Seasonal changes in camera-based indices from an open canopy black spruce forest in Alaska, and comparison with indices from a closed canopy evergreen coniferous forest in Japan

Polar Science - Tập 7 - Trang 125-135 - 2013
Shin Nagai1, Taro Nakai2, Taku M. Saitoh3, Robert C. Busey2, Hideki Kobayashi1, Rikie Suzuki1, Hiroyuki Muraoka3, Yongwon Kim2
1Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama 236-0001, Japan
2International Arctic Research Center, University of Alaska Fairbanks, 930 Koyukuk Drive, Fairbanks, AK 99775-7340, USA
3River Basin Research Center, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan

Tài liệu tham khảo

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 Bater, 2011, Using digital time-lapse cameras to monitor species-specific understorey and overstorey phenology in support of wildlife habitat assessment, Environ. Model. Assess., 180, 1, 10.1007/s10661-010-1768-x Burba, 2008, Addressing the influence of instrument surface heat exchange on the measurements of CO2 flux from open-path gas analyzers, Global Change Biol., 14, 1854, 10.1111/j.1365-2486.2008.01606.x DeFries, 1994, NDVI-derived land-cover classifications at a global-scale, Int. J. Remote Sens, 15, 3567, 10.1080/01431169408954345 Delbart, 2008, Spring phenology in boreal Eurasia over a nearly century time scale, Global Change Biol., 14, 603, 10.1111/j.1365-2486.2007.01505.x Graham, 2010, Public Internet-connected cameras used as a cross-continental ground-based plant phenology monitoring system, Global Change Biol., 16, 3014 Han, 2003, Photoprotective role of rhodoxanthin during cold acclimation in Cryptomeria japonica, Plant Cell. Environ., 26, 715, 10.1046/j.1365-3040.2003.01008.x Hufkens, 2012, Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology, Remote Sens. Environ., 117, 307, 10.1016/j.rse.2011.10.006 Hughes, 2011, Winter leaf reddening in ‘evergreen’ species, New Phytol., 190, 573, 10.1111/j.1469-8137.2011.03662.x Ide, 2010, Use of digital cameras for phenological observations, Ecol. Inf., 5, 339, 10.1016/j.ecoinf.2010.07.002 Kawamiya, 2012, Foreseeing the forests: vegetation dynamics in an Earth system model, 312 Kobayashi, 2007, Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: multi-satellite data and radiative transfer analyses, Remote Sens. Environ., 106, 238, 10.1016/j.rse.2006.08.011 Lee, 2008, Temporal variation in CO2 efflux from soil and snow surfaces in a Japanese cedar (Cryptomeria japonica) plantation, central Japan, Ecol. Res., 23, 777, 10.1007/s11284-007-0439-z McMillen, 1988, An eddy correlation technique with extended applicability to non-simple terrain, Boundary-Layer Meteorol., 43, 231, 10.1007/BF00128405 Menzel, 2006, European phenological response to climate change matches the warming pattern, Global Change Biol., 12, 1969, 10.1111/j.1365-2486.2006.01193.x Mizunuma, 2011, The comparison of several colour indices for the photographic recording of canopy phenology of Fagus crenata Blume in eastern Japan, Plant Ecol. Divers., 4, 67, 10.1080/17550874.2011.563759 Moore, 1986, Frequency response corrections for eddy correlation systems, Boundary Layer Meteorol., 37, 17, 10.1007/BF00122754 Muraoka, 2012, Linking remote sensing and in situ ecosystem/biodiversity observations by “Satellite Ecology”, 430 Nagai, 2010, What makes the satellite-based EVI-GPP relationship unclear in a deciduous broad-leaved forest?, Ecol. Res., 25, 359, 10.1007/s11284-009-0663-9 Nagai, 2011, Using digital camera images to detect canopy condition of deciduous broad-leaved trees, Plant Ecol. Divers., 4, 78, 10.1080/17550874.2011.579188 Nagai, 2012, In situ examination for the relationship between various vegetation indices and tree phenology in an evergreen coniferous forest, Japan. Int. J. Remote Sens, 33, 6202, 10.1080/01431161.2012.682660 Nakai, 2011, Importance of mixing ratio for a long-term CO2 flux measurement with a closed-path system, Tellus B, 63, 302, 10.1111/j.1600-0889.2011.00538.x Nakai, 2012, Ultrasonic anemometer angle of attack errors under turbulent conditions, Agric. For. Meteorol., 162–163, 14, 10.1016/j.agrformet.2012.04.004 Nishida, 2007, Phenological Eyes Network (PEN)—A validation network for remote sensing of the terrestrial ecosystems, AsiaFlux Newslett., 21, 9 Omi, 2009, Temporal variations of satellite indices at the beginning of the growing period of boreal evergreen forest as detected by Terra/MODIS, J. Jpn. Soc. Hydrol. Water Resour., 22, 141, 10.3178/jjshwr.22.141 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 Richardson, 2010, Influence of spring and autumn phenological transitions on forest ecosystem productivity, Phil. Trans. Roy. Soc. Lond. B Biol. Sci., 365, 3227, 10.1098/rstb.2010.0102 Saitoh, 2010, Carbon dioxide exchange in a cool-temperate evergreen coniferous forest over complex topography in Japan during two years with contrasting climates, J. Plant Res., 123, 473, 10.1007/s10265-009-0308-7 Saitoh, 2012, Examination of the extinction coefficient in the Beer–Lambert law for an accurate estimation of the forest canopy leaf area index, For. Sci. Tech., 8, 67 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 Schotanus, 1983, Temperature measurement with a sonic anemometer and its application to heat and moisture fluctuations, Boundary Layer Meteorol., 26, 81, 10.1007/BF00164332 Sims, 2002, Relationship 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 Spitters, 1986, Separating the diffuse and direct components of global radiation and its implications for modeling canopy photosynthesis part I. Components of incoming radiation, Agric. For. Meteorol., 38, 217, 10.1016/0168-1923(86)90060-2 Sugiura, 2011, Supersite as a common platform for multi-observations in Alaska for a collaborative framework between JAMSTEC and IARC, JAMSTEC Rep. Res. Devel, 12, 61, 10.5918/jamstecr.12.61 Suzuki, 2011, NDVI responses to the forest canopy and floor from spring to summer observed by airborne spectrometer in eastern Siberia, Remote Sens. Environ., 115, 3615, 10.1016/j.rse.2011.08.022 Thomas, 2009, Seasonal hydrology explains interannual and seasonal variation in carbon and water exchange in a semiarid mature ponderosa pine forest in central Oregon, J. Geophys. Res, 114, G04006, 10.1029/2009JG001010 Tsuchida, 2005, Phenological Eyes Network for validation of remote sensing data, J. Remote Sens. Soc. Jpn., 25, 282 Ueyama, 2006, Controlling factors on the interannual CO2 budget at a subarctic black spruce forest in interior Alaska, Tellus, 58B, 491, 10.1111/j.1600-0889.2006.00205.x Ueyama, 2012, Influences of various calculation options on heat, water and carbon fluxes determined by open- and closed-path eddy covariance methods, Tellus, 64B, 19048, 10.3402/tellusb.v64i0.19048 Vickers, 1997, Quality control and flux sampling problems for tower and aircraft data, J. Atmos. Oceanic Tech., 14, 512, 10.1175/1520-0426(1997)014<0512:QCAFSP>2.0.CO;2 Wahid, 2007, Possibilities of landuse/landcover classification using ALOS AVNIR-2 in Takayama, J. Jpn. Soc. Photo. Remote Sens, 46, 56 Webb, 1980, Correction of the flux measurements for density effects due to heat and water vapour transfer, Quart. J. Roy. Meteorol. Soc., 106, 85, 10.1002/qj.49710644707 Woebbecke, 1995, Color indexes for weed identification under various soil, residue, and lighting conditions, Trans. Am. Soc. Agric. Biol. Eng., 38, 259, 10.13031/2013.27838 Zhao, 2012, Using digital cameras for comparative phenological monitoring in an evergreen broad-leaved forest and a seasonal rain forest, Ecol. Inform., 10, 65, 10.1016/j.ecoinf.2012.03.001