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پیش‌بینی مدل پراکنش دو گونه از مگس‌های گل Paragus tibialis وParagus quadrifasciatus (Diptera: Syrphidae) در اقلیم‌های مختلف ایران | ||
| آفات و بیماری های گیاهی | ||
| مقاله 9، دوره 85، شماره 2 - شماره پیاپی 105، اسفند 1396، صفحه 235-250 اصل مقاله (1.43 M) | ||
| نوع مقاله: حشره شناسی کشاورزی | ||
| شناسه دیجیتال (DOI): 10.22092/jaep.2017.115364.1187 | ||
| نویسندگان | ||
| آزاده جباری1؛ علی مراد سرافرازی* 2؛ علی اکبر شمسی پور3؛ سهراب ایمانی4 | ||
| 1دانشجوی دکتری گروه حشره‌شناسی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران | ||
| 2دانشیار موسسه تحقیقات گیاه‌پزشکی کشور، بخش تحقیقات رده‌بندی حشرات، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران | ||
| 3دانشیار دانشکده جغرافیا، دانشگاه تهران، تهران، ایران | ||
| 4استادیار گروه حشره‌شناسی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران | ||
| چکیده | ||
| جنس Paragus با بیش از 50 گونه شناخته شده در ایران در بین جنس‌های دوبالان متعلق به خانواده سیرفیده، پتانسل بالایی برای کنترل آفات و حفاظت از گرده‌افشان‌ها دارد. این مطالعه بهمنظور دستیابی به الگوی پراکنش و ترجیح زیستگاهی دو گونه Paragus quadrifasciatus Meigen, 1822وParagus tibialis Fallen, 1817 در اقلیم‌های متفاوت ایران انجام شد. مدل پراکنش با استفاده از رکوردهای حضور گونه همراه با هفت متغیر بیواقلیمی و ارتفاع تهیه و درستی مدل با استفاده از شاخص سطح زیر نمودار (Area Under Curve) سنجیده شد. بررسی میزان تاثیر فاکتورهای بیواقلیمی با استفاده از تست جک نایف نشان داد میانگین دمای گرم‌ترین سه ماه و میزان بارندگی در گرم‌ترین سه ماه بیشترین تاثیر را به ترتیب در ساخت مدل پراکنش گونه P. quadrifasciatus و P. tibialis دارد. اقلیم‌های نیمه خشک با زمستان‌های سرد وتابستان‌های گرم در عرض‌های شمالی برای حضور هر دو گونه مناسب و مناطق مرکزی و جنوبی ایران با دمای بسیار بالا مناطق نامناسب برای حضور هر دو گونه شناخته شدند. مقدار میانگین شاخص سطح زیر منحنی، برای دو گونه P. quadrifasciatus و P. tibialisبه ترتیب 0.86 و 0.9 تعیین شد که دقت بالا و درستی مدل‌های به دست آمده برای پیش‌بینی پراکنش هر دو گونه را در این مطالعه نشان می‌دهد. | ||
| کلیدواژه‌ها | ||
| پراکنش؛ مدل‌سازی؛ Maxent؛ Paragus؛ Syrphidae | ||
| عنوان مقاله [English] | ||
| Predicting distribution models of two flower flies, Paragus tibialis and Paragus quadrifasciatus (Diptera: Syrphidae) in different climates of Iran | ||
| نویسندگان [English] | ||
| A. JABBARI1؛ A. M. SARAFRAZI2؛ A. A. SHAMSIPOUR3؛ S. IMANI4 | ||
| 1Department of Entomology, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 2Insect Taxonomy Research Department, Iranian Research Institute of Plant Protection, Tehran, Iran | ||
| 3Faculty of Geography, University of Tehran, Tehran, Iran | ||
| 4Department of Entomology, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده [English] | ||
| The genus Paragus with more than 50 known species in Iran has a high potential to control pest and concerve pollinator insects. This study was conducted to fill the information gap of the distribution patterns and habitat preferences of the two species, Paragus quadrifasciatus Meigen, 1822 and Paragus tibialis Fallen, 1817in different climates of Iran. The distribution model was prepared based on species presence records besides seven bioclimatic variables and altitudes. The accuracy of the model was measured using the Area Under Curve Index. The Jackknife test showed the mean temperature of warmest quarter and the precipitation of warmest quarter had the most effect on the distribution patterns of P. quadrifasciatus and P. tibialis respectively. The results showed that semi-arid climates with cold winter and warm summer in northern latitudes of Iran were suitable for the presence of both species, the central and southern regions of Iran with very high temperatures were considered as unsuitable areas for the presence of both species. Area Under Curve indices for both P. quadrifasciatus and P. tibialis were 0.86 and 0.9, respectively, implying the high precision and accuracy of the models for predicting the distribution models of both species in this study. | ||
| کلیدواژه‌ها [English] | ||
| Distributon Modeling, Maxent, Paragus, Syrphidae | ||
| مراجع | ||
|
ADASHKEVICH, B. P. 1975. Entomophagous pests in fruit crops (aphidophagous), Kolos, Moscow, Russia, All-Union academy of Agricultural Sciences of V. I. Lenin (All-Union research Institute of biological methods of plants protection), 1-191.
AGUILAR, G., D. BLANCHON, H. FOOTE, C. POLLONAIS and A. MOSEE, 2015. Queensland fruit fly invasion of New Zealand: Predicting area suitability under future climate change scenarios, Unitec ePress Perspectives in Biosecurity Research Series 2, Accessed date: [26 Dec. 2016], Available at: http://www.unitec. ac.nz/epress/
AGUIRRE-GUTIÉRREZ, J., W. D. KISSLING, J. C. BIESMEIJER, M. F. WALLISDEVRIES, M. REEMER and L. G. CARVALHEIRO, 2016. Historical changes in the importance of climate and land use as determinants of Dutch pollinator distributions, Journal of Biogeography, 44: 696-707.
AMOROS-JIMENEZ, R., A. PINEDA, A. FERERES and M. Á. MARCOS-GARCÍA, 2102. Prey availability and abiotic requirements of immature stages of the aphid predator Sphaerophoria rueppellii, Biological control, 63: 17-24.
BADRIPOUR, H. 2006. Country Pasture/Forage Resource Profiles: Islamic Republic of Iran, Accessed date: [24 Dec. 2016]. Available at: http://www.fao.org/ag/agp/agpc/doc/counprof/PDF%20files/Iran.pdf
BAKHTIYARI, S. 1998. Complete Atlas of Gitashenasi, Tehran, Iran: Gitashenasi Geographic and Cartography Institute, 1- 28.
BLACK, W. C., J. H. HATCHETT and L. J. KRCHMA, 1990. Allozyme variation among populations of the Hessian fly (Mayetiola destructor) in the United States, Journal of Heredity, 81: 331–337.
DE PAUW, E. D., A. GAFFARI and V. GASEMI, 2002. Agro-climatic zone maps of Iran, Seed and Plant Improvement Research Institute (SPIRI), 1-44.
DJAMALI, M., H. AKHANI, R. KHOSHRAVESH, V. ANDRIEU-PONEL, P. PONEL and S. BREWER, 2011. Application of the global bioclimatic classification to Iran: implications for understanding the modern vegetation and biogeography, Ecologia mediterranea, 37 (1): 91-114.
DJELLAB, S., A. VAN ECK and B. SAMRAOUI, 2013. A survey of the hoverflies of northeastern Algeria (Diptera: Syrphidae), Egyptian Journal of Biology, 15: 1-12.
ELITH, J., C. H. GRAHAM, R. P. ANDERSON, M. DUDIK, S. FERRIER, A. GUISAN, R. J. HIJMANS, F. HUETTMANN, J. R. LEATHWICK, A. LEHMANN, J. Li, L. G. LOHMANN, B. A. LOISELLE, G. MANION, C. MORITZ, M. NAKAMURA, Y. NAKAZAWA, J. M. OVERTON, A. T. PETERSON, S. J. PHILLIPS, K. RICHARDSON, R. SCACHETTI-PEREIRA, R. E. SCHAPIRE, J. SOBERON, S. WILLIAMS, M. S. WISZ and N. E. ZIMMERMANN, 2006. Novel methods improve prediction of species’ distributions from occurrence data, Ecography, 29: 129-151.
ESRI, 2013. ArcGIS version 10.2. Environmental Systems Research Institute. Inc. ESRI, Redands.
GILASIAN, E. and V. S. SOROKINA, 2011. The genus Paragus Latreille (Diptera: Syrphidae) in Iran, with the description of a new species, Zootaxa, 2764: 49-60.
GOELDLIN DE TIEFENAU, P. 1974. Contribution a l'etude systematique et ecologique des Syrphidae (Dipt.) de la Suisse occidentale, Bulletin de la société entomologique Suisse, 47: 151 - 252.
GRICHANOV, I. Y. and E. I. OVSYANNIKOVA, 2009. Interactive agricultural ecological atlas of Russia and neighboring countries, Accessed date: [1 Nov. 2016], Available at: http://www.agroatlas.ru/
HIJMANS, R. J., S. E. CAMERON, J. L. PARRA, P. G. JONES and A. JARVIS, 2005. Very high resolution interpolated climate surfaces for global land areas, International Journal of Climatology, 25: 1965–1978.
HOLWAY, D. A., A. V. SUAREZ and T. J. CASE, 2002. Role of abiotic factors in governing susceptibility to invasion: a test with Argentine ants, Ecology, 83: 1610–1619.
JABBARI, A., A. AHADIYAT and R. HAYAT, 2013. Species diversity of hover flies (Diptera: Syrphidae) and determination of the dominant species in Garmsar region, Plant Protection Journal, 5: 13-21.
JALILIAN, F., Y. KARIMPOUR, S. H. MALKESHI, E. GILASIAN, M. R. KAVIANPOUR, S. M. MAHJOOB, M. T. TOHIDI and SH. BAGHERI MATIN, 2014. Evaluation of population fluctuation of predacious species of syrphid flies (Dip.: Syrphidae) on Cabbage aphid Brevicoryne brassicae in rapeseed fields, Agricultural Pest Management, 1 (1): 46-54.
KAISER, M. E., T. NOMA, M. J. BREWER, K. S. PIKE, J. R. VOCKEROTH and S. D. GAIMARI, 2007. Hymenopteran parasitoids and dipteran predators found using soybean aphid after its Midwestern United States invasion, Annals of the Entomological Society of America, 100 (2): 196–205.
KHAGHANINIA, S. and C. HOSSEINI, 2013. Taxonomic study of Paragus Latreille (Diptera: Syrphidae) in the East Azerbaijan and Kordestan provinces of Iran, Efflatounia, 13: 8-18.
KRSTESKA, V. 2011. Faunistic and quantitative analysis of species of the genus Paragus, Bulletin of Tobacco Science and Profession, 61: 31-40.
LARDE, G. 1990. Growth of Ornidia obesa (Diptera: Syrphidae) Larvae on decomposing coffee pulp, Biological Wastes, 34(1): 73-76.
MILIC, D., S. RADANOVICH, J. STEPANOV, M. MILIČIĆ and A. VUJIĆ, 2013. Prediction of current species distribution of Cheilosia proxima group (diptera: syrphidae) on the Balkan Peninsula, Matica Srpska Journal of Natural Sciences, 125: 69-78.
NIKOLIC, T., D. RADIŠIČ, D. MILIĆ, V. MARKOVIĆ, S. TRIFUNOV, S. JOVIČIĆ, S. ŠIMIĆ and A. VUJIĆ, 2013. Models of the potential distribution and habitat preferences of the genus Pipiza (syrphidae: diptera) on the Balkan Peninsula, Archives of Biological Sciences, 65: 1037-1052.
HILL, P. M. 2010. The Flora and Fauna of the Northwich Woodlands, Northwich, UK, Northwich community woodlands ecology society, 1-33.
PEARCE, J. and S. FERRIER, 2000. An evaluation of alternative algorithms for fitting species distribution models using logistic regression, Journal of Ecological Modelling, 128: 147-127.
PEARSON, R. G., C. J. RAXWORTHY, M. NAKAMURA and A. T. PETERSON, 2007. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar, Journal of Biogeography, 34: 102–117.
POLCE, C., M. TERMANSEN, J. AGUIRRE-GUTIÉRREZ, N. D. BOATMAN, G. E. BUDGE, A. CROWE, M. P. GARRATT, S. PIETRAVALLE, S. G. POTTS, J. A. RAMIREZ, K. E. SOMERWILL and J. C. BIESMEIJER, 2013. Species Distribution Models for Crop Pollination: A Modelling Framework Applied to Great Britain, PLoS ONE, 8(10): e76308.
PETANIDOU, T., A. VUJIC and W. N. ELLIS, 2011. Hoverfly diversity (Diptera: Syrphidae) in a Mediterranean scrub community, Athens, Greece, Annales de la Société entomologique de France, 47: 168-175.
PHILLIPS, S. J., R. P. ANDERSON and R. E. SCHAPIRE, 2006. Maximum entropy modeling of species geographic distributions, Ecological modelling, 190: 231-256.
ROJO, S. and M. A. MARCOS-GARCIA, 1998. Catálogo de los sirfidos (Diptera Syrphidae) aphidófagos (Homoptera Aphididae) presentes en cultivos y plantes herbáceas de España y Portugal, Bollettino di Zoologia Agraria e di Bachicoltura, Ser.II, 30: 39-54.
ROURA-PASCUAL, N., L. BROTONS, A. T. PETERSON and W. THUILLER, 2009. Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula, Biological Invasions, 11: 1017-1031.
SHAKERYARI, A., S. KHAGHANINIA and K. H. IRANI NEJAD, 2012. Four species as new records of tribe Chrysogasterini (Diptera: Syrphidae) from Iran, Munis Entomology and Zoology, 7(1): 385-390
SHOJAEI HESARI, E., SH. PASHAEI RAD and M. SEIFALAH-ZADE, 2016. Two new records of the family Syrphidae (Insecta: Diptera) from Iran, Journal of Crop Protection, 5: 643-648.
SOLHJOUY-FARD, S., A. SARAFRAZI, M. M. MOEINI and A. AHADIYAT, 2013. Predicting habitat distribution of five heteropteran pest species in Iran, Journal of Insect Science, 13 (116): 1-16.
SOLHJOUY‐FARD, S. and A. SARAFRAZI, 2013. Potential impacts of climate change on distribution range of Nabis pseudoferus and N. palifer (Hemiptera: Nabidae) in Iran, Entomological Science, 17: 283-292.
SOLHJOUY‐FARD, S. and A. SARAFRAZI, 2016. Patterns of niche overlapping and richness among Geocoris species (Hemiptera: Geocoridae) in Iran. Biocontrol Science and Technology, 26: 1197-1211.
SOROKINA, V. S. 2009. Hover flies of the genus Paragus Latr. (Diptera, Syrphidae) of Russia and adjacent countries, Entomological Review, 89 (3): 351-366.
SPEIGHT, M. C. D. 2014. Species Accounts of European Syrphidae (Diptera), the Database of European Syrphidae, Dublin, Ireland, Syrph the Net, 1-319.
VAN EMDEN, H. F. and R. HARRINGTON, 2007. Aphids as Crop Pests, Wallingford, Oxford, UK, CABI publications, 1-717.
WIEGMANN, B. M., M. D. TRAUTWEIN, I. S. WINKLER, N. B. BARR, J. W. KIM, C. LAMBKIN, M. A. BERTONE, B. K. CASSEL, K. M. BAYLESS, A. M. HEIMBERG, B. M. WHEELER, K. J. PETERSON, T. PAPE, BR. J. SINCLAIR, J. H. SKEVINGTON, V. BLAGODEROV, J. CARAVAS, S. N. KUTTY, U. SCHMIDT-OTT, G. E. KAMPMEIER, F. C. THOMPSON, D. A. GRIMALDI, A. T. BECKENBACH, G. W. COURTNEY, M. FRIEDRICH, R. MEIER and D. K. Yeates, 2011. Data from: Episodic radiations in the fly tree of life, PNAS, 108 (14): 5690-5695.
WISZ, M. S., R. J. HIJMANS, J. LI, A. T. PETERSON, C. H. GRAHAM, A. GUISAN and NCEAS PREDICTING SPECIES DISTRIBUTIONS WORKING GROUP, 2008. Effects of sample size on the performance of species distribution models, Diversity and Distributions, 14: 763–773. | ||
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