Argitalpenak (65) EMILIO GARCIA ROSELLO argitalpenak

2023

  1. GBIF falls short of providing a representative picture of the global distribution of insects

    Systematic Entomology, Vol. 48, Núm. 4, pp. 489-497

  2. Taking advantage of opportunistically collected historical occurrence data to detect responses to climate change: The case of temperature and Iberian dung beetles

    Ecology and Evolution, Vol. 13, Núm. 12

  3. The biased distribution of existing information on biodiversity hinders its use in conservation, and we need an integrative approach to act urgently

    Biological Conservation, Vol. 283

2021

  1. Predicting the effects of climate change on future freshwater fish diversity at global scale

    Nature Conservation, Vol. 43, pp. 1-24

2019

  1. A simple method to estimate the probable distribution of species

    Ecography, Vol. 42, Núm. 9, pp. 1613-1622

  2. NOO3D: A procedure to perform 3D species distribution models

    Ecological Informatics, Vol. 54

  3. SINENVAP: An algorithm that employs kriging to identify optimal spatial interpolation models in polygons

    Ecological Informatics, Vol. 53

  4. VIDTAXA: An algorithm for the identification of statistically different groups based on variability obtained in factorial analyses

    Ecological Informatics, Vol. 49, pp. 62-68

2018

  1. A predictive diatom-based model to assess the ecological status of streams and rivers of Northern Spain

    Ecological Indicators, Vol. 90, pp. 519-528

  2. A procedure to assess the spatial variability in the importance of abiotic factors affecting distributions: THE case of world freshwater fishes

    Current Zoology, Vol. 64, Núm. 5, pp. 549-557

  3. Completeness of national freshwater fish species inventories around the world

    Biodiversity and Conservation, Vol. 27, Núm. 14, pp. 3807-3817

  4. KnowBR: An application to map the geographical variation of survey effort and identify well-surveyed areas from biodiversity databases

    Ecological Indicators, Vol. 91, pp. 241-248

2017

  1. DER: An algorithm for comparing species diversity between assemblages

    Ecological Indicators, Vol. 81, pp. 41-46

  2. SPEDInstabR: An algorithm based on a fluctuation index for selecting predictors in species distribution modeling

    Ecological Informatics, Vol. 37, pp. 18-23

2016

  1. Geospatial data of freshwater habitats for macroecological studies: an example with freshwater fishes

    International Journal of Geographical Information Science, Vol. 30, Núm. 1, pp. 126-141

  2. VARSEDIG: An algorithm for morphometric characters selection and statistical validation in morphological taxonomy

    Zootaxa, Vol. 4162, Núm. 3, pp. 571-580

2015

  1. Can we derive macroecological patterns from primary Global Biodiversity Information Facility data?

    Global Ecology and Biogeography, Vol. 24, Núm. 3, pp. 335-347

  2. FactorsR: An RWizard application for identifying the mostm likely causal factors in controlling species Richness

    Diversity, Vol. 7, Núm. 4, pp. 385-396

  3. Global diversity patterns of freshwater fishes - Potential victims of their own success

    Diversity and Distributions, Vol. 21, Núm. 3, pp. 345-356

2014

  1. An invertebrate predictive model (NORTI) for streams and rivers: Sensitivity of the model in detecting stress gradients

    Ecological Indicators, Vol. 45, pp. 51-62