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  • 姜垒,胡喻华,吴玉芬,梁键明,蒋庆莲,张铭,谭淦,何春梅,韦霄,施诗,唐光大.基于MaxEnt模型的广东省红豆属植物潜在适生区研究[J].广西科学,2024,31(1):149-166.    [点击复制]
  • JIANG Lei,HU Yuhua,WU Yufen,LIANG Jianming,JIANG Qinglian,ZHANG Ming,TAN Gan,HE Chunmei,WEI Xiao,SHI Shi,TANG Guangda.Study on the Potential Suitable Area of Ormosia in Guangdong Province Based on the MaxEnt Model[J].Guangxi Sciences,2024,31(1):149-166.   [点击复制]
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基于MaxEnt模型的广东省红豆属植物潜在适生区研究
姜垒1,2, 胡喻华3, 吴玉芬1, 梁键明1, 蒋庆莲1, 张铭1, 谭淦1, 何春梅2, 韦霄4, 施诗1, 唐光大1
0
(1.华南农业大学林学与风景园林学院, 广东广州 510642;2.广东省林业科学研究院, 广东广州 510520;3.广东省林业调查规划院, 广东广州 510520;4.广西壮族自治区中国科学院广西植物研究所, 广西桂林 541006)
摘要:
为了解气候变化情景下广东省红豆属(Ormosia)潜在适生区的变化,探究影响红豆属植物潜在适生区的主导环境因子,本研究基于MaxEnt模型和ArcGIS 10.8软件,利用17种红豆属植物的分布数据及22个环境变量数据,结合未来共享社会经济路径(SSP126、SSP585)的气候情景,分别预测红豆属植物在当前和未来气候场景下的潜在适生区分布情况。结果表明:(1)适生区预测模型的评价效果良好,受试者工作特征曲线(Receiver Operating Characteristic curve, ROC曲线)下面积(AUC平均值)均为0.8-1.0。(2)在当前气候情景下,大面积(占广东省面积的40%-100%)适生的红豆属植物有茸荚红豆(Ormosia pachycarpa)等3种;中等面积(占20%-40%)适生的有薄毛茸荚红豆(O.pachycarpa var.tenuis)等6种;小面积(占5%-20%)适生的有韧荚红豆(O.indurata)等4种;极小面积(占0%-5%)适生的有凹叶红豆(O.emarginata)等4种。其中面积占比最大的是茸荚红豆,总适生面积为15.228 8×104 km2(占84.75%);面积占比最小的是博罗红豆(O.boluoensis),总适生面积为0.033 7×104 km2(占0.19%)。(3)降水和海拔对红豆属植物的分布起主导作用:12种红豆属植物适生区的主导环境因子为气候因子(9个降水因子,3个温度因子),剩余5种的主导环境因子是高程海拔因子(5个海拔因子)。(4)在未来(SSP126、SSP585)的气候情景下,潜在适生区面积增加的红豆属植物有凹叶红豆等4种,增加幅度为0.79%-42.43%;面积减小的红豆属植物有博罗红豆等13种,减少幅度为1.30%-78.56%。气候变暖对红豆属的潜在分布区具有一定的消极影响,17种红豆属植物中有13种的适生区面积将减少,特别是几个狭域分布的物种:博罗红豆、锈枝红豆(O.ferruginea)、小叶红豆(O.microphylla)、紫花红豆(O.purpureiflora)和亮毛红豆(O.sericeolucida),它们应是红豆属就地保护和迁地保护优先考虑的类群。
关键词:  红豆属  气候变化  MaxEnt 模型  潜在适生区  主导因子  广东省
DOI:10.13656/j.cnki.gxkx.20230719.001
投稿时间:2023-04-25修订日期:2023-05-29
基金项目:广东省2023年省级财政专项资金“广东省珍稀濒危野生动植物调查监测与野生动物危害防控”项目(440000230000000007278),广东省林业局科技项目(2023KJCX001)资助。
Study on the Potential Suitable Area of Ormosia in Guangdong Province Based on the MaxEnt Model
JIANG Lei1,2, HU Yuhua3, WU Yufen1, LIANG Jianming1, JIANG Qinglian1, ZHANG Ming1, TAN Gan1, HE Chunmei2, WEI Xiao4, SHI Shi1, TANG Guangda1
(1.College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, Guangdong, 510642, China;2.Guangdong Academy of Forestry, Guangzhou, Guangdong, 510520, China;3.Guangdong Forestry Survey and Planning Institute, Guangzhou, Guangdong, 510520, China;4.Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, Guangxi, 541006, China)
Abstract:
In order to understand the changes in the potential suitable areas of Ormosia in Guangdong Province under climate change scenarios and explore the dominant environmental factors affecting the potential suitable areas of Ormosia,based on the MaxEnt model and ArcGIS 10.8 software,this study used the distribution data of 17 species of Ormosia plants and the data of 22 environmental variables,combined with the climate scenarios of social and economic paths (SSP126,SSP585) to predict the distribution of potential suitable areas of Ormosia plants in the current and future climate scenarios.The results showed that:(1) The evaluation effect of the prediction model of the suitable area was good,and the Area under the Receiver Operating Characteristic curve (ROC curve) (average AUC values) were all in the range of 0.8-1.0.(2) Under the current climate scenario,Ormosia pachycarpa and other 3 species were suitable for growing in large area (accounting for 40%-100% of the area of Guangdong Province).6 species,including O.pachycarpa var.tenuis,were suitable for medium area (20%-40%).4 species,including O.indurata,were suitable for small area (5%-20%).4 species,such as O.emarginata,were suitable for very small area (0%-5%).Among them,the highest percentage of suitable area is O.pachycarpa,with a total area of 1 522 288 km2,accounting for 84.75%; the smallest suitable area is O.boluoensis,with a total area of 337 km2,accounting for 0.19%.(3) Rainfall and altitude play a leading role in the distribution of Ormosia plants.The dominant factors of the suitable area of 12 species of Ormosia plants were climatic factors (9 rainfall factors,3 temperature factors),and the dominant factors of the remaining 5 species were altitude factors (5 altitude factors).(4) Under the future climate scenarios (SSP126,SSP585),the potential suitable area of 4 Ormosia species would increase,including O.emarginata etc.,with an increase of 0.79%-42.43%.The potential suitable area of 13 Ormosia species would decrease,including O.boluoensis etc.,with a decrease of 1.30%-78.56%.Climate warming has a certain negative impact on the potential distribution area of Ormosia species.Among the 17 species of Ormosia,the suitable area of 13 species will be reduced,especially for several narrowly distributed species (O.boluoensis,O.ferruginea,O.microphylla,O.purpureiflora,and O.sericeolucida).They should be the priority groups of in-situ conservation and ex-situ conservation of Ormosia species.
Key words:  Ormosia  climate change  MaxEnt model  potential suitable areas  dominant factor  Guangdong Province

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