A5091278913- Species Distribution and Climate Change
- Fish Ecology and Management Studies
- Ecology and Vegetation Dynamics Studies
- Wildlife Ecology and Conservation
- Genomics and Phylogenetic Studies
- Fish biology, ecology, and behavior
- Fish Biology and Ecology Studies
- Genetic diversity and population structure
- Evolution and Paleontology Studies
- Online Learning and Analytics
- Animal Ecology and Behavior Studies
- Coral and Marine Ecosystems Studies
- Neural Networks and Applications
- Chemical and Environmental Engineering Research
- Technology-Enhanced Education Studies
- Water Resource Management and Quality
- Remote Sensing in Agriculture
- Reservoir Engineering and Simulation Methods
- Forest Ecology and Biodiversity Studies
- Rangeland and Wildlife Management
- Soil Geostatistics and Mapping
- Morphological variations and asymmetry
- Data Analysis with R
- Business, Innovation, and Economy
- Plant and animal studies
Universidade de Vigo
2015-2024
Museo Nacional de Ciencias Naturales
2019
Abstract Aim To determine whether the method used to build distributional maps from raw data influences representation of two principal macroecological patterns: latitudinal gradient in species richness and variation range sizes ( R apoport's rule). Location World‐wide. Methods All available distribution Global Biodiversity Information Facility GBIF) for those fish that are members orders fishes with only marine representatives each order were extracted cleaned so as compare four different...
The data collected by the Global Biodiversity Information Facility (GBIF), some 2.2 billion records, is arguably largest international initiative to digitize and share primary biodiversity data. In this study, we examine global distribution of completeness values discriminating those 30-minute cells that are likely have reliable inventories for most important terrestrial classes Animalia Plantae. aim exploration not only show biases deficiencies in information so far, but also estimate...
Abstract The Global Biodiversity Information Facility (GBIF) is the largest databank on primary biodiversity data. We examined completeness and geographical biases for all insect data GBIF to determine its representativeness. Our results demonstrate that far from providing a reliable representation about global distribution of insects. Despite growing number records during last years, few spatial units are well‐surveyed. At coarse resolutions, 34% world terrestrial cells lack barely 0.5%...
Abstract Aim To examine the pattern and cumulative curve of descriptions freshwater fishes world‐wide, geographical biases in available information on that fauna, relationship between species richness rarity such fishes, as well to assess relative contributions different environmental factors these variables. Location Global. Methods ModestR was used summarize distribution fish using from data‐based records. The first‐order jackknife estimator estimate completeness data all terrestrial...
The aim of the present study was to predict future changes in biodiversity attributes (richness, rarity, heterogeneity, evenness, functional diversity and taxonomic diversity) freshwater fish species river basins around world, under different climate scenarios. To do this, we use a new methodological approach implemented within ModestR software (NOO3D) which allows estimating simple distribution predictions for climatic Data from 16,825 were used, representing total 1,464,232 occurrence...
The ModestR package consists of three applications: MapMaker, DataManager and MRFinder. MapMaker facilitates making range maps by drawing the areas, importing existing data or using Global Biodiversity Information Facility portal. It can discriminate between different habitats, thereby cleaning tasks easier. allows management taxonomically structured databases for maps. MRFinder supports querying to find species present in specific areas. Possible applications include compilation...
Summary Data quality is one of the highest priorities for species distribution data warehouses, as well main concerns users. There need, however, computational procedures with facility to automatically or semi‐automatically identify and correct errors seamlessly integrate expert knowledge automated processes. New version modestr 2.0 ( http://www.ipez.es/ModestR ) makes it easy download occurrence records from Global Biodiversity Information Facility GBIF ), import shape files range maps such...
Species distribution models (SDMs) are broadly used to predict species distributions from available presence data. However, SDMs results have been criticized for several reasons mainly related two basic characteristics of most SDMs: 1) general lack reliable absence information, 2) the frequent use an arbitrary geographical extent (GE) or accessible area species. These impediments motivated us generate a procedure called niche occurrence (NOO). NOO provides probable (realized niche) relying...
Global data sets are essential in macroecological studies. File formats of the few available freshwater ecosystems, however, either incompatible with most software packages, incomplete, or coarse spatial resolutions. We integrated more than 460 million geographical coordinates for habitats FRWater set, partitioned into seven different (lentic, wetlands, reservoirs, small rivers, large ditches, channels, drains and drains) ModestR (http://www.ipez.es/ModestR). A comprehensive collection...
We present and discuss VARSEDIG, an algorithm which identifies the morphometric features that significantly discriminate two taxa validates morphological distinctness between them via a Monte-Carlo test. VARSEDIG is freely available as function of RWizard application PlotsR (http://www.ipez.es/RWizard) R package on CRAN. The variables selected by with overlap method were very similar to those logistic regression discriminant analysis, but overcomes some shortcomings these methods. is,...
We herein present FactorsR, an RWizard application which provides tools for the identification of most likely causal factors significantly correlated with species richness, and depicting on a map richness predicted by Support Vector Machine (SVM) model. As demonstration we used assessment using database incorporating all terrestrial carnivores, total 249 species, distributed across 12 families. The model performed SVM explained 91.9% variance observed in carnivores. Species was higher areas...
El objetivo de este trabajo es mostrar las utilidades del programa informático ModestR, en estudios sobre distribución especies ecosistemas marinos y agua dulce Colombia. Este se encuentra disponible la Web manera gratuita: <http://www.ipez.es/ModestR>. Para enseñar probar el funcionamiento ModestR trabajó con los datos disponibles Global Biodiversity Information Facility (GBIF, 2012) órdenes Characiformes Siluriformes, como ejemplo peces dulciacuícolas, orden Carcharhiniformes...
Understanding the factors shaping species' distributions is a key longstanding topic in ecology with unresolved issues. The aims were to test whether relative contribution of abiotic that set geographical range freshwater fish species may vary spatially and/or depend on extent being considered. factors, discriminate between conditions prevailing area where present and those existing considered extent, was estimated instability index included R package SPEDInstabR. We used 3 different sizes:...
Artificial Neural Networks (ANN's) are nowadays a common subject in different curricula of graduate and postgraduate studies. Due to the complex algorithms involved dynamic nature ANN's, simulation software has been commonly used teach this subject. This usually developed specifically for learning purposes, because existing general packages often lack convenient user interface, too or inadequate these goals. Since ANN's algorithms, types applications grow regularly, solution becomes more...
<title>Abstract</title> Biases and gaps in biodiversity data lead to significant disparities knowledge among species descriptions distributions of different taxonomic groups. These could be addressed by utilizing predictive models, but this requires ensuring that available information is environmentally representative. In study we utilize from GBIF investigate geographical biases, spatial completeness patterns concerning distribution for the main classes terrestrial organism Europe. By...
The quality and coverage of the available taxonomical geographical information recognition that diversity is multi-faceted are two main factors hinder to understand spatial temporal variations biodiversity. In this study, we aim quantify global distribution five components used assess freshwater fish in river basins around world. multidimensional character these was estimated so obtained dimensions mapped. This done taking into account those well-surveyed discriminated by considering...