SPECIES: A platform for the exploration of ecological data
Por:
Stephens C.R., Sierra-Alcocer R., González-Salazar C., Barrios J.M., Salazar Carrillo J.C., Robredo Ezquivelzeta E., del Callejo Canal E.
Publicada:
1 ene 2019
Resumen:
The modeling of ecological data that include both abiotic and biotic factors is fundamental to our understanding of ecosystems. Repositories of biodiversity data, such as GBIF, iDigBio, Atlas of Living Australia, and SNIB (Mexico's National System of Biodiversity Information), contain a great deal of information that can lead to knowledge discovery about ecosystems. However, there is a lack of tools with which to efficiently extract such knowledge. In this paper, we present SPECIES, an open, web-based platform designed to extract implicit information contained in large scale sets of ecological data. SPECIES is based on a tested methodology, wherein the correlations of variables of arbitrary type and spatial resolution, both biotic and abiotic, discrete and continuous, may be explored from both niche and network perspectives. In distinction to other modeling systems, SPECIES is a full stack exploratory tool that integrates the three basic components: data (which is incrementally growing), a statistical modeling and analysis engine, and an interactive visualization front end. Combined, these components provide a powerful tool that may guide ecologists toward new insights. SPECIES is optimized to support fast hypothesis prototyping and testing, analyzing thousands of biotic and abiotic variables, and presenting descriptive results to the user at different levels of detail. SPECIES is an open-access platform available online (http://species.conabio.gob.mx), that is, powerful, flexible, and easy to use. It allows for the exploration and incorporation of ecological data and its subsequent integration into predictive models for both potential ecological niche and geographic distribution. It also provides an ecosystemic, network-based analysis that may guide the researcher in identifying relations between different biota, such as the relation between disease vectors and potential disease hosts. © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.
Filiaciones:
Stephens C.R.:
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
Univ Nacl Autonoma Mexico, Ctr Ciencias Complejidad, Mexico City, DF, Mexico
Univ Nacl Autonoma Mexico, Inst Ciencias Nucl, Mexico City, DF, Mexico
Sierra-Alcocer R.:
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Mexico City, Mexico
Univ Nacl Autonoma Mexico, Ctr Ciencias Complejidad, Mexico City, DF, Mexico
Comis Nacl Conocimiento & Uso Biodiversidad CONAB, Mexico City, DF, Mexico
González-Salazar C.:
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
Departamento de Ciencias Ambientales, Universidad Autónoma Metropolitana, Unidad Lerma, Estado de Mexico, Mexico
Univ Nacl Autonoma Mexico, Ctr Ciencias Complejidad, Mexico City, DF, Mexico
Univ Autonoma Metropolitana, Dept Ciencias Ambientales, Unidad Lerma, Mexico City, Estado De Mexic, Mexico
Barrios J.M.:
Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Mexico City, Mexico
Comis Nacl Conocimiento & Uso Biodiversidad CONAB, Mexico City, DF, Mexico
Salazar Carrillo J.C.:
Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Mexico City, Mexico
Comis Nacl Conocimiento & Uso Biodiversidad CONAB, Mexico City, DF, Mexico
Robredo Ezquivelzeta E.:
Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Mexico City, Mexico
Comis Nacl Conocimiento & Uso Biodiversidad CONAB, Mexico City, DF, Mexico
del Callejo Canal E.:
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
Univ Nacl Autonoma Mexico, Ctr Ciencias Complejidad, Mexico City, DF, Mexico
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