Latitudinal gradient of spruce forest understory and tundra phenology in Alaska as observed from satellite and ground-based data

[1]  Nuno Carvalhais,et al.  Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems , 2016, Science.

[2]  Larry D. Hinzman,et al.  Understory CO2, sensible heat, and latent heat fluxes in a black spruce forest in interior Alaska , 2015 .

[3]  Hideki Kobayashi,et al.  A Simple Method for Retrieving Understory NDVI in Sparse Needleleaf Forests in Alaska Using MODIS BRDF Data , 2014, Remote. Sens..

[4]  Yongwon Kim Effect of ablation rings and soil temperature on 3-year spring CO 2 efflux along the Dalton Highway, Alaska , 2014 .

[5]  David Medvigy,et al.  Macroscale prediction of autumn leaf coloration throughout the continental United States , 2014 .

[6]  C. A. Mücher,et al.  Strong contribution of autumn phenology to changes in satellite‐derived growing season length estimates across Europe (1982–2011) , 2014, Global change biology.

[7]  I. Wing,et al.  Net carbon uptake has increased through warming-induced changes in temperate forest phenology , 2014 .

[8]  C. Shim,et al.  Carbon exchange rates in Polytrichum juniperinum moss of burned black spruce forest in interior Alaska , 2014 .

[9]  Hideki Kobayashi,et al.  Relationship between spatio-temporal characteristics of leaf-fall phenology and seasonal variations in near surface- and satellite-observed vegetation indices in a cool-temperate deciduous broad-leaved forest in Japan , 2014 .

[10]  M. Ueyama,et al.  Autumn warming reduces the CO2 sink of a black spruce forest in interior Alaska based on a nine‐year eddy covariance measurement , 2014, Global change biology.

[11]  Markus Reichstein,et al.  Recent shift in Eurasian boreal forest greening response may be associated with warmer and drier summers , 2014 .

[12]  P. Jones,et al.  Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset , 2014 .

[13]  George Burba,et al.  Annual patterns and budget of CO2 flux in an Arctic tussock tundra ecosystem , 2014 .

[14]  Hideki Kobayashi,et al.  Spatial Scale and Landscape Heterogeneity Effects on FAPAR in an Open-Canopy Black Spruce Forest in Interior Alaska , 2014, IEEE Geoscience and Remote Sensing Letters.

[15]  L. Hinzman,et al.  Trajectory of the Arctic as an integrated system. , 2013, Ecological applications : a publication of the Ecological Society of America.

[16]  M. D. Schwartz,et al.  Spring onset variations and trends in the continental United States: past and regional assessment using temperature‐based indices , 2013 .

[17]  Philippe Ciais,et al.  Large‐scale variations in the vegetation growing season and annual cycle of atmospheric CO2 at high northern latitudes from 1950 to 2011 , 2013, Global change biology.

[18]  Stein Rune Karlsen,et al.  Trends in the Start of the Growing Season in Fennoscandia 1982-2011 , 2013, Remote. Sens..

[19]  Philip Lewis,et al.  The fourth radiation transfer model intercomparison (RAMI‐IV): Proficiency testing of canopy reflectance models with ISO‐13528 , 2013 .

[20]  Rikie Suzuki,et al.  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 , 2013 .

[21]  Ranga B. Myneni,et al.  Temperature and vegetation seasonality diminishment over northern lands , 2013 .

[22]  A. Ito,et al.  Characteristics of evapotranspiration from a permafrost black spruce forest in interior Alaska , 2013 .

[23]  Hiroki Iwata,et al.  Variations in fraction of absorbed photosynthetically active radiation and comparisons with MODIS data in burned black spruce forests of interior Alaska , 2013 .

[24]  R. Suzuki,et al.  Application of time-lapse digital imagery for ground-truth verification of satellite indices in the boreal forests of Alaska , 2013 .

[25]  Miina Rautiainen,et al.  Seasonal Contribution of Understory Vegetation to the Reflectance of a Boreal Landscape at Different Spatial Scales , 2013, IEEE Geoscience and Remote Sensing Letters.

[26]  O. Sonnentag,et al.  Climate change, phenology, and phenological control of vegetation feedbacks to the climate system , 2013 .

[27]  Andrew D Richardson,et al.  Seasonal dynamics and age of stemwood nonstructural carbohydrates in temperate forest trees. , 2013, The New phytologist.

[28]  Hideki Kobayashi,et al.  In situ examination of the relationship between various vegetation indices and canopy phenology in an evergreen coniferous forest, Japan , 2012 .

[29]  Wenquan Zhu,et al.  Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982–2006 , 2012 .

[30]  Susan L. Ustin,et al.  Modeling energy and carbon fluxes in a heterogeneous oak woodland: A three-dimensional approach , 2012 .

[31]  Tetsuya Hiyama,et al.  NDVI responses to the forest canopy and floor from spring to summer observed by airborne spectrometer in eastern Siberia , 2011 .

[32]  P. Ciais,et al.  Changes in satellite‐derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006 , 2011 .

[33]  Chang-Hoi Ho,et al.  Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008 , 2011 .

[34]  Hideki Kobayashi,et al.  RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models , 2011 .

[35]  Lars Eklundh,et al.  Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology , 2010 .

[36]  Vladimir A. Alexeev,et al.  Role of Polar Amplification in Long-Term Surface Air Temperature Variations and Modern Arctic Warming , 2010 .

[37]  N. Delbart,et al.  A satellite-based method for monitoring seasonality in the overstory leaf area index of Siberian larch forest , 2010 .

[38]  Jing M. Chen,et al.  Mapping forest background reflectivity over North America with Multi-angle Imaging SpectroRadiometer (MISR) data , 2009 .

[39]  M. Schaepman,et al.  Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006 , 2009 .

[40]  Julien Boé,et al.  Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France. , 2009 .

[41]  W. Oechel,et al.  Methane fluxes during the initiation of a large‐scale water table manipulation experiment in the Alaskan Arctic tundra , 2009 .

[42]  D. Verbyla The greening and browning of Alaska based on 1982-2003 satellite data , 2008 .

[43]  S. Quegan,et al.  Spring phenology in boreal Eurasia over a nearly century time scale , 2008 .

[44]  Hideki Kobayashi,et al.  A coupled 1-D atmosphere and 3-D canopy radiative transfer model for canopy reflectance, light environment, and photosynthesis simulation in a heterogeneous landscape , 2008 .

[45]  P. Ciais,et al.  Net carbon dioxide losses of northern ecosystems in response to autumn warming , 2008, Nature.

[46]  Ghislain Picard,et al.  Modeling the date of leaf appearance in low‐arctic tundra , 2007 .

[47]  A. K. Skidmore,et al.  A ground‐validated NDVI dataset for monitoring vegetation dynamics and mapping phenology in Fennoscandia and the Kola peninsula , 2007 .

[48]  D. Hollinger,et al.  Use of digital webcam images to track spring green-up in a deciduous broadleaf forest , 2007, Oecologia.

[49]  Hideki Kobayashi,et al.  Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest : Multi-satellite data and radiative transfer analyses , 2007 .

[50]  Rommel C. Zulueta,et al.  Effects of climate variability on carbon sequestration among adjacent wet sedge tundra and moist tussock tundra ecosystems , 2006 .

[51]  S. Goetz,et al.  Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[52]  Hideki Kobayashi,et al.  Atmospheric conditions for monitoring the long-term vegetation dynamics in the Amazon using normalized difference vegetation index , 2005 .

[53]  N. Delbart,et al.  Determination of phenological dates in boreal regions using normalized difference water index , 2005 .

[54]  A. Strahler,et al.  Monitoring vegetation phenology using MODIS , 2003 .

[55]  Compton J. Tucker,et al.  Seasonality and trends of snow‐cover, vegetation index, and temperature in northern Eurasia , 2002 .

[56]  S. Running,et al.  A continental phenology model for monitoring vegetation responses to interannual climatic variability , 1997 .

[57]  C. Tucker,et al.  Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.

[58]  J. Chen Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands , 1996 .

[59]  G. Meyer,et al.  Color indices for weed identification under various soil, residue, and lighting conditions , 1994 .

[60]  Y. Kim Effect of ablation rings and soil temperature on 3-year spring CO2 efflux along the Dalton Highway, Alaska , 2014 .

[61]  Kenlo Nishida Nasahara,et al.  Detection of Bio-Meteorological Year-to-Year Variation by Using Digital Canopy Surface Images of a Deciduous Broad-Leaved Forest , 2013 .

[62]  M. Bret-Harte,et al.  Seasonal patterns of carbon dioxide and water fluxes in three representative tundra ecosystems in northern Alaska , 2012 .

[63]  M. Ueyama,et al.  Quick Recovery of Carbon Dioxide Exchanges in a Burned Black Spruce Forest in Interior Alaska , 2011 .

[64]  M. Hardisky The Influence of Soil Salinity, Growth Form, and Leaf Moisture on-the Spectral Radiance of Spartina alterniflora Canopies , 2008 .

[65]  S. Solomon The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[66]  G. Dedieu,et al.  SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum , 1994 .