BUSCADOR RECOLECTA

Datasets supporting the results of the article “The importance of including survival release costs when assessing viability in reptile translocations”. The readme files contain information about each data column. Questions should be addressed to Albert Bertolero (albert.bertolero@gmail.com)., Translocations to restore populations of endangered species are an important conservation tool, but a reliable diagnosis is needed to assess their success. We used capture-recapture modeling to analyze the adult apparent survival of released and resident tortoises in two translocation projects in Spain monitored for 14 and 29 years. We tested if long-term survival rates differ between released and resident individuals, if survival was lower during the phase of establishment (i.e. release cost), how long acclimation lasts and if increased density due to releases affects survival. We found lower survival of released tortoises during the phase of establishment (1 to 3 years) when residents were already present. After establishment, survival was very high and unaffected by density-dependence. Body condition before release was similar between recaptured and dead/missing tortoises, and did not predict establishment survival. Stochastic population viability analysis showed that success when releasing small numbers of individuals strongly depends upon adult long-term survival. Release of small second batches of tortoises was not sensitive to a growing population, regardless of its release timing. Our results highlight long-term survival as crucial in translocation projects of long-lived species, invalidating short-term (first year) survival assessment, when survival release cost does not match long-term survival. A release cost of different duration should be included in model estimation before modeling predictions. Releasing tortoises (for welfare of captive individuals or for mitigating human negative impacts) in an already established population is not recommended under most circumstances. Acclimation cost is followed by survival approaching wild counterparts. If this milestone is not achieved, the project needs to be carefully assessed to adopt other management options or should be stopped altogether., Field work in the Ebro Delta and Minorca was partially funded by the Ebro Delta Natural Park, the Generalitat de Catalunya, the Institut Menorquí d'Estudis (IME), the Consell Insular de Menorca and the Spanish Ministry of Science and Technology (CICYT CGL2004-0473/BOS)., Peer reviewed

This contains three Microsoft Excel files for global methylation, AFLP and MSAP data, respectively. On each file one sheet contains the information of maternal plants and the other the information of the offspring. Each row refers to individual samples. For AFLP and MSAP each column refers to specific (although anonymous) markers labeled similarly in both sheets. Leaves from 15 adult plants were sampled along a 125-m transect in Cuevas Bermejas population (Sierra de Cazorla, Jaén Province, southeastern Spain), in October 2015. Offspring were obtained from seeds under greenhouse conditions, leaf samples were collected when they were 8-months old when only offspring of 13 mothers remained. DNA was extracted from leaves using Qiagen DNeasy Plant Mini Kit and the manufacturer protocol. Maternal parents and greenhouse plants were genetically fingerprinted using amplified fragment polymorphism (AFLP) markers. The AFLP and MSAP analysis were performed using standard protocols involving the use of fluorescent dye-labeled selective primers. For AFLP, each plant was fingerprinted using three different EcoRI + 3 / MseI + 3 primer pair combinations. MSAP assays used four HpaII-MspI + 2 / MseI + 3 primer combinations. In the two analyses fragment separation and detection was made using an ABI PRISM 3130xl DNA sequencer, only fragments ≥ 150 base pairs in size were considered and the presence (1) or absence (0) of fragments in each sample was scored manually by visualizing electropherograms with GeneMapper 3.7 software, This dataset includes (i) global DNA cytosine methylation estimates (= percentage of all genomic cytosines that are methylated) obtained by reverse phase HPLC with spectrofluorimetric detection, (ii) the scoring (presence/absence) of individual genetic markers (AFLP), and (iii) the scoring (presence/absence) of individual epigenetic markers (MSAP) in maternal plants of the shrub Lavandula latifolia and their greenhouse-grown offspring., Peer reviewed

Genotypes (9 microsatellite loci) of breeding Common quails (Coturnix coturnix) and their offspring sampled in Northeast Spain for paternity analyses. These genotypes were studied in the article Sanchez-Donoso I, Vilà C, Puigcerver M, Rodríguez-Teijeiro JD. Mate guarding and male body condition shape male fertilization success and female mating system in the Common Quail. Animal Behaviour, in press. In this study, we investigated female mate choice and male fertilization success in the Common quail by monitoring adult quails and assigning genetic paternity of their offspring. First we described the female mating system and the factors associated with it. Second we studied the relationship between male fertilization success and pair-bond order, pair-bond duration and male body condition. Finally, we explored whether male body condition shapes the male trade-off between mate guarding or looking for new mates., Peer reviewed

CMR dataset for Spanish Shags from Galicia and Asturias, CMR individual data, Peer reviewed

Support by funding was provided by Spanish Ministerio de Ciencia e Innovación, European funds (FEDER) (CGL2009-14006, CGL2010-19233-C03-01, CGL2010-19233-C03-03, CGL2013-48193-C3-1-P, CGL2013-48193-C3-2-P) and Junta de Andalucía (P09-RNM-4557). AM-G had a predoctoral grant from the Junta de Andalucía (P09-RNM-4557)., Peer reviewed

Data and code used in Sequeira et al., "Convergence of marine megafauna movement patterns in coastal and open oceans", Proceedings of the National Academy of Sciences (2018)., Peer reviewed

Peer reviewed

This data set includes measurements of water samples collected from 5 sites during 8 surveys carried out between March 2016 and March 2017 in the Guadalquivir river estuary. Geographic coordinates of sampling positions and a Google Earth .kml file are provided. During samplings, in situ water conductivity (converted to salinity), temperature and pH were measured using a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA) and water samples were collected for laboratory analysis of dissolved methane and nitrous oxide by static‐head space equilibration gas chromatography (GC) using an Agilent 7890 GC equipped with an Electron Capture Detector (ECD) for N2O and Flame Ionization Detector (FID) for CH4, according to de la Paz et al. (2015). Samples were also taken for analysis of phosphate, nitrate, nitrite and ammonia (with a Skalar Sanˆ++215 Continuous Flow Analyzer and using the standard colorimetric techniques described in Hansen and Koroleff 1999), dissolved oxygen and total alkalinity (using a Metrohm 794 Titroprocessor following the methods described by Mintrop et al. (2000) and Winkler) and dissolved organic carbon and total dissolved nitrogen that through catalytic oxidation at high temperature (720 °C) and chemiluminescence (using a Shimadzu Total Organic Carbon analyzer Model TOC‐VCPH/CPN, according to Álvarez‐Salgado and Miller 1998). Dissolved carbon dioxide partial pressure was calculated from pH and total alkalinity using co2sys.xls (Pierrot et al., 2000) with the dissociation constants for carbon and sulphate of Cai and Wang (1998) and Dickson (1990), respectively. Calculations of the equilibrium concentrations of methane and nitrous oxide in the water phase was done using the annual averaged atmospheric mixing ratios CH4 (xCH4atm) and N2O (xN2Oatm) provided by the World Data Center for Greenhouse Gases (http://ds.data.jma.go.jp/gmd/wdcgg/). Such mean values during the sampling period were calculated as 1866 ppb and 328 ppb for xCH4atm and xN2Oatm respectively. Daily measurements of rainfall (mm), air temperature (ºC), relative humidity and wind speed (m s‐1) were provided by ameteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34”W) managed by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController). The data are provided as [space] delimitated plain text files and Google Earth .kml and .kmz files within a compressed folder that also includes a single README file (in PDF format) containing a detailed description of the data structure., General Notes: The data are provided under an Attribution‐ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the article: Emma Huertas, Susana Flecha, Gabriel Navarro, Fiz F. Perez, Mercedes de la Paz. 2018. Spatio‐temporal variability and controlling parameters of methane and nitrous oxide in the Guadalquivir Estuary, Southwestern Europe. Aquatic Sciences.-- Data collection and analytical techniques are given in detail with the associated publication, here we only give a brief details and a guide to the contents of the data files.-- Data files are in plain text format with [space] used as the delimiter and text enclosed in "". All data files have column titles as the first line. NA is used to represent no data., Geographical coordinates of water sampling sites: Guadalquivir_estuary_sampling_stations_geo_coordinates.txt provides the geographical coordinates of the sites. ST.ID represents the code (used to link to other data tables) for each site. long and lat are longitude and latitude, respectively. Geographic projection and WSG84 datum is used (EPSG:4326).-- For convenience Guadalquivir_estuary_sampling_stations.kml is also included to allow visualization of the site positions in Google Earth (or other GIS software; note kml files have the Pseudo‐Mercator projection [EPSG:3857])., Water physiochemical properties; Guadalquivir_estuary_water_monitoring_2016‐2017.txt provides data from water sampling data during eight surveys conducted between March 2016 and March 2017. Temperature, salinity and pH were measured with a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA). Total alkalinity, concentrations of dissolved compounds (oxygen, organic carbon, total nitrogen, inorganic nitrogen and phosphate), pigments and suspended solids were measured in the laboratory. pCO2 was calculated using pH and total alkalinity with co2sys.xls.-- SAMP.EVENT is a convenience code used to denominate each individual survey. SAMP.DATE is the day in which the survey took place (in the Gregorian calendar). time.stamp.gmt is the time (GMT or UTC) at which the sample was collected, in extended ISO8601 format.-- ST.ID represents the code (used to link to other data tables) for each site. T.degC is the water temperature in degrees Celsius. Salinity is the water salinity (practical salinity units, i.e., no units), calculated from conductivity.-- CH4.nmolL is methane concentration with units nano mol per liter. N2O.nmolL is nitrous oxide concentration with units nano mol per liter.-- Chla.umolL is chlorophyll‐a concentration with units micro mol per liter. TSM.mgL is total suspended solids concentration with units milli gram per liter. DOC.mgL is total dissolved organic carbon concentration with units milli gram per liter. TDN.mgL is total dissolved nitrogen concentration with units milli gram per liter. NH4.umolL is dissolved ammonium concentration with units micro mol per liter. NO2.umolL is dissolved nitrite concentration with units micro mol per liter. NO3.umolL is dissolved nitrate concentration with units micro mol per liter. PO4.umolL is dissolved inorganic phosphate concentration (i.e., not organic or total) with units micro mol per liter. O2.umolKg is dissolved oxygen concentration with units micro mol per kilogram. pCO2.uatm is partial pressure of CO2 in water with units micro atmosphere., Meteorological data: Daily measurements of air temperature (ºC), wind speed (m s‐1) and humidity were provided by a meteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34” W) maintained by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController).-- Guadalquivir_estuary_meteorological_data.txt contains daily‐ensemble‐averaged wind velocities at 1 m (uz) above the land surface. SAMP.MONTH is the month in which the survey and samples collection took place. uz.ms is the monthly mean wind velocity at 1m above the land surface with units meters per second. T.degC is monthly mean air temperature at 1m above the land surface with units degrees Celcius. hum.% is the relative humidity at 1m above the land surface expressed as a percent., This data set includes recently published data used to assess the spatio‐temporal variability of dissolved methane and nitrous oxide in the Guadalquivir river estuary, SW Spain (Long: ‐6º 20´ 31.56´´, Lat: 36º 47´54´´, Datum: WSG84) between March 2016 and March 2017 and calculate air‐water fluxes of both gases., This research was supported by the project 1539/2015 (Spanish Ministry for Agriculture, Food and Environment). Meteorological data was provided by the Junta de Andalucia. NOOA supplied atmospheric methane and nitrous oxide data. Further analytical details, acknowledgements, and air‐water fluxes can be found in the publication., No

The dataset contains one zip file corresponding to the SEDI. The format of the file is netCDF3. The file contains 1440 longitudes, 720 latitudes and 444 times (from January 1980 to December 2016). Projection is Geographic (WGS84). The SEDI is in standardized units. The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., This dataset includes 0.25º spatial resolution time series of the Standardized Evapotranspiration Deficit Index. The gridded data has been created using the version 3.1 of the Global Land Evaporation Amsterdam Model (GLEAM) dataset (https://www.gleam.eu/#home). Data covers the period between 1980 and 2016. SEDI is obtained using a log-logistic distribution to fit the Evapotranspiration Deficit., Peer reviewed

Longitude, latitude, species and date of roadkills detected during 24 road surveys conducted twice a month for a whole annual cycle, starting the second fortnight of November 2010 and finishing the first fortnight of November 2011. 241.6 km of roads were inspected each survey. Surveys were conducted by car at the minimum speed limit (20-50 km/h) and looking for roadkills, Peer reviewed