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Remote Sens. 2019, 11(6), 614; https://doi.org/10.3390/rs11060614

Assessing Across-Scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps

1
Institute of Ecology, University of Innsbruck, Sternwartestrasse 15, 6020 Innsbruck, Austria
2
School of Geosciences, University of Edinburgh, EH9 3JW Edinburgh, UK
3
Sustainable Ecosystems and Bioresources Department, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all’Adige (TN), Italy
4
Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy
5
Institute of Biometeorology, National Research Council (CNR), 50145 Firenze, Italy
6
Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Agripolis, 35020, Legnaro, Italy
7
International Livestock Research Institute (ILRI), P.O. Box 30709, 00100 Nairobi, Kenya
8
Remote Sensing of Environmental Dynamics Laboratory, DISAT, Universita degli Studi Milano-Bicocca, 20126 Milano, Italy
9
Center Agriculture Food Environment, University of Trento, Via E. Mach 1, 38010 San Michele all’Adige (TN), Italy
10
Centre for Integrative Biology, University of Trento, Via Sommarive, 14, 38123 Povo (TN), Italy
11
Biodiversity and Molecular Ecology Department, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all’Adige (TN), Italy
*
Author to whom correspondence should be addressed.
Received: 10 January 2019 / Revised: 18 February 2019 / Accepted: 6 March 2019 / Published: 13 March 2019
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Abstract

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. View Full-Text
Keywords: optical diversity-productivity relationships; grasslands; optical diversity; productivity; Sentinel-2 optical diversity-productivity relationships; grasslands; optical diversity; productivity; Sentinel-2
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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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.; Vescovo, L. Assessing Across-Scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps. Remote Sens. 2019, 11, 614.

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