scholarly journals Long-Term Yields of Switchgrass, Giant Reed, and Miscanthus in the Mediterranean Basin

2015 ◽  
Vol 8 (4) ◽  
pp. 1492-1499 ◽  
Author(s):  
Efthymia Alexopoulou ◽  
Federica Zanetti ◽  
Danilo Scordia ◽  
Walter Zegada-Lizarazu ◽  
Myrsini Christou ◽  
...  
Keyword(s):  
Mediterranean Basin ◽  
Giant Reed ◽  
The Mediterranean ◽  
The Mediterranean Basin

scholarly journals Evidence for long‐term prevalence of cucumber vein yellowing virus in Sudan and genetic variation of the virus in Sudan and the Mediterranean Basin

2019 ◽  
Vol 68 (7) ◽  
pp. 1268-1275 ◽  
Author(s):  
C. Desbiez ◽  
P. Caciagli ◽  
C. Wipf‐Scheibel ◽  
P. Millot ◽  
L. Ruiz ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Mediterranean Basin ◽  
The Mediterranean ◽  
The Mediterranean Basin ◽  
Yellowing Virus

scholarly journals The Iberian Peninsula’s Burning Heart—Long-Term Fire History in the Toledo Mountains (Central Spain)

Fire ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 54
Author(s):  
Luelmo-Lautenschlaeger ◽  
Blarquez ◽  
Pérez-Díaz ◽  
Morales-Molino ◽  
López-Sáez
Keyword(s):  
Land Use ◽  
Mediterranean Basin ◽  
Fire Regimes ◽  
Nature Management ◽  
Central Spain ◽  
Fire Activity ◽  
The Mediterranean ◽  
In Fire ◽  
The Mediterranean Basin

Long-term fire ecology can help to better understand the major role played by fire in driving vegetation composition and structure over decadal to millennial timescales, along with climate change and human agency, especially in fire-prone areas such as the Mediterranean basin. Investigating past ecosystem dynamics in response to changing fire activity, climate, and land use, and how these landscape drivers interact in the long-term is needed for efficient nature management, protection, and restoration. The Toledo Mountains of central Spain are a mid-elevation mountain complex with scarce current anthropic intervention located on the westernmost edge of the Mediterranean basin. These features provide a perfect setting to study patterns of late Holocene fire activity and landscape transformation. Here, we have combined macroscopic charcoal analysis with palynological data in three peat sequences (El Perro, Brezoso, and Viñuelas mires) to reconstruct fire regimes during recent millennia and their linkages to changes in vegetation, land use, and climatic conditions. During a first phase (5000–3000 cal. BP) characterized by mixed oak woodlands and low anthropogenic impact, climate exerted an evident influence over fire regimes. Later, the data show two phases of increasing human influence dated at 3000–500 cal. BP and 500 cal. BP–present, which translated into significant changes in fire regimes increasingly driven by human activity. These results contribute to prove how fire regimes have changed along with human societies, being more related to land use and less dependent on climatic cycles.

Comparison of model and satellite-derived long-term precipitation databases over the Mediterranean basin: A general overview

2010 ◽  
Vol 97 (1-2) ◽  
pp. 170-184 ◽  
Author(s):  
R. Aznar ◽  
M.G. Sotillo ◽  
M.L. Martín ◽  
S. Somot ◽  
F. Valero
Keyword(s):  
Mediterranean Basin ◽  
General Overview ◽  
The Mediterranean ◽  
The Mediterranean Basin

Are wildfires a disaster in the Mediterranean basin? - A review

2008 ◽  
Vol 17 (6) ◽  
pp. 713 ◽  
Author(s):  
Juli G. Pausas ◽  
Joan Llovet ◽  
Anselm Rodrigo ◽  
Ramon Vallejo
Keyword(s):  
Mediterranean Basin ◽  
Fire Severity ◽  
Fire Regimes ◽  
Mediterranean Ecosystems ◽  
Human Disturbances ◽  
Erosion Rates ◽  
The Mediterranean ◽  
Soil Losses ◽  
The Mediterranean Basin

Evolutionary and paleoecological studies suggest that fires are natural in the Mediterranean basin. However, the important increase in the number of fires and area burned during the 20th century has created the perception that fires are disasters. In the present paper, we review to what extent fires are generating ecological disasters in the Mediterranean basin, in view of current fire regimes and the long-term human pressure on the landscapes. Specifically, we review studies on post-fire plant regeneration and soil losses. The review suggests that although many Mediterranean ecosystems are highly resilient to fire (shrublands and oak forest), some are fire-sensitive (e.g. pine woodlands). Observed erosion rates are, in some cases, relatively high, especially in high fire severity conditions. The sensitive ecosystems (in the sense of showing strong post-fire vegetation changes and soil losses) are mostly of human origin (e.g. extensive pine plantations in old fields). Thus, although many Mediterranean basin plants have traits to cope with fire, a large number of the ecosystems currently found in this region are strongly altered, and may suffer disasters. Post-fire disasters are not the rule, but they may be important under conditions of previous human disturbances.

Long-term precipitation trend analysis in Europe and in the Mediterranean basin

2018 ◽  
Vol 32 (3) ◽  
pp. 433-445 ◽  
Author(s):  
Tommaso Caloiero ◽  
Paola Caloiero ◽  
Francesco Frustaci
Keyword(s):  
Trend Analysis ◽  
Mediterranean Basin ◽  
Precipitation Trend ◽  
The Mediterranean ◽  
The Mediterranean Basin

Italian network of four permanent observatories: implementation of background data selection (BaDSfit) and 5-year analysis of the atmospheric CO2 mixing ratio.

2020 ◽  
Author(s):  
Pamela Trisolino ◽  
Alcide di Sarra ◽  
Damiano Sferlazzo ◽  
Salvatore Piacentino ◽  
Francesco Monteleone ◽  
...  
Keyword(s):  
Radiative Forcing ◽  
Mediterranean Basin ◽  
Large Scale ◽  
Hot Spot ◽  
Regional Scale ◽  
Data Selection ◽  
Background Data ◽  
The Mediterranean ◽  
The Mediterranean Basin

<p>The Mediterranean basin is considered a global hot-spot region for climate change and air-quality. CO<sub>2</sub> is the single most-important anthropogenic greenhouse gas (GHG) in the atmosphere, accounting approximatively for ∼63% of the anthropogenic radiative forcing by long-lived GHG. According to Le Quérée et al. (2018), the increasing of the atmospheric CO<sub>2</sub> mixing ratios in the global atmosphere is driven by fossil fuel and cement production.<br>In order to reduce GHG emissions and taking into account the needs for economy and society development, schemes of regulation and emission trading have been adopted at international, national, and city levels. The implementation of these regulation, to achieve the goal successfully, needs scientific evidence and information provided on consistent datasets. In the last year, efforts are dedicated to set up harmonized reference networks at difference scales (WMO/GAW, AGAGE, ICOS).<br>In this work, we analysed a set of continuous long-term measurements of CO<sub>2</sub> carried out at 4 atmospheric observatories in Italy belonging to the WMO/GAW network and spanning from the Alpine region to central Mediterranean Sea: Plateau Rosa (western Italian Alps, 3480 m a.s.l.), Mt. Cimone (northern Apennines, 2165 m a.s.l.), Capo Granitola (southern Sicily coastline) and Lampedusa Island. Mt. Cimone is also a “class-2” ICOS station, while Plateau Rosa and Lampedusa are in the labelling process. Starting time of GHG observations range from 1979 for Mt. Cimone to 2015 for Capo Granitola. Due to their different locations and ecosystems, they provide useful hints to investigate CO<sub>2</sub> variability on different latitudinal and altitudinal ranges in the Mediterranean basin and to study of natural and anthropogenic-related processes able to affect the observed variability.<br>The study addresses primarily differences in daily and seasonal cycles at the different sites, and implemented a procedure to identify background conditions called BaDSfit (Background Data Selection for Italian stations; Trisolino et al., submitted). This methodology was originally used at Plateau Rosa station (Apadula, 2019) and it is based on the Mauna Loa data selection method (Tans and Thoning, 2008). BaDSfit consist of three steps and an optimization of the procedure was carried out with a sensitivity study.  Marked differences among the daily cycles at the various sites exist. The effect of the data selection on the seasonal and diurnal cycle and long-term evolution is investigated. The BaDSfit lead to a more coherent diurnal and seasonal evolution of the different datasets, is able to identify background condition and allows the separation of local/regional scale from large scale phenomena in the CO<sub>2</sub> time series.</p>

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