On the distribution and productivity of mountain grasslands in the Gran Paradiso National Park, NW Italy: A remote sensing approach
| العنوان: | On the distribution and productivity of mountain grasslands in the Gran Paradiso National Park, NW Italy: A remote sensing approach |
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| المؤلفون: | Gianluca Filippa, Edoardo Cremonese, Marta Galvagno, Arthur Bayle, Philippe Choler, Mauro Bassignana, Anaïs Piccot, Laura Poggio, Ludovica Oddi, Simon Gascoin, Sergi Costafreda-Aumedes, Giovanni Argenti, Camilla Dibari |
| المساهمون: | Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), 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) |
| المصدر: | International Journal of Applied Earth Observation and Geoinformation International Journal of Applied Earth Observation and Geoinformation, 2022, 108, pp.102718. ⟨10.1016/j.jag.2022.102718⟩ |
| بيانات النشر: | HAL CCSD, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Global and Planetary Change, NDVI, Pasture categories, Pastoral resources, [SDU]Sciences of the Universe [physics], Sentinel 2, Management, Monitoring, Policy and Law, Computers in Earth Sciences, Random forest, Earth-Surface Processes |
| الوصف: | International audience; Mountain grazing lands are key constituents of the natural, economical and cultural heritage, but at the same time sensitive to climate and land use change, hence requiring urgent adaptation and management strategies. These must be based on a better understanding of the distribution of mountain pastoral resources across space and time. In this study we model the distribution and the productivity of grassland surfaces in a topographically complex protected area (Gran Paradiso National Park, 710 km2) in north-western Italian Alps. The objective of our work was threefold: a) modelling the distribution of mountain grasslands across the entire park at a 20-meters spatial resolution, b) classify pastoral surfaces according to productivity classes, and c) according to thirteen pastoral categories. We used a random forest approach to combine a massive terrain vegetation survey as ground truth, with remote-sensing-derived, climatic and topographic layers as predictors. Grassland presence/absence was classified with high accuracy (up to 88%) and, compared to the standard Copernicus European Grassland Product, revealed the presence of extensive high altitude grassland areas potentially available for wild herbivores. Grassland productivity was modelled with remarkably high accuracy both according to three broad productivity classes (90% accuracy) and to a more detailed classification into thirteen pastoral categories (83% accuracy). Productivity estimates agree well with satellite-derived leaf area index maps and with area-averaged NDVI seasonal patterns. We conclude that combining tailored field campaigns and high-resolution remote sensing allows for robust prediction of grassland distribution and productivity even in complex terrains. This information can contribute to improve the management of pastoral resources and promote effective adaptation strategies. |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6d1f48396d911aae91067304178082 https://insu.hal.science/insu-03668293 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....be6d1f48396d911aae91067304178082 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |