Wiesner S, Staudhammer CL, Loescher HW, et al. Interactions among abiotic drivers, disturbance and gross ecosystem carbon exchange on soil respiration from subtropical pine savannas. Ecosystems 2018; 21: 1639–1658.
Starr G, Staudhammer CL, Wiesner S, et al. Carbon dynamics of Pinus palustris ecosystems following drought. Forests 2016; 7(5). doi: 10.3390/f7050098.
Starr G, Staudhammer CL, Loescher HW, et al. Time series analysis of forest carbon dynamics: recovery of Pinus palustris physiology following a prescribed fire. New Forests 2015; 46: 63–90.
Gong Y, Guo Z, Zhang K, et al. Impact of vegetation on CO2 flux of a subtropical urban ecosystem. Acta Ecologica Sinica 2019; 39(2): 530–541.
Wright JK, Williams M, Starr G, et al. Measured and modelled leaf and stand-scale productivity across a soil moisture gradient and a severe drought. Plant, Cell & Environment 2013; 36(2): 467–483.
Pan Y, Blrdsey RA, Fang J, et al. A large and persistent carbon sink in the world’s forests. Science 2011; 333: 988–993.
Ji X, Lu J, Yang J, et al. Variation characteristics and influencing factors of carbon flux in coniferous and broad-leaved mixed forest in Fengyang Mountain. Journal of Northeast Forestry University 2019; 47(3): 49–55.
Niu X, Jiang H, Zhang J, et al. Characteristics of CO2 flux in an old growth mixed forest in Tianmu Mountain, Zhejiang, China. Chinese Journal of Applied Ecology 2016; 27(1): l–8.
Wang C, Yu G, Zhou G, et al. Dinghuashan changlv zhenkuoye hunjiaolin CO2 tongliang gusuan (Chinese) [Estimation of CO2 flux in Dinghushan evergreen coniferous and broad-leaved mixed forest]. Science in China (Series D: Earth Sciences) 2006; 36(S1): 119–129.
Xu L, Zhang X, Shi P, et al. Net ecosystem carbon dioxide exchange of alpine meadow in the Tibetan Plateau from August to October. Acta Ecologica Sinica 2005; 25(8): 1948–1952.
Barford CC, Wofsy SC, Goulden ML, et al. Factors controlling long- and short-term sequestration of atmospheric CO2 in a mid-latitude forest. Science 2001; 294: 1688–1691.
Bassow SL, Bazzaz FA. How environmental conditions affect canopy leaf-level photosynthesis in four deciduous tree species. Ecology 1998; 79(8): 2660–2675.
Richardson AD, Andy Black T, Ciais P, et al. Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philosophical Transactions of the Royal Society B: Biological Sciences 2010; 365: 3227–3246.
Curtis PS, Hanson PJ, Bolstad P, et al. Biometric and eddy-covariance based estimates of annual carbon storage in five eastern North American deciduous forests. Agricultural and Forest Meteorology 2002; 113(1/2/3/4): 3–19.
Niu S, Fu Y, Gu L, et al. Temperature sensitivity of canopy photosynthesis phenology in northern ecosystems. In: Schwartz M. Phenology: An integrative environmental science. Dordrecht: Springer; 2013; 503–519.
Yi C, Rustic G, Xu X, et al. Climate extremes and grassland potential productivity. Environmental Research Letters 2012; 7(3): 035703. doi: 10.1088/1748-9326/7/3/035703.
Gu L, Post WM, Baldocchi DD, et al. Characterizing the seasonal dynamics of plant community photosynthesis across a range of vegetation types. In: Asko N (editor). Phenology of ecosystem processes: Applications in global change research. New York: Springer; 2009. p. 35–58.
Massman WJ, Lee X. Eddy covariance flux corrections and uncertainties in long-term studies of carbon and energy exchanges. Agricultural and Forest Meteorology 2002; 113(1/2/3/4): 121–144.
Hollinger DY, Richardson AD. Uncertainty in eddy covariance measurements and its application to physiological models. Tree Physiology 2005; 25(7): 873–885.
Baldocchi DD, Meyers TP, Wilson KB. Correction of eddy-covariance measurements incorporating both advective effects and density fluxes. Boundary-Layer Meteorology 2000; 97(3): 487–511.
Kim JH, Hwang T, Schaaf CL, et al. Seasonal variation of source contributions to eddy-covariance CO2 measurements in a mixed hardwood-conifer forest. Agricultural and Forest Meteorology 2018; 253/254: 71–83.
Barraza V, Restrepo-Coupe N, Huete A, et al. Passive microwave and optical index approaches for estimating surface conductance and evapotranspiration in forest ecosystems. Agricultural and Forest Meteorology 2015; 213: 126–137.
Wilson KB, Hanson PJ, Mulholland PJ, et al. A comparison of methods for determining forest evapotranspiration and its components: Sap-flow, soil water budget, eddy covariance and catchment water balance. Agricultural and Forest Meteorology 2001; 106(2): 153–168.
Baldocchi D, Falge E, Gu L, et al. FLUXNET: A new tool to study the temporal and spatial variability of ecosystemscale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society 2001; 82(11): 2415–2434.
Falge E, Baldocchi D, Tenhunen J, et al. Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agricultural and Forest Meteorology 2002; 113(1/2/3/4): 53–74.
Williams M, Richardson AD, Reichstein M, et al. Improving land surface models with FLUXNET data. Biogeosciences 2009; 6(7): 1341–1359.
Fisher JB, Tu KP, Baldocchi DD. Global estimates of the land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment 2008; 112(3): 901–919.
Lipovetsky S. Double logistic curve in regression modeling. Journal of Applied Statistics 2010; 37(11): 1785–1793.
Liu L, Liang L, Schwartz MD, et al. Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest. Remote Sensing of Environment 2015; 160: 156–165.
Acharya D, Rani A, Agarwal S, et al. Application of adaptive Savitzky-Golay filter for EEG signal processing. Perspectives in Science 2016; 8: 677–679.
Shao Y, Lunetta RS, Wheeler B, et al. An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data. Remote Sensing of Environment 2016; 174: 258–265.
Fontana F, Rixen C, Jonas T, et al. Alpine grassland phenology as seen in AVHRR, VEGETATION, and MODIS NDVI time series—A comparison with in situ measurements. Sensors (Basel) 2008; 8(4): 2833–2853.
Bracho R, Starr G, Gholz HL, et al. Controls on carbon dynamics by ecosystem structure and climate for southeastern US slash pine plantations. Ecological Monographs 2012; 82(1): 101–128.