Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps

The linearity and scale-dependency of ecosystem biodiversity and productivity relationships (BPRs) have been under intense debate. In a changing climate, monitoring BPRs within and across different ecosystem types is crucial, and novel remote sensing tools such as the Sentinel-2 (S2) may be adopted...

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Autores principales: Sakowska, K., MacArthur, A., Gianelle, D., Dalponte, M., Alberti, G., Gioli, B., Miglietta, F., Pitacco, A., Meggio, F., Fava, Francesco P., Julitta, T., Rossini, M., Rocchini, D., Vescovo, L.
Formato: Journal Article
Lenguaje:Inglés
Publicado: MDPI 2019
Materias:
Acceso en línea:https://hdl.handle.net/10568/107354
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author Sakowska, K.
MacArthur, A.
Gianelle, D.
Dalponte, M.
Alberti, G.
Gioli, B.
Miglietta, F.
Pitacco, A.
Meggio, F.
Fava, Francesco P.
Julitta, T.
Rossini, M.
Rocchini, D.
Vescovo, L.
author_browse Alberti, G.
Dalponte, M.
Fava, Francesco P.
Gianelle, D.
Gioli, B.
Julitta, T.
MacArthur, A.
Meggio, F.
Miglietta, F.
Pitacco, A.
Rocchini, D.
Rossini, M.
Sakowska, K.
Vescovo, L.
author_facet Sakowska, K.
MacArthur, A.
Gianelle, D.
Dalponte, M.
Alberti, G.
Gioli, B.
Miglietta, F.
Pitacco, A.
Meggio, F.
Fava, Francesco P.
Julitta, T.
Rossini, M.
Rocchini, D.
Vescovo, L.
author_sort Sakowska, K.
collection Repository of Agricultural Research Outputs (CGSpace)
description The linearity and scale-dependency of ecosystem biodiversity and productivity relationships (BPRs) have been under intense debate. In a changing climate, monitoring BPRs within and across different ecosystem types is crucial, and novel remote sensing tools such as the Sentinel-2 (S2) may be adopted to retrieve ecosystem diversity information and to investigate optical diversity and productivity patterns. But are the S2 spectral and spatial resolutions suitable to detect relationships between optical diversity and productivity? In this study, we implemented an integrated analysis of spatial patterns of grassland productivity and optical diversity using optical remote sensing and Eddy Covariance data. Across-scale optical diversity and ecosystem productivity patterns were analyzed for different grassland associations with a wide range of productivity. Using airborne optical data to simulate S2, we provided empirical evidence that the best optical proxies of ecosystem productivity were linearly correlated with optical diversity. Correlation analysis at increasing pixel sizes proved an evident scale-dependency of the relationships between optical diversity and productivity. The results indicate the strong potential of S2 for future large-scale assessment of across-ecosystem dynamics at upper levels of observation.
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spelling CGSpace1073542025-12-12T12:41:28Z Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps Sakowska, K. MacArthur, A. Gianelle, D. Dalponte, M. Alberti, G. Gioli, B. Miglietta, F. Pitacco, A. Meggio, F. Fava, Francesco P. Julitta, T. Rossini, M. Rocchini, D. Vescovo, L. biodiversity ecosystems climate grasslands The linearity and scale-dependency of ecosystem biodiversity and productivity relationships (BPRs) have been under intense debate. In a changing climate, monitoring BPRs within and across different ecosystem types is crucial, and novel remote sensing tools such as the Sentinel-2 (S2) may be adopted to retrieve ecosystem diversity information and to investigate optical diversity and productivity patterns. But are the S2 spectral and spatial resolutions suitable to detect relationships between optical diversity and productivity? In this study, we implemented an integrated analysis of spatial patterns of grassland productivity and optical diversity using optical remote sensing and Eddy Covariance data. Across-scale optical diversity and ecosystem productivity patterns were analyzed for different grassland associations with a wide range of productivity. Using airborne optical data to simulate S2, we provided empirical evidence that the best optical proxies of ecosystem productivity were linearly correlated with optical diversity. Correlation analysis at increasing pixel sizes proved an evident scale-dependency of the relationships between optical diversity and productivity. The results indicate the strong potential of S2 for future large-scale assessment of across-ecosystem dynamics at upper levels of observation. 2019-03-13 2020-03-02T16:53:40Z 2020-03-02T16:53:40Z Journal Article https://hdl.handle.net/10568/107354 en Open Access MDPI Sakowska, K., MacArthur, A., Gianelle, D., Dalponte, M., Alberti, G., Gioli, B., Miglietta, F., Pitacco, A., Meggio, F., Fava, F., Julitta, T., Rossini, M., Rocchini, D. and Vescovo, L. 2019. Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps. Remote Sensing 11(6):614.
spellingShingle biodiversity
ecosystems
climate
grasslands
Sakowska, K.
MacArthur, A.
Gianelle, D.
Dalponte, M.
Alberti, G.
Gioli, B.
Miglietta, F.
Pitacco, A.
Meggio, F.
Fava, Francesco P.
Julitta, T.
Rossini, M.
Rocchini, D.
Vescovo, L.
Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps
title Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps
title_full Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps
title_fullStr Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps
title_full_unstemmed Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps
title_short Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps
title_sort assessing across scale optical diversity and productivity relationships in grasslands of the italian alps
topic biodiversity
ecosystems
climate
grasslands
url https://hdl.handle.net/10568/107354
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