The rapid northward shift of the range margin of a Mediterranean parasitoid insect (Hymenoptera) associated with regional climate warming

2014 ◽  
Vol 41 (7) ◽  
pp. 1379-1389 ◽  
Author(s):  
Emilie Delava ◽  
Roland Allemand ◽  
Lucas Léger ◽  
Frédéric Fleury ◽  
Patricia Gibert
Keyword(s):  
Climate Warming ◽  
Regional Climate ◽  
Range Margin

Simulating High-Elevation Hydropower with Regional Climate Warming in the West Slope, Sierra Nevada

2014 ◽  
Vol 140 (5) ◽  
pp. 714-723 ◽  
Author(s):  
David E. Rheinheimer ◽  
Joshua H. Viers ◽  
Jack Sieber ◽  
Michael Kiparsky ◽  
Vishal K. Mehta ◽  
...  
Keyword(s):  
Sierra Nevada ◽  
Climate Warming ◽  
Regional Climate ◽  
High Elevation ◽  
The West

The mechanism of snow shift affect seasonal streamflow in the contiguous US

2021 ◽  
Author(s):  
Lina Wang ◽  
Ross Woods
Keyword(s):  
Climate Warming ◽  
Regional Climate ◽  
Hydrologic Model ◽  
Hydrological Process ◽  
Phase Partitioning ◽  
Seasonal Flow ◽  
Threshold Mechanism ◽  
The Usa ◽  
Climate Space ◽  
Seasonal Streamflow

<p>Climate warming has caused in a significant decrease in snowpack, increase in precipitation intensity and earlier melt onset. Based on earlier work published in 2014 on changes in streamflow resulting from a shift from snow towards rain, we analysed the sensitivity of seasonal streamflow to the average annual snow fraction in 253 catchments in CAMELS dataset, which have a record length more than 28 years and mean annual snow fraction larger than 15%. The result shows that places (or years) with higher mean annual snow fraction tend to have higher seasonal streamflow. We quantified seasonal sensitivity as a ratio of change in seasonal flow to change in annual snow fraction, for a given annual precipitation.  There are 91%，57% and 51% catchments which showed a positive sensitivity value for Spring, Summer and Winter streamflow, respectively. According to the results of seasonal sensitivity analysis in climate space, we found the largest seasonal sensitivity normally happens at the same regional climate. Places with higher average annual snow fraction tend to have the largest sensitivity in summer, while for places with lower annual snow fraction this largest sensitivity occurs in spring.</p><p>In order to explore the mechanism(s) by which snow fraction change affects seasonal streamflow, we summarized four hypothesised mechanisms from the literature: water-energy synchrony (Mechanism I), inputs exceed threshold (Mechanism II), demand-storage competition (Mechanism III), and energy partitioning (Mechanism IV). Most of the catchments in the western part of the contiguous US can be explained by the mechanism I, II, III and IV, while for catchments in the central US can be explained by mechanism II, III and IV. Catchments in the eastern part (and some scattered in the northern part) can be explained by mechanism III.  Other types of evidence are required to further distinguish between mechanisms in much of the USA. in further research we will use detailed data or hydrologic model to reproduce the hydrological process to find what are the hydrological processes responsible for precipitation phase partitioning changing with climate warming to influence catchment response. These findings would provide an evidence for how does snow affect hydrology, which may help to understand the effect of climate warming on future water resources in snow-dominated regions.</p>

Potential impacts on hydrology and hydropower production under climate warming of the Sierra Nevada

2011 ◽  
Vol 2 (1) ◽  
pp. 29-43 ◽  
Author(s):  
Vishal K. Mehta ◽  
David E. Rheinheimer ◽  
David Yates ◽  
David R. Purkey ◽  
Joshua H. Viers ◽  
...  
Keyword(s):  
Climate Change ◽  
Sierra Nevada ◽  
Climate Warming ◽  
Regional Climate ◽  
Regional Climate Change ◽  
River Basin Management ◽  
Climate Change Scenarios ◽  
Hydropower Generation ◽  
Hydropower Production ◽  
Regulatory Commission

Watersheds of the Cosumnes, American, Bear and Yuba (CABY) Rivers in the Sierra Nevada, California, are managed with a complex network of reservoirs, dams, hydropower plants and water conveyances. While water transfers are based on priorities among competing demands, hydropower generation is licensed by the Federal Energy Regulatory Commission (FERC) and regulated by federal and state laws and multi-party agreements. This paper presents an integrated river basin management (IRBM) model for the CABY region, built to evaluate management and regional climate change scenarios using the Water Evaluation and Planning (WEAP) system. We simulated potential impacts of climate warming on hydrology and hydropower production by imposing a fixed increase of temperature (+2, 4 and 6°C) over weekly historical (1981–2000) climate, with all other climate variables unchanged. Results demonstrate that climate warming will reduce hydropower generation if operational rules remain unchanged, making the case for climate change induced hydrological change as a foreseeable future condition to be included in the FERC licensing process. IRBM tools such as the CABY model presented here are useful in deliberating the same.

Mediterranean seagrass vulnerable to regional climate warming

2012 ◽  
Vol 2 (11) ◽  
pp. 821-824 ◽  
Author(s):  
Gabriel Jordà ◽  
Núria Marbà ◽  
Carlos M. Duarte
Keyword(s):  
Climate Warming ◽  
Regional Climate

scholarly journals Yellow Detritus in the Oceans May Help Reduce Warming

Eos ◽  
2018 ◽  
Vol 99 ◽  
Author(s):  
Aaron Sidder
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Climate Warming ◽  
Regional Climate

Dissolved organic matter in the oceans absorbs light near the water’s surface, leading to cooler waters that may help mitigate regional climate warming.

scholarly journals Spatiotemporal Variation and Abrupt Change Analysis of Temperature from 1960 to 2012 in the Huang-Huai-Hai Plain, China

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yanyu Yin ◽  
Hui Liu ◽  
Xiangsheng Yi ◽  
Weidong Liu
Keyword(s):  
Climate Warming ◽  
Abrupt Change ◽  
Hydrological Cycle ◽  
Spline Interpolation ◽  
Regional Climate ◽  
Kendall Test ◽  
Spatiotemporal Variation ◽  
Seasonal Temperature ◽  
Change Analysis ◽  
Abrupt Change Analysis

Based on a monthly dataset of temperature time series (1960–2012) in the Huang-Huai-Hai Plain of China (HHHPC), spatiotemporal variation and abrupt change analysis of temperature were examined by moving average, linear regression, spline interpolation, Mann-Kendall test, and movingt-test. Major conclusions were listed as follows. (1) Annual and seasonal temperature increased with different rates on the process of fluctuating changes during 1960~2012. The upward trend was 0.22°C 10a−1for annual temperature, while it was very significant in winter (0.34°C 10a−1) and spring (0.31°C 10a−1), moderately significant in autumn (0.21°C 10a−1), and nonsignificant in summer (0.05°C 10a−1). (2) The spatial changes of annual and seasonal temperature were similar. The temperature increased significantly in Beijing and its adjacent regions, while it was nonsignificant in the central and southern regions. (3) The spring, autumn, winter, and annual temperature had warm abrupt change. The abrupt change time for winter temperature was in the late 1970s, while it was in the late 1980s and early 1990s for spring, autumn, and annual temperature. (4) Macroscopic effects of global and regional climate warming and human activities were probably responsible for the temperature changes. The climate warming would influence the hydrological cycle and agricultural crops in the study area.

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