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PLOS ONE 2012

Selecting Biological Meaningful Environmental Dimensions of Low Discrepancy among Ranges to Predict Potential Distribution of Bean Plataspid Invasion

DOI: 10.1371/journal.pone.0046247

Gengping Zhu, Matthew J. Petersen, Wenjun Bu

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Abstract:

Background The Bean plataspid (Megacopta cribraria) (Hemiptera: Pentatomidae), native to Asia, is becoming an invasive species in North America; its potential spread to soybean producing areas in the US is of great concern. Ecological niche modelling (ENM) has been used increasingly in predicting invasive species' potential distribution; however, poor niche model transferability was sometimes reported, leading to the artifactual conclusion of niche differentiation during species' invasion. Methodology/Principals We aim to improve the geographical transferability of ENM via environmental variable selection to predict the potential distribution of Bean plataspid invasion. Sixteen environmental dimensions between native and introduced Bean plataspid populations were compared, and classified into two datasets with different degrees of discrepancy by the interquartile range (IQR) overlap in boxplot. Niche models based on these two datasets were compared in native model prediction and invading model projection. Classical niche model approaches (i.e., model calibrated on native range and transferred outside) were used to anticipate the potential distribution of Bean plataspid invasion. Conclusions/Significance Niche models based on the two datasets showed little difference in native model predictions; however, when projecting onto the introduced area, models based on the environmental datasets showing low discrepancy among ranges recovered good model transferability in predicting the newly established population of Bean plataspid in the US. Recommendations were made for selecting biological meaningful environmental dimensions of low discrepancy among ranges to improve niche model transferability among these geographically separated areas. Outside of its native range, areas with invasion potential include the southeastern US in North America, southwestern Europe, southeastern South America, southern Africa, and the eastern coastal Australia.

References

[1]	Peterson AT (2003) Predicting the geography of species' invasions via ecological niche modeling. Quarterly Review of Biology 78: 419–433.
[2]	Liu X, Guo Z, Ke Z, Wang S, Li Y (2011) Increasing potential risk of a global aquatic invader in europe in contrast to other continents under future climate change. PLoS ONE 6: e18429.
[3]	Jiménez-Valverde A, Peterson AT, Soberón J, Overton JM, Aragón P, et al. (2011) Use of niche models in invasive species risk assessments. Biological Invasions 13: 2785–2797.
[4]	Zhu G, Bu W, Gao Y, Liu G (2012) Potential geographic distribution of Brown Marmorated Stink Bug invasion (Halyomorpha halys). PLoS ONE 7: e31246.
[5]	Araújo MB, Whittaker RJ, Ladle RJ, Erhard M (2005) Reducing uncertainty in projections of extinction risk from climate change. Global Ecology and Biogeography 14: 529–538.
[6]	McCormack JE, Zellmer AJ, Knowles LL (2010) Does niche divergence accompany allopatric divergence in Aphelocoma jays as predicted under ecological speciation? Insights from tests with niche models. Evolution 64: 1231–1244.
[7]	Pearson RG (2007) Species' distribution modeling for conservation educators and practitioners. Synthesis American Museum of Natural History. URL: http://ncep.amnh.org. Accessed 2011 October 10.
[8]	Peterson AT, Soberón J, Sánchez-Cordero V (1999) Conservatism of ecological niches in evolutionary time. Science 285: 1265–1267.
[9]	Grinnell J (1917) The niche-relationships of the California thrasher. Auk 34: 427–433.
[10]	Grinnell J (1924) Geography and evolution. Ecology 5: 225–229.
[11]	Broennimann O, Treier UA, Müller-Sch？rer H, Thuiller W, Peterson AT, et al. (2007) Evidence of climatic niche shift during biological invasion. Ecology Letters 10: 701–709.
[12]	Fitzpatrick MC, Weltzin JF, Sanders NJ, Dunn RR (2007) The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range? Global Ecology and Biogeography 16: 24–33.
[13]	Gallagher RV, Beaumont LJ, Hughes L, Leishman MR (2010) Evidence for climatic niche and biome shifts between native and novel ranges in plant species introduced to Australia. Journal of Ecology 98: 790–799.
[14]	Medley KA (2010) Niche shifts during the global invasion of the Asian tiger mosquito, Aedes albopictus Skuse (Culicidae), revealed by reciprocal distribution models. Global Ecology and Biogeography 19: 122–133.
[15]	Menke SB, Holway DA, Fisher RN, Jetz W (2009) Characterizing and predicting species distributions across environments and scales: Argentine ant occurrences in the eye of the beholder. Global Ecology and Biogeography 18: 50–63.
[16]	Feeley KJ, Silman MR (2011) Keep collecting: accurate species distribution modelling requires more collections than previously thought. Diversity and Distributions 17: 1132–1140.
[17]	Peterson AT, Nakazawa Y (2008) Environmental data sets matter in ecological niche modelling: an example with Solenopsis invicta and Solenopsis richteri. Global Ecology and Biogeography 17: 135–144.
[18]	R？dder D, Schmidtlein S, Veith M, L？tters S (2009) Alien invasive slider turtle in unpredicted habitat: a matter of niche shift or of predictors studied? PLoS ONE 4: e7843.
[19]	Mandle L, Warren DL, Hoffmann MH, Peterson AT, Schmitt J, et al. (2010) Conclusions about niche expansion in introduced Impatiens walleriana populations depend on method of analysis. PLoS ONE 5: e15297.
[20]	Soberón J, Peterson AT (2011) Ecological niche shifts and environmental space anisotropy: a cautionary note. Revista Mexicana de Biodiversidad 82: 1348–1355.
[21]	R？dder D, L？tters S (2009) Niche shift versus niche conservatism? Climatic characteristics of the native and invasive ranges of the Mediterranean house gecko (Hemidactylus turcicus). Global Ecology and Biogeography 18: 674–687.
[22]	Peterson AT (2011) Ecological niche conservatism: a time-structured review of evidence. Journal of Biogeography 38: 817–828.
[23]	Rabitsch W (2008) Alien true bugs of Europe (Insecta: Hemiptera: Heteroptera). Zootaxa 1827: 1–44.
[24]	Eger JEJ, Ames LM, Suiter DR, Jenkins TM, Rider DA, et al. (2010) Occurrence of the Old World bug Megacopta cribraria (F.) (Heteroptera: Plataspidae) in Georgia: A serious home invader and potential legume pest. Insecta Mundi 0121: 1–11.
[25]	Fent M, Kment P (2011) First record of the invasive western conifer seed bug Leptoglossus occidentalis (Heteroptera: Coreidae) in Turkey. North-Western Journal of Zoology 7: 72–80.
[26]	Jenkins TM, Eaton TD (2011) Population genetic baseline of the first plataspid stink bug symbiosis (Hemiptera: Heteroptera: Plataspidae) reported in North America. Insects 2: 264–272.
[27]	Kikkuchi A, Kobayashi H (2010) Effect of injury by adult Megacopta punctatissima (Montandon) (Hemiptera: Plataspidae) on the growth of soybean during the vegetative stage of growth. Japanese Journal of Applied Entomology and Zoology 54: 37–43.
[28]	USDA (2010) Invasive insect (Bean plataspid) poses risk to soybean crops and infests homes in southeastern states. U.S. Dept. of Agriculture, Animal and Plant Health Inspection Service, Plant Protection and Quarantine Factsheet. URL: http://www.aphis.usda.gov/publications/. Accessed 2011 October 10.
[29]	Suiter DR, Ames LM, Eger JEJ, Gardner WA (2010) Megacopta cribraria as a nuisance pest. URL: http://www.caes.uga.edu/publications/. Accessed 2011 October 10.
[30]	Gazetteer of China (1997) Sinomaps Press, Beijing, China.
[31]	APHIS (2004) NAPIS PestTracker: A public website of the NAPIS/CAPS database. URL: http://www.ceris.purdue.edu/napis/. Accessed 2011 October 10.
[32]	Montandon AL (1896) Plataspidinae. Nouvelle série détudes et descriptions. Annales de la Société Entomologique de Belgique 40: 86–134.
[33]	Montandon AL (1897) Les Plataspidines du Muséum dhistoire naturelle de Paris. Annales de la Société Entomologique de France 1896: 436–464.
[34]	Yang WI (1934) Revision of Chinese Plataspidae. Bulletin of the Fan Memorial Institute of Biology 5: 137–236.
[35]	Hosokawa T, Kikuchi Y, Nikoh N, Shimada M, Fukatsu T (2006) Strict host-symbiont cospeciation and reductive genome evolution in insect gut bacteria. PLoS Biology 10: 1841–1851.
[36]	Veloz SD (2009) Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models. Journal of Biogeography 36: 2290–2299.
[37]	Nu？ez MA, Medley KA (2011) Pine invasions: climate predicts invasion success; something else predicts failure. Diversity and Distributions 17: 703–713.
[38]	Rangel TF, Diniz-Filho JAF, Bini LM (2006) Towards an integrated computational tool for spatial analysis in macroecology and biogeography. Global Ecology and Biogeography 15: 321–327.
[39]	Tayutivutikul J, Yano K (1990) Biology of insects associated with the kudzu plant, Pueraria lobata 2. Megacopta punctissimum (Hemiptera: Plataspidae). Japanese Journal of Entomology 58: 533–539.
[40]	Li YH, Pan ZS, Zhang JP, Li WS (2001) Observation on the biological property of Megacopta cribraria (F.). Plant Protection Technology and Extension 21: 11–12.
[41]	Chen Q, Wang JL, Guo SJ, Bai HX, Zhuo XN (2009) Study on the biological property of Megacopta cribraria (F.). Journal of Henan Agricultural Science 4: 88–90.
[42]	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.
[43]	Kriticos DJ, Webber BL, Leriche A, Ota N, Macadam I, et al. (2011) CliMond: global high resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods in Ecology and Evolution 3: 53–64.
[44]	Upton G, Cook I (1996) Understanding Statistics. Oxford University Press. p. 55.
[45]	Warren DL, Glor RE, Turelli M (2008) Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution. Evolution 62: 2868–2883.
[46]	Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling 190: 231–259.
[47]	Phillips SJ, Dudik M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161–175.
[48]	Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, et al. (2011) A statistical explanation of MaxEnt for ecologists. Diversity and Distributions 17: 43–57.
[49]	Elith J, Graham CH, Anderson RP, Dudik M, Ferrier S, et al. (2006) Novel methods improve prediction of species distributions from occurrence data. Ecography 29: 129–151.
[50]	Pearson RG, Raxworthy CJ, Nakamura M, Peterson AT (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography 34: 102–117.
[51]	Elith J, Kearney M, Phillips S (2010) The art of modelling range-shifting species. Methods in Ecology and Evolution 1: 330–342.
[52]	Swets JA (1988) Measuring the accuracy of diagnostic systems. Science 240: 1285–1293.
[53]	Peterson AT, Papes M, Eaton M (2007) Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent. Ecography 30: 550–560.
[54]	Pearson RG, Thuiller W, Araújo MB, Martínez-Meyer E, Brotons L, et al. (2006) Model-based uncertainty in species range prediction. Journal of Biogeography 33: 1704–1711.
[55]	Waltari E, Hijmans RJ, Peterson AT, Nyári áS, Perkins SL, et al. (2007) Locating Pleistocene refugia: comparing phylogeographic and ecological niche model predictions. PLoS ONE 2: e563.
[56]	Marmion M, Parviainen M, Luoto M, Risto K, Heikkinen RK, et al. (2009) Evaluation of consensus methods in predictive species distribution modeling. Diversity and Distributions 15: 59–69.
[57]	Stockwell DRB, Peters DP (1999) The GARP modeling system: problems and solutions to automated spatial prediction. International Journal of Geographical Information Systems 13: 143–158.
[58]	Brito JC, Santos X, Pleguezuelos JM, Sillero N (2008) Inferring evolutionary scenarios with geostatistics and geographical information systems for the viperid snakes Vipera latastei and Vipera monticola. Biological Journal of the Linnean Society 95: 790–806.
[59]	Ficetola GF, Thuiller W, Padoa-Schioppa E (2009) From introduction to the establishment of alien species: bioclimatic differences between presence and reproduction localities in the slider turtle. Diversity and Distributions 15: 108–116.
[60]	Zhang SM (1985) Economic insect fauna of China, Fascicle 31, Hemiptera (1). Science press, Beijing, China.
[61]	Soberón J, Peterson AT (2005) Interpretation of models of fundamental ecological niches and species' distributional areas. Biodiversity Informatics 2: 1–10.
[62]	Sillero N (2011) What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods. Ecological Modelling 222: 1343–1346.
[63]	Godsoe W (2010) Regional variation exaggerates ecological divergence in niche models. Systematic Biology 59: 298–306.
[64]	Fukatsu T, Hosokawa T (2002) Capsule-transmitted gut symbiotic bacterium of the Japanese common plataspid stinkbug, Megacopta punctatissima. Applied and Environmental Microbiology 68: 389–396.
[65]	Fitzpatrick MC, Hargrove WW (2009) The projection of species distribution models and the problem of non-analog climate. Biodiversity and Conservation 18: 2255–2261.
[66]	Heikkinen RK, Marmion M, Luoto M (2012) Does the interpolation accuracy of species distribution models come at the expense of transferability? Ecography 35: 276–288.
[67]	Zurell D, Elith J, Schr？der B (2012) Predicting to new environments: tools for visualizing model behaviour and impacts on mapped distributions. Diversity and Distributions doi: 10.1111/j.1472-4642.2012.00887.x.
[68]	Araújo MB, New M (2007) Ensemble forecasting of species distributions. Trends in Ecology and Evolution 22: 42–47.
[69]	Beaumont LJ, Gallagher RV, Thuiller W, Downey PO, Leishman MR, et al. (2009) Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions. Diversity and Distributions 15: 409–420.

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