Response of Vegetation Photosynthetic Phenology to Urbanization in Dongting Lake Basin, China

Urbanization can induce environmental changes such as the urban heat island effect, which in turn influence the terrestrial ecosystem. However, the effect of urbanization on the phenology of subtropical vegetation remains relatively unexplored. This study analyzed the changing trend of vegetation photosynthetic phenology in Dongting Lake basin, China, and its response to urbanization using nighttime light and chlorophyll fluorescence datasets. Our results indicated the start of the growing season (SOS) of vegetation in the study area was significantly advanced by 0.70 days per year, whereas the end of the growing season (EOS) was delayed by 0.24 days per year during 2000–2017. We found that urbanization promoted the SOS advance and EOS delay. With increasing urbanization intensity, the sensitivity of SOS to urbanization firstly increased then decreased, while the sensitivity of EOS to urbanization decreased with urbanization intensity. The climate sensitivity of vegetation phenology varied with urbanization intensity; urbanization induced an earlier SOS by increasing preseason minimum temperatures and a later EOS by increasing preseason precipitation. These findings improve our understanding of the vegetation phenology response to urbanization in subtropical regions and highlight the need to integrate human activities into future vegetation phenology models.

[1]  Xiaolin Zhu,et al.  Plant phenology and global climate change: Current progresses and challenges , 2019, Global change biology.

[2]  M. Shen,et al.  Precipitation impacts on vegetation spring phenology on the Tibetan Plateau , 2015, Global change biology.

[3]  C. Peng,et al.  Strong controls of daily minimum temperature on the autumn photosynthetic phenology of subtropical vegetation in China , 2021, Forest ecosystems.

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

[5]  C. Peng,et al.  Change in Autumn Vegetation Phenology and the Climate Controls From 1982 to 2012 on the Qinghai–Tibet Plateau , 2020, Frontiers in Plant Science.

[6]  E. Tomelleri,et al.  The urban imprint on plant phenology , 2019, Nature Ecology & Evolution.

[7]  A. P. Williams,et al.  Light limitation regulates the response of autumn terrestrial carbon uptake to warming , 2020, Nature Climate Change.

[8]  F. Hao,et al.  Integrated phenology and climate in rice yields prediction using machine learning methods , 2021 .

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

[11]  Xing Li,et al.  Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2 , 2019, Remote. Sens..

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

[13]  Quansheng Ge,et al.  Phenological response to climate change in China: a meta‐analysis , 2015, Global change biology.

[14]  Annette Menzel,et al.  Urban phenological studies - Past, present, future. , 2015, Environmental pollution.

[15]  Ziming Li,et al.  Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data , 2020, Int. J. Appl. Earth Obs. Geoinformation.

[16]  Kevin J. Gaston,et al.  Ecological effects of artificial light at night on wild plants , 2016 .

[17]  P. Hesp,et al.  Effects of artificial light on flowering of foredune vegetation. , 2019, Ecology.

[18]  张嫱 Zhang Qiang,et al.  Response of vegetation phenology to drought in Inner Mongolia from 1982 to 2013 , 2019, Acta Ecologica Sinica.

[19]  Ming Jiang,et al.  Asymmetric effects of daytime and nighttime warming on spring phenology in the temperate grasslands of China , 2018, Agricultural and Forest Meteorology.

[20]  Philippe Ciais,et al.  Declining global warming effects on the phenology of spring leaf unfolding , 2015, Nature.

[21]  Volker Dose,et al.  Detecting nonlinear response of spring phenology to climate change by Bayesian analysis , 2013, Global change biology.

[22]  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.

[23]  L. Guanter,et al.  Satellite chlorophyll fluorescence measurements reveal large‐scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests , 2016, Global change biology.

[24]  L. Jiao,et al.  Artificial light pollution inhibits plant phenology advance induced by climate warming. , 2021, Environmental pollution.

[25]  Tong Zhu,et al.  Inconsistent urbanization effects on summer precipitation over the typical climate regions in central and eastern China , 2020, Theoretical and Applied Climatology.

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

[27]  Howard E. Epstein,et al.  Elevation and Climate Effects on Vegetation Greenness in an Arid Mountain-Basin System of Central Asia , 2020, Remote. Sens..

[28]  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 .

[29]  Weimin Ju,et al.  Contrasting responses of autumn-leaf senescence to daytime and night-time warming , 2018, Nature Climate Change.

[30]  A. Menzel,et al.  Climate change fingerprints in recent European plant phenology , 2020, Global change biology.

[31]  H. Andrade,et al.  The cooling effect of green spaces as a contribution to the mitigation of urban heat: A case study i , 2011 .

[32]  Yuyu Zhou,et al.  Urban warming advances spring phenology but reduces the response of phenology to temperature in the conterminous United States , 2020, Proceedings of the National Academy of Sciences.

[33]  Yuyu Zhou,et al.  Response of vegetation phenology to urbanization in the conterminous United States , 2017, Global change biology.

[34]  Brian J. Stucky,et al.  The effect of urbanization on plant phenology depends on regional temperature , 2019, Nature Ecology & Evolution.

[35]  Meng Huang,et al.  Study of the Cooling Effects of Urban Green Space in Harbin in Terms of Reducing the Heat Island Effect , 2018 .

[36]  A. Thomson,et al.  A global map of urban extent from nightlights , 2015 .

[37]  Hans W. Linderholm,et al.  Growing season changes in the last century , 2006 .

[38]  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 .

[39]  Shuguang Liu,et al.  Remotely sensed assessment of urbanization effects on vegetation phenology in China's 32 major cities. , 2016 .

[40]  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.

[41]  Yahui Guo,et al.  Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods , 2020, Sensors.

[42]  Jingfeng Xiao,et al.  Global climatic controls on interannual variability of ecosystem productivity: Similarities and differences inferred from solar-induced chlorophyll fluorescence and enhanced vegetation index , 2020 .

[43]  C. Peng,et al.  Combined control of multiple extreme climate stressors on autumn vegetation phenology on the Tibetan Plateau under past and future climate change , 2021 .

[44]  F. Hao,et al.  Short photoperiod reduces the temperature sensitivity of leaf‐out in saplings of Fagus sylvatica but not in horse chestnut , 2019, Global change biology.

[45]  K. Gaston,et al.  Artificial light at night alters grassland vegetation species composition and phenology , 2018 .

[46]  Paul Segall,et al.  Post-earthquake ground movements correlated to pore-pressure transients , 2003, Nature.

[47]  Yin Ren,et al.  Temporal trend of green space coverage in China and its relationship with urbanization over the last two decades. , 2013, The Science of the total environment.

[48]  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 .

[49]  Rasmus Fensholt,et al.  Evaluation of the Plant Phenology Index (PPI), NDVI and EVI for Start-of-Season Trend Analysis of the Northern Hemisphere Boreal Zone , 2017, Remote. Sens..

[50]  Olivier Gimenez,et al.  Environmental influence on canopy phenology in the dry tropics , 2005 .

[51]  F. Hao,et al.  Increasing importance of precipitation in spring phenology with decreasing latitudes in subtropical forest area in China , 2021, Agricultural and Forest Meteorology.

[52]  Min Liu,et al.  Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons , 2019, Nature Ecology & Evolution.

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

[54]  Conghe Song,et al.  Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities , 2020 .

[55]  Shilong Piao,et al.  Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China , 2016, Global change biology.

[56]  Noelia Oses,et al.  Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods , 2021, Remote. Sens..

[57]  G. Henebry,et al.  Urbanization imprint on land surface phenology: The urban–rural gradient analysis for Chinese cities , 2021, Global change biology.

[58]  P. Ciais,et al.  Has the advancing onset of spring vegetation green‐up slowed down or changed abruptly over the last three decades? , 2015 .

[59]  C. Zohner Phenology and the city , 2019, Nature Ecology & Evolution.