Luis Gonzalez Vilas

Luis Gonzalez Vilas
University of Vigo | UVIGO · Department of Applied Physics

Doctor Marine Sciences

About

43
Publications
9,898
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
731
Citations
Introduction
My research interests lie on biological oceanography, studying marine and coastal environments using data-driven approaches and remote sensing data. My current work is focused on developing algorithms, techniques, and indices to monitor water quality, assess marine ecosystems and detect and forecast marine organisms, including Harmful Algae Blooms(HAB)-forming taxonomic groups and species.

Publications

Publications (43)
Article
Full-text available
This work presents new prediction models based on recent developments in machine learning methods, such as Random Forest (RF) and AdaBoost, and compares them with more classical approaches, i.e., support vector machines (SVMs) and neural networks (NNs). The models predict Pseudo-nitzschia spp. blooms in the Galician Rias Baixas. This work builds on...
Article
Full-text available
The aim of the present study was to predict future changes in biodiversity attributes (richness, rarity, heterogeneity, evenness, functional diversity and taxonomic diversity) of freshwater fish species in river basins around the world, under different climate scenarios. To do this, we use a new methodological approach implemented within the Modest...
Article
Full-text available
Surface waters are a fundamental resource. They fulfil key function in global biogeochemical cycles and are core to our water, food and energy security. The rapidly increasing rate of data collection from different Earth observation (EO) missions suitable for observing water bodies has promoted satellite remote sensing (RS) as a more widely recogni...
Article
Full-text available
The Mediterranean Large Elasmobranchs Monitoring (MEDLEM) database contains over 3000 records (more than 4000 individuals) of large elasmobranch species from 20 different countries around the Mediterranean and Black seas, observed from 1666 to 2017. The main species included in the archive are the devil fish (1 813 individuals), the basking shark (...
Article
Full-text available
Harmful Algae Blooms (HABs) in the Rias Baixas area (Galicia) cause a strong ecological and economic impact, since they can even force the closure of the rafts production areas for mollusc culture. In this work, we introduce a method for detection and monitoring of HABs in Galicia based on the analysis of map products derived from optical satellite...
Article
There is consensus surrounding the need to include a third dimension when estimating Species Distribution Models (SDMs), which is of special interest for marine species. Application of the third dimension is, however, rarely available, thus users are obliged to manually combine 2D SDM outputs (i.e., suitability or presence/absence maps) for 3D dist...
Article
Full-text available
The NW coast of the Iberian Peninsula is dominated by extensive shellfish farming, which places this region as a world leader in mussel production. Harmful algal blooms in the area frequent lead to lengthy harvesting closures threatening food security. This study developed a framework for the detection of Pseudo-nitzschia blooms in the Galician ria...
Article
The aim of the SINENVAP algorithm is to facilitate the estimation of spatial interpolations within polygons, by using simple, ordinary, and universal kriging. This algorithm is available as a function of the EcoIndR package, which is available as an RWizard application and an R package on CRAN. The main strengths of this algorithm include: the poss...
Presentation
Full-text available
Evaluation of Sentinel-2 and -3 water quality products over European coastal and transitional waters, including chlorophyll-a, seagrass density, primary productivity, phytoplankton size classes, and harmful algal bloom detection.
Article
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 to two basic characteristics of most SDMs: 1) general lack of reliable species absence information, 2) the frequent use of an arbitrary geographical extent (...
Article
Full-text available
The aim was to discriminate the countries with relatively comprehensive inventories of freshwater fishes from those with insufficiently prospected inventories. We used a data set of 16,734 freshwater fish species with a total of 1,373,449 occurrence records. Accumulation curves relating the increase in the number of species to the number of records...
Article
Biodiversity databases are typically incomplete and biased. We identify their three main limitations for characterizing the geographic distributions of species: unknown levels of survey effort, unknown absences of a species from a region, and unknown level of repeated occurrence of a species in different samples collected at the same location. Thes...
Article
Full-text available
Invasive species from the Suez Canal, also named "Lessepsian species", often have an ecological and financial impact on marine life, fisheries, human well-being and health in the Mediterranean Sea. Among these, the silver-cheeked toad-fish Lagocephalus sceleratus (Gmelin, 1789) has rapidly colonised the eastern Mediterranean basin and is currently...
Article
Full-text available
Understanding the factors shaping species’ distribution is a key longstanding topic in ecology with unresolved issues. The aims were to test whether the relative contribution of abiotic factors that set the geographical range of freshwater fish species may vary spatially and/or may depend on the geographical extent that is being considered. The rel...
Article
There is no single diversity index that adequately summarises species diversity, since this is a multidimensional concept and hence should be quantified using a compound statistical measure. Here, we present the DER algorithm, available as an R package on CRAN and as an RWizard application on http://www.ipez.es/RWizard. This algorithm provides tool...
Article
Full-text available
We present and discuss VARSEDIG, an algorithm which identifies the morphometric features that significantly discriminate two taxa and validates the morphological distinctness between them via a Monte-Carlo test. VARSEDIG is freely available as a function of the RWizard application PlotsR (http://www.ipez.es/RWizard) and as R package on CRAN. The va...
Article
Full-text available
We herein present FactorsR, an RWizard application which provides tools for the identification of the most likely causal factors significantly correlated with species richness, and for depicting on a map the species richness predicted by a Support Vector Machine (SVM) model. As a demonstration of FactorsR, we used an assessment using a database inc...
Article
Full-text available
Global data sets are essential in macroecological studies. File formats of the few available data sets of freshwater ecosystems, however, are either incompatible with most macroecological software packages, incomplete, or of coarse spatial resolutions. We integrated more than 460 million geographical coordinates for freshwater habitats in the FRWat...
Article
AimTo determine whether the method used to build distributional maps from raw data influences the representation of two principal macroecological patterns: the latitudinal gradient in species richness and the latitudinal variation in range sizes (Rapoport's rule).LocationWorld-wide.Methods All available distribution data from the Global Biodiversit...
Article
Full-text available
AimTo examine the pattern and cumulative curve of descriptions of freshwater fishes world-wide, the geographical biases in the available information on that fauna, the relationship between species richness and geographical rarity of such fishes, as well as to assess the relative contributions of different environmental factors on these variables.Lo...
Poster
Full-text available
The Rias Baixas, located to the Northwest of Spain, along the northern boundary of the NW Africa upwelling system, is one of the most important areas of production of seafood in the world. In this area, thousands of commercial mussel platforms produced significant economic benefits for the region. Episodes of oceanic upwelling regulate the dynamics...
Article
1. Data quality is one of the highest priorities for species distribution data warehouses, as well as one of the main concerns of data users. There is the need, however, for computational procedures with the facility to automatically or semi-automatically identify and correct errors, and to seamlessly integrate expert knowledge and automated proces...
Article
Full-text available
Phytoplanktonic blooms in the coastal embayments (rias) at the NW part of Spain were mentioned for the first time in 1918 and since then they have been associated numerous times with negatives impacts to a very important economic activity in the area, mussel production. In this study, eight years of Pseudo-nitzschia spp. abundance and associated me...
Conference Paper
Biofuel production from microalgae can be both sustainable and economically viable. Particularly in the case of algal growth in wastewater an extra benefit is the removal or biotransformation of pollutants from these types of waters. A continuous monitoring system of the microalgae status and the concentration of different wastewater contaminants c...
Article
In typical case 2 waters an accurate remote sensing retrieval of chlorophyll a (chla) is still challenging. There is a widespread understanding that universally applicable water constituent retrieval algorithms are currently not feasible, shifting the research focus to regionally specific implementations of powerful inversion methods. This study ta...
Article
Full-text available
The aim of this manuscript is to show the usefulness of the software package ModestR in studies of distribution of Colombian marine and freshwater species. This software is free available at the Website: <http://www.ipez.es/ ModestR>. To show and test the potential of ModestR, here an exemplar assessment is presented of a database using all valid s...
Article
The Ria de Vigo (northwest Spain) is a coastal inlet strongly influenced by the processes of coastal upwelling and downwelling on the adjacent continental shelf, which in their turn have an effect on the productivity and the cultivation of mussels on this area. Chlorophyll and sea surface temperature (SST) data from satellite (MERIS, MODIS or (A)AT...
Article
The Galician coastal waters are highly productive with an abundant fishing that plays an important role in the economy of the region. The phytoplankton is the basis of the trofic chain in the oceans and its abundance is a good index to estimate the productivity. The phytoplankton concentration can be estimated by using remote sensing tools through...
Article
This study takes advantage of a regionally specific algorithm and the characteristics of Medium Resolution Imaging Spectrometer (MERIS) in order to deliver more accurate, detailed chlorophyll a (chla) maps of optically complex coastal waters during an upwelling cycle. MERIS full resolution chla concentrations and in situ data were obtained on the G...
Article
In typical Case 2 waters, accurate remote sensing retrieval of chlorophyll a (chla) is still a challenging task. In this study, focusing on the Galician rias (ΝW Spain), algorithms based on neural network (NN) techniques were developed for the retrieval of chla concentration in optically complex waters, using Medium Resolution Imaging Spectrometer...
Article
Full-text available
In this study an neural network-based algorithm was developed in the framework of the projects "PROFIT-PGIDIT07REM014E" and "INCITE 2007 FIT120000-2007-137" in collaboration with the Fishing Vessel Owners' Cooperative of the Port of Vigo (ARVI) in order to predict and optimize the fishing vessels route. Data were provided from six fishing ships ope...
Chapter
7. Vertidos de hidrocarburos.J. M. Torres, L. González-Vilas, G. Navarro y J. Pérez-Marrero 7.1.Introducción 7.2. Sensores utilizados para la detección de hidrocarburos 7.3. Detección de vertidos mediante imágenes SAR 7.4. Detección de vertidos mediante radiómetros 7.5. Sistemas automáticos de detección de vertidos a partir de imágenes SAR 7.5...
Article
Full-text available
Space‐borne synthetic aperture radar has been proven to be a useful tool for ocean oil spill monitoring due to its large coverage, independence of the day–night cycle and all‐weather capability. In this paper, a method for oil spill detection based on a visual interpretation was applied to two consecutive Advanced Synthetic Aperture Radar (ASAR) im...
Article
Full-text available
The surface circulation off the western coast of the Iberian Peninsula is strongly influenced by the atmospheric pressure distribution in the North Atlantic. During the winter season, the combination of the onshore Ekman transport and the geostrophic adjustment of the large-scale oceanic zonal flow causes the appearance of a seasonal poleward along...
Article
Periodic blooms of Pseudonitzschia spp. in Galicien coastal areas have caused virtual collapse of ecosystems with accomp anying serious economic impacts. The aim of this work is the study of the physical environment of a coastal system correlating different bands of MERIS data with in situ chlorophyll data provided by the Marine Environment Quality...
Article
Full-text available
In typical case 2 waters an accurate remote sensing retrieval of chlorophyll a (chla) is still challeng-ing. There is a widespread understanding that universally applicable water constituent retrieval al-gorithms are currently not feasible, shifting the research focus to regionally specific implementa-tions of powerful inversion methods. In this st...

Network

Cited By

Projects

Projects (2)
Project
Invitation to submit: We would like to invite authors to submit their works on innovative methods and applications using remote sensing data to study the temporal and/or spatial distribution of marine organisms, including seagrass, phytoplankton, fish, or marine mammals. Potential topics include but are not necessarily limited to: - Integration of marine remote sensing data and species distribution models; - Identification of key environmental factors for distribution of marine species; - Assessments of marine biodiversity and/or habitat conditions; - Development and application of short- or long-term prediction models of marine species; - Mapping of seagrass meadows or coral reefs; - Analysis of time series of species distributions based on historical remote sensing data; - Evaluation of the status of fish stocks.
Project
We are trying to improve the prediction of Pseudo-nitzschia spp. blooms at Galicia (NW Spain) using several machine learning techniques (neural network, SVM, etc.)