scholarly journals Extreme Minimum Temperature Zones of British Columbia

2014 ◽  
Author(s):  
D W McKenney ◽  
J H Pedlar ◽  
K Lawrence ◽  
P Papadopol ◽  
K Campbell ◽  
...  
Keyword(s):  
British Columbia ◽  
Minimum Temperature ◽  
Extreme Minimum Temperature

scholarly journals Extreme Minimum Temperature Zones of Central and Southern British Columbia

2014 ◽  
Author(s):  
D W McKenney ◽  
J H Pedlar ◽  
K Lawrence ◽  
P Papadopol ◽  
K Campbell ◽  
...  
Keyword(s):  
British Columbia ◽  
Minimum Temperature ◽  
Extreme Minimum Temperature

scholarly journals Temperature Change and Its Elevation Dependency in the Source Region of the Yangtze River and Yellow River

2014 ◽  
Vol 6 (2) ◽  
pp. 124 ◽  
Author(s):  
Chongyi E ◽  
Hongchang Hu ◽  
Hong Xie ◽  
Yongjuan Sun
Keyword(s):  
Temperature Change ◽  
Minimum Temperature ◽  
Yangtze River ◽  
Yellow River ◽  
Source Region ◽  
Maximum Temperature ◽  
Climatic Data ◽  
The Yangtze River ◽  
Extreme Minimum Temperature ◽  
The Mean

The study of temperature change and its elevation dependency in the source region of the Yangtze River and Yellow River have been insufficient owing to the lack of adequate observation stations and long-term climatic data. In this study five temperature indices of 32 stations from 1961 to 2007 in and near the source region are used. The 32 stations all have experienced significant warming; the warming amplitudes are higher than the mean warming amplitude of the Qinghai-Tibetan plateau. The warming amplitudes and the numbers of stations showing significant warming trends in mean minimum temperature and extreme minimum temperature are higher than that of the mean maximum temperature and extreme maximum temperature. The elevation dependency of climatic warming and the amount of significant warming stations are not obvious; the influence of human activity and urbanization may be higher. The warming amplitudes of 26 stations above 3000 m tend to be uniform, and there is no significant law at 6 stations below 3000 m. On the contrary, the ratio of stations showing significant warming in minimum temperature above 4000 m is far less than that of the stations below 4000 m.

scholarly journals Extreme Minimum Temperature Zones of parts of the Prairie provinces

2014 ◽  
Author(s):  
D W McKenney ◽  
J H Pedlar ◽  
K Lawrence ◽  
P Papadopol ◽  
K Campbell ◽  
...  
Keyword(s):  
Minimum Temperature ◽  
Extreme Minimum Temperature ◽  
Prairie Provinces

Distribution and Potential Spread of Japanese Knotweed (Polygonum cuspidatum) in Canada Relative to Climatic Thresholds

2010 ◽  
Vol 3 (1) ◽  
pp. 32-39 ◽  
Author(s):  
Robert S. Bourchier ◽  
Brian H. Van Hezewijk
Keyword(s):  
British Columbia ◽  
Minimum Temperature ◽  
Annual Precipitation ◽  
Suitable Habitat ◽  
Base Temperature ◽  
Japanese Knotweed ◽  
Degree Days ◽  
Southern Ontario ◽  
Degree Day ◽  
Daily Weather Data

AbstractJapanese knotweed (JK) is one of the most aggressive invasive plants known in the U.K., where its biology has been well-studied. It was introduced into Canada around 1900, but only recently has it become a serious concern in the province of British Columbia (BC). Climatic conditions, including annual degree days and mean-annual minimum temperatures at knotweed sites in British Columbia were modeled in BioSIM, using weather normals and long-term daily weather data, and compared to published thresholds (degree day = 2,505 DD, minimum temperature = −30.2 C, base temperature 0 C). The degree-day threshold was more limiting to JK in British Columbia than mean-minimum temperature (12.3% of province habitat was suitable for JK based on degree days compared with 26% for mean-minimum temperature). A new annual-precipitation threshold of 735 mm/year based on 95% of known knotweed sites in BC was identified. The best-fit logistic regression model included degree days and annual precipitation and predicted knotweed presence/absence with over 97% efficiency. Existing knotweed sites occupy just over half of the suitable habitat in BC, indicating there are still significant areas to be invaded. The limiting threshold for knotweed was reversed in Southern Ontario with between 35 to 53% of the habitat suitable based on minimum temperatures, whereas degree-day accumulations and annual precipitation were not limiting. Warmer temperatures from 2000 to 2008 resulted in an increase to 53% of the habitat in Southern Ontario being suitable for knotweed, compared to 35% when 1971 to 2000 weather normals were used. Different climatic thresholds among provinces might result in selection for different invasive knotweed genotypes. This could influence the success of biological control agents because of differential host suitability of knotweed genotypes. Habitat suitability maps generated will enable better targeting of knotweed surveys based on the risk of knotweed establishment.

Invasion of tallow tree into southern US forests: influencing factors and implications for mitigation

2009 ◽  
Vol 39 (7) ◽  
pp. 1346-1356 ◽  
Author(s):  
Jianbang Gan ◽  
James H. Miller ◽  
Hsiaohsuan Wang ◽  
John W. Taylor
Keyword(s):  
Influencing Factors ◽  
Tree Species ◽  
Minimum Temperature ◽  
Mitigation Strategies ◽  
Triadica Sebifera ◽  
Climate Trend ◽  
Southern Us ◽  
Warming Climate ◽  
Tallow Tree ◽  
Extreme Minimum Temperature

We identify species–environment relationships to predict the occurrence of Chinese tallow ( Triadica sebifera (L.) Small) on forestlands in the southern US, where it has emerged as the most pervading, stand-replacing, alien tree species. Tallow invasions are more likely to be observed on low and flat lands, areas adjacent to water and roadways, sites recently harvested or disturbed, younger stands, and private forestlands. The winter extreme minimum temperature tends to restrain tallow northward migration. Increases in both range and severity of tallow invasions are predicted with a warming climate trend, and the situation could be worse if the warming is coupled with an increased frequency and intensity of disturbances. Monitoring and mitigation strategies are proposed to assist this region and other countries threatened by tallow invasions.

scholarly journals Extreme Minimum Temperature Zones of Parts of Central and Western Canada

2014 ◽  
Author(s):  
D W McKenney ◽  
J H Pedlar ◽  
K Lawrence ◽  
P Papadopol ◽  
K Campbell ◽  
...  
Keyword(s):  
Minimum Temperature ◽  
Western Canada ◽  
Extreme Minimum Temperature

Characteristics of wintertime daily and extreme minimum temperature over South Korea

2004 ◽  
Vol 24 (2) ◽  
pp. 145-160 ◽  
Author(s):  
Sang-Boom Ryoo ◽  
Won-Tae Kwon ◽  
Jong-Ghap Jhun
Keyword(s):  
South Korea ◽  
Minimum Temperature ◽  
Extreme Minimum Temperature

Study on Integrated Climatic Index for Low Temperature Injury of Loquat in Putian

2013 ◽  
Vol 726-731 ◽  
pp. 4436-4441
Author(s):  
Kai Yang ◽  
Bin Bin Chen ◽  
Hui Chen ◽  
Jing Lin ◽  
Jia Yi Wang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Critical Temperature ◽  
Low Temperature ◽  
Correlation Analysis ◽  
Minimum Temperature ◽  
Principal Component ◽  
Climate Data ◽  
Climatic Index ◽  
Extreme Minimum Temperature ◽  
Inducing Factors

Based on the daily climate data in winter and relative meteorological yield of loquat for 2 meteorological stations in Putian from 1992 to 2009, this paper studied the disaster-inducing factors and integrated climatic index for low temperature injury of loquat. The results showed that the critical temperature for low temperature injury of loquat could be determined as 3.0°C. The disaster-inducing factors included extreme minimum temperature, the sum of daily numbers for less than or equal to 3.0°C, the sustained days of low temperature injury for less than or equal to 3.0°C, and harmful chilling accumulation for less than or equal to 3.0°C, and there were obvious correlations among these factors. According to the method of principal component analysis, an integrated climatic index was obtained. By the correlation analysis of integrated climatic index for low temperature injury and the relative meteorological yield of loquat in Putian, the value of integrated climatic index of low temperature injury was significantly negatively correlated with the yield of loquat, and could be used to analyze the degree of low temperature injury of loquat.

FRACTALITY OF MONTHLY EXTREME MINIMUM TEMPERATURE

Fractals ◽  
2003 ◽  
Vol 11 (02) ◽  
pp. 137-144 ◽  
Author(s):  
RICARDO DAVID VALDEZ-CEPEDA ◽  
DANIEL HERNÁNDEZ-RAMÍREZ ◽  
BLANCA MENDOZA ◽  
JOSÉ VALDÉS-GALICIA ◽  
DOLORES MARAVILLA
Keyword(s):  
Minimum Temperature ◽  
Missing Values ◽  
Fractal Dimensions ◽  
Data Set ◽  
Power Spectral ◽  
Extreme Minimum Temperature ◽  
Scale Range ◽  
Complete Series ◽  
Near Future

Interest in climate change has increased over the last 30 years due largely to global predictions associated with the greenhouse effect, which appear to lead to a substantial increase in planetary temperature. Implications of such results have led many scientists to examine climatic records from different regions of the world in order to understand temperature behavior. However, many researchers have noted that changes in temperature variability are also important in determining the future temperature distributions. In this context, we have analyzed a long-term record of monthly extreme minimum temperature registered at Guanajuato, Mexico. Data set was treated as a fractal profile to estimate the fractal dimension through variography (Dv) and power-spectral (Ds) approaches under two situations: (1) complete series, from January 1895 to December 1997 with 312 missing observations, and (2) partial series, from January, 1921 to April, 1963 with no missing values. In both cases, we obtained similar values for the two types of fractal dimensions meaning there is not a significant effect of missing values. The estimated fractal dimensions for the partial series (508 observations) are near 1.5 (Dv = 1.445 ± 0.06, Ds = 1.486 ± 0.155), which means monthly extreme minimum temperature is almost equally characterized by both short- and long-range variations. Evaluating through scaling arguments did not evidence multifractality in the scale range of two to 254 months. Then interpolation can make use of the fact that monthly extreme minimum temperature has a power-law spectrum. Interpolated data generated by this way may develop greater confidence in their capability to forecast near future climate.

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