Spatial Information Management in Wildlife Ecology: Adding Spatially Explicit Behaviour Data to the Equation?

  • Kim Jochum
  • Falk Huettmann


The implementation of spatial data to wildlife management is not really new as such, although it has not been explicitly demanded and practiced (Braun 2005). By adding spatial information to the discipline, resounding success has already been achieved elsewhere improving specific science goals (e.g. Kadmon et al. 2004; Hirzel et al. 2006).


Marine Mammal Wildlife Management Dominance Hierarchy Humpback Whale Wildlife Research 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Alcock J (2005). Animal Behavior. Sinauer, Sunderland, MA.Google Scholar
  2. ASDD (1999). ASDD — Australian Spatial Data Directory. Australian Spatial Data Infrastructure (ASDI). Accessed 11.01.2009 from
  3. Bezanson M, Garber PA, Murphy JT, Premo LS (2007). Patterns of subgrouping and spatial affiliation in a community of mantled howling monkeys (Alouatta palliata). Amer J Primatol 69:1–17.Google Scholar
  4. Braun CE (2005). Techniques for Wildlife Investigations and Management. The Wildlife Society (TWS), Bethesda, MD. ISBN 0-933564-15-5Google Scholar
  5. Caughley G, Sinclair ARE (1994). Wildlife Ecology and Management. Blackwell, Cambridge, MA.Google Scholar
  6. Chapman DG (1974). Status of Antarctic rorqual whale stocks. In The whale problem: A status report. (W.B. Schevill), Harvard University Press. MA. 218–238.Google Scholar
  7. Cibulka I, Takagi T (2004). State behavior database for pure liquids and data correlation. Internat J Thermophys 25:361–369.CrossRefGoogle Scholar
  8. Clapham PJ (1996). The social and reproductive biology of humpback whale: An ecological perspective. Mammal Rev 26(1): 27–49.CrossRefGoogle Scholar
  9. Clarke MR, Glander KE, Zucker EL (1998). Infant-nonmother interactions of free-ranging manteled howlers (Alouatta palliata in Costa Rica. Int J Primatol. 19(3)451–472.CrossRefGoogle Scholar
  10. CSIRO (2009). Wildlife Research. CSIRO Publishing. Accessed 05. February 2009 from
  11. Curry GB, Humphries CJ (2007). Biodiversity Databases: Techniques, Politics and Applications. CRC. Boca Raton, FL.Google Scholar
  12. Dias PAD, Luna ER (2006). Seasonal changes in male associative behavior and subgrouping of Alouatta palliata on an Island. Int J Primatol 27:1635–1651.CrossRefGoogle Scholar
  13. Drickamer LC, Vessey SH, Jakob EM (2002). Animal Behavior, Mechanisms, Ecology, Evolution 5th edn., McGraw—Hill, New York.Google Scholar
  14. Edelson E (1998). Francis Crick and James Watson: And the Building Blocks of Life. Oxford Portraits in Science. Kindle Book.Google Scholar
  15. Elsevier (2009). Animal Behavior. Elsevier New York. Accessed 05. February 2009 from
  16. Esanu JM., Uhlir PF (eds.) (2004) Open Access and the Public Domain in Digital Data and Information for Science: Proceedings of an International Symposium. U.S. National Committee for CODATA, National Research Council.Google Scholar
  17. Festa-Bianchet M, Appollonio M (eds.) (2003). Animal Behavior Wildlife Conservation. Island, Washington, DC.Google Scholar
  18. Froese R, Pauly D (2008). FishBase. World Wide Web electronic publication. Accessed 12.11.2008 from
  19. GBIF (2008). Global Biodiversity Information Facility. Biodiversity occurrence data provided by GBIF Data Portal. Accessed 11.01.2009 from
  20. Goodall J (1988). My Life with the Chimpanzees. Aladdin, New York.Google Scholar
  21. Hays G, Norris K, Boots M, Coulson T (2009). J Anim Ecol. Wiley. New York. Accessed 05. February 2009 from
  22. Hirzel AH, Lay GL, Helfer V, Randin C, Guisan A (2006). Evaluating the ability of habitat suitability models to predict species presences. Ecol Modelling 199:142–152.CrossRefGoogle Scholar
  23. Huettmann F (2005). Databases and science-based management in the context of wildlife and habitat: towards a certified ISO standard for objective decision-making for the global community by using the internet. J Wildlife Manage 69:466–472.CrossRefGoogle Scholar
  24. Huettmann F (2007a). Constraints, suggested solutions and an outlook towards a new digital culture for the oceans and beyond: experiences from five predictive GIS models that contribute to global management, conservation and study of marine wildlife and habitat, in: Vanden Berghe E. et al. (Ed.) Proceedings of ‘Ocean Biodiversity Informatics’: an international conference on marine biodiversity data management Hamburg, Germany, 29 November –1 December, 2004, IOC Workshop Report, 202, VLIZ Special Publication 37 pp. 49–61.
  25. Huettmann F (2007b). The digital teaching legacy of the International Polar Year (IPY): Details of a present to the global village for achieving sustainability. Eds M. Tjoa and R.R. Wagner. Proceedings 18th International Workshop on Database and Expert Systems Applications (DEXA) 3–7 September 2007, Regensburg, Germany. IEEE Comput Soc, Los Alamitos, CA. pp. 673–677.Google Scholar
  26. Huettmann F (2007c). Modern adaptive management: Adding digital opportunities towards a sustainable world with new values. Forum Public Policy: Clim Change Sustainable Develop 3:337–342.Google Scholar
  27. Insley SJ, Phillips AV, Charrier I (2003). A review of social recognition in pinnipeds. Euro Ass Aquat Mammals 29:181–201.CrossRefGoogle Scholar
  28. Iwazume M, Kaneko H, Dan M (2005). CBDB: Cell Behavior Database — Toward understanding high order level biological phenomena-. In Proceedings. Chemo-Bio Informatics. (C.-B.I. Society), Japan, p. 115.Google Scholar
  29. Jochum K (2008). Benefits of using marginal opportunistic wildlife behavior data: Constraints and applications across data — a dominance hierarchy example relevant for wildlife management. German Diploma Thesis, University of Veterinay Medicine Hannover Foundation. Hannover, Germany.Google Scholar
  30. Jonker R (2006). Quantifying influences of disturbances on foraging behavior and movement pattern of Caribou. Unpublished M.Sc. thesis. University of Wageningen, Holland.Google Scholar
  31. Kadmon R, Farber O, Danin A (2004). Effect of roadside bias on the accuracy of predictive maps produced by biclimatic models. Ecol Appl 14:401–413.CrossRefGoogle Scholar
  32. Lorenz K (1966). On Aggression. Hartcourt, Brace & World, New York.Google Scholar
  33. Lutz W (2009). European Journal of Wildlife Research. Springer. Accessed 05. February 2009 from
  34. Mann J, Connor RC, Tyack PL, Whitehead H (2000). Cetacean societies: Field studies of dolphins and whales. University of Chicago Press. Chicago, IL.Google Scholar
  35. Marino L (2002). Convergence of complex cognition abilities in cetaceans and primates. Brain Behav Evol 59:21–32.CrossRefPubMedGoogle Scholar
  36. Martin P, Bateson P (2005). Measuring Behavior: An introductory guide, 5th edn. Cambridge University Press.Google Scholar
  37. Mercury (2008). Mercury (Distributed Metadata Management, Data Discovery and Access System). Oak Ridge National Laboratory. Accessed 11.01.2009 from
  38. Montgomery S (1991). Walking With the Great Apes: Jane Goodall, Dian Fossey, Birute Galdikas. Houghton Mifflin, Co Publishers, New York.Google Scholar
  39. National Aeronautics and Space Administration (NASA) (2008) GCMD — Global Change Master Directory. Retrieved 24 October 2008.Google Scholar
  40. NBII (2008). NBII Clearinghouse. National Biological Information Infrastructure. Accessed 13.03.2008 from http//
  41. OBIS (2002). Ocean Biogeographic Information System (OBIS v3.1). Census of Marine Lifestrives. The State University of New Jersey. Accessed 11.01.2009 from
  42. ORNIS (2004). ORNIS — ORNithological Information System. Accessed 29.11.2008 from
  43. PLoS (2009). PLoS Biology. Public Library of Science. Accessed 05. Februry 2009 from
  44. Read AJ, Halpin PN, Crowder LB, Best BD, Fujioka E (2009). OBIS-SEAMAP: mapping marine mammals, birds and turtles. World Wide Web electronic publication. Accessed 10.01.2009 from
  45. SAGE (2009). Adaptive Behavior. Sage Journals Online. Accessed 05. February 2009 from
  46. Silber GK (1986). The relationship of social vocalisation to surface behavior and aggression in the Hawaiian humpback whale (Megaptera novaeangliae). Canad J Zool 64:2075–2080.Google Scholar
  47. Springer (2009). SpringerLink. Springer Science and Buisness Media. Accessed 05 February 2009 from
  48. SWARMS (2006). Group Behavior Database — SWARMS (Scalable Swarms of Autonomous Robots and Mobile Sensors). Yale University School of Forestry and Environmental Studies. Accessed 11.01.2009 from
  49. The Wildlife Society (2009). The Journal of Wildlife Management. BioOne. Accessed 05 February 2009 from
  50. Thomson Reuters (2009). Scientific. Retrieved 05 February 2009 from
  51. University of Queensland (2008). What is a Database? Library, University of Queensland. Accessed 29.11.2008 from
  52. Valsecchi E, Hale P, Corkeron P, Amoss W (2002). Social structure in migrating humpback whales (Megaptera novaengliae). Mol Ecol 11:507–518.CrossRefPubMedGoogle Scholar
  53. Van Lawick-Goodall J (1973). The behavior of chimpanzees in their natural habitat. Amer J Psychiatry. 130:1–12.Google Scholar
  54. Vigness Raposa KJ (2008). Marine Wildlife Behavior Database (MWBD). University of Rhode Island. Accessed 11 January 2009 from
  55. Whiten A, Goodall J, McGrew WC, Nishida T, Reynolds V, Sugiyama Y, Tutin CEG, Wranhgham RW, Boesch C (1999). Cultures in Chimpanzees. Nature 399:682–685.CrossRefPubMedGoogle Scholar
  56. Wieczorek J (2001). MaNIS — Mammal Networked Information System. University of California, Berkeley. Accessed 29.11.2008 from
  57. Wildlife Biology (2009). Wildlife Biology. Nordic Counsil for Wildlife Research (NKV). Accessed 05 February 2009 from
  58. Zucker EL, Clarke MR (1998). Agonistic and affiliative relationships of adult female howlers (Alouatta palliata) in Costa Rica over a 4-year period. Int J Primatol 19:433–449CrossRefGoogle Scholar

Copyright information

© Springer 2010

Authors and Affiliations

There are no affiliations available

Personalised recommendations