Utilization of ground-based digital photography for the evaluation of seasonal changes in the aboveground green biomass and foliage phenology in a grassland ecosystem

Ahrends, 2008, Quantitative phenological observations of a mixed beech forest in northern Switzerland with digital photography, J. Geophys. Res. Biogeosci., 113, G04004, 10.1029/2007JG000650 Ahrends, 2009, Tree phenology and carbon dioxide fluxes: use of digital photography for process-based interpretation at the ecosystem scale, Clim. Res., 39, 261, 10.3354/cr00811 Akiyama, 2007, Grassland degradation in China: methods of monitoring, management and restoration, Grassl. Sci., 53, 1, 10.1111/j.1744-697X.2007.00073.x Cao, 2004, Grazing intensity alters soil respiration in an alpine meadow on the Tibetan plateau, Soil Biol. Biochem., 36, 237, 10.1016/j.soilbio.2003.09.010 Chen, 2009, Estimating aboveground biomass of grassland having a high canopy cover: an exploratory analysis of in situ hyperspectral data, Int. J. Remote Sens., 30, 6497, 10.1080/01431160902882496 Crimmins, 2008, Monitoring plant phenology using digital repeat photography, Environ. Manage., 41, 949, 10.1007/s00267-008-9086-6 Dhital, 2010, Measurement of net ecosystem production and ecosystem respiration in a Zoysia japonica grassland, central Japan, by the chamber method, Ecol. Res., 25, 483, 10.1007/s11284-009-0678-2 Dhital, 2010, Carbon dynamics and budget in a Zoysia japonica grassland, central Japan, J. Plant Res., 123, 519, 10.1007/s10265-009-0289-6 Eisfelder, 2012, Derivation of biomass information for semi-arid areas using remote-sensing data, Int. J. Remote Sens., 33, 2937, 10.1080/01431161.2011.620034 Fang, 2007, Terrestrial vegetation carbon sinks in China, 1981–2000, Sci. China. Ser. D Earth Sci., 50, 1341, 10.1007/s11430-007-0049-1 Graham, 2010, Public internet-connected cameras used as a cross-continental ground-based plant phenology monitoring system, Glob. Chang. Biol., 16, 3014 Huete, 2002, Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 83, 195, 10.1016/S0034-4257(02)00096-2 Ide, 2010, Use of digital cameras for phenological observations, Ecol. Inform., 5, 339, 10.1016/j.ecoinf.2010.07.002 Inoue, 2012, Effects of environmental factors upon variation in soil respiration of a Zoysia japonica grassland, central Japan, Ecol. Res., 27, 445, 10.1007/s11284-011-0918-0 Inoue, 2014, Detection of the different characteristics of year-to-year variation in foliage phenology among deciduous broad-leaved tree species by using daily continuous canopy surface images, Ecol. Inform., 22, 58, 10.1016/j.ecoinf.2014.05.009 Itano, 2011, Reflectance spectra for monitoring green herbage mass in Zoysia-dominated pastures, Grassl. Sci., 57, 9, 10.1111/j.1744-697X.2010.00202.x Itano, 2000, Spectral characteristics of aboveground biomass, plant coverage, and plant height in Italian ryegrass (Lolium multiflorum L.) meadows, Grassl. Sci., 46, 1 Justice, 1985, Analysis of the phenology of global vegetation using meteorological satellite data, Int. J. Remote Sens., 6, 1271, 10.1080/01431168508948281 Kawamura, 2005, Monitoring of forage conditions with MODIS imagery in the Xilingol steppe, Inner Mongolia, Int. J. Remote Sens., 26, 1423, 10.1080/01431160512331326783 Lu, 2006, The potential and challenge of remote sensing-based biomass estimation, Int. J. Remote Sens., 27, 1297, 10.1080/01431160500486732 Ma, 2010, Climate change alters interannual variation of grassland aboveground productivity: evidence from a 22-year measurement series in the Inner Mongolian grassland, J. Plant Res., 124, 509, 10.1007/s10265-009-0302-0 Migliavacca, 2011, Using digital repeat photography and eddy covariance data to model grassland phenology and photosynthetic CO2 uptake, Agric. For. Meteorol., 151, 1325, 10.1016/j.agrformet.2011.05.012 Muraoka, 2012, Linking remote sensing and in situ ecosystem/biodiversity observations by “satellite ecology”, 277 Nagai, 2010, Field experiments to test the use of the normalized-difference vegetation index for phenology detection, Agric. For. Meteorol., 150, 152, 10.1016/j.agrformet.2009.09.010 Nagai, 2011, Using digital camera images to detect canopy condition of deciduous broad-leaved trees, Plant Ecolog. Divers., 4, 79, 10.1080/17550874.2011.579188 Nagai, 2013, Detection of bio-meteorological year-to-year variation by using digital canopy surface images of a deciduous broad-leaved forest, SOLA, 9, 106, 10.2151/sola.2013-024 Ni, 2002, Carbon storage in grasslands of China, J. Arid Environ., 50, 205, 10.1006/jare.2001.0902 Nishida, 2007, Phenological Eyes Network (PEN): a validation network for remote sensing of the terrestrial ecosystems, AsiaFlux Newsl., 21, 9 Nishida, 2000, Seasonal change of grassland vegetation found in the preliminary GLI experiment in the environmental research center, Bull. Terr. Environ. Res. Center, Tsukuba Univ., 1, 1 Richardson, 2007, Use of digital webcam images to track spring green-up in a deciduous broadleaf forest, Oecologia, 152, 323, 10.1007/s00442-006-0657-z Richardson, 2009, Near-surface remote sensing of spatial and temporal variation in canopy phenology, Ecol. Appl., 19, 1417, 10.1890/08-2022.1 Saitoh, 2012, Assessing the use of camera-based indices for characterizing canopy phenology in relation to gross primary production in a deciduous broad-leaved and an evergreen coniferous forest in Japan, Ecol. Inform., 11, 45, 10.1016/j.ecoinf.2012.05.001 Scurlock, 1998, The global carbon sink: a grassland perspective, Glob. Chang. Biol., 4, 229, 10.1046/j.1365-2486.1998.00151.x Sims, 2002, Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages, Remote Sens. Environ., 81, 337, 10.1016/S0034-4257(02)00010-X Sonnentag, 2012, Digital repeat photography for phenological research in forest ecosystems, Agric. For. Meteorol., 152, 159, 10.1016/j.agrformet.2011.09.009 Trumper, 2008, Carbon in drylands: desertification, climate change and carbon finance VanAmburg, 2006, Ground based digital imagery for grassland biomass estimation, Int. J. Remote Sens., 27, 939, 10.1080/01431160500114789 White, 2000 Xiao, 1995, Sensitivity of Inner Mongolia grasslands to climate change, J. Biogeogr., 22, 643, 10.2307/2845965 Xiao, 1996, Temporal variation in aboveground biomass of Leymus chinense steppe from species to community levels in the Xilin River Basin, Inner Mongolia, China, Vegetatio, 123, 1, 10.1007/BF00044884 Xu, 2008, MODIS-based remote sensing monitoring of grass production in China, Int. J. Remote Sens., 29, 5313, 10.1080/01431160802036276 Yang, 2009, Aboveground biomass in Tibetan grasslands, J. Arid Environ., 73, 91, 10.1016/j.jaridenv.2008.09.027 Zhang, 1996, Small-scale vegetation dynamics in semi-arid steppe in Inner Mongolia, J. Arid Environ., 34, 421, 10.1006/jare.1996.0122