Abstract In our study of bat diversity in the Amazon Basin, we cap- tured bats in undisturbed continuous forest and in forest fragments at the Biological Dynamics of Forest Fragments Project (BDFFP) near Manaus, Brazil, from January 1996 until July 1999. We recorded 72 species of bats in a sample of more than 7700 individuals caught during 29,900 mistnet hours in terra-firme forest. Species accumulation curves and mathematical estimates of species numbers based on the number of species captured with standardized methodology suggest that we sampled about 95% of the entire expected bat fauna of the area, including aerial insectivorous bats. Our results are similar to those of other mistnetting inventories of Amazonian bat assemblages in terms of species composition and number of species per bat family. Some species consid- ered widespread in Central Amazonia and expected at our study site were not recorded. We interpret their absence as effects of sampling bias and of local ecological conditions. We know from acoustic monitoring (i.e., identification of bats by their echolocation calls) that our mistnet data are incomplete for aerial insectivorous species. We conclude that the development of comprehensive inventories of key verte- brate taxa such as bats derived from a combination of several standardized sampling procedures is essential to develop meaningful, conservation-oriented plans for land-use and management of protected areas. Resumo Em nosso estudo sobre diversidade de morcegos na Bacia Amaz?nica, n?s capturamos morcegos em floresta cont?nua n?o perturbada e em fragmentos florestais no Projeto Din?mica Biol?gica de Fragmentos Florestais (PDBFF), pr?ximo ? Manaus, Brazil, de Janeiro de 1996 at? Julho de 1999. N?s registramos 72 esp?cies de morcegos capturando cerca de 7700 indiv?duos em 29,900 horas de captura em ?reas de terra-firme. As curvas de acumula??o e modelos matem?ticos baseados no n?mero de esp?cies capturadas com metodologia estandartizada indicam que n?s regis- tramos cerca de 95% da fauna esperada para a ?rea, incluindo as capturas de esp?cies de morcegos a?reos inset?voros. Nossos resultados s?o equivalentes a outros invent?rios baseados em redes de captura de morcegos na Amaz?nia, em termos de composi??o de esp?cies e em n?mero de esp?cies para cada fam?lia de morcegos. Algumas esp?cies consider- adas como uniformemente distribu?das na regi?o Amaz?nica e que deveriam tamb?m ocorrer na nossa ?rea de estudo n?o foram coletadas. N?s interpretamos a aus?ncia de esp?cies esperadas como um efeito de limita??es na metodologia e devido a condi??es ecol?gicas locais. Sabemos por moni- toramento ac?stico (identifica??o de morcegos atrav?s dos sinais de ecoloca??o), que nossos dados de redes de captura est?o incompletos para morcegos inset?voros a?reos. N?s conclu?mos que o desenvolvimento de invent?rios de grupos A Biodiversity Assessment of Bats (Chiroptera) in a Tropical Lowland Rainforest of Central Amazonia, Including Methodological and Conservation Considerations Erica M. Sampaio1,6,7, Elisabeth K. V. Kalko2,5,6, Enrico Bernard3,7, Bernal Rodr?guez-Herrera4,7 and Charles O. Handley Jr.6? 1University of T?bingen, Animal Physiology, Auf der Morgenstelle 28, 72076 T?bingen, Germany 2University of Ulm, Experimental Ecology, Ulm, Germany 3Department of Biology, York University, Toronto, Ontario, Canada 4Costa Rica National Museum, Natural History, San Jos?, Costa Rica 5Smithsonian Tropical Research Institute, Balboa, Panam? 6National Museum of Natural History, Washington, D. C., USA 7Biological Dynamics of Forest Fragments Project, INPA, Manaus, AM, Brazil Studies on Neotropical Fauna and Environment 0165-0521/03/3801-017$16.00 2003, Vol. 38, No. 1, pp. 17?31 ? Swets & Zeitlinger Received: 3 August 2000 Accepted: 21 August 2002 Correspondence: E. K. V. Kalko, University of Ulm, Experimental Ecology, Albert-Einstein Allee 11, 89069 Ulm, Germany. Fax: +49-731- 50-22683; E-mail: elisabeth.kalko@biologie.uni-ulm.de 18 E.M. Sampaio et al. chave, como morcegos, com a combina??o de v?rios m?todos de amostragem estandardizados ? essencial para o desenvolvimento de planos conservationistas significativos no uso da terra e no controle de ?reas protegidas. Keywords: Chiroptera, inventories, mistnets, sampling methods, conservation, Central Amazonia. Introduction Mammalian diversity in the region of the Brazilian Amazon is very high with about 320 species currently recognized (Fonseca et al., 1996; Voss & Emmons, 1996; Emmons & Feer, 1997). Bats (Chiroptera) account for around 40% of this diversity (see Koopman, 1993; Marinho-Filho & Sazima, 1998). Overall, the region of the Brazilian Amazon, along with the Guyana region (Brosset et al., 1996; Simmons & Voss, 1998; Cosson et al., 1999; Lim & Engstrom, 2001), holds one of the most diverse bat faunas in the Neotropics (e.g., Mok et al., 1982; dos Reis & Peracchi, 1987; Hutterer et al., 1995; Voss & Emmons, 1996; Bernard & Fenton, 2002). Because of the global biodiversity crisis, caused mainly by anthropogenic habitat destruction and degradation, the search for answers to the questions: ?Which species rely on undisturbed forests? and ?Which species readily adapt to dis- turbed habitats?? is becoming increasingly important. In this context, detailed studies on the diversity of local species assemblages are crucial, particularly in forests that are seri- ously affected by the continuing increase of the human pop- ulation and consequent urbanization and land conversion processes (Dale et al., 1994; Ferreira & Laurance, 1996; Granjon et al., 1996; Whitmore, 1997; Gascon & Lovejoy, 1998; Laurance et al., 1998). Studies on diversity related to conservation issues are needed to develop and apply efficient management programs to preserve and maintain the remain- ing diversity. However, our knowledge of species diversity is still poor for many taxa. Faunal inventories in the Amazon Basin continue to uncover new species even in well-studied groups such as primates (Ferrari & Lopes, 1992; Mittermeier et al., 1992; Queiroz, 1992; van Roosmalen et al., 1998). There is increasing evidence that Neotropical bat assem- blages are strongly affected by habitat alterations. A common result is the loss of rarer and specialized species and an increase in abundance of a few generalists (Fenton et al., 1992; Simmons & Voss, 1998; Cosson et al., 1999). However, we cannot be sure yet about the overall effects of habitat alterations on bats because most inventories of bat faunas are limited to few sites and to mistnetting at ground level. Adding other methods such as mistnetting in higher forest strata result in a more complete list of species present (e. g., Simmons & Voss, 1998; Kalko & Handley, 2001; Bernard, 2001). To increase our knowledge about the bats in the Amazon Basin we applied canopy- and ground-level mistnets to inventory bat assemblages near Manaus, Brazil, in the area of the Biological Dynamics of Forest Fragments Project, BDFFP (Bierregaard et al., 1997). Here, we pool the data of two projects that were conducted in parallel at the BDFFP to give a first overview of local species composition. Mistnetting during a period of more than three years revealed new records for some bat species and new information on the distribution patterns of others. To evaluate the quality of our inventory data, we applied the concept of species accumulation curves (Gotelli & Graves, 1996) and species richness estimators (Colwell & Coddington, 1996) and discuss differences between number of recorded and expected species. Detailed analysis of the individual projects are given in subsequent publications (e.g., Bernard, 2001; Berhard & Fenton, 2002). Materials and methods Study area The Biological Dynamics of Forest Fragments Project (BDFFP; Fig. 1), formerly the Minimum Critical Size of Ecosystems project, MCSE (Lovejoy & Bierregaard, 1990), is a cooperative project between the Instituto Nacional de Pesquisas da Amaz?nia (INPA) and the Smithsonian Institution, Washington, D. C. (USA), represented by the Smithsonian Tropical Research Institute (STRI) in Panam?. The research area is located 80km north of Manaus (2?24?S, 59?43?W, 2?25?S, 59?45?W; Lovejoy & Bierregaard, 1990). The predominant habitat in this region of the Amazon Basin is unflooded, lowland primary forest (terra-firme). The soils are well-drained, nutrient-poor, yellowish latosols (Chauvel, 1983). The BDFFP area receives between 2200 and 2600mm of annual precipitation that mostly falls during the rainy season from January to May. The dry season usually extends from June to December. Canopy height is between 30 and 37m with emergent trees reaching 50m. The dominant trees belong to the families Chrysobalanaceae, Lecythidaceae, Sapotaceae, Leguminosae, Burseraceae, and Bombacaceae (Gentry, 1990; Prance, 1990; Rankin- De-Merona et al., 1992). The ground level is dominated by palms (Scariot, 1999) of the genera Astrocaryum, Attalea, and Bactris. Flowering and fruiting peaks usually occur in the dry and rainy season, respectively (Rankin-De-Merona et al., 1992). Mistnetting of bats We set mistnets at ground level and in the canopy following standardized procedures. Project 1 (Effects of forest frag- mentation on bat assemblages) spanned three and a half years (January 1996?June 1999), covering three consecutive rainy and dry seasons. Project 2 (Vertical stratification of bats) ran for one year, from August 1996 to August 1997. We avoided sampling during third-quarter and full moon when light intensity is usually high and bat activity is mostly low Bat Species Richness in Amazonia 19 (Crespo et al., 1972; Morrison, 1978). All mistnets were 12 m long and 2.5m high, with four shelves and mesh dimen- sions of 1.5?3 ? 1.5?3cm. We calculated capture effort for each sampling area in mistnet hours. One mistnet hour (mnh) corresponds to one 12-m mistnet open for one hour. Ground nets were tied to poles, with the first shelf string at ground level. Canopy nets were set in treefall gaps by using a pulley system following the technique described by Humphrey et al. (1968), a system successfully applied in previous bat studies (Handley, 1967; Kalko & Handley, 2001). After capture, we removed bats from the mistnets and placed them temporar- ily in soft cloth bags. Bats were identified using a dichoto- mous key for the bats of the Amazon Basin developed by Handley, Sampaio, and Kalko (unpublished). The taxonomy used herein follows Koopman (1993), with the exception of Anoura caudifer, Artibeus (Koopmania) concolor, Eptesicus chiriquinus, Glyphonycteris daviesi, Glyphonycteris sylve- stris, Lampronycteris brachyotis, and Trinycteris nicefori that follow the classification of Simmons & Voss (1998) and the subdivision of the genus Tonatia into Lophostoma and Tonatia proposed by Lee et al. (2002). With the exception of rare species or species whose identification was problematic, all bats were released at the respective capture sites. Bats collected for further identification and a few individuals that died during handling were fixed in 10% formaldehyde and preserved in 70% alcohol as voucher specimens (Handley, 1988). Vouchers (n = 124) were sent for identification to the National Museum of Natural History (NMNH), Washington, DC (USA) and were sub- sequently deposited in the INPA collection in Manaus for further reference (Table 1). Project 1 In Project 1, we collected bats with mistnets set at ground level in a variety of habitat types. We sampled bats on standardized transects in three replicates each of 1 and 10ha forest fragments (Colosso, Dimona, and Porto Alegre) and in three replicates each of 1 and 10ha plots embedded in continuous forest (Cabo Frio, Florestal, and km 41) resulting in a total of 12 study sites (Fig. 1). The transects design was adapted to the existing trail system which consisted of parallel lanes crossing the fragments or plots in N?S direction. Seven 12-m mistnets were set. The capture effort for each replica was about 150mnh per mistnet night. In addition to the transects, we repeatedly collected bats with ground mistnets in three different pasture areas, in sec- ondary growth composed of Vismia sp. and Cecropia sp., and at three forest edges, penetrating up to 400m into continu- ous forest. We opened the nets from 18:00 until 24:00 and patrolled them at 20-minute intervals. The total capture effort in project 1 amounted to 28,000mnh. In addition to the tran- sects, we occasionally set nets in the BDFFP area across streams or near water and in front of potential bat roosts. We also netted outside the BDFFP near the road ZF2 leading to silvicultural research sites of EMBRAPA (Brazilian Agricultural Research Corporation) and at the entrances of caves near the village of Presidente Figueiredo about 100km Manaus K m 41 Rio Solim? es Flo restal G avi?o C abo Frio Po rto Alegre Di mona B r 1 7 4 Z F - 0 3 C olosso 300 1500 3000 Scale Meters N Geo Rio Urubu 60 05? 00? W 60 00? 00? W 59 55? 00? W 59 50? 00? W 59 45? 00? W 59 40? 00? W O O 02 2 0? 0 0? S O 02 2 5? 0 0? S O OOO O O Forest Clear cut Camp Roads Drainage River Stream L e g e n d Lake Highway Farm Road Unpaved Road Biological Dynamics of Forest Fragments Project reserves Source: INPE Landsat TM 5,4,3 - RGB, 1995. Prepared in June 1998 by Venticinque, E. M. and Fernandes, T. L. N. Fig. 1. Experimental area of the Biological Dynamics of Forest Fragmentation Project, about 90 km north from Manaus, Amazonian, Brazil. Map obtained by BDFFP office. Used with permission of the authors. 20 E.M. Sampaio et al. Table 1. Specimens collected during the field work and deposited at the mammal collection of the Zoological Museum at INPA, Manaus (Dr. Maria Nazareth Pereira da Silva, curator). The data given are: INPA number, species, locality1, collector2, and date. INPA 2493, Lasiurus cf. castaneus, ?PDBFF, km 41?, C. O. H., 26.01.96; INPA 2494, Lasiurus cf. castaneus, ?PDBFF, km 41?, C. O. H., 26.01.96; INPA 2495, Centronycteris maximiliani, ?PDBFF, CO?, E. M. S., 16.02.96; INPA 2496, Phyllostomus latifolius, Pres. Fig., C. O. H., 19.11.97; INPA 2497, Phyllostomus latifolius, Pres. Fig., C. O. H., 19.11.97; INPA 2498, Lionycteris spurrelli, ?PDBFF, GA?, E. B., 12.04.97; INPA 2499, Micronycteris microtis, ?PDBFF, GA?, E. B., 07.02.97; INPA 2500, Trinycteris nicefori, ?PDBFF, GA?, E. B., 13.02.97; INPA 2501, Micronycteris schmidtorum, ?PDBFF, GA?, E. B., 06.08.97; INPA 2502, Centronycteris maximiliani, ?PDBFF, GA?, E. B., 30.04.97; INPA 2503, Cynomops abrasus, ?PDBFF, km 41?, E. B., 01.02.97; INPA 2504, Peropteryx leucopterus, ?PDBFF, FLO?, E. M. S., 26.08.97; INPA 2505, Carollia brevicauda, ?PDBFF, FLO?, E. M. S., 13.06.97; INPA 2506, Choeroniscus minor, ?PDBFF, FLO?, E. M. S., 26.08.97; INPA 2507, Trinycteris nicefori, ?PDBFF, FLO?, E. M. S., 26.08.97; INPA 2508, Myotis riparius, ?PDBFF, CO?, E. M. S., 18.06.97; INPA 2509, Myotis riparius, ?PDBFF, GA?, E. M. S., 24.01.97; INPA 2510, Eptesicus chiriquinus, ?PDBFF, km 41?, E. M. S., 04.02.97; INPA 2536, Ametrida centurio, ?PDBFF, GA?, E. B., 09.08.97; INPA 2537, Artibeus gnomus, ?PDBFF, km 41?, E. B., 31.10.96; INPA 2538, Vampyressa brocki, ?PDBFF, km 41?, E. B., 31.10.96; INPA 2539, Eptesicus chiriquinus, ?PDBFF, km 41?, E. B., 30.01.97; INPA 2540, Lophostoma schulzi, ?PDBFF, GA?, E. B., 06.08.97; INPA 2541, Centronycteris maximiliani, ?PDBFF, DI?, E. M. S., 23.09.97; INPA 2542, Cormura brevirostris, ?PDBFF, CO?, E. M. S., 21.11.97; INPA 2543, Saccopteryx leptura, ?PDBFF, CO?, E. M. S., 21.11.97; INPA 2544, Molossus molossus, ?PDBFF, DI?, E. M. S., 05.10.97; INPA 2545, Glyphonycteris sylvestris, ?PDBFF, FLO?, E. M. S., 04.11.97; INPA 2546, Lophostoma schulzi, ?PDBFF, km 41?, E. M. S., 26.10.96; INPA 2547, Platyrrhinus helleri, ?PDBFF, PA?, E. M. S., 03.12.97; INPA 2548, Myotis nigricans, ?PDBFF, PA?, E. M. S., 14.10.97; INPA 2549, Myotis riparius, ?PDBFF, km 41?, E. M. S., 28.10.96; INPA 2571, Choeroniscus minor, ?PDBFF, DI?, E. M. S., 15.01.98; INPA 2572, Saccopteryx leptura, ?PDBFF, km 41?, E. M. S., 27.01.98; INPA 2573, Myotis sp., ?PDBFF, CO?, E. M. S., 06.02.98; INPA 2574, Trinycteris nicefori, ?PDBFF, PA?, E. M. S., 09.02.98; INPA 2575, Centronycteris maximiliani, ?PDBFF, FLO?, E. M. S., 09.03.98; INPA 2576, Molossus molossus, ZF3 km 18, E. M. S.; INPA 2577, Choeroniscus minor, ?PDBFF, FLO?, E. M. S., 08.03.98; INPA 2578, Glyphonycteris daviesi, ?PDBFF, DI?, E. M. S., 18.02.98; INPA 2579, Micronycteris minuta, ?PDBFF, FLO?, E. M. S., 09.03.98; INPA 2622, Carollia perspicillata, ?PDBFF, PA?, E. M. S., 06.03.96; INPA 2623, Carollia perspicillata, ?PDBFF, PA?, E. M. S., 06.03.96; INPA 2624, Pteronotus parnellii, ?PDBFF, km 41?, E. M. S., 20.03.96; INPA 2625, Glyphonycteris daviesi, ?PDBFF, km 41?, E. M. S., 24.03.96; INPA 2626, Carollia brevicauda, ?PDBFF, PA?, E. M. S., 12.10.96; INPA 2627, Carollia perspicillata, ?PDBFF, PA?, E. M. S., 12.10.96; INPA 2628, Peropteryx macrotis, Pres. Fig., E. M. S., 20.11.96; INPA 2629, Carollia perspicillata, ?PDBFF, CO?, E. M. S., 06.12.96; INPA 2630, Carollia perspicillata, ?PDBFF, CO?, E. M. S., 07.12.96; INPA 2631, Micronycteris minuta, Silv. Treat., E. M. S.; INPA 2632, Ametrida centurio, ?PDBFF, DI?, E. M. S., 02.08.97; INPA 2633, Ametrida centurio, ?PDBFF, DI?, E. M. S., 02.08.97; INPA 2634, Pteronotus parnellii, ?PDBFF, PA?, E. M. S., 05.08.97; INPA 2635, Carollia perspicillata, ?PDBFF, DI?, E. M. S., 07.10.97; INPA 2636, Sturnira tildae, ?PDBFF, PA?, E. M. S., 09.10.97; INPA 2637, Carollia perspicillata, ?PDBFF, CO?, E. M. S., 22.11.97; INPA 2638, Carollia brevicauda, ?PDBFF, DI?, E. M. S., 14.01.98; INPA 2639, Carollia perspicillata, ?PDBFF, CO?, E. M. S., 06.02.98; INPA 2640, Mimon crenulatum, ?PDBFF, DI?, E. M. S., 18.02.98; INPA 2641, Lonchophylla thomasi, ?PDBFF, FLO?, E. M. S., 31.05.97; INPA 2642, Carollia perspicillata, ?PDBFF, CO?, E. M. S., 18.06.97; INPA 2643, Thyroptera tricolor, ?PDBFF, DI?, E. M. S., 24.09.97; INPA 2644, Carollia perspicillata, ?PDBFF, PA?, E. M. S., 02.12.97; INPA 2645, Carollia brevicauda, ?PDBFF, km 41?, E. M. S., 12.04.98; INPA 2646, Artibeus jamaicensis, ?PDBFF, km 41?, E. M. S., 13.04.98; INPA 2647, Carollia perspicillata, ?PDBFF, PA?, E. M. S., 14.04.98; INPA 2648, Saccopteryx cf. canescens, ?PDBFF, DI?, E. M. S., 16.04.98; INPA 2649, Uroderma cf. magnirostrum, ?PDBFF, DI?, E. M. S., 16.04.98; INPA 2650, Cormura brevirostris, ?PDBFF, km 41?, E. M. S., 12.04.98; INPA 2651, Glyphonycteris sylvestris, ?PDBFF, CO?, E. M. S., 05.05.98; INPA 2652, Tonatia saurophila, ?PDBFF, km 41?, E. M. S., 24.05.98; INPA 2653, Centronycteris maximiliani, ?PDBFF, km 41?, E. M. S., 25.05.98; INPA 2654, Artibeus jamaicensis, ?PDBFF, km 41?, E. B., 31.08.96; INPA 2655, Cormura brevirostris, ?PDBFF, km 41?, E. B., 03.09.96; INPA 2656, Koopmania concolor, ?PDBFF, km 41?, E. B., 05.09.96; INPA 2657, Myotis sp., ?PDBFF, GA?, E. B., 04.10.96; INPA 2658, Molossops greenhalli, ?PDBFF, GA?, E. B., 01.09.96; INPA 2659, Eptesicus andinus, ?PDBFF, km 41?, E. B., 03.09.96; INPA 2688, Artibeus cinereus, ?PDBFF, DI?, B. R.-H, 31.08.98; INPA 2691, Carollia perspicillata, ?PDBFF, FLO?, B. R.-H, 23.04.98; INPA 2692, Platyrrhinus helleri, ?PDBFF, DI?, B. R.-H, 04.08.98; INPA 2693, Cormura brevirostris, ?PDBFF, DI?, B. R.-H, 05.08.98; INPA 2694, Rhynchonycteris naso, Silv. Treat., E. M. S., 29.08.98; INPA 2695, Phylloderma stenops, ?PDBFF, DI?, B. R.-H, 14.09.98; INPA 2696, Choeroniscus cf. minor, ?PDBFF, FLO?, B. R.- H, 15.09.98; INPA 2697, Lonchophylla thomasi, JAU, B. R.-H, 06.09.98; INPA 2698, Myotis riparius, JAU, B. R.-H, 07.09.98; INPA 2699, Cormura brevirostris, JAU, B. R.-H, 07.09.98; INPA 2700, Trachops cirrhosus, JAU, B. R.-H, 07.09.98; INPA 2701, Vampyrum spectrum, ?PDBFF, CF?, B. R.-H, 24.09.98; INPA 2702, Trachops cirrhosus, ?PDBFF, CF?, B. R.-H, 25.09.98; INPA 2703, Thyroptera discifera, ?PDBFF, CF?, B. R.-H, 26.09.98; INPA 2704, Thyroptera discifera, ?PDBFF, CF?, B. R.-H, 26.09.98; INPA 2705, Myotis sp., ?PDBFF, CF?, B. R.-H, 26.09.98; INPA 2706, Phylloderma stenops, ?PDBFF, CF?, B. R.-H, 26.09.98; INPA 2707, Ametrida centurio, ?PDBFF, PA?, B. R.- H, 13.10.98; INPA 2708, Vampyressa bidens, ?PDBFF, PA?, B. R.-H, 13.10.98; INPA 2709, Phylloderma stenops, ?PDBFF, CO?, B. R.-H, 16.10.98; INPA 2710, Artibeus cinereus, ?PDBFF, CO?, B. R.-H, 16.10.98; INPA 2711, Carollia brevicauda, ?PDBFF, CO?, B. R.-H, 16.10.98; INPA 2712, Lophostoma brasiliense, ?PDBFF, CO?, B. R.-H, 17.10.98; INPA 2723, Ametrida centurio, ?PDBFF, DI?, B. R.-H, 04.11.98; INPA 2724, Trachops cirrhosus, ?PDBFF, CF?, B. R.-H, 17.11.98; INPA 2725, Trinycteris nicefori, ?PDBFF, CF?, B. R.-H, 18.11.98; INPA 2726, Sturnira lilium, ?PDBFF, PA?, B. R.-H, 15.12.98; INPA 2727, Platyrrhinus helleri, ?PDBFF, PA?, B. R.-H, 15.12.98; INPA 2728, Desmodus rotundus, ?PDBFF, DI?, B. R.-H, 26.11.98; INPA 2729, Artibeus jamaicensis, ?PDBFF, DI?, B. R.-H, 26.11.98; INPA 2839, Platyrrhinus helleri, ?PDBFF, CO?, E. B., 17.01.99; INPA 2840, Saccopteryx canescens, ?PDBFF, DI?, E. B., 20.01.99; INPA 2841, Molossus molossus, ?PDBFF, DI?, E. B., 21.01.99; INPA 2842, Molossus molossus, ?PDBFF, DI?, E. B., 21.01.99; INPA 2843, Artibeus anderseni, ?PDBFF, CO?, E. B., 02.02.99; INPA 2844, Carollia perspicillata, ?PDBFF, GA?, E. B., 03.02.99; INPA 2845, Glyphonycteris daviesi, ?PDBFF, GA?, E. B., 03.02.99; INPA 2846, Lonchophylla thomasi, ?PDBFF, CF?, E. B., 20.03.99; INPA 2847, Rhinophylla pumilio, ?PDBFF, CO?, E. B., 09.04.99; INPA 2848, Uroderma bilobatum, ?PDBFF, CO?, E. B., 11.04.99; INPA 2849, Platyrrhinus cf. helleri, ?PDBFF, CO?, E. B., 11.04.99; INPA 2850, Myotis nigricans, ?PDBFF, PA?, E. B., 19.05.99; INPA 2851, Carollia cf. castanea, ?PDBFF, CF?, E. B., 05.06.99; INPA 2852, Carollia perspicillata, ?PDBFF, CF?, E. B., 05.06.99; INPA 2853, Artibeus obscurus, ?PDBFF, CF?, E. B., 05.06.99. 1 Reserves: CF = Cabo Frio reserves, CO = Colosso reserves, DI = Dimona reserves, FLO = Florestal reserve, GA = Gaviao reserve, PA = Porto Alegre reserves, Pres. Fig = Presidente Figueiredo, Silv. Treat = Silvicultural Treatment. 2 Collector(s): B. R.-H = Bernal Rodriguez C. O. H. = Charles O. Handley, Jr., E. B. = Enrico Bernard, and E. M. S. = Erica Sampaio. Cf. = to confirm, Myotis sp. = M. riparius o. nigricans. Bat Species Richness in Amazonia 21 north of the BDFFP. Capture effort at the additional sites varied from 30 to 100mnh per night. The additional species that we collected outside the BDFFP areas are listed but they are not included in the evaluation of the completeness of our samples. Project 2 Ground and high nets (height 17 to 30m) were set inside 17 small tree-fall gaps in undisturbed forest (Gavi?o, km 41; Fig.1). Additionally, ground-level mistnets were placed in the forest near gaps. Sampling took place for 12 hours per night. The mistnets were opened at 18:00 and checked at intervals of 20 to 45 minutes. Each gap was sampled five times at 50 day intervals during the study period (August 1996?August 1997). Because the number of mistnets used in each gap dif- fered, total capture effort per gap varied between 114?322 mnh. Total capture effort of project 2 encompassed 3398.5 mnh (Bernard, 2001; Bernard & Fenton, 2002). Species accumulation curve To qualitatively assess the completeness of our data, we pooled the data from both projects and plotted the number of newly recorded species against the number of individuals captured (Fig. 2a). We randomized the data of the species accumulation curves to minimize the effect of order in which the nights and hence the species captured accumulated on the x-axis (see Colwell & Coddington, 1996). For the number of sampled individuals (x-axis) we excluded all subsequent recaptures at a given capture site. We applied parametric and non-parametric estimators to our data (Chao, 1984; Bunge & Fitzpatrick, 1993; Colwell & Coddington, 1996) to quantify sampling completeness and to estimate the minimum capture effort necessary to achieve a satisfactory result of local species richness (>90% of the expected species). Guild classification We classified all bats captured in this study into guilds fol- lowing Kalko (1997) and Schnitzler and Kalko (1998). Each guild consists of species foraging in similar ways in similar habitats for similar foods (Root, 1967). Complementarity In order to estimate the number of species common to both projects and at both levels (ground and canopy) we calcu- lated the index of complementarity U/Stotal as described in Colwell and Coddington (1996): Where U is the number of unshared species or Uniques = S1 + S2 - 2 * Shared species and Stotal = S1 + S2 - Shared species (S1 = number of species in project 1; S2 = number of species in project 2). Results The bat fauna of the BDFFP Pooling both ground and canopy netting data sets, we docu- mented six of the nine families of bats expected to occur in the area of Central Amazonia (Koopman, 1993; Voss & Emmons, 1996; Emmons & Feer, 1997; Marinho-Filho & Sazima, 1998). We did not sample members of three fami- lies (Noctilionidae, Natalidae, and Furipteridae) within the BDFFP (but see results on species caught outside the BDFFP). In project 1 (forest fragmentation) more than 6700 bats were caught in about 26,500mnh (Table 2). We obtained 61 species with confirmed identifications representing 39 genera and six families. The pooled capture rate per sample area averaged 0.16bats/mnh. The most common species in the forest fragments was Carollia perspicillata (52% of all captures), followed by Rhinophylla pumilio (9%), and Art- ibeus obscurus (7.6%). This pattern differed for the plots in continuous forest. There, Rhinophylla pumilio was the most number of individuals nu m be r o f s pe ci es 2000 400 600 800 0 10 20 30 40 50 60 70 80 number of individuals (a) (b) nu m be r o f s pe ci es 2000 400 600 800 0 10 20 30 40 50 60 70 80 Fig. 2. Species accumulation curves (randomized ? 100) of the bats sampled with mistnets at the BDFFP project near Manaus, Brazil. (a) Data of both projects pooled; (b) data presented sepa- rately for canopy- (C) and ground-level (G) mistnets. 22 E.M. Sampaio et al. common species with 10% of total captures followed by Pteronotus parnellii (5%). We achieved a recapture rate of about 8?10% for most areas with the exception of the plots in continuous forest (Cabo Frio, Florestal) with lower recap- ture rates (2.5% and 4.9%) (Table 2). Project 2 (vertical stratification) accumulated a total of 936 individuals in about 3400mnh representing 52 species in 32 genera and six families (Table 2). Of those, 37 species were recorded in the canopy nets. As in the ground-nets set in the forest fragments, three frugivorous species made up more than half (57.9%) of all captures. Car- ollia perspicillata had the highest capture rate followed by Artibeus (Koopmania) concolor, and Rhinophylla pumilio. Pooling the data from project 1 and 2 revealed that five species (Micronycteris schmidtorum, Chiroderma villosum, Vampyressa brocki, Diaemus youngi, and Molossops (Cynomops) abrasus were exclusively captured in canopy nets (Table 3). Each of these species was represented only by one individual. Overall, nets in the canopy showed a higher average capture rate per sampling effort (0.36bats/mnh) than the ground-level mistnets in project 2 (0.26bats/mnh) and in project 1 (0.16bats/mnh). Recapture rates in the canopy were much lower than in the groundnets of project 1 and 2, ranging from 0.7 to 1.05bats/mnh (Table 2). Species recorded outside the BDFFP area At the silvicultural research site (ZF2), our brief netting sessions yielded two Furipterus horrens (Furipteridae) and one Rhynchonycteris naso (Emballonuridae). In Presidente Figueiredo, we caught Peropteryx kappleri and P. macrotis (Emballonuridae) and the rare Phyllostomus latifolius (Phyl- lostominae). The two specimens of P. latifolius are clearly distinct in forearm length and cranial measurements from the similar-looking, syntopic P. elongatus. Species accumulation curve We sampled a total of 67 species with standardized ground and canopy mistnets. This corresponds to more than 90% of the number of species (63?78) predicted by most of the selected species-richness estimators (Table 4). We therefore consider our sample as a satisfactory approximation of the total number of species. Based on our species accumulation curve (Fig. 2a), we conclude that about 2000 captures of individuals are needed to reach the 75% mark, and that more than 6700 captures of individuals are required to reach about 95% of the expected number of species. Adding the five species to our list that we captured outside the BDFFP area brings the total number of species up to 72. Table 2. Summary of both projects including ground- and canopy-level mistnetting. Mnh = mistnet hour (one 12-m mistnet open for one hour). Nights Families Genera Species Localities (N) Mnh No. of ind. No. of recaptures (N) (N) (N) Project 1 (fragmentation) Reserve km 41 39 4,011 507 41 (8%) 5 24 43 Florestal 28 3,876 991 49 (4.9%) 5 25 38 Cabo Frio 18 2,583 473 12 (2.5%) 5 20 32 Dimona 31 3,613 572 41 (7.1%) 5 20 31 Porto Alegre 39 3,696 1013 100 (9.8%) 4 23 37 Colosso 35 3,822 1037 91 (8.7%) 4 24 44 Forest edges 22 3,511 516 60 (11.6%) 5 20 28 Secondary growth 38 1,419 1671 133 (8%) 5 24 44 Total 250 26,531 6780 527 (8.2%) 6 34 61 Project 2 (vertical stratification) Reserve km 41 34 1,738.50 271 2 (0.7%) 5 22 33 Gavi?o 30 1,680.50 665 7 (1.05%) 6 32 48 Total 64 3,419.00 936 9 (0.9%) 6 32 52 Ground vs. canopy mistnets Ground mistnets 294 28,875 7333 6 38 62 Canopy mistnets 20 1,075 383 5 24 36 Pooled data 314 29,950 7716 6 40 67 Bat Species Richness in Amazonia 23 Table 3. Species list of bats captured with ground and canopy mistnets between January 1996 and July 1999 in the area of the BDFFP near Manaus, Brazil. See Table 4 for description of feeding guilds. Project 1 Project 2 Ground Ground Canopy New Conservation mistnets mistnets mistnets occurrence status Guild Emballonuridae Centronycteris maximiliani x ? x * (-) II Cormura brevirostris x x x (-) II Peropteryx leucoptera x ? ? (-) II Saccopteryx bilineata x x x (-) I Saccopteryx canescens x ? x (-) II Saccopteryx leptura x ? x (-) II Mormoopidae Pteronotus gymnonotus x ? ? (*) (-) II Pteronotus parnellii x x ? (-) III Phyllostomidae-Phyllostominae Chrotopterus auritus x x ? (?) V Glyphonycteris daviesi x ? ? * (?) IV Glyphonycteris sylvestris x x ? (?) IV Lampronycteris brachyotis x ? ? (-) IV Lophostoma brasiliense x x ? (-) IV Lophostoma carrikeri x ? ? (?) IV Lophostoma schulzi x x ? (?) IV Lophostoma silvicola x x x (-) IV Micronycteris hirsuta x x ? (-) IV Micronycteris megalotis x x ? (-) IV Micronycteris microtis x (-) IV Micronycteris minuta x ? ? (?) IV Micronycteris schmidtorum ? ? x (-) IV Mimon crenulatum x x x (-) IV Phylloderma stenops x x x (?) VIIIb Phyllostomus discolor x ? x (-) X Phyllostomus elongatus x x ? (-) X Phyllostomus hastatus x ? x (-) X Tonatia saurophila x x x (-) IV Trachops cirrhosus x x ? (-) V Trinycteris nicefori x x ? (-) IV Vampyrum spectrum x ? ? (+) V Glossophaginae Anoura caudifer x ? ? (-) IX Choeroniscus minor x x x (-) IX Glossophaga soricina x ? x (-) IX Lonchophyllinae Lionycteris spurrelli x x (?) IX Lonchopylla thomasi x x ? (?) IX Carollinae Carollia brevicauda x x ? (-) VIIIb Carollia perspicillata x x x (-) VIIIb Rhinophylla pumilio x x x (-) VIIIb Stenodermatinae Ametrida centurio x x x (-) VIIIb Artibeus cinereus x x x (-) VIIIa Artibeus (Koopmania) concolor x x x (-) VIIIa Artibeus gnomus x x x (-) VIIIa Artibeus jamaicensis x x x (-) VIIIa Artibeus lituratus x x x (-) VIIIa 24 E.M. Sampaio et al. Complementarity of ground and canopy mistnetting The estimated completeness of the bat fauna was lower for the canopy mistnets (between 73 and 85%) than for the ground-level mistnets, which actually exceeded the respective estimates (>100%; Table 4). The complementarity of species captured between both projects was 0.29. Project 1 yielded 17 unique species in contrast to five species that were taken only in the canopy nets. Complementarity between both netting placements (ground vs. canopy) was 0.51 with 31 species that were exclusively captured in ground-level mistnets (Table 3). Because the collecting effort in project 1 (forest frag- mentation) was much higher than in project 2 (vertical Table 3. Continued Project 1 Project 2 Ground Ground Canopy New Conservation mistnets mistnets mistnets occurrence status Guild Artibeus obscurus x x x (-) VIIIa Chiroderma trinitatum x x x (-) VIIIa Chiroderma villosum ? ? x (-) VIIIa Ectophylla macconnelli x x x (-) VIIIb Platyrrhinus helleri x ? ? (-) VIIIa Sturnira lilium x x x (-) VIIIb Sturnira tildae x x x (-) VIIIb Uroderma bilobatum x ? x (-) VIIIb Vampyressa bidens x ? x (-) VIIIa Vampyressa brocki x Desmodontinae Desmodus rotundus x x ? (-) VI Diaemus youngi ? ? x (-) VI Thyropteridae Thyroptera discifera x ? ? * (-) II Thyroptera tricolor x x ? (-) II Vespertilionidae Eptesicus chiriquinus x x x (-) II Lasiurus castaneus (x) ? ? * (-) II Myotis albescens x ? ? (-) II Myotis nigricans x ? ? (-) II Myotis riparius x x ? (-) II Molossidae Molossops (Cynomops) abrasus ? ? x (-) I Molossops (Cynomops) greenhalli x ? x (-) I Molossus bondae x ? ? (-) I Molossus molossus x ? ? (-) I 37 36 Total number of species 67 Project 1 61 Project 2 52 Ground mistnetting 62 Canopy mistnetting 36 Complementarity indices Project 1 ? Project 2 0.29 Ground ? canopy mistnetting 0.51 * = Species that have not been previously reported in the literature for the Manaus area; x = captured and identified species; (x) = prelimi- nary identification; * new occurrence for the area with voucher specimen. All voucher specimens are deposited and listed at INPA, Manaus (see Table 1). (*) = New occurrence without voucher specimen. Conservation status (-) = stable; (?) = potentially vulnerable; (+) = vulner- able (Aguiar & Taddei, 1995; Wilson, 1996). Complementarity indices follow Colwell and Coddington (1996). Bat Species Richness in Amazonia 25 stratification), both on a nightly basis and as a whole, direct comparison of species composition and patterns of relative abundance between ground level and canopy strata is diffi- cult. Nevertheless, we observed different trends in the pref- erence of either canopy or ground level between and within guilds. Gleaning insectivorous bats, both in number of species and individuals, as well as Pteronotus parnellii (highly cluttered space aerial insectivore), were mainly caught in ground-level mistnets (Table 3). Of the two members of the blood-feeding guild, Desmodus rotundus was sampled exclusively at ground level and Diaemus youngi only in the canopy. Discussion Species accumulation curves Although the use of species accumulation curves in inven- tory studies of bats was initiated only recently, we consider it an essential tool to assess the quality of inventory data (see Kalko et al., 1996a; Longino & Colwell, 1997; Moreno & Halffter, 2000). The shape of the curves indicates how well a local bat fauna has been sampled. In case the curve is nearing an asymptote, most species that can be adequately sampled with a certain method have been recorded. Overall, our samples confirm the high numbers of New World leaf-nosed bats (Phyllostomidae) and Pteronotus parnellii (Mormoopidae) that are dominant components of bats in Neotropical lowland forests. Both are well-sampled with mistnets (e.g., Fenton et al., 1992; Kalko, 1997, 1998). Because our curve closely approached the plateau of the expected number of species as determined by species-rich- ness estimators (Colwell & Coddington, 1996), we conclude that we captured most of the local bat fauna (Fig. 2a). Based on pooled data from various local inventories in the Amazon Basin, the expected total number of species for the Amazon Basin is about 117 on a regional scale (Marinho- Filho & Sazima, 1998). Up to now none of the mistnetting bat inventories reported for this area (e.g., Mok et al., 1982; dos Reis & Peracchi, 1987; Hutterer et al., 1995; Voss & Table 4. Results of selected species richness estimators for the expected number of species sampled during both projects (N = 7716 indi- viduals) at the BDFFP in ground (N = 62 species) and canopy (N = 36 species) mistnets. SD = standard deviation; ACE = Incidence Cover- age Estimator; Jack1 = Jacknife 1 estimator; MMMean = Michaelis?Menten Mean estimator. Pooled data Ground Canopy Estimators* all mistnets SD % complete mistnets SD % complete mistnets SD % complete ACE 72.7 0.4 93 56.3 0.2 110 45.1 2.5 78 Chao1 70 4 97 56.0 0.3 110 41 4.2 85 Jack1 79 4.5 86 60 2.4 103 48.2 2.9 73 Bootstrap 72 94 58.4 106 41.8 83 MMMean 63.2 >100 55.4 111 42 83 *Estimates: http://viceroy.eeb.uconn.edu/estimates, R. K. Colwell (1999). Table 5. Guild structure of the bat fauna sampled in the BDFFP area based on ground and canopy mistnetting. Guilds Expected Observed New occurrences I Uncluttered space aerial insectivores 23 5 II Background cluttered space aerial insectivores* 24 13 4 III Highly cluttered space aerial insectivores 1 1 IV Highly cluttered space gleaning insectivores 17 15 4 V Highly cluttered space gleaning carnivores 3 3 VI Highly cluttered space gleaning piscivores 1 0 VII Highly cluttered space gleaning sanguivores 3 2 VIIIa Highly cluttered space gleaning canopy frugivores 20 12 1 VIIIb Highly cluttered space gleaning shrub frugivores 10 9 IX Highly cluttered space gleaning nectarivores 11 5 X Highly cluttered space gleaning omnivores 4 3 1 Total 117 67 10 The classification follows the bat guilds proposed by Kalko (1997) and Schnitzler and Kalko (1998). Natalus stramineus is included in guild II because of its foraging behaviour close to vegetation where it captures insects in flight (Kalko, pers. obs.). The expected number of species is based on a list for bats proposed by Marinho-Filho and Sazima (1998) for the Brazilian Amazon region. The new occurrences are included in the total number of observed species. 26 E.M. Sampaio et al. Emmons, 1996; Marinho-Filho & Sazima, 1998), including our results, have yet reached or have come close to this number of species. Although the results of the studies are based on well-sampled communities, some species are still underrepresented or lacking, particularly aerial insectivores. This bias is inherent to the exclusive use of mistnets (Voss & Emmons, 1996; Kalko, 1998; Simmons & Voss, 1998) because aerial insectivorous bats forage mainly in spaces that are difficult or impossible to sample with mistnets. Addi- tional investigations are needed to reduce this bias such as the identification of aerial insectivores by their echoloca- tion calls (e.g., Kalko, 1998; Kuenzi & Morrison, 1998; O?Farrell & Gannon, 1999; O?Farrell & Miller, 1999). Comparison of canopy- and ground-level mistnets The species accumulation curves of both projects give a first impression of the complementarity between the placement of the mistnets at ground and at canopy level (Longino & Colwell, 1997; Kalko & Handley, 2001; Fig. 2b). Because both projects were located in the same area, comparison of project 1 and 2 showed rather low overall species comple- mentarity (<30%) that is high similarity of species composi- tion whereas the comparison between ground and canopy mistnetting revealed higher complementarity (>50%), in other words less similarity. One reason for the lower simi- larity between canopy and ground mistnets is unequal capture effort. Capture effort was almost 30 times higher for the ground-level nets (projects 1 and 2 combined) than for the canopy nets (28,000 vs. 1000mnh). This leads to a higher probability to capture more species at ground-level than in the canopy. Another reason is the differential use of space. Our studies confirm trends in vertical stratification found in Neotropical bats (Handley, 1967; Simmons & Voss, 1998; Kalko & Handley, 2001; Lim & Engstrom, 2001). However, although some bats do show differential use of forest strata, vertical stratification may not be as strict in bats as it is in other species such as birds (see Kalko & Handley, 2001; Bernard, 2001). For instance, most forest bats are not limited to a par- ticular forest level even though some species might forage more frequently in particular strata. Kalko & Handley (2001) argue that the classification of bats into ?ground? or ?canopy? bats is still premature due to low sample size and insufficient information on the diet, behavior, and sensorial flexibility of many species. In our study, only a few species were captured exclusively in canopy nets, as, for example, one individual each of Diaemus youngi and one of the ?mostly fig-eating? bat, Vampyressa brocki. Although D. youngi seems to be rarely collected with other vampire species (Hutterer et al., 1995), the absence or low capture rates of this species might to some degree be due to a capture bias because of fewer canopy nets compared with the ground nets. Diaemus youngi is a bird- blood specialists and probably feeds mainly on birds roost- ing in the canopy (Uieda, 1992). It was also captured exclusively in canopy nets in a study at Bel?m (Kalko & Handley, 2001). Frugivorous bats that are known to feed mainly on canopy trees such as Artibeus concolor (Kalko & Handley, 2001) were well represented in our canopy mist- nets. Comparing both mistnetting levels, we observed more species of aerial insectivorous bats in our canopy samples which is the stratum frequently used by these bats as forag- ing areas. Overall, the combination of canopy- and ground- level mistnets produced a higher number of species per mistnet hour than either placement alone (Fig. 2a, b). Comparisons with other inventories Overall we documented 72 species of 43 genera from 117 species predicted for the greater Amazon region (Marinho- Filho & Sazima, 1998; Table 3). We recorded 10 species new for the area, but already known from other locations in the Amazon Basin (dos Reis & Schubart, 1979; Mok et al., 1982; dos Reis & Guillaumet, 1983; dos Reis, 1984; dos Reis & Peracchi, 1987; Emmons & Feer, 1997; Marinho-Filho & Sazima, 1998). These species include Centronycteris maximiliani, Glyphonycteris daviesi, Micronycteris hirsuta, Micronycteris microtis, Phyllostomus latifolius, Trinycteris nicefori, Vampyressa brocki, Lasiurus cf. castaneus, Thy- roptera discifera, and Pteronotus gymnonotus. The results compare well with other studies in the Amazon region and in the adjacent Guyanas, all of which document an impres- sively high species richness of bats. Currently, the highest numbers of species recorded locally in those areas encom- pass 86 species at Iwokrama Forest in Central Guyana (Lim & Engstrom, 2001), 78 species at Paracou, French Guyana (Simmons & Voss, 1998) and 72 species at Alt?r do Ch?o, Central Amazonia, Brazil (Bernard & Fenton, 2002). None of the inventories, however, is close to completeness. This applies also for our study as revealed by a comparison of the number of recorded species with the number of species based on information on distribution patterns in the current literature (e.g., dos Reis & Schubart, 1979; Mok et al., 1982; dos Reis & Guillaumet, 1983; dos Reis, 1984; dos Reis & Peracchi, 1987; Emmons & Feer, 1997; Marinho-Filho & Sazima, 1998; Bernard & Fenton, 2002). Interestingly, the proportional composition of species in each family is similar to earlier inventories in the Amazon Basin and the Guyanas. Probably, the expected number of species is too high because it includes all species recorded in previous inventories, which were scattered over a huge area. Further- more, some of the species may not occur in the area of the BDFFP because they are patchily distributed in the Amazon Basin or do not find the appropriate ecological require- ments there such as rocky outcrops for cave-roosting bats. With the capture of approximately 3000 individuals we reached about 90% of the expected species richness. This compares well to the Paracou Project in French Guyana (Simmons & Voss, 1998) where over 1500 bats bats were sampled with ground-level mistnets in about 2500mnh (24,957 net-meter-hours (nmh)/12m mistnets) resulting in a Bat Species Richness in Amazonia 27 total of 78 species with 65 species sampled in ground-level and 39 species in canopy nets. Lim and Engstrom (2001) caught 2117 bats representing 73 species in Guyana with a capture effort of about 1660mnh (495,136m2/h; one 12-m net approximates 300m2). Bernard & Fenton (2002) docu- mented 72 species of bats with a capture effort of 6116mnh over 102 nights with more than 3900 individuals at a highly diverse savanna-forest site in Brazil (Alt?r do Ch?o, Par?). In Mexico, Moreno and Halffter (2000) netted 20 nights (3853nmh, or about 320mnh) in different habitat types to obtain about 90% of the expected fauna with ground-level mistnets. One of the long-term bat projects on Barro Col- orado Island (BCI) in Panam? (Kalko et al., 1996a) spanned more than 10 years and included more than 48,000 cap- tures/recaptures. An average of 30 net nights was needed to compile 30 species. After additional years of sampling including other methods (canopy netting, acoustic monitor- ing, roost search) the number of species recorded for BCI has recently reached 72 (E. Kalko, pers. comm.), which is similar to the species richness in our study when we include our captures of areas adjacent to the BDFFP. In all studies, a large proportion of the bat fauna has already been recorded during the first few samples. Most of the less common species accumulated gradually in the course of the study. After capturing about 70% of the total number of species for a given locality, the increase in species accu- mulation usually slows down drastically. Even though in most Neotropical bat inventories a relatively large number of species (between 70 to 80% of the total number of species ultimately recorded in the respective projects) are captured within 30 nights or in about 1000mnh or with a capture effort of about 1000 individuals, an intense and committed capture effort is necessary to go beyond the more common species and to also include rare species. Unsampled species In our study, we caught only nine out of the 14 expected emballonurids, six out of the nine expected vespertilionids and four out of the 16 expected molossids. The most remark- able captures of aerial insectivores were the rare Centronyc- teris maximiliani and Lasiurus cf. castaneus, resulting in substantial range extensions for both species (e. g., Masson & Cosson, 1992; Simmons & Handley, 1998). Based on our extensive echolocation call recordings of aerial insectivorous bats in the BDFFP area and subsequent species identification we expect an additional 10?15 species bringing the total number of bats in the area to 82?87 species. Details about the results of the echolocation call analysis will be published elsewhere. In our mistnetting study at the BDFFP, we missed several families and species which are considered to be widespread in the Central Amazon Basin (dos Reis & Schubart, 1979; Mok et al., 1982; dos Reis & Perracchi, 1987; Koopman, 1993; Emmons & Feer, 1997), in particular Noctilionidae, and Natalidae. The absence of noctilionids and Macrophyl- lum macrophyllum (Phyllostominae) in our mistnet data may be correlated with the almost complete absence of large rivers and other large water bodies in our study area. Noc- tilio leporinus is well known for its fish-eating habits and N. albiventris mainly for its insect-eating habits (e.g., Hooper & Brown, 1968; Hood & Pitocchelli, 1983). Both species of Noctilio forage predominantly over water surfaces (e.g., Hood & Jones, 1984; Schnitzler et al., 1994; Kalko et al., 1998). We recorded both species frequently and in large numbers over the Amazon as well as the Branco and Madeira river. Macrophyllum macrophyllum is the only phyllostomid known to forage regularly over water. This is reflected in its diet that includes, among other foods, water striders (Hemiptera, Gerridae; Gardner, 1977). Adding those species to our list in addition to the species identified by echoloca- tion brings the total number of bats to 85?90 species. Some bat species prefer or require caves as roost sites. Hence, the lack of caves in the BDFFP area may explain the absence of Natalus stramineus (Natalidae). The absence of moormopids such as P. personatus which is also known to roost predominantly in caves (Kalko et al., 1996a; Voss & Emmons, 1996), might also be in part due to sampling bias. Pteronotus personatus forages mostly at forest edges and in gaps (Table 4), and is usually not well sampled by ground mistnets. However, we recorded the characteristic echoloca- tion calls of this species frequently at the BDFFP. Inter- estingly, its congener, Pteronotus parnellii is the only mormoopid that is well sampled with mistnets (Kalko et al., 1996a; Bernard et al., 2001; Bernard & Fenton, 2002). This is probably mainly linked to its foraging habits because it frequently forages along man-made trails inside the forest, as documented by ultrasound monitoring. At Presidente Figueiredo, where we netted bats at cave entrances, the capture effort was too low (two nights) to permit compre- hensive conclusions about the bat fauna roosting in those caves. The species we caught included Pteronotus parnellii, Phyllostomus latifolius, and Carollia perspicillata. Although frugivorous bats are well represented in our samples (Table 4), our inventory did not record some species of the genera Platyrrhinus, and Vampyressa, and the nec- tarivorous bats Lichonycteris degener and Scleronycteris ega that are expected to occur in the area (dos Reis & Peracchi, 1987; Kalko et al., 1996a; Voss & Emmons, 1996; Moreno & Halffter, 2000). The distribution and abundance of frugiv- orous and nectarivorous bats is tightly associated with the temporal and spatial availability of certain fruits and flowers (Fleming, 1986a; Marinho-Filho, 1991). In particular, species such as figs (Moraceae, Ficus spp.) have keystone functions for frugivorous bats and other frugivores in part because of their year-long fruiting within populations and the asynchronous fruiting of individuals (Handley et al., 1991; Kalko et al., 1996b; Korine et al., 2000). In contrast to the BDFFP area, frugivorous bats of the genera Artibeus, Platyrrhinus, and Vampyressa are common on BCI, Panam?, and other localities where figs are abundant (Handley et al., 1991). This discrepancy may be mainly due to the nutrient- 28 E.M. Sampaio et al. poor latosols of Manaus region (Chauvel, 1983) that produce a distinctive local flora where poor-soil specialist trees pre- dominate. Many bat-dispersed fruits, such as Piper and Ficus require richer soils (Gentry, 1990). The low abundance of fig trees in the Manaus area is likely to be one of the main reasons for our low capture rates or absence of canopy fru- givores considered to be mainly fig-eaters (e.g. Artibeus jamaicensis, A. lituratus, Vampyrodes carracioli, Vampyressa pusilla, Platyrrhinus brachycephalus, and P. infuscus; see Handley et al., 1991; Galetti & Morellato, 1994; Kalko et al., 1996b; Bernhard & Fenton, 2002). The most common species we encountered in our mist- netting samples were ground story frugivores equivalent to the ?highly-cluttered-space ground-level frugivorous bats? described by Kalko (1997) and Schnitzler and Kalko (1998). For instance, Carollia perspicillata was the most abundant species in this guild in the BDFFP area and contributed to more than half (52%) of all captures. In contrast to C. per- spicillata and C. brevicauda, which are both widespread, common, and often occur sympatrically in the Amazon Basin, C. castanea, was not represented in our samples. To date, the nearest capture of C. castanea has been in Acre, Rio Branco, in the western Brazilian Amazon (Uieda, 1980). In Panam?, Carollia castanea and C. perspicillata overlap in habitat use and certain dietary resources (Thies et al., 1998). Both species eat Piper fruits but C. castanea is clearly a Piper specialist and may be thus strongly limited by the avail- ability of these plants. Carollia perspicillata and C. brevi- cauda have broader food preferences and fecal analysis indicates that in the BDFFP both species feed almost exclu- sively on fruits of Vismia sp., a common secondary shrub (Sampaio, pers. obs.). The dominance of Carollia in the BDFFP area conforms well to similar results of bat assem- blages in Alt?r do Ch?o, Central Brazil (Bernhard & Fenton, 2001) and in French Guyana (Simmons & Voss, 1998). We also did not find Rhinophylla fischerae, which has been recorded from southern Venezuela (Gardner, 1988), and was described from the upper Amazon (Ucayali) of Per? (Carter, 1966), and is expected to occur elsewhere in the Amazon Basin (Marinho-Filho & Sazima, 1998). It is rela- tively common in Alt?r do Ch?o, along the Tapaj?s river (Bernard et al., 2001) but appears to be rare in most bat surveys conducted thus far. Probably, essential ecological requirements of this species are not met in our study area. Ecological limitations may also play a role in the rareness of other phyllostomids in our samples where we captured less than five individuals in 13 species. Diversity and conservation of Amazonian lowland bats Our Central Amazonian bat inventory reveals a high number of coexisting species. If we add to our current data base about 15 species of aerial insectivores which we missed in our mist- netting inventory but whose presence has been confirmed by ultrasound recordings (Sampaio & Kalko, unpublished), and four bat species that are considered to be widespread in Amazonia but that were also absent in our samples, leads to a total of 91 species. This result compares favorably with the high bat diversity documented for other Neotropical locali- ties (Handley, 1967; McNab, 1971; Mok et al., 1982; dos Reis, 1984; Fleming, 1986b; Willig, 1986; dos Reis & Per- acchi, 1987; Brosset & Charles-Dominique, 1990; Findley, 1993; Voss & Emmons, 1996; Kalko & Handley, 2001; Bernard & Fenton, 2002). However, none of the inventories is close to completeness and in most cases we do not fully understand why certain species are absent. We recognize the urgency in acquiring a better understanding of the biology and demographics of Amazon bat assemblages. This knowl- edge is necessary for developing strategies for conserving habitats and their associated fauna. For instance, we captured nine species in our study that are considered as ?potentially endangered? in their range and one species (Vampyrum spec- trum) that is already included in the official Brazilian list of threatened bat species (Aguiar & Taddei, 1995; Wilson, 1996). The reason for the ?rarity? of V. spectrum may be related to its trophic position as a top predator. Aguiar and Taddei (1995) used rarity of species and the degree of endemism of species to define their vulnerability to habitat changes such as fragmentation and isolation. When is a species considered to be rare? Are species truly rare or simply difficult to be captured or recorded? Answers to these questions will help us to determine which species become rare due to habitat changes that limit or prevent the natural maintenance of their populations. Methodological biases in our sampling techniques may result in the characterization of a species as either ?rare? or ?common? when the opposite may be true. For example, species that are ?rare? or ?absent? in mistnet surveys, (e.g., Diclidurus spp. or Peropteryx spp.) are frequently recorded in ultrasound monitoring. Furthermore, designating bat species as endangered or threatened requires a thorough understanding of their natural history, especially of the underlying ecological factors deter- mining population density and size (Brussard, 1991). This includes for instance lack of adaptability to habitat changes, low dispersal capacities, and dietary spezializations, forag- ing habits, and roosting behavior. Furthermore, it is arguable that rare species are always more prone to extinction than more abundant and widespread species (Terborgh & Winter, 1980; McIntyire, 1992). Distribution and occurrence data of many taxa, in par- ticular bats, are still meager and are often difficult to interpret and evaluate due to the lack of standardized methodology. Consequently, data of species richness and rel- ative abundance in inventories for many species are still insufficient to be taken as indicators of rarity and vulnera- bility to extinction. An adequate understanding of the role of bats as indicator species and as providers of critical ecosys- tem services (e.g., pollinators, seed dispersal agents, control of insect populations), requires considerably more study of the community organization and ecology of bats across a range of different sites and habits than is available to date. Bat Species Richness in Amazonia 29 Acknowledgements We thank J.R.M de Oliveira (Ribamar), J. Tenasol (Z?), F. M. Bezerra (Flecha), S.S. de Souza (Seba) and A.M. dos Reis (Leo) for assistance with field work and the BDFF Project for facilities as well as financial support. We are most grate- ful to H.-U. Schnitzler and I. Kaipf (Univ. of T?bingen, Germany) for support and technical advice and to F. Fahr (Univ. Ulm, Germany), D. Menne (Univ. T?bingen, Germany), R. Stallard (U.S. Geological Survey, Boulder), M. Tschapka (Univ. Ulm, Germany), R. Voss (AMNH, USA), A. Zillikens (Univ. T?bingen, Germany) and an anonymous referee for critical feedback. We thank Al Gardner (NMNH, Washington, D.C.) for additional identifications of bats. E. Sampaio was supported by a Ph.D. scholarship (CAPES) and by the World Wildlife Fund (WWF) and E. Bernhard by the Conselho Nacional de Desenvolvimento Cinet?fico e Tecnol?gico (CNPq-Masters Program) and Bat Conservation International. 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