&amp;lt;i&amp;gt;Brief communication&amp;lt;/i&amp;gt; &amp;quot;Calabria daily rainfall from 1970 to 2006&amp;quot;

Federico, Stefano; Pasqualoni, L.; Avolio, Elenio; Bellecci, C.

doi:10.5194/nhess-10-717-2010

Cited by 16 publications

(6 citation statements)

References 17 publications

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“…The study area features a particularly varied but typically montane environment, with elevations ranging from 300 m to 2,267 m. Beech ( Fagus sylvatica ) and other mixed deciduous forests covered 53.7% of the area, including some of the particularly rare old‐growth beech forests in the Mediterranean region (Lombardi et al ), and 20.7% of the territory was used for agriculture. The area had a humid Mediterranean climate, with hot summers and cold and precipitous winters (mean annual precipitation >1,500 mm; Federico et al ), and snow cover generally extended from November through April, with great variability due to elevation and aspect. Human density averaged 28 ± 283 (SD) inhabitants/km 2 at the township level (2001 census; Italian Institute of Statistics, http://www.istat.it, accessed 15 Sep 2017), with most people concentrated in few villages (most of which were in the peripheral portions of the park), whereas many portions of the park were void of people and settlements (Fig.…”

Section: Study Areamentioning

confidence: 99%

Hierarchical, multi‐grain rendezvous site selection by wolves in southern Italy

et al. 2018

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Fine‐scale knowledge of how anthropogenic effects may alter habitat selection by wolves (Canis lupus) is important to inform conservation management, especially where wolf populations are expanding into more populated areas or where human activity and development are increasingly encroaching on formerly pristine environments. From 1999 to 2003, we documented rendezvous sites (n = 31) used by wolves (n = 6 packs) in a previously unstudied wolf population in the southern Apennines, Italy (Pollino National Park [PNP]), where conditions are ideal to unveil behavioral adaptations of wolves living in human‐dominated landscapes. We adopted a hierarchical, multi‐scale habitat selection approach by using a set of environmental, topographic, and anthropogenic factors within multi‐grain resource selection functions (MRSFs) at the landscape and the territory extent. Habitat selection by wolves was scale‐dependent and different habitat components affected wolves at different grains. When establishing a territory at the landscape scale, wolves avoided areas featuring high densities of humans, paved roads, and trails, and they preferentially located territories where higher forest cover and rough terrain enhanced concealment and ensured reduced accessibility by humans. Concurrently, wolves also selected open areas and, at coarse grain, areas of high density of dirt roads and trails to enhance hunting and traveling efficiency. When selecting rendezvous sites within territories, wolves still selected for forest cover and lessened avoidance of anthropogenic features apparent at the lower order of selection. When choosing rendezvous sites, wolves also avoided low‐use anthropogenic linear features and rough terrain, unveiling trade‐offs in selection decisions across different spatial and temporal scales. Our results reinforce the notion that occurrence of wolves in human‐modified landscapes is shaped by avoidance of anthropogenic pressure, but they also indicate that rendezvous site selection by wolves conform to a hierarchical decision‐making process that is extent‐ and grain‐dependent. Spatially explicit models of rendezvous site selection such as the one we developed for PNP enhance management effectiveness for strategies such as regulating human access and activity during the pup rearing seasons, preventing human persecution, mitigating livestock depredations, and designing cost‐effective monitoring programs. © 2018 The Wildlife Society.

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Section: Study Areamentioning

confidence: 99%

Hierarchical, multi‐grain rendezvous site selection by wolves in southern Italy

et al. 2018

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“…With regard to Italy, its long tradition in climate observations makes a large number of data series potentially available to the climatology community and final users (Brunetti et al, 2006;Maugeri et al, 2008;Acquaotta et al, 2016). Several papers document the use of such data for climate analysis at the scale of Italian regions, like in Marche (Gentilucci et al, 2018), Emilia-Romagna (Tomozeiu et al, 2006), Calabria (Federico et al, 2010), Sardinia (Chessa et al, 1999), Trentino (Eccel et al, 2012), Piedmont (Acquaotta et al, 2016), along with reports from various regional environmental agencies. At the national level, the use of the synoptic stations from the Italian Air Force National Meteorological Service (henceforth AM) is documented, inter alia, in Toreti and Desiato (2008), who used 49 AM stations to analyse seasonal temperatures from 1961from to 2006from , and in Fioravanti et al (2016, who used stations from AM and two regional networks to assess the temporal and spatial variability of the ETCCDI climate extreme indices (Peterson et al, 2001) for the period 1961-2011.…”

Section: Introductionmentioning

confidence: 99%

A new homogenized daily data set for temperature variability assessment in Italy

Fioravanti

Piervitali

Desiato

2019

Intl Journal of Climatology

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We present a new data set of quality‐controlled and homogenized daily maximum (Tmax) and minimum (Tmin) temperature for Italy. The data set includes 144 Tmax and 139 Tmin long‐term series, covering the period 1961–2017. First, the paper provides a description of data sources and quality controls implemented for the detection of erroneous daily observations. Next, the temperature records used for this work are introduced. Following strict data continuity and completeness requirements, we identified more than 500 time series with at least 20 years of valid data (raw data set), which were spatially partitioned using a hierarchical clustering approach. For each cluster, the time series homogeneity was assessed using two different statistical automatic approaches: ACMANT and Climatol. The results of the homogenization process are illustrated only for the long‐term series subset. Both homogenization methods revealed the presence of non‐climatic discontinuities in most of the temperature series. Although Climatol detected a slightly lower number of breakpoints than ACMANT, the two methods are in good agreement with respect to the statistics which describe the number and timing of the breakpoints. Since no metadata are available, the plausibility of the homogenized time series was evaluated using different statistical measures: RMSE, Spearman correlation coefficient and trends estimation. Our results show that the homogenized data sets are more spatially coherent than the raw time series. In particular, the analysis of the annual temperature trends shows more realistic and reliable climatic patterns when the homogenized data sets are considered. For our data, the homogenization process only marginally changes the annual and seasonal warming trend values found for the area‐averaged anomaly raw series. The Tmax and Tmin homogenized data set will be regularly updated and is intended to be used for a variety of climate studies that require data at daily resolution, as the analysis of climate extremes.

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“…Such stress treatments were designed according to the decreasing precipitation trend recently detected over the species’ range ( Federico et al . 2009 , 2010 ). The effect of AGF under the simulated CC scenario was evaluated by analysing the rates of germination and post-germination survival/growth in offspring representing different combinations of population type (i.e.…”

Section: Methodsmentioning

confidence: 99%

“…It consisted in reducing by 20 % the monthly supplied water, as deduced by the precipitation trends recorded in S-Italy over the last decades ( Federico et al . 2009 , 2010 ). Hence, the DRY treatment was designed to mirror actual trends of increasing aridity over the range of the study species.…”

Section: Methodsmentioning

confidence: 99%

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Do marginal plant populations enhance the fitness of larger core units under ongoing climate change? Empirical insights from a rare carnation

et al. 2022

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Assisted gene flow (AGF) can restore fitness in small plant populations. Due to climate change, current fitness patterns could vary in the future ecological scenario, as highly performant lineages can undergo maladaptation under the new climatic contexts. Peripheral populations have been argued to represent a potential source of species adaptation against climate change, but experimental evidence is poor. This paper considers the consequences of within- and between-population mating between a large core population and the southernmost population the rare Dianthus guliae Janka, to evaluate optimal AGF design under current and future conditions. We performed experimental self-pollinations and within- and between-population cross-pollinations to generate seed material and test its adaptive value to aridity. Seed germination, seedling growth and survival were measured under current and expected aridity. Effects of population type, pollination treatment, and stress treatment on fitness components were analysed by generalized linear models. Relative measures of inbreeding depression and heterosis were taken under different stress treatments. Self-pollination reduced fitness for all the considered traits compared to within- and between-population cross-pollination. Under current aridity regime, the core population expressed higher fitness, and a larger magnitude of inbreeding depression. This indicated the core unit is close to its fitness optimum and could allow for restoring the fitness of the small peripheral population. Contrarily, under increased aridity, the fitness of outbred core lineages decreased, suggesting the rise of maladaptation. In this scenario, AGF from the small peripheral population enhanced the fitness of the core unit, whereas AGF from the core population promoted a fitness loss in the peripheral population. Hence, the small peripheral population could improve fitness of large core units versus climate change, while the contrary could be not true. Integrating reciprocal breeding programs and fitness analyses under current and predicted ecological conditions can support optimal AGF design in a long-term perspective.

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<i>Brief communication</i> "Calabria daily rainfall from 1970 to 2006"

Cited by 16 publications

References 17 publications

Hierarchical, multi‐grain rendezvous site selection by wolves in southern Italy

Hierarchical, multi‐grain rendezvous site selection by wolves in southern Italy

A new homogenized daily data set for temperature variability assessment in Italy

Do marginal plant populations enhance the fitness of larger core units under ongoing climate change? Empirical insights from a rare carnation

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