1. The Automatic Ornithologist: A New Website for Predicting Amazonian Bird Species Composition by Locality Mario Cohn-Haft (mario@buriti.com.br) Rolf A. de By Catherine L. Bechtoldt Kleberson J. A. Serique José Laurindo Campos dos Santos

2. Describe site species composition: 1. Survey/inventory 2. Extrapolation/interpolation: Predictive modeling

3. Surveys incomplete Time No. species

4. Predictive bird species occurrence 1. Geographic range 2. Habitat use

5. Predicting bird species occurrence: 1. Geographic range 2. Habitat use We know this for birds!

6. Predicting bird species occurrence: 1. Geographic range Ridgely maps in Infonatura (2007) www.natureserve.org/infonatura 2. Habitat use Parker database in Stotz et al. (1996) Neotropical Birds

17. GIS query - Consulta SIG

18. ~1200 spp. Amazônia Brasileira

19. The Automatic Ornithologist O Ornitólogo Automático

20. The Automatic Ornithologist O Ornitólogo Automático Bilingual website: On-line GIS platform Linked to avian distribution database Using free software

21. The Automatic Ornithologist

36. Data quality?

37. 1. Geographic range Ridgely maps in Infonatura (2007) www.natureserve.org/infonatura 2. Habitat use Parker database in Stotz et al. (1996) Neotropical Birds 3. Taxonomy Comitê Brasileiro de Registros Ornitológicos (CBRO)

38. Data quality? 1. Geographic range Ridgely maps in Infonatura (2007) www.natureserve.org/infonatura 2. Habitat use Parker database in Stotz et al. (1996) Neotropical Birds 3. Taxonomy Comitê Brasileiro de Registros Ornitológicos (CBRO)

39. Data quality? 1. Geographic range Ridgely maps in Infonatura (2007) www.natureserve.org/infonatura 2. Habitat use Parker database in Stotz et al. (1996) Neotropical Birds 3. Taxonomy Comitê Brasileiro de Registros Ornitológicos (CBRO)

40. Data quality? 1. Geographic range Ridgely maps in Infonatura (2007) www.natureserve.org/infonatura 2. Habitat use Parker database in Stotz et al. (1996) Neotropical Birds 3. Taxonomy Comitê Brasileiro de Registros Ornitológicos (CBRO)

41. Black Antbird (Cercomacra serva) Chororó-preto

43. Spot-backed Antwren (Herpsilochmus dorsimaculatus) Chorozinho-de-costas-manchadas

44. New data

45. Spot-backed Antwren (Herpsilochmus dorsimaculatus) Chorozinho-de-costas-manchadas Interfluve model

46. Who will use? What for?

47. 1. Scientific research

48. Species richness patterns

49. Distributional boundaries

51. Who will use? What for? 1. Scientific research 2. Policy and decision-making

52. Who will use? What for? 1. Scientific research 2. Policy and decision-making 3. Tourism

55. Whats next?

56. 1. Distributions based on complex models greater spatial precision probability of occurrence

58. Whats next? 1. Distributions based on complex models greater spatial precision probability of occurrence 2. Collaborations with other data providers e.g., museum specimen point data 3. Citizen science: user data contribution shared map authorship 4. Expanded geographic coverage international Amazon-wide collaborations

60. Surveys incomplete Method No. species 123456

61. Predictive modeling 1. Highly dependent on existing data quality 2. Overestimate (false presences) 3. Underestimate (false absences) 4. Testing depends on surveys