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Investigating climate variability and long-term vegetation activity across heterogeneous Basilicata agroecosystems

Authors :
Vito Telesca
Vito Imbrenda
Maria Ragosta
Mariagrazia D’Emilio
Rosa Coluzzi
Giuseppina Anna Giorgio
Maria Lanfredi
Tiziana Simoniello
Maria Macchiato
Coluzzi, Rosa
D’Emilio, Mariagrazia
Imbrenda, Vito
Giorgio, Giuseppina A.
Lanfredi, Maria
Macchiato, Maria
Ragosta, Maria
Simoniello, Tiziana
Telesca, Vito
Source :
Geomatics, Natural Hazards & Risk, Vol 10, Iss 1, Pp 168-180 (2019), Geomatics, natural hazards & risk, info:cnr-pdr/source/autori:Coluzzi, Rosa; D'Emilio, Mariagrazia; Imbrenda, Vito; Giorgio, Giuseppina A.; Lanfredi, Maria; Macchiato, Maria; Ragosta, Maria; Simoniello, Tiziana; Telesca, Vito/titolo:Investigating climate variability and long-term vegetation activity across heterogeneous Basilicata agroecosystems/doi:10.1080%2F19475705.2018.1513872/rivista:Geomatics, natural hazards & risk (Print)/anno:2019/pagina_da:168/pagina_a:180/intervallo_pagine:168–180/volume:10
Publication Year :
2018
Publisher :
Informa UK Limited, 2018.

Abstract

The Basilicata region summarizes many basic features of the biogeographic complexity characterizing Mediterranean countries. The intricate geomorphology and the long history of human management generated the current landscapes, which include both high-value ecosystems and areas prone to desertification. Preserving goods and services provided by such composite land cover mosaics poses many problems due to the interference/overlap of diverse natural and anthropic factors which make the correct selection of relevant parameters and the interpretation of observational data rather difficult. Here, we study interconnections between local climate and vegetation activity by correlating parameters characterizing the interannual statistics of the NDVI (Normalized Difference Vegetation Index), derived from satellite data, with a recently devised multivariate statistical index of meteoclimatic variability. We used a 15-year sequence of remote images concerning a set of plots located around meteorological ground stations of the central-eastern part of the region to pick up spatial structures in the vegetation–climate relationships. Our analyses were able to correlate spatial heterogeneity to variations in water exchanges between vegetation and atmosphere. This study represents a first step to improve the description of relevant processes to protect natural habitats and quality agriculture, therefore combating land degradation and climate change detrimental effects.

Details

ISSN :
19475713 and 19475705
Volume :
10
Database :
OpenAIRE
Journal :
Geomatics, Natural Hazards and Risk
Accession number :
edsair.doi.dedup.....8fdc40bfb29bb00bdd38811f0bfa031d