Short-term climatic trends affect the temporal variability of macroinvertebrates in California ‘Mediterranean’ streams

2007 ◽  
Vol 52 (12) ◽  
pp. 2317-2339 ◽  
Author(s):  
LEAH A. BÊCHE ◽  
VINCENT H. RESH
2007 ◽  
Vol 87 (5) ◽  
pp. 1069-1074 ◽  
Author(s):  
David J. Blockley ◽  
Victoria J. Cole ◽  
Julie People ◽  
M. Gabriela Palomo

The distribution and abundance of intertidal organisms can be affected by short-term events, such as rain. We compared the effects of rain on intertidal mobile invertebrates in four common microhabitats with differing amounts of shelter (namely beds of oysters, coralline turf, bare patches and crevices) on sea walls in Sydney Harbour. There was an effect of rain on some, but not all taxa, although this was not consistent between locations or times. Effects of rain were observed for some species of gastropods and crustaceans, but not for polychaetes. Manipulative experiments using artificial rain indicated that rain, without the presence of run-off and independent of potential temporal confounding from differences in weather conditions, has a negative effect on abundances of amphipods in coralline turf. Pulse responses by mobile organisms to short-term rain events should be considered when designing experiments looking at temporal variability and processes responsible for observed patterns of distribution of marine organisms.


2012 ◽  
Vol 21 (1) ◽  
pp. 117-136 ◽  
Author(s):  
Deepesh Machiwal ◽  
Amit Mishra ◽  
Madan K. Jha ◽  
Arun Sharma ◽  
S. S. Sisodia

2020 ◽  
Author(s):  
Jacek Tylkowski ◽  
Andrzej Kostrzewski ◽  
Marcin Winowski

<p>To determine the specificity of functioning the Southern Baltic coasts, it is necessary to identify the hydrometeorological conditions that have the greatest effect on the dynamics of geomorphological processes in detail. For the offshore coastal zone, it is important to determine temporal variability (including trend, cyclicality and seasonality) and spatial diversity (i.e. for cliff and dune coasts) of occurrence of main hydrometeorological and geomorphological processes and events. Among hydrometeorological and geomorphological factors - which are decisive for violent, intense and sometimes irreversible changes in the natural environment - extreme events play an important and sometimes dominant role (Tylkowski, Hojan 2018).</p><p>Geomorphological changes of the cliff coast depend mainly on the dynamics of marine and slope erosion. The high sea level that occurs during storm swells and intense precipitation lead to the transformation of the cliff coast, which is seen in the retraction of the cliff crown, among others (Kostrzewski et al. 2015).</p><p>The purpose of the work was to determine the temporal variability of hydrometeorological conditions, which have the greatest effect on the dynamics of the erosion of the cliff shores of the Wolin island. Hydrometeorological conditions from 1985 – 2019 period were compared to the annual measurements of the cliff crown retraction, which were carried out on 5 test sections in the coastal zone of the Pomeranian Bay on the island of Wolin. The work indicates the occurrence of above-average and extreme hydrometeorological events that potentially favoured the occurrence of erosive processes, e.g. mass movements, slopewash and aeolian erosion.</p><p>Using ARIMA modelling, time decomposition of hydrometeorological conditions was made and their short-term forecasts were formulated. The study determined non-seasonal and seasonal parameters that determine the occurrence of current and future meteorological and marine conditions. What is more, spatial differences in the scope of identification of the features of the analysed time series, estimation of parameters of selected models and the formulated forecast are indicated (Tylkowski, Hojan 2019).</p><p> </p><p> </p><p>References</p><p>Tylkowski J., Hojan M., 2018. Threshold values of extreme hydrometeorological events on the Polish Baltic coast. Water 10(10), 1337. doi:10.3390/w10101337</p><p>Kostrzewski A., Zwoliński Z., Winowski M., Tylkowski J., Samołyk M., 2015. Cliff top recesion rate and cliff hazards for the sea coast of Wolin Island (Southern Baltic). Baltica 28(2): 109-120. doi:10.5200/baltica.2015.28.10</p><p>Tylkowski J., Hojan M., 2019: Time decomposition and short-term forecasting of hydrometeorological conditions in the South Baltic coastal zone of Poland. Geosciences 9(68). doi.org/10.3390/geosciences9020068</p>


2008 ◽  
Vol 55 (7) ◽  
pp. 866-880 ◽  
Author(s):  
Joan Moranta ◽  
Enric Massutí ◽  
Constantí Stefanescu ◽  
Miquel Palmer ◽  
Beatriz Morales-Nin

2018 ◽  
Vol 205 ◽  
pp. 32-45 ◽  
Author(s):  
Ryan J. Frazier ◽  
Nicholas C. Coops ◽  
Michael A. Wulder ◽  
Txomin Hermosilla ◽  
Joanne C. White

Author(s):  
Dr. Vasudev S. Salunke ◽  
Pramila. P. Zaware

Rainfall is one of the vital form of precipitation which affects not only agricultural activity but also entire ecology in any region. Hence rainfall distribution and its trends in district is important to understand water availability and to take decisions for the agricultural activities in area. This research paper is an effort to assess the spatial and temporal rainfall variability of Ahmednagar district of Maharashtra State. Ahmednagar is popularly known as the largest district of Maharashtra with fourteen Talukas. The average annual rainfall of this district is 621 mm with an average of 46 rainy days. In this study the spatial and temporal rainfall distribution of this district is taken in to account. Short-term annual rainfall data are considered from 1998 to 2014. The daily rainfalls of monsoon months of all the fourteen Taluka are analyzed for the year 2015.It was found that spatial and temporal variability is high in the District.


2021 ◽  
Vol 146 ◽  
pp. 106147
Author(s):  
Michiel Bastiaensen ◽  
Celine Gys ◽  
Govindan Malarvannan ◽  
Mihai Fotache ◽  
Jasper Bombeke ◽  
...  

2005 ◽  
Vol 5 (2) ◽  
pp. 235-242 ◽  
Author(s):  
A. Zischg ◽  
S. Fuchs ◽  
M. Keiler ◽  
J. Stötter

Abstract. The fatality risk caused by avalanches on road networks can be analysed using a long-term approach, resulting in a mean value of risk, and with emphasis on short-term fluctuations due to the temporal variability of both, the hazard potential and the damage potential. In this study, the approach for analysing the long-term fatality risk has been adapted by modelling the highly variable short-term risk. The emphasis was on the temporal variability of the damage potential and the related risk peaks. For defined hazard scenarios resulting from classified amounts of snow accumulation, the fatality risk was calculated by modelling the hazard potential and observing the traffic volume. The avalanche occurrence probability was calculated using a statistical relationship between new snow height and observed avalanche releases. The number of persons at risk was determined from the recorded traffic density. The method resulted in a value for the fatality risk within the observed time frame for the studied road segment. The long-term fatality risk due to snow avalanches as well as the short-term fatality risk was compared to the average fatality risk due to traffic accidents. The application of the method had shown that the long-term avalanche risk is lower than the fatality risk due to traffic accidents. The analyses of short-term avalanche-induced fatality risk provided risk peaks that were 50 times higher than the statistical accident risk. Apart from situations with high hazard level and high traffic density, risk peaks result from both, a high hazard level combined with a low traffic density and a high traffic density combined with a low hazard level. This provided evidence for the importance of the temporal variability of the damage potential for risk simulations on road networks. The assumed dependence of the risk calculation on the sum of precipitation within three days is a simplified model. Thus, further research is needed for an improved determination of the diurnal avalanche probability. Nevertheless, the presented approach may contribute as a conceptual step towards a risk-based decision-making in risk management.


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