Sentinel 2 images enable reliable prediction of fine-scale habitat dynamics of narrow endemic plant species in serpentine soils

Autor: Sara Ponce-Fontenla, Adrián Regos, Miguel Ángel Serrano, Roi Carballal
Přispěvatelé: Universidade de Santiago de Compostela. Departamento de Botánica, Universidade de Santiago de Compostela. Departamento de Zooloxía, Xenética e Antropoloxía Física
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
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Popis: Aims: Serpentine soils are rare globally, covering 0.9, sensitivity> 90 and specificity> 84), even for projections beyond the range of data used for calibration (AUC > 0.8, sensitivity> 77 and specificity> 81). Overall, the suitable habitat areas predicted by the modelswere similar for all three species (Schoener’s D metric > 0.7). The annual mean and coefficient of variation of the Normalized Difference of Water Index provided a good representation of the hydromorphic soils with serpentine clay minerals and charac -terized by the formation of temporary pools during winter months. The annual mean and coefficient of variation of the Modified Soil Adjusted Vegetation Index were also important predictors owing to their capacity to capture the serpentine habitat condi-tions, characterized by open vegetation and highly exposed soil.Conclusions: These findings confirm the potential of ecosystem functioning descrip-tors derived from spectral Sentinel 2 indices as a cost- effective means of character-izing the ecological niche of endemic plant species in serpentine habitats and as a promising tool to support their conservation and monitoring The authors acknowledge the collaboration of the Dirección Xeral de Patrimonio Natural, Xunta de Galicia, for providing some of the Armeria merinoi occurrence data used. The Santolina melidensis and Leucanthemum gallaecicum field surveys were funded by Acciona Construcción in the framework of a recovery plan for the populations of these species affected by construction of the A-54 motorway. MS, RC and AR received financial support from the Xunta de Galicia (ED431B 2018/36). AR was funded by the Xunta de Galicia (ED481B2016/084-0) SI
Databáze: OpenAIRE