| 基于MaxEnt预测梭梭和白梭梭在新疆的潜在适生区 |
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| 引用本文： | 李雪,高广磊,孙桂丽,史浩伯,赵芳芳,马龙. 基于MaxEnt预测梭梭和白梭梭在新疆的潜在适生区[J]. 西部林业科学, 2021, 0(1): 145-152 |
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| 作者姓名： | 李雪 高广磊 孙桂丽 史浩伯 赵芳芳 马龙 |
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| 作者单位： | 新疆农业大学林学与园艺学院;干旱区林业生态与产业技术重点实验室;北京林业大学水土保持国家林业局重点实验室 |
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| 基金项目： | 国家自然科学基金(41861046),国家林业局软科学项目(2016-R25-1)。 |
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| 摘 要： | 梭梭和白梭梭是荒漠区特有的植物种,研究两者的潜在适生区,对于梭梭和白梭梭在新疆的引种栽培以及治理风沙具有重要意义.采用MaxEnt模型和ArcGIS软件预测梭梭和白梭梭在新疆的潜在适生区.结果表明:梭梭和白梭梭在新疆的潜在适生区主要位于北疆地区,包括阿勒泰、昌吉回族自治州、博尔塔拉蒙古自治州、塔城和克拉玛依的大部分地区...
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| 关 键 词： | 梭梭 白梭梭 最大熵模型 潜在适生区 环境变量 |
Potential Suitable Areas of Haloxylon ammodendron and Haloxylon persicum in Xinjiang Based on MaxEnt |
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| LI Xue,GAO Guang-lei,SUN Gui-li,SHI Hao-bo,ZHAO Fang-fang,MA Long. Potential Suitable Areas of Haloxylon ammodendron and Haloxylon persicum in Xinjiang Based on MaxEnt[J]. Journal of West China Forestry Science, 2021, 0(1): 145-152 |
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| Authors: | LI Xue GAO Guang-lei SUN Gui-li SHI Hao-bo ZHAO Fang-fang MA Long |
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| Affiliation: | (Forestry and Horticulture Department,Xinjiang Agriculture University,Urumqi Xinjiang 830052,P.R.China;Key Laboratory of Forestry Ecology and Industrial Technology in Arid Areas,Urumqi Xinjiang 830052,P.R.China;Key Laboratory of State Forestry Administration on Soil and Water Conservation,Yanchi Research Station,School of Soil and Water Conservation,Beijing Forestry University,Beijing 100083,P.R.China) |
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| Abstract: | Haloxylon ammodendron and Haloxylon persicum are endemic plant species in desert areas.The study of their potential growing areas is important for the introduction and cultivation of H.ammodendron and H.persicum in Xinjiang as well as sand control.The MaxEnt model and ArcGIS software were used to predict the potential suitable areas of H.ammodendron and H.persicum in Xinjiang.The results showed that the potential adaptability areas of H.ammodendron and H.persicum in Xinjiang are mainly located in the northern Xinjiang region,including most areas of Altay,Changji Hui Autonomous Prefecture,Bortala Mongolian Autonomous Prefecture,Tachen and Karamay,among which the distribution range of H.ammodendron is wider than that of H.persicum.The accuracy of the model was verified by the receiver operating characteristic(ROC)curve,and the AUC value was above 0.900,indicating that the prediction accuracy of the model was relatively high.The seasonal coefficient of variation of temperature,isothermality,altitude and precipitation in the driest season are the main environmental factors affecting the distribution of H.ammodendron.Average annual temperature,altitude,precipitation and slope in the coldest quarter are the main environmental factors affecting the distribution of H.persicum. |
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| Keywords: | Haloxylon ammodendron Haloxylon persicum MaxEnt model potential suitable areas environment variables |
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