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Preliminary estimates of Lepidoptera diversity from specific sites in the Neotropics using complementarity and species richness estimators PDF

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Preview Preliminary estimates of Lepidoptera diversity from specific sites in the Neotropics using complementarity and species richness estimators

JournaloftheLepidopterists'Society 53(2),1999,65-71 PRELIMINARY ESTIMATES OF LEPIDOPTERA DIVERSITY FROM SPECIFIC SITES IN THE NEOTROPICS USING COMPLEMENTARITYAND SPECIES RICHNESS ESTIMATORS Michael G. Pogue SystematicEntomologyLaboratory,P. S. I.,Agricultural Research Service, U.S. DepartmentofAgriculture, %DepartmentofEntomology, National MuseumofNaturalHistory, SmithsonianInstitution,Washington, D.C. 20560-0168, USA ABSTRACT. Lepidopterawerecollectedandspeciesrichnessandcomplementarityoruniquenesswerecomparedbetweentworainfor- estsites:Pakitza,PeruandBeni,Bolivia.Thetotalnumberofspeciescollectedfrombothsiteswas 1,879ofwhich60weresharedresultingin acomplementarityof96.8%. Non-parametricequationsandspeciesaccumulationcurvesofHemiceras Guenee (Lepidoptera: Notodontidae) wereusedtocomparespecies richnessbetweenthree rainforestsites, PakitzaandTambopata, PeruandReservaEthnicaWaorani, Onkone Gare,Ecuador.Clusteranalysis,usingcomplementarityvaluesforselectedsiteswasusedtodeterminealtitudinalrelationshipsbetweensitesin CostaRica;relationshipsbetweenforesttypesinBrazil;andfaunaldifferencesamongsitesinwesternAmazoniausingHemiceras. Additionalkeywords: Biodiversity,Notodontidae,Hemiceras, Chao,jackknife. Biodiversity as defined by E. O. Wilson (Reaka- taxa around the globe. After a site has been sampled, Kudlaetal. 1997) is "everything". Biodiversityencom- species richness estimates are used to predict how passes the genes within a single local population or many species were missed during the sampling pro- species, the species within a local community, and cess, thus arriving at an estimated number ofspecies communities comprisingthe diverse ecosytems ofthe basedonthe actualnumberobservedplusthenumber world. Life on earth is supported by the interactions missed. By using species lists, either generated by andproductsproducedbyallotherlifeonearth.With- samplingatasite orfrom museum collections, species outbiodiversitythere wouldbe no life on earth as we composition among sites can be compared. These knowit. Therefore, it is essential that biologists begin comparisons can then be used in setting policy and to document and record biodiversity, whether it be makinginformedconservation and managementdeci- how many species ofinsects are in your backyard to sions. howmanyspecies oftreesin aforesttohowmanyfor- The goals ofthis paperare 1) to emphasize the im- esttypes intheworld. portance ofadequate sampling, 2) to assess whether Anyonewithaninterestinnaturalhistorycanbegin inadequate sampling can still be useful in predicting to study their local biodiversity and to document it. species richness and complementaritybetween study One basic element of biodiversity is to know how sites, and3) toprovide amethodofusingcomplemen- many species are present at aparticular site. This pa- tarity to compare faunal relationships between sites. perwilloutlinehowanyonecanbegintodocumentlo- To accomplish these goals, I compared overall species cal biodiversityby gathering data on species richness richness and complementarity of Lepidoptera from orthe numberofspecies presentat asite ataparticu- two rainforest sites, one in Peru and the other in Bo- larpointin time. Knowingwhat species are present at livia. In addition, I estimated species richness from a site is essential because it is the first step in under- species accumulation curves and non-parametric esti- standing the interactions between the species docu- mators to compare the Hemiceras Guenee (Notodon- mentedandtheirinteractionswithinthelocalcommu- tidae) faunabetween 2 sites in Peruand 1 in Ecuador. nityandecosystem. Finally, museum specimens ofHemiceras were used Presently, no one has much ofan idea exactlyhow for faunal comparisons among sites in Costa Rica, manyspecies arepresenttodayon earth. Estimates of Brazil, andwesternAmazonia, usingcomplementarity the numberofspecies worldwide range from 3 to 100 andclusteranalysis. million (Erwin 1982, 1983, Stork 1988, Hodkinson & Materials and Methods Casson 1991, May1992, RavenandWilson 1992). The studyofspecies richness andcomplementarity, orhow Lepidoptera complementarity in SW Amazo- different species composition is between sites, is es- nia. Lepidopterawerecollectedattworainforestsites: sentialto assessingglobalbiodiversitypatterns. Beni, Boliviaand Pakitza, Peru. The Beni studysite at W To address the question of world insect diversity 14°49'S, 66°28' is40km E ofSanBorja, at250me- onemustgetaccurate estimatesofsite-specificspecies ters elevation. Pakitza is located on the Rio Manu at richness for a variety oftaxa (Colwell & Coddington 11°56'47'1S, 71°17WW within the large drainage 1994), andthen to compare these species liststo mea- basin ofthe Rio Madre de Dios in southeastern Peru, sure relative levels of overlap and richness of these at356m elevation, approximately550km NWofBeni. ( I I I 66 Journalofthe Lepidopterists' Society 40T — — — — t- oHn 1 in1 1 1 I— 1 1 co1 1 m1 1 1 1 1 1 h cm oj eg TrapNights Fig. 1. SpeciesaccumulationcurvesofHemicerasatPakitzaandTambopata,Peru,andOnkoneGare,Ecuador. Samples were collected between August 26-Septem- The complementarity between the two sites is the ber 15, 1987 (Beni) and from September27-October proportion ofthe unique species to the pooled rich- 5, 1987 (Pakitza). Adult moths were collected by UV ness, or light traps, spread, identified to family, sorted to mor- U pho-species, and counted. Voucher specimens have jk been deposited in the National Museum of Natural (3) History, Smithsonian Institution, Washington, D.C. Collecting effort was defined as the number of trap Hemiceras species richness in westernAmazo- nights: 12 and 8 trap nights in Pakitza and Beni, re- nia. The genus Hemiceras (Lepidoptera: Notodonti- spectively. Otherstudies have includedthe numberof dae), representing 245 species, was used as an indica- person-hours spentcollecting (Coddingtonetal. 1991, tor group for estimating species richness at three Robbins et al. 1996), numberofcollecting days (Lou- rainforest sites: Pakitza and Rio Tambopata Research tonetal. 1996), ortrapnights (approximately12hours Station in southeastern Peru, and Onkone Gare, in inlength). Ecuador. The Lepidoptera faunas ofPakitza and Beniwere Rio Tambopata Research Station, at 14°14'S, compared using complementarity (Colwell and Cod- 69°11'W, is located on the Rio Tambopata, 30 air km dington 1994). In comparing two sites, j and k, the SE of Puerto Maldonado, Madre de Dios, Peru, at first site has a species richness of S. and the second 290melevation. Onkone Gare, at00°38'S, 76°36'W,is site has Sk Ifthe number ofspecies in common be- aresearchstationwithinthe ReservaEthnicaWaorani, tween both sites is V.k, then the total species richness Ecuador, at220 m elevation. Tambopatahadatotal of forboth sites is 29 trap nights from November 2-25, 1979 and Sep- tember 16-21, 1990. The 11 trap nights at Onkone s.j,k =s.j + s.k-v.,jk,' (1) GarewereJanuary10, 12, 13-18,25;June20; andJuly 16, 1994. andthe numberofspecies uniquetobothsites (U.k) is Species accumulation curves (Fig. 1) were used to plot the cumulative number ofnew species collected Ujk = Sj + Sk-2V]k. (2) overunit effort (number oftrap nights) at each ofthe Volume 53, Number2 67 Fig.2. LocalitiesofCostaRicansitesusedinclusteranalysisofdissimilaritymatrixinTable3. Fig.3. LocalitiesofSouthAmericansitesusedinclusteranalysesofdissimilaritymatricesinTables4and5. three sites. To extrapolate total species richness from jackknife estimator ofspecies richness is based on the the species accumulation curves at each site, four dif- numberofspecies thatoccurin onlyone sample L, ferent nonparametric equations were compared: 1) Chao 1, 2) Chao2, 3) first-orderjackknife, and4) sec- 1jackknife = S + L(n- 1/n), (6) obs ond-orderjackknife. Chao (1984) developed a simple estimator of the where n is the numberofsamples. true number of species at a given site based on the The second-orderjackknife (Burnham & Overton numberofrare species in the pooled samplej. This is 1978, 1979) is liketheChao2estimatorwhere Listhe consideredanabundance-basedestimatorbecauseitis number ofspecies that occurin only one sample and M based on the number ofspecies that are only repre- is the number ofspecies that occur in exactly two sented by only 1 or 2 individuals to estimate overall samples, species richness. Colwell and Coddington (1994) calledthis Chao 1, 2jackknife Sobs + V2 [L(2n-3)/n- M(n-2)2/n(n- 1)], Chao 1 = So.bs+ a2/2b, (4) (7) where S isthe observednumberofspeciesinasam- where nis the numberofsamples. obs ple, a is the number of species that are only repre- Hemiceras faunal comparisons between three sentedbyone specimen in the pooled sample (single- tropicalregions. SpecieslistsofHemiceraswerecom- tons), and b is the number ofspecies represented by piledfromspecimensinthe NationalMuseumofNatu- two specimens in the pooled sample (doubletons). ral History, Smithsonian Institution, Washington, D.C., This estimatorworks wellwhen the samples contain a and were used to examine faunal relationships among large number ofrare species (Chao 1984), which fre- sites in Costa Rica, Brazil, and western Amazonia. In quentlyoccurs when sampling diverse groups such as Costa Rica, sixsiteswere chosentoseehowaltitude af- insects. fectedspeciescomposition. The siteschosenwereJuan A related estimatoris Chao 2 (Colwell & Codding- Vinas (1500 m), Tuis (732 m), Turrialba (634 m), ton 1994),whichisbasedontheincidenceofrare spe- Guapiles (259 m), La Selva (40 m) and Sixaola River(0 cies amongsamples, m) (Fig. 2). Six sites in Brazil were chosen to examine theeffectofforesttype: thelowlandAmazoniaforestin- Chao 2 = S, +L2/2M, (5) cluded the sites ofSao Paulo de Olivenca (Amazonas) obs and PortoVelho (Rondonia), andthe Atlantic coast for- where L is the number of species that occur in only est sites were Baixo Guandu (Espirito Santo), Campo M one sample, and isthenumberofspeciesthatoccur Bello (Rio de Janeiro), Hansa Humboldt (Santa Cata- in exactlytwo samples. rina), and Santa Catherines (Santa Catarina) (Fig. 3, Jackknife estimators (Burnham & Overton 1978, sites 1-6). Sixsiteswerechosentodeterminefaunalre- 1979) also use the distribution ofspecies among sam- lationships in western Amazonia. They included ples (Colwell & Coddington 1994). The first-order Neblina,Venezuela; Onkone Gare, Ecuador; Sao Paulo 68 Journalofthe Lepidopterists' Society Table1. Comparisonof%complementarityandnumberofspe- Table2. Estimatedtotalspecies richnessofHemicerasspecies ciesofLepidopterabetweenBeni,BoliviaandPakitza,Peru. for4nonparametricestimators. Family %Complementarity Numbersharedspecies Speciesrichness Pakitza Tambopata OnkoneGare estimator Peru Peru Ecuador Microlepidoptera Cosmopterygidae 100.0 50(0) Observed 36 24 22 Tineidae 100.0 113(0) Chao1 43 29 40 Gelechiidae 98.8 167(2) Chao2 39 25 24 Oecophoridae 97.8 324(7) 1Jackknife 41 24 24 Pyralidae/Crambidae 96.8 281 (9) 2Jackknife 39 25 23 Macrolepidoptera Noctuidae 98.6 296(4) Notodontidae 95.2 63(3) Geometridae 93.3 213(14) closer to the observed values than did Chao 1, on Arctiidae 91.5 189(16) abundance-basedestimates (Table2). Hemiceras faunal comparisons between three tropical regions. Costa Bica: The high altitude sites de Olivenca and PortoVelho in Brazil; and Pakitzaand ofJuanVinas andTuis (1500 m and 732 m) were clus- TambopatainPeru (Fig. 3, sites 1-2, 7-10). tered at a dissimilarityvalue of0.389, and the lowalti- Complementarity was calculated between sites. tude sites (0m and40m) ofSLxaolaBiverandLaSelva Thesevalueswere usedto produce dissimilaritymatri- were clustered at a dissimilarity value of 0.571. ceswhichwereconverted,foreasierinterpretation,into Guapiles (259 m) was clusteredwith the low sites at a dendrograms usingclusteranalysis (SYSTAT 1992). dissimilarityvalue of0.667. The high altitude and low altitude sites were clustered at a dissimilarityvalue of Results 0.718. Turrialba (634 m) showed the greatest faunal LepidopteracomplementarityinSWAmazonia. dissimilarity between all other sites at 0.758 (Table 3; Some 38 families ofLepidoptera were collected from Fig. 4). both sites, although onlynine families had numbers of Brazil: The two Amazonian sites of Sao Paulo de speciessufficienttoillustratetrendsincomplementarity. Olivenca and Porto Velhowere clustered at a dissimi- Five ofthese families were Microlepidoptera and the larity value of 0.883. Within the Atlantic Coast sites remaining fourwere Macrolepidoptera. A total of1748 HansaHumboldtand SantaCatherineswere leastdis- specimens representing 933 species were collected at similar (0.600), Campo Bello was most similar to Beni and 1731 specimens representing 1006 species Hansa Humboldt + Santa Catherines (0.724), and from were collected at Pakitza. The pooled species Baixo Guanduwas most dissimilarto the previous At- richness forboth sites (S.k) was 1879, the total number lanticCoastForestsites (0.833). Dissimilaritybetween ofunique species (U. was 1819, resulting in a com- the Amazonia and Atlantic Coast Forests was 0.951 k) plementarityof96.8%. The Microlepidopterafamilies (Table 4; Fig. 5). hadhighercomplementarityvalues (100-96.8%),than Western Amazonia: Pakitza and Tambopata in the Macrolepidopterafamilies (95.2-91.5%), with the southeastern Peru were clustered at a dissimilarity exceptionofthe Noctuidae (98.6%) (Table 1). value of0.766. Neblina, Venezuela and Onkone Gare, Hemiceras species richness inwesternAmazo- Ecuador were clustered at a dissimilarity value of nia. Comparingthe four nonparametric equations for 0.793. Thesefoursiteswereclusteredatadissimilarity estimating species richness of Hemiceras at Pakitza valueof0.806. The faunaofSaoPaulode Olivengahad and Tambopata, Peru, and at Onkone Gare, Ecuador adissimilarityvalue of0.815comparedtotheprevious resulted in Chao 1 estimating the highest number of foursites andPortoVelhos faunawasthe mostdissim- species. The incidence-based estimators (Chao 2 and ilar(0.833) (Table5; Fig. 6). the Jackknifes) consistently estimated total richness Table4. DissimilaritymatrixofcomparisonofBrazilianAmazo- Table3. DissimilaritymatrixofCostaRicanaltitudmalsites. niaandAtlanticCoastForest. JuanVinas SaoPaulode Porto Baixo Campo St. (1500m) Tuis Turrialba Guapiles LaSelva Olivenca Velho Guandu Bello Catherines Tuis(732m) 0.389 PortoVelho 0.883 Turrialba(634m) 0.771 0.758 BaixoGuandu 0.982 0.951 Guapiles(259m) 0.897 0.829 0.960 CampoBello 0.927 0.930 0.833 LaSelva(40m) 0.718 0.730 0.897 0.769 St.Catherines 0.945 1.000 0.867 0.724 SixaolaRiver(0m) 0.794 0.781 0.909 0.667 0.571 HansaHumboldt 0.958 1.000 0.870 0.792 0.600 ) I Volume 53, Number2 69 Turrialba634m (1)- Tuis732m (2) Juan Vinas 1500m(3)- LaSelva40m (4) SixolaRiver m (5) Guapiles259m (6) 0.667 0.758 0.389 0.571 0.718 Fig.4. Dendrogramforclusteranalysisofdissimilaritymatrix(Table3)ofCostaRicansites.NumbersrefertolocalitiesonFig.2.Altitudes areindicatedforeachsite.Thescaleindicatesdissimilarityvalue. Discussion suitable richness estimator) shouldreachanasymptote orremainconstantovertimewithadditionalsampling. Lepidoptera complementarity in SW Amazo- Of the three sites, the species accumulation curve nia. The lower complementarity found in most reached an asymptote, only at Pakitza (Fig. 1), sug- Macrolepidoptera, comparedtothe Microlepidoptera, gesting that the species estimate there should be the may be due to sampling bias; because the collecting most accurate. Although Tambopata is known for the was done by UV light, larger moths may be coming high species richness ofvarious insect groups (Fisher & from a larger collecting universe than the smaller 1985, Paulson 1985, Pearson 1985, Wilkerson moths, because the the larger species are better able Fairchild 1985, Robbins et al. 1996). The Hemiceras to disperse than the smaller ones. The relativelyhigh fauna there is poor, considering that there are 245 complementarity of the Noctuidae is curious given species in the neotropics. Although samples taken at that they are generally strong fliers, medium to large Tambopata and Onkone Garewere insufficient to ac- moths, and many species are known for their migra- curately estimate richness, as shown by the non- tion and wide ranging dispersal abilities. The answer asymptoticspecies accumulationcurves (Fig. 1), itap- maylie in theirdiversity; because these moths are the pears from all the nonparametric estimates, and the most speciose lepidopteran family, the sampling time steeperaccumulationcurve, thatPakitzaisevenricher possible in this preliminary study may be inadequate inHemiceras thanisTambopata. Thatcontrastswith a to accurately assess the ranges of many noctuid spe- study of the faunal relationships between the Ci- cies, resultingin ahighercomplementarityvalue. cadoidea (Homoptera) (Pogue 1996) and Odonata Hemiceras species richness inwesternAmazo- (Louton et al. 1996) at Pakitza and Tambopata, in nia. Toaccuratelyestimate thetotalnumberofspecies which the species richness was greater at Tambopata. of a target taxon (such as Hemiceras) at a particular Thus, eitherthepreliminaryestimateforHemiceras at site the species accumulation curve (or the curve ofa Tambopata is inaccurate, or this study demonstrates SaoPaulodeOlivenca(1 PortoVelho (2) BaixoGuandu (3) CampoBello(4) St.Catherines(5) 5 HansaHumboldt(6) 0.883 -f— h 0.600 0.724 0.833 0.951 Fig.5. Dendrogramforclusteranalysisofdissimilaritymatrix(Table4)ofBrazilianAmazonianandAtlanticCoastForestsites. Numbers refertolocalitiesonFig.3.Thescaleindicatesdissimilarityvalue. — ) 70 Journalofthe Lepidopterists' Society PortoVelho(2) Sao PaulodeOlivenpa(1 Pakitza(7) Tambopata(8) Neblina(9) OnkoneGare(IO) 0.806 0.833 H I I I I 0.766 0.7930.815 Fig.6. Dendrogramforclusteranalysisofdissimilaritymatrix(Table5)ofwesternAmazoniansites. NumbersrefertolocalitiesonFig.3. Thescaleindicatesdissimilarityvalue. that different taxa, with divergent biologies, have dif- taxon can come from collecting, or from using mu- ferent centers ofdiversity. seum collections to obtain faunistic data from specific At the Onkone Gare site in Ecuador it is not clear sites. An advantage ofusing museum collections are whether the species accumulation curve is approach- thedataavailablefrom sitesthatare nolongerpristine, ingan asymptote (Fig. 1) andthere are more rare spe- such as those in Amazonia that were collected more cies (12 singletons) than at the other sites, so the pre- than 50 to 100 years ago. Today, with the destruction diction of 40 species by Chao 1 (Table 3) may be ofthe rain forest, these sights will no longerhave the accurate. Based on the species richness data of same biota. The target taxon has to be common Hemiceras, thefollowingare recommendedforfollow- throughout the study area so it can be easilysampled up studies: 1) collecting effort must be adequate for andthere shouldnotbe adominance ofrare species. the species accumulationcurve, orthe estimate curve, Hemiceras faunal comparisons between three to reach an asymptote, 2) ifthere is apreponderance tropical regions. The six sites in Costa Rica show a of rare species, (singletons) Chao 1 should give the broad altitudinal range from 0-1500 meters. Altitude highest, andperhaps bestestimate, and3) ifthe num- seems toinfluence species composition amongsites in ber ofrare species is low, Chao 2 orthe second-order Costa Rica more than distance between sites. Juan jackknife may give a better estimate. It is also impor- Vinas (1500 m) andTuis (732 m) are the highest sites tantto chooseyourtargettaxon carefully. and are clustered at a dissimilarityvalue of0.389, the To assess taxon richness, targettaxacanbe anycat- lowest ofanypair. Ifdistancewas the significantlimit- egory, an order, family, subfamily, tribe, orgenus. The ingfactoroffaunalcomposition, onewouldexpectthat taxon should be chosen with care. For example, one Tuis and Turrialba would be clustered. The same is that is too speciose requires too much time to process true for the lower altitudinal sites, with La Selva (40 andextrapolatetheneededdata, onewithtoofewspe- m) and Sixaola River (0 m) having the lower dissimi- cies could result in insufficient data. I have found in larityvalue (0.571), even though La Selva is closer to the Neotropics that atarget taxon of200-400 species Guapiles than the Sixaola Riversite (Table 3) (Fig. 4). seems to be large enough so that the species accumu- Analysis ofthe six sites within Brazil were used to lation curve reached an asymptote after 20-30 sam- showiftherewas afaunaldifference betweenAmazo- ples (trap nights, in this case). The dataforthe target nia and the Atlantic Coast forest. The Atlantic Coast sites were clustered (Baixo Guandu to Hansa Hum- boldt) and were quite distinct from the Amazonian fauna (Sao Paulo de Olivenca and Porto Velho) which Table5. DissimilaritymatrixofAmazoniansites. were also clustered. Within the Atlantic Coast Forest Onkone SaoPaulode Porto distance seems to be influencing the faunal relation- Neblina Gare Olivenca Velho Pakitza ships. Hansa Humboldt and Santa Catherines were OnkoneGare 0.793 S.P. DeOlivenca 0.918 0.873 most faunistically similar and closest in distance. PortoVelho 0.947 0.886 0.883 Campo Belloshows similaritywith HansaHumboldt + Pakitza 0.860 0.863 0.831 0.833 Santa Catherines and is closer than Baixo Guandu, Tambopata 0.806 0.821 0.815 0.915 0.766 which is the most dissimilar and furthest from these Volume 53, Number 2 71 ntawlodsiitfefs.erCelnucsetebreatnwaelyesnisAimnadizcoanteisathaantdthtehreeAistlaanftaiu-c Coddnianrgatnodna,&J.S.A.F,.CL.arEc.heGrr.is1w9o9l1.d,DeDs.igSniilnvgaaDnadvitleas,tinEg.saPme-- plingprotocolstoestimatebiodiversityintropicalecosystems, Coast Forest (Table 4) (Fig. 5). pp.44-60.InE.C. Dudley(ed.),Theunityofevolutionarybi- Amazonia is often treated as one large biogeo- ology:ProceedingsoftheFourthInternationalCongressofSys- graphical area, butjust how different are sites within tematicandEvolutionaryBiology. DioscoridesPress,Portland, Oregon. 1048pp. Amazonia?Amongthe sixAmazonianlocalities dissim- Colwell, R. K. & A.Coddington. 1994. Estimatingterrestrial J. ilarities (Table5) seemedstronglyaffectedbydistance biodiversitythroughextrapolation. Philos.Trans. R. Soc. Lon- don345:101-118. and habitat. Pakitza and Tambopata, both in south- Erwin, T L. 1982. Tropical forests: their richness in Coleoptera eastern Peru clustered, as did Onkone Gare, Ecuador andotherarthropodspecies.Coleopts. Bull.36:74-75. and Neblina, Venezuela which are similar in habitat . 1983. Beetlesandotherinsectsoftropicalforestcanopies despite being approximately 1160 km distant from IatnMS.anLa.uSsu,ttBorna,ziTl,Cs.aWmhplietsmobryein&seAc.tiCc.idCahlafdowggiicnkg,(epdps..),59T-r7o5p.- each other. Taken together these western Amazonia icalrainforestecologyandmanagement.Oxford,BlackwellSci- sites appeartoform aregion (Fig. 3), perhapsbecause entificPublications.498pp. they lie along the eastern edge of the Andes. Porto FisheAsri,liEd.aeM).of19t8h5e.TAampbreolpiamtianarRyesliesrtvoefdthZeornoeb,beMradflriees(dDeipDtieorsa:, Velho was less faunistically similar to Sao Paulo de Peru. Rev.Peru. Entomol.27:25-36. Olivengathanto Pakitza. Hodkinson, I. D. & D. Casson. 1991. A lesser predilection for These studies from Costa Rica to Bolivia demon- bugs;Hemiptera(Insecta)diversityintropicalrainforests.Biol. stratethatsite-specificdataanalysisis aprerequisiteto LoutJo.nL,inJn..A.S,ocR..4W3:1G0a1r-r1i09s.on&O. S. Flint. 1996. TheOdonata athoroughunderstandingofregionalbiodiversitypat- ofParque Nacional Manu, Madre de Dios, Peru; naturalhis- terns.Themethodspresentedabovewereusefulinas- stiotreys,,spppe.ci4e3s1-r4i4c9h.nesIsn Da.ndE.coWmiplasroinso&nsA.wiStahndootvhaelr(Pedesr.u)v,iLaan sessing biodiversity on a site by site basis, and once biodiversidad del sureste del Peru: Manu (Biodiversity of similar data from other studies and other organisms SoutheasternPeru).EditorialHorizonte,Lima,Peru.679pp. are pooled, it maybe possible to predict complemen- May, R. M. 1992. Howmanyspecies inhabitthe Earth? Sci. Am. 267(4):42-48. taritybetween and among sites and to predict species Paulson, D. R. 1985. OdonataoftheTambopataReservedZone, numbers at other sites. Complementarity, or distinct- MadredeDios,Peru. Rev.Peru. Entomol.27:9-14. ness ofspecies assemblages among sites can be used Pearosfont,heDT.aLm.bo19p8a5t.aTRheesetrivgeerdbZeoentele,sM(aCdolreeopdteerDai:osC,icPienrdue.liRdeave.) with cluster analysis to predict complementarity be- Peru. Entomol.27:15-24. tween a wide variety of parameters such as biogeo- Pogue, M. G. 1996. Biodiversity ofCicadoidea (Homoptera) of graphic, habitat differences, or host plant specificity. PPaekriut:zaa,fMauannalucRoemspearrviesdonZ,opnpe.a3n1d3-T3a2m5b.opInatDa.REe.sWeirlvseodnZo&neA,. Usingspecies richness estimates, complementarityval- Sandoval (eds.), Labiodiversidaddel sureste del Peru: Manu ues, and species lists generated from biodiversity in- (BiodiversityofSoutheasternPeru).EditorialHorizonte,Lima, ventories canbeusefulforbiologists andconservation- RavePne,ruP..H6.79&ppE.. O.Wilson. 1992. Afifty-yearplanforbiodiver- ists to make more informed decisions about land use sitysurveys. Science258:1099-1100. andconservation. Reaka-Kudla,M.L.,D.E.Wilson&E.O.Wilson. 1997. Biodi- versity II: understanding and protecting our biological re- Acknowledgments sources.TheNationalAcademyofSciences.JohnHenryPress, IwouldliketothankTerryL. Erwinforhissupportofthisproj- RorbWianssh,iRn.gtKo.,n,GD.LCa.ma5s5,1Op.p.H.H.Mielke,D. Harvey&M. M. J. ectandforprovidingtimeinthefieldforcollectingandprocessing Casagrande. 1996. Taxonomic composition and ecological material. Forcriticallyreviewingadraftofthispaper,IthankMarc structure ofthe species-rich butterfly community at Pakitza, E. EpsteinandJerryA. Louton, SmithsonianInstitution,Washing- ParqueNacionaldelManu,Peru,pp.217-252.InD.E.Wilson ton, D.C., and M. Alma Solis, Stuart H. McKamey and David R. & A. Sandoval (eds.), La biodiversidad del sureste del Peru: Smith, SystematicEntomologyLaboratory,Washington,D.C., Eric Manu(BiodiversityofSoutheasternPeru).EditorialHorizonte, H.Metzler,Columbus,Ohio,andDeaneBowers,UniversityofCol- Lima,Peru.679pp. orado, Boulder, Colorado. Funding was provided by the Smith- Stork, N. E. 1988. Insectdiversity: facts, fictionandspeculation. sonianInstitution'sBIOLATProgram. Biol. Linn. Soc.35:321-337. J. SYSTAT 1992. Statistics, version 5.2 edition. SYSTAT Inc., Burnahcalmo,seKd.poP.pu&laWt.iLoiSn.twOheverenratctoaunp.truer1e9C7p8ri.obtaEebsidtliitmiaetsivoanroyfatmhoensgizaenio-f WilkgEeeevrrnaesennorscinteco,tnko,eRty.IhletlCoiT.ntoaihms&e.bTo7aGp2ba4atnpBaip..dRaeFesaei(rrDvicephtdielZrdoa.)neo,1f9M8P5ae.rdurAewidtcehheDscipkoelscii,satPlearrenufd.- mals. Biometrika65:623-633. 1979. Robustestimationofpopulationsizewhencapture Rev.Peru.Entomol.27:37-53. Chaop,robAa.bil1i9t8i4e.svNaorny-apmaoranmgetanriimcalse.stEicmoatlioogny6o0f:9t2h7e-9n36u.mber of Receivedforpublication24July1998; revisedandaccepted9April 1999. classesinapopulation. Scand. Statistics 11:265-270. J.

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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.