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Metodos e Ferramentas para Modelagem Preditiva de Especies

Metodos e Ferramentas para Modelagem Preditiva de Especies. 19-20 June 2002 Campinas, S.P., Brasil. Large-scale Ecology. Most organismal ‘ecology’ done at small spatial scales (>80%  ~1 m 2 ) Systematics – large scale, but no ecology! Critical nature of large-scale applications

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Metodos e Ferramentas para Modelagem Preditiva de Especies

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  1. Metodos e Ferramentas para Modelagem Preditiva de Especies 19-20 June 2002 Campinas, S.P., Brasil

  2. Large-scale Ecology • Most organismal ‘ecology’ done at small spatial scales (>80%  ~1 m2) • Systematics – large scale, but no ecology! • Critical nature of large-scale applications • Whole-geographic-range phenomena • E.g., potential for invasion • E.g., climate change effects • Effects of biogeography, history • Mars vs leaves • Emergent properties at larger scales • Need for a new perspective that bridges between ecology and systematics, and takes a large-scale view of biodiversity

  3. Humboldt Malaspina EUROPEAN EXPEDITIONS IN THE 18TH CENTURY

  4. NATURAL HISTORY MUSEUM, PARIS, FRANCE

  5. Lesson Lafresnaye Swainson PRE-DARWININAN SYSTEMATISTS OF THE 18TH AND 19TH CENTURIES Strickland

  6. Hartlaub Gray Cassin DESCRIBING BIODIVERSITY AFTER DARWIN

  7. Mearns Xantus Craveri SOLDIERS AND EXPLORERS

  8. AMERICAN MUSEUM OF NATURAL HISTORY, NY, USA

  9. Boucard Botteri IMMIGRANT NATURALISTS

  10. Sharpe Salvadori Hartert CATALOGUE OF BRITISH MUSEUM BIRDS Sclater

  11. Osbert Salvin F. DuCane Godman THE BIOLOGIA CENTRALI-AMERICANA

  12. NATURAL HISTORY MUSEUM, TRING, ENGLAND

  13. Dugès Villada Herrera SOCIEDAD MEXICANA DE HISTORIA NATURAL

  14. E. W. Nelson E. A. Goldman THE UNITED STATES BIOLOGICAL SURVEY

  15. A. J. Van Rossem A. Wetmore Systematics in the 20th century H. Oberholser W. De Witt Miller

  16. Wilmot W. Brown’s Specimens, World Museum

  17. R. T. Moore A. Miller The Check-list of Mexican Birds H. Friedmann L. Griscom

  18. Chester Lamb’s specimens, Moore Lab. of Zoology

  19. Eduardo Caballero Miguel Alvarez del Toro Allan Phillips Research at the National University in Mexico Rafael Martín del Campo

  20. G. Lowery C. G. Sibley R. W. Storer New Explorations in Mexico G. M. Sutton A. S. Leopold

  21. The new generation of ornithologists

  22. MUSEO DE ZOOLOGÍA, UNAM, MEXICO CITY

  23. BIRDS OF MEXICO IN THE “WORLD MUSEUM”

  24. Biases

  25. Species with point information Species with detailed autecological studies across geography Species with physiological data Knowledge of Biodiversity Frequency Knowledge of biology

  26. Reptiles mexicanos Fuente: 17 bases de datos pertenecientes al SNIB

  27. Fish University of Florida

  28. Fish Tulane University

  29. Fish University of Michigan

  30. Fish “World Museum”

  31. Gaps in Knowledge of Biodiversity

  32. Inferring into Gaps with Predictive Modeling

  33. Mario del Toro Aviles – all specimens

  34. Mario del Toro Aviles – 1936 October

  35. Mario del Toro Aviles – 1937 July

  36. 7 June 2-4 June 6 June 19-22 June 16 June Mario del Toro Aviles – 1949 June

  37. Availability

  38. The Species Analysthttp://speciesanalyst.netREMIBhttp://www.conabio.gob.mxSpeciesLink (Brasil!)http://www.cria.org.br

  39. 77 Participating Institutions I • Academy of Natural Sciences, Philadelphia • Agriculture Canada • American Museum of Natural History • Arizona State University • Auburn University Museum • Australian Museum • Bell Museum, University of Minnesota • Bernice P. Bishop Musem • Brigham Young University • Burke Museum, University of Washington • California Academy of Sciences • California Weeds • Canadian Museum of Nature • Carnegie Museum of Natural History • Cornell University Museum of Vertebrates • Departamento de Botânica, Instituto de Biociências, USP • Departamento de Botânica, Instituto de Biologia, Unicamp • Departamento de Entomologia, Fitopatologia e Zoologia Agrícola, ESALQ/USP • ECOSUR • EMAN-Frog Watch • Faculdade de Filosofia, Ciências e Letras de Riberão Preto (USP) • Field Museum of Natural History • Florida State Museum • Gulf Coast Research Laboratory Museum, University of Southern Mississippi • Illinois Natural History Survey

  40. 77 Participating Institutions II • Instituto Biológico de Campinas, Centro Experimental • Instituto de Biologia, UNAM • Instituto de Botânica • Instituto Nacional de Biodiversidad • Instituto Nacional Politecnico • Los Angeles County Natural History Museum • Louisiana State University Museum of Natural Science • Michigan State University Museum • Milwaukee Public Museum • Museu de Zoologia, USP (MZUSP) • Museum National d'Histoire Naturelle, Paris • Museum of Comparative Zoology, Harvard University • Museum of Southwestern Biology, University of New Mexico • Museum of Vertebrate Zoology, University of California, Berkeley • Nebraska State Museum • Real Jardin Botanico, Madrid • Redpath Museum, McGill University • Royal Ontario Museum • San Diego Natural History Museum • Scripps Institution of Oceanography • Slater Museum, University of Puget Sound • Swedish Museum of Natural History • Texas A&M University • Texas Natural History Collections • Texas Tech University Museum • Tulane University Natural History Museum

  41. 77 Participating Institutions III • U.S. Breeding Bird Survey • U.S. National Museum of Natural History • UNAM-Facultad de Ciencias • UNAM-Institution de Biologia • UNAM-Instituto de Ecologia • UNESP, Campus de São José do Rio Preto • Universidad Autonoma de Chapingo • Universidad Autonoma de Nuevo Leon • Universidad Autonoma Metropolitana • Universidad de Sonora • University of Alabama Ichthyological Collection • University of Alaska Museum • University of Alberta Museum • University of Arizona • University of Colorado Museum • University of Georgia Museum • University of Kansas Natural History Museum • University of Michigan Museum of Zoology • University of Nevada - Reno • University of Oklahoma Museum • University of Texas, Arlington • University of Texas, Austin • University of Texas, El Paso • Utah Museum of Natural History • Yale Peabody Museum

  42. TSA Use I

  43. TSA Geographic Distribution of Use

  44. Biodiversity Information • Biases • Presence-only • Distributed nature • Gaps of unknown significance • Skewed distribution of knowledge • Bias with respect to geography (ecology?) • Challenges • Computerization • Georeferencing • Identification • Precision • AVAILABILITY/ACCESS (how much in country?)

  45. Factors that Limit Species’ Distributions • History • Limited dispersal • Speciation • Extinction • Ecology • Abiotic environment • Biotic environment • Interactions • Competition • Predation • Parasitism • Mutualisms

  46. Digital Elevation Models

  47. Climate Data

  48. Climate Change over Last Century

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