Abstract

Forest restoration in dryland mountainous areas is extremely difficult due to dry climate, complex topography and accelerating climate change. Thus, exact identification of suitable sites is required. This study at a small watershed of Qilian Mountains, Northwest China, aimed to determine the important factors and their thresholds limiting the spatial distribution of forests of Qinghai spruce (Picea crassifolia), a locally dominant tree species. The watershed was divided into 342 spatial units. Their location, terrain and vegetation characteristics were recorded. Statistical analysis showed that the potential distribution area of Qinghai spruce forests is within an ellipse with the axes of elevation (from 2673.6 to 3202.2 m a.s.l.) and slope aspect (from −162.1° to 75.1° deviated from North). Within this ellipse, the forested sites have a soil thickness ≥40 cm, and slope positions of lower-slope, lower- or middle-slope, anywhere if the elevation is <2800, 2800–2900, >2900 m a.s.l, respectively. The corresponding mean annual air temperature at upper elevation boundary is −2.69 °C, while the mean annual precipitation at lower elevation boundary is 374 (331) mm within the small watershed (study area). The high prediction accuracy using these 4 factors can help to identify suitable sites and increase the success of afforestation.

Details

Title
Spatial distribution of Qinghai spruce forests and the thresholds of influencing factors in a small catchment, Qilian Mountains, northwest China
Author
Yang, Wenjuan 1 ; Wang, Yanhui 1 ; Wang, Shunli 2 ; Webb, Ashley A 3 ; Yu, Pengtao 1 ; Liu, Xiande 2 ; Zhang, Xuelong 2 

 Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, China 
 Academy of Water Resource Conservation Forests of Qilian Mountains in Gansu Province, Zhangye, China 
 NSW Department of Primary Industries, Tamworth Agricultural Institute, Calala, NSW, Australia 
Pages
1-12
Publication year
2017
Publication date
Jul 2017
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1956157723
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.