than offset gross primary productivity decline caused by reduced solar radiation in China from 2001 to 2016. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2020.108207

9. T. Qiu, C. Song, Y. Zhang, H. Liu, J.M. Vose, 2019. Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.111477

10. K. Zhang, C. Song, Y. Zhang, H. Dang, X. Cheng. Q. Zhang, 2018. Global-scale patterns of nutrient density and partitioning in forests in relation to climate. Global Change Biology. https://doi.org/10.1111/gcb.13860

11. K. Zhang, C. Song, Y. Zhang, Q. Zhang, 2017. Natural disasters and economic development drive forest dynamics and transition in China. Forest Policy and Economic. https://doi.org/10.1016/j.forpol.2015.08.010

12. C. Song, J. Chen, T. Hwang, A. Gonsamo, H. Croft, Q. Zhang, M. Dannenberg, Y. Zhang, C. Hakkenberg, J. Li, 2016. Ecological Characterization of Vegetation Using Multi-Sensor Remote Sensing in the Solar Reflective Spectrum. In: Remote Sensing Hand book Thenkabail, P. S. (ed). Taylor and Francis, CRC Press. ISBN: 9781482218015

13. H. Dang, Y. Zhang, Y. Zhang, K. Zhang, Q. Zhang, 2015. Variability and rapid response of subalpine fir (Abies fargesii) to climate warming at upper altitudinal limits in north-central China. Trees, 29(3). https://doi.org/10.1007/s00468-015-1156-9

14.  C. Song, Y. Zhang, Y. Mei, H. Liu, Z. Zhang, Q. Zhang, T. Zha, K. Zhang, C. Huang, X. Xu, P. Jagger, X. Chen, R. Bilsborrow, 2014. Forest Sustainability and China’s Sloping Land Conversion Program (SLCP): A Comparison among Three Sites in Anhui, Hubei and Shanxi. Forest Policy and Economics, 38: 161-167. https://doi.org/10.1016/j.forpol.2013.08.012

15. K. Zhang, Y. Zhang, H. Tian, X. Cheng, H. Dang, Q. Zhang, 2013. Sustainability of social-ecological systems under conservation projects: Lessons from a biodiversity hotspot in western China. Biological Conservation, 158: 205-213. https://doi.org/10.1016/j.biocon.2012.08.021

16. C. Ye, S. Li, Y. Zhang, X. Tong, Q. Zhang, 2013. Assessing heavy metal pollution in the water level fluctuation zone of China’s Three Gorges Reservoir using geochemical and soil microbial approaches. Environmental Monitoring and Assessment, 185: 231-240. https://doi.org/10.1007/s10661-012-2547-7

17. K. Zhang, X. Cheng, H. Dang, C. Ye, Y. Zhang, Quanfa Zhang, 2013. Linking litter production, quality and decomposition to vegetation succession following agricultural abandonment. Soil Biology & Biochemistry, 57: 803-813. https://doi.org/10.1016/j.soilbio.2012.08.005

18. C. Ye, X. Cheng, Y. Zhang, Z. Wang, Q. Zhang, 2012. Soil nitrogen dynamics following short-term revegetation in the water level fluctuation zone of the Three Gorges Reservoir, China. Ecological Engineering, 38: 37-44. https://doi.org/10.1016/j.ecoleng.2011.10.005

19. S. Li, Y. Zhang, Q. Zhang, 2011. Interaction of landscape setting and stream flow seasonality on nitrogen concentrations in a subtropical river, China. Acta Oecologica, 44: 38-45. https://doi.org/10.1016/j.actao.2011.08.005

20. C. Ye, S. Li, Y. Zhang, Q. Zhang, 2011. Assessing soil heavy metal pollution in the water leve fluctuation zone of the Three Gorges Reservoir, China. Journal of Hazardous Materials, 191: 366-372. https://doi.org/10.1016/j.jhazmat.2011.04.090

21. C. Wu, Y. Zhang, X. Xu, Q. Zhang, 2013. Monitoring water surface changes in Danjiangkou Reservoir based on Landsat TM/ETM and HJ-1 A/B. Resources & Environment in Yangtze Basin, 22(9): 1207-1213 (In Chinese with English Abstract)