Remotely sensed assessment of urbanization effects on vegetation phenology in China's 32 major cities.

Abstract Urbanization-induced phenological shifts may provide evidence on how vegetation will respond to global warming. However, the effects of urbanization on vegetation phenology are poorly understood in urban environments. Using MODIS data between 2007 and 2013, we investigated the trends of the phenological metrics (i.e., start, end, and length of growing season: SOS, EOS and GSL) of individual cities and across cities relative to rural areas for China's 32 major cities. We found that the effects of urbanization on phenology decayed exponentially toward rural areas, and were closely related to the land surface temperature (LST) for more than half of the cities. The phenological sensitivity to temperature were 9–11 days SOS advance and 6–10 days EOS delay per 1 °C increase of LST. On average across all cities, the growing season started 11.9 days earlier and ended 5.4 days later in urban zones compared to rural counterparts. The urbanization effects increased with increasing latitudes, following the pattern of urban heat island effects in general. Our study suggests the value of urban environments in studying the phenological responses to future global change. However, the urbanization impacts are complex and need more direct observations, experimental manipulations, and cross-boundary inter-comparison studies.

[1]  R. Ceulemans,et al.  Effects of elevated atmospheric CO(2) on phenology, growth and crown structure of Scots pine (Pinus sylvestris) seedlings after two years of exposure in the field. , 1999, Tree physiology.

[2]  F. Lloret,et al.  Effect of flowering phenology and habitat on pollen limitation in Erica multiflora , 1999 .

[3]  Annette Menzel,et al.  Can spatial data substitute temporal data in phenological modelling? A survey using birch flowering. , 2013, Tree physiology.

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

[5]  Serge Rambal,et al.  Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements , 2013 .

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

[7]  Koen Kramer,et al.  Selecting a model to predict the onset of growth of Fagus sylvatica , 1994 .

[8]  Q. Ge,et al.  Phenological responses of plants to climate change in an urban environment , 2007, Ecological Research.

[9]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[10]  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.

[11]  S. Piao,et al.  Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis , 2012 .

[12]  W. Oechel,et al.  FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .

[13]  Y. Aono,et al.  Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century , 2008 .

[14]  Mark A. Friedl,et al.  Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements , 2006 .

[15]  H. Tian,et al.  Spatial and temporal patterns of China's cropland during 1990¿2000: An analysis based on Landsat TM data , 2005 .

[16]  America,et al.  GLOBE students , teachers , and scientists demonstrate variable differences between urban and rural leaf phenology , 2008 .

[17]  Jeff Dozier,et al.  A generalized split-window algorithm for retrieving land-surface temperature from space , 1996, IEEE Trans. Geosci. Remote. Sens..

[18]  F Forastiere,et al.  Projections of the effects of climate change on allergic asthma: the contribution of aerobiology , 2010, Allergy.

[19]  P. Ciais,et al.  Influence of spring and autumn phenological transitions on forest ecosystem productivity , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[20]  Shuguang Liu,et al.  Spatiotemporal trends of terrestrial vegetation activity along the urban development intensity gradient in China's 32 major cities. , 2014, The Science of the total environment.

[21]  D. Dragoni,et al.  Trends in fall phenology across the deciduous forests of the Eastern USA , 2012 .

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

[23]  Z. Wan New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products , 2008 .

[24]  Executive Summary World Urbanization Prospects: The 2018 Revision , 2019 .

[25]  A. Strahler,et al.  The footprint of urban climates on vegetation phenology , 2004 .

[26]  Per Jönsson,et al.  TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..

[27]  L. Ziska,et al.  Cities as harbingers of climate change: common ragweed, urbanization, and public health. , 2003, The Journal of allergy and clinical immunology.

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

[29]  Jianguo Wu,et al.  Urbanization diversifies land surface phenology in arid environments: Interactions among vegetation, climatic variation, and land use pattern in the Phoenix metropolitan region, USA , 2012 .

[30]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[31]  Jianguo Wu,et al.  Effects of urbanization on plant flowering phenology: A review , 2006, Urban Ecosystems.

[32]  K. Beurs,et al.  The response of African land surface phenology to large scale climate oscillations , 2010 .

[33]  Jianhua Xu,et al.  Land Surface Phenology and Land Surface Temperature Changes Along an Urban–Rural Gradient in Yangtze River Delta, China , 2013, Environmental Management.

[34]  G. Kudo,et al.  Does seed production of spring ephemerals decrease when spring comes early? , 2004, Ecological Research.

[35]  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 .

[36]  Decheng Zhou,et al.  Surface urban heat island in China's 32 major cities: Spatial patterns and drivers , 2014 .

[37]  Paul Brindley,et al.  Temporal changes in greenspace in a highly urbanized region , 2011, Biology Letters.

[38]  A. Arnfield Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island , 2003 .

[39]  Eberhard Parlow,et al.  Validation of satellite observed thermal emission with in-situ measurements over an urban surface , 2006 .

[40]  S. Piao,et al.  Interannual variations of monthly and seasonal normalized difference vegetation index (NDVI) in China from 1982 to 1999 , 2003 .

[41]  P. Ciais,et al.  Response to Comment on ``Surface Urban Heat Island Across 419 Global Big Cities'' , 2012 .

[42]  S. Running,et al.  Satellite Evidence of Phenological Differences Between Urbanized and Rural Areas of the Eastern United States Deciduous Broadleaf Forest , 2002, Ecosystems.

[43]  K. Seto,et al.  Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools , 2012, Proceedings of the National Academy of Sciences.

[44]  D. Civco,et al.  THE DIMENSIONS OF GLOBAL URBAN EXPANSION: ESTIMATES AND PROJECTIONS FOR ALL COUNTRIES, 2000–2050 , 2011 .

[45]  Peter M. Atkinson,et al.  Intercomparison of satellite sensor land surface phenology and ground phenology in Europe , 2015 .

[46]  P. Atkinson,et al.  Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology , 2012 .

[47]  Annette Menzel,et al.  The influence of altitude and urbanisation on trends and mean dates in phenology (1980–2009) , 2012, International Journal of Biometeorology.

[48]  Jennifer N. Hird,et al.  Noise reduction of NDVI time series: An empirical comparison of selected techniques , 2009 .

[49]  P. Gong,et al.  MODIS detected surface urban heat islands and sinks: Global locations and controls , 2013 .

[50]  Rudolf de Groot,et al.  The influence of temperature and climate change on the timing of pollen release in the Netherlands , 2002 .

[51]  K. Seto,et al.  A Meta-Analysis of Global Urban Land Expansion , 2011, PloS one.

[52]  V. Dubreuil,et al.  Urbanisation induces early flowering: evidence from Platanus acerifolia and Prunus cerasus , 2009, International journal of biometeorology.

[53]  Lukas H. Meyer,et al.  Summary for Policymakers , 2022, The Ocean and Cryosphere in a Changing Climate.

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

[55]  T. Oke The energetic basis of the urban heat island , 1982 .

[56]  G. Sun,et al.  The footprint of urban heat island effect in China , 2015, Scientific Reports.

[57]  Jiri Nekovar,et al.  Phenology in central Europe – differences and trends of spring phenophases in urban and rural areas , 2000, International journal of biometeorology.

[58]  Taylor H. Ricketts,et al.  The consequences of urban land transformation on net primary productivity in the United States , 2004 .

[59]  Howard E. Epstein,et al.  Recent changes in phenology over the northern high latitudes detected from multi-satellite data , 2011 .

[60]  K. Oleson,et al.  Strong contributions of local background climate to urban heat islands , 2014, Nature.

[61]  P. Ciais,et al.  Variations in satellite‐derived phenology in China's temperate vegetation , 2006 .

[62]  Josep Peñuelas,et al.  Complex spatiotemporal phenological shifts as a response to rainfall changes. , 2004, The New phytologist.

[63]  Decheng Zhou,et al.  Rates and patterns of urban expansion in China’s 32 major cities over the past three decades , 2015, Landscape Ecology.

[64]  Xuhui Lee,et al.  Advance of tree-flowering dates in response to urban climate change , 2006 .

[65]  Jin Chen,et al.  A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter , 2004 .