Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau

Ecological Informatics - Tập 65 - Trang 101413 - 2021
Chan Diao1,2,3,4, Yü Liu5,3, Liang Zhao6,7, Zhuo Ga8, Yongqing Zhang1
1College of Geographical Science, Shanxi Normal University, Linfen 041000, China
2Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
3Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
4State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
5College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
6Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
7State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
8Tibet Institute of Plateau Atmospheric and Environmental Sciences, Lasa 850100, China

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Anderegg, 2015, Pervasive drought legacies in forest ecosystems and their implications for carbon cycle models, Science, 349, 528, 10.1126/science.aab1833

Bernacchi, 2015, Terrestrial ecosystems in a changing environment: a dominant role for water, Annu. Rev. Plant Biol., 66, 599, 10.1146/annurev-arplant-043014-114834

Bonan, 2008, Forests and climate change: forcings, feedbacks, and the climate benefits of forests, Science, 320, 1444, 10.1126/science.1155121

Che, 2014, Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai–Tibetan plateau from 1982 to 2011, Agric. For. Meteorol., 189-190, 81, 10.1016/j.agrformet.2014.01.004

Chen, 2014, Using satellite based soil moisture to quantify the water driven variability in NDVI: a case study over mainland Australia, Remote Sens. Environ., 140, 330, 10.1016/j.rse.2013.08.022

Chen, 2015, Temperature and snowfall trigger alpine vegetation green-up on the world’s roof, Glob. Chang. Biol., 21, 3635, 10.1111/gcb.12954

Chen, 2019, Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink, Nat. Commun., 10, 4259, 10.1038/s41467-019-12257-8

Deng, 2017, Past and future carbon sequestration benefits of China’s grain for green program, Glob. Environ. Chang., 47, 13, 10.1016/j.gloenvcha.2017.09.006

Ding, 2020, Global analysis of time-lag and -accumulation effects of climate on vegetation growth, Int. J. Appl. Earth Obs. Geoinf., 92, 102179

Dong, 2020, Enhancing sustainability of grassland ecosystems through ecological restoration and grazing management in an era of climate change on Qinghai-Tibetan plateau, Agric. Ecosyst. Environ., 287, 106684, 10.1016/j.agee.2019.106684

D’Orangeville, 2018, Drought timing and local climate determine the sensitivity of eastern temperate forests to drought, Glob. Chang. Biol., 24, 2339, 10.1111/gcb.14096

Forzieri, 2017, Satellites reveal contrasting responses of regional climate to the widespread greening of earth, Science, 356, 1180, 10.1126/science.aal1727

Ge, 2020, Impact of revegetation of the loess plateau of China on the regional growing season water balance, Hydrol. Earth. Syst. Sc, 24, 515, 10.5194/hess-24-515-2020

Gerard, 2020, Leaf phenology amplitude derived from MODIS NDVI and EVI: maps of leaf phenology synchrony for Meso- and South America, Geosci. Data J., 7, 13, 10.1002/gdj3.87

Gessner, 2013, The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia, Glob. Planet. Chang., 110, 74, 10.1016/j.gloplacha.2012.09.007

Gideon, 1978, Estimating the dimension of a model, Ann. Stat., 6, 461

Granger, C.W.J., 2001. Investigating causal relations by econometric models and cross-spectral methods, in: Granger, C.W.J., Ghysels, E., Watson, M.W., Swanson, N.R., Essays in Econometrics: Collected Papers of Clive W. J. Granger: Volume 2: Causality, Integration and Cointegration, and Long Memory. Cambridge University Press, Cambridge, pp. 31-47.

Green, 2017, Regionally strong feedbacks between the atmosphere and terrestrial biosphere, Nat. Geosci., 10, 410, 10.1038/ngeo2957

Guo, 2020, Spatial and temporal change patterns of net primary productivity and its response to climate change in the Qinghai-Tibet plateau of China from 2000 to 2015. J, Arid Land, 12, 1, 10.1007/s40333-019-0070-1

Gupta, 2021, Unravelling the teleconnections between ENSO and dry/wet conditions over India using nonlinear Granger causality, Atmos. Res., 247, 105168, 10.1016/j.atmosres.2020.105168

Huang, 2018, The moderating or amplifying biophysical effects of afforestation on CO2-induced cooling depend on the local background climate regimes in China, Agric. For. Meteorol., 260-261, 193, 10.1016/j.agrformet.2018.05.020

Huang, 2020, Assessing global and regional effects of reconstructed land-use and land-cover change on climate since 1950 using a coupled land–Atmosphere–Ocean model, J. Clim., 33, 8997, 10.1175/JCLI-D-20-0108.1

Hurst, 1951, Long-term storage capacity of reservoirs, Trans. Am. Soc. Civ. Eng., 116, 770, 10.1061/TACEAT.0006518

Jasechko, 2014, The pronounced seasonality of global groundwater recharge, Water Resour. Res., 50, 8845, 10.1002/2014WR015809

Jiang, 2015, Observational evidence for impacts of vegetation change on local surface climate over northern China using the Granger causality test, J. Geophys. Res. Biogeosci., 120, 1, 10.1002/2014JG002741

Keenan, 2018, Greening of the land surface in the world’s cold regions consistent with recent warming, Nat. Clim. Chang., 8, 825, 10.1038/s41558-018-0258-y

Kong, 2018, Vegetation-climate interactions on the loess plateau: a nonlinear Granger causality analysis, J. Geophys. Res. Atmos., 123, 11,068, 10.1029/2018JD029036

Kong, 2020, Time lag of vegetation growth on the loess plateau in response to climate factors: estimation, distribution, and influence, Sci. Total Environ., 744, 140726, 10.1016/j.scitotenv.2020.140726

Li, 2018, Vulnerability of the global terrestrial ecosystems to climate change, Glob. Chang. Biol., 24, 4095, 10.1111/gcb.14327

Li, 2018, Divergent hydrological response to large-scale afforestation and vegetation greening in China, Sci. Adv., 4, 10.1126/sciadv.aar4182

Li, 2019, Increasing sensitivity of alpine grasslands to climate variability along an elevational gradient on the Qinghai-Tibet plateau, Sci. Total Environ., 678, 21, 10.1016/j.scitotenv.2019.04.399

Li, 2020, Local and teleconnected temperature effects of afforestation and vegetation greening in China, Natl. Sci. Rev., 7, 897, 10.1093/nsr/nwz132

Long, 2010, Time lag analysis between vegetation and climate change in Inner Mongolia, 1513

Ma, 2021, Projections of desertification trends in Central Asia under global warming scenarios, Sci. Total Environ., 781, 146777, 10.1016/j.scitotenv.2021.146777

Mandelbrot, 1969, Robustness of the rescaled range R/S in the measurement of noncyclic long run statistical dependence, Water Resour. Res., 5, 967, 10.1029/WR005i005p00967

Mo, 2019, Spatiotemporal variation of correlation between vegetation cover and precipitation in an arid mountain-oasis river basin in Northwest China, J. Hydrol., 574, 138, 10.1016/j.jhydrol.2019.04.044

Ni, 2018, No upward shift of alpine grassland distribution on the Qinghai-Tibetan plateau despite rapid climate warming from 2000 to 2014, Sci. Total Environ., 625, 1361, 10.1016/j.scitotenv.2018.01.034

Pan, 2017, Contributions of climatic and non-climatic drivers to grassland variations on the Tibetan plateau, Ecol. Eng., 108, 307, 10.1016/j.ecoleng.2017.07.039

Papagiannopoulou, 2017, Vegetation anomalies caused by antecedent precipitation in most of the world, Environ. Res. Lett., 12, 10.1088/1748-9326/aa7145

Pei, 2018, Monitoring the vegetation activity in China using vegetation health indices, Agric. For. Meteorol., 248, 215, 10.1016/j.agrformet.2017.10.001

Peng, 2013, Asymmetric effects of daytime and night-time warming on northern hemisphere vegetation, Nature, 501, 88, 10.1038/nature12434

Peng, 2014, Afforestation in China cools local land surface temperature, Proc. Natl. Acad. Sci. U. S. A., 111, 2915, 10.1073/pnas.1315126111

Peng, 2019, Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China, J. Clean. Prod., 233, 353, 10.1016/j.jclepro.2019.05.355

Piao, 2004, Variation in a satellite-based vegetation index in relation to climate in China, J. Veg. Sci., 15, 219, 10.1658/1100-9233(2004)015[0219:VIASVI]2.0.CO;2

Piao, 2006, Variations in vegetation net primary production in the Qinghai-Xizang plateau, China, from 1982 to 1999, Clim. Chang., 74, 253, 10.1007/s10584-005-6339-8

Piao, 2006, NDVI-based increase in growth of temperate grasslands and its responses to climate changes in China, Glob. Environ. Chang., 16, 340, 10.1016/j.gloenvcha.2006.02.002

Piao, 2011, Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang plateau, Agric. For. Meteorol., 151, 1599, 10.1016/j.agrformet.2011.06.016

Piao, 2015, Detection and attribution of vegetation greening trend in China over the last 30 years, Glob. Chang. Biol., 21, 1601, 10.1111/gcb.12795

Piao, 2020, Characteristics, drivers and feedbacks of global greening, Nat. Rev. Earth. Environ., 1, 14, 10.1038/s43017-019-0001-x

Qu, 2020, Distinguishing the impacts of climate change and anthropogenic factors on vegetation dynamics in the Yangtze River basin, China. Ecol. Indic., 108, 105724, 10.1016/j.ecolind.2019.105724

Rundquist, 2000, The effects of climatic factors on vegetation dynamics of tallgrass and shortgrass cover, Geocarto Int., 15, 33, 10.1080/10106040008542161

Shen, 2015, Precipitation impacts on vegetation spring phenology on the Tibetan plateau, Glob. Chang. Biol., 21, 3647, 10.1111/gcb.12961

Shen, 2015, Plant phenological responses to climate change on the Tibetan plateau: research status and challenges, Natl. Sci. Rev., 4, 78

Shen, 2015, Plant phenological responses to climate change on the Tibetan plateau: research status and challenges, Natl. Sci. Rev., 2, 454, 10.1093/nsr/nwv058

Shen, 2015, Evaporative cooling over the Tibetan plateau induced by vegetation growth, Proc. Natl. Acad. Sci. U. S. A., 112, 9299, 10.1073/pnas.1504418112

Shen, 2016, Strong impacts of daily minimum temperature on the green-up date and summer greenness of the Tibetan plateau, Glob. Chang. Biol., 22, 3057, 10.1111/gcb.13301

Shevliakova, 2013, Historical warming reduced due to enhanced land carbon uptake, Proc. Natl. Acad. Sci. U. S. A., 110, 16730, 10.1073/pnas.1314047110

Spracklen, 2012, Observations of increased tropical rainfall preceded by air passage over forests, Nature, 489, 282, 10.1038/nature11390

Sugihara, 2012, Detecting causality in complex ecosystems, Science, 338, 496, 10.1126/science.1227079

Sun, 2020, Spatio-temporal variations and coupling of human activity intensity and ecosystem services based on the four-quadrant model on the Qinghai-Tibet plateau, Sci. Total Environ., 743, 140721, 10.1016/j.scitotenv.2020.140721

Teuling, 2017, Observational evidence for cloud cover enhancement over western European forests, Nat. Commun., 8, 14065, 10.1038/ncomms14065

Tuttle, 2016, Empirical evidence of contrasting soil moisture–precipitation feedbacks across the United States, Science, 352, 825, 10.1126/science.aaa7185

Wang, 2016, Aeolian processes and their effect on sandy desertification of the Qinghai–Tibet plateau: a wind tunnel experiment, Soil Tillage Res., 158, 67, 10.1016/j.still.2015.12.004

Wang, 2016, The role of permafrost and soil water in distribution of alpine grassland and its NDVI dynamics on the Qinghai-Tibetan plateau, Glob. Planet. Chang., 147, 40, 10.1016/j.gloplacha.2016.10.014

Wen, 2019, Cumulative effects of climatic factors on terrestrial vegetation growth, J. Geophys. Res. Biogeosci., 124, 789, 10.1029/2018JG004751

Wischnewski, 2011, Terrestrial and aquatic responses to climate change and human impact on the southeastern Tibetan plateau during the past two centuries, Glob. Chang. Biol., 17, 3376, 10.1111/j.1365-2486.2011.02474.x

Wu, 2003, Delineation of eco-geographic regional system of China, J. Geogr., 13, 309

Wu, 2015, Time-lag effects of global vegetation responses to climate change, Glob. Chang. Biol., 21, 3520, 10.1111/gcb.12945

Wu, 2016, Mixed artificial grasslands with more roots improved mine soil infiltration capacity, J. Hydrol., 535, 54, 10.1016/j.jhydrol.2016.01.059

Xie, 2019, Detecting hotspots of interactions between vegetation greenness and terrestrial water storage using satellite observations, Remote Sens. Environ., 231, 111259, 10.1016/j.rse.2019.111259

Xiong, 2019, Monitoring the impact of climate change and human activities on grassland vegetation dynamics in the northeastern Qinghai-Tibet plateau of China during 2000–2015. J, Arid Land, 11, 637, 10.1007/s40333-019-0061-2

Yang, 2014, GRACE satellite observed hydrological controls on interannual and seasonal variability in surface greenness over mainland Australia, J. Geophys. Res. Biogeosci., 119, 2245, 10.1002/2014JG002670

Yu, 2020, Impact of recent vegetation greening on temperature and precipitation over China, Agric. For. Meteorol., 295, 108197, 10.1016/j.agrformet.2020.108197

Zeng, 2017, Climate mitigation from vegetation biophysical feedbacks during the past three decades, Nat. Clim. Chang., 7, 432, 10.1038/nclimate3299

Zeng, 2018, Impact of earth greening on the terrestrial water cycle, J. Clim., 31, 2633, 10.1175/JCLI-D-17-0236.1

Zhang, 2018, Vegetation phenology on the Qinghai-Tibetan plateau and its response to climate change (1982–2013), Agric. For. Meteorol., 248, 408, 10.1016/j.agrformet.2017.10.026

Zhu, 2016, Greening of the earth and its drivers, Nat. Clim. Chang., 6, 791, 10.1038/nclimate3004

Zimmermann, 2010, New trends in species distribution modelling, Ecography, 33, 985, 10.1111/j.1600-0587.2010.06953.x