Spatiotemporal changes in antlerless proportion of culled Sika deer in relation to deer density

Author(s):  
Kei K. Suzuki ◽  
Teruki Oka ◽  
Masatoshi Yasuda
2021 ◽  
Vol 8 ◽  
Author(s):  
David J. Kelly ◽  
Enda Mullen ◽  
Margaret Good

Despite advances in herd management, tuberculosis (TB) continues to affect ~0. 5% of Ireland's national cattle herd annually. It is clear that any “final” eradication of TB in cattle will need to address all TB maintenance hosts in the same environment. In Ireland and the UK, European Badgers (Meles meles) are a known TB maintenance host, while deer are recognised as spillover hosts. However, deer have been identified as maintenance hosts in other countries and Sika deer, specifically, have been identified with TB in Ireland. We examined the power of cattle, badger and Sika deer densities (at the county level) to predict cattle TB-breakdowns in Ireland, at both the herd and the individual level, using data collected between 2000 and 2018. Our hypothesis was that any positive correlations between deer density and cattle TB-breakdowns would implicate deer as TB maintenance hosts. Using linear multiple regressions, we found positive correlations between deer density and cattle TB-breakdowns at both the herd and individual levels. Since Sika deer in County Wicklow are known to have TB, we ran further regressions against subsets of data which excluded individual Irish counties. Analyses excluding Wicklow data showed much weaker correlations between Sika deer density and cattle TB-breakdowns at both the herd and individual levels, suggesting that these correlations are strongest in County Wicklow. A similar effect for badger density was seen in County Leitrim. While locally high densities of Sika deer persist in Irish counties, we believe they should be considered an integral part of any TB-control programme for those areas.


2009 ◽  
Vol 60 (4) ◽  
pp. 297-304 ◽  
Author(s):  
Takeo YAMAUCHI ◽  
Kenji TABARA ◽  
Hiroki KANAMORI ◽  
Hiroki KAWABATA ◽  
Satoru ARAI ◽  
...  
Keyword(s):  

2013 ◽  
Vol 104 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Hideharu Tsukada ◽  
Yoshio Nakamura ◽  
Tsugihiko Kamio ◽  
Hisashi Inokuma ◽  
Yasuko Hanafusa ◽  
...  

AbstractHaemaphysalis longicornis (Acari: Ixodidae) is one of the most common and important arthropod disease vectors in Japan, carrying Japanese spotted fever and bovine theileriosis. The recent expansion of sika deer (Cervus nippon, Artiodactyla: Cervidae) populations, the most common wild host of H. longicornis, has also caused concern about increasing the risk of vector-borne diseases in Japan. We used generalized linear mixed model analysis to determine the relative contribution of deer density and other biological and abiotic factors on the abundance of H. longicornis ticks questing at each developmental stage. A total of 6223 H. longicornis adults, nymphs, and larvae were collected from 70 sites in three regions of central Japan. The abundance of questing adult and nymphal ticks was associated with deer density and other biotic and abiotic factors. However, the abundance of questing larvae showed no association with deer density but did show an association with other biotic and abiotic factors. These findings show that a high density of deer along with other biotic and abiotic factors is associated with increased risk of vector-borne diseases through amplified local abundance of questing nymphal and adult H. longicornis. Further, questing larvae abundance is likely regulated by environmental conditions and is likely correlated with survival potential or the distribution of other host species.


2021 ◽  
Vol 67 (2) ◽  
Author(s):  
Yoshikazu Seki ◽  
Masafumi Ito ◽  
Kei Okuda ◽  
Masaaki Koganezawa
Keyword(s):  

1998 ◽  
Vol 244 (1) ◽  
pp. 123-134 ◽  
Author(s):  
A. M. Long ◽  
N.P. Moore ◽  
T. J. Hayden

2020 ◽  
Vol 64 (4) ◽  
pp. 40407-1-40407-13 ◽  
Author(s):  
Ran Pang ◽  
He Huang ◽  
Tri Dev Acharya

Abstract Yongding River is one of the five major river systems in Beijing. It is located to the west of Beijing. It has influenced culture along its basin. The river supports both rural and urban areas. Furthermore, it influences economic development, water conservation, and the natural environment. However, during the past few decades, due to the combined effect of increasing population and economic activities, a series of changes have led to problems such as the reduction in water volume and the exposure of the riverbed. In this study, remote sensing images were used to derive land cover maps and compare spatiotemporal changes during the past 40 years. As a result, the following data were found: forest changed least; cropland area increased to a large extent; bareland area was reduced by a maximum of 63%; surface water area in the study area was lower from 1989 to 1999 because of the excessive use of water in human activities, but it increased by 92% from 2010 to 2018 as awareness about protecting the environment arose; there was a small increase in the built-up area, but this was more planned. These results reveal that water conservancy construction, agroforestry activities, and increasing urbanization have a great impact on the surrounding environment of the Yongding River (Beijing section). This study discusses in detail how the current situation can be attributed to of human activities, policies, economic development, and ecological conservation Furthermore, it suggests improvement by strengthening the governance of the riverbed and the riverside. These results and discussion can be a reference and provide decision support for the management of southwest Beijing or similar river basins in peri-urban areas.


2003 ◽  
Vol 9 (1) ◽  
pp. 141-153 ◽  
Author(s):  
Mayumi Sakuragi ◽  
Hiromasa Igota ◽  
Hiroyuki Uno ◽  
Koichi Kaji ◽  
Masami Kaneko ◽  
...  

Mammal Study ◽  
2019 ◽  
Vol 44 (4) ◽  
pp. 261
Author(s):  
Asuka Yamashiro ◽  
Yoshinori Kaneshiro ◽  
Yoichi Kawaguchi ◽  
Tadashi Yamashiro

Mammal Study ◽  
2020 ◽  
Vol 45 (2) ◽  
pp. 155
Author(s):  
Tomoko Naganuma ◽  
Shinsuke Koike ◽  
Rumiko Nakashita ◽  
Chinatsu Kozakai ◽  
Koji Yamazaki ◽  
...  
Keyword(s):  

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