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Issue:ISSN 1000-7083
          CN 51-1193/Q
Director:Sichuan Association for Science and Technology
Sponsored by:Sichuan Society of Zoologists; Chengdu Giant Panda Breeding Research Foundation; Sichuan Association of Wildlife Conservation; Sichuan University
Address:College of Life Sciences, Sichuan University, No.29, Wangjiang Road, Chengdu, Sichuan Province, 610064, China
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Your Position :Home->Past Journals Catalog->2018 Vol.37 No.3

Ailuropoda melanoleuca Olfactory Communication Locations Suitability Assessment in Xiaozhaizigou National Nature Reserve Based on MaxEnt Modeling
Author of the article:LI Yunxi1*, ZHAO Jun2, LI Gang3, HE Fei2, PENG Bo2, LIU Fuwen4, ZHU Yundong2, CHEN Youping5, TU Zhengbin1
Author's Workplace:1. Administration of Wanglang National Nature Reserve, Pingwu, Sichuan Province 622550, China;
2. Administration of Xiaozhaizigou National Nature Reserve, Beichuan, Sichuan Province 622750, China;
3. Pingwu Longmenshan Forest Farm, Pingwu, Sichuan Province 622550, China;
4. Chengdu Changxin Environmental Protection Technology Limited Company, Chengdu 610031, China;
5. Pingwu Forest Protection Association, Pingwu, Sichuan Province 622550, China
Key Words:Ailuropoda melanoleuca; olfactory communication; suitability; MaxEnt modeling; Xiaozhaizigou National Nature Reserve, Sichuan
Abstract:Habitat prediction is the basis for the protection of wild animal. In this study, Maximum Entropy Modeling was applied to the wild giant panda's olfactory communication locations habitat suitability evaluation in Xiaozhaizigou National Nature Reserve, Sichuan. A total of 33 sites were investigated in March and October, 2016. A predictive habitat distribution map of giant pandas olfactory communication sites was estimated using these recorded points and proper environment variables of giant panda's living condition, such as topographic data and human disturbance data. The cumulative contribution rates of bamboo distribution (56.90%) and ridge distance (29.90%) are 86.80%, which are the major ecological factors that affect the chemical communication of giant panda in this region. Olfactory communication locations are primarily located along the bamboo forest and ridges. The habitat is divided into 2 classes including the suitable and unsuitable habitat using a threshold of 0.061 5. The suitable habitat area is 15 187.50 hm2, which accounted for 34.22% of the studied area and mainly distributed in the middle, north and south border adjacent to other nature reserves. The unsuitable habitat area is29 197.20 hm2, which accounted for 65.78% of the studied area. In the case of limited manpower and material resources, this study provides a basis for the reasonable allocation of protective actions for the conservation area to strength the protection of giant panda.
2018,37(3): 275-279 收稿日期:2017-10-26
傅达莉, 王昊. 1997. 秦岭大熊猫的嗅味标记与发情场植被调查[J]. 生物学通报, (4):19-20.
胡锦矗. 2001. 大熊猫研究[M]. 上海:上海科技教育出版社:140-147.
胡进耀. 2015. 四川小寨子沟国家级自然保护区综合科学考察报告[M]. 北京:中国林业出版社:24-31.
刘定震, 魏荣平, 张贵权, 等. 2008. 雄性大熊猫(Ailuropoda melanoleuca)尿液中包含亲缘关系的信息[J]. 科学通报, 53(9):1057-1064.
罗翀, 徐卫华, 周志翔, 等. 2011. 基于生态位模型的秦岭山系林麝生境预测[J]. 生态学报, 31(5):1211-1229.
聂勇刚. 2012. 秦岭野生大熊猫繁殖生态学研究[D]. 北京:中国科学院研究生院:38-40.
四川省林业厅. 2015. 四川省第四次大熊猫调查报告[M].成都:四川科学技术出版社:12-14.
孙儒泳. 2001. 动物生态学原理[M]. 北京:北京师范大学出版社:218-228.
王运生, 谢丙炎, 万方浩, 等. 2007. ROC曲线分析在评价入侵物种分布模型中的应用[J]. 生物多样性, 15(4):365-372.
徐蒙, 王智鹏, 刘定震, 等. 2011. 发情期大熊猫(Ailuropoda melanoleuca)交互模态信号通讯[J]. 科学通报, (36):3073-3077.
雍严格, 魏辅文, 叶新平, 等. 2004. 佛坪自然保护区野生大熊猫交配行为的观察[J]. 兽类学报, 24(4):346-349.
Alberts AC. 1992. Constraints on the design of chemical communication systems in terrestrial vertebrates[J]. American Naturalist, 139:62-89.
Linderman M, An L, Bearer S, et al. 2005. Modeling the spatio-temporal dynamics and interactions of households, landscapes, and giant panda habitat[J]. Ecological Modelling, 183:47-65.
Nie YG, Zhang ZJ, Swaisgood RR, et al. 2012. Effects of season and social interaction on fecal testosterone metabolites in wild male giant pandas:implications for energetics and mating strategies[J]. European Journal of Wildlife Research, 58(1):235-241.
Pearson RG, Raxworthy CJ, Nakamura M, et al. 2007. Predicting species distributions from small numbers of occurrence records:a test case using cryptic geckos in Madagascar[J]. Journal of Biogeography, 34(1):102-117.
Phillips SJ, Anderson RP, Schapire RE. 2006. Maximum entropy modelling of species geographic distributions[J]. Ecological Modelling, 190:231-259.
Swets JA. 1988. Measuring the accuracy of diagnostic systems[J]. Science, 240:85-93.
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