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Chinese Journal of Applied Ecology ›› 2021, Vol. 32 ›› Issue (7): 2514-2524.doi: 10.13287/j.1001-9332.202107.030

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Predicting suitable distribution areas of Juniperus przewalskii in Qinghai Province under climate change scenarios

ZHANG Wei-ping1, HU Yun-yun2, LI Zhi-hua2, FENG Xue-ping1, LI Deng-wu1*   

  1. 1College of Forestry, Northwest A&F University, Yangling 712100, Shaanxi, China;
    2Key Laboratory of National Forestry and Grassland Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Northwest Surveying, Planning and Designing Institute of National Forestry and Grassland Administration, Xi'an 710048, China
  • Received:2021-01-15 Revised:2021-04-19 Online:2021-07-15 Published:2022-01-15
  • Contact: *dengwuli@163.com
  • Supported by:
    Projet of Northwest Surveying,Planning and Designing Institute of National Forestry and Grasland Administration (20181207000007).

Abstract: Juniperus przewalskii is important for water and soil conservation. It is one of the native tree species suitable for afforestation and greening in high-cold and arid areas of Qinghai Province. Predicting the potential geographic distribution of J. przewalskii in Qinghai Province under the climate change scenario will provide theoretical guidance for its management, introduction, and cultivation. In this study, the current potential distribution of J. przewalskii was simulated firstly based on 88 effective distributional records from field investigation and data collection via Maxent model and ArcGIS spatial analysis. We analyzed dominant factors affecting the potential distribution of J. przewa-lskii by Jackknife test and correlation coefficient. The distribution of J. przewalskii under three climate change scenarios (SSP126, SSP245, SSP585) with the climate model data of the sixth phase of the Coupled Model Intercomparison Projects (CMIP6) were predicted for 2061-2080. The results showed that the area under the receiver operating characteristic curve (AUC) of the Maxent model was greater than 0.92, suggesting a good predictive performance. Under current climatic condition, the suitable distribution area of J. przewalskii was mainly located in the eastern part of Qinghai Province, with the suitable area accounted for 11.2% of the total. The dominant factors affecting the distribution of J. przewalskii were altitude, annual precipitation, the minimum temperature of coldest month, and slope, with a cumulative contribution rate of 85.9%. The suitable areas of J. przewalskii altered under the three future climate scenarios. The suitable areas would shrink under the SSP245 scenario and expand under the SSP126 and SSP585 scenarios. The sui-table area of J. przewalskii would have the most obvious expansion under the SSP126 climate situation, with the expanding areas being mainly located in Zeku County, the north-central part of Henan Mongolian Autonomous County, and the southeast of Qilian County. Under three climatic scenarios, the suitable area of J. przewalskii would gradually migrate to high altitudes, but without clear altitudinal and longitudinal shifts.

Key words: Juniperus przewalskii, climate change, Maxent model, stable distribution area