Mobile Information System for Species Localization and Modelling Applied to the Amazon Forest

Álvaro Silva, Marcelo Queiroz Leite, Pedro Luiz Pizzigatti Correa

Abstract

Species distribution modelling based on ecological niche uses data collected in the field by researchers which indicates whether a particular species is present or absent. However, without reliability or accuracy, the generated models are inaccurate. Because of this we propose a system which uses a smart phone and a service oriented approach to data collection. Using this, a researcher can submit data collection points for processing on remote servers which will return the distribution model after it has been previewed. It automates the collection and modelling process and allows collaboration between the researchers, but the system needs to be designed giving some considerations to the often hostile local environment in which it will operate – the Amazon Forest. This paper presents the benefits of using SOA (Service Oriented Architecture) to model this kind of system.

References

  1. Soberón, J. & Peterson, A.T., 2005. Interpretation of models of fundamental ecological niches and species' distributional areas. p.10.
  2. Iwashita, F., 2008. Sensibilidade de modelos de distribuição de espécies a erros de posicionamento de dados de coleta. Instituto Nacional de pesquisas espaciais.
  3. Peterson, A.T., 2001. Predicting species geographic distributions based on ecological niche modeling. Cooper Ornithological Society.
  4. Hutchinson, G.E., 1957. Concluding remarks. Cold Spring Harbor Symposia on Quantitative Biology, pp.415-27.
  5. Bazzaz, F.A., 1998. Plants in changing environments: Linking physiological population, am community ecology. Am community ecology.
  6. Malanson, G.P., Westman, W.E. & Yan, Y.-L., 1992. Realized versus fundamental niche functions in a model of chaparral response to climatic change. Ecological Modelling, pp.261-77.
  7. Austin, M.P., 2002. Spatial prediction of species distribuition: an interface between ecological theory and statistical modelling. Ecological modelling Elsevier, pp.101-18.
  8. Guisan, A. & Zimmermann, N.E., 2000. Predictive habitat distribution models in ecology. Ecological modeling, pp.147-86.
  9. Sohn, N., 2009. Distribuição provável, uso de hábitat e estimativas populacionais do galoda-serra (Rupicola rupicola) com recomendações para sua conservação. Universidade Federal do Amazonas.
  10. Peterson, A.T. et al., 2001. Effects of global climage change on geographic distributions of Mexican Cracidae. Ecological modelling, pp.21-30.
  11. Canhos, V. et al., 2005. A framework for species distribution modeling. Research project. São Paulo: Reference Center in Ambiental Informatics, USP Polytechnic School, National Institute of Spacial Research.
  12. INPA, (2010). Instituto Nacional de Pesquisas da Amazônia. Retrieved September 1, 2009, from http://www.inpa.gov.br.
  13. SCHREINER, K., 2007. Where We At? Mobile Phones Bring GPS to the Masses. IEEE Computer Graphics and Applications, 27, pp.6-11.
  14. Santana, F.S., Siqueira, M.F., Saraiva, A.M. & Correa, P.L.P., 2008. A reference business process for ecological niche modelling. Ecological informatics 3, pp.75-86.
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Paper Citation


in Harvard Style

Silva Á., Leite M. and Correa P. (2010). Mobile Information System for Species Localization and Modelling Applied to the Amazon Forest . In Proceedings of the International Joint Workshop on Technologies for Context-Aware Business Process Management, Advanced Enterprise Architecture and Repositories and Recent Trends in SOA Based Information Systems - Volume 1: RTSOABIS, (ICEIS 2010) ISBN 978-989-8425-09-6, pages 101-108. DOI: 10.5220/0003029301010108


in Bibtex Style

@conference{rtsoabis10,
author={Álvaro Silva and Marcelo Queiroz Leite and Pedro Luiz Pizzigatti Correa},
title={Mobile Information System for Species Localization and Modelling Applied to the Amazon Forest},
booktitle={Proceedings of the International Joint Workshop on Technologies for Context-Aware Business Process Management, Advanced Enterprise Architecture and Repositories and Recent Trends in SOA Based Information Systems - Volume 1: RTSOABIS, (ICEIS 2010)},
year={2010},
pages={101-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003029301010108},
isbn={978-989-8425-09-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Joint Workshop on Technologies for Context-Aware Business Process Management, Advanced Enterprise Architecture and Repositories and Recent Trends in SOA Based Information Systems - Volume 1: RTSOABIS, (ICEIS 2010)
TI - Mobile Information System for Species Localization and Modelling Applied to the Amazon Forest
SN - 978-989-8425-09-6
AU - Silva Á.
AU - Leite M.
AU - Correa P.
PY - 2010
SP - 101
EP - 108
DO - 10.5220/0003029301010108