WANG Yukuan, LU Yafeng, LI Qinwen. Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change[J]. Chinese Geographical Science, 2016, 26(2): 188-196. doi: 10.1007/s11769-016-0798-x
Citation: WANG Yukuan, LU Yafeng, LI Qinwen. Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change[J]. Chinese Geographical Science, 2016, 26(2): 188-196. doi: 10.1007/s11769-016-0798-x

Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change

doi: 10.1007/s11769-016-0798-x
Funds:  Under the auspices of National Basic Research Program of China (No. 2015CB452702)
More Information
  • Corresponding author: LU Yafeng
  • Received Date: 2015-04-20
  • Rev Recd Date: 2015-07-25
  • Publish Date: 2016-02-27
  • Identifying the impacts of climate change is important for conservation of ecosystems under climate change, particularly in mountain regions. Holdridge life zone system and Köppen classification provide two effective methods to assess impacts of climate change on ecosystems, as typical climate-vegetation models. Meanwhile, these previous studies are insufficient to assess the complex terrain as well as there are some uncertainties in results while using the given methods. Analysis of the impacts of the prevailing climate conditions in an area on shifts of ecosystems may reduce uncertainties in projecting climate change. In this study, we used different models to depict changes in ecosystems at 1 km × 1 km resolution in Sichuan Province, China during 1961-2010. The results indicate that changes in climate data during the past 50 years were sufficient to cause shifts in the spatial distribution of ecosystems. The trend of shift was from low temperature ecosystems to high temperature ecosystems. Compared with Köppen classification, the Holdridge system has better adaptation to assess the impacts of climate change on ecosystems in low elevation (0-1000 m). Moreover, we found that changed areas in ecosystems were easily affected by climate change than unchanged areas by calculating current climate condition.
  • [1] Baker B, Diaz H, Hargrove W et al., 2010. Use of the Köppen-Trewartha climate classification to evaluate climatic refugia in statistically derived ecoregions for the People's Republic of China. Climatic Change, 98(1-2): 113-131. doi:  10.1007/s10584-009-9622-2
    [2] Chakraborty A, Joshi P, Ghosh A et al., 2013. Assessing biome boundary shifts under climate change scenarios in India. Ecological Indicators, 34: 536-547. doi: 10.1016/j.ecolind.2013. 06.013
    [3] Chen X, 2000. Characteristic change of several forest landscapes between 1896 and 1986 in Heilongjiang Province. Acta Botanica Sinica, 42(9): 979-984.
    [4] Chen X, Zhang X S, Li B L, 2003. The possible response of life zones in China under global climate change. Global and Planetary Change, 38(3): 327-337. doi: 10.1016/S0921-8181 (03)00115-2
    [5] De Castro M, Gallardo C, Jylha K et al., 2007. The use of a climate-type classification for assessing climate change effects in Europe from an ensemble of nine regional climate models. Climatic Change, 81(1): 329-341. doi:  10.1007/s10584-006-9224-1
    [6] De Candolle A L P P, 1874. Constitution of physiological groups within the kingdom Plantea applicable to ancient and modern botanical geography. Archives Des Sciences Physiques Et Naturelles, 50: 5-42. (in French)
    [7] Diaz, H F, Eischeid J K, 2007. Disappearing 'alpine tundra' Köppen climatic type in the western United States. Geophysical Research Letters, 34(18): L18707. doi:  10.1029/2007GL031253
    [8] Foley J A, Levis S, Prentice I C et al., 1998. Coupling dynamic models of climate and vegetation. Global Change Biology, 4(5): 561-579.
    [9] Gou X, Zhang F, Deng Y, et al., 2012. Patterns and dynamics of tree-line response to climate change in the eastern Qilian Mountains, northwestern China. Dendrochronologia, 30(2): 121-126. doi:  10.1016/j.dendro.2011.05.002
    [10] Hallgren W, Pitman A, 2000. The uncertainty in simulations by a Global Biome Model (BIOME3) to alternative parameter values. Global Change Biology, 6(5): 483-495.
    [11] Hijmans R J, Cameron S E, Parra J L et al., 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25(15): 1965-1978. doi:  10.1002/joc.1276
    [12] Holdridge L R, 1967. Life Zone Ecology. San Jose: Tropical Science Center.
    [13] Hurtt G C, Moorcroft P, Pacala S W et al., 1998. Terrestrial models and global change: challenges for the future. Global Change Biology, 4(5): 581-590.
    [14] Inouye D W, Barr B, Armitage K B et al., 2000. Climate change is affecting altitudinal migrants and hibernating species. Proceedings of the National Academy of Sciences, 97(4): 1630-1633. doi:  10.1073/pnas.97.4.1630
    [15] Köppen W, 1900. Attempted climate classification in relation to plant distributions. Geographische Zeitschrift, 6(11): 593-611.
    [16] Kottek M, Grieser J, Beck C et al., 2006. World map of the Koppen-Geiger climate classification updated. Meteorologische Zeitschrift, 15(3): 259-264. doi:  10.1127/0941-2948/2006/0130
    [17] Lawler J J, 2009. Climate change adaptation strategies for resource management and conservation planning. Annals of the New York Academy of Sciences, 1162(1): 79-98. doi:  10.1111/j.1749-6632.2009.04147.x
    [18] Lu Y F, Liu Y Q, Xu P et al., 2015. An assessment of changes in bioclimatic types in Sichuan Province, 1961-2010. Journal of Mountain Science, 12(1): 145-153. doi:  10.1007/s11629-014-3046-9
    [19] Monserud R A, Leemans R, 1992. Comparing global vegetation maps with the Kappa statistic. Ecological Modelling, 62(4): 275-293. doi:  10.1016/0304-3800(92)90003-W
    [20] Peñuelas J, Boada M, 2003. A global change-induced biome shift in the Montseny mountains (NE Spain). Global Change Biology, 9(2): 131-140.
    [21] Rubel F, Kottek M, 2010. Observed and projected climate shifts 1901-2100 depicted by world maps of the Koppen-Geiger climate classification. Meteorologische Zeitschrift, 19(2): 135-141. doi:  10.1127/0941-2948/2010/0430
    [22] Saxon E, Baker B, Hargrove W et al., 2005. Mapping environments at risk under different global climate change scenarios. Ecology Letters, 8(1): 53-60.
    [23] Trewartha G T, Horn L H, 1980. An Introduction to Climate. New York: McGraw-Hill, 166-173.
    [24] Wang H, Ni J, Prentice I C, 2011. Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO2. Regional Environmental Change, 11(3): 715-727. doi:  10.1016/j.gloplacha.2005.03.001
    [25] Yue T X, Fan Z M, Liu J Y, 2005. Changes of major terrestrial ecosystems in China since 1960. Global and Planetary Change, 48(4): 287-302. doi:  10.1016/j.gloplacha.2005.03.001
    [26] Zhang Xinshi, 1993. A vegetation-climate classification system for global change studies in China. Quaternary Sciences, 2: 157-169. (in Chinese)
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Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change

doi: 10.1007/s11769-016-0798-x
Funds:  Under the auspices of National Basic Research Program of China (No. 2015CB452702)
    Corresponding author: LU Yafeng

Abstract: Identifying the impacts of climate change is important for conservation of ecosystems under climate change, particularly in mountain regions. Holdridge life zone system and Köppen classification provide two effective methods to assess impacts of climate change on ecosystems, as typical climate-vegetation models. Meanwhile, these previous studies are insufficient to assess the complex terrain as well as there are some uncertainties in results while using the given methods. Analysis of the impacts of the prevailing climate conditions in an area on shifts of ecosystems may reduce uncertainties in projecting climate change. In this study, we used different models to depict changes in ecosystems at 1 km × 1 km resolution in Sichuan Province, China during 1961-2010. The results indicate that changes in climate data during the past 50 years were sufficient to cause shifts in the spatial distribution of ecosystems. The trend of shift was from low temperature ecosystems to high temperature ecosystems. Compared with Köppen classification, the Holdridge system has better adaptation to assess the impacts of climate change on ecosystems in low elevation (0-1000 m). Moreover, we found that changed areas in ecosystems were easily affected by climate change than unchanged areas by calculating current climate condition.

WANG Yukuan, LU Yafeng, LI Qinwen. Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change[J]. Chinese Geographical Science, 2016, 26(2): 188-196. doi: 10.1007/s11769-016-0798-x
Citation: WANG Yukuan, LU Yafeng, LI Qinwen. Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change[J]. Chinese Geographical Science, 2016, 26(2): 188-196. doi: 10.1007/s11769-016-0798-x
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