Driving Forces of the Changes in Vegetation Phenology in the Qinghai-Tibet Plateau

Phenological change is an emerging hot topic in ecology and climate change research. Existing phenological studies in the Qinghai–Tibet Plateau (QTP) have focused on overall changes, while ignoring the different characteristics of changes in different regions. Here, we use the Global Inventory Modeling and Mapping Studies (GIMMS3g) normalized difference vegetation index (NDVI) dataset as a basis to discuss the temporal and spatial changes in vegetation phenology in the Qinghai–Tibet Plateau from 1982 to 2015. We also analyze the response mechanisms of pre-season climate factor and vegetation phenology and reveal the driving forces of the changes in vegetation phenology. The results show that: (1) the start of the growing season (SOS) and the length of the growing season (LOS) in the QTP fluctuate greatly year by year; (2) in the study area, the change in pre-season precipitation significantly affects the SOS in the northeast (p < 0.05), while, the delay in the end of the growing season (EOS) in the northeast is determined by pre-season air temperature and precipitation; (3) pre-season precipitation in April or May is the main driving force of the SOS of different vegetation, while air temperature and precipitation in the pre-season jointly affect the EOS of different vegetation. The differences in and the diversity of vegetation types together lead to complex changes in vegetation phenology across different regions within the QTP. Therefore, addressing the characteristics and impacts of changes in vegetation phenology across different regions plays an important role in ecological protection in this region.

[1]  Bin Zhao,et al.  Spatio-temporal changes in urban green space in 107 Chinese cities (1990-2019): The role of economic drivers and policy , 2021, Int. J. Appl. Earth Obs. Geoinformation.

[2]  T. Bolch,et al.  Importance and vulnerability of the world’s water towers , 2019, Nature.

[3]  Juergen Kreyling,et al.  Winter warming effects on tundra shrub performance are species‐specific and dependent on spring conditions , 2018 .

[4]  L. C. Bliss,et al.  Autecology of Kobresia bellardii: Why Winter Snow Accumulation Limits Local Distribution , 1979 .

[5]  P. Ciais,et al.  Seasonally different response of photosynthetic activity to daytime and night‐time warming in the Northern Hemisphere , 2015, Global change biology.

[6]  Andrew D Richardson,et al.  The timing of autumn senescence is affected by the timing of spring phenology: implications for predictive models , 2015, Global change biology.

[7]  C. Bigler,et al.  Daily Maximum Temperatures Induce Lagged Effects on Leaf Unfolding in Temperate Woody Species Across Large Elevational Gradients , 2019, Front. Plant Sci..

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

[9]  Yanhong Tang,et al.  Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau , 2011 .

[10]  T. Yao,et al.  Review of climate and cryospheric change in the Tibetan Plateau , 2010 .

[11]  Sergio M. Vicente-Serrano,et al.  Response of vegetation to drought time-scales across global land biomes , 2012, Proceedings of the National Academy of Sciences.

[12]  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.

[13]  M. Shen,et al.  Emerging opportunities and challenges in phenology: a review , 2016 .

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

[15]  S. Oberbauer,et al.  PHOTOSYNTHESIS OF ARCTIC EVERGREENS UNDER SNOW: IMPLICATIONS FOR TUNDRA ECOSYSTEM CARBON BALANCE , 2003 .

[16]  H. B. Mann Nonparametric Tests Against Trend , 1945 .

[17]  Miaogen Shen,et al.  Spring phenology was not consistently related to winter warming on the Tibetan Plateau , 2011, Proceedings of the National Academy of Sciences.

[18]  John L. Innes,et al.  Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai-Tibetan Plateau from 1982 to 2011 , 2014 .

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

[20]  P. Ciais,et al.  Widespread decline of Congo rainforest greenness in the past decade , 2014, Nature.

[21]  Shilong Piao,et al.  No evidence of continuously advanced green-up dates in the Tibetan Plateau over the last decade , 2013, Proceedings of the National Academy of Sciences.

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

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

[24]  Jinwei Dong,et al.  Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011 , 2013, Proceedings of the National Academy of Sciences.

[25]  J. Welker,et al.  Winter snow and spring temperature have differential effects on vegetation phenology and productivity across Arctic plant communities , 2020, Global change biology.

[26]  Sonja Wipf,et al.  Phenology, growth, and fecundity of eight subarctic tundra species in response to snowmelt manipulations , 2010, Plant Ecology.

[27]  D. Hollinger,et al.  Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests. , 2009, Tree physiology.

[28]  Mark A. Friedl,et al.  Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology , 2012 .

[29]  Marcel E. Visser Phenology: Interactions of climate change and species , 2016, Nature.

[30]  H. Hänninen,et al.  Larger temperature response of autumn leaf senescence than spring leaf‐out phenology , 2018, Global change biology.

[31]  Shilong Piao,et al.  Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai–Tibetan Plateau , 2014 .

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

[33]  张. Z. Juan,et al.  Phenological variation of alpine grasses (Gramineae) in the northeastern Qinghai-Tibetan Plateau, China during the last 20 years , 2014 .

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

[35]  Xianguo Lu,et al.  Spatiotemporal Change of Vegetation Coverage and its Relationship with Climate Change in Freshwater Marshes of Northeast China , 2018, Wetlands.

[36]  Robert P. Sheridan,et al.  Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling , 2003, J. Chem. Inf. Comput. Sci..

[37]  Xiangming Xiao,et al.  Spatial analysis of growing season length control over net ecosystem exchange , 2005 .

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

[39]  Mingjun Ding,et al.  Spatiotemporal variation in alpine grassland phenology in the Qinghai-Tibetan Plateau from 1999 to 2009 , 2013 .

[40]  Shunlin Liang,et al.  Time‐lag effects of global vegetation responses to climate change , 2015, Global change biology.

[41]  Eike Luedeling,et al.  Winter and spring warming result in delayed spring phenology on the Tibetan Plateau , 2010, Proceedings of the National Academy of Sciences.

[42]  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.

[43]  Jing Zhang,et al.  The Influences of Climate Change and Human Activities on Vegetation Dynamics in the Qinghai-Tibet Plateau , 2016, Remote. Sens..

[44]  Meng Wang,et al.  Dynamics of vegetation autumn phenology and its response to multiple environmental factors from 1982 to 2012 on Qinghai-Tibetan Plateau in China. , 2018, The Science of the total environment.

[45]  John A. Silander,et al.  Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts , 2015, Proceedings of the National Academy of Sciences.

[46]  Jie Ying Gao,et al.  Leaf senescence exhibits stronger climatic responses during warm than during cold autumns , 2020, Nature Climate Change.

[47]  C. Parmesan Ecological and Evolutionary Responses to Recent Climate Change , 2006 .

[48]  O. Hoegh‐Guldberg,et al.  Ecological responses to recent climate change , 2002, Nature.

[49]  H. Xie,et al.  Response of Tibetan Plateau lakes to climate change: Trends, patterns, and mechanisms , 2020 .

[50]  S. Keesstra,et al.  Short‐Term Vegetation Recovery after a Grassland Fire in Lithuania: The Effects of Fire Severity, Slope Position and Aspect , 2016 .

[51]  M. Goulden,et al.  Rapid shifts in plant distribution with recent climate change , 2008, Proceedings of the National Academy of Sciences.

[52]  V. Singh,et al.  Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change (1982-2013) , 2018 .

[53]  M. Bierkens,et al.  Climate Change Will Affect the Asian Water Towers , 2010, Science.

[54]  Josep Peñuelas,et al.  Phenology Feedbacks on Climate Change , 2009, Science.

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