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Intermediate snowpack melt-out dates guarantee the highest seasonal grasslands greening in the Pyrenees

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Title: Intermediate snowpack melt-out dates guarantee the highest seasonal grasslands greening in the Pyrenees
Authors: Revuelto, J., Gómez, D., Alonso-González, E., Vidaller, I., Rojas-Heredia, F., Deschamps-Berger, C., García-Jiménez, J., Rodríguez-López, G., Sobrino, J., Montorio, R., Perez-Cabello, F., López-Moreno, J
Contributors: Pagès, Nathalie, Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology Zaragoza (IPE - CSIC), Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universidad de Zaragoza = University of Zaragoza Saragossa University = Université de Saragosse, Universidad Autónoma de Madrid (UAM)
Source: Sci Rep
Zaguán. Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Publisher Information: Springer Science and Business Media LLC, 2022.
Publication Year: 2022
Subject Terms: [SDE] Environmental Sciences, Science, Temperature, 0207 environmental engineering, 02 engineering and technology, 15. Life on land, MESH: Grassland, Grassland, 01 natural sciences, MESH: Temperature, Article, MESH: Snow, Snow, [SDE]Environmental Sciences, Medicine, Seasons, MESH: Seasons, 0105 earth and related environmental sciences
Description: In mountain areas, the phenology and productivity of grassland are closely related to snow dynamics. However, the influence that snow melt timing has on grassland growing still needs further attention for a full understanding, particularly at high spatial resolution. Aiming to reduce this knowledge gap, this work exploits 1 m resolution snow depth and Normalized Difference Vegetation Index observations acquired with an Unmanned Aerial Vehicle at a sub-alpine site in the Pyrenees. During two snow seasons (2019–2020 and 2020–2021), 14 NDVI and 17 snow depth distributions were acquired over 48 ha. Despite the snow dynamics being different in the two seasons, the response of grasslands greening to snow melt-out exhibited a very similar pattern in both. The NDVI temporal evolution in areas with distinct melt-out dates reveals that sectors where the melt-out date occurs in late April or early May (optimum melt-out) reach the maximum vegetation productivity. Zones with an earlier or a later melt-out rarely reach peak NDVI values. The results obtained in this study area, suggest that knowledge about snow depth distribution is not needed to understand NDVI grassland dynamics. The analysis did not reveal a clear link between the spatial variability in snow duration and the diversity and richness of grassland communities within the study area.
Document Type: Article
Other literature type
File Description: application/pdf
Language: English
ISSN: 2045-2322
DOI: 10.1038/s41598-022-22391-x
Access URL: https://pubmed.ncbi.nlm.nih.gov/36316348
http://zaguan.unizar.es/record/120064
https://doaj.org/article/6aac84e672d841389388d4845a09a344
Rights: CC BY
Accession Number: edsair.doi.dedup.....86bca0aed34c8b8fe12b38f368bd48f6
Database: OpenAIRE
Description
Abstract:In mountain areas, the phenology and productivity of grassland are closely related to snow dynamics. However, the influence that snow melt timing has on grassland growing still needs further attention for a full understanding, particularly at high spatial resolution. Aiming to reduce this knowledge gap, this work exploits 1 m resolution snow depth and Normalized Difference Vegetation Index observations acquired with an Unmanned Aerial Vehicle at a sub-alpine site in the Pyrenees. During two snow seasons (2019–2020 and 2020–2021), 14 NDVI and 17 snow depth distributions were acquired over 48 ha. Despite the snow dynamics being different in the two seasons, the response of grasslands greening to snow melt-out exhibited a very similar pattern in both. The NDVI temporal evolution in areas with distinct melt-out dates reveals that sectors where the melt-out date occurs in late April or early May (optimum melt-out) reach the maximum vegetation productivity. Zones with an earlier or a later melt-out rarely reach peak NDVI values. The results obtained in this study area, suggest that knowledge about snow depth distribution is not needed to understand NDVI grassland dynamics. The analysis did not reveal a clear link between the spatial variability in snow duration and the diversity and richness of grassland communities within the study area.
ISSN:20452322
DOI:10.1038/s41598-022-22391-x