Distribution of Articles published per year
(2009 - 2016)
(2009 - 2016)
Total number of journals
Article 1 Read 3 Citations Long-term monitoring reveals a highly structured interspecific variability in climatic control of sporocarp production Published: 01 June 2016
Agricultural and Forest Meteorology, doi: 10.1016/j.agrformet.2016.03.015
Highlights•Global warming is altering forest fungi sporocarp production.•Deciphering species level climate response is critical to forecast sporocarp community.•Sporocarp production responded to climate during and before a fruiting season.•Variability in species-level climatic response was highly structured.•Individual models predict a shift in sporocarp community with declining diversity. AbstractUnderstanding factors triggering fungal sporocarp productivity responses to climate at an individual species level is critical to predicting future species composition and abundance under global climate change scenarios. Different climatic responses at a species level may lead to shifts in species turnover and in the relative contributions of different species, which may in turn have strong impacts on community functional attributes. We used sporocarp production data compiled over 15 years of weekly sampling during the mushroom fruiting season in a continental Mediterranean climate pine forest to estimate: (i) the interspecific variability on the climatic factors constraining fungal sporocarp productivity, (ii) the relationship of this variability linked to mushroom phenology and trophic guilds, and (iii) the impact of different species responses on sporocarp community composition and diversity under projected climate change scenarios. Fungal fruitbody production was closely correlated with climatic conditions throughout the year, indicating that sporocarp development may be controlled by processes occurring well before the fruiting season. The large interspecific variability in the climatic factors controlling sporocarp production was highly structured with differences inlength of the temporal window controlling this process, and the timing of the summer-autumn rainfall climatic signal being the most relevant factors. Climatic response was unrelated to fungal phenology or trophic guild. When individual models are applied to future climate scenarios (2021–2080), they predict a decrease in total sporocarp productivity, which agrees with community based models, as well as a shift in community composition, leading to less species-diverse assemblages.
Article 1 Read 3 Citations Assessing the impact of measurement time interval when calculating wind speed means and trends under the stilling phenom... Published: 15 April 2016
International Journal of Climatology, doi: 10.1002/joc.4720
In a globally warming climate, a weakening in observed near-surface wind speed has been recently termed as ‘global stilling’, showing a worldwide average trend of −0.140 m s−1 dec−1. The precise cause(s) of the land-surface stilling remains uncertain and led to this first assessment of how the two most common measurement time intervals of daily mean data averaged wind speed being either: (1) four-synoptic times (0000, 0700, 1300 and 1800 UTC; WS) or (2) 24-h wind run measurements (WR) can affect the estimation of wind speed averages and trends. This was performed across Spain for 1961–2011 (12 stations) and 1979–2008 (19 stations), where WS and WR daily wind speed observations were simultaneously recorded. Results indicate that mean wind speed is 0.24 m s−1 statistically greater for WS than WR measurements annually, being seasonally dependent with major differences in July (0.49 m s−1) and minor in December (−0.01 m s−1); that WS (−0.057 m s−1 dec−1) shows a more negative wind speed trend when compared with WR (−0.011 m s−1 dec−1) annually (and seasonally) for 1979–2008, but few trend differences are statistically significant; and that the percentage of stations showing stilling is greater for WS (63.2%) than WR (36.8%) annually (and seasonally) for the shortest period. In contrast, differences are almost negligible for 1961–2011. These findings may have direct implications for interdisciplinary areas such as agriculture and hydrology and wind renewable energy, and highlight the need of improving our understanding on the causes associated with wind speed declines under a climate change scenario.
Article 1 Read 3 Citations The complex influence of ENSO on droughts in Ecuador Published: 26 March 2016
Climate Dynamics, doi: 10.1007/s00382-016-3082-y
Article 1 Read 6 Citations Pinus halepensis regeneration after a wildfire in a semiarid environment: assessment using multitemporal Landsat images Published: 01 January 2011
International Journal of Wildland Fire, doi: 10.1071/wf08203
We studied the spatial and temporal patterns of forest regeneration using a 24-year time series of Landsat images and the normalised difference vegetation index (NDVI) in a homogeneous Pinus halepensis forest, 3000 ha of which were extensively burned in 1995. We demonstrated a progressive slow and linear recovery in NDVI values, based on Landsat images between 1997 and 2007. The forest tended to recover to pre-disturbance conditions, both with respect to the magnitude of the NDVI and in terms of the spatial pattern. We found that the spatial differences in the rates of NDVI recovery were not affected by the burn severity. Moreover, burn severity did not affect the rates of NDVI recovery after the fire. Although highly homogeneous P. halepensis regeneration was the dominant pattern in the study area (more than the 70% of the burn area showed positive and significant trends), some spatial differences in the magnitude of change were observed. The forest tended to recover the spatial pattern corresponding to pre-fire conditions, although it was difficult to establish whether terrain elevation or previous tree size and density were the main governing factors, given the strong relationship between them.
Article 1 Read 16 Citations Daily atmospheric circulation events and extreme precipitation risk in northeast Spain: Role of the North Atlantic Oscil... Published: 22 April 2009
Journal of Geophysical Research, doi: 10.1029/2008jd011492
 We used a novel method that combined probabilistic analysis and spatial modeling assisted by GIS to analyze the risk of extreme precipitation in northeast Spain related to three atmospheric circulation configurations: the North Atlantic Oscillation (NAO), the Mediterranean Oscillation, and the Western Mediterranean Oscillation (WeMO). The analysis was performed at an event‐based scale using data obtained from daily atmospheric circulation indices. The maximum intensity and total precipitation magnitude recorded during positive and negative circulation events were obtained from the daily records of 174 observatories between 1950 and 2006. The series of both maximum intensity and magnitude for positive and negative phases of the three atmospheric circulation indices follow a generalized Pareto (GP) distribution. A regression‐based interpolation procedure was used to generate distributed maps of GP parameters, enabling us to determine the probability of the magnitude and maximum intensity of precipitation and the quantile precipitation for any return period associated with the positive and negative phases of the three atmospheric circulation patterns. A high spatial variability in precipitation risk was found, depending on the positive/negative phases of the three atmospheric circulation patterns. Different phases of the circulation indices show contrasting effects on the two analyzed parameters. Thus the most extreme daily precipitation during winter months is expected for negative WeMO events, representing a markedly different result from those obtained for other events. In contrast, negative NAO events record the most extreme precipitation magnitude risk per event, although this is mainly restricted to mountainous areas.