Resultados totales (Incluyendo duplicados): 506
Encontrada(s) 51 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
Dataset. 2022

LONG-TERM MONITORING OF LIZARDS AND GECKOS IN DOÑANA 2005-2021

  • Andreu, Ana C.
  • Arribas, Rosa
  • Román, Isidro
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats Darwing Core. Three files are provided. The first file (Don_liz-gec_event_20221201) contains the information of the project, the institution and the description each event (time of occurrence, geographical coordinates, habitat type, etc…); the second file (Don_liz-gec_occ_20221201) contains the information of the occurrences of species recorded in each transect, taxonomic classification, geographoical coordinates of its observation, etc…; and the third file (Don_liz-gec_mof_20221201) provide information of the description of other variables measured during counts., The monitoring of lizards and geckos’ community in Doñana was initiated in 2005 as part of the monitoring program of natural resources and processes. One of the aims of this project was to obtain a temporal and continuous series of data of the presence and abundance of these species to detect changes and trends in their wild populations within the protected area. Lizard and gecko counts are collected annually by members of the monitoring team three times per year in the periods when reptile activity is high (two samplings in March-June and one sampling in September-October), with good environmental conditions (temperature between 17 and 25 ºC and absence of rain or strong wind conditions). The method used to record the presence and abundance of lizard and gecko species (kilometric index: number of individuals/km) are the transect censuses. Individuals are visually searched along seven transects (linear or circular) that are carried out by one trained person on foot. Each transect have an established length, but the length surveyed is different (averaged 1858 ± 51.86 meters). Each transect is located in dunes or mediterranean vegetation habitats, representative of Doñana ecosystems. Two transects runs through wooden footpaths (within the Natural Park and five transects are placed on sand-trails (4 within the National Park and one in Natural Park which contains a small part of wooden footpath). Linear transects have been surveyed in the outward track direction and after waiting 15 minutes it has been again performed on the way back. This information is valid to account for species presence in the area. However, we suggest to choose the first survey performed for statistical analyses that require independence of samples. Eight species can be potentially observed during the samplings: Mediterranean house gecko (Hemidactylus turcicus), Common Wall Gecko (Tarentola mauritanica), Fringe-fingered Lizard (Acanthodactylus erythrurus), Algerian Psammodromus (Psammodromus algirus), Western Psammodromus (Psammodromus occidentalis), Carbonell's wall lizard (Podarcis carbonelli), Andalusian wall lizard (Podarcis vaucheri), Ocellated lizard (Timon lepidus). Other reptile species present in Doñana have not been included in this study as the detection with this method is very low. For instance, to detect species with a fossorial behaviour (the Mediterranean Worm Lizard Blanus cinereus) or those cryptic as adders (Vipera latastei), it is required larger investment of survey which consist in looking under vegetation, burrows or logs (there are not stones in Doñana). Data recorded during the surveys include weather description (cloud cover, temperature, rain, or wind speed), species identification, number of individuals, sex and life stage of the reptiles when possible, as well as time and georeferenced data of the observation. Between 2005-2007 data was registered in Excel file and since 2008 data is recorded with the app CyberTracker (see protocol). The protocol used has been supervised by herpetological researchers and the data have been validated by the members who performed the transects., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2005)., 1. Don_liz-gec_event_20221201: eventID, institutionCode, institutionID, datasetName, continent, country, countryCode, Province, Location, Locality, LocalityID, eventDate, eventTime, decimalLatitude, decimalLongitude, decimalLatitudeEnd, decimalLongitudeEnd, verbatimCoordinate_func, verbatimCoordinate, habitat, sampleSizeValue, sampleSizeUnit, samplingEffort, recordedBy, samplingProtocol.-- 2. Don_liz-gec_occ_20221201: RecordedBy, eventID, OccurrenceID, OcurrenceTime, decimalLatitude, decimalLongitude, basisOfRecord, individualCount, lifeStage, sex, OccurrenceRemarks, behavior, kingdom, Class, Family, scientificName, genus, specificEpithet, scientificNameAuthorship, taxonRank.-- 3. Don_liz-gec_mof_20221201: eventID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
HANDLE: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
PMID: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
Ver en: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902
Dataset. 2022

ABUNDANCE AND DISTRIBUTION OF MACROINVERTEBRATES AND FISH OF DOÑANA WETLANDS 2004-2019

  • Bravo, Miguel A.
  • Román, Isidro
  • Andreu, Ana C.
  • Arribas, Rosa
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Three files are provided. The first file (Meta-data) contains the information of each event (time of occurrence, geographical coordinates, Ecosystem, Sampling mehtod, etc…); the second file (Fish) contains the information of the occurrences of fish species recorded in each station, taxonomic classification, etc…; and the third file (Macroinvertebrates) provide information of the occurrences of macroinvertebrates recorded in each station, taxonomic classification, abundance clases, etc…, The monitoring of the macroinvertebrates and fish community in Doñana wetlands was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance and distribution of macroinvertebrates and fish species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The macroinvertebrates and fishes were sampled at the 140 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 66 and 16 families, of macroinvertebrates and fishes respectively. The most abundances were Notonectidae and Corixidae in macroinvertebrates, and Poecilidae and Cyprinidae in fishes. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, inmature, adult) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 data was recorded in CyberTracker sequence). The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2005)., 1. Metadata: Taxa group, Site ID, Site name, Country, y coordinate, x coordinate, Ecosystem River/lake name, Sampling method, Starting year, Ending year, 1st Name, 1st Mail, 2nd Name, 2nd Mail, 3rd Name, 3rd Mail.-- 2. Fish: Site ID, Sample ID, Sampling date, Taxon name, Taxon ID, Definition of abundance class, Abundance class.-- 3. Macroinvertebrates: Site ID, Sample ID, Sampling date, Taxon name, Taxon ID, 0+, 1+, Adult, All., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/280902, https://doi.org/10.20350/digitalCSIC/14765
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902
HANDLE: http://hdl.handle.net/10261/280902, https://doi.org/10.20350/digitalCSIC/14765
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902
PMID: http://hdl.handle.net/10261/280902, https://doi.org/10.20350/digitalCSIC/14765
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902
Ver en: http://hdl.handle.net/10261/280902, https://doi.org/10.20350/digitalCSIC/14765
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480
Dataset. 2022

LONG-TERM MONITORING OF ROLLER DUNG BEETLES (SCARABAEINAE) (ABUNDANCE AND DISTRIBUTION) IN DOÑANA 2004-2012

  • Paz Sánchez, David Antonio
  • Román, Isidro
  • Andreu, Ana C.
  • López, Diego
  • Ramírez, Luis
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Two files are provided. The first file (icts-rbd-dungBe_event_20221107) contains the information of each event (time of occurrence, geographical coordinates, habitat, sampling effort, etc…); the second file (icts-rbd-dungBe_occ_20221107) contains the information of the occurrences of dung-beetles species recorded in each site, numbers of individual recorded and taxonomic classification., The monitoring of the roller dung-beetles (Scarabaeinidae) in Doñana, southwestern Spain, was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance and distribution of two species (Scarabeus sacer and S. cicatricosus) present in the area. Data were recorded annually from 2004 to 2012 by members of the monitoring team which performed one sampling (between May and August) in different habitats (sand dunes, mediterranean schrublands, flooplain meadows, and marshlands). Dung-baited pitfalls traps were used as a method to obtain samples of individuals of the two species. These traps were plastic cilinder of 30 cm diameter x 20 cm high buried on the ground. A baited grill of 2cm x 2 cm mesh rested on top of the trap. Bait was fresh horse or cow feaces (250 g) collected around the area early in the morning the day before of trapping. Five pitfall traps were established at each site separated 15 m each other during 24 hours. Two checking were conducted every 12 hours after baiting to avoid the mortality of individuals. Individual of each species were counted and release after it. Data recorded during the surveys included species identification and number of individuals. Between 2004-2008 data was registered in Excel file and since 2008 data was recorded in CyberTracker sequence. The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2004-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2004-2012)., 1.icts-rbd-dungBeetles_event_20221107: intitutionCode, institutionID, datasetName, eventID, eventDate, eventTime, continent, country, countryCode, stateProvince, locality, decimalLatitude, decimalLongitude, habitat, eventRemarks, sampleSizeValue, sampleSizeUnit, sampleEffort, dynamicPropertiesEvents, recordyBy and scientificName 2.icts-rbd-dungBeetles_occ_20221107: eventID, OccurrenceID, basisOfRecords, individualCount, kingdom, class, family, scientificName, genus, specificEpithet and scientificNameAuthorship., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/282480, https://doi.org/10.20350/digitalCSIC/14775
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480
HANDLE: http://hdl.handle.net/10261/282480, https://doi.org/10.20350/digitalCSIC/14775
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480
PMID: http://hdl.handle.net/10261/282480, https://doi.org/10.20350/digitalCSIC/14775
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480
Ver en: http://hdl.handle.net/10261/282480, https://doi.org/10.20350/digitalCSIC/14775
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
Dataset. 2022

LONG-TERM MONITORING OF MACROINVERTEBRATES (ABUNDANCE AND DISTRIBUTION) IN DOÑANA WETLANDS 2004-2019

  • Bravo, Miguel A.
  • Román, Isidro
  • Andreu, Ana C.
  • Arribas, Rosa
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Three files are provided. The first file (Don_macroinv_ev_20221222) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_macroinv_occ_20221222) contains the information of the occurrences of individuals recorded in each station and its taxonomic classification; and the third file (Don_macroinv_mof_20221222) provide information of biometric variable (weithg) of macroinvertebrates samples recorded in each occurrence., The monitoring of the macroinvertebrates community in Doñana wetlands was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance and distribution of macroinvertebrates species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The macroinvertebrates were sampled at the 139 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 65 families. The most abundances were Notonectidae and Corixidae. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, juvenile, adult) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 data was recorded in CyberTracker sequence). The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2005)., 1. Don_macroinv_ev_20221222: eventID, intitutionCode, datasetName, eventDate, year, month, day, continent, country, stateProvince, location, localityID, locality, sampleSizeUnit, sampleSizeEffort, DynamicPropiertiesEvent, eventRemarks, recordedBy.-- 2. Don_macroinv_occ_20221222: eventID, occurrenceID, basisOfRecord, individualCount, sex, lifeStage, kingdom, phylum, order, family, genus, specificEpithet, scientificName.-- 3. Don_macroinv_mof_20221222: ocurrenceID, measurementID, measurementValue, measurementUnit, measurementType, measurementAccuracy, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285500, https://doi.org/10.20350/digitalCSIC/14882
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
HANDLE: http://hdl.handle.net/10261/285500, https://doi.org/10.20350/digitalCSIC/14882
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
PMID: http://hdl.handle.net/10261/285500, https://doi.org/10.20350/digitalCSIC/14882
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
Ver en: http://hdl.handle.net/10261/285500, https://doi.org/10.20350/digitalCSIC/14882
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
Dataset. 2022

LONG-TERM MONITORING OF FISH (ABUNDANCE AND DISTRIBUTION) IN DOÑANA WETLANDS 2004-2019

  • Bravo, Miguel A.
  • Román, Isidro
  • Andreu, Ana C.
  • Arribas, Rosa
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Three files are provided. The first file (Don_fish_ev_20221222) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_fish_occ_20221222) contains the information of the occurrences of fish species recorded in each station, taxonomic classification; and the third file (Don_fish_mof_20221222) provide information of the biometric variable (weight) of fish sample in each occurrence., The monitoring of the fish community in Doñana wetlands was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance and distribution of fish species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The fishes were sampled at the 139 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 15 families. The most abundances were Poecilidae and Cyprinidae. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, inmature, mature) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 data was recorded in CyberTracker sequence). The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2005)., 1. Don_fish_ev_20221222: eventID, intitutionCode, institutionID, datasetName, eventDate, year, month, day, country, stateProvince, location, localityID, locality, decimalLatitude, decimalLongitude, habitat, sampleSizeUnit, sampleSizeEffort, DynamicPropiertiesEvent, eventRemarks, recordeBy.-- 2. Don_fish_occ_20221222: eventID, occurrenceID, individualCount, sex, lifeStage, kingdom, phylum, order, family, genus, specificEpithet, scientificName.-- 3. Don_fish_mof_20221222: OccurrenceID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285505, https://doi.org/10.20350/digitalCSIC/14883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
HANDLE: http://hdl.handle.net/10261/285505, https://doi.org/10.20350/digitalCSIC/14883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
PMID: http://hdl.handle.net/10261/285505, https://doi.org/10.20350/digitalCSIC/14883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
Ver en: http://hdl.handle.net/10261/285505, https://doi.org/10.20350/digitalCSIC/14883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756
Dataset. 2019

WATER TURBIDITY MASKS DOÑANA 1984/2019

  • Díaz-Delgado, Ricardo
  • Afán, Isabel
  • Aragonés, David
  • García, Diego
  • Bustamante, Javier
Time Series water turbidity derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ Teh methodology is described in the paper: Empirical models to estimate water turbidity from reflectance data from TM or ETM+ Landsat sensors in shallow wetlands such as Doñana marshes. See the reference: Bustamante, J. et al. 2009. Predictive models of turbidity and water depth in the Doñana marshes using Landsat TM and ETM+ images. Journal of Environmental Management. 90:2219-2225.https://doi.org/10.1016/j.jenvman.2007.08.021, European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762), Peer reviewed

Proyecto: EC/H2020/641762
DOI: http://hdl.handle.net/10261/285756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756
HANDLE: http://hdl.handle.net/10261/285756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756
PMID: http://hdl.handle.net/10261/285756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756
Ver en: http://hdl.handle.net/10261/285756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758
Dataset. 2019

NDVIS DOÑANA 1984/2019

  • Díaz-Delgado, Ricardo
  • Afán, Isabel
  • Aragonés, David
  • García, Diego
  • Bustamante, Javier
Time Series of NDVI derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/, European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762), Peer reviewed

Proyecto: EC/H2020/641762
DOI: http://hdl.handle.net/10261/285758
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758
HANDLE: http://hdl.handle.net/10261/285758
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758
PMID: http://hdl.handle.net/10261/285758
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758
Ver en: http://hdl.handle.net/10261/285758
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759
Dataset. 2019

HYDROPERIOD DOÑANA 1974/2019

  • Díaz-Delgado, Ricardo
  • Afán, Isabel
  • Aragonés, David
  • García, Diego
  • Bustamante, Javier
Time Series of annual Hydroperiods derived from Landsat MSS, TM, ETM+ & OLI in the Path 202 Row 34 (Doñana) cover the period 1974-2018., European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762), Peer reviewed

Proyecto: EC/H2020/641762
DOI: http://hdl.handle.net/10261/285759
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759
HANDLE: http://hdl.handle.net/10261/285759
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759
PMID: http://hdl.handle.net/10261/285759
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759
Ver en: http://hdl.handle.net/10261/285759
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285761
Dataset. 2019

FLOOD MASKS DOÑANA 1984/2019

  • Díaz-Delgado, Ricardo
  • Afán, Isabel
  • Aragonés, David
  • García, Diego
  • Bustamante, Javier
Time Series of flooded areas derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, these products and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ Methodology is described in this paper: Remote Sensing 8(9):775 · September 2016. DOI: 10.3390/rs8090775, European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762), Peer reviewed

Proyecto: EC/H2020/641762
DOI: http://hdl.handle.net/10261/285761
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285761
HANDLE: http://hdl.handle.net/10261/285761
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285761
PMID: http://hdl.handle.net/10261/285761
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285761
Ver en: http://hdl.handle.net/10261/285761
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285761

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286602
Dataset. 2023

LONG-TERM MONITORING IN THE BIOMETRICS OF THE RED-SWAMP CRAYFISH (PROCAMBARUS CLARKII, GIRARD 1852) IN DOÑANA WETLANDS 2004-2022

  • Bravo, Miguel A.
  • Andreu, Ana C.
  • Román, Isidro
  • Arribas, Rosa
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Three files are provided., The first file (Don_biom_red-swamp-crayfish_ev_20230111) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_ biom_red-swamp-crayfish _occ_20230111) contains the information of the occurrences of individuals recorded in each station and its taxonomic classification; and the third file (Don_ biom_red-swamp-crayfish _mof_20230111) provide information of biometric variables of individual crayfish recorded (total body length, cephalothorax length, cephalothorax width and weight)., The monitoring of biometric parameters (total body length, cephalothorax length, cephalothorax width and weight) of red-swamp crayfish (Procambarus clarkii) in Doñana wetlands was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the biometry of the species to analyze the evolution in these variables. Data were recorded annually between 2004-2022 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The individuals were sampled at the 64 stations classified according to their location (on either aeolian sands or marshland). Modified commercial traps, similar to funnel traps, with 4 mm mesh size were used as sampling method, following the method by Bravo et. al., 1994. Between 5-9 traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. Each individual captured was weigthed using an electronic balance within 0.2 g accuracy. Cephalothorax length (from the tip of the rostrum to the tip of the cephalatorax) and cephalothorax width (maximum width of the cephalothorax) were measured using a slide caliper within 0.1 mm accuracy. Total body length (from the tip of the rostrum to the tip of the telson) were recorded using a ruler within 0.5 mm accuracy. Data recorded during the surveys also included sex and maturation stage (inmature, mature) of the organisms when possible, as well as the time and georreferenced data of the capture. Between 2004-2007 data was registered in Excel file and since 2008 data was recorded in CyberTracker sequence. The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling. Bravo, M. A.; Duarte, C. M. & Montes, C. (1994) Environmental factors controlling the life history of Procambarus clarkii (Decapoda, Cambaridae) in a temporary marsh of the Doñana National Park (SW Spain). January 1994. Limnology 25(4):2450-2453. Romaire, R. P. & Lutz, C. G., 1989 Population dynamics of Procambarus clarkii (Girard) and Procambarus acutus acutus (Girard) (Decapoda: Cambaridae) in commercial ponds. Aquaculture 81(3-4):253-274., National Parks Autonomous Agency (OAPN) between 2002-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2004)., 1. Don_biom_red-swamp-crayfish_ev_20230111: eventID, intitutionCode, institutionID, datasetName, eventDate, eventTime, continent, country, stateProvince, location, localityID, locality, decimalLatitude, decimalLongitude, habitat, sampleSizeValue, sampleSizeUnit, sampleSizeEffort. 2. Don_ biom_red-swamp-crayfish _occ_20230111: eventID, occurrenceID, occurenceTime, individualCount, basisOfRecord, sex lifestage, kingdom, phylum, class, family, genus, specificEpithet, scientificName, scientificNameAuthorship. 3. Don_ biom_red-swamp-crayfish _mof_20230111: ocurrenceID, measurementID, measurementValue, measurementUnit, measurementType, measurementAccuracy, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/286602, https://doi.org/10.20350/digitalCSIC/15085
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286602
HANDLE: http://hdl.handle.net/10261/286602, https://doi.org/10.20350/digitalCSIC/15085
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286602
PMID: http://hdl.handle.net/10261/286602, https://doi.org/10.20350/digitalCSIC/15085
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286602
Ver en: http://hdl.handle.net/10261/286602, https://doi.org/10.20350/digitalCSIC/15085
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286602

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