| Title | Spatial and temporal classification of coastal regions using bioclimatic indices in a Mediterranean environment |
| Abstract | Bioclimatic indices combine atmospheric parameters to provide analytical indication of climatic features and their evolution in space and time that can directly relate with natural resource availability, distribution, and related bio-physical processes. The availability of bioclimatic information can provide natural resource managers with analytical means to assess the magnitude and temporal evolution of drought and climate change parameters that could affect the availability, demand and use of natural resources for various sectors. This paper presents a methodology to process bioclimatic data in the space and time domains for assessing the moisture/dryness level and water requirements of a region, and inform water resource planning and management decisions related to drought, climate variability and change. The methodology relies on a modular assembly of statistical tests and methods, and utilizes point scale measurements of meteorological data to perform the analysis of the spatial behavior of derived bioclimatic indicators at the continuous regional scale, and evaluate the significance of the temporal trends. Also, the article presents an application of the proposed methodology to a coastal area of southern Italy (the Apulia Region) that is characterized by recurring water supply limitations, involving the use of the popular De Martonne bioclimatic aridity index. The methodology allowed to obtain qualitative and quantitative information about the aridity level of the Apulia region, the identification of main bioclimatic zones, and the evaluation of spatial pattern and time evolution of aridity. The determination of bioclimatic zones showed that nearly 40% of the regional territory is characterized by dry sub-humid (Mediterranean) climate, about 30% by sub-humid climate, while nearly 10% and 20% are characterized by semi-arid and humid climates, respectively. The temporal analysis revealed that the Salento and the Ionian coastal zone are areas at risk of increasing aridity, with resulting impacts on the water supply and demand for irrigated agriculture. (C) 2019 Elsevier B.V. All rights reserved. |
| Source | Science of the total environment 700, pp. 1–16 |
| Keywords | Climate changeAridityMeteorological parametersTime-seriesSpatial analysisTrend analysisKrigingBioclimatic classification |
| Journal | Science of the total environment |
| Editor | Elsevier, Lausanne ;, Paesi Bassi |
| Year | 2020 |
| Type | Articolo in rivista |
| DOI | 10.1016/j.scitotenv.2019.134415 |
| Authors | Passarella, Giuseppe; Bruno, Delia; Lay-Ekuakille, Aime; Maggi, Sabino; Masciale, Rita; Zaccaria, Daniele |
| Text | 422619 2020 10.1016/j.scitotenv.2019.134415 Scopus 2 s2.0 85073226024 ISI Web of Science WOS WOS 000499480800057 Climate change Aridity Meteorological parameters Time series Spatial analysis Trend analysis Kriging Bioclimatic classification Spatial and temporal classification of coastal regions using bioclimatic indices in a Mediterranean environment Passarella, Giuseppe; Bruno, Delia; Lay Ekuakille, Aime; Maggi, Sabino; Masciale, Rita; Zaccaria, Daniele CNR IRSA Water Res Inst; CNR IIA Inst Atmospher Pollut; Univ Salento; CNR IIA Inst Atmospher Pollut; Univ Calif Davis Bioclimatic indices combine atmospheric parameters to provide analytical indication of climatic features and their evolution in space and time that can directly relate with natural resource availability, distribution, and related bio physical processes. The availability of bioclimatic information can provide natural resource managers with analytical means to assess the magnitude and temporal evolution of drought and climate change parameters that could affect the availability, demand and use of natural resources for various sectors. This paper presents a methodology to process bioclimatic data in the space and time domains for assessing the moisture/dryness level and water requirements of a region, and inform water resource planning and management decisions related to drought, climate variability and change. The methodology relies on a modular assembly of statistical tests and methods, and utilizes point scale measurements of meteorological data to perform the analysis of the spatial behavior of derived bioclimatic indicators at the continuous regional scale, and evaluate the significance of the temporal trends. Also, the article presents an application of the proposed methodology to a coastal area of southern Italy the Apulia Region that is characterized by recurring water supply limitations, involving the use of the popular De Martonne bioclimatic aridity index. The methodology allowed to obtain qualitative and quantitative information about the aridity level of the Apulia region, the identification of main bioclimatic zones, and the evaluation of spatial pattern and time evolution of aridity. The determination of bioclimatic zones showed that nearly 40% of the regional territory is characterized by dry sub humid Mediterranean climate, about 30% by sub humid climate, while nearly 10% and 20% are characterized by semi arid and humid climates, respectively. The temporal analysis revealed that the Salento and the Ionian coastal zone are areas at risk of increasing aridity, with resulting impacts on the water supply and demand for irrigated agriculture. C 2019 Elsevier B.V. All rights reserved. 700 Published version https //www.sciencedirect.com/science/article/pii/S0048969719344067 10/09/2019 Passarella et al., STOTEN 2019 Passarella, G., Bruno, D., Lay Ekuakille, A., Maggi, S., Masciale, R., Zaccaria, D. 2020 . Spatial and temporal classification of coastal regions using bioclimatic indices in a Mediterranean environment. Science of the Total Environment, 700, 134415. 1 s2.0 S0048969719344067 main.pdf Articolo in rivista Elsevier 0048 9697 Science of the total environment Science of the total environment Sci. total environ. deliaevelina.bruno BRUNO DELIA EVELINA giuseppe.passarella PASSARELLA GIUSEPPE sabino.maggi MAGGI SABINO rita.masciale MASCIALE RITA TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche |
