Skip to main content

Advertisement

Log in

Spatiotemporal analysis of trends in vegetation change across an artificial desert oasis, Northwest China, 1975–2010

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Vegetation change has become a worldwide environmental concern. Artificial desert oases in the Northwest China are among the most ecologically sensitive environments and are also a repository of ecosystem services by relying on vegetation system. Over the last four decades, land transformation related to anthropogenic activities and climate change is among the main drivers of changing vegetation cover in Northwest China. In an oasis where field-based research is challenging due to diverse landscape and heterogenous relief, quantifying changes in vegetation system using remote sensing can provide available information regarding trends in vegetation cover and its linkages with driving forces. This study aimed to explore spatiotemporal dynamics of vegetation change through examining time series normalized difference vegetation index (NDVI) over the period 1975–2010 in an artificial desert oasis in Northwest China. A time series imagery derived from Landsat product was analyzed for the presence of trends in vegetation change. Using the nonparametric Sen’s and Mann-Kendall methods, over 13.56% of oasis land surfaces were found to exhibit significant increasing trends, and almost 6.07% of oasis land surfaces were found to exhibit significant decreasing trends. The 80.38% spatial distribution of vegetation showed no change trends significantly. The relationships between the detected NDVI trends and land cover also were evaluated by using spatial mapping method. Results showed that the spatiotemporal pattern of vegetation change was consistent with the climate-related change of vegetation growing conditions and implementation of ecosystem management during the study period.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Aldakheel YY (2011) Assessing NDVI spatial pattern as related to irrigation and soil salinity management in Al-Hassa Oasis, Saudi Arabia. J Indian Soc Remote Sens 39(2):171–180

    Google Scholar 

  • Behera MD, Gupta AK, Barik SK, Das P, Panda RM (2018) Use of satellite remote sensing as a monitoring tool for land and water resources development activities in an Indian tropical site. Environ Monit Assess 190(7):401

    Google Scholar 

  • Bing L, Zhao W, Chang X et al (2010) Water requirements and stability of oasis ecosystem in arid region, China. Environ Earth Sci 59(6):1235–1244

    Google Scholar 

  • Bohovic R, Dobrovolny P, Klein D (2016) The spatial and temporal dynamics of remotely-sensed vegetation phenology in Central Asia in the 1982-2011. Period Eur J Remote Sens 49:279–299

  • Brunsdon C, Fotheringham S, Charlton M (1998) Geographically weighted regression-modelling spatial non-stationarity. J R Stat Soc 47(3):431–443

    Google Scholar 

  • Chen Y, Li Z, Fan Y, Wang H, Deng H (2015) Progress and prospects of climate change impacts on hydrology in the arid region of Northwest China. Environ Res 139:11–19

    Google Scholar 

  • Chen YN, Pang ZH, Chen YP, Li W, Xu C, Hao X, Huang X, Huang T, Ye Z (2008) Response of riparian vegetation to water-table changes in the lower reaches of Tarim River, Xinjiang Uygur, China. Hydrogeol J 16:1371–1379

    Google Scholar 

  • Compton JT, Jorge EP, Molly EB, Daniel AS, Edwin WP, Robert M, Eric FV, Nazmi ES (2005) An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Int J Remote Sens 26(20):4485–4498

    Google Scholar 

  • Coppin P, Jonckheere I, Nackaerts K, Muys B, Lambin E (2004) Digital change detection methods in ecosystem monitoring: a review. International of thematic mapper data - the TM tasselled cap. IEEE Trans Geosci Remote Sens 25:1565–1596

    Google Scholar 

  • Cui YP, Liu JY, Hu YF, Kuang WH, Xie ZL (2012) An analysis of temporal evolution of ndvi in various vegetation-climate regions in Inner Mongolia, China. Procedia Environ Sci 13:1989–1996

    Google Scholar 

  • Eastman JR, Sangermano F, Ghimire B, Zhu H, Chen H, Neeti N, Cai Y, Machado EA, Crema SC (2009) Seasonal trend analysis of image time series. Int J Remote Sens 30:2721–2726

    Google Scholar 

  • Dubovyk O, Landmann T, Erasmus BFN, Tewes A, Schellberg J (2015) Monitoring vegetation dynamics with medium resolution modis-evi time series at sub-regional scale in southern Africa. Int J Appl Earth Obs Geoinf 38:175–183

    Google Scholar 

  • Eckert S, Hüsler F, Liniger H (2015) Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia. J Arid Environ 113(2):16–28

    Google Scholar 

  • Frazier RJ, Coops NC, Wulder MA, Hermosilla T, White JC (2018) Analyzing spatial and temporal variability in short-term rates of post-fire vegetation return from Landsat time series. Remote Sens Environ 205:32–45

    Google Scholar 

  • Feng Q, Cheng GD (2001) Towards sustainable development of the environmentally degraded River Heihe Basin, China. Hydrol Sci J 46:647–658

    Google Scholar 

  • Fensholt R, Proud SR (2012) Evaluation of earth observation based global long term vegetation trends — comparing GIMMS and MODIS global NDVI time series. Remote Sens Environ 119:131–147

    Google Scholar 

  • Fotheringham S, Charlton ME, Brunsdon C (2001) Spatial variations in school performance: a local analysis using geographically weighted regression. Geogr Environ Model 5:43–66

    Google Scholar 

  • Guan Q, Yang L, Guan W, Wang F, Liu Z, Xu C (2018) Assessing vegetation response to climatic variations and human activities: spatiotemporal NDVI variations in the Hexi Corridor and surrounding areas from 2000 to 2010. Theor Appl Climatol 135:1179–1193

  • Hou X, Wu T, Yu L, Qian S (2012) Characteristics of multi-temporal scale variation of vegetation coverage in the circum bohai bay region, 1999–2009. Acta Ecol Sin 32(6):297–304

    Google Scholar 

  • Huete AR, Li HQ, Batchily K, Van Leeuwen W (1997) A comparison of vegetation indices of global set of TM images for EOS-MODIS. Remote Sens Environ 59:440–451

    Google Scholar 

  • Huo Z, Dai X, Feng S, Kang S, Huang G (2013) Effect of climate change on reference evapotranspiration and aridity index in arid region of China. J Hydrol 492(492):24–34

    Google Scholar 

  • Jarchow CJ, Didan K, Barreto-Muñoz A, Nagler PL, Glenn EP (2018) Application and comparison of the MODIS-derived enhanced vegetation index to VIIRS, Landsat 5 TM and Landsat 8 OLI platforms: a case study in the arid Colorado River Delta, Mexico. Sensors 18(5):1546

    Google Scholar 

  • Jin J, Wang Y, Jiang H, Cheng M (2016) Recent NDVI-based variation in growth of boreal intact forest landscapes and its correlation with climatic variables. Sustainability 8(4):326

    Google Scholar 

  • Jönsson P, Cai Z, Melaas E, Friedl MA, Eklundh L (2018) A method for robust estimation of vegetation seasonality from Landsat and Sentinel-2 time series data. Remote Sens 10(4):635

    Google Scholar 

  • Karnieli A, Agam N, Pinker RT, Anderson M, Imhoff ML, Gutman GG (2010) Use of NDVI and land surface temperature for drought assessment: merits and limitations. J Clim 23:618–633

    Google Scholar 

  • Kendall MG (1975) Rank correlation methods. Griffin, London

    Google Scholar 

  • Ling H, Xu H, Fu J, Fan Z, Xu X (2013) Suitable oasis scale in a typical continental river basin in an arid region of China: a case study of the Manas River basin. Quat Int 286(430):116–125

    Google Scholar 

  • Li X, Li XW, Li ZY, Ma MG, Wang J, Xiao Q et al (2012) Watershed allied telemetry experimental research. J Geophys Res-Atmos 114(19):2191–2196

    Google Scholar 

  • Li Z, Chen Y, Li W, Deng H, Fang G (2015) Potential impacts of climate change on vegetation dynamics in Central Asia. J Geophys Res-Atmos 120:2045–2057

    Google Scholar 

  • Li Z, Huffman T, Mcconkey B, Townley-Smith L (2013) Monitoring and modeling spatial and temporal patterns of grassland dynamics using time-series MODIS NDVI with climate and stocking data. Remote Sens Environ 138(6):232–244

    Google Scholar 

  • Liang Y, Liu L (2017) An integrated ecosystem service assessment in an artificial desert oasis of northwestern China. J Land Use Sci 12(2–3):154–167

    Google Scholar 

  • Liang Y, Liu L, Huang J (2017) Integrating the SD-CLUE-S and InVEST models into assessment of oasis carbon storage in northwestern China. PLoS One 12(2):e0172494

    Google Scholar 

  • Liang YJ, Liu LJ (2014) Modelling urban growth in the middle basin of the Heihe River, Northwest China. Landsc Ecol 29(10):1725–1739

    Google Scholar 

  • Lioubimtseva E (2014) A multi-scale assessment of human vulnerability to climate change in the Aral Sea basin. Environ Earth Sci 73:719–729

    Google Scholar 

  • Lioubimtseva E (2004) Climate change in arid environments: revisiting the past to understand the future. Prog Phys Geogr 28:502–530

    Google Scholar 

  • Liu B, Zhao W, Wen Z, Zhang Z (2013) Response of water and energy exchange to the environmental variable in a desert-oasis wetland of Northwest China. Hydrol Process 28(25):6098–6112

    Google Scholar 

  • Ma MG, Veroustraete F (2006) Reconstructing pathfinder AVHRR land NDVI time-series data for the northwest of China. Adv Space Res 37(4):835–840

    Google Scholar 

  • Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259

    Google Scholar 

  • Moharram SH, Gad MI, Saafan TA, Allah SK (2012) Optimal groundwater management using genetic algorithm in El-Farafra oasis, Western Desert, Egypt. Water Resour Manag 26(4):927–948

    Google Scholar 

  • Muriithi FK, Yu D, Robila S (2016) Vegetation response to intensive commercial horticulture and environmental changes within watersheds in central highlands, Kenya, using AVHRR NDVI data. GISci Remote Sens 53(1):1–21

    Google Scholar 

  • Neel MC, Mcgarigal K, Cushman SA (2004) Behavior of class-level landscape metrics across gradients of class aggregation and area. Landsc Ecol 19(4):435–455

    Google Scholar 

  • O'Neill RV, Krummel JR, Gardner RH (1988) Indices of landscape pattern. Landsc Ecol 1(3):153–162

    Google Scholar 

  • Prince SD, Becker-Reshef I, Rishmawi K (2009) Detection and mapping of long-term land degradation using local net production scaling: application to Zimbabwe. Remote Sens Environ 113(5):1046–1057

    Google Scholar 

  • Propastin PA, Kappas M, Muratova NR (2008) A remote sensing based monitoring system for discrimination between climate and human-induced vegetation change in Central Asia. Manag Environ Quality 19:579–596

    Google Scholar 

  • Ran YH, Li X, Lu L, Li ZY (2012) Large-scale land cover mapping with the integration of multi-source information based on the Dempster–Shafer theory. Int J Geogr Inf Sci 26(1):169–191

    Google Scholar 

  • Reynolds JF, Smith DMS, Lambin EF, Turner BL II, Mortimore M, Batterbury SPJ (2007) Global desertification: building a science for dryland development. Science 316:847–851

    Google Scholar 

  • Sen PK (2010) Estimates of the regression coefficient based on Kendall's tau. J Am Stat Assoc 63(324):1379–1389

    Google Scholar 

  • Sicard P, Dalstein-Richier L, Vas N (2011) Annual and seasonal trends of ambient ozone concentration and its impact on forest vegetation in mercantour national park (South-Eastern France) over the 2000-2008 period. Environ Pollut 159(2):351–362

    Google Scholar 

  • Silleos NG, Alexandridis TK, Gitas IZ, Perakis K (2006) Vegetation indices: advances made in biomass estimation and vegetation monitoring in the last 30 years. Geocarto Int 21:21–28

    Google Scholar 

  • Su YZ, Zhao WZ, Su PX, Zhang ZH, Wang T, Ram R (2007) Ecological effects of desertification control and desertified land reclamation in an oasis-desert ecotone in an arid region: a case study in Hexi corridor, Northwest China. Ecol Eng 29(2):117–124

    Google Scholar 

  • Tao H, Li M, Wang M, Lü G (2019) Genetic algorithm-based method for forest type classification using multi-temporal NDVI from Landsat TM imagery. Ann GIS 25(1):33–43

    Google Scholar 

  • Tao Y, Wu GL, Zhang YM (2017) Dune-scale distribution pattern of herbaceous plants and their relationship with environmental factors in a saline–alkali desert in Central Asia. Sci Total Environ 576:473–480

    Google Scholar 

  • Tasser E, Leitinger G, Tappeiner U (2017) Climate change versus land-use change—what affects the mountain landscapes more. Land Use Policy 60:60–72

    Google Scholar 

  • Turner M (1993) Overstocking the range: a critical analysis of the environmental science of Sahelian pastoralism. Econ Geogr 69(4):402–421

    Google Scholar 

  • Verbesselt J, Hyndman R, Newnham G, Culvenor D (2010) Detecting trend and seasonal changes in satellite image time series. Remote Sens Environ 114:106–115

    Google Scholar 

  • Zeng B, Yang TB (2008) Impacts of climate warming on vegetation in Qaidam area from 1990 to 2003. Environ Monit Assess 144:403–417

    Google Scholar 

  • Zhang YL, Qi W, Zhou CP, Ding M, Liu L, Gao J, Bai W, Wang Z, Zheng D (2014) Spatial and temporal variability in the net primary production of alpine grassland on the Tibetan plateau since 1982. J Geogr Sci 24:269–287

    Google Scholar 

  • Zhao WZ, Liu B, Zhang ZH (2010) Water requirements of maize in the middle Heihe River basin, China. Agric Water Manag 97(2):215–223

    Google Scholar 

  • Zhou X, Yamaguchi Y, Arjasakusuma S (2018) Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: a cross-border study on the Mongolian plateau. Sci Total Environ 616:730–743

    Google Scholar 

Download references

Acknowledgments

We thank Prof. Zhao and anonymous reviewers for their invaluable comments and suggestions to improve this paper.

Funding

This research was supported by the National Natural Science Foundation of China (41601184) and the Fundamental Research Funds for the Central Universities (WUT: 2017IVB016).

Author information

Authors and Affiliations

Authors

Contributions

Y. Liang and L. Liu conceived and designed the experiments; Y. Liang performed the experiments; Y. Liang and L. Liu analyzed the data; Y. Liang contributed analysis tools; Y. Liang, L. Liu, and S. Hashimoto wrote the paper and revised the paper.

Corresponding author

Correspondence to Youjia Liang.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Responsible Editor: Amjad Kallel

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liang, Y., Liu, L. & Hashimoto, S. Spatiotemporal analysis of trends in vegetation change across an artificial desert oasis, Northwest China, 1975–2010. Arab J Geosci 13, 742 (2020). https://doi.org/10.1007/s12517-020-05707-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-020-05707-x

Keywords

Navigation