基于MaxEnt的三裂叶豚草在贵州省的潜在地理分布预测
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1贵州省农业科学院植物保护研究所/贵州省农业生物安全全省重点实验室,贵州 贵阳 550006 ; 2. 青岛农业大学植物健康与医学学院,山东 青岛 266109 ; 3. 中国农业科学院深圳农业基因组研究所,广东 深圳 518120

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叶照春,男,硕士,副研究员。研究方向:植物保护。E-mail:yezhaochun1@163.com

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贵州省科研机构创新能力建设专项资金项目(黔科合服企〔 2023〕 011)? 贵州省农业生物安全全省重点实验室项目(黔科合ZSYS〔2025〕024)


Prediction of potential geographic distribution for Ambrosia trifida in Guizhou Province based on MaxEnt model
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1 Institute of Plant Protection, Guizhou Academy of Agricultural Sciences/Guizhou Key Laboratory of Agricultural Biosecurity, Guiyang, Guizhou 550006 , China ; 2. College of Plant Health and Medicine, Qingdao Agricultural University, Qingdao Shandong 266109 , Chnia ; 3. Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120 , China

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    摘要:

    【目的】外来入侵植物三裂叶豚草具有强大的生态适应性,对我国农林畜牧业及有关产业造成严重损害,并对入侵区域的生态环境和生物多样性构成重大威胁。研究三裂叶豚草入侵贵州的潜在地理分布对该区域监测预警及防控具有重要指导意义。【方法】基于108个国内有效分布点信息与38个变量数据,结合MaxEnt模型、ArcGIS软件及Pearson相关性分析,在历史(1970—2000)及未来(SSP1-26、SSP2-45、SSP3-70和SSP5-85)气候条件下预测三裂叶豚草在贵州的潜在适生区分布及未来收缩/扩张趋势。【结果】利用筛选出的19个变量构建的MaxEnt模型AUC值为0.945,表明预测模型有较高的可靠性。昼夜温差月均值(b2)在2.79~11.56 ℃、等温性(b3)值在15.38~24.16、最干月降水量(b14)在0~4.83 mm或大于16.54 mm、最冷季降水量(b19)0~16.26 mm、降水量变异系数(b15)在11.53~51.06或90.28~144.72、最热季降水量(b18)在0~83.71 mm或219.99~418.74 mm时,三裂叶豚草适生概率随各变量值的升高而升高。此外,三裂叶豚草存在概率与海拔(el)、土壤硫酸盐含量(t_CaSO4)呈负相关。基于该模型,在历史气候条件及土壤条件下,三裂叶豚草在我国适生区总面积为199.91万km2,占国土面积的20.83%,其中高、中、低适生区面积分别占国土面积的0.61%、5.84%、14.37%;非适生区面积为760.22万km2。在贵州省,中等适生区面积为2.58万km2,占全省面积的15.49%,主要集中在贵阳市中东部地区、黔东南州中部及西南部大部分地区、毕节市与遵义市交界的部分地区;低适生区面积为7.19万km2,占比为43.21%;无高适生区。在未来4个情景及时期,中、低适生区面积之和在(4.84~8.68)万km2浮动;与当前形势相比,下降幅度在11.15%~50.49%,仍无高适生区。【结论】海拔el、昼夜温差月均值b2、等温性b3、最干月降水量b14、最冷季降水量b19、降水量变异系数b15、最热季降水量b18和土壤硫酸盐含量t_CaSO4等因子是影响三裂叶豚草潜在地理分布的8个关键环境变量。贵州省有58.71%的区域为三裂叶豚草的适生区。在未来气候模式下,三裂叶豚草中、低适生区均有向贵州省中部和西南部先扩张后又回缩的趋势,中适生区收缩/扩张的主要区域集中在遵义市、铜仁市、黔东南州和黔南州接壤的区域;而低适生区收缩/扩张的主要区域集中在贵州省中西部地区,主要有安顺市、六盘水市和黔西南州的部分区域。本研究结果可为贵州省三裂叶豚草的早期监测、干预及防控提供理论支撑。

    Abstract:

    【Aim】Ambrosia trifida, an invasive alien plant, exhibits strong ecological adaptability, causing severe damage to agriculture, forestry, animal husbandry and related industries in China, while posing significant threats to ecosystems and biodiversity. Studying the potential geographic distribution of A. trifida in Guizhou province is crucial for monitoring, early warning, and control of this plant.【Method】The information of 108 domestic occurrence records and 38 environmental and soil variables, as well as the MaxEnt model, ArcGIS software, and Pearson correlation analysis, were employed to predict the potential suitable areas of A. trifida in Guizhou under historical (1970—2000) and future climate scenarios (SSP1-26, SSP2-45, SSP3-70, and SSP5-85).【Result】The AUC value of the MaxEnt model constructed with 19 variables reached 0.945, indicating higher predictive reliability. The presence probability of A. trifida increased with increases in mean diurnal range (b2, 2.79-11.56℃), isothermality (b3, 15.38-24.16), precipitation of driest month (b14, 0-4.83 mm or greater than 16.54 mm), precipitation of coldest quarter (b19, 0-16.26 mm), precipitation seasonality (b15, coefficient of variation: 11.53-51.06 or 90.28-144.72), and precipitation of warmest quarter (b18, 0-83.71 mm or 219.99-418.74 mm). Under historical conditions, the total suitable area of A. trifida in China was 199 910 km2(20.82% of the national territory), with high, medium, and low suitable areas accounting for 0.61%, 5.84%, and 14.37%, respectively. In Guizhou, the medium suitable areas (15.49%, 25 800 km2) concentrated in central-eastern Guiyang City, central-southwestern Qiandongnan Prefecture, and parts bordering Bijie City and Zunyi City. The low suitable area was 71 900 km2, accounting for 43.21%. No high suitableareas were identified. Over the four future scenarios and periods, the sum of low and medium suitable areas fluctuated between 48 400 km2 and 86 800 km2. Compared to the current situation, this represented a decline of 11.15% to 50.49%. Unsuitable areas will still dominate, and there will still be no high suitable areas.【Conclusion】Elevation (el), mean diurnal range (b2), isothermality (b3), precipitation of driest month (b14), precipitation of coldest quarter (b19), precipitation seasonality (b15), precipitation of warmest quarter (b18), and soil sulfate content (t_CaSO4) were identified as critical factors influencing the distribution of A. trifida. In Guizhou, 58.71% of the area was suitable. Under four future scenarios, medium and low suitable areas showed initial expansion followed by contraction toward central and southwestern Guizhou. The contraction/expansion of medium suitable areas was concentrated in Zunyi Ccity, Tongren City, and border between Qiandongnan Prefecture and Qiannan Prefecture, while that of low suitable areas occurred in central-western regions (Anshun City, Liupanshui City, and Qianxinan Prefecture). This study provides critical insights for early monitoring, intervention, and control of A. trifida to mitigate its ecological and economic impacts in Guizhou.

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叶照春,冉海燕,何秀龙,陈仕红,曹珍,金剑雪.基于MaxEnt的三裂叶豚草在贵州省的潜在地理分布预测[J].生物安全学报中文版,2026,35(2):150-160

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  • 收稿日期:2025-06-06
  • 最后修改日期:2025-08-18
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  • 在线发布日期: 2026-06-03
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