The following 14 publications cited the product ISLSCP II C4 Vegetation Percentage.
Year | Citation |
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2024 | Peng, J., Y. Xue, N. Pan, Y. Zhang, H. Liang, and F. Zhang. 2024. Exploring the Spatiotemporal Alterations in China’s GPP Based on the DTEC Model. Remote Sensing. 16(8):1361. https://doi.org/10.3390/rs16081361 |
2023 | Dong, G., S. Chen, K. Liu, W. Wang, H. Hou, L. Gao, F. Zhang, and H. Su. 2023. Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities. Science of The Total Environment. 905:167090. https://doi.org/10.1016/j.scitotenv.2023.167090 |
2023 | Li, S., G. Wang, C. Zhu, M. Hannemann, R. Poyatos, J. Lu, J. Li, W. Ullah, D.F.T. Hagan, A. García-García, Y. Liu, Q. Liu, S. Ma, Q. Liu, S. Sun, F. Zhao, and J. Peng. 2023. Spatial patterns and recent temporal trends in global transpiration modelled using eco-evolutionary optimality. Agricultural and Forest Meteorology. 342:109702. https://doi.org/10.1016/j.agrformet.2023.109702 |
2022 | Bastos, A., P. Ciais, S. Sitch, L.E.O.C. Aragão, F. Chevallier, D. Fawcett, T.M. Rosan, M. Saunois, D. Günther, L. Perugini, C. Robert, Z. Deng, J. Pongratz, R. Ganzenmüller, R. Fuchs, K. Winkler, S. Zaehle, and C. Albergel. 2022. On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2. Carbon Balance and Management. 17(1). https://doi.org/10.1186/s13021-022-00214-w |
2022 | Chen, X., Y. Huang, C. Nie, S. Zhang, G. Wang, S. Chen, and Z. Chen. 2022. A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms. Scientific Data. 9(1). https://doi.org/10.1038/s41597-022-01520-1 |
2022 | Ren, S., X. Chen, and C. Pan. 2022. Temperature-precipitation background affects spatial heterogeneity of spring phenology responses to climate change in northern grasslands (30°N-55°N). Agricultural and Forest Meteorology. 315:108816. https://doi.org/10.1016/j.agrformet.2022.108816 |
2022 | Scott, H.G., and N.G. Smith. 2022. A Model of C 4 Photosynthetic Acclimation Based on Leastâ€Cost Optimality Theory Suitable for Earth System Model Incorporation. Journal of Advances in Modeling Earth Systems. 14(3). https://doi.org/10.1029/2021MS002470 |
2022 | Stephens, R.B., A.P. Ouimette, E.A. Hobbie, and R.J. Rowe. 2022. Reevaluating trophic discrimination factors ( |
2021 | Yang, Y., T.R. McVicar, D. Yang, Y. Zhang, S. Piao, S. Peng, and H.E. Beck. 2021. Low and contrasting impacts of vegetation CO<sub>2</sub> fertilization on global terrestrial runoff over 1982-2010: accounting for aboveground and belowground vegetation-CO<sub>2</sub> effects. Hydrology and Earth System Sciences. 25(6):3411-3427. https://doi.org/10.5194/hess-25-3411-2021 |
2018 | Georgievski, G. and S. Hagemann. 2018. Characterizing uncertainties in the ESA-CCI land cover map of the epoch 2010 and their impacts on MPI-ESM climate simulations. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-018-2675-2 |
2018 | Sankelo, P., K. Kawamura, O. Seki, H. Shibata, and J. Bendle. 2018. n-Alkanes in Fresh Snow in Hokkaido, Japan: Implications for Ice Core Studies. Arctic, Antarctic, and Alpine Research. 45(1):119-131. https://doi.org/10.1657/1938-4246-45.1.119 |
2017 | Hilton, T.W., M.E. Whelan, A. Zumkehr, S. Kulkarni, J.A. Berry, I.T. Baker, S.A. Montzka, C. Sweeney, B.R. Miller, and J. Elliott Campbell. 2017. Peak growing season gross uptake of carbon in North America is largest in the Midwest USA. Nature Climate Change. 7(6):450-454. https://doi.org/10.1038/nclimate3272 |
2017 | Hobbie, E.A., B.A. Schubert, J.M. Craine, E. Linder, and A. Pringle. 2017. Increased C3productivity in Midwestern lawns since 1982 revealed by carbon isotopes inAmanita thiersii. Journal of Geophysical Research: Biogeosciences. 122(2):280-288. https://doi.org/10.1002/2016JG003579 |
2016 | Chen, B., X. Cui, and Y. Wang. 2016. Regional prediction of carbon isotopes in soil carbonates for Asian dust source tracer. Atmospheric Environment. 142:1-8. https://doi.org/10.1016/j.atmosenv.2016.07.029 |