Research Articles |
|
|
|
|
Assessing ecological vulnerability in western China based on Time-Integrated NDVI data |
JIN Jia1,2, WANG Quan1,3* |
1 Joint Research Center of Drylands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Faculty of Agriculture, Shizuoka University, Shizuoka 422-8529, Japan |
|
|
Abstract Arid and semi-arid areas are the most vulnerable regions to climate change. Clear understanding of the effects of climate change on ecosystems in arid and semi-arid regions and the ecosystem vulnerability is important for ecosystem management under the background of climate change. In this study, we conducted a vulnerability assessment on various ecosystems from 1982 to 2013 in western China with large areas of arid and semi-arid lands based on the Time-Integrated Normalized Difference Vegetation Index (TINDVI) data and climate data. The results indicated that grasslands were the most vulnerable ecosystem to climate change in western China, especially for those in Tibetan Plateau. Croplands in oases were not vulnerable to climate change compared to rain-fed croplands in semi-arid regions (e.g. Gansu and Inner Mongolia), which was attributed to the well-developed drip irrigation technology in oases. Desert and Gobi ecosystems were slightly vulnerable to climate change during the past several decades. The assessment results, as revealed in this study, can provide a reference for taking appropriate actions to protect the ecosystems in western China.
|
Received: 31 July 2015
Published: 10 August 2016
|
Fund: The National Basic Research Program of China (2012CB956204) and the National Natural Science Foundation of China (41101249). |
Corresponding Authors:
|
|
|
Agnew C T. 2000. Using the SPI to identify drought. Drought Network News, 12(1): 6–12. Akiyama T, Kawamura K. 2007. Grassland degradation in China: Methods of monitoring, management and restoration. Grassland Science, 53(1): 1–17. Allen R G, Pereira L S, Raes D, et al. 1998. Crop evapotranspiration—Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, 1–15. Beck P S A, Atzberger C, Høgda K A, et al. 2006. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI. Remote Sensing of Environment, 100(3): 321–334. Busetto L, Colombo R, Migliavacca M, et al. 2010. Remote sensing of larch phenological cycle and analysis of relationships with climate in the Alpine region. Global Change Biology, 16(9): 2504–2517. Cao L X, Zhang K, Dai H L, et al. 2015. Modeling interrill erosion on unpaved roads in the loess plateau of China. Land Degradation & Development, 26(8): 825–832. Cerdà A. 1998a. Effect of climate on surface flow along a climatological gradient in Israel: a field rainfall simulation approach. Journal of Arid Environments, 38(2): 145–159. Cerdà A. 1998b. Relationships between climate and soil hydrological and erosional characteristics along climatic gradients in Mediterranean limestone areas. Geomorphology, 25(1–2): 123–134. Cerdà A. 2000. Aggregate stability against water forces under different climates on agriculture land and scrubland in southern Bolivia. Soil and Tillage Research, 57(3): 159–166. Chen R S, Lu S H, Kang E S, et al. 2006. Estimating daily global radiation using two types of revised models in China. Energy Conversion and Management, 47(7–8): 865–878.Choi M, Jacobs J M, Anderson M C, et al. 2013. Evaluation of drought indices via remotely sensed data with hydrological variables. Journal of Hydrology, 476: 265–273. Ding M J, Zhang Y L, Liu L S, et al. 2007. The relationship between NDVI and precipitation on the Tibetan Plateau. Journal of Geographical Sciences, 17(3): 259–268. Fang S F, Yan J W, Che M L, et al. 2013. Climate change and the ecological responses in Xinjiang, China: Model simulations and data analyses. Quaternary International, 311: 108–116. Fisher J I, Mustard J F, Vadeboncoeur M A. 2006. Green leaf phenology at Landsat resolution: Scaling from the field to the satellite. Remote Sensing of Environment, 100(2): 265–279. Fu C B, Ma Z G. 2008. Global change and regional aridification. Chinese Journal of Atmospheric Sciences, 32(4): 752–760. (in Chinese)Geng Q L, Wu P T, Zhang Q F, et al. 2014. Dry/wet climate zoning and delimitation of arid areas of Northwest China based on a data-driven fashion. Journal of Arid Land, 6(3): 287–299. Ghulam A, Qin Q M, Zhan Z M. 2007. Designing of the perpendicular drought index. Environmental Geology, 52(6): 1045–1052. Guttman N B. 1998. Comparing the palmer drought index and the standardized precipitation index. Journal of the American Water Resources Association, 34(1): 113–121. He D, Liu Y L, Pan Z H, et al. 2013. Climate change and its effect on reference crop evapotranspiration in central and western Inner Mongolia during 1961–2009. Frontiers of Earth Science, 7(4): 417–428. Heim Jr R R. 2000. Drought indices: a review. In: Wilhite D A. Drought: A Global Assessment (Vol. 1). London, New York: Routledge, 159–167. Heim Jr R R. 2002. A review of twentieth-century drought indices used in the United States. Bulletin of the American Meteorological Society, 83(8): 1149–1165. Huo Z L, Dai X Q, Feng S Y, et al. 2013. Effect of climate change on reference evapotranspiration and aridity index in arid region of China. Journal of Hydrology, 492: 24–34. Ji L, Peters A J. 2003. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing of Environment, 87(1): 85–98. Jiang G M, Han X G, Wu J G. 2006. Restoration and management of the Inner Mongolia grassland require a sustainable strategy. AMBIO, 35(5): 269–270. Kaushalya R, Kumar V P, Shubhasmita S. 2014. Assessing agricultural vulnerability in India using NDVI data products. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-8: 39–46.Keyantash J, Dracup J A. 2002. The quantification of drought: An evaluation of drought indices. Bulletin of the American Meteorological Society, 83(8): 1167–1180. König H J, Zhen L, Helming K, et al. 2014. Assessing the impact of the sloping land conversion programme on rural sustainability in Guyuan, western China. Land Degradation & Development, 25(4): 385–396. Li Q Y, Fang H Y, Sun L Y, et al. 2014. Using the 137CS technique to study the effect of soil redistribution on soil organic carbon and total nitrogen stocks in an agricultural catchment of northeast China. Land Degradation & Development, 25(4): 350–359. Li R, Tsunekawa A, Tsubo M. 2014. Index-based assessment of agricultural drought in a semi-arid region of Inner Mongolia, China. Journal of Arid Land, 6(1): 3–15. Li S G, Asanuma J, Kotani A, et al. 2007. Evapotranspiration from a Mongolian steppe under grazing and its environmental constraints. Journal of Hydrology, 333(1): 133–143. Li S L, Yu F H, Werger M J A, et al. 2013. Understanding the effects of a new grazing policy: the impact of seasonal grazing on shrub demography in the Inner Mongolian steppe. Journal of Applied Ecology, 50(6): 1377–1386. Li X R, Jia X H, Dong G R. 2006. Influence of desertification on vegetation pattern variations in the cold semi-arid grasslands of Qinghai-Tibet Plateau, North-west China. Journal of Arid Environments, 64(3): 505–522. Li X Z, Liu X D, Ma Z G. 2004. Analysis on the drought characteristics in the main arid regions in the world since recent hundred-odd years. Arid Zone Research, 21(2): 97–103. (in Chinese)Lioubimtseva E. 2004. Climate change in arid environments: revisiting the past to understand the future. Progress in Physical Geography, 28(4): 502–530. Liu J G, Diamond J. 2005. China’s environment in a globalizing world. Nature, 435(7046): 1179–1186. Ma M G, Veroustraete F. 2006. Reconstructing pathfinder AVHRR land NDVI time-series data for the Northwest of China. Advances in Space Research, 37(4): 835–840.Mishra A K, Singh V P. 2010. A review of drought concepts. Journal of Hydrology, 391(1–2): 202–216. Montanarella L, Tóth G. 2008. Desertification in Europe. New York: Springer Science+Business Media, 110–125. Mu S J, Zhou S X, Chen Y Z, et al. 2013. Assessing the impact of restoration-induced land conversion and management alternatives on net primary productivity in Inner Mongolian grassland, China. Global and Planetary Change, 108: 29–41. Myneni R B, Hall F G. 1995. The interpretation of spectral vegetation indexes. IEEE Transactions on Geoscience and Remote Sensing, 33(2): 481–486. Nakayama T, Shankman D. 2013. Evaluation of uneven water resource and relation between anthropogenic water withdrawal and ecosystem degradation in Changjiang and Yellow River basins. Hydrological Processes, 27(23): 3350–3362. Parry M L, Canziani O F, Palutikof J P. 2007. Climate Change 2007: Impacts, Adaptation and Vulnerability: Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. Qian W H, Zhu Y F. 2001. Climate change in China from 1880 to 1998 and its impact on the environmental condition. Climatic Change, 50(4): 419–444. Ran Y H, Li X, Lu L. 2010. Evaluation of four remote sensing based land cover products over China. International Journal of Remote Sensing, 31(2): 391–401. Sellers P J, Berry J A, Collatz G J, et al. 1992. Canopy reflectance, photosynthesis, and transpiration. III. A reanalysis using improved leaf models and a new canopy integration scheme. Remote Sensing of Environment, 42(3): 187–216. Shahabfar A, Ghulam A, Eitzinger J. 2012. Drought monitoring in Iran using the perpendicular drought indices. International Journal of Applied Earth Observation and Geoinformation, 18: 119–127. Tang Y, Jiang D M, Lü X T. 2014. Effects of exclosure management on elm (Ulmus pumila) recruitment in Horqin sandy land, Northeastern China. Arid Land Research and Management, 28(1): 109–117. Tsakiris G, Vangelis H. 2005. Establishing a drought index incorporating evapotranspiration. European Water, 9(10): 3–11. Tsakiris G, Pangalou D, Vangelis H. 2007. Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resources Management, 21(5): 821–833. Vicente-Serrano S M, Beguería S, López-Moreno J I. 2010. A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. Journal of Climate, 23(7): 1696–1718. Wang G X, Wang Y B, Li Y S, et al. 2007. Influences of alpine ecosystem responses to climatic change on soil properties on the Qinghai-Tibet Plateau, China. CATENA, 70(3): 506–514. Wang Q, Ni J, Tenhunen J. 2005. Application of a geographically-weighted regression analysis to estimate net primary production of Chinese forest ecosystems. Global Ecology and Biogeography, 14(4): 379–393. Wang T, Wu W, Xue X, et al. 2004a. Study of spatial distribution of sandy desertification in North China in recent 10 years. Science in China Series D: Earth Sciences, 47(1): 78–88. Wang T, Wu W, Xue X, et al. 2004b. Spatial-temporal changes of sandy desertified land during last 5 decades in northern China. Acta Geographica Sinica, 59(2): 203–212. (in Chinese)Wang T, Xue X, Luo Y Q, et al. 2008. Human causes of aeolian desertification in Northern China. Sciences in Cold and Arid Regions, (1): 0001–0013. Wang T, Xue X, Zhou L, et al. 2015. Combating aeolian desertification in Northern China. Land Degradation & Development, 26(2): 118–132. Wilhite D A, Hayes M J, Svoboda M D. 2000. Drought monitoring and assessment: Status and trends in the United States. In: Vogt J V, Somma F. Drought and Drought Mitigation in Europe. Netherlands: Springer, 149–160. Wu J J, Zhou L, Liu M, et al. 2013. Establishing and assessing the Integrated Surface Drought Index (ISDI) for agricultural drought monitoring in mid-eastern China. International Journal of Applied Earth Observation and Geoinformation, 23: 397–410. Wu P T. 2010. The modern water-saving agricultural technology: Progress and focus. African Journal of Biotechnology, 9(37): 6017–6026. Wu S H, Dai E F, Huang M, et al. 2007. Ecosystem vulnerability of China under B2 climate scenario in the 21st century. Chinese Sciences Bulletin, 52(7): 811–817.Wylie B K, Fosnight E A, Smart A J, et al. 2005. Quantifying regional range condition for erosion and carbon modeling, In: AGU Fall Meeting Abstracts. AGU, Washington, DC, 1: B43B-0281. Xu E Q, Zhang H Q. 2014. Characterization and interaction of driving factors in karst rocky desertification: a case study from Changshun, China. Solid Earth, 5(2): 1329–1340. Xu S Y. 1991. Classification of arid climate in China and its characteristics. Scientia Geographica Sinica, 11(1): 1–9. (in Chinese)Zhang D F, Fengquan L, Jianmin B. 2000. Eco-environmental effects of the Qinghai-Tibet Plateau uplift during the Quaternary in China. Environmental Geology, 39(12): 1352–1358. Zhao D S, Wu S H. 2014. Vulnerability of natural ecosystem in China under regional climate scenarios: An analysis based on eco-geographical regions. Journal of Geographical Sciences, 24(2): 237–248. Zhao G J, Mu X, Wen Z M, et al. 2013. Soil Erosion, conservation, and eco-environment changes in the Loess Plateau of China. Land Degradation & Development, 24(5): 499–510. Zhao J F, Yan X D, Jia G S. 2009. Changes in carbon budget of Northeast China forest ecosystems under future climatic scenario. Chinese Journal of Ecology, 28(5): 781–787. (in Chinese)Zhao X, Wu P, Gao X, et al. 2015. Soil quality indicators in relation to land use and topography in a small catchment on the Loess Plateau of China. Land Degradation & Development, 26(1): 54–61. Zheng C L, Wang Q. 2013. Spatiotemporal variations of reference evapotranspiration in recent five decades in the arid land of Northwestern China. Hydrological Processes, 28(25): 6124–6134. Zhong L, Ma Y M, Salama M S, et al. 2010. Assessment of vegetation dynamics and their response to variations in precipitation and temperature in the Tibetan Plateau. Climatic Change, 103(3–4): 519–535. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|