Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence

A general greening trend in the Arctic tundra biome has been indicated by satellite remote sensing data over recent decades. However, since 2011, there have been signs of browning trends in many parts of the region. Previous research on tundra greenness across the Arctic region has relied on the satellite-derived normalized difference vegetation index (NDVI). In this research, we initially used spatially downscaled solar-induced fluorescence (SIF) data to analyze the spatiotemporal variation of Arctic tundra greenness (2007–2013). The results derived from the SIF data were also compared with those from two NDVIs (the Global Inventory Modeling and Mapping Studies NDVI3g and MOD13Q1 NDVI), and the eddy-covariance (EC) observed gross primary production (GPP). It was found that most parts of the Arctic tundra below 75° N were browning (–0.0098 mW/m2/sr/nm/year, where sr is steradian and nm is nanometer) using SIF, whereas spatially and temporally heterogeneous trends (greening or browning) were obtained based on the two NDVI products. This research has further demonstrated that SIF data can provide an alternative direct proxy for Arctic tundra greenness.

[1]  Gregory Duveiller,et al.  Spatially downscaling sun-induced chlorophyll fluorescence leads to an improved temporal correlation with gross primary productivity , 2016 .

[2]  Compton J. Tucker,et al.  Recent Declines in Warming and Vegetation Greening Trends over Pan-Arctic Tundra , 2013, Remote. Sens..

[3]  Eirik Malnes,et al.  Record-low primary productivity and high plant damage in the Nordic Arctic Region in 2012 caused by multiple weather events and pest outbreaks , 2014 .

[4]  I. C. Prentice,et al.  Climatic Control of the High-Latitude Vegetation Greening Trend and Pinatubo Effect , 2002, Science.

[5]  Anna Liljedahl,et al.  Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology , 2016 .

[6]  M. Rossini,et al.  Solar‐induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest , 2015 .

[7]  P. Zarco-Tejada,et al.  Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery , 2013 .

[8]  Guoqing Sun,et al.  Spaceborne potential for examining taiga-tundra ecotone form and vulnerability. , 2016, Biogeosciences.

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

[10]  Niels Martin Schmidt,et al.  Climate sensitivity of shrub growth across the tundra biome , 2015 .

[11]  David L. Verbyla,et al.  Carbon loss from an unprecedented Arctic tundra wildfire , 2011, Nature.

[12]  Emilio Chuvieco,et al.  Debating the greening vs. browning of the North American boreal forest: differences between satellite datasets , 2010 .

[13]  R. Colombo,et al.  Sun‐induced fluorescence – a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant , 2015, Global change biology.

[14]  Michael E. Schaepman,et al.  Drivers of shortwave radiation fluxes in Arctic tundra across scales , 2017 .

[15]  J. Huissteden,et al.  Potential Arctic tundra vegetation shifts in response to changing temperature, precipitation and permafrost thaw , 2016 .

[16]  Jing M. Chen,et al.  Circumpolar vegetation dynamics product for global change study. , 2016 .

[17]  A. Huete,et al.  Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models , 2014, Global change biology.

[18]  R. Engstrom,et al.  Circumpolar arctic tundra biomass and productivity dynamics in response to projected climate change and herbivory , 2017, Global change biology.

[19]  C. Frankenberg,et al.  Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2 , 2013 .

[20]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

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

[22]  J. Eitel,et al.  High-resolution mapping of aboveground shrub biomass in Arctic tundra using airborne lidar and imagery , 2016 .

[23]  C. Tucker,et al.  Dynamics of aboveground phytomass of the circumpolar Arctic tundra during the past three decades , 2012 .

[24]  D. Walker,et al.  Greening of arctic Alaska, 1981–2001 , 2003 .

[25]  Victoria Miles,et al.  Spatial heterogeneity of greening and browning between and within bioclimatic zones in northern West Siberia , 2016 .

[26]  Su-Jong Jeong,et al.  Arctic greening can cause earlier seasonality of Arctic amplification , 2015 .

[27]  M. Sturm,et al.  The evidence for shrub expansion in Northern Alaska and the Pan‐Arctic , 2006 .

[28]  M. S. Moran,et al.  Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence , 2014, Proceedings of the National Academy of Sciences.

[29]  I. Mammarella,et al.  Solar‐induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO‐2 and flux tower observations , 2018, Global change biology.

[30]  S. Goetz,et al.  Vegetation productivity patterns at high northern latitudes: a multi-sensor satellite data assessment , 2014, Global change biology.

[31]  C. Field,et al.  Canopy near-infrared reflectance and terrestrial photosynthesis , 2017, Science Advances.

[32]  Compton J. Tucker,et al.  A Non-Stationary 1981-2012 AVHRR NDVI3g Time Series , 2014, Remote. Sens..

[33]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[34]  C. Frankenberg,et al.  Prospects for Chlorophyll Fluorescence Remote Sensing from the Orbiting Carbon Observatory-2 , 2014 .

[35]  T. Meyers,et al.  Estimating landscape net ecosystem exchange at high spatial–temporal resolution based on Landsat data, an improved upscaling model framework, and eddy covariance flux measurements , 2014 .

[36]  Michael Dixon,et al.  Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .

[37]  C. Tucker,et al.  Circumpolar Arctic Tundra Vegetation Change Is Linked to Sea Ice Decline , 2010 .

[38]  Robert D. Hollister,et al.  Peak season carbon exchange shifts from a sink to a source following 50+ years of herbivore exclusion in an Arctic tundra ecosystem , 2017 .

[39]  R. Fensholt,et al.  Evaluation of earth observation based long term vegetation trends - Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data , 2009 .

[40]  James R. Drummond,et al.  International Arctic Systems for Observing the Atmosphere: An International Polar Year Legacy Consortium , 2016 .

[41]  Paul Treitz,et al.  Vegetation Greening Trends at Two Sites in the Canadian Arctic: 1984–2015 , 2017, Arctic, Antarctic, and Alpine Research.

[42]  Michelle C. Mack,et al.  The response of Arctic vegetation and soils following an unusually severe tundra fire , 2013, Philosophical Transactions of the Royal Society B: Biological Sciences.

[43]  Ingmar Nitze,et al.  Reduced arctic tundra productivity linked with landform and climate change interactions , 2018, Scientific Reports.

[44]  T. Callaghan,et al.  Impacts of multiple extreme winter warming events on sub‐Arctic heathland: phenology, reproduction, growth, and CO2 flux responses , 2011 .

[45]  J. Canadell,et al.  Greening of the Earth and its drivers , 2016 .

[46]  E. S. Melnikov,et al.  The Circumpolar Arctic vegetation map , 2005 .

[47]  Marc Macias-Fauria,et al.  Eurasian Arctic greening reveals teleconnections and the potential for structurally novel ecosystems , 2012 .

[48]  Toke T. Høye,et al.  Biotic interactions mediate patterns of herbivore diversity in the Arctic , 2016 .

[49]  Jing Lu,et al.  Assessment of Water Use in Pan-Eurasian and African Continents by ETMonitor with Multi-Source Satellite Data , 2017 .

[50]  Niels Martin Schmidt,et al.  Key indicators of Arctic climate change: 1971–2017 , 2019, Environmental Research Letters.

[51]  C. Frankenberg,et al.  Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. , 2014, Journal of experimental botany.

[52]  B. Forbes,et al.  Russian Arctic warming and ‘greening’ are closely tracked by tundra shrub willows , 2010 .

[53]  G. Phoenix,et al.  Arctic browning: extreme events and trends reversing arctic greening , 2016, Global change biology.

[54]  J. Roujean,et al.  A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data , 1992 .

[55]  S. Goetz,et al.  Shrub expansion in tundra ecosystems: dynamics, impacts and research priorities , 2011, Environmental Research Letters.

[56]  C. Frankenberg,et al.  Application of satellite solar-induced chlorophyll fluorescence to understanding large-scale variations in vegetation phenology and function over northern high latitude forests , 2017 .

[57]  Julia Boike,et al.  Baseline characteristics of climate, permafrost and land cover from a new permafrost observatory in the Lena River Delta, Siberia (1998-2011) , 2012 .

[58]  David K. Swanson,et al.  Trends in Greenness and Snow Cover in Alaska's Arctic National Parks, 2000-2016 , 2017, Remote. Sens..