Taohongling National Nature Reserve

Jiujiang, China

Taohongling National Nature Reserve

Jiujiang, China
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Li J.,Jiangxi Normal University | Li J.,Key Laboratory of Forest Ecology and Environment of State Forestry Administration Institute of Forestry Ecology | Li Y.K.,Jiangxi Normal University | Liu W.H.,Taohongling National Nature Reserve
Russian Journal of Ecology | Year: 2017

To better understand the habitat requirements of sika deer in the Taohongling National Nature Reserve, transect lines were set out to collect data on bed sites used by sika deer during the autumn. The results showed that sika deer displayed a preference for bed sites with a moderate height of grass fallow and brush fallow, lower shrub density, higher herb density, lower canopy coverage, and higher undergrowth coverage. The bed sites were also characterized as being located on sunny slopes, gentle slopes, and upper slopes, with high elevation. In addition, most bed sites were located far away from human disturbance (more than 1000 m). A logistic regression analysis model indicated that undergrowth coverage, slope location, canopy coverage, and height of undergrowth were important factors that contributed to the difference between used and non-used plots. The habitat–animal relationship is one of the most important types of information, which could provide important references for the conservation and management of sika deer and their habitats in the Taohongling reserve. © 2017, Pleiades Publishing, Ltd.


Li L.,Beijing Normal University | Shi J.,Beijing Normal University | Wang J.,Chinas Academy of Forestry | Gao Y.,Taohongling National Nature Reserve | And 3 more authors.
European Journal of Wildlife Research | Year: 2013

Conflicts between humans and wildlife, especially wild boar (Sus scrofa), have caused serious problems across the world in recent years. It is necessary to effectively control wild boar agricultural damage that may be influenced by many factors. In this study, we collected data on agricultural damage caused by wild boars from November 2009 to October 2010 using field surveys and social interviews in Taohongling National Nature Reserve of Jiangxi Province, China. We constructed models using binary logistic regression analysis to predict damage risks and to identify the factors influencing damage risks. About 8. 1 % of croplands were damaged by wild boars, and the damage to rice, cotton, and other crops were not distributed based on their respective availability as shown by the result of a chi-square goodness-of-fit test. Five factors (Japanese silvergrass, soil conditions, terrain, distances to settlements, and water sources) were explained in a model based on damage area (area-based model) with the prediction accuracy being 72. 1 %. In addition to these five factors, one additional factor (i. e. distance to forest edge) was retained in a model based on damage frequency (frequency-based model) with the prediction accuracy being 83. 1 %. Caution is needed when we apply these two models to predict boar damage to crops, and it is recommended that both models be used in combination to predict the damage probabilities more accurately. © 2012 Springer-Verlag.


Li L.,Beijing Normal University | Wang J.,Chinese Academy of Forestry | Shi J.,Beijing Normal University | Wang Y.,Jiangxi Science and Technology Normal University | And 2 more authors.
Procedia Environmental Sciences | Year: 2010

Conflicts between human and wildlife, especially the wild boar (Sus scrofa), have been reported from all over the world in recent years, and contradiction between wildlife conservation and local people's interests are more and more serious. The attitudes of local people to wildlife are thus an increasing important element of conservation work. Attitudinal studies have increasingly been adopted as a tool for evaluating public understanding, acceptance and impact of conservation interventions. However, attitudes may vary within a community and be influenced by many factors. In this study, data were collected from November 2009 to January 2010 by questionnaire and informal interviews with local people in Taohongling National Nature Reserve of Jiangxi province to assess how their attitudes towards wild boar were shaped by a series of socio-demographic and physical factors. The results showed that 92.8% of the interviewees considered wild boar had no value while 7.2% chose having value; 29.7% chose "extirpate", 70.3% chose "control" and nobody chose "protect" when asked about how they would expect the wild boar population changes; 86.6% chose "no" and 13.4% chose "yes" when inquired about whether they would kill wild boars when their interests were threatened by wild boars. In a binary logistic regression analysis, gender, residence status, types of fuel sources, frequency of encountering wild boar, area of farmland converted from rice-planting to cotton-planting, level of awareness of wildlife protection and level of wild boar damage to local people's interests were important in shaping people's attitudes. The paper discusses the implications of these results and puts forwards suggestion for alleviating human-wild boar conflicts. © 2010 Published by Elsevier Ltd.

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