Computer environment for modeling of spice distribution

• Grant number: 04/11012-0
• Support Opportunities: Research Projects - Thematic Grants
• Start date: April 01, 2005
• End date: September 30, 2009
• Field of knowledge: Biological Sciences - Ecology - Applied Ecology
• Principal Investigator: Vanderlei Perez Canhos
• Grantee: Vanderlei Perez Canhos
• Host Institution: Centro de Referência em Informação Ambiental (CRIA). Campinas , SP, Brazil
• Associated scholarship(s): 09/14580-3 - Biodiversity informatics: development of a schema for exchanging pollinator-plant interaction data, BE.PQ; 06/03946-9 - Tool for analyzing data on species distribution using parallel processing, BP.IC

Abstract

Conciliating social and economic development with environmental conservation is a major challenge. Strategies for sustainable development are increasingly based on the availability of high quality information and analytical tools. There is a strong demand for quick answers to solve specific problems associated with the occurrence and distribution of biological species, such as invasive or endangered species. Answers will increasingly depend on access to and integration of data from distributed sources and the use of advanced computational tools for analysis, spatial visualization, and building of different scenarios. This project proposes to develop a framework to facilitate the work of scientists in predictive modeling of species distribution. This involves addressing issues concerned with species occurrence and absence data, environmental data, dataset preparation, modeling algorithms, pre and post-analysis, component-based software development, high performance computing, web services, and web and desktop interfaces. Three research institutions of São Paulo State are committed to this project: CRIA (Centro de Referência em Informação Ambiental), Escola Politécnica da USP, and INPE (Instituto Nacional de Pesquisas Espaciais). (AU)

Scientific publications

(9)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MOREIRA, EVALDINOLIA; COSTA, SERGIO; AGUIAR, ANA PAULA; CAMARA, GILBERTO; CARNEIRO, TIAGO. Dynamical coupling of multiscale land change models. LANDSCAPE ECOLOGY, v. 24, n. 9, SI, p. 1183-1194, NOV 2009. (04/11012-0)

KARLA DONATO FOOK; SILVANA AMARAL; ANTÔNIO MIGUEL VIEIRA MONTEIRO; GILBERTO CÂMARA; ARIMATÉA DE CARVALHO XIMENES; LUCIANA SATIKO ARASATO. Modelos de distribuição de espécies disponíveis na Web para reutilização em experimentos de biodiversidade: estudo de caso com a espécie Euterpe edulis. Sociedade e Natureza, v. 21, n. 1, p. 39-49, 2009-04-00. (04/11012-0)

SANTANA‚ FS; DE SIQUEIRA‚ MF; SARAIVA‚ AM; CORREA‚ PLP. A reference business process for ecological niche modelling. ECOLOGICAL INFORMATICS, v. 3, n. 1, p. 75-86, 2008. (04/11012-0)

MOREIRA, EVALDINOLIA; COSTA, SERGIO; AGUIAR, ANA PAULA; CAMARA, GILBERTO; CARNEIRO, TIAGO. Dynamical coupling of multiscale land change models. LANDSCAPE ECOLOGY, v. 24, n. 9, p. 12-pg., 2009-11-01. (04/11012-0)

GIANNINI, TEREZA C.; SARAIVA, ANTONIO M.; ALVES-DOS-SANTOS, ISABEL. Ecological niche modeling and geographical distribution of pollinator and plants: A case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae). ECOLOGICAL INFORMATICS, v. 5, n. 1, p. 8-pg., 2010-01-01. (04/15801-0, 04/11012-0)

GIANNINI, TEREZA C.; SARAIVA, ANTONIO M.; ALVES-DOS-SANTOS, ISABEL. Ecological niche modeling and geographical distribution of pollinator and plants: A case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae). ECOLOGICAL INFORMATICS, v. 5, n. 1, SI, p. 59-66, JAN 2010. (04/11012-0, 04/15801-0)

FONSECA‚ F.; CÂMARA‚ G.; MONTEIRO‚ A.M.. A framework for measuring the interoperability of geo-ontologies. Spatial Cognition and Computation, v. 6, n. 4, p. 309-331, 2006. (04/11012-0)

SANTANA, FABIANA; BRAVO PARIENTE, CESAR ALBERTO; SARAIVA, ANTONIO MAURO; ZHANG, C; PALANISAMY, B; KHAN, L; SARVESTANI, SS. Species Distribution Modeling with Scalability: The Case Study of P-GARP, a Parallel Genetic Algorithm for Rule-set Production. 2017 IEEE 18TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IEEE IRI 2017), v. N/A, p. 9-pg., 2017-01-01. (04/11012-0)

DAVIS, CLODOVEU A., JR.; FONSECA, FREDERICO T.; CAMARA, GILBERTO. Beyond SDI: Integrating Science and Communities to Create Environmental Policies for the Sustainability of the Amazon. INTERNATIONAL JOURNAL OF SPATIAL DATA INFRASTRUCTURES RESEARCH, v. 4, p. 19-pg., 2009-01-01. (04/11012-0)