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

WANG Yukuan LU Yafeng LI Qinwen

WANG Yukuan, LU Yafeng, LI Qinwen. Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change[J]. 中国地理科学, 2016, 26(2): 188-196. doi: 10.1007/s11769-016-0798-x
引用本文: WANG Yukuan, LU Yafeng, LI Qinwen. Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change[J]. 中国地理科学, 2016, 26(2): 188-196. doi: 10.1007/s11769-016-0798-x
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
基金项目: Under the auspices of National Basic Research Program of China (No. 2015CB452702)
详细信息
    通讯作者:

    LU Yafeng

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

Funds: Under the auspices of National Basic Research Program of China (No. 2015CB452702)
More Information
    Corresponding author: LU Yafeng
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  • 被引次数: 0
出版历程
  • 收稿日期:  2015-04-20
  • 修回日期:  2015-07-25
  • 刊出日期:  2016-02-27

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

doi: 10.1007/s11769-016-0798-x
    基金项目:  Under the auspices of National Basic Research Program of China (No. 2015CB452702)
    通讯作者: LU Yafeng

摘要: 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.

English Abstract

WANG Yukuan, LU Yafeng, LI Qinwen. Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change[J]. 中国地理科学, 2016, 26(2): 188-196. doi: 10.1007/s11769-016-0798-x
引用本文: WANG Yukuan, LU Yafeng, LI Qinwen. Comparison and Effects of Different Climate-Vegetation Models in Areas of Complex Terrain under Climate Change[J]. 中国地理科学, 2016, 26(2): 188-196. doi: 10.1007/s11769-016-0798-x
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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