RT info:eu-repo/semantics/article
T1 Inaccessible rocky cliffs: An optimized method for plant data collection in extreme environments
A1 Alfaro Saiz, Estrella
A1 Granda García, Víctor
A1 Rodríguez García, Alberto
A1 Alonso Redondo, Raquel
A1 García González, Marta Eva
A2 Botanica
K1 Botánica
K1 Minimal effort
K1 Data collection optimization
K1 Rupicolous flora
K1 Highest accuracy
K1 Inaccessibility
AB 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.
PB Elsevier
YR 2019
FD 2019-06-15
LK http://hdl.handle.net/10612/10904
UL http://hdl.handle.net/10612/10904
NO MethodsX, 2019, vol. 6
NO P. 1199-1206
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 25-abr-2024