Resultados totales (Incluyendo duplicados): 3
Encontrada(s) 1 página(s)
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

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
Digital.CSIC. Repositorio Institucional del CSIC
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, 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

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

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/197357
Dataset. 2020

MODELLING PEST DYNAMICS UNDER UNCERTAINTY IN PEST DETECTION: THE CASE OF THE RED PALM WEEVIL. BIOLOGICAL INVASIONS [DATASET]

  • Sanz-Aguilar, Ana
  • Cortés, Iván
  • Gascón, Inmaculada
  • Martínez, Olga
  • Ginard, Santiago
  • Tavecchia, Giacomo
The data file contains data on Canary Island date palms Phoenix canariensis located in public gardens within Palma city and monitored between 2011 and 2017. We coded yearly observations on each palm (first seven columns on the excel file) into individual histories using the four following codes: 1 = palm tree apparently healthy (i.e. with no signs of weevil infestation); 2 = palm tree infested by red palm weevil and treated with a partial pruning (i.e. curative treatment); 3 = palm tree infested by red palm weevil and treated with a total cut (i.e. destructive treatment);0 = palm tree that no longer exist due to a destructive treatment applied the previous year. Columns 8 to 15 indicate the individual covariates used as linear predictors of infestation probabilities: the number of palms (P. canariensis and P. dactylifera) within a 500 m radius from each palm monitored. We sorted palms into public (“public”, i.e. those directly managed by the city council) and private (“priv”), differentiating in this last case between palms under the responsibility of other governmental entities (e.g. schools, namely “ent”) and those belonging to particular owners in private areas (e.g. hotels or other private gardens, namely “part”)., This dataset was used to analyze the infestation probabilities of Canary Island date palms by Red palm weevils., We acknowledge financial support through projects ‘Vicenç Mut’ PD/003/2016 and Ramón y Cajal RYC-2017- 22796., Peer reviewed

DOI: http://hdl.handle.net/10261/197357
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/197357
HANDLE: http://hdl.handle.net/10261/197357
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/197357
PMID: http://hdl.handle.net/10261/197357
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/197357
Ver en: http://hdl.handle.net/10261/197357
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/197357

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