基于MaxEnt滇牡丹潜在适生区研究
|
摘要
滇牡丹是我国特有植物,天然分布区狭窄,野生资源正面临严重的人为破坏,对滇牡丹适生区进行研究,有助于滇牡丹的人工繁育、保护和利用。利用Max Ent模型,对全国19个气候因子和48个滇牡丹野生资源地理分布点进行分析,获得滇牡丹潜在适生区分布区范围,并进行可视化梯度分级。研究结果表明,全国范围内,滇牡丹潜在适生区仅分布于云南省、四川省、贵州省及西藏自治区,并主要集中分布于滇西北和滇中、滇东北的部分地区;19个气候因子中,温度季节性变化标准差、等温性、年均温变化范围这3个气候因子依次对滇牡丹天然分布起到最重要的作用,3个变量的值分别为4 100-4 900、46-49、22.50-26.00℃时,最适合滇牡丹的生长发育。研究结果可为滇牡丹种植选择优先区域提供科学参考。
Paeonia delavayi is a endemic plant of China with narrow natural distribution area,and its natural resources are facing serious artificial damage. The study on Paeonia delavayi's potential distribution is very helpful for its propagation,protection,and utilization. Based on Max Ent model,this study analyzed 48 natural distribution spots of Paeonia delavayi and 19 climatic factors of China,outputted the map of Paeonia delavayi's potential distribution in China,got the several most important climate factors impacting Paeonia delavayi's distribution. The results showed that the optimal potential distribution area of Paeonia delavayi were only limited in Yunnan Province,Sichuan Province, Guizhou Province, Tibet Autonomous Region, and mostly concentrated in northwest part,central and northeast part of Yunnan Province; Temperature seasonality standard deviation,isothermality,temperature annual range were the 3 most prominent climate factors to Paeonia delavayi's potential distribution,and the optimum condition for Paeonia delavayi's growth were under these 3 factors with 4100-4900,46-49,and 22. 50-26. 00 ℃ respectively are. The result could be a scientific reference to selecting a optimum place for Paeonia delavayi planting.
Paeonia delavayi is a endemic plant of China with narrow natural distribution area,and its natural resources are facing serious artificial damage. The study on Paeonia delavayi's potential distribution is very helpful for its propagation,protection,and utilization. Based on Max Ent model,this study analyzed 48 natural distribution spots of Paeonia delavayi and 19 climatic factors of China,outputted the map of Paeonia delavayi's potential distribution in China,got the several most important climate factors impacting Paeonia delavayi's distribution. The results showed that the optimal potential distribution area of Paeonia delavayi were only limited in Yunnan Province,Sichuan Province, Guizhou Province, Tibet Autonomous Region, and mostly concentrated in northwest part,central and northeast part of Yunnan Province; Temperature seasonality standard deviation,isothermality,temperature annual range were the 3 most prominent climate factors to Paeonia delavayi's potential distribution,and the optimum condition for Paeonia delavayi's growth were under these 3 factors with 4100-4900,46-49,and 22. 50-26. 00 ℃ respectively are. The result could be a scientific reference to selecting a optimum place for Paeonia delavayi planting.
引文
[1]洪德元,潘开玉.芍药属牡丹组的分类历史和分类处理[J].植物分类学报,1999,37(4):351-368.
[2]王莲英.中国牡丹品种图志[M].北京:中国林业出版社,1997:2-7.
[3]李奎,郑宝强,王雁,等.滇牡丹自然种群数量动态[J].植物生态学报,2012,36(6):522-529.
[4]洪德元,周世良,何兴金,等.野生牡丹的生存状况和保护[J].生物多样性,2017,25(7):781-793.
[5]李树发,蔡艳飞,张秀新,等.滇牡丹天然群体的表型多样性[J].西南农业学报,2016,29(10):2470-2478.
[6]任秀霞,张盈,薛璟祺,等.滇牡丹天然居群的遗传多样性分析[J].植物遗传资源学报,2015,16(4):772-780.
[7]李奎,郑宝强,王雁,等.野生滇牡丹资源调查与分析[J].中国城市林业,2009,7(6):61-63.
[8]刘通,冯丹,陈少瑜,等.4个滇牡丹天然居群遗传多样性的ISSR分析[J].西部林业科学,2014,43(3):31-36.
[9]张艳丽,王雁,李正红,等.基于牡丹EST信息的滇牡丹SSR标记开发[J].林业科学研究,2011,24(2):171-175.
[10]张盈,徐迎春,张秀新,等.滇牡丹种群与生态环境现状的调查研究[J].江苏农业科学,2009(6):415-417.
[11]李奎,王雁,郑宝强,等.40个野生滇牡丹群体的花粉形态研究[J].北京林业大学学报,2011,33(1):94-103.
[12]张艳丽,李正红,马宏,等.滇牡丹花色类群性状变异分析[J].植物分类与资源学报,2011,33(2):183-190.
[13]李奎,郑宝强,王雁,等.滇牡丹的开花特征及繁育系统[J].东北林业大学学报,2013,41(1):63-67.
[14]施蕊,赵能,夏箐,等.民族药滇牡丹果皮中多糖的提取工艺研究[J].中国民族民间医药,2016,25(4):4-7.
[15]赵能,肖丰坤,施蕊,等.滇牡丹籽油与凤丹牡丹籽油品质及活性对比研究[J].中国油脂,2016,41(6):92-95.
[16]邢丁亮,郝占庆.最大熵原理及其在生态学研究中的应用[J].生物多样性,2011,19(3):295-302.
[17]Phillips S J,Dudík M.Modeling of species distributions with Maxent:new extensions and a comprehensive evaluation[J].Ecography,2008,31(2):161-175.
[18]Hernandez P A,Franke I,Herzog S K,et al.Predicting species distributions in poorly-studied landscapes[J].Biodiversity and Conservation,2008,17(6):1353-1366.
[19]Costa G C,Nogueira C,Machado R B,et al.Sampling bias and the use of ecological niche modeling in conservation planning:a field evaluation in a biodiversity hotspot[J].Biodiversity and Conservation,2010,19(3):883-899.
[20]毛俐慧,李垚,刘畅,等.基于Max Ent模型预测细叶小羽藓在中国的潜在分布区[J].生态学杂志,2017,36(1):54-60.
[21]张颖,李君,林蔚,等.基于最大熵生态位元模型的入侵杂草春飞蓬在中国潜在分布区的预测[J].应用生态学报,2011,22(11):2970-2976.
[22]松梅,张明理,张宏祥,等.利用最大熵模型和规则集遗传算法模型预测孑遗植物裸果木的潜在地理分布及格局[J].植物生态学报,2010,34(11):1327-1335.
[23]景鹏飞,武坤毅,龚晔,等.药用植物细辛在中国的潜在适生区分布[J].植物分类与资源学报,2015,37(3):349-356.
[24]张慧,高吉喜,马孟枭,等.基于Max Ent模型的道路对朱鹮繁殖地的影响[J].应用生态学报,2017,28(4):1352-1359.
[25]Amaro G,de Morais E G F.Potential geographical distribution of the red palm mite in South America[J].Experimental and applied acarology,2013,60(3):343-355.
[26]Hermosilla C,Rocha F,Valavanis V D.Assessing Octopus vulgaris distribution using presence-only model methods[J].Hydrobiologia,2011,670(1):35-47.
[27]Swets J A.Measuring the accuracy of diagnostic systems[J].Science,1988,240(4857):1285-1293.
[28]黎明,祝宝玉,范国强,等.秋冬季节温度变化对毛泡桐实生幼苗顶芽生长发育的影响[J].河南农业大学学报,2007,41(3):280-283.
[29]王刚,张建波,钟均超,等.温度变化幅度对西洋参种子生长发育的影响[J].人参研究,2001,13(2):23-25.
[30]刘志民,杨甲定,刘新民.青藏高原几个主要环境因子对植物的生理效应[J].中国沙漠,2000,20(3):309-313.
[2]王莲英.中国牡丹品种图志[M].北京:中国林业出版社,1997:2-7.
[3]李奎,郑宝强,王雁,等.滇牡丹自然种群数量动态[J].植物生态学报,2012,36(6):522-529.
[4]洪德元,周世良,何兴金,等.野生牡丹的生存状况和保护[J].生物多样性,2017,25(7):781-793.
[5]李树发,蔡艳飞,张秀新,等.滇牡丹天然群体的表型多样性[J].西南农业学报,2016,29(10):2470-2478.
[6]任秀霞,张盈,薛璟祺,等.滇牡丹天然居群的遗传多样性分析[J].植物遗传资源学报,2015,16(4):772-780.
[7]李奎,郑宝强,王雁,等.野生滇牡丹资源调查与分析[J].中国城市林业,2009,7(6):61-63.
[8]刘通,冯丹,陈少瑜,等.4个滇牡丹天然居群遗传多样性的ISSR分析[J].西部林业科学,2014,43(3):31-36.
[9]张艳丽,王雁,李正红,等.基于牡丹EST信息的滇牡丹SSR标记开发[J].林业科学研究,2011,24(2):171-175.
[10]张盈,徐迎春,张秀新,等.滇牡丹种群与生态环境现状的调查研究[J].江苏农业科学,2009(6):415-417.
[11]李奎,王雁,郑宝强,等.40个野生滇牡丹群体的花粉形态研究[J].北京林业大学学报,2011,33(1):94-103.
[12]张艳丽,李正红,马宏,等.滇牡丹花色类群性状变异分析[J].植物分类与资源学报,2011,33(2):183-190.
[13]李奎,郑宝强,王雁,等.滇牡丹的开花特征及繁育系统[J].东北林业大学学报,2013,41(1):63-67.
[14]施蕊,赵能,夏箐,等.民族药滇牡丹果皮中多糖的提取工艺研究[J].中国民族民间医药,2016,25(4):4-7.
[15]赵能,肖丰坤,施蕊,等.滇牡丹籽油与凤丹牡丹籽油品质及活性对比研究[J].中国油脂,2016,41(6):92-95.
[16]邢丁亮,郝占庆.最大熵原理及其在生态学研究中的应用[J].生物多样性,2011,19(3):295-302.
[17]Phillips S J,Dudík M.Modeling of species distributions with Maxent:new extensions and a comprehensive evaluation[J].Ecography,2008,31(2):161-175.
[18]Hernandez P A,Franke I,Herzog S K,et al.Predicting species distributions in poorly-studied landscapes[J].Biodiversity and Conservation,2008,17(6):1353-1366.
[19]Costa G C,Nogueira C,Machado R B,et al.Sampling bias and the use of ecological niche modeling in conservation planning:a field evaluation in a biodiversity hotspot[J].Biodiversity and Conservation,2010,19(3):883-899.
[20]毛俐慧,李垚,刘畅,等.基于Max Ent模型预测细叶小羽藓在中国的潜在分布区[J].生态学杂志,2017,36(1):54-60.
[21]张颖,李君,林蔚,等.基于最大熵生态位元模型的入侵杂草春飞蓬在中国潜在分布区的预测[J].应用生态学报,2011,22(11):2970-2976.
[22]松梅,张明理,张宏祥,等.利用最大熵模型和规则集遗传算法模型预测孑遗植物裸果木的潜在地理分布及格局[J].植物生态学报,2010,34(11):1327-1335.
[23]景鹏飞,武坤毅,龚晔,等.药用植物细辛在中国的潜在适生区分布[J].植物分类与资源学报,2015,37(3):349-356.
[24]张慧,高吉喜,马孟枭,等.基于Max Ent模型的道路对朱鹮繁殖地的影响[J].应用生态学报,2017,28(4):1352-1359.
[25]Amaro G,de Morais E G F.Potential geographical distribution of the red palm mite in South America[J].Experimental and applied acarology,2013,60(3):343-355.
[26]Hermosilla C,Rocha F,Valavanis V D.Assessing Octopus vulgaris distribution using presence-only model methods[J].Hydrobiologia,2011,670(1):35-47.
[27]Swets J A.Measuring the accuracy of diagnostic systems[J].Science,1988,240(4857):1285-1293.
[28]黎明,祝宝玉,范国强,等.秋冬季节温度变化对毛泡桐实生幼苗顶芽生长发育的影响[J].河南农业大学学报,2007,41(3):280-283.
[29]王刚,张建波,钟均超,等.温度变化幅度对西洋参种子生长发育的影响[J].人参研究,2001,13(2):23-25.
[30]刘志民,杨甲定,刘新民.青藏高原几个主要环境因子对植物的生理效应[J].中国沙漠,2000,20(3):309-313.