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    Título
    Inaccessible rocky cliffs: An optimized method for plant data collection in extreme environments
    Autor
    Alfaro Saiz, Estrella
    Granda García, Víctor
    Rodríguez García, Alberto
    Alonso Redondo, RaquelAutoridad Buleria ORCID
    García González, Marta EvaAutoridad Buleria ORCID
    Facultad/Centro
    Facultad de Ciencias Biologicas y Ambientales
    Área de conocimiento
    Botanica
    Datos de la obra
    MethodsX, 2019, vol. 6
    Editor
    Elsevier
    Fecha
    2019
    Descripción física
    P. 1199-1206
    Abstract
    Counts are normally used to assess the densities of plants. However, due to the physical characteristics of these sites, habitats and species associated with inaccessible rocky cliffs and other extreme environments pose additional challenges. It is therefore necessary to apply changes to the usual data collection methods. This system allows population sizes to be estimated from an incomplete data collection. This is important because when data collection sites are inaccessible, the fieldwork cannot be carried out within the time that is normally allocated. Furthermore, the minimum sampling effort involved enables economic resources to be saved. This method allows the time spent and the material, methodological and human resources used to be reduced while simultaneously allowing the highest level of accuracy to be maintained. • The minimum effort needed to carry out data collection of plants on vertical walls and other difficult-to-access environments is calculated. • The proposed method is based on the search for the theoretical distribution function with a better adjustment to the actual distribution of the studied species. • This system allows to reduce the necessary resources, while the maximum accuracy is maintained in the calculations.
    Materia
    Botánica
    Palabras clave
    Minimal effort
    Data collection optimization
    Rupicolous flora
    Highest accuracy
    Inaccessibility
    Idioma
    eng
    Tipo documental
    info:eu-repo/semantics/article
    Peer review
    SI
    URI
    http://hdl.handle.net/10612/10904
    Versión del editor
    https://www.sciencedirect.com/science/article/pii/S2215016119301414#!
    Collections
    • Artículos de revista (post-print) [2096]
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