黑肩绿盲蝽和中华淡翅盲蝽的适宜生态空间和潜在分布分析
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摘要
为明确稻飞虱的2种重要天敌黑肩绿盲蝽Cyrtorhinus lividipennis和中华淡翅盲蝽Tytthus chinensis在中国的适宜生态空间,根据二者已有的分布记录,通过选取具有限制性意义的气候变量,对2种盲蝽的生态空间进行了对比;并通过界定合适的模型构建区域,基于赤池信息量准则选取最优模型,在默认参数和校正优化参数下分别构建MaxEnt模型,对其预测结果进行比较分析。结果显示,2种盲蝽在我国所占有的生态空间具有较大的重叠,基于默认和优化参数的MaxEnt模型的预测结果差别较大,其中基于默认参数的MaxEnt模型预测结果较为保守,而基于优化参数后的MaxEnt模型能够较好地预测中华淡翅盲蝽与黑肩绿盲蝽在我国的生态空间和潜在分布,二者在我国中部及东南部有较大的生态空间和潜在分布区重叠,包括河南、江苏、浙江、湖北、湖南、福建、广东、广西等省区,其中黑肩绿盲蝽在我国华北和西北部亦有较高的适生性。
Tytthus chinensis and Cyrtorhinus lividipennis are two major natural enemies of rice planthoppers, and their ecological dimensions and potential distributions were predicted using ecological niche model. Environmental spaces occupied by the two species were firstly compared using occurrence records that were attained from literature and environmental variables selected according to their ecological relevance. Based on geographic backgrounds delimited according to the accessibility of individual species, the default and fine-tuned MaxEnt models for T. chinensis and C. lividipennis to predict their potential distributions were generated. The fine-tuned MaxEnt model was selected based on the corrected Akaike information criterion. The results showed that environmental space occupied by the two species overlapped broadly, and the predictions based on default and fine-tuned MaxEnt models were different: predictions based on default settings was more conservative than that based on fine-tuned parameters. The fine-tuned MaxEnt could more accurately predict the ecological dimensions and potential distributions of T. chinensis and C. lividipennis in China, and both species showed high climate suitability in central and southeastern China, including Henan, Jiangsu, Zhejiang, Hubei, Hunan, Fujian, Guangdong and Guangxi; C. lividipennis also showed high suitability in the north and northwest of China.
Tytthus chinensis and Cyrtorhinus lividipennis are two major natural enemies of rice planthoppers, and their ecological dimensions and potential distributions were predicted using ecological niche model. Environmental spaces occupied by the two species were firstly compared using occurrence records that were attained from literature and environmental variables selected according to their ecological relevance. Based on geographic backgrounds delimited according to the accessibility of individual species, the default and fine-tuned MaxEnt models for T. chinensis and C. lividipennis to predict their potential distributions were generated. The fine-tuned MaxEnt model was selected based on the corrected Akaike information criterion. The results showed that environmental space occupied by the two species overlapped broadly, and the predictions based on default and fine-tuned MaxEnt models were different: predictions based on default settings was more conservative than that based on fine-tuned parameters. The fine-tuned MaxEnt could more accurately predict the ecological dimensions and potential distributions of T. chinensis and C. lividipennis in China, and both species showed high climate suitability in central and southeastern China, including Henan, Jiangsu, Zhejiang, Hubei, Hunan, Fujian, Guangdong and Guangxi; C. lividipennis also showed high suitability in the north and northwest of China.
引文
Akaike H.1973.Information theory and an extension of the maximum likelihood principle.//2nd International Symposium on Information Theory,pp.610-624
Araújo MB,Peterson AT.2012.Uses and misuses of bioclimatic envelope modeling.Ecology,93(7):1527-1539
Barve N,Barve V,Jiménez-Valverde A,Lira-Noriega A,Maher SP,Peterson AT,Soberón J,Villalobos F.2011.The crucial role of the accessible area in ecological niche modeling and species distribution modeling.Ecological Modelling,222(11):1810-1819
Brown JL.2014.SDMtoolbox:a python-based GIS toolkit for landscape genetic,biogeographic and species distribution model analyses.Methods in Ecology and Evolution,5(7):694-700
Broennimann O,Fitzpatrick MC,Pearman PB,Petitpierre B,Pellissier L,Yoccoz NG,Thuiller W,Fortin MJ,Randin C,Zimmermann NE,et al.2012.Measuring ecological niche overlap from occurrence and spatial environmental data.Global Ecology and Biogeography,21(4):481-497
Chen JM,Cheng JA,He JH.1992.Overview of domestic and foreign studies on Cyrtorhinus lividipennis Reute.Entomology Knowledge,29(6):370-373(in Chinese)[陈建明,程家安,何俊华.1992.黑肩绿盲蝽的国内外研究概况.昆虫知识,29(6):370-373]
Dormann CF,Elith J,Bacher S,Buchmann C,Carl G,Carre G,Marquez JRG,Gruber B,Lafourcade B,Leitao PJ,et al.2013.Collinearity:a review of methods to deal with it and a simulation study evaluating their performance.Ecography,36(1):27-46
Elith J,Graham CH,Anderson RP,Dudík M,Ferrier S,Guisan A,Hijmans RJ,Huettmann F,Leathwick JR,Lehmann A,et al.2006.Novel methods improve prediction of species’distributions from occurrence data.Ecography,29(2):129-151
Elith J,Phillips SJ,Hastie T,Dudík D,Chee YE,Yates CJ.2010.A statistical explanation of MaxEnt for ecologists.Diversity and Distributions,17(1):43-57
Escobar LE,Lira-Noriega A,Medina-Vogel G,Peterson AT.2014.Potential for spread of the white-nose fungus(Pseudogymnoascus destructans)in the Americas:use of MaxEnt and NicheA to assure strict model transference.Geospatial Health,9(1):221-229
Fu ZB,Zhuo WX.1980.The features of Cyrtorhinus lividipennis and its protection and utilization.Fujian Agricultural Science and Technology,(3):8-10,5(in Chinese)[傅子碧,卓文禧.1980.黑肩绿盲蝽的特性及其保护与利用.福建农业科技,(3):8-10,5]
Henry TJ.2012.Revision of the plant bug genus Tytthus(Hemiptera,Heteroptera,Miridae,Phylinae).ZooKeys,(220):1-114
Hernandez PA,Graham CH,Master LL,Albert DL.2006.The effect of sample size and species characteristics on performance of different species distribution modeling methods.Ecography,29(5):773-785
Hijmans RJ,Cameron SE,Parra JL,Jones PG,Jarvis A.2005.Very high resolution interpolated climate surfaces for global land areas.International Journal of Climatology,25:1965-1978
Heong KL,Hardy B.2009.Planthoppers:new threats to the sustainability of intensive rice production system in Asia.International Rice Research Institute.Los Bańos,Philippines:International Rice Research Institute,pp.1-460
Jueterbock A,Smolina I,Coyer JA,Hoarau G.2016.The fate of the Arctic seaweed Fucus distichus under climate change:an ecological niche modeling approach.Ecology and Evolution,6(6):1712-1724
Li PX,Zheng JH,Lin J,Maidi·Kuerman,Xiao HW,Wu JG.2017.Prediction of potential geographic distribution and analysis of the major driving factors for Prosodes(Lioprosodes)dilaticollis Motschulsky in Xinjiang by using MaxEnt model.Journal of Plant Protection,44(3):445-452(in Chinese)[李培先,郑江华,林峻,麦迪·库尔曼,肖宏伟,吴建国.2017.基于MaxEnt模型的突颊侧琵甲新疆潜在地理分布预测和主要影响因子分析.植物保护学报,44(3):445-452]
Lou YG,Zhang GR,Zhang WQ,Hu Y,Zhang J.2014.Reprint of:biological control of rice insect pests in China.Biological Control,68:103-116
Luo XN,Zhuo WX.1986.The life history of the white back planthopper,Sogatella furcifera(Horváth),on its weed host in Fujian Province.Journal of Plant Protection,13(1):9-16(in Chinese)[罗肖南,卓文禧.1986.福建水稻白背飞虱生活史及在杂草寄主上的特性.植物保护学报,13(1):9-16]
Muscarella R,Galante PJ,Soley-Guardia M,Boria RA,Kass JM,Uriarte M,Anderson RP.2014.ENMeval:an R package for conducting spatially independent evaluations and estimating optimal model complexity for MAXENT ecological niche models.Methods in Ecology and Evolution,5(11):1198-1205
Peterson AT,Pape?M,Soberón J.2008.Rethinking receiver operating characteristic analysis applications in ecological niche modeling.Ecological Modelling,213(1):63-72
Phillips SJ,Anderson RP,Schapire RE.2006.Maximum entropy modeling of species geographic distributions.Ecological Modelling,190(3/4):231-259
Qiao HJ,Hu JH,Huang JH.2013.Theoretical basis,future directions,and challenges for ecological niche models.Scientia Sinica Vitae,43(11):915-927(in Chinese)[乔慧捷,胡军华,黄继红.2013.生态位模型的理论基础、发展方向与挑战.中国科学:生命科学,43(11):915-927]
Soberón J,Nakamura M.2009.Niches and distributional areas:concepts,methods and assumptions.Proceedings of the National Academy of Sciences of the United States of America,106(S2):19644-19650
Sun PS,Jiang F,Zhang XL,Zhang JQ,Pan XB,Li ZH.2017.Invasion risk assessment of the Mediterranean fruit fly Ceratitis capitata into China.Journal of Plant Protection,44(3):436-444(in Chinese)[孙佩珊,姜帆,张祥林,张静秋,潘绪斌,李志红.2017.地中海实蝇入侵中国的风险评估.植物保护学报,44(3):436-444]
Sun Y,Br?nnimann O,Roderick GK,Poltavsky A,Lommen STE,Müller-Sc?hrer H.2017.Climatic suitability ranking of biological control candidates:a biogeographic approach for ragweed management in Europe.Ecosphere,8(4):e01731
Warren DL,Seifert SN.2011.Ecological niche modeling in MaxEnt:the importance of model complexity and the performance of model selection criteria.Ecology Applications,21(2):335-342
Warren DL,Wright AN,Seifert SN,Shaffer HB.2014.Incorporating model complexity and spatial sampling bias into ecological niche models of climate change risks faced by 90 California vertebrate species of concern.Diversity and Distributions,20(3):334-343
Wu WJ,Yu JY,Gao ZZ,Liang GW.2004.The use of omnivorous mirids for biological control of pests.Chinese Journal of Biological Control,20(1):61-64(in Chinese)[吴伟坚,余金咏,高泽正,梁广文.2004.杂食性盲蝽在生物防治上的应用.中国生物防治学报,20(1):61-64]
Zhu GP,Liu GQ,Bu WJ,Gao YB.2013.Ecological niche modeling and its applications in biodiversity conservation.Biodiversity Science,21(1):90-98(in Chinese)[朱耿平,刘国卿,卜文俊,高玉葆.2013.生态位模型基本原理及其在生物多样性保护中的应用.生物多样性,21(1):90-98]
Zhu GP,Redei D,Kment P,Bu WJ.2014.Effect of geographic background and equilibrium state on niche model transferability:predicting areas of invasion of Leptoglossus occidentalis.Biological Invasions,16(5):1069-1081
Zhu GP,Qiao HJ.2016.Effect of the MaxEnt model’s complexity on the prediction of species potential distributions.Biodiversity Science,24(10):1189-1196(in Chinese)[朱耿平,乔慧捷.2016.MaxEnt模型复杂度对物种潜在分布区预测的影响.生物多样性,24(10):1189-1196]
Zhu GP,Fan JY,Wang ML,Li M,Qiao HJ.2017.The important of the shape of receiver operating characteristic(ROC)curve in ecological niche model evaluation:case study of Hlyphantria cunea.Journal of Biosafety,26(3):184-190(in Chinese)[朱耿平,范靖宇,王梦琳,李敏,乔慧捷.2017.ROC曲线形状在生态位模型评价中的重要性--以美国白蛾为例.生物安全学报,26(3):184-190]
Zhu ZJ,Wang GY,Qiao F,Bai YL,Cheng JA,Heong KL,Zhu ZR.2017.Potential geographical distribution and habitat suitability analysis for two mirid predators Tytthus chinensis and Cyrtorhinus lividipennis(Hemiptera:Miridae)in rice fields based on MaxEnt model.Acta Entomologica Sinica,60(3):335-346(in Chinese)[祝梓杰,王桂瑶,乔飞,白月亮,程家安,Heong KL,祝增荣.2017.基于MaxEnt模型的两种捕食性盲蝽潜在分布区及其适生性分析.昆虫学报,60(3):335-346]
Araújo MB,Peterson AT.2012.Uses and misuses of bioclimatic envelope modeling.Ecology,93(7):1527-1539
Barve N,Barve V,Jiménez-Valverde A,Lira-Noriega A,Maher SP,Peterson AT,Soberón J,Villalobos F.2011.The crucial role of the accessible area in ecological niche modeling and species distribution modeling.Ecological Modelling,222(11):1810-1819
Brown JL.2014.SDMtoolbox:a python-based GIS toolkit for landscape genetic,biogeographic and species distribution model analyses.Methods in Ecology and Evolution,5(7):694-700
Broennimann O,Fitzpatrick MC,Pearman PB,Petitpierre B,Pellissier L,Yoccoz NG,Thuiller W,Fortin MJ,Randin C,Zimmermann NE,et al.2012.Measuring ecological niche overlap from occurrence and spatial environmental data.Global Ecology and Biogeography,21(4):481-497
Chen JM,Cheng JA,He JH.1992.Overview of domestic and foreign studies on Cyrtorhinus lividipennis Reute.Entomology Knowledge,29(6):370-373(in Chinese)[陈建明,程家安,何俊华.1992.黑肩绿盲蝽的国内外研究概况.昆虫知识,29(6):370-373]
Dormann CF,Elith J,Bacher S,Buchmann C,Carl G,Carre G,Marquez JRG,Gruber B,Lafourcade B,Leitao PJ,et al.2013.Collinearity:a review of methods to deal with it and a simulation study evaluating their performance.Ecography,36(1):27-46
Elith J,Graham CH,Anderson RP,Dudík M,Ferrier S,Guisan A,Hijmans RJ,Huettmann F,Leathwick JR,Lehmann A,et al.2006.Novel methods improve prediction of species’distributions from occurrence data.Ecography,29(2):129-151
Elith J,Phillips SJ,Hastie T,Dudík D,Chee YE,Yates CJ.2010.A statistical explanation of MaxEnt for ecologists.Diversity and Distributions,17(1):43-57
Escobar LE,Lira-Noriega A,Medina-Vogel G,Peterson AT.2014.Potential for spread of the white-nose fungus(Pseudogymnoascus destructans)in the Americas:use of MaxEnt and NicheA to assure strict model transference.Geospatial Health,9(1):221-229
Fu ZB,Zhuo WX.1980.The features of Cyrtorhinus lividipennis and its protection and utilization.Fujian Agricultural Science and Technology,(3):8-10,5(in Chinese)[傅子碧,卓文禧.1980.黑肩绿盲蝽的特性及其保护与利用.福建农业科技,(3):8-10,5]
Henry TJ.2012.Revision of the plant bug genus Tytthus(Hemiptera,Heteroptera,Miridae,Phylinae).ZooKeys,(220):1-114
Hernandez PA,Graham CH,Master LL,Albert DL.2006.The effect of sample size and species characteristics on performance of different species distribution modeling methods.Ecography,29(5):773-785
Hijmans RJ,Cameron SE,Parra JL,Jones PG,Jarvis A.2005.Very high resolution interpolated climate surfaces for global land areas.International Journal of Climatology,25:1965-1978
Heong KL,Hardy B.2009.Planthoppers:new threats to the sustainability of intensive rice production system in Asia.International Rice Research Institute.Los Bańos,Philippines:International Rice Research Institute,pp.1-460
Jueterbock A,Smolina I,Coyer JA,Hoarau G.2016.The fate of the Arctic seaweed Fucus distichus under climate change:an ecological niche modeling approach.Ecology and Evolution,6(6):1712-1724
Li PX,Zheng JH,Lin J,Maidi·Kuerman,Xiao HW,Wu JG.2017.Prediction of potential geographic distribution and analysis of the major driving factors for Prosodes(Lioprosodes)dilaticollis Motschulsky in Xinjiang by using MaxEnt model.Journal of Plant Protection,44(3):445-452(in Chinese)[李培先,郑江华,林峻,麦迪·库尔曼,肖宏伟,吴建国.2017.基于MaxEnt模型的突颊侧琵甲新疆潜在地理分布预测和主要影响因子分析.植物保护学报,44(3):445-452]
Lou YG,Zhang GR,Zhang WQ,Hu Y,Zhang J.2014.Reprint of:biological control of rice insect pests in China.Biological Control,68:103-116
Luo XN,Zhuo WX.1986.The life history of the white back planthopper,Sogatella furcifera(Horváth),on its weed host in Fujian Province.Journal of Plant Protection,13(1):9-16(in Chinese)[罗肖南,卓文禧.1986.福建水稻白背飞虱生活史及在杂草寄主上的特性.植物保护学报,13(1):9-16]
Muscarella R,Galante PJ,Soley-Guardia M,Boria RA,Kass JM,Uriarte M,Anderson RP.2014.ENMeval:an R package for conducting spatially independent evaluations and estimating optimal model complexity for MAXENT ecological niche models.Methods in Ecology and Evolution,5(11):1198-1205
Peterson AT,Pape?M,Soberón J.2008.Rethinking receiver operating characteristic analysis applications in ecological niche modeling.Ecological Modelling,213(1):63-72
Phillips SJ,Anderson RP,Schapire RE.2006.Maximum entropy modeling of species geographic distributions.Ecological Modelling,190(3/4):231-259
Qiao HJ,Hu JH,Huang JH.2013.Theoretical basis,future directions,and challenges for ecological niche models.Scientia Sinica Vitae,43(11):915-927(in Chinese)[乔慧捷,胡军华,黄继红.2013.生态位模型的理论基础、发展方向与挑战.中国科学:生命科学,43(11):915-927]
Soberón J,Nakamura M.2009.Niches and distributional areas:concepts,methods and assumptions.Proceedings of the National Academy of Sciences of the United States of America,106(S2):19644-19650
Sun PS,Jiang F,Zhang XL,Zhang JQ,Pan XB,Li ZH.2017.Invasion risk assessment of the Mediterranean fruit fly Ceratitis capitata into China.Journal of Plant Protection,44(3):436-444(in Chinese)[孙佩珊,姜帆,张祥林,张静秋,潘绪斌,李志红.2017.地中海实蝇入侵中国的风险评估.植物保护学报,44(3):436-444]
Sun Y,Br?nnimann O,Roderick GK,Poltavsky A,Lommen STE,Müller-Sc?hrer H.2017.Climatic suitability ranking of biological control candidates:a biogeographic approach for ragweed management in Europe.Ecosphere,8(4):e01731
Warren DL,Seifert SN.2011.Ecological niche modeling in MaxEnt:the importance of model complexity and the performance of model selection criteria.Ecology Applications,21(2):335-342
Warren DL,Wright AN,Seifert SN,Shaffer HB.2014.Incorporating model complexity and spatial sampling bias into ecological niche models of climate change risks faced by 90 California vertebrate species of concern.Diversity and Distributions,20(3):334-343
Wu WJ,Yu JY,Gao ZZ,Liang GW.2004.The use of omnivorous mirids for biological control of pests.Chinese Journal of Biological Control,20(1):61-64(in Chinese)[吴伟坚,余金咏,高泽正,梁广文.2004.杂食性盲蝽在生物防治上的应用.中国生物防治学报,20(1):61-64]
Zhu GP,Liu GQ,Bu WJ,Gao YB.2013.Ecological niche modeling and its applications in biodiversity conservation.Biodiversity Science,21(1):90-98(in Chinese)[朱耿平,刘国卿,卜文俊,高玉葆.2013.生态位模型基本原理及其在生物多样性保护中的应用.生物多样性,21(1):90-98]
Zhu GP,Redei D,Kment P,Bu WJ.2014.Effect of geographic background and equilibrium state on niche model transferability:predicting areas of invasion of Leptoglossus occidentalis.Biological Invasions,16(5):1069-1081
Zhu GP,Qiao HJ.2016.Effect of the MaxEnt model’s complexity on the prediction of species potential distributions.Biodiversity Science,24(10):1189-1196(in Chinese)[朱耿平,乔慧捷.2016.MaxEnt模型复杂度对物种潜在分布区预测的影响.生物多样性,24(10):1189-1196]
Zhu GP,Fan JY,Wang ML,Li M,Qiao HJ.2017.The important of the shape of receiver operating characteristic(ROC)curve in ecological niche model evaluation:case study of Hlyphantria cunea.Journal of Biosafety,26(3):184-190(in Chinese)[朱耿平,范靖宇,王梦琳,李敏,乔慧捷.2017.ROC曲线形状在生态位模型评价中的重要性--以美国白蛾为例.生物安全学报,26(3):184-190]
Zhu ZJ,Wang GY,Qiao F,Bai YL,Cheng JA,Heong KL,Zhu ZR.2017.Potential geographical distribution and habitat suitability analysis for two mirid predators Tytthus chinensis and Cyrtorhinus lividipennis(Hemiptera:Miridae)in rice fields based on MaxEnt model.Acta Entomologica Sinica,60(3):335-346(in Chinese)[祝梓杰,王桂瑶,乔飞,白月亮,程家安,Heong KL,祝增荣.2017.基于MaxEnt模型的两种捕食性盲蝽潜在分布区及其适生性分析.昆虫学报,60(3):335-346]
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