Resultados totales (Incluyendo duplicados): 44831
Encontrada(s) 4484 página(s)
Encontrada(s) 4484 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183071
Dataset. 2019
IBERIA01: DAILY GRIDDED (0.1º RESOLUTION) DATASET OF PRECIPITATION AND TEMPERATURES OVER THE IBERIAN PENINSULA
- Gutiérrez, José M.
- Herrera, Sixto
- Cardoso, Rita M.
- Matos Soares, Pedro
- Espírito-Santo, Fátima
- Viterbo, Pedro
The present work introduces a new observational gridded dataset produced using a dense network (thousands) of stations over the Iberian Peninsula (referred to as Iberia01), providing daily precipitation and temperatures for the period 1971-2015 at 0.1º (~10km) resolution., Iberia01 is based on a dense network of 3847 precipitation stations and over 380 temperature stations from the Spanish Agency of Meteorology (AEMET), the Portuguese Institute for Sea and Atmosphere (IPMA) and the Portuguese Environmental Agency (APA).
dc.relation.isbasedon: Spanish Meteorological Agency (AEMET); Portuguese Institute for Sea and Atmosphere (IPMA); Portuguese Environmental Agency (APA)
dc.relation.isbasedon: Herrera, S., J. Fernández, and G. J. M., 2015: Update of the spain02 gridded observational dataset for euro-cordex evaluation: assessing the effect of the interpolation methodology. International Journal of Climatology, 36, 900–908, doi: 10.1002/joc.4391
dc.relation.isbasedon: Herrera, S., J. M. Gutiérrez, R. Ancell, M. R. Pons, M. Frías, and J. Fernández, 2012: Development and analysis of a 50year highresolution daily gridded precipitation dataset over spain (spain02). International Journal of Climatology, 36, 74–85, doi:10.1002/joc.2256.
dc.relation.isbasedon: Herrera, S., S. Kotlarski, P. M. M. Soares, R. M. Cardoso, A. Jaczewski, J. M. Gutiérrez, and D. Maraun, 2018: Uncertainty in gridded precipitation products: Influence of station density, interpolation method and grid resolution. International Journal of Climatology, 0, doi:10.1002/joc.5878, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/183071
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183071
HANDLE: http://hdl.handle.net/10261/183071
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183071
PMID: http://hdl.handle.net/10261/183071
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183071
Ver en: http://hdl.handle.net/10261/183071
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183071
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183996
Dataset. 2019
FIELD EXCLUSION OF LARGE SOIL PREDATORS IMPACTS LOWER TROPHIC LEVELS, AND DECREASES LEAF-LITTER DECOMPOSITION IN DRY FORESTS [DATASET]
- Melguizo-Ruiz, Nereida
- Jiménez-Navarro, Gerardo
- Mas, Eva de
- Pato Fernández, Joaquina
- Scheu, Stefan
- Austin, Amy T.
- Wise, David H.
- Moya-Laraño, Jordi
This study has been funded by Spanish Ministry of Science and Innovation grants CGL2010-18602, CGL2015-66192-R and Andalusian grant P12-RNM-1521-EEZA to J.M.L., the European Regional Development Fund, Agencia Nacional de la Promoción de Ciencia y Tecnología (PICT 2016-1780), Argentina to A.T.A. and FPI fellowship (BES-2011-043505) to N.M.R, Dos tablas de datos: Animal abundance y Decomposition data, Peer reviewed
Proyecto: MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2015-66192-R
DOI: http://hdl.handle.net/10261/183996
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183996
HANDLE: http://hdl.handle.net/10261/183996
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183996
PMID: http://hdl.handle.net/10261/183996
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183996
Ver en: http://hdl.handle.net/10261/183996
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183996
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183909
Dataset. 2018
VITAL RATES AND COMPETITION COEFICIENTS [DATASET]
VITAL RATES AND COMPETITION COEFICIENTS FOR CONTROL ENVIRONMENT AND ESTREME DROUGHT (TREATMENT)
- Matías Resina, Luis
- Godoy, Óscar
- Gómez Aparicio, Lorena
- Pérez-Ramos, Ignacio Manuel
Data from: An experimental extreme drought reduces the likelihood of species to coexist despite increasing intransitivity in competitive networks.- Matías L, Godoy O, Gómez‐Aparicio L, Pérez-Ramos I (2018) An experimental extreme drought reduces the likelihood of species to coexist despite increasing intransitivity in competitive networks. Journal of Ecology 106(3): 826-837. https://doi.org/10.1111/1365-2745.12962 .- Data available from the Dryad Digital Repository: https://doi.org/10.5061/dryad.5d1s9 (Matías, Godoy, Gómez-Aparicio, & Pérez-Ramos, 2018, Very little is known about how variation in environmental conditions alters the strength and the structure of competitive networks and what are the consequences of this for species coexistence.
We performed a competition experiment with 10 annual plant species to parameterise a population model describing species’ dynamics according to their vital rates and pairwise competitive coefficients. Seeds from all species were sown under two different climatic scenarios: (1) right before the first major storm of the growing season and (2) after an imposed fall drought of 2 months simulating an extreme climatic event of intense aridity.
Species’ demography and competitive responses were used to estimate pairwise stabilising niche differences and average fitness differences. In addition, we used tools from network theory to characterise the structure of multispecies competition from the determinants of species coexistence. Specifically, we evaluated changes in competitive dominance between species pairs, and the prevalence of intransitive competitive relationships for 120 triplets between these two climatic events.
The experimental extreme event significantly reduced fitness differences between species pairs. Such an equalising mechanism promotes coexistence. However, niche differences were also reduced in such a way that the number of species pairs whose niche differences overcame their fitness differences was reduced from six to two.
Contrary to our expectations, the extreme event did not increase the hierarchy of competitive dominance. Instead, and depending on the technique used, the prevalence of intransitivity remained marginally similar (17% to 22%) or significantly increased from 19.4% to 29.8%. This pattern was likely a consequence of the significant changes in competitive dominance between species pairs (26 changes out of 45; 58%).
Although fitness differences were equalised and intransitive competition promoted, our model predicted a lower likelihood of coexistence under the extreme event for both species pairs and triplets, mainly because competitive interactions did not promote enough niche differences to balance the observed fitness asymmetries in our competitive networks.
Synthesis. We empirically proved that an extreme climate results in communities with reduced niche and fitness differences in which species are less likely to coexist despite the increasing prevalence of intransitive competition., Was funded by a Juan de la Cierva grant (FPDI-2013-15867). O.G. acknowledges postdoctoral financial support provided by the Spanish Ministry for Education and Science (Juan de la Cierva, JCI-2012-12061), and by the European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 661118-BioFUNC. Funding support to conduct the experiment was provided by the Spanish Ecological Terrestrial Society (AEET, Jóvenes Investigadores grant 2014/2). L.G.-A. acknowledges support from the MICINN project INTERCAPA (CGL-2014-56739-R) and European FEDER Funds. I.M.P.-R thanks the funding provided by the Ramón & Cajal Research Programme (RYC-2013-13937) and the Spanish MINECO project DECAFUN (CGL2015-70123-R)., Peer reviewed
DOI: http://hdl.handle.net/10261/183909
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183909
HANDLE: http://hdl.handle.net/10261/183909
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183909
PMID: http://hdl.handle.net/10261/183909
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183909
Ver en: http://hdl.handle.net/10261/183909
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/183909
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/201045
Dataset. 2020
EXTRACELLULAR ENZYME ACTIVITIES (GLUCOSIDASE, PHOSPHATASE, PROTEASE) AT 20ºC AND 60ºC AS A FUNCTION OF WATER ACTIVITY FOR DIFFERENT SOILS. [DATASET]
- Gómez Fernández, Enrique J.
- Delgado Romero, José A.
- González Grau, Juan Miguel
Los datos pertenecen al trabajo: Gómez, E.J., Delgado, J.A., González, J.M. (2020) Environmental factors affect the response of microbial extracellular enzyme activity in soils when determined as a funciton of water availability and temperature. Ecology and Evolution (Artícle in press), Figure 2. Extracellular glucosidase activity at 20ºC (A) and 60ºC (B) as a function of water activity for different soils. Enzyme activity is presented as percentage of maximum
activity for each soil. Error bars represent the standard deviation. Symbols represent different soils: Black square, Galicia; Grey square, Aragón; Black triangle, Salamanca;
Grey triangle, Seville; Black circle and dashed line, Cádiz.
Figure 3. Extracellular phosphatase activity at 20ºC (A) and 60ºC (B) as a function of water activity for different soils. Enzyme activity is presented as percentage of maximum
activity for each soil. Error bars represent the standard deviation. Symbols represent different soils: Black square, Galicia; Grey square, Aragón; Black triangle, Salamanca;
Grey triangle, Seville; Black circle and dashed line, Cádiz. Figure 4. Extracellular protease activity at 20ºC (A) and 60ºC (B) as a function of water activity for different soils. Enzyme activity is presented as percentage of maximum activity for
each soil. Error bars represent the standard deviation. Symbols represent different soils: Black square, Galicia; Grey square, Aragón; Black triangle, Salamanca; Grey triangle,
Seville; Black circle and dashed line, Cádiz., This study was supported by funding through projects from the Spanish Ministry of Economy and Competitiveness (CGL2014-58762-P) and the Regional Government of Andalusia (RNM2529). These projects have been cofunded by FEDER funds., Peer reviewed
Proyecto: MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2014-58762-P
DOI: http://hdl.handle.net/10261/201045
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/201045
HANDLE: http://hdl.handle.net/10261/201045
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/201045
PMID: http://hdl.handle.net/10261/201045
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/201045
Ver en: http://hdl.handle.net/10261/201045
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/201045
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184251
Dataset. 2019
APATITE FISSION TRACK AND ZIRCON (U-TH)/HE DATASET IN THE EASTERN BASQUE-CANTABRIAN ZONE - WESTERN PYRENEES
- DeFelipe, Irene
- Pedreira, D.
- Pulgar, J. A.
- van der Beek, P.
- Bernet, Marcel
- Pik, R.
Apatite fission track and zircon (U-Th)/He, Low-temperature thermochronology studies have increased our knowledge of the orogenic processes along the Pyrenean-Cantabrian mountain belt by placing time constraints on the exhumation history of its rocks. However, a significant gap of data existed between the Pyrenees and the Cantabrian Mountains, hampering a comprehensive view of the tectonothermal evolution along the belt. Thus, we present a new apatite fission-track (AFT) and zircon (U-Th)/He (ZHe) dataset for the eastern Basque-Cantabrian zone and western Pyrenees. AFT central ages cluster in the Eocene-Oligocene. According to their ZHe age-eU correlations, samples can be separated into two groups: group 1 depicts clustered ZHe ages-eU concentrations (Cinco Villas Massif) and group 2 depicts dispersed ZHe ages-eU concentration (Alduides Massif and a Paleozoic rock pinned along the Leiza thrust sheet). A sample from the Oroz-Betelu Massif shows an intermediate behavior. Our results agree with previous data in the Pyrenean-Cantabrian mountain belt, supporting a Cenozoic cooling of the hinterlands of this part of the belt., Funding sources: University of Oviedo-Banco Santander (grant number UNOV-10-BECDOC-S, Programa de Promoción de la Investigación Universidad de Oviedo-Banco Santander); Gobierno del Principado de Asturias Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología (FICYT), grant number BP11-004, Beca predoctoral Severo Ochoa; Spanish Ministry of Science, Innovation and Universities (AP2010-3637, Programa de Formación del Profesorado Universitario, FPU); Spanish Ministry of Science and Innovation (grant number CSD2006-00041, Consolider-Ingenio); European Science Foundation; Consejería de Cultura y Deporte Gobierno del Principado de Asturias; French National Centre of Scientific Research; The Research Council of Norway; Statoil-Hydro; Netherlands Research Center for Integrated Solid Earth Science (grant number SV-PA-10-03-IP2-PYRTEC, PYRTEC: Spatial and temporal coupling between tectonics and surface processes
during lithosphere inversion of the Pyrenean-Cantabrian mountain belt); Ministerio de Ciencia, Innovación y Universidades (grant number CGL2013-48601-C2-2-R, Programa Estatal de I+D Programa de Investigación,
desarrollo e innovación orientada a los retos de la
sociedad)., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/184251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184251
HANDLE: http://hdl.handle.net/10261/184251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184251
PMID: http://hdl.handle.net/10261/184251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184251
Ver en: http://hdl.handle.net/10261/184251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184460
Dataset. 2019
A GLOBAL MONTHLY CLIMATOLOGY OF TOTAL ALKALINITY: A NEURAL NETWORK APPROACH (2019) [DATASET]
- Broullón, Daniel
- Pérez, Fiz F.
- Velo, A.
- Hoppema, Mario
- Olsen, Are
- Takahashi, Taro
- Key, Robert M.
- González-Dávila, Melchor
- Tanhua, Toste
- Jeansson, Emil
- Kozyr, Alex
- van Heuven, Steven
The item is made of 5 files: 1) README.txt; 2) AT_NNGv2_climatology.nc contains the climatology of AT computed with NNGv2 in netcdf4 format and the climatologies of oxygen (median filtered from WOA13), phosphate, nitrate and silicate (these three derived from CANYON-B); 3) NNGv2 is the neural network object used to create the climatology; 4)ATNNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indean Ocean and, the variation in depth of one month (April); 5) Example.rar contains an example matrix of inputs to the neural network, the NNGv2.mat and a MATLAB script to compute AT with NNGv2, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211), No
DOI: http://hdl.handle.net/10261/184460
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184460
HANDLE: http://hdl.handle.net/10261/184460
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184460
PMID: http://hdl.handle.net/10261/184460
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184460
Ver en: http://hdl.handle.net/10261/184460
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oai:digital.csic.es:10261/184460
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184499
Dataset. 2019
DATA ANALYSIS : MORPHOMETRIC SIGNATURES OF ENDOCRINE DISRUPTING CHEMICALS EXPOSURES IN ZEBRAFISH ELEUTHEROEMBRYOS [DATASET]
- Martínez, Rubén
- Herrero-Nogareda, Laia
- Van Antro, Morgane
- Campos, M. Pilar
- Casado, Marta
- Barata Martí, Carlos
- Piña, Benjamín
- Navarro-Martín, Laia
Understanding the mode of action of the different pollutants in human and wildlife health is a key step in environmental risk assessment. The aim of this study was to determine signatures that could link morphological phenotypes to the toxicity mechanisms of four Endocrine Disrupting Chemicals (EDCs): bisphenol A (BPA), perfluorooctanesulfonate potassium salt (PFOS), tributyltin chloride (TBT), and 17-ß-estradiol (E2). Zebrafish (Danio rerio) eleutheroembryos were exposed from 2 to 5 dpf to a wide range of BPA, PFOS, TBT and E2 concentrations. At the end of the exposures several morphometric features were assessed. Common and non-specific effects on larvae pigmentation or swim bladder area were observed after exposures to all compounds. BPA specifically induced yolk sac malabsorption syndrome and altered craniofacial parameters, whereas PFOS had specific effects on the notochord formation presenting higher rates of scoliosis and kyphosis. The main effect of E2 was an increase in the body length of the exposed eleutheroembryos. In the case of TBT, main alterations on the morphological traits were related to developmental delays. When integrating all morphometrical parameters, BPA showed the highest rates of malformations in terms of equilethality, followed by PFOS and, distantly, by TBT and E2. In the case of BPA and PFOS, we were able to relate our results with effects on the transcriptome and metabolome, previously reported. We propose that methodized morphometric analyses in zebrafish embryo model can be used as an inexpensive and easy screening tool to predict modes of action of a wide-range number of contaminants., This work was supported by a grant from the Spanish Ministry of Economy and
Competitiveness (ref. CTQ2014-56777-R). LNM was supported by a H2020-Marie
Skłodowska-Curie Action MSCA-IF-RI-2017 awarded by the European Commission (ref.797725 EpiSTOX). RM was supported by an FPU predoctoral fellow from the Spanish Ministry of Education and Science (ref. FPU15/03332). We thank Morgane Van Antro and Chiara Luccarelli for helping with eleutheroembryos measurements., Peer reviewed
DOI: http://hdl.handle.net/10261/184499
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184499
HANDLE: http://hdl.handle.net/10261/184499
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184499
PMID: http://hdl.handle.net/10261/184499
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/184499
Ver en: http://hdl.handle.net/10261/184499
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oai:digital.csic.es:10261/184499
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185316
Dataset. 2019
DATASET ABOUT OPEN ACCESS AT CSIC 2008-2018
- Baquero Arribas, Mercedes
- Dorado González, Luis
- Bernal, Isabel
Most data have been generated with GesBIB, an institutional in-house tool that integrates bibliographic information about CSIC publications as well as Open Access related data from several external APIs, including Unpaywall, DOAJ and Sherpa Romeo. The dataset also includes data from DIGITAL.CSIC and URICI E-resources subscription programme., The dataset has been the basis to carry out an analysis about publishing trends and impact monitoring of publications by researchers from the Spanish National Research Council in the period 2008-2018. The dataset collects information about evolution of Green, Gold and Hybrid Open Access routes at CSIC, also taking into account data from institutional Open Access Publishing Support Programme and a hypothetical linkage with institutional e-Resources Subscription Programme., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/185316
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185316
HANDLE: http://hdl.handle.net/10261/185316
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185316
PMID: http://hdl.handle.net/10261/185316
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185316
Ver en: http://hdl.handle.net/10261/185316
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oai:digital.csic.es:10261/185316
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185657
Dataset. 2019
STORM PETREL DATA SETS
- Sanz-Aguilar, Ana
- Payo-Payo, Ana
- Igual, José Manuel
- Rotger, Andreu
- Viñas Torres, Mariana
- Picorelli, Virginia
Data are organized in three independent files. (1) Breeding_parameters_Espartar_2014_2018.csv records the reproductive parameters (hatching success (HS), fledgling success (FS) and breeding success (BS)) of all accessible nests of storm petrels at s’Espartar islet (Ibiza, Balearic Islands) during breeding seasons 2014 to 2018. First columns correspond to year (2014 to 2018), colony, nest number and zone of the study nests. Zone was coded as “C” = Chambers and “E” = Entrance. Last three columns (F, G and H) gather reproductive parameters HS, FS and BS being 0 if fails and 1 if successful. (2) Data_nestlings_BC_ticks_Espartar_2018.csv contains the state, the number of ticks attached to nestlings, their maximum number, biometric measurements and the estimated age of nestlings of storm petrels at s’Espartar (Ibiza, Balearic Islands) during breeding season in 2018. This file may contain more than one record (line) per individual because some nestlings were inspected multiple times. First column indicates the zone of the nest (“C” = Chambers and “E” = Entrance), next column corresponds to the nest number (= nestling number) followed by state and the state of the next inspection (state_t+1) of the nestling; these columns indicate if nestling is alive or dead. Columns F and G correspond to the number of ticks in each inspection and the maximum number of ticks found among all inspections respectively; last columns are the measurements of the wing length (mm), tarsus (mm), body mass (g) and estimated age of each nestling inspection. (3) Data_Adults_Espartar2018.csv contains the information about breeding adults of storm petrels from the entrance and chambers of the s’Espartar cave (Ibiza, Balearic Islands) during the breeding season in 2018. This file contains one line per individual being the first column the date of inspection, followed by the zone of the nest, the number of nest, and the ring code of the each individual; and the last three columns (E, F, G) correspond to the biometric measurements of tarsus, wing length and body mass (weight). Missing values in all datasets were coded as “NA”., Dataset (1) was used to analyze reproductive parameters of Storm petrels at S’Espartar islet (Ibiza, Balearic Islands) from 2014 to 2018. Dataset (2) was used to study the number of ticks (tick load) attached on nestlings and how affect them to their body condition depending on the zone where they are found during the breeding season in 2018. Dataset (3) was used to study if exists differences between adults of the different zones of the study area during the breeding season in 2018., This project was partially funded by the Govern Balear (Acciones Especiales, AAEE031/2017) and the Spanish Ministry of innovation and Universities (RESET, ref: CGL2017-85210-P)., No
Proyecto: AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/CGL2017-85210-P
DOI: http://hdl.handle.net/10261/185657
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185657
HANDLE: http://hdl.handle.net/10261/185657
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185657
PMID: http://hdl.handle.net/10261/185657
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185657
Ver en: http://hdl.handle.net/10261/185657
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oai:digital.csic.es:10261/185657
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185931
Dataset. 2019
BURROWING OWL DATA SETS
- Luna, Álvaro
- Palma Gómez, Antonio
- Sanz-Aguilar, Ana
- Tella, José Luis
- Carrete, Martina
Data are organized in two independent files:
(1) “Burrowing_Owl_Data.xlsx” records all the information of burrowing owls ringed during a monitoring program at Bahia Blanca (Argentina) during the breeding seasons 2005/2006 - 2017/2018. Each line corresponds to one individual. The dataset includes the year of birth and the year of first resight, the natal dispersal distance, the sex, the flight initiation distance (FID) and the breeding productivity both in the first breeding attempt and during the entire life for each individual. We also provide information about the habitat type, the conspecific density and the conspecific productivity both for their natal area and for their first breeding territory.--
(2) “dispnatalsurvival.inp” records the recaptures of each marked burrowing owls during a continuous monitoring program, grouped by sex and habitat. Each line corresponds to one individual. The first 11 columns represent the history of life of the individuals by years (with 0 = no resight and 1= resight). The following 4 columns are the groups (urban males, urban females, rural males, rural females), and the last column is the natal dispersal distance (log transformed) covered by each burrowing owl., Dataset (1) was used to analyze how different individual and social traits influence the natal dispersal distances of burrowing owls and how the variation in the dispersal distances can influence breeding productivity. Dataset (2) was used to study how dispersal distances can influence survival in male and females burrowing owls living in urban and rural habitats., The project was funded by Projects CGL2012-31888 and CGL2015-71378-P from MINECO (Spain) and Fundación Repsol. Antonio Palma and Álvaro Luna were supported by La Caixa-Severo Ochoa International PhD Program (2014 and 2015 respectively)., No
Proyecto: MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2015-71378-P
DOI: http://hdl.handle.net/10261/185931
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185931
HANDLE: http://hdl.handle.net/10261/185931
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185931
PMID: http://hdl.handle.net/10261/185931
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185931
Ver en: http://hdl.handle.net/10261/185931
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/185931
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