Rates of Recovery of Bands, Harvest Patterns and Estimates for Black Duck, Chestnut Teal, Grey Teal and Mountain Duck Shot during Victorian Open Seasons, 1953-1977

1981 ◽  
Vol 8 (3) ◽  
pp. 659 ◽  
Author(s):  
FI Norman ◽  
DGM Powell
Keyword(s):  
Temporal Distribution ◽  
Specific Population ◽  
Term Trend ◽  
Black Duck ◽  
Population Sizes ◽  
Long Term Trend

The temporal distribution of recoveries of bands from black duck Anas superciliosa, chestnut teal A. castanea, grey teal A. gibberifrons and mountain duck Tadorna tadornoides shot in Victoria during open seasons on waterfowl between 1953 and 1977 is examined. Recoveries were higher on the opening day and during the opening week of each season; recoveries on Saturdays exceeded those on other 'days', and Sunday recovery totals were minimal. No increase or long-term trend in weekday recoveries, and hence shooting, was evident during the study period. Speculative harvest estimates are provided for 1972-77, but such figures must be refined and related to data concerning specific population sizes and distribution before implications for management can be formulated.

scholarly journals Spatial and temporal distribution of foot and mouth disease outbreaks in Amhara region of Ethiopia in the period 1999 to 2016

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Endris Aman ◽  
Wassie Molla ◽  
Zeleke Gebreegizabher ◽  
Wudu Temesgen Jemberu
Keyword(s):  
Temporal Distribution ◽  
Foot And Mouth Disease ◽  
Dry Season ◽  
Mouth Disease ◽  
Spatial And Temporal Distribution ◽  
Amhara Region ◽  
Term Trend ◽  
Foot And Mouth ◽  
Long Term Trend

Abstract Background Foot and mouth disease (FMD) is an economically important trans-boundary viral disease of cloven-hoofed animals. It is caused by FMD virus, which belongs to the genus Aphthovirus and family Picornaviridae. FMD is a well-established endemic disease in Ethiopia since it was first detected in 1957. This retrospective study was carried out to identify the spatial and temporal distribution of FMD outbreaks in Amhara region of Ethiopia using 18 years (January 1999–December 2016) reported outbreak data. Results A total of 636 FMD outbreaks were reported in Amhara region of Ethiopia between 1999 and 2016 with an average and median of 35 and 13 outbreaks per year respectively. In this period, FMD was reported at least once in 58.5% of the districts (n = 79) and in all administrative zones of the region (n = 10). The average district level incidence of FMD outbreaks was 4.68 per 18 years (0.26 per district year). It recurs in a district as epidemic, on average in 5.86 years period. The incidence differed between administrative zones, being the lowest in East Gojjam and highest in North Shewa. The occurrence of FMD outbreaks was found to be seasonal with peak outbreaks in March and a low in August. The long-term trend of FMD outbreaks indicates a slight, but statistically significant (p < 0.001) decrease over the study period. Conclusion FMD occurred in all zones of the region and showed statistically significant decrease in the long-term trend. Numbers of outbreaks were relatively higher during dry season. The spatial and temporal distribution identified in this study should be considered in controlling the disease. As unregulated and frequent animal movements are the likely causes of high outbreak occurrence during the dry season, animal movement regulations should be considered for the long-term control of FMD.

NAEP Trends: Main NAEP vs. Long-Term Trend

2010 ◽  
Author(s):  
Albert E. Beaton ◽  
James R. Chromy
Keyword(s):  
Term Trend ◽  
Long Term Trend

scholarly journals A Potential Risk Index Dataset for Landfalling Tropical Cyclones over the Chinese Mainland (PRITC dataset V1.0)

2021 ◽  
Vol 38 (10) ◽  
pp. 1791-1802
Author(s):  
Peiyan Chen ◽  
Hui Yu ◽  
Kevin K. W. Cheung ◽  
Jiajie Xin ◽  
Yi Lu
Keyword(s):  
Tropical Cyclones ◽  
Potential Risk ◽  
Risk Index ◽  
Chinese Mainland ◽  
Current Version ◽  
Term Trend ◽  
The Chinese Mainland ◽  
Landfalling Tropical Cyclones ◽  
Long Term Trend

AbstractA dataset entitled “A potential risk index dataset for landfalling tropical cyclones over the Chinese mainland” (PRITC dataset V1.0) is described in this paper, as are some basic statistical analyses. Estimating the severity of the impacts of tropical cyclones (TCs) that make landfall on the Chinese mainland based on observations from 1401 meteorological stations was proposed in a previous study, including an index combining TC-induced precipitation and wind (IPWT) and further information, such as the corresponding category level (CAT_IPWT), an index of TC-induced wind (IWT), and an index of TC-induced precipitation (IPT). The current version of the dataset includes TCs that made landfall from 1949–2018; the dataset will be extended each year. Long-term trend analyses demonstrate that the severity of the TC impacts on the Chinese mainland have increased, as embodied by the annual mean IPWT values, and increases in TCinduced precipitation are the main contributor to this increase. TC Winnie (1997) and TC Bilis (2006) were the two TCs with the highest IPWT and IPT values, respectively. The PRITC V1.0 dataset was developed based on the China Meteorological Administration’s tropical cyclone database and can serve as a bridge between TC hazards and their social and economic impacts.

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