A multidisciplinary study on the effects of climate change in the northern Adriatic Sea and the Marche region (central Italy)

Appiotti, Federica; Krželj, Maja; Russo, Aniello; Ferretti, Maurizio; Bastianini, Mauro; Marincioni, Fausto

doi:10.1007/s10113-013-0451-5

Cited by 44 publications

(29 citation statements)

References 37 publications

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“…In particular, the results indicated a more pronounced increase in the frequency and duration of warm‐related extremes (TX90p, TN90p, WSDI, SU and TR) rather than a reduction in cold extremes (TX10p, TN10P, CSDI, FD and ID); on the other hand, intensity‐related extremes (absolute extreme temperature indices) exhibited less marked and spatially heterogeneous changes (especially TXn and TNn). This partial spatial heterogeneity in trends should be attributed to the morphological contrasts characterizing the CARI, with the presence of the Apennines and the Adriatic sea, which cause the existence of local microclimates within only few kilometres (Appiotti et al, ; Leopardi and Scorzini, ). This is a typical feature of the Italian peninsula (Lo Vecchio and Nanni, ), as it has been shown also in previous studies analysing trends in temperature extremes in related regions, as Emilia Romagna, Basilicata and Calabria (Tomozeiu et al, ; Piccarreta et al ., 2015; Caloiero et al, ).…”

Section: Discussionsupporting

confidence: 93%

“…The study domain extends over the CARI, located around latitude 42÷43°N and longitude 13÷14°E, with an area of about 20 000 km 2 including the administrative regions of Marche and Abruzzo (Figure ). The regional climate is characterized by the influence of the Apennine Mountains and of the Adriatic sea (Appiotti et al, ; Leopardi and Scorzini, ), and in particular the complex orography causes a high climatic variability within only few kilometres. Mean annual maximum and minimum temperatures (based on the normal from 1980 to 2012) vary from 12.0 to 21.7 °C for the maximum and from 3.7 to 12.9 °C for the minimum, depending on elevation and distance from the sea.…”

Section: Methodsmentioning

confidence: 99%

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Recent trends in daily temperature extremes over the central Adriatic region of Italy in a Mediterranean climatic context

Scorzini

Bacco

Leopardi

2018

Intl Journal of Climatology

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This study provides an assessment of recent changes in near‐surface air temperature over the central Adriatic region of Italy, focusing on extreme events at annual and seasonal scales. It investigates trends in selected indices calculated from quality controlled and homogenized daily temperature data recorded from 1980 to 2012 at 34 meteorological stations distributed over the territory. The results reveal overall warming tendencies, particularly pronounced in spring and summer, with significant increases in the duration of warm spells (WSDI) and in the frequency of warm days (TX90p) and warm nights (TN90p), summer days (SU) and tropical nights (TR). Moreover, cold‐related extremes (cold spell duration (CSDI), cool days (TX10p) and cool nights (TN10p), frost days (FD) and icing days (ID)) show significant reductions, although of lower magnitudes, thus confirming the recent warming over the study domain. Prevalent increasing tendencies are also observed for absolute extreme temperature indices (highest and lowest daily values of maximum and minimum temperatures), but with more mixed and less uniform spatial patterns. Finally, the influence of large‐scale circulation modes on temperature extremes is examined. The results highlight the presence of significant correlations between most of the selected extreme temperature indices and the East‐Atlantic pattern, in particular for the warm season.

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Section: Discussionsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

Recent trends in daily temperature extremes over the central Adriatic region of Italy in a Mediterranean climatic context

Scorzini

Bacco

Leopardi

2018

Intl Journal of Climatology

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“…The testing of the trends' statistical significance was done in relation to the application's a thresholds (two-tailed test), i.e., 0.1, 0.05, 0.01 and 0.001 (corresponding to confidence levels of 90, 95, 99 and 99.9 %), which have been integrally used in numerous studies on temperature variability (Mohsin and Gough 2010;Croitoru et al 2012a;Ageena et al 2014;Appiotti et al 2014;Cheval et al 2014). In addition to positive/negative trends, the study also considered stationary trends, defined by a slope value of 0.000 (Croitoru et al 2013b).…”

Section: Trend Detection and Annual Temperature Rate Computationmentioning

confidence: 99%

“…Given this context, the two methods are widely used in specialized literature focusing on climatic data trend analysis (Tabari and Hosseinzadeh Talaee 2011;Wang and Zhang 2012;Croitoru et al 2013a, b;Meng et al 2013;Tabari and Hosseinzadeh Talaee 2013;Wang et al 2013;Ageena et al 2014;Appiotti et al 2014;Dumitrescu et al 2014;Liu et al 2014;Tao et al 2014;Khalili et al 2015;Prȃvȃlie and Bandoc 2015;Bandoc and Prȃvȃlie 2015;Tabari et al 2015;Zhang et al 2015;Zhu et al 2015 etc. ).…”

Section: Trend Detection and Annual Temperature Rate Computationmentioning

confidence: 99%

Spatio-temporal trends of mean air temperature during 1961–2009 and impacts on crop (maize) yields in the most important agricultural region of Romania

Prăvălie

Bandoc

Patriche

et al. 2016

Stoch Environ Res Risk Assess

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Climate change analysis is essential, considering the numerous economic and ecological implications of this critical global environmental issue. This paper analyzes the spatial and temporal trends of mean air temperature in Romania's most important agricultural area, the south and south-eastern region, between 1961 and 2009. In this respect, multiannual (the entire period) and multidecadal ) trends were analyzed using the Mann-Kendall test and Sen's slope method at 23 weather stations, annually, seasonally and for the growing season of the region's main agricultural crops (maize and wheat). Multiannually, the results showed statistically significant temperature increases, on all temporal scales (maximum rate of 0.06°C/year recorded in summer, equivalent to a net temperature rise of 2.82°C), except for the autumn season (cooling without statistical significance). Multidecadally, the 1961-1990 period is marked by a general cooling, especially in autumn (maximum values of -0.07°C/year or over 2°C net cooling). In the 1971-2000 and 1981-2009 periods, a general warming was observed (maximum in summer for both multidecades, when positive rates peaked at 0.09°C/year, or 2.5-3°C net warming), but the warming of the last three decades is the most prominent in terms of spatial average magnitude and trend significance. Upon analysis of the impact of climate warming on agricultural yields (maize) through linear regression, in the 1991-2000 decade, considered as case study, it was found that in 32 % of the total analyzed area there are evident relationships between the two variables (p value \0.05). In this case, a dependency of 33-50 % (40 %, on average) of maize to climate was found, and a sensitivity (loss) ranging between 0.9 and 1.5 t/ha/year (1.2 t/ha/year, on average) for a 1°C temperature rise. At the same time, significant losses (of up to 1.7 t/ha/year) of maize for a 1°C temperature rise were identified in 51 % of the area, but with little p value significance (between 0.05 and 0.1). It is however necessary to analyse the agro-climatic results cautiously, considering that only one decade of climate-agriculture relationship was studied. The results can be useful first and foremost for mitigating the climate change impact on agricultural systems, by prioritizing future adaptation strategies enforced by policy makers.

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“…Using this index for exploring the possible future evolution of climate potentials for tourism, authors show that its seasonality might be affected: optimal conditions are projected to degrade during the present summer peak visitation period, while improving in spring and autumn. Appiotti et al (2014) conducted an integrated analysis of recent climate change (including atmosphere, sea and land) and social reaction and adaptation in central Italy and the northern portion of the Adriatic Sea. Changes, combined with anthropogenic effects, appear to influence the northern Adriatic marine environment and ecosystem with impacts that are also evident inland.…”

Section: Climate Change Impactsmentioning

confidence: 99%

The climate of the Mediterranean region: research progress and climate change impacts

et al. 2014

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A multidisciplinary study on the effects of climate change in the northern Adriatic Sea and the Marche region (central Italy)

Cited by 44 publications

References 37 publications

Recent trends in daily temperature extremes over the central Adriatic region of Italy in a Mediterranean climatic context

Recent trends in daily temperature extremes over the central Adriatic region of Italy in a Mediterranean climatic context

Spatio-temporal trends of mean air temperature during 1961–2009 and impacts on crop (maize) yields in the most important agricultural region of Romania

The climate of the Mediterranean region: research progress and climate change impacts

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