Journal of Resources and Ecology ›› 2020, Vol. 11 ›› Issue (1): 59-68.DOI: 10.5814/j.issn.1674-764x.2020.01.006

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Forest Transition and Its Driving Forces in the Qian-Gui Karst Mountainous Areas

ZHAO Yuluan1,2, REN Hongyu1, LI Xiubin2   

  1. 1. School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550001, China;
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2019-09-29 Accepted:2019-11-15 Online:2020-01-30 Published:2020-01-30
  • Contact: LI Xiubin, E-mail: lixb@igsnrr.ac.cn
  • Supported by:
    The National Natural Science Foundation of China (41771115); The National Key Basic Research and Development Program (2015CB452706); The Guizhou “Thousand” Level Innovative Talents Support Project in 2015(111-0317003).

Abstract: This study investigates the spatial differences and the factors influencing those differences as they affect forest transitions in the Qian-Gui Karst Mountain areas to provide references for policy makers, and ideas for eco-logical environmental protection strategies and adaptive management strategies for forest restoration projects in mountain areas. Forest transition characteristics are determined in relationship to spatial and functional transitions. SPSS and a geographical detector are used to analyze the forces driving forest transitions in terms of natural environmental and socio-economic factors. The results were as follows: (1) The area of forestland in the Qian-Gui Karst Mountain areas increased by 673.5 km2 during 1990-2015, and a U-shaped curve generally describes the tendency of this change. More precisely, forest land area decreased initially and increased later, with the turning point occurring in the year 2000. This suggests that the Qian-Gui Karst Mountain areas are being maintained at a later stage of forest transition, and this means they are experiencing a net increase in forest land area. The average annual rainfall and temperature, distance to the nearest river and nearest rural residential area, amplitude of topographical relief, and slope contributed the most to forest spatial transitions. (2) During the study period, the tendency for forest coverage to change varied considerably in different parts of the study area, and the greatest increase occurred in the area of very high forest coverage, an area of 154173.71 km2. The ranking of other forest coverages tended to decrease during the past 25 years. The vegetation ecosystem, in general, is being maintained in the process of restoration, and changes in the ranking of forest coverage were high in the northern part of the study area and low in the southern part. Forest spatial transitions were affected by the interaction between natural environmental and socio-economic factors, and the average annual temperature and rainfall, elevation, and lighting intensity at night were the most important factors that governed forest functional transitions. An examination of the direction in which spatial and functional transitions are moving in the forest area indicates that ecological construction, rather than spatial expansion of the forest area, should be used in the future to improve forest quality.

Key words: Qian-Gui Karst areas, forest transition, logistic regression analysis, geographical detector