Resultados totales (Incluyendo duplicados): 45603
Encontrada(s) 4561 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222577
Dataset. 2020

ESTUDIO SOBRE LA METEOROLOGÍA, NIVELES Y COMPOSICIÓN DE LAS PARTÍCULAS EN SUSPENSIÓN DURANTE LA SUPERCALIMA DE FEBRERO DE 2020 EN CANARIAS – BASE DE DATOS DE COMPOSICIÓN QUÍMICA

  • Rodríguez, Sergio
  • De La Rosa, Jesús D.
  • López-Darias, Jessica
Sergio Rodríguez Jesús de la Rosa y Jessica López-Darias. Base de datos del Estudio sobre la meteorología, niveles y composición de las partículas en suspensión durante la SuperCalima de febrero de 2020 en Canarias. Informe del CSIC, la Universidad e Huelva y la Universidad de La Laguna para la Consejería de Transición Ecológica, Lucha contra el Cambio Climático y Planificación Territorial del Gobierno de Canarias., This dataset contains observations of chemical composition of PM10 airborne particles during February 2020 at El Rio site (Tenerife, Canary Islands, 28.145140oN, 16.523732oW, 500 meters above sea level), including the period 22-24 February, when the Canary Islands were impacted by a severe dust storm. Elemental composition was determined by IPC-OES and IPC-MS (after acid HNO3 : HF : HClO4 digestion), ions and cations by ion chromatography (after leaching in ultrasound bath) and elemental and organic carbon by Thermo-Optical Transmittance., Estudio financiado por el Gobierno de Canarias. Consejería de Transición Ecológica, Lucha contra el Cambio Climático y Planificación Territorial., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/222577
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222577
HANDLE: http://hdl.handle.net/10261/222577
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222577
PMID: http://hdl.handle.net/10261/222577
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222577
Ver en: http://hdl.handle.net/10261/222577
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222577

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222927
Dataset. 2020

AEROSOL CHEMISTRY AND SOLUBLE IRON IN TENERIFE, BARBADOS AND MIAMI IN SUMMER 2015 - DATASET

  • Rodríguez, Sergio
  • Prospero, J.M.
  • López-Darias, Jessica
  • García, M. Isabel
  • Zuidema, Paquita
  • Nava, Silvia
  • Lucarelli, Franco
  • Gaston, Cassandra J.
  • Galindo, Luis
  • Sosa, Elisa
This dataset contains data of aerosol chemistry and soluble iron collected in Tenerife, Barbados and Miami in summer 2015 within the frame of the project AEROATLAN (reference CGL2015-66299-P), funded by the Minister of Economy and Competitiveness of Spain and by the European Regional Development Fund., This dataset was obtained within the frame of the project AEROATLAN (reference CGL2015-66299-P), funded by the Minister of Economy and Competitiveness of Spain and by the European Regional Development Fund., No

DOI: http://hdl.handle.net/10261/222927
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222927
HANDLE: http://hdl.handle.net/10261/222927
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222927
PMID: http://hdl.handle.net/10261/222927
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222927
Ver en: http://hdl.handle.net/10261/222927
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/222927

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223009
Dataset. 2020

SURVEY 'SCIENTIFIC CULTURE, PERCEPTION AND ATTITUDES TOWARDS SCIENCE AND INNOVATION IN THE SPANISH BUSINESS SECTOR'. DATASET

ENCUESTA 'CULTURA CIENTÍFICA, PERCEPCIÓN Y ACTITUDES ANTE LA CIENCIA Y LA INNOVACIÓN EN EL SECTOR EMPRESARIAL ESPAÑOL'. FICHERO DE DATOS

  • Rey-Rocha, Jesús
  • López Navarro, Irene
The ‘Scientific Culture at Enterprises’ (SCe) project aims to identify the different factors that characterize the image of science held by entrepreneurs and business managers, explore the relationships among these factors, and shed light on the role they play in defining this image and ultimately in developing a culture of science in the business sector. This dataset includes the raw data of the survey 'Scientific Culture, Perception and Attitudes towards Science and Innovation in the Spanish Business Sector', carried out with a specially designed telephone survey questionnaire of a representative sample of Spanish companies., El proyecto 'Cultura Científica Empresarial' tiene como objetivo identificar los factores que caracterizan la imagen de la ciencia de los empresarios y directivos de empresas, explorar las relaciones entre estos factores e investigar su papel en la definición de una cultura científica en el sector empresarial. El presente conjunto de datos procede de la encuesta 'Cultura Científica, Percepción y Actitudes ante la Ciencia y la Innovación en el Sector Empresarial Español', realizada telefónicamente a una muestra representativa de las empresas españolas., Survey work funded by the Spanish Ministry of Economy, Industry and Competitiveness. Spanish National Plan for Scientific and Technical Research and Innovation. Research Project CSO2014-53293-R, Encuesta financiada por el Ministerio de Economía y Competitividad. Plan Estatal de Investigación Científica y Técnica y de Innovación. Proyecto CSO2014-53293-R, - Survey technical details (Ficha técnica de la encuesta): File ‘TechnicalDetails_Español+English': - Codebook and coding standards followed for all variables (Libro de códigos y codificación utilizada para todas las variables): Files ‘Codebook' and ‘LibroCodigos'; - Syntax (Sintaxis): Files 'Syntax' and 'Sintaxis'; - Microdata ASCII (Microdatos ASCII): File 'MicrodataASCII'; - Questionnaire in Spanish and English (Cuestionario en español e inglés): File ‘Questionaire_Español+English’, No

Proyecto: //
DOI: http://hdl.handle.net/10261/223009
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223009
HANDLE: http://hdl.handle.net/10261/223009
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223009
PMID: http://hdl.handle.net/10261/223009
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223009
Ver en: http://hdl.handle.net/10261/223009
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223009

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223057
Dataset. 2020

MAJOR ELEMENTS GEOCHEMISTRY OF PICO CABRAS DOME’S EXPLOSIVE AND EFFUSIVE PRODUCTS (TENERIFE) [DATASET]

  • Dorado García, Olaya
  • Andújar, Juan
  • Martí Molist, Joan
  • Geyer, Adelina
The dataset contains all the chemical data collected for the work “Mechanisms controlling explosive-effusive transition of Teide-Pico Viejo dome eruptions”. The samples were taken from Pico Cabras dome (Tenerife), including deposits of the sub-plinian fallout (explosive phase) and the lava flow and dome (effusive phase). The samples were analysed with a Scanning Electron Microscope (SEM) Merlin Compact ZEISS with an EDS Bruker detector (QUANTAX-XFlash6-30mm2-129eV) at the Institut des Science de la Terre d’ Orleans (ISTO) Measures Physiques laboratory (Centre National de la Recherche Scientifique, Orleans, France). Additionally, we performed a micro X-Ray Flourescence (Micro-XRF) analysis using the XTRACE detector (Tube Rh – filtres Al, Ti, Ni) connected to the SEM, which was calibrated against inner Br glassy standards containing different amounts of Br (Faranda et al., 2019) in order to analyse Br in sodalite and glass in the pumice samples. Mineral phase compositions were obtained with an electron microprobe SX-FIVE, also at the ISTO. An acceleration voltage of 15kV, a sample current of 6nA, and a counting time of 10s were used. For the glasses, a defocused beam of 10μm and 20μm was used, whereas for minerals a focused beam was employed. Whole-rock data was obtained by analysing two glass samples resulting from the two-step melting (with grinding in between) of lava and pumice samples at 1400ºC for 4 hours in total time, respectively. The aim of the study was contributing to the understanding of the mechanisms that control the transition between explosive and effusive dynamics in dome-forming eruptions at T-PV stratovolcanoes and propose a conceptual model for the magmatic reservoir of Pico Cabras prior to eruption. In this dataset we collect all de geochemical data obtained in the study. The Excel file consists of seven sheets, each one corresponding with one of the principal phases found in the samples: feldspars, pyroxenes, biotites, magnetites, ilmenites, sodalites and glasses (including the whole-rock analysis resulting from the obsidian obtained in the melting of the samples). The four analysed samples were given a International GeoSample Number (IGSN) for their correct identification. IEODG0001, IEODG0002 and IEODG0004 are samples from the effusive phase of Pico Cabras dome eruption (the later corresponding to an obsidian sample from the dome itself). IEODG0003 are pumices samples from the explosive phase in which minerals and glass fragments were selected for analysis., The dataset contains all the chemical data collected for the work “Mechanisms controlling explosive-effusive transition of Teide-Pico Viejo dome eruptions”. The samples were taken from Pico Cabras dome (Tenerife), including deposits of the sub-plinian fallout (explosive phase) and the lava flow and dome (effusive phase). The samples were analysed with a Scanning Electron Microscope (SEM) Merlin Compact ZEISS with an EDS Bruker detector (QUANTAX-XFlash6-30mm2-129eV) at the Institut des Science de la Terre d’ Orleans (ISTO) Measures Physiques laboratory (Centre National de la Recherche Scientifique, Orleans, France). Additionally, we performed a micro X-Ray Flourescence (Micro-XRF) analysis using the XTRACE detector (Tube Rh – filtres Al, Ti, Ni) connected to the SEM, which was calibrated against inner Br glassy standards containing different amounts of Br (Faranda et al., 2019) in order to analyse Br in sodalite and glass in the pumice samples. Mineral phase compositions were obtained with an electron microprobe SX-FIVE, also at the ISTO. An acceleration voltage of 15kV, a sample current of 6nA, and a counting time of 10s were used. For the glasses, a defocused beam of 10μm and 20μm was used, whereas for minerals a focused beam was employed. Whole-rock data was obtained by analysing two glass samples resulting from the two-step melting (with grinding in between) of lava and pumice samples at 1400ºC for 4 hours in total time, respectively. The aim of the study was contributing to the understanding of the mechanisms that control the transition between explosive and effusive dynamics in dome-forming eruptions at T-PV stratovolcanoes and propose a conceptual model for the magmatic reservoir of Pico Cabras prior to eruption. In this dataset we collect all de geochemical data obtained in the study. The Excel file consists of seven sheets, each one corresponding with one of the principal phases found in the samples: feldspars, pyroxenes, biotites, magnetites, ilmenites, sodalites and glasses (including the whole-rock analysis resulting from the obsidian obtained in the melting of the samples). The four analysed samples were given a International GeoSample Number (IGSN) for their correct identification. IEODG0001, IEODG0002 and IEODG0004 are samples from the effusive phase of Pico Cabras dome eruption (the later corresponding to an obsidian sample from the dome itself). IEODG0003 are pumices samples from the explosive phase in which minerals and glass fragments were selected for analysis., This study has been partially funded by EC Grant EVE (ref: DG ECHO H2020 826292) and was financially support by the Equipex-Planex ANR-11-EQPX-0036 and Labex-Voltaire from Orléans., Excel file: Dorado et al., (2020). Pico Cabras products chemistry. 7 sheets: Feldspar, Piroxene, Biotite, Magnetite, Ilmenite, Sodalite, Glass., No

Proyecto: //
DOI: http://hdl.handle.net/10261/223057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223057
HANDLE: http://hdl.handle.net/10261/223057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223057
PMID: http://hdl.handle.net/10261/223057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223057
Ver en: http://hdl.handle.net/10261/223057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223057

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223231
Dataset. 2020

DATASET: THE PHOTOCURRENT-COMPOSITION DEPENDENCE OF BINARY BULK HETEROJUNCTION ORGANIC SOLAR CELLS-COMBINING HIGH THROUGHPUT EXPERIMENTATION AND ARTIFICIAL INTELLIGENCE MODELS

  • Rodríguez Martínez, Xabier
  • Pascual San José, Enrique
  • Guimerà, Roger
  • Garriga Bacardi, Miquel
  • Campoy Quiles, Mariano
This dataset corresponds to the article: "Predicting the photocurrent-composition dependence in organic solar cells" Xabier Rodríguez-Martínez, Enrique Pascual-San-José, Zhuping Fei, Martin Heeney, Roger Guimerà and Mariano Campoy-Quiles The article was first published on 07 Jan 2021 Energy Environ. Sci., 2021 DOI: 10.1039/D0EE02958K The dataset is divided into five main folders, which are briefly described below. - The "Descriptors" folder contains the detailed lists of optoelectronic descriptors used for the different training procedures performed throughout the work, i.e., a random selection of parameters, a hand-picked selection of parameters and a median of their corresponding distributions. The database of HOMO/LUMO levels and mobilities as retrieved from literature is included as well in an Excel spreadsheet. - The "Discrete devices" folder contains the photovoltaic figures-of-merit (open-circuit voltage, short-circuit current density, fill factor and power conversion efficiency) of the devices prepared at controlled donor:acceptor ratios. In these samples, the active layer thickness was screened in a high-throughput fashion using lateral gradients. Therefore, the variations observed at a given donor:acceptor ratio are solely due to the change in active layer thickness. - The "Graded devices" folder contains Raman mapping and Light-Beam Induced Current (LBIC) data for the 2D combinatorial devices, i.e. those including and orthogonal arrangement of active layer thickness and donor:acceptor ratio gradients on a single large area substrate. - The "Figures" folder contains a Jupyter Notebook file and, alternatively, a Python script, whose full execution in a row generates the figures of the main text and its Electronic Supplementary Information. These codes are designed to run with Python 3.7.3 and Scikit-Learn v0.22.2, while accessing data from other main folders (including "Descriptors", "Discrete devices" and "Graded devices") and subfolders ("Pools" and "Supplementary data"). For this reason, either code must be executed right from their original location within the "Figures" folder while keeping the original folder labels as well. - Finally, the "Raw data" folder contains the binary files generated as per the optoelectronic characterization of the 2D combinatorial devices. These were extracted employing our WITec alpha 300 RA+ confocal Raman setup in combination with LBIC and White-Beam Induced Current (WhiteBIC) measurements. We include as well scripts compatible with GNU Octave (*.m) to display the raw data., This dataset corresponds to the open-source article with DOI 10.1039/D0EE02958K. The package contains (i) the detailed lists of optoelectronic descriptors used to feed machine-learning algorithms; (ii) the photovoltaic figures-of-merit of the organic solar cells therein fabricated; (iii) the photocurrent-composition dependence obtained in 15 different donor:acceptor organic photovoltaic blends using high-throughput combinatorial experimentation; (iv) a set of Python scripts to reproduce the figures of the main text of the article and its supplementary information; and (v) the raw data as extracted from confocal Raman imaging and photocurrent mapping., The dataset is divided into five main folders, which are briefly described in the following lines. The "Descriptors" folder contains the detailed lists of optoelectronic descriptors used for the different training procedures performed throughout the work. The "Discrete devices" folder contains the photovoltaic figures-of-merit (open-circuit voltage, short-circuit current density, fill factor and power conversion efficiency) of the devices prepared at controlled donor:acceptor ratios. The "Graded devices" folder contains Raman mapping and Light-Beam Induced Current (LBIC) data for the 2D combinatorial devices. The "Figures" folder contains a Jupyter Notebook file and, alternatively, a Python script, whose full execution in a row generates the figures of the main text and its supplementary information. Finally, the "Raw data" folder contains the binary files generated as per the optoelectronic characterization of the 2D combinatorial devices., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/223231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223231
HANDLE: http://hdl.handle.net/10261/223231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223231
PMID: http://hdl.handle.net/10261/223231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223231
Ver en: http://hdl.handle.net/10261/223231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223231

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223340
Dataset. 2020

A BIBLIOGRAPHY OF PUBLIC ARCHAEOLOGY AND ARCHAEOLOGICAL HERITAGE MANAGEMENT IN THE MEDITERRANEAN

  • Almansa Sánchez, Jaime
Set of files with the consolidated first version of #pubarchMED bibliography. With over 1000 references and downloadable in different formats. Compiled by Jaime Almansa-Sánchez and Pedro Suárez-López, but open for collaboration and use. You ca USE it freely; We welcome you to COLLABORATE with further references to add., A collection of references about public archaeology and archaeological heritage management in/from the Mediterranean., Report pdf; Bibliography in: rtf, Zotero rdf, Refworks txt, LaTeX bib, Endnote xml, csv; README, txt, No

Proyecto: //
DOI: http://hdl.handle.net/10261/223340
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223340
HANDLE: http://hdl.handle.net/10261/223340
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223340
PMID: http://hdl.handle.net/10261/223340
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223340
Ver en: http://hdl.handle.net/10261/223340
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/223340

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224416
Dataset. 2020

SUPPLEMENTARY FILES GENERATED FOR THE WORK TITLED: UNCOVERING TRANSPOSABLE ELEMENT VARIANTS AND THEIR POTENTIAL ADAPTIVE IMPACT IN URBAN POPULATIONS OF THE MALARIA VECTOR ANOPHELES COLUZZII

  • Vargas-Chávez, Carlos
  • González Pérez, Josefa
ZIP file containing one txt file, one fasta file and 14 GFFs. The txt file contains the position of all TEs transferred from the six genomes sequenced in the present work to the AcolN1 reference genome. The id of the TE insertion is shown as well as the presence or absence of the TE insertion in each of the seven genomes or NA if we were unable to determine the presence/absence of the insertion. Only TEs with presence/absence status in at least four genomes are shown. The fasta file contains the TE library for Anopheles coluzzii that was de novo annotated in the present work. The remaining 14 files are GFFs (general feature format) which is used to represent the position of genes and other features in a reference. Seven are the GFFs comprising the de novo TE annotation obtained using REPET (Flutre et al., 2011) using a library specific for An. coluzzii in the seven genomes used in the aforementioned work. The remaining seven GFFs contain the gene transfer from the AgamP4 genome to the seven genomes used in the aforementioned work using Liftoff (Shumate et al., 2020). For more details, please see http://hdl.handle.net/10261/236648, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/224416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224416
HANDLE: http://hdl.handle.net/10261/224416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224416
PMID: http://hdl.handle.net/10261/224416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224416
Ver en: http://hdl.handle.net/10261/224416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224416

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224885
Dataset. 2020

IBERIAN AND EURASIAN LYNX PUTATIVELY DELETERIOUS MUTATIONS DATABASE

  • Kleinman-Ruiz, Daniel
  • Lucena-Pérez, María
  • Villanueva, Beatriz
  • Fernández, Jesús
  • Saveljev, Alexander P.
  • Ratkiewicz, Mirosław
  • Schmidt, Krzysztof
  • Galtier, Nicolas
  • García-Dorado, Aurora
  • Godoy, José A.
Genome-wide database of putatively deleterious missense mutations (as determined with Provean) and loss-of-function (LoF) mutations from 31 Iberian lynx (Lynx pardinus) and 29 Eurasian lynx (Lynx lynx) individuals, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/224885
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224885
HANDLE: http://hdl.handle.net/10261/224885
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224885
PMID: http://hdl.handle.net/10261/224885
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224885
Ver en: http://hdl.handle.net/10261/224885
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/224885

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/225275
Dataset. 2020

DATASET TO ACCOMPANY "LAGRANGIAN RECONSTRUCTION TO EXTRACT SMALL-SCALE SALINITY VARIABILITY FROM SMAP OBSERVATIONS"

  • Barceló-Llull, Bàrbara
  • Drushka, Kyla
  • Gaube, Peter
- Oleander_reconstructions: each netcdf file in this folder corresponds to the simulation done to reconstruct sea surface salinity SMAP observations for each day having in situ observations from the M/V Oleander thermosalinograph. - Weekly_reconstructions: each netcdf file in this folder corresponds to the simulation done to reconstruct weekly sea surface salinity SMAP observations. Note that the period between 2019-06-19 and 2019-07-22, when SMAP sea surface salinity data were not produced, is excluded.-- In each netcdf file: The dimension “traj” refers to the identifier for each simulated particle. The dimension “obs” refers to each time step. To plot maps of the reconstructed salinity fields, plot the particles at their final position with their salinity value. This is: lon(all indices, last index). lat(all indices, last index), sss_adv(all indices). The date in each netcdf file name is the date of the final position, i.e., the date of the reconstructed field., Lagrangian reconstruction of gridded sea surface salinity (SSS) observations made by the Soil Moisture Active Passive (SMAP) satellite in the northwest Atlantic Ocean. Using altimetric geostrophic currents, we numerically advected SMAP SSS fields to produce a Lagrangian reconstruction that represents small scales. For more details of the Lagrangian reconstruction method, see the associated paper “Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations” available at https://doi.org/10.1029/2020JC016477. In this paper we compare the reconstructed fields with in situ observations from the M/V Oleander thermosalinograph and we evaluate the small-scale SSS variability of the northwest Atlantic Ocean., This dataset has been developed in the framework of the (Sub)mesoscale Salinity Variability at Fronts project (NNX17AK04G) funded by the National Aeronautics and Space Administration (NASA)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/225275
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/225275
HANDLE: http://hdl.handle.net/10261/225275
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/225275
PMID: http://hdl.handle.net/10261/225275
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/225275
Ver en: http://hdl.handle.net/10261/225275
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/225275

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/226274
Dataset. 2021

LIVING AT THE LIMIT IN A MAJOR BIOGEOGRAPHICAL CROSSROAD. THE FLORA OF THE PYRENEAN MOUNTAINS

  • Gómez García, Daniel
  • Font, Xavier
  • García González, María Begoña
Mountains shelter high biological diversity and constitute important barriers for species distributions. They often contain sets of species whose populations occur at their range limit (peripheral species), which according to the “Centre-Periphery” hypothesis are expected to perform worse and be more vulnerable than in central positions. Our study investigates this hypothesis by examining the potential vulnerability (abundance and ecological characteristics) of the flora of the Pyrenees, a major biogeographical crossroad containing a large proportion of the total European plant diversity. We also assess the contribution of peripheral plants in lists of conservation. We compared regional area of occupancy, local abundance, elevation, habitat and soil type preferences, of more than 2,600 central, peripheral and endemic native vascular plants of the Pyrenees mountains. Their conservation status was also assessed at different spatial scales. A quarter of Pyrenean species are at their distributional limit. Like endemics, peripherals have lower continental and regional occupancy than central ones, but their local abundance does not differ significantly. Endemics and peripherals are also more likely to be soil specialists at high elevation, mainly in (sub)alpine grasslands and rocky areas. Although occurring in different ecological conditions, peripheral species at their rear-edge (mainly Boreoalpine and Eurosiberian) tend to be more widespread regionally but equally abundant locally than leading- edge species (mainly Mediterranean). Peripheral taxa constitute a large portion of Pyrenean species protected at different geographic or administrative scales (31-56%), of highest importance in the Pyrenean red list. Peripheral species show contrasting ecology at the leading- and rear-edge, contribute substantially to the high plant diversity of the Pyrenean biogeographical crossroad and to the lists of priority species for conservation. Integrative biogeographical assessments of the rarity and ecology of mountain floras provide a better overview than administrative ones to establish priorities for conservation., OPCC-POCTEFA EFA (235/1) and VULBIMON (CGL2017-90040-R)., Peer reviewed

DOI: http://hdl.handle.net/10261/226274
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/226274
HANDLE: http://hdl.handle.net/10261/226274
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/226274
PMID: http://hdl.handle.net/10261/226274
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/226274
Ver en: http://hdl.handle.net/10261/226274
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/226274

Buscador avanzado