Potential distributions of Picea crassifolia on the north slope of Qilian Mountains

doi:10.12302/j.issn.1000-2006.202012011

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (2): 221-226.doi: 10.12302/j.issn.1000-2006.202012011

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Potential distributions of Picea crassifolia on the north slope of Qilian Mountains

TU Zhenyu(), GOU Xiaohua, ZOU Songbing()

Key Laboratory of Western China’s Environment Systems (Ministry of Education), College of Earth and Environmental Science, Lanzhou University, Lanzhou 730000, China

Received:2020-12-05 Accepted:2021-02-22 Online:2022-03-30 Published:2022-04-08
Contact: ZOU Songbing E-mail:tuzhy20@lzu.edu.cn;zousb@lzu.edu.cn

Abstract

Abstract:

【Objective】Determining the distribution potential of Picea crassifolia in a suitable environment can provide an important basis for a regional ecological restoration and potential assessment. 【Method】Based on the species distribution data and related environmental data in the study area, a species distribution model based on the ecological niche was used to simulate the potential distribution of P. crassifolia with high spatial accuracy, and the key factors affecting its distribution characteristics were analyzed. 【Result】The results showed that the area under curve (AUC) values of the receiver operating characteristic (ROC) curves of the MaxEnt, Bioclim, Domain, and ecology niche factor analysis (ENFA) models were 0.977, 0.936, 0.959, and 0.904, respectively, which had high diagnostic values. Combined with the actual distribution of species and AUC values, the MaxEnt model had the best simulation effect. 【Conclusion】Using spatial analysis, the quantitative relationship between various environmental factors and P. crassifolia was summarized, and the boundary of environmental factors in the distribution area of P. crassifolia on the northern slope of the Qilian Mountains was defined using the standard deviation ellipse method, which provides a support for the regional ecological construction and has an important scientific and practical value.

Key words: Picea crassifolia, potential distribution, ecological niche, MaxEnt model, Qilian Mountains

CLC Number:

S791.18

TU Zhenyu, GOU Xiaohua, ZOU Songbing. Potential distributions of Picea crassifolia on the north slope of Qilian Mountains[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(2): 221-226.

Figures/Tables 5

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项目 item	海拔/m altitude	坡度/ (°) slope	坡向/ (°) aspect	平均气温/℃ mean temperature			平均降水/mm mean precipitation
项目 item	海拔/m altitude	坡度/ (°) slope	坡向/ (°) aspect	1月 Jan.	7月 Jul.	年均 mean annual	1月 Jan.	7月 Jul.	年均 mean annual
均值 mean	2 963.0	23.17	-2.60	-11.33	15.33	2.28	1.990	93.64	429.10
标准差 standard deviation	146.9	8.16	35.81	0.88	1.41	1.01	0.071	8.55	42.03
下限 lower limit	2 414.0	0.73	-133.90	-14.28	11.02	-1.67	1.780	63.89	298.26
上限 upper limit	3 753.0	46.44	99.82	-8.19	18.94	4.85	2.190	120.27	540.16

Potential distributions of Picea crassifolia on the north slope of Qilian Mountains

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