GEOGRAPHICAL RESEARCH ›› 2013, Vol. 32 ›› Issue (12): 2222-2232.doi: 10.11821/dlyj201312017

• Article • Previous Articles     Next Articles

Studies on landscape pattern of Liupan Mountains and the relationship with main climate factors

DAI Junhu1, WANG Hongli1,2, WANG Huanjiong1,2, LIU Yachen3, SHAO Liyang1,2   

  1. 1. Institute of Geographic Science and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. College of Urban and Environmental Science, Northwest University, Xi'an 710127, China
  • Received:2013-06-21 Revised:2013-10-10 Online:2013-12-10 Published:2013-12-10

Abstract: Based on Landsat TM Image, vegetation field survey data and meteorological data, we derived the distribution patterns of vegetation types, temperature and precipitation in Liupan Mountains by using image classification methods and regression analysis method. Subsequently, we analyzed the changes of landscape pattern in three transects with different climate conditions. The results showed that the annual mean temperatures in Liupan Mountains vary at different altitudes, ranging from 0.8℃ to 7.0℃, (the mean temperature lapse rate is 0.51℃/100m). The annual precipitation ranges from 599 mm in northwest region to 770 mm in southeast region. In the vertical direction, the precipitation tends to increase as the altitude increases and then begin to decrease when the altitude is more than 2502 m. The main vegetation type in Liupan Mountains is warm temperate deciduous broad-leaved forest. However, as the precipitation decreases from southeast to northwest, there is a tendency in vegetation types from forest to steppe. Therefore, precipitation is dominant factor affecting the vegetation landscape pattern in arid area of Northwest China. The conclusion is helpful for people to understand the mechanism of ecological response to climate changes and it can also provide scientific basis for regional ecological construction.

Key words: Liupan Mountains, vegetation distribution, climate factors, landscape pattern