Impact of aerosols on terrestrial gross primary productivity in North China using an improved boreal ecosystem productivity simulator with satellite-based aerosol optical depth

References

• Angström, A. 1924. “Solar and Terrestrial Radiation.” Quarterly Journal of the Royal Meteorological Society 59 (210): 121–126. doi:10.1016/S0074-6142(08)60506-9.
   Google Scholar
• Boers, R., T. Brandsma, and A. Pier Siebesma. 2017. “Impact of Aerosols and Clouds on Decadal Trends in All-Sky Solar Radiation over the Netherlands (1966-2015).” Atmospheric Chemistry and Physics 17 (13): 8081–8100. doi:10.5194/acp-17-8081-2017.
   Web of Science ®Google Scholar
• Chen, J. M., G. Mo, J. Pisek, J. Liu, F. Deng, M. Ishizawa, and D. Chan. 2012. “Effects of Foliage Clumping on the Estimation of Global Terrestrial Gross Primary Productivity.” Global Biogeochemical Cycles 26 (1): 1–18. doi:10.1029/2010GB003996.
   Google Scholar
• Chen, J. M., J. Liu, J. Cihlar, and M. L. Goulden. 1999. “Daily Canopy Photosynthesis Model through Temporal and Spatial Scaling for Remote Sensing Applications.” Ecological Modelling 124 (2–3): 99–119. doi:10.1016/S0304-3800(99)00156-8.
   Web of Science ®Google Scholar
• Cheng, S. J., G. Bohrer, A. L. Steiner, D. Y. Hollinger, A. Suyker, R. P. Phillips, and K. J. Nadelhoffer. 2015. “Variations in the Influence of Diffuse Light on Gross Primary Productivity in Temperate Ecosystems.” Agricultural and Forest Meteorology 201: 98–110. Elsevier B.V. doi:10.1016/j.agrformet.2014.11.002.
   Web of Science ®Google Scholar
• Collares-Pereira, M., and A. Rabl. 1979. “The Average Distribution of Solar Radiation-Correlations between Diffuse and Hemispherical and between Daily and Hourly Insolation Values.” Solar Energy 22 (2): 155–164. doi:10.1016/0038-092X(79)90100-2.
   Web of Science ®Google Scholar
• Dai, Y. J., R. E. Dickinson, and Y. P. Wang. 2004. “A Two-Big-Leaf Model for Canopy Temperature, Photosynthesis, and Stomatal Conductance.” Journal of Climate 17 (12): 2281–2299. doi:10.1175/1520-0442(2004)017<2281:ATMFCT>2.0.CO;2.
   Web of Science ®Google Scholar
• De Pury, D. G. G., and G. D. Farquhar. 1997. “Simple Scaling of Photosynthesis from Leaves to Canopies without the Errors of Big-Leaf Models.” Plant, Cell and Environment 20 (5): 537–557. doi:10.1111/j.1365-3040.1997.00094.x.
   Web of Science ®Google Scholar
• Erbs, D. G., S. A. Klein. 1982. “Of the Diffuse Radiation Fraction for Hourly, Daily and Monthly-average Global Radiation.” Solar Energy 28 (4): 293–302. doi:10.1016/0038-092X(82)90302-4.
   Web of Science ®Google Scholar
• Fan, X. W., and Y. B. Liu. 2016. “Exploiting TERRA-AQUA MODIS Relationship in the Reflective Solar Bands for Aerosol Retrieval.” 1–20. doi:10.3390/rs8120996.
   Google Scholar
• Feng, X., G. Liu, J. M. Chen, M. Chen, J. Liu, W. M. Ju, R. Sun, and W. Zhou. 2007. “Net Primary Productivity of China’s Terrestrial Ecosystems from a Process Model Driven by Remote Sensing.” Journal of Environmental Management 85 (3): 563–573. doi:10.1016/j.jenvman.2006.09.021.
   PubMed Web of Science ®Google Scholar
• Feng, Y., D. M. Chen, and X. H. Zhang. 2018. “Atmospheric Aerosol Pollution across China: A Spatiotemporal Analysis of Satellite-Based Aerosol Optical Depth during 2000–2016.” International Journal of Digital Earth: 1–15. Taylor & Francis. doi:10.1080/17538947.2018.1486892.
   Web of Science ®Google Scholar
• Feng, Y., D. M. Chen, X. Y. Ouyang, and X. H. Zhang. 2018a. “Variability of Satellite-Based Total Aerosols and the Relationship with Emission, Meteorology and Landscape in North China during 2000–2016.” Environmental Earth Sciences 77 (499): 1–11. Springer Berlin Heidelberg. doi:10.1007/s12665-018-7685-y.
   Google Scholar
• Feng, Y., D. M. Chen, and X. Y. Zhao. 2018. “Improved Empirical Models for Estimating Surface Direct and Diffuse Solar Radiation at Monthly and Daily Level: A Case Study in North China.” Progress in Physical Geography.
   Web of Science ®Google Scholar
• Feng, Y., and Y. T. Li. 2018. “Estimated Spatiotemporal Variability of Total, Direct and Diffuse Solar Radiation across China during 1958 – 2016.” International Journal of Climatology, no. April: 1–10. doi:10.1002/joc.5676.
   Google Scholar
• Feng, Y., D. Chen, and X. Zhao. 2019. “Improved Empirical Models for Estimating Surface Direct and Diffuse Solarradiation at Monthly and Daily Level: A Case Study in North China.” Progress in Physical Geography 43 (1): 80–94. doi:10.1177/0309133318823459.
   Google Scholar
• Gu, L., J. D. Fuentes, H. H. Shugart, R. M. Staebler, and T. A. Black. 1999. “Responses of Net Ecosystem Exchanges of Carbon Dioxide to Changes in Cloudiness: Results from Two North American Deciduous Forests.” Journal of Geophysical Research Atmospheres 104 (D24): 31421–31434. doi:10.1029/1999JD901068.
   Web of Science ®Google Scholar
• Gu, L. H., D. Baldocchi, S. B. Verma, T. A. Black, T. Vesala, E. M. Falge, and P. R. Dowty. 2002. “Advantages of Diffuse Radiation for Terrestrial Ecosystem Productivity.” Journal of Geophysical Research: Atmospheres 107 (D6): ACL 2-1-ACL 2–23. doi:10.1029/2001JD001242.
   Google Scholar
• He, L. M., J. M. Chen, J. Pisek, C. B. Schaaf, and A. H. Strahler. 2012. “Global Clumping Index Map Derived from the MODIS BRDF Product.” Remote Sensing of Environment 119 (January): 118–130. Elsevier Inc. doi:10.1016/j.rse.2011.12.008.
   Google Scholar
• He, M. Z., W. M. Ju, Y. L. Zhou, J. M. Chen, H. L. He, S. Q. Wang, H. M. Wang. et al. 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. Elsevier B.V. doi:10.1016/j.agrformet.2013.01.003.
   Web of Science ®Google Scholar
• Ju, W. M., J. M. Chen, T. Andrew Black, A. G. Barr, J. Liu, and B. Z. Chen. 2006. “Modelling Multi-Year Coupled Carbon and Water Fluxes in a Boreal Aspen Forest.” Agricultural and Forest Meteorology 140 (1–4): 136–151. doi:10.1016/j.agrformet.2006.08.008.
   Web of Science ®Google Scholar
• Kaiser, D. P. 2002. “Decreasing Trends in Sunshine Duration over China for 1954–1998: Indication of Increased Haze Pollution?” Geophysical Research Letters 29 (21): 1–4. doi:10.1029/2002GL016057.
   Web of Science ®Google Scholar
• Kanniah, K. D., J. Beringer, P. North, and L. Hutley. 2012. “Control of Atmospheric Particles on Diffuse Radiation and Terrestrial Plant Productivity: A Review.” Progress in Physical Geography 36 (2): 209–237. doi:10.1177/0309133311434244.
   Web of Science ®Google Scholar
• Khatib, T., and W. Elmenreich. 2015. “A Model for Hourly Solar Radiation Data Generation from Daily Solar Radiation Data Using A Generalized Regression Artificial Neural Network.” International Journal of Photoenergy 10: 1–13. doi:10.1155/2015/968024.
   Google Scholar
• Li, H. S., W. B. Ma, Y. W. Lian, X. L. Wang, and L. Zhao. 2011. “Global Solar Radiation Estimation with Sunshine Duration in Tibet, China.” Renewable Energy 36 (11): 3141–3145. Elsevier Ltd. doi:10.1016/j.renene.2011.03.019.
   Web of Science ®Google Scholar
• Liu, B. Y. H., and R. C. Jordan. 1960. “The Interrelationship and Characteristic Distribution of Direct, Diffuse and Total Solar Radiation.” Solar Energy 4 (3): 1–19. doi:10.1016/0038-092X(60)90062-1.
   Web of Science ®Google Scholar
• Liu, J., J. M. Chen, J. Cihlar, and W. M. Park. 1997. “A Process-Based Boreal Ecosystem Productivity Simulator Using Remote Sensing Inputs.” Remote Sensing of Environment 62: 158–175. doi:10.1016/S0034-4257(97)00089-8.
   Web of Science ®Google Scholar
• Luo, Y. X., J. Chen, X. B. Zheng, and T. L. Zhao. 2012. “Climatology of Aerosol Optical Depth over China from Recent 10 Years of MODIS Remote Sensing Data.” Ecology and Environmental Sciences 21 (5): 876–883.
   Google Scholar
• Matsushita, B., and M. Tamura. 2002. “Integrating Remotely Sensed Data with an Ecosystem Model to Estimate Net Primary Productivity in East Asia.” Remote Sensing of Environment 81 (1): 58–66. doi:10.1016/S0034-4257(01)00331-5.
   Web of Science ®Google Scholar
• Mercado, L. M., N. Bellouin, S. Sitch, O. Boucher, C. Huntingford, M. Wild, and P. M. Cox. 2009. “Impact of Changes in Diffuse Radiation on the Global Land Carbon Sink.” Nature 458: 1014–1017. doi:10.1038/nature07949.
   PubMed Web of Science ®Google Scholar
• Peng, S. S., S. L. Piao, P. CIAIS, J. Y. Fang, and X. H. Wang. 2010. “Change in Winter Snow Depth and Its Impacts on Vegetation in China.” Global Change Biology 16 (11): 3004–3013. doi:10.1111/j.1365-2486.2010.02210.x.
   Web of Science ®Google Scholar
• Qian, Y., W. G. Wang, L. R. Leung, and D. P. Kaiser. 2007. “Variability of Solar Radiation under Cloud-Free Skies in China: The Role of Aerosols.” Geophysical Research Letters 34 (12): 1–5. doi:10.1029/2006GL028800.
   Web of Science ®Google Scholar
• Ramanathan, V., P. J. Crutzen, J. T. Kiehl, and D. Rosenfeld. 2001. “Aerosols, Climate, and the Hydrological Cycle.” Science 294 (December): 2119–2125. doi:10.1126/science.1064034.
   PubMedGoogle Scholar
• Roderick, M. L., G. D. Farquhar, S. L. Berry, and I. R. Noble. 2001. “On the Direct Effect of Clouds and Atmospheric Particles on the Productivity and Structure of Vegetation.” Oecologia 129 (1): 21–30. doi:10.1007/s004420100760.
   PubMed Web of Science ®Google Scholar
• Shi, C. X., Z. H. Xie, H. Qian, M. L. Liang, and X. C. Yang. 2011. “China Land Soil Moisture EnKF Data Assimilation Based on Satellite Remote Sensing Data.” Science China Earth Sciences 54 (9): 1430–1440. doi:10.1007/s11430-010-4160-3.
   Web of Science ®Google Scholar
• Sjöström, M., M. Zhao, S. Archibald, A. Arneth, B. Cappelaere, U. Falk, A. de Grandcourt. et al. 2013. “Evaluation of MODIS Gross Primary Productivity for Africa Using Eddy Covariance Data.” Remote Sensing of Environment 131: 275–286. Elsevier Inc. doi:10.1016/j.rse.2012.12.023.
   Web of Science ®Google Scholar
• Spitters, C. J. T., H. A. J. M. Toussaint, and J. Goudriaan. 1986. “Separating the Diffuse and Direct Component of Global Radiation and Its Implications for Modeling Canopy Photosynthesis Part I. Components of Incoming Radiation.” Agricultural and Forest Meteorology 38 (1–3): 217–229. doi:10.1016/0168-1923(86)90060-2.
   Web of Science ®Google Scholar
• Sprintsin, M., J. M. Chen, A. Desai, and C. M. Gough. 2012. “Evaluation of Leaf-to-Canopy Upscaling Methodologies against Carbon Flux Data in North America.” Journal of Geophysical Research: Biogeosciences 117 (1): 1–17. doi:10.1029/2010JG001407.
   Google Scholar
• Sun, R., J. M. Chen, Q. Zhu, Y. Zhou, J. Liu, J. Li, S. Liu, G. Yan, and S. Tang. 2004. “Spatial Distribution of Net Primary Productivity and Evapotranspiration in Changbaishan Natural Reserve, China, Using Landsat ETM+ Data.” Canadian Journal of Remote Sensing 30 (5): 731–742. doi:10.5589/m04-040.
   Web of Science ®Google Scholar
• Tang, J. K., Y. Xue, T. Yu, and Y. N. Guan. 2005. “Aerosol Optical Thickness Determination by Exploiting the Synergy of TERRA and AQUA MODIS.” 94: 327–334. doi:10.1016/j.rse.2004.09.013.
   Google Scholar
• Tian, J., and D. M. Chen. 2010. “A Semi-Empirical Model for Predicting Hourly Ground-Level Fine Particulate Matter (PM2.5) Concentration in Southern Ontario from Satellite Remote Sensing and Ground-Based Meteorological Measurements.” Remote Sensing of Environment 114 (2): 221–229. Elsevier Inc. doi:10.1016/j.rse.2009.09.011.
   Web of Science ®Google Scholar
• Wang, Q., J. Tenhunen, E. Falge, C. H. Bernhofer, A. Granier, and T. Vesala. 2003. “Simulation and Acaling of Temporal Variation in Gross Primary Production for Coniferous and Deciduous Temperate Forests.” Global Change Biology 10: 37–51. doi:10.1046/j.1529-8817.2003.00716.x.
   Web of Science ®Google Scholar
• Wang, X. F., M. G. Ma, X. Li, Y. Song, J. L. Tan, G. H. Huang, Z. H. Zhang, et al. 2013. “Validation of MODIS-GPP Product at 10 Flux Sites in Northern China.” International Journal of Remote Sensing 34 (2): 587–599. doi:10.1080/01431161.2012.715774.
   Web of Science ®Google Scholar
• Webb, R. S., C. E. Rosenzmig, E. R. Levine, and R. S. Webb. 1991. “A Global Data Set of Soil Particle Size Properties.” NASA Techinical Memorandum (TM4280): 1–43.
   Google Scholar
• Williams, I. N., W. J. Riley, L. M. Kueppers, S. C. Biraud, and M. S. Torn. 2016. “Separating the Effects of Phenology and Diffuse Radiation on Gross Primary Productivity in Winter Wheat.” Journal of Geophysical Research: Biogeosciences 121 (7): 1903–1915. doi:10.1002/2015JG003317.
   Web of Science ®Google Scholar
• Xu, W., X. S. Luo, Y. P. Pan, L. Zhang, A. H. Tang, J. L. Shen, Y. Zhang, et al. 2015. “Quantifying Atmospheric Nitrogen Deposition through a Nationwide Monitoring Network across China. .” Atmospheric Chemistry and Physics 15 (21): 12345–12360. doi:10.5194/acp-15-12345-2015.
   Web of Science ®Google Scholar
• Yang, X., C. F. Zhao, L. J. Zhou, Y. Wang, and X. H. Liu. 2015. “Distinct Impact of Different Types of Aerosols on Surface Solar Radiation in China.” Journal of Geophysical Research: Atmospheres 121: 6459–6471. doi:10.1002/2014JD022599.
   Web of Science ®Google Scholar
• Yuan, W., W. Cai, J. Xia, J. Chen, S. Liu, W. Dong, and G. Wohlfahrt. 2014. “Global Comparison of Light Use Efficiency Models for Simulating Terrestrial Vegetation Gross Primary Production Based on the LaThuile Database.” Agricultural and Forest Meteorology 192–193: 108–120. doi:10.1016/j.agrformet.2014.03.007.
   Web of Science ®Google Scholar
• Zeng, X. F., N. Zhao, and Y. Ma. 2018. “Distributed Modeling of Surface Solar Radiation Based on Aerosol Optical Depth and Sunshine Duration in China.” Earth and Environmental Science 121: 1–9.
   Google Scholar
• Zhang, F. M., J. M. Chen, J. Q. Chen, C. M. Gough, T. A. Martin, and D. Dragoni. 2012. “Evaluating Spatial and Temporal Patterns of MODIS GPP over the Conterminous U.S. Against Flux Measurements and a Process Model.” Remote Sensing of Environment 124 :717–29. doi:10.1016/j.rse.2012.06.023.
   Web of Science ®Google Scholar
• Zhou, M., H. Yu, R. E. Dickinson, O. Dubovik, and B. N. Holben. 2005. “A Normalized Description of the Direct Effect of Key Aerosol Types on Solar Radiation as Estimated from Aerosol Robotic Network Aerosols and Moderate Resolution Imaging Spectroradiometer Albedos.” Journal of Geophysical Research D: Atmospheres 110 (19): 1–10. doi:10.1029/2005JD005909.
   Google Scholar