scholarly journals Fecal steroid analysis for monitoring reproduction in the sun bear (Helarctos malayanus)

2004 ◽  
Vol 62 (9) ◽  
pp. 1677-1692 ◽  
Author(s):  
Franz Schwarzenberger ◽  
Gabriella Fredriksson ◽  
Karl Schaller ◽  
Lydia Kolter
2019 ◽  
Vol 21 (1) ◽  
pp. 123-135
Author(s):  
Miriam N. Kunde ◽  
Renata F. Martins ◽  
Joe Premier ◽  
Joerns Fickel ◽  
Daniel W. Förster

AbstractConservation genetics can provide data needed by conservation practitioners for their decisions regarding the management of vulnerable or endangered species, such as the sun bear Helarctos malayanus. Throughout its range, the sun bear is threatened by loss and fragmentation of its habitat and the illegal trade of both live bears and bear parts. Sharply declining population numbers and population sizes, and a lack of natural dispersal between populations all threaten the genetic diversity of the remaining populations of this species. In this first population genetics study of sun bears using microsatellite markers, we analyzed 68 sun bear samples from Cambodia to investigate population structure and genetic diversity. We found evidence for two genetically distinct populations in the West and East of Cambodia. Ongoing or recent gene flow between these populations does not appear sufficient to alleviate loss of diversity in these populations, one of which (West Cambodia) is characterized by significant inbreeding. We were able to assign 85% of sun bears of unknown origin to one of the two populations with high confidence (assignment probability ≥ 85%), providing valuable information for future bear reintroduction programs. Further, our results suggest that developed land (mostly agricultural mosaics) acts as a barrier to gene flow for sun bears in Cambodia. We highlight that regional sun bear conservation action plans should consider promoting population connectivity and enforcing wildlife protection of this threatened species.


2002 ◽  
Vol 64 (4) ◽  
pp. 309-313 ◽  
Author(s):  
Manabu ONUMA ◽  
Masatsugu SUZUKI ◽  
Eiji UCHIDA ◽  
Masami NIIYAMA ◽  
Noriyuki OHTAISHI

2010 ◽  
Vol 74 (7) ◽  
pp. 1121-1135 ◽  
Author(s):  
Cheryl Frederick ◽  
Randall Kyes ◽  
Kathleen Hunt ◽  
Darin Collins ◽  
Barbara Durrant ◽  
...  

2001 ◽  
Vol 63 (3) ◽  
pp. 293-297 ◽  
Author(s):  
Manabu ONUMA ◽  
Masatsugu SUZUKI ◽  
Noriyuki OHTAISHI

2012 ◽  
Vol 93 (2) ◽  
pp. 522-531 ◽  
Author(s):  
Cheryl Frederick ◽  
Kathleen E. Hunt ◽  
Randall Kyes ◽  
Darin Collins ◽  
Samuel K. Wasser

2010 ◽  
Vol 24 (S1) ◽  
Author(s):  
Brent Adrian ◽  
Michael Barton ◽  
Samuel Y. Tang ◽  
Rebecca E. Fisher

1999 ◽  
Vol 15 (2) ◽  
pp. 237-241 ◽  
Author(s):  
Kim McConkey ◽  
Mauro Galetti

2020 ◽  
pp. 88-98
Author(s):  
Lorraine Scotson ◽  
Cheryl Frederick ◽  
Kirsty Officer ◽  
Wai-Ming Wong
Keyword(s):  

Author(s):  
Muhammad Hanif ◽  
Henzulkifli Rahman ◽  
Rizki Atthoriq Hidayat ◽  
Hariyo Tabah Wibisono

The sun bear is conservation mammal in Indonesia. The ecological problems as conflict among mammals and human often happen around wildlife, the one of the case is the conflict between sun bear (helarctos malayanus) with human. In Pasaman where around the anthropogenic landscape is bounded by natural forest as sun bear habitat. In this decade, the story has recorded about ±16 incidents. The aim of this research is to geospatial modeling the area of potential conflict between sun bear- human. The method in this research is to use natural logarithmic and regression logistic. The tool is geographical information system and maximum entropy. The result of this research, there has found the distribute energy each variable landscape ecosystem. The statistical model of the potential conflict it has spread on landscape ecosystem. The average value of AUC prediction in this model is at number of 0.91. The variable contribution which affect are forest edge at number of 39.2%, the alternative food (plantation) at number of 31.4%, and forest fragmentation at number of 16.9%.


2013 ◽  
Vol 25 (5) ◽  
pp. 636-640 ◽  
Author(s):  
Yao-Chun Chien ◽  
Chen-Yeh Lien ◽  
Jun-Cheng Guo ◽  
Shih-Chien Chin ◽  
Ya-Pei Chang ◽  
...  
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