Abstract
Vegetation plays an important role in the energy exchange, water cycle, carbon cycle, biogeochemical cycle, and maintenance of surface ecosystems. In recent years, regional vegetation cover has changed significantly. This study used statistical analyses, including the Mann-Kendall trend test, the Hurst exponent, and Pettitt test, to analyze the characteristics of temporal and spatial variation of vegetation coverage in the Xijiang River basin from 2000 to 2013. The results showed that vegetation coverage of 98.76% of the Xijiang River basin is weakly variable (Cv < 0.1). The area with significantly increased vegetation accounts for 43.45% of the total area (p < = 0.05). A total of 19.47% of vegetation coverage in the Xijiang River basin had significant change-points from 2004 to 2008 (p < = 0.05), and the area of concave change-points accounted for 25.99% of the total area of point increased the vegetation coverage. At an altitude of 500–2000 m, the altitude has an inhibitory effect on vegetation coverage. When the slope is less than 35 degrees, the slope has a promoting effect on vegetation coverage. Rich precipitation resources are the main source of soil water supply, and higher temperature provides better thermal energy resources, which may have a significant impact on vegetation growth in the future and cause time lag effects of climatic factors on vegetation coverage. The vegetation coverage and the area affected by the precipitation and temperature (time lag factors) accounted for 32.99% and 31.47% of the total watershed, respectively. The correlation between climatic factors, topographic factors, and vegetation coverage increased over time. The results from this study will help to further deepen the understanding of vegetation cover and its influencing factors, and provide a scientific basis for ecological restoration projects such as vegetation restoration in the Xijiang River basin of China.
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References
Bai Z, Dent D (2009) Recent land degradation and improvement in China. AMBIO: J Hum Environ 38:150–156. https://doi.org/10.1579/0044-7447-38.3.150
Braswell BH, Schimel DS, Linder E (1997) The response of global terrestrial ecosystems to interannual temperature variability. Science 278(5339):870–872. https://doi.org/10.1126/science.278.5339.870
Chen JM, Zhao P, Liu HL et al (2009) Modeling impacts of vegetation in western China on the summer climate of northwestern China. Adv Atmos Sci 26(4):803e812–803e812. https://doi.org/10.1007/s00376-009-9018-2
Dobrowski SZ (2011) A climatic basis for microrefugia: the influence of terrain on climate. Glob Chang Biol 17:1022–1035 https://doi.org/10.1111/j.1365-2486.2010.02263.x
Du JQ, Shu JM, Yin JQ et al (2015) Analysis on spatio-temporal trends and drivers in vegetation growth during recent decades in Xinjiang. China Int J Appl Earth Obs Geoinf 38(7):216–228. https://doi.org/10.1016/j.jag.2015.01.006
Duan C, Wu L, He LY et al (2016) Spatio-temporal distribution pattern of vegetation coverage in Junggar Basin. Xinjiang Acta Ecol Sinica 36(2):72–76. https://doi.org/10.1016/j.chnaes.2016.01.003
Esser G (1987) Sensitivity of global carbon pools and fluxes to human and potential climatic impacts. Tellus B 39:245–260. https://doi.org/10.1111/j.1600-0889.1987.tb00097.x
Fang SF, Yan JW, Che ML et al (2013) Climate change and the ecological responses in Xinjiang, China: model simulations and data analyses. Quat Int 311:108–116. https://doi.org/10.1016/j.quaint.2013.08.032
Fensholt R, Langanke T, Rasmussen K et al (2012) Greenness in semi-arid areas across the globe 1981–2007 – an earth observing satellite based analysis of trends and drivers. Remote Sens Environ 121:144–158. https://doi.org/10.1016/j.rse.2012.01.017
Franklin J (1995) Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Progress PhysGeogr 19:474–499 https://doi.org/10.1177/030913339501900403
Fu BJ, Liu SL, Ma KM et al (2004) Relationships between soil characteristic, topography and plant diversity in a heterogeneous deciduous broad-leaved forest near Beijing, China. Plant Soil 261:47–54. https://doi.org/10.1023/b:plso.0000035567.97093.48
Fu BJ, Wang YF, Lu YH et al (2009) The effects of land use combinations on soil erosion: a case study in the Loess Plateau of China. Prog Phys Geogr 33:793–804. https://doi.org/10.1177/0309133309350264
Fu BJ, Li SG, Yu XB et al (2010) Chinese ecosystem research network: progress and perspectives. Ecol Complexity 7:225–233. https://doi.org/10.1016/j.ecocom.2010.02.007
Fu BJ, Wang S, Liu Y et al (2017) Hydrogeomorphic ecosystem responses to natural and anthropogenic changes in the Loess Plateau of China. Annu Rev Earth Planet Sci 45(1):223–243. https://doi.org/10.1146/annurev-earth-063016-020552
Gang W, Congbin F (2000) Large scale features of the seasonal phenological responses to the monsoon climate in East China: multi-year average results. Chinese Journal of Atmospheric Science 24(5):676–682 CNKI:SUN:DQXK.0.2000–05-013(in chinese)
Haberl H (1997) Human appropriation of net primary production as an environmental indicator: implications for sustainable development. Ambio 26:143–146. https://doi.org/10.1111/j.1467-8683.2008.00709.x
Hermance JF, Augustine DJ, Derner JD (2015) Quantifying characteristic growth dynamics in a semi-arid grassland ecosystem by predicting short-term NDVI phenology from daily rainfall: a simple four parameter coupled-reservoir model. Int J Rem Sens 36:5637–5663. https://doi.org/10.1080/01431161.2015.1103916
IPCC (2007) Climate change 2007. Cambridge University Press, Cambridge, UK, The Physical Science Basis
Jiang L, Jiapaer G, Bao A et al (2017) Vegetation dynamics and responses to climate change and human activities in Central Asia. Sci Total Environ 599–600:967. https://doi.org/10.1016/j.scitotenv.2017.05.012
Kendall MG (1955) Rank correlation methods. Griffin, London
Lin Q, Wu Z, Singh VP (2017) Correlation between hydrological drought, climatic factors, reservoir operation, and vegetation cover in the Xijiang Basin, South China. J Hydrol 549:512–524. https://doi.org/10.1016/j.jhydrol.2017.04.020
Liu WB, Cai TJ, Ju CY et al (2011) Assessing vegetation dynamics and their relationships with climatic variability in Heilongjiang province, Northeast China. Environ Earth Sci 64:2013e2024–2013e2024. https://doi.org/10.1007/s12665-011-1021-0
Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259. https://doi.org/10.2307/1907187
Mitchell JM, Dzerdzeevskii B, Flohn H (1966) Climate change, WHO technical note 79. World Meteorological Organization, Geneva, p 79
Moore ID, Grayson RB, Ladson AR (1991) Digital terrain modeling – a review of hydrological, geomorphological, and biological applications. Hydrol. Processes 5:3–30. https://doi.org/10.1002/hyp.3360050103
Moreno-de las Heras M, Diaz-Sierra R, Turnbull L et al (2015) Assessing vegetation structure and ANPP dynamics in a grassland-shrubland Chihuahuan ecotone using NDVI-rainfall relationships. Biogeosciences 12:2907–2925. https://doi.org/10.5194/bg-12-2907-2015
Murray SJ, Watson IM, Prentice IC (2013) The use of dynamic global vegetation models for simulating hydrology and the potential integration of satellite observations. Prog Phys Geogr 37:63–97. https://doi.org/10.1177/0309133312460072
Neigh CSR, Tucker CJ, Townshend JRG (2008) North American vegetation dynamics observed with multi-resolution satellite data. Remote Sens Environ 112:1749e1772. https://doi.org/10.1016/j.rse.2007.08.018
Nielsen DR, Bouma J (1985) Soil Spatial Variability. Wageningen, PUDOC, pp 2–30. https://doi.org/10.1016/0016-7061(86)90074-1
Peng J, Liu ZH, Liu YH et al (2012) Trend analysis of vegetation dynamics in Qinghai-Tibet Plateau using Hurst exponent. Ecol Indic 14(1):28–39. https://doi.org/10.1016/j.ecolind.2011.08.011
Peng S, Zhang Y, Ren Z, Yu Y, Li P, Gong J (2019a) Land-use changes and check dams reducing runoff and sediment yield on the Loess Plateau of China. Sci Total Environ 664:984–994. https://doi.org/10.1016/j.scitotenv.2019.01.430
Peng S, Zhang Y, Zhang Y et al (2019b) Land-use types and slope topography affect the soil labile carbon fractions in the Loess hilly-gully area of Shaanxi. China Archives of Agronomy and Soil Science:1–13. https://doi.org/10.1080/03650340.2019.1630824
Pettitt AN (1979) A non-parametric approach to the change-point problem. Appl Stat 28(2):126–135. https://doi.org/10.2307/2346729
Piao SL, Anwar M, Fang JY et al (2006) NDVI–based increase in growth of temperate grasslands and its responses to climate changes in China. Glob Environ Change 16(4):340–348. https://doi.org/10.1016/j.gloenvcha.2006.02.002
Propastin PA, Kappas M, Muratova NR (2008) Inter–annual changes in vegetation activities and their relationship to temperature and precipitation in Central Asia from 1982 to 2003. J Environ Inform 12(2):75–87. https://doi.org/10.3808/jei.200800126
Rao AR, Bhattacharya D (2014) Comparison of Hurst exponent estimates in hydrometeorological time series. J. Hydrol. Eng 4(3):225–231. https://doi.org/10.1061/(asce)1084-0699(1999)4:3(225)
Reed BC, Schwartz MD, Xiao X (2009) Remote sensing phenology: status and the way forward. In: Noormets A (ed) Phenology of ecosystem processes. Springer, New York, pp 231–246. https://doi.org/10.1007/978-1-4419-0026-5_10
Riihim KH, Heiskanen J, Luoto M (2017) The effect of topography on arctic-alpine aboveground biomass and NDVI patterns. Int J Appl Earth Obs Geoinf 56:44–53. https://doi.org/10.1016/j.jag.2016.11.005
Sun HG, Wang CY, Niu Z et al (1998) Analysis of the vegetation cover change and the relationship between NDVI and environment factors by using NOAA time series data. J. Remote Sens 2(3):204–210. https://doi.org/10.1088/0256-307X/15/12/025 (in chinese)
Suzuki R, Masuda K, Dye DG (2007) Interannual covariability between actual evapotranspiration and PAL and GIMMS NDVIs of northern Asia. Remote Sens Environ 106:387–398. https://doi.org/10.1016/j.rse.2006.10.016
Walther GR, Post E, Convey P, Menzel A, Parmesan C, Beebee TJ, Fromentin JM, Hoegh-Guldberg O, Bairlein F (2002) Ecological responses to recent climate change. Nature 416(6879):389–395. https://doi.org/10.1038/416389a
Wan JZ, Wang CJ, Qu H et al (2017) Vulnerability of forest vegetation to anthropogenic climate change in China. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2017.10.065
Wang J, Rich PM, Price KP (2003) Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. Int J Remote Sens 24(11):2345–2364. https://doi.org/10.1080/01431160210154812
Wang GX, Bai W, Li N et al (2011) Climate changes and its impact on tundra ecosystem in Qinghai-Tibet Plateau. China Clim Change 106:463–482. https://doi.org/10.1007/s10584-010-9952-0
Wang HL, Chen AF, Wang QF et al (2015) Drought dynamics and impacts on vegetation in China from 1982 to 2011. Ecol Eng 75:303–307. https://doi.org/10.1016/j.ecoleng.2014.11.063
Wang ZQ, Zhang YZ, Yang Y et al (2016) Quantitative assess the driving forces on the grassland degradation in the Qinghai-Tibet Plateau, in China. Ecol Inf 33:32–44. https://doi.org/10.1016/j.ecoinf.2016.03.006
Wang B, Xu GC, Li P et al (2020) Vegetation dynamics and their relationships with climatic factors in the Qinling Mountains of China. Ecol Indic 108(2020):105719. https://doi.org/10.1016/j.ecolind.2019.105719
Xin ZB, Xu JX, Zheng W (2007) The influences of climate change and human activities on vegetation cover change in Loess Plateau. Sci. China Ser. D Earth Sci 37(11):1504–1514 http://www.scichina.com(in chinese)
Xu G, Cheng S, Li P et al (2018) Soil total nitrogen sources on dammed farmland under the condition of ecological construction in a small watershed on the loess plateau, China. Ecol Eng 121:19–25. https://doi.org/10.1016/j.ecoleng.2017.09.005
Zhang BQ, Wu PT, Zhao XN et al (2014) Assessing the spatial and temporal variation of the rainwater harvesting potential (1971–2010) on the Chinese Loess Plateau using the VIC model. Hydrol Process 28(3):534–544. https://doi.org/10.1002/hyp.9608
Zhang Y, Zhang CB, Wang ZY et al (2016) Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region, China from 1982 to 2012. Sci Total Environ 563–564:210–220. https://doi.org/10.1016/j.scitotenv.2016.03.223
Zhang CL, Li Q, Shen YP et al (2017) Monitoring of aeolian desertification on the Qinghai-Tibet Plateau from the 1970s to 2015 using Landsat images. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2017.10.137
Zhang X, Li P, Li ZB et al (2018) Effects of precipitation and different distributions of grass strips on runoff and sediment in the loess convex hillslope. Catena 162:130–140. https://doi.org/10.1016/j.catena.2017.12.002
Zheng Y, Han J, Huang Y et al (2018) Vegetation response to climate conditions based on NDVI simulations using stepwise cluster analysis for the Three-River Headwaters region of China. Ecol Indic 92:18–29. https://doi.org/10.1016/j.ecolind.2017.06.040
Zhu YJ, Guo CQ, Huang XK (2012) Trend analysis of precipitation extreme values of Xijiang River basin. J China Hydrol 32(2):72–77. https://doi.org/10.1007/s11783-011-0280-z
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This research was supported by the National Key Research and Development Program (2016YFC0402404) and the National Natural Science Foundation of China (Grant No. 41731289 and 51779204). In addition, we thank the reviewers for their useful comments and suggestions.
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Jia, L., Li, Zb., Xu, Gc. et al. Dynamic change of vegetation and its response to climate and topographic factors in the Xijiang River basin, China. Environ Sci Pollut Res 27, 11637–11648 (2020). https://doi.org/10.1007/s11356-020-07692-w
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DOI: https://doi.org/10.1007/s11356-020-07692-w