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Scientia Silvae Sinicae ›› 2015, Vol. 51 ›› Issue (1): 127-131.doi: 10.11707/j.1001-7488.20150115

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Analysis of Suitable Bioclimatic Characteristics of Pseudolarix amabilis by Using MaxEnt Model

Wang Leihong1, Yang Junxian2, Xu Xiaoniu1   

  1. 1. School of Forestry & Landscape Architecture, Anhui Agricultural University Hefei 233036;
    2. School of Natural Sciences, Anhui Agricultural University Hefei 233036
  • Received:2014-02-17 Revised:2014-05-30 Online:2015-01-25 Published:2015-01-23

Abstract: [Objective]Suitable bioclimatic characteristics of Pseudolarix amabilis were analyzed by using the MaxEnt model to provide a scientific basis of forestry production of P. amabili. [Method]Geography distribution pattern of P. amabilis was simulated by using MaxEnt model based on the 43 specimen distribution records from four herbarium in China, and the bioclimatic data during period from 1950 to 2000 downloaded from the WorldClim website. Bioclimatic dominant factors and their appropriate ranges of values were also investigated. The results showed that the most suitable distribution area (with distribuition value of 0.73-1.0) for P. amabilis was in the eastern of Hunan, the southeastorn of Hubei, the northeastern of Jiangxi, the southern of Anhui, the northwest region and the northeast coastal mountains of Zhejiang. The remaining regions with distribution value of 0.37-0.73 were stretched area of the above high distribution value regions. The Jackknife Test indicated that bio11 (mean temperature of coldest quarter), bio9 (mean temperature of driest quarter) and bio18 (precipitation of warmest quarter) had the great contribution to the distribution of P. amabilis. Suitable values range of bio11, bio9, and bio18 was 1.15-8.1 ℃, 2.7-11.9 ℃, and 45.6-734.4 mm, respectively. The most suitable value was 4.62 ℃, 7.3 ℃, and 546.9 mm, respectively. [Conclusion]The MaxEnt model had high reliability to determine the geographic distribution range of P. amabilis, and to identify three dominant bioclimatic factors for geographic distribution of P. amabilis. In addition, the results revealed the quantitative bioclimatic conditions required for geographic distribution of P. amabilis.

Key words: Pseudolarix amabilis, maximum entropy modeling(MaxEnt), bioclimate

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