Skip to main content

Advertisement

Log in

Differentiated seasonal vegetation cover dynamics of degraded grasslands in Inner Mongolia recorded by continuous photography technique

  • Special Issue: Asian Biometeorology (invited only)
  • Published:
International Journal of Biometeorology Aims and scope Submit manuscript

Abstract

Influence of climate change on the grassland phenology has attracted more and more attentions of ecologists. Although dozens of studies have been conducted, there have been few records examining the phenology differences of grasslands with different plant species compositions. Using continuous photography and image processing methods, this study examined seasonal vegetation cover dynamics of grasslands along a degradation gradient to clarify the influence of vegetation composition on the dynamics of vegetation cover during growing season. Our results revealed that phenological patterns of grasslands differentiated with their degradation status. Abandoned farmland (AF) and severely degraded grassland (SD) with most annuals and least climax species had the earliest start of growing season, while AF and extremely degraded grassland (ED) dominated by grasses had the earliest end of growing season. The start and end of growing season were strongly related to the relative cover of climax species and grasses. The results presented in this study support the possibility of using digital photography to capture the role of plant species composition on vegetation phenology in grasslands.

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

Similar content being viewed by others

References

  • Ahl DE, Gower ST, Burrows SN, Shabanov NV, Myneni RB, Knyazikhin Y (2006) Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS. Remote Sens Environ 104:88–95

    Article  Google Scholar 

  • Ahrends HE, Brugger R, Stockli R, Schenk J, Michna P, Jeanneret F, Wanner H, Eugster W (2008) Quantitative phenological observations of a mixed beech forest in northern Switzerland with digital photography. J Geophys Res Biogeosci 113(G4). doi:10.1029/2007JG000650

  • Ahrends HE, Etzold S, Kutsch WL, Stoeckli R, Bruegger R, Jeanneret F, Wanner H, Buchmann N, Eugster W (2009) Tree phenology and carbon dioxide fluxes: use of digital photography for process-based interpretation at the ecosystem scale. Clim Res 39:261–274

    Article  Google Scholar 

  • Akiyama T, Kawamura K (2007) Grassland degradation in China: methods of monitoring, management and restoration. Grassland Sci 53(1):1–17

  • Busetto L, Colombo R, Migliavacca M, Cremonese E, Meroni M, Galvagno M et al (2010) Remote sensing of larch phenological cycle and analysis of relationships with climate in the Alpine region. Glob Change Biol 16(9):2504–2517

    Google Scholar 

  • Canadell JG, Mooney HA (2002) Biological and ecological dimensions of global environmental change. Encyclopedia of global environmental change. John Wiley, Chichester, UK, pp 1–9

    Google Scholar 

  • Cleland EE, Chuine I, Menzel A, Mooney HA, Schwartz MD (2007) Shifting plant phenology in response to global change. Trends Ecol Evol 22:357–365

  • Crimmins MA, Crimmins TM (2008) Monitoring plant phenology using digital repeat photography. Environ Manag 41:949–958

    Article  Google Scholar 

  • Devaraj P (1999) Plant indicators principles and concepts. Ecol Environ Conserv 5(2):137–140

    Google Scholar 

  • Filippa G, Cremonese E, Migliavacca M, Galvagno M, Forkel M, Wingate L et al (2016) Phenopix: a R package for image-based vegetation phenology. Agric For Meteorol 220:141–150

    Article  Google Scholar 

  • Forkel M, Migliavacca M, Thonicke K, Reichstein M, Schaphoff S, Weber U, Carvalhais N (2015) Codominant water control on global interannual variability and trends in land surface phenology and greenness. Glob Change Biol 21:3414–3435

    Article  Google Scholar 

  • Hufkens K, Friedl M, Sonnentag O, Braswell BH, Milliman T, Richardson AD (2012) Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology. Remote Sens Environ 117:307–321

    Article  Google Scholar 

  • Ide R, Oguma H (2010) Use of digital cameras for phenological observations. Ecol Inform 5:339–347

    Article  Google Scholar 

  • Ide R, Oguma H (2013) A cost-effective monitoring method using digital time-lapse cameras for detecting temporal and spatial variations of snowmelt and vegetation phenology in alpine ecosystems. Ecol Inform 16:25–34

    Article  Google Scholar 

  • Jia B, Zhou G, Wang Y et al. (2006) Effects of temperature and soil watercontent on soil respiration of grazed and ungrazed Leymus chinensis steppes, Inner Mongolia. J Arid Environ 67:60–76

  • Julitta T, Cremonese E, Migliavacca M, Colombo R, Galvagno M, Siniscalco C et al (2014) Using digital camera images to analyse snowmelt and phenology of a subalpine grassland. Agric For Meteorol 198:116–125

    Article  Google Scholar 

  • Keatley MR, Fletcher TD, Hudson IL, Ades PK (2002) Phenological studies in Australia: potential application in historical and future climate analysis. Int J Climatol 22:1769–1780

    Article  Google Scholar 

  • Kharin N (1976) Mathematical models in phenology. J Biogeogr 3:357–364

    Article  Google Scholar 

  • Krogh SN, Zeisset MS, Jackson E, Whitford WG (2002) Presence/absence of a keystone species as an indicator of rangeland health. J Arid Environ 50(3):513–519

    Article  Google Scholar 

  • Li B (1997) The rangeland degradation in North China and its preventive strategy. Sci Agric Sin 30(6):1–9 (in Chinese with English abstract)

  • Li H, Zhang D, Lin Y, Wang L (2000) The Study of Gray-level Image Segmentation Algorithm Based on Otsu Method and Its Improvement (in Chinese with English abstract). Sci Tech Eng 10(22):1671–1815

  • Liu H, Yin Y, Tian Y et al. (2008) Climatic and anthropogenic controls of topsoil features in the semi-arid East Asian steppe. Geophys Res Lett 35(4):222–256

  • Luo Y, Wan S, Hui D, Wallace LL (2001) Acclimatization of soil respiration to warming in a tall grass prairie. Nature 413:622–625

  • Menzel A (2002) Phenology: its importance to the global change community—an editorial comment. Clim Chang 54:379–385

    Article  Google Scholar 

  • Otsu N (1979) A threshold selection method from gray-level histograms. Automatica 11(285–296):23–27

  • Qi Y, Dong Y, Liu J et al. (2007) Effect of the conversion of grassland to spring wheat field on the CO2 emission characteristics in Inner Mongolia, China. Soil Till Res 94:310–320

  • Richardson AD, Braswell BH, Hollinger DY, Jenkins JP, Ollinger SV (2009) Near surface remote sensing of spatial and temporal variation in canopy phenology. Ecol Appl 19:1417–1428

    Article  Google Scholar 

  • Richardson AD, Jenkins JP, Braswell BH, Hollinger DY, Ollinger SV, Smith ML (2007) Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia 152:323–334

    Article  Google Scholar 

  • Rutishauser T, Luterbacher J, Jeanneret F, Pfister C, Wanner H (2007) A phenology-based reconstruction of inter annual changes in past spring seasons. J Geophys Res 112(G04016). doi:10.1029/2006JG000382

  • Schwartz M (1990) Detecting the onset of spring: a possible application of phenological models. Clim Res 1:23–29

    Article  Google Scholar 

  • Seefeldt SS, Booth DT (2006) Measuring plant cover in sagebrush steppe rangelands: a comparison of methods. Environ Manag 37(5):703–711

    Article  Google Scholar 

  • Smith J, SconiersW SM, Ashton I, Suding K (2012) Phenological changes in alpine plants in response to increased snowpack, temperature, and nitrogen. Arc Antarc Alp Res 44:135–142

    Article  Google Scholar 

  • Soudani K, Hmimina G, Delpierre N, Pontailler JY, Aubinet M, Bonal D et al (2012) Ground-based network of NDVI measurements for tracking temporal dynamics of canopy structure and vegetation phenology in different biomes. Remote Sens Environ 123:234–245

    Article  Google Scholar 

  • Stockli R, Studer S, Appenzeller C, Vidale PL (2007) A comparative study of satellite and ground-based phenology. Int J Biometeorol 51:405–414

    Article  Google Scholar 

  • Walther GR, Post E, Convey P, Menzel A, Parmesan C, Beebee TJ et al (2002) Ecological responses to recent climate change. Nature 416:389–395

    Article  CAS  Google Scholar 

  • Xia J, Wan S (2013) Independent effects of warming and nitrogen addition on plant phenology in the Inner Mongolian steppe. Ann Bot 111:1207–1217

    Article  Google Scholar 

  • Xu X, Liu H, Song Z, Wang W, Hu G, Qi Z (2015) Responses of aboveground biomass and diversity to nitrogen addition along a degradation gradient in the Inner Mongolian steppe, China. Sci Rep. doi:10.1038/srep10284

    Article  Google Scholar 

  • Zhang F, Zhou G, Wang Y (2008) Phenological calendar of Stipa krylovii steppe in Inner Mongolia, China and its correlation with climatic variables (in Chinese with English abstract). J Plant Ecol 32(6):1312–1322

    Google Scholar 

  • Zhang X, Friedl MA, Schaaf CB (2006) Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): evaluation of global patterns and comparison with in situ measurements. J Geophys Res Biogeosci 111(G04017). doi:10.1029/2006JG000 217

  • Zhao J, Zhang Y, Tan Z, Song Q, Liang N (2012) Ecological informatics using digital cameras for comparative phenological monitoring in an evergreen broad-leaved forest and a seasonal rain forest. Ecol Inform 10:65–72

    Article  Google Scholar 

  • Zhao L, Wang F, Yang Z, Xiao H, Liu Z (2011) Effects of phenophase differentiation on production of grassland community (in Chinese with English abstract). Pratacultural Sci 28:1048–1051

    Google Scholar 

Download references

Acknowledgements

This study was supported by grants from the National Natural Science Foundation of China (NSFC 41530747 and 41325002).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongyan Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, X., Liu, H., Liu, X. et al. Differentiated seasonal vegetation cover dynamics of degraded grasslands in Inner Mongolia recorded by continuous photography technique. Int J Biometeorol 63, 671–677 (2019). https://doi.org/10.1007/s00484-017-1358-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00484-017-1358-5

Keywords

Navigation