29 research outputs found

    Occurrences of <i>Candidula coudensis</i>.

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    <p>Location of living <i>Candidula coudensis</i> (black dots) and empty shells (white dots) within the 2 x 2 km grid used to sample this land-snail species. Grey grid squares correspond to species presence (either live or dead).</p

    Study Area.

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    <p>Map of Portugal and study region (left), and detailed information (right) on 2 x 2 km tetrads used to sample the land snail <i>Candidula coudensis</i>. Black grid squares indicate presence, grey squares indicate absence of either live individuals or shells. Within black squares, small white squares correspond to locations of 5 x 5 m quadrats used to assess population density. The type-locality where the species was described is located at near the center of the grid.</p

    White stork nests in power line pylons and associated variables

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    Number of nests of white storks in very high tension power line pylons in Portugal, in 2007, and associated variables to model the drivers of pylon use. Information on nest occurrence collected in the field, through aerial surveys. Explanatory variables from land cover information data, stork censuses and information provided by the power line company (REN)

    LesserKestrel_breeding_parameters_whole_dataset

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    Breeding parameters of Lesser Kestrel (Falco naumanni) in Castro Verde, Portugal, between 2003-2014

    LesserKestrel_female_mass_wing

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    Weight and wing length of female Lesser Kestrels (Falco naumanni) captured during the incubation period between 2003 and 2014 in Castro Verde, Portugal

    grasshopper_molecricket_pellets

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    Mean number of grasshoppers (Acrididae and Tetigonidae) and mole crickets (Gryllotalpidae) found in Lesser Kestrel (Falco naumanni) pellets collected in several colonies between 2007-2008 and 2012-2014

    LessserKestrel_breeding_parameters_ringed_birds_dataset

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    Breeding parameters, age and recapture data of Lesser Kestrels (Falco naumanni) ringed between 2003 and 2014 at Castro Verde, Portuga

    Coefficients of the generalized linear mixed-effects models (standard error in brackets) for predicting post-fire <i>Q. suber</i> responses.

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    <p>(1) Model coefficients: β<sub>0</sub>, intercept; BT, bark thickness (cm); Ex, exploited for cork (yes <i>vs</i>. no); DBH, diameter at breast height (cm); BT*Ex, interaction between BT and Ex; PCH, maximum bole char height expressed as percentage of tree height (%); NA, means that the variable was not tested because it was not available in all sites; standard error of each coefficient is shown in brackets; (2) Significance of coefficients for the variables refers to the change in explained variance (<sup>*</sup><i>P</i><0.05; <sup>†</sup><i>P</i><0.01; <sup>‡</sup><i>P</i><0.001) and for categorical variables refers to the comparison with the first category. (3) Models evaluation: AUC, area under the ROC curve; R<sup>2</sup>, Nagelkerke R<sup>2</sup>. SHAPE.</p

    Summary of the variables assessed.

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    1<p>Ecological region (RE) categories (EEA 2003): Iberian sclerophyllous and semi-deciduous forests (code 159), Northeastern Spain & Southern France Mediterranean (code 162), Southwest Iberian Mediterranean sclerophyllous and mixed forests (code 168); <sup>2</sup> Exploitation status (Ex) categories: exploited or unexploited; <sup>3</sup> Tree response type (R) categories: dead, resprouting from the base only, resprouting simultaneously from the base and the crown, or resprouting from the crown only; <sup>4</sup> Fire season (FS) categories: early summer season or late season.</p
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