Skip to main content

Advertisement

Log in

Characteristics of vegetation activity and its responses to climate change in desert/grassland biome transition zones in the last 30 years based on GIMMS3g

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

The vegetation in desert/grassland biome transition zones is part of a fragile ecosystem that is sensitive to climate change. Thus, in recent decades, studying vegetation activity in desert/grassland biome transition zones has become important. Here, vegetation activity and the evolutionary tendencies of the temporal and spatial differentiation of the phenology of the desert/grassland biome transition zones were analyzed based on the Normalized Difference Vegetation Index (NDVI) of the third-generation Global Inventory Modeling and Mapping Studies (GIMMS3g) dataset. Additionally, the relationship between vegetation activity and climatic factors was analyzed based on NDVI and global meteorological reanalysis data. The results showed that the vegetation phenology of desert/grassland biome transition zones exhibits sharply contrasting characteristics between the Northern and Southern hemispheres, particularly when comparing differences before and after the breakpoint in global climate change (1998). The length of the growing season (LOS) of the Northern Hemisphere was shorter after 1998 than before it, and the integral of the growing season (IOS) of the NDVI decreased correspondingly. By contrast, the LOS in the Southern Hemisphere was longer, and after 1998, the IOS of the NDVI increased compared to its previous value. The vegetation activity trend and the fluctuation of the desert/grassland biome transition zones in the last 30 years can be divided into nine combined modes. However, these features also have an obvious turning point in 1998. The effects of evapotranspiration and precipitation on vegetation activity were most obvious, and these climatic factors drove the phenology changes in the different regions. Global warming limited the vegetation activity in low-latitude areas, but promoted it in middle-latitude areas.

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.

Institutional subscriptions

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

  • Anyamba A, Small J, Tucker C, Pak E (2014) Thirty-two years of Sahelian zone growing season non-stationary NDVI3g patterns and trends. Remote Sens 6(4):3101–3122

    Article  Google Scholar 

  • Bao G, Bao Y, Sanjjava A, Qin Z, Zhou Y, Xu G (2015) NDVI-indicated long-term vegetation dynamics in Mongolia and their response to climate change at biome scale. Int J Climatol 35(14):4293–4306

    Article  Google Scholar 

  • Bao G, Bao Y, Qin Z et al (2016) Modeling net primary productivity of terrestrial ecosystems in the semi-arid climate of the Mongolian Plateau using LSWI-based CASA ecosystem model. Int J Appl Earth Obs Geoinf 46:84–93

    Article  Google Scholar 

  • Beck HE, McVicar TR, Dijk AIJM, Schellekens J, Jeu RAM, Bruijnzeel LA (2011) Global evaluation of four AVHRR–NDVI data sets: intercomparison and assessment against Landsat imagery. Remote Sens Environ 115(10):2547–2563

    Article  Google Scholar 

  • Bunn AG, Goetz SJ, Kimball JS, Zhang K (2007) Northern high-latitude ecosystems respond to climate change. Eos Trans Am Geophys Union 88(34):333–335

    Article  Google Scholar 

  • Campo-Bescós M, Muñoz-Carpena R, Southworth J, Zhu L, Waylen P, Bunting E (2013) Combined spatial and temporal effects of environmental controls on long-term monthly NDVI in the southern Africa savanna. Remote Sens 5(12):6513–6538

    Article  Google Scholar 

  • Chen M, Xie P, Janowiak JE, Arkin PA (1997) Global land precipitation: a 50-yr monthly analysis based on gauge observations. Bull Amer Meteorol Soc 78(11):2539–2558

    Article  Google Scholar 

  • Chen Y, Sun Z, Qin Z, Propastin P, Wang W, Li J, Ruan H (2017a) Modeling the regional grazing impact on vegetation carbon sequestration ability in Temperate Eurasian Steppe. J Integr Agric 16(10):2323–2336

    Article  Google Scholar 

  • Chen Y, Li J, Ju W et al (2017b) Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient. PLoS ONE 12(7):e0179875. https://doi.org/10.1371/journal.pone.0179875

    Article  Google Scholar 

  • Dee DP, Uppala SM, Simmons AJ et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137(656):553–597

    Article  Google Scholar 

  • Du L, Tian Q, Yu T, Meng Q, Jancso T, Udvardy P, Huang Y (2013) A comprehensive drought monitoring method integrating MODIS and TRMM data. Int J Appl Earth Obs Geoinf 23:245–253

    Article  Google Scholar 

  • Du L, Song N, Liu K et al (2017) Comparison of two simulation methods of the Temperature Vegetation Dryness Index (TVDI) for drought monitoring in semi-arid regions of China. Remote Sens 9(2):177. https://doi.org/10.3390/rs9020177

    Article  Google Scholar 

  • Ebita A, Kobayashi S, Ota Y et al (2011) The Japanese 55-year reanalysis “JRA-55”: an interim report. SOLA 7(1):149–152

    Article  Google Scholar 

  • Fan Y, Dool H (2008) A global monthly land surface air temperature analysis for 1948-present. J Geophys Res-Atmos 113(D1):18. https://doi.org/10.1029/2007jd008470

    Article  Google Scholar 

  • 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(2):144–158

    Article  Google Scholar 

  • Forkel M, Carvalhais N, Verbesselt J, Mahecha M, Neigh C, Reichstein M (2013) Trend change detection in NDVI time series: effects of inter-annual variability and methodology. Remote Sens 5(5):2113–2144

    Article  Google Scholar 

  • Helldén U, Tottrup C (2008) Regional desertification: a global synthesis. Glob Planet Change 64(3):169–176

    Article  Google Scholar 

  • Hochstrasser T, Kröel-Dulay G, Peters DPC, Gosz JR (2002) Vegetation and climate characteristics of arid and semi-arid grasslands in North America and their biome transition zone. J Arid Environ 51(1):55–78

    Article  Google Scholar 

  • Huang Y, Tian Q, Du L, Sun S (2013) Analysis of spatial-temporal variation of agricultural drought and its response to ENSO over the past 30 years in the Huang-Huai-Hai region. Terr Atmos Ocean Sci 24(4):745–7591

    Article  Google Scholar 

  • Jeganathan C, Dash J, Atkinson PM (2014) Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type. Remote Sens Environ 143(5):154–170

    Article  Google Scholar 

  • Jeong SJ, Chang-Hoi HO, Gim HJ, Brown ME (2011) Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008. Glob Change Biol 17(7):2385–2399

    Article  Google Scholar 

  • Jönsson P, Eklundh L (2004) TIMESAT: a program for analyzing time-series of satellite sensor data. Comput Geosci 30(8):833–845

    Article  Google Scholar 

  • Karl TR, Arguez A, Huang B et al (2015) Possible artifacts of data biases in the recent global surface warming hiatus. Science 348(6242):1469–1472

    Article  Google Scholar 

  • Kobayashi S, Ota Y, Harada Y et al (2015) The JRA-55 reanalysis: general specifications and basic characteristics. J Meteorol Soc Jpn 93(1):5–48

    Article  Google Scholar 

  • Kröel-Dulay G, Ódor P, Peters DPC, Hochstrasser T (2004) Distribution of plant species at a biome transition zone in New Mexico. J Veg Sci 15(4):531–538

    Article  Google Scholar 

  • Laloyaux P, Balmaseda M, Dee D, Mogensen K, Janssen P (2016) A coupled data assimilation system for climate reanalysis. Q J R Meteorol Soc 142(694):65–78

    Article  Google Scholar 

  • Leeuwen WJD, Hartfield K, Miranda M, Meza FJ (2013) Trends and ENSO/AAO driven variability in NDVI derived productivity and phenology alongside the Andes mountains. Remote Sens 5(3):1177–1203

    Article  Google Scholar 

  • Martínez B, Gilabert MA (2009) Vegetation dynamics from NDVI time series analysis using the wavelet transform. Remote Sens Environ 113(9):1823–1842

    Article  Google Scholar 

  • Meehl GA, Teng H, Arblaster JM (2014) Climate model simulations of the observed early-2000s hiatus of global warming. Nat Clim Chang 4:898–902

    Article  Google Scholar 

  • Myneni RB, Keeling C, Tucker C, Asrar G, Nemani R (1997) Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386(6626):698–702

    Article  Google Scholar 

  • Parry ML, Canziani OF, Palutikof JP, Linden PJ, Hanson CE (2007) Climate change 2007: impacts, adaptation and vulnerability. Cambridge University Press, Cambridge, p 976

    Google Scholar 

  • Pinzon J, Tucker C (2014) A non-stationary 1981–2012 AVHRR NDVI3g time series. Remote Sens 6(8):6929–6960

    Article  Google Scholar 

  • Qian S, Fu Y, Pan F (2010) Climate change tendency and grassland vegetation response during the growth season in Three-River Source Region. Sci China-Earth Sci 53(10):1506–1512

    Article  Google Scholar 

  • Ren J (2008) Classification and cluster applicable for grassland type. Acta Agrestia Sinica 16(1):4–10

    Google Scholar 

  • Rogier DJ, Sytze DB, Allard DW, Schaepman ME, Dent DL (2011) Analysis of monotonic greening and browning trends from global NDVI time-series. Remote Sens Environ 115(2):692–702

    Article  Google Scholar 

  • Scholze M, Knorr W, Arnell NW, Prentice IC (2006) A climate-change risk analysis for world ecosystems. Proc Natl Acad Sci U S A 103(35):13116–13120

    Article  Google Scholar 

  • Shi P, Sun S, Wang M et al (2014) Climate change regionalization in China (1961–2010). Sci China-Earth Sci 57(11):2676–2689

    Article  Google Scholar 

  • Slayback DA, Pinzon JE, Los SO, Tucker CJ (2010) Northern hemisphere photosynthetic trends 1982–99. Glob Change Biol 9(1):1–15

    Article  Google Scholar 

  • Stocker TF, Qin D, Plattner GK et al (2013) Climate change 2013: the physical science basis. Cambridge University Press, Cambridge, p 1535

    Google Scholar 

  • Tateishi R, Ebata M (2004) Analysis of phenological change patterns using 1982–2000 Advanced Very High Resolution Radiometer (AVHRR) data. Int J Remote Sens 25(12):2287–2300

    Article  Google Scholar 

  • Tchuenté ATK, Roujean JL, Jong SMD (2011) Comparison and relative quality assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP land cover data sets at the African continental scale. Int J Appl Earth Obs Geoinf 13(2):207–219

    Article  Google Scholar 

  • Trenberth KE (2015) Has there been a hiatus? Science 349(6249):691–692

    Article  Google Scholar 

  • Trenberth KE, Fasullo JT (2013) An apparent hiatus in global warming? Earth Future 1(1):19–32

    Article  Google Scholar 

  • Uppala SM, Kållberg PW, Simmons AJ et al (2005) The ERA-40 re-analysis. Q J R Meteorol Soc 131(612):2961–3012

    Article  Google Scholar 

  • Weiss JL, Gutzler DS, Coonrod JEA, Dahm CN (2004) Seasonal and inter-annual relationships between vegetation and climate in central New Mexico, USA. J Arid Environ 57:507–534

    Article  Google Scholar 

  • Zeng F, Collatz G, Pinzon J, Ivanoff A (2013) Evaluating and quantifying the climate-driven interannual variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at global scales. Remote Sens 5(8):3918–3950

    Article  Google Scholar 

Download references

Acknowledgements

We are grateful to the anonymous reviewers for their comments on earlier versions of the manuscript.

Funding

The present study was sponsored by the National Science Foundation of China (No. 41661003), Natural Science Foundation of Ningxia Province (No. NX16010), First Class Disciplines Program in Western China of Ningxia Province (Ecology, No. NXYLXK2017B06), and “Light of West China” Program of the Chinese Academy of Sciences (No. XAB2017AW01).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lingtong Du.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hou, J., Du, L., Liu, K. et al. Characteristics of vegetation activity and its responses to climate change in desert/grassland biome transition zones in the last 30 years based on GIMMS3g. Theor Appl Climatol 136, 915–928 (2019). https://doi.org/10.1007/s00704-018-2527-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-018-2527-0

Navigation