Journal of Mountain Science

, Volume 14, Issue 9, pp 1863–1872 | Cite as

Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China

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Abstract

Climatic extremes such as drought have becoming a severe climate-related problem in many regions all over the world that can induce anomalies in vegetation condition. Growth and CO2 uptake by plants are constrained to a large extent by drought. Therefore, it is important to understand the spatial and temporal responses of vegetation to drought across the various land cover types and different regions. Leaf area index (LAI) derived from Global Land Surface Satellite (GLASS) data was used to evaluate the response of vegetation to drought occurrence across Yunnan Province, China (2001–2010). The meteorological drought was assessed based on Standardized Precipitation Index (SPI) values. Pearson’s correlation coefficients between LAI and SPI were examined across several timescales within six sub-regions of the Yunnan. Further, the drought-prone area was identified based on LAI anomaly values. Lag and cumulative effects of lack of precipitation on vegetation were evident, with significant correlations found using 3-, 6-, 9- and 12-month timescale. We found 9-month timescale has higher correlations compared to another timescale. Approximately 29.4% of Yunnan’s area was classified as drought-prone area, based on the LAI anomaly values. Most of this drought-prone area was distributed in the mountainous region of Yunnan. From the research, it is evident that GLASS LAI can be effectively used as an indicator for assessing drought conditions and it provide valuable information for drought risk defense and preparedness.

Keywords

MODIS Leaf area index distribution Standardized Precipitation Index (SPI) Drought Yunnan 

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11629_2016_3971_MOESM1_ESM.pdf (1.1 mb)
Using leaf area index (LAI) to assess vegetation response to drought in Yunnan province of China

References

  1. Ahl DE, Gower ST, Burrows SN, et al. (2006) Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS. Remote Sensing of Environment 104:88–95. https://doi.org/10.1016/j.rse.2006.05.003CrossRefGoogle Scholar
  2. Allen CD, Macalady AK, Chenchouni H, et al. (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management 259:660–684. https://doi.org/10.1016/j.foreco.2009.09.001CrossRefGoogle Scholar
  3. Antonić O, Hatic D, Pernar R (2001) DEM-based depth in sink as an environmental estimator. Ecological Modelling 138:247–254. https://doi.org/10.1016/S0304-3800(00)00405-1CrossRefGoogle Scholar
  4. Arnell NW (2008) Climate change and drought. In: López-Francos A (ed.), Drought management: scientific and technological innovations. Zaragoza: CIHEAM. pp 13–19. Available online: http://om.ciheam.org/om/pdf/a80/00800 414.pdf, accessed on January 4, 2016Google Scholar
  5. Barton AP, Fullen MA, Mitchell DJ, et al. (2004) Effects of soil conservation measures on erosion rates and crop productivity on subtropical Ultisols in Yunnan Province, China. Agriculture, Ecosystems & Environment 104(2):343–357. https://doi.org/10.1016/j.agee.2004.01.034CrossRefGoogle Scholar
  6. Brando PM, Nepstad DC, Davidson EA, et al. (2008) Drought effects on litterfall, wood production and belowground carbon cycling in an Amazon forest: results of a throughfall reduction experiment. Philosophical Transactions of Royal Society B Biological Science 363:1839–1848. https://doi.org/10.1098/rstb.2007.0031CrossRefGoogle Scholar
  7. Caccamo G, Chisholm LA, Bradstock RA, Puotinen ML (2011) Assessing the sensitivity of MODIS to monitor drought in high biomass ecosystems. Remote Sensing of Environment 115:2626–2639. https://doi.org/10.1016/j.rse.2011.05.018CrossRefGoogle Scholar
  8. Chaves MM, Maroco JP, Pereira JS (2003) Understanding plant responses to drought–from genes to the whole plant. Functional Plant Biology 30:239–264. https://doi.org/10.1071/FP02076CrossRefGoogle Scholar
  9. Chen JM, Black TA (1992) Defining leaf area index for non-flat leaves. Plant, Cell & Environment 15(4):421–429. https://doi.org/10.1111/j.1365-3040.1992.tb00992.xCrossRefGoogle Scholar
  10. De Kauwe MG, Disney MI, Quaife T, et al. (2011) An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest. Remote Sensing Environment 115:767–780. https://doi.org/10.1016/j.rse.2010.11.004CrossRefGoogle Scholar
  11. Dutta D, Kundu A, Patel NR, et al. (2015) Assessment of agricultural drought in Rajasthan (India) using remote sensing derived Vegetation Condition Index (VCI) and Standardized Precipitation Index (SPI). The Egypt Journal of Remote Sensing and Space Science 18(1):53–63. https://doi.org/10.1016/j.ejrs.2015.03.006CrossRefGoogle Scholar
  12. Farooq M, Hussain M, Wahid A, Siddique KHM (2012) Drought stress in plants: an overview. In: Aroca R (ed), Plant Responses to Drought Stress, 1st edn. Springer-Verlag Berlin Heidelberg. pp 1–33. https://doi.org/10.1007/978-3-642-32653-0_1Google Scholar
  13. Friedl MA, McIver DK, Hodges JCF, et al. (2002) Global land cover mapping from MODIS: algorithms and early results. Remote Sensing Environment 83:287–302. https://doi.org/10.1016/S0034-4257(02)00078-0CrossRefGoogle Scholar
  14. Goovaerts P (2000) Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of Hydrology 228:113–129. https://doi.org/10.1016/S0022-1694(00)00144-XCrossRefGoogle Scholar
  15. Gosling SN, Arnell NW (2013) A global assessment of the impact of climate change on water scarcity. Climatic Change 134(1):371–385. https://doi.org/10.1007/s10584-013-0853-xGoogle Scholar
  16. Grafton RQ, Pittock J, Williams J, et al. (2014) Water Planning and Hydro-Climatic Change in the Murray-Darling Basin, Australia. Ambio. 43(8):1082–1092. https://doi.org/10.1007/s13280-014-0495-xCrossRefGoogle Scholar
  17. Gutschick VP, BassiriRad H (2003) Extreme events as shaping physiology, ecology, and evolution of plants: toward a unified definition and evaluation of their consequences. New Phytologist 160(1):21–42. https://doi.org/10.1046/j.1469-8137.2003.00866.xCrossRefGoogle Scholar
  18. Guttman NB (1998) Comparing the palmer drought index and the standardized precipitation index. Journal of the American Water Resources Association 34(1):113–121. https://doi.org/10.1111/j.1752-1688.1998.tb05964.xCrossRefGoogle Scholar
  19. Heim RR (2002) A review of twentieth-century drought indices used in the United States. Bulletin of American Meteorological Society 83:1149–1165. https://doi.org/10.1175/1520-0477(2002)083<1149:AROTDI>2.3.CO;2CrossRefGoogle Scholar
  20. IPCC (2014) Climate change 2014 synthesis report. Contribution of working group I, II and III to the fifth assessment report of the Intergovernmental panel of Climate Change. Geneva, Switzerland. p 151Google Scholar
  21. Jackson TJ, Chen D, Cosh M, et al. (2004) Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans. Remote Sensing Environment 92(4):475–482. https://doi.org/10.1016/j.rse.2003.10.021CrossRefGoogle Scholar
  22. Ji L, Peters AJ (2003) Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing Environment 87(1):85–98. https://doi.org/10.1016/S0034-4257(03)00174-3CrossRefGoogle Scholar
  23. Jiang H (1980) Distributional features and zonal regularity of vegetation in Yunnan. Acta Botanica Yunnanica 2(2):142–151.Google Scholar
  24. Li Y, Ren F, Li Y, et al. (2014) Characteristics of the regional meteorological drought events in Southwest China during 1960-2010. Journal of Meteorological Research 28:381–392. https://doi.org/10.1007/s13351-014-3144-1.1CrossRefGoogle Scholar
  25. Lloyd-Hughes B, Saunders MA (2002) A drought climatology for Europe. International Journal of Climatology 22:1571–1592. https://doi.org/10.1002/joc.846CrossRefGoogle Scholar
  26. McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Proceedings of the 8th Conference on Applied Climatology. Anaheim, CA: American Meteorological Society. pp 179–184.Google Scholar
  27. Palmer WC (1965) Metorological drought. Washington, DC, US. p 65.Google Scholar
  28. Ranjitkar S, Sujakhu NM, Lu Y, et al. (2016) Climate modelling for agroforestry species selection in Yunnan Province, China. Environmental Modelling and Software 75:263–272. https://doi.org/10.1016/j.envsoft.2015.10.027CrossRefGoogle Scholar
  29. Running SW, Coughlan JC (1988) A general model of forest ecosystem processes for regional applications. I. Hydrological balance, canopy gas exchange and primary production processes. Ecological Modelling 42(2):125–154. https://doi.org/10.1016/0304-3800(88)90112-3CrossRefGoogle Scholar
  30. Saleska SR, Didan K, Huete AR, Da Rocha HR (2007) Amazon forests green-up during 2005 drought. Science 318(5850):612. https://doi.org/10.1126/science.1146663CrossRefGoogle Scholar
  31. Shi Z, Thomey ML, Mowll W, et al. (2014) Differential effects of extreme drought on production and respiration: synthesis and modeling analysis. Biogeosciences 11:621–633. https://doi.org/10.5194/bg-11-621-2014CrossRefGoogle Scholar
  32. Sohl TL, Sleeter BM, Sayler KL, et al. (2012) Spatially explicit land-use and land-cover scenarios for the Great Plains of the United States. Agriculture, Ecosystem & Environment 153:1–15. https://doi.org/10.1016/j.agee.2012.02.019CrossRefGoogle Scholar
  33. Spanner MA, Pierce LL, Peterson DL, Running SW (1990) Remote sensing of temperate coniferous forest leaf area index The influence of canopy closure, understory vegetation and background reflectance. International Journal of Remote Sensing 11(1):95–111. https://doi.org/10.1080/0143116900 8955002CrossRefGoogle Scholar
  34. Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bulletin of American Meteorological Society 93:485–498. https://doi.org/10.1175/BAMS-D-11-00094.1CrossRefGoogle Scholar
  35. Thomas A (1993) The onset of the rainy season in Yunnan province, PR China and its significance for agricultural operations. International Journal of Biometeorology 37(3):170–176. https://doi.org/10.1007/BF01212626CrossRefGoogle Scholar
  36. Tucker CJ, Choudhury BJ (1987) Satellite remote sensing of drought conditions. Remote Sensing Environment 23(2):243–251. https://doi.org/10.1016/0034-4257(87)90040-XCrossRefGoogle Scholar
  37. Vicente-Serrano SM, Gouveia C, Camarero JJ, et al. (2013) Response of vegetation to drought time-scales across global land biomes. Procedings of National Academy of Science U S A 110:52–7. https://doi.org/10.1073/pnas.1207068110CrossRefGoogle Scholar
  38. Wu S, Yang O, Zheng D (2003) Delineation of eco-geographic regional system of China. Journal of Geographical Sciences 13(3): 309–315. https://doi.org/10.1007/BF02837 505CrossRefGoogle Scholar
  39. Xiao Z, Liang S, Wang J, et al. (2011) Real-time retrieval of Leaf Area Index from MODIS time series data. Remote Sensing Environment 115(1):97–106. https://doi.org/10.1016/j.rse.2010.08.009CrossRefGoogle Scholar
  40. Xu Z, Zhou G, Shimizu H (2010) Plant responses to drought and rewatering. Plant Signaling & Behavior 5(6):649–654. https://doi.org/10.4161/psb.5.6.11398CrossRefGoogle Scholar
  41. Yan H, Fu Y, Xiao X, et al. (2009) Modeling gross primary productivity for winter wheat-maize double cropping system using MODIS time series and CO2 eddy flux tower data. Agricultural, Ecosystem & Environment 129(4):391–400. https://doi.org/10.1016/j.agee.2008.10.017CrossRefGoogle Scholar
  42. Zargar A, Sadiq R, Naser B, Khan FI (2011) A review of drought indices. Environmental Reviews 19:333–349. https://doi.org/10.1139/A11-013CrossRefGoogle Scholar
  43. Zhang J, Jiang L, Feng Z, Li P (2012) Detecting Effects of the Recent Drought on Vegetation in Southwestern China. Journal of Resources and Ecology 3(1):43–49. https://doi.org/10.5814/j.issn.1674-764x.2012.01.007CrossRefGoogle Scholar
  44. Zhang P, Anderson B, Barlow M, et al. (2004) Climate-related vegetation characteristics derived from Moderate Resolution Imaging Spectroradiometer (MODIS) leaf area index and normalized difference vegetation index. Journal of Geophysical Research 109: D20105. https://doi.org/10.1029/2004JD004720CrossRefGoogle Scholar
  45. Zhang Q, Kobayashi Y, Alipalo MH, Zheng Y (2012) Drying up: What to do about droughts in the People’s Republic of China, with a case study from Guiyang Municipality, Guizhou Province. Asian Development Bank, Mandaluyong City, Philipines. p 68.Google Scholar
  46. Zheng D, Li B (2008) Study on the eco-geographical regional system of China. The Commercial Press, Beijing, China.Google Scholar
  47. Zomer RJ, Xu J, Wang M, et al. (2015) Projected impact of climate change on the effectiveness of the existing protected area network for biodiversity conservation within Yunnan Province, China. Biological Conservation 184:335–345. https://doi.org/10.1016/j.biocon.2015.01.031CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Centre for Mountain Ecosystem Studies, Kunming Institute of BotanyChinese Academy of SciencesKunmingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.World Agroforestry Center, East and Central AsiaKunmingChina
  4. 4.State Key Laboratory of Remote Sensing Science, School of GeographyBeijing Normal UniversityBeijingChina

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