Abstract
The Chinese government’s program of reverting agriculture to forests and grasslands has largely been responsible for the phenomenon of the Loess Plateau becoming green, which has attracted the attention of the international academic community. To identify the reasons for the Loess Plateau’s greening scientifically and precisely, it is essential to comprehend the relationship between the natural vegetation covering index and precipitation change. The relationship between NDVI indicators and precipitation in the non-reforestation (grass) area of the Loess Plateau was investigated using statistical techniques like detrended partial cross-correlation analysis and observation data of daily precipitation and pan evaporation in the Loess Plateau from 1982 to 2015. Also looked at are the results of this co-evolution of space and time. The results demonstrate that during the process of becoming greener, the NDVI index in the non-reforestation (grass) portion of the Loess Plateau showed a significant rising trend. The most noticeable shift happened in the hilly and gully areas. The yearly precipitation data often displayed a fluctuating, increasing tendency. It was discovered to have a strong long-range correlation with the NDVI data. The positive partial correlation area accounted for about 76% of the total area of the Loess Plateau. There is regional variation in the effect of different magnitudes of precipitation changes on the NDVI in the non-reforestation (grass) regions of the Loess Plateau, and 30–50 mm precipitation increases are the key to the greatly increased natural NDVI in these places. Thus, it is determined that precipitation variations have a significant impact on the greening of the Loess Plateau, particularly in non-reforestation (grass) areas.
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Bai S, Wang Y, Ma J, Wang X, Zhou Y (2016) Experimental study on rainfall infiltration in semiarid region of the Loess Plateau. Agric Res Arid Areas 34(2):218-223&231. https://doi.org/10.7606/j.issn.1000-7601.2016.02.35
Berihun ML, Tsunekawa A, Haregeweyn N, Meshesha DT, Adgo E, Tsubo M, Masunaga T, Fenta AA, Sultan D, Yibeltal M, Ebabu K (2019) Hydrological responses to land use/land cover change and climate variability in contrasting agro-ecological environments of the Upper Blue Nile basin, Ethiopia. Sci Total Environ 689:347–365. https://doi.org/10.1016/j.scitotenv.2019.06.338
Eagleson PS (2002) Ecohydrology: Darwinian expression of vegetation form and function. Cambridge University Press, Cambridge
Gao Y, Sun H, Xu Y, Zhang S (2022) Temporal and spatial variation of vegetation cover and its response to extreme climate in Shaanxi Province. Acta Ecol Sin 42(3):1022–1033. https://doi.org/10.5846/stxb202101090097
Ge X, Lin A (2021) Multiscale multifractal detrended partial cross-correlation analysis of Chinese and American stock markets. Chaos Solitons Fract 145:110731. https://doi.org/10.1016/j.chaos.2021.110731
Liang W, Fu B, Wang S, Zhang W, Jin Z, Feng X et al (2019) Quantification of the ecosystem carrying capacity on China’s Loess Plateau. Ecol Indic 101:192–202. https://doi.org/10.1016/j.ecolind.2019.01.020
Ougahi JH, Cutler EJM, Cook SJ (2022) Assessment of climate change effects on vegetation and river hydrology in a semi-arid river basin. PLoS ONE 17(8):e0271991. https://doi.org/10.1371/journal.pone.0271991
Pal M, Manimaran P (2019) Multifractal detrended partial cross-correlation analysis on Asian markets. Phys A Stat Mech Appl 531:121778. https://doi.org/10.1016/j.physa.2019.121778
Peng CK, Buldyrev SV, Havlin S, Simons M, Stanley HE, Goldberger AL (1994) Mosaic organization of DNA nucleotides. Phys Rev E 49(2):1685–1689. https://doi.org/10.1103/physreve.49.1685
Peng C, Havlin S, Stanley HE, Goldberger AL (1995) Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos Interdiscip J Nonlinear Sci 5(1):82–87. https://doi.org/10.1063/1.166141
Podobnik B, Stanley HE (2008) Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series. Phys Rev Lett 100(8):084102. https://doi.org/10.1103/physrevlett.100.084102
Qian XY, Liu YM, Jiang ZQ, Podobnik B, Zhou WX, Stanley HE (2015) Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces. Phys Rev E 91(6):062816. https://doi.org/10.1103/physreve.91.062816
Song Y, Wang Y, Jin L, Shi W, Aryal J, Comber A (2022) Quantitative contribution of the Grain for Green Program to vegetation greening and its spatiotemporal variation across the Chinese Loess Plateau. Land Degrad Dev 33(11):1878–1891. https://doi.org/10.1002/ldr.4269
Troch PA, Martinez GF, Pauwels VRN, Durcik M, Sivapalan M, Harman C, Brooks PD, Gupta H, Huxman T (2009) Climate and vegetation water use efficiency at catchment scales. Hydrol Process 23(16):2409–2414. https://doi.org/10.1002/hyp.7358
Wang T, Kou X, Xiong Y, Mou P, Wu J, Ge J (2010) Temporal and spatial patterns of NDVI and their relationship to precipitation in the Loess Plateau of China. Int J Remote Sens 31(7):1943–1958. https://doi.org/10.1080/01431160902929263
Wei X, Zhang H, Gong X, Wei X, Dang C, Zhi T (2020) Intrinsic cross-correlation analysis of hydro-meteorological data in the Loess Plateau, China. Int J Environ Res Public Health 17(7):2410. https://doi.org/10.3390/ijerph17072410
Wu Y, Zhang H, Lan T, Wei X, Shao S, Zhang J, Ding H (2022) Attribution of runoff variation to climate and human-driven changes in the transition zone between the Qinling Mountains and the Loess Plateau under vegetation greening. Hydrol Res 53(5):733–753. https://doi.org/10.2166/nh.2022.136
Xu N, Shang P, Kamae S (2010) Modeling traffic flow correlation using DFA and DCCA. Nonlinear Dyn 61(1–2):207–216. https://doi.org/10.1007/s11071-009-9642-5
Xue L, Chen F, Guo S, Fu G, Li T, Yang Y (2019) Time varying correlation structure of Chinese stock market of crude oil related companies greatly influenced by external factors. Phys A 530:121086. https://doi.org/10.1016/j.physa.2019.121086
Yang Y, Donohue RJ, McVicar TR, Roderick ML (2015) An analytical model for relating global terrestrial carbon assimilation with climate and surface conditions using a rate limitation framework. Geophys Res Lett 42(22):9825–9835. https://doi.org/10.1002/2015gl066835
Yu L, Liu Y, Liu T, Yan F (2020) Impact of recent vegetation greening on temperature and precipitation over China. Agric Meteorol 295:108197. https://doi.org/10.1016/j.agrformet.2020.108197
Zhang B, Wu P, Zhao X, Wang Y, Gao X (2012) Changes in vegetation condition in areas with different gradients (1980–2010) on the Loess Plateau, China. Environ Earth Sci 68(8):2427–2438. https://doi.org/10.1007/s12665-012-1927-1
Zhang X, Lin P, Chen H, Yan R, Zhang J, Yu Y, Liu E, Yang Y, Zhao W, Lv D, Lei S, Liu B, Yang X, Li Z (2018) Understanding land use and cover change impacts on run-off and sediment load at flood events on the Loess Plateau, China. Hydrol Process 32(4):576–589. https://doi.org/10.1002/hyp.11444
Zhang S, Zhang H, Li J, Li J (2019) AGCT: a hybrid model for identifying abrupt and gradual change in hydrological time series. Environ Earth Sci 78(15):433. https://doi.org/10.1007/s12665-019-8453-3
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This article was funded by National Natural Science Foundation of China (Grant no. 52379003), Natural Science Basic Research Program of Shaanxi Province (Grant no. 2022JC-LHJJ-03), Special Fund for Basic Research Funds of Central Universities (Grant no. 300102293201).
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Zhang, Sq., Wang, Yw., Zhang, Hb. et al. Investigating the Loess Plateau’s coevolution of precipitation and natural vegetation cover. Environ Earth Sci 83, 178 (2024). https://doi.org/10.1007/s12665-024-11491-8
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DOI: https://doi.org/10.1007/s12665-024-11491-8