Quantitative analysis of vegetation restoration and potential driving factors in a typical subalpine region of the Eastern Tibet Plateau

PeerJ

卷:10

Qin Zhou¹  Xian’an Liu²  Maoyang Bai³  Peihao Peng³  Yu Feng³  Zengyan Guan⁴  Juan Wang⁴  Dan Zhao⁵ 

[1] Chengdu OCI Medical Devices Co., Ltd, Chengdu, China;

[2] College of Art, Sichuan Tourism University, Chengdu, China;

[3] College of Earth Sciences, Chengdu University of Technology, Chengdu, China;

[4] College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu, China;

[5] School of Tourism and Culture Industry, Sichuan Tourism University, Chengdu, China;

关键词: FVC;    Vegetation restoration;    Driving factors;    Eastern Tibet Plateau;    Subalpine;   

DOI  :  10.7717/peerj.13358

来源: DOAJ

【 摘 要 】

Vegetation restoration is an essential approach to re-establish the ecological balance in subalpine areas. Changes in vegetation cover represent, to some extent, vegetation growth trends and are the consequence of a complex of different natural factors and human activities. Microtopography influences vegetation growth by affecting the amount of heat and moisture reaching the ground, a role that is more pronounced in subalpine areas. However, little research is concerned with the characteristics and dynamics of vegetation restoration in different microtopography types. The respective importance of the factors driving vegetation changes in subalpine areas is also not clear yet. We used linear regression and the Hurst exponent to analyze the trends in vegetation restoration and sustainability in different microtopography types since 2000, based on Fractional Vegetation Cover (FVC) and identified potential driving factors of vegetation change and their importance by using Geographical Detector. The results show that: (1) The FVC in the region under study has shown an up-trend since 2000, and the rate of increase is 0.26/year (P = 0.028). It would be going from improvement to degradation, continuous decrease or continuous significant decrease in 47.48% of the region, in the future. (2) The mean FVC is in the following order: lower slope (cool), lower slope, lower slope (warm), valley, upper slope (warm), upper slope, valley (narrow), upper slope (cool), cliff, mountain/divide, peak/ridge (warm), peak/ridge, peak/ridge (cool). The lower slope is the microtopographic type with the best vegetation cover, and ridge peak is the most difficult to be afforested. (3) The main factors affecting vegetation restoration in subalpine areas are aspect, microtopographic type, and soil taxonomy great groups. The interaction between multiple factors has a much stronger effect on vegetation cover than single factors, with the effect of temperatures and aspects having the most significant impact on the vegetation cover changes. Natural factors have a greater impact on vegetation restoration than human factors in the study area. The results of this research can contribute a better understanding of the influence of different drivers on the change of vegetation cover, and provide appropriate references and recommendations for vegetation restoration and sustainable development in typical logging areas in subalpine areas.

【 授权许可】

Unknown