Abstract
【Objective】 Geographic distribution pattern of Malus toringo was simulated using distribution records of collected specimen.【Method】 Geographic distribution of M.toringo was modeled using MaxEnt based on 291 distribution records from four herbariums in China and bioclimatic data(1950-2000) from WorldClim.【Result】 ① Potential distribution areas of M.toringo included the northeast of Pakistan,the central and northeast of Bhutan,the northeast of India,the southeast of Xizang,the northeast of Hebei,and the western mountains of Beijing.②The geographic distribution pattern of M.toringo were divided into four distribution blocks based on distribution values of 0.5-0.7:the border area of Sichuan,Gansu and Shaanxi in China;Chongqing,the most area of Guizhou,the southwest of Hubei,the most area of Hunan,the border area of Guangxi,Guizhou and Hunan,the most area of Jiangxi,the border area of Guangdong,Hunan and Jiangxi,the northeast Fujian,the most area of Zhejiang,the south of Anhui;the southern coastal areas of Korea;and the most area of Japanese islands.③Jackknife Test showed that average precipitation in warm seasons had the greatest contribution to the distribution gain of M.toringo and it naturally distributed over areas with average precipitation of 450-800 mm.【Conclusion】 In general,MaxEnt accurately simulated the geographical distribution of M.toringo.It showed the basic pattern of geographic distribution and the potential distribution areas,and clarified the dominant bioclimatic factors to geographic distribution of M.toringo.
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Claims 5
Claim · model-written summary
MaxEnt placed potential distribution areas of Malus toringo in northeast Pakistan, Bhutan, northeast India, southeast Xizang, northeast Hebei and the western mountains of Beijing.
- Taxon
- M.toringo
Malus sieboldiie1 - Outcome
- Potential distribution arease1
- Setting
- northeast of Pakistane1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Potential distribution areas of M.toringo included the northeast of Pakistan,the central and northeast of Bhutan,the northeast of India,the southeast of Xizang,the northeast of Hebei,and the western mountains of Beijing”
Claim · model-written summary
The geographic distribution pattern of Malus toringo formed four distribution blocks at distribution values of 0.5-0.7.
- Taxon
- M.toringoMalus sieboldiie2
- Outcome
- geographic distribution patterne2
- Value
- 0.5-0.7e2
- Qualifier
- four distribution blockse2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e2“The geographic distribution pattern of M.toringo were divided into four distribution blocks based on distribution values of 0.5-0.7”
Claim · model-written summary
Average precipitation in warm seasons made the greatest contribution to the distribution gain of Malus toringo.
- Taxon
- M.toringoMalus sieboldiie3
- Outcome
- distribution gaine3
- Direction
- greatest contributione3
- Qualifier
- average precipitatione3
- Setting
- warm seasonse3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e3“Jackknife Test showed that average precipitation in warm seasons had the greatest contribution to the distribution gain of M.toringo”
Claim · model-written summary
Malus toringo naturally distributed over areas with average precipitation of 450-800 mm.
- Taxon
- M.toringoMalus sieboldiie3
- Outcome
- naturally distributede4
- Value
- 450-800 mme4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e3“Jackknife Test showed that average precipitation in warm seasons had the greatest contribution to the distribution gain of M.toringo”
e4“it naturally distributed over areas with average precipitation of 450-800 mm”
Claim · model-written summary
MaxEnt accurately simulated the geographical distribution of Malus toringo.
- Taxon
- M.toringoMalus sieboldiie5
- Outcome
- geographical distributione5
- Value
- accuratelye5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e5“MaxEnt accurately simulated the geographical distribution of M.toringo”