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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
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Your Position :Home->Past Journals Catalog->2020 Vol.39 No.1

A Survey on the Population Densities of Three Galliformes Species by Using Two Different Methods in the Heizhugou National Nature Reserve, Sichuan
Author of the article:WEN Xue1, YAN Yong1, HE Meixiang1, RAN Jianghong1*, MA Xiaolong2, QIU Ruijun2, WANG Ni3
Author's Workplace:1. Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, China;
2. Administration of Heizhugou National Nature Reserve, Ebian, Sichuan Province 614300, China;
3. Yulin Desert Forest Park Management Center, Yulin, Shaanxi Province 719000, China
Key Words:Galliformes; population density; line transect method; point count method
Abstract:Population size is an important basic ecological character of species, and thus applying appropriate density survey method is fundamental to estimate the quantity. In this study, 2 commonly used methods (line transect and point count) were used to estimate the population densities of 3 Galliformes species of calling males (Chrysolophus amherstiae, Tragopan temminckii, and Ithaginis cruentus) in the Heizhugou National Nature Reserve (Sichuan province) between April and May in 2016. The results of line transect method and point count method showed that the population densities of the 3 species were 1.20 individuals/km2 and (6.31±0.98) individuals/km2, 5.41 individuals/km2 and (0.39±0.17) individuals/km2, and 3.01 individuals/km2 and (5.97±2.70) individuals/km2, respectively. This result suggested that except for T. temminckii, the densities of the other 2 species estimated by using point count method are better than by using line transect method. Therefore, it is recommended that different methods should be used for estimating the population densities of different pheasants, and large sample size can improve the accuracy of predictive results.
2020,39(1): 68-74 收稿日期:2019-01-21
分類號:Q959.7;Q958.1
作者簡介:文雪(1993-),碩士研究生,研究方向:自然保護區、濕地、森林公園的建設與管理,E-mail:[email protected]
*通信作者:冉江洪,E-mail:[email protected]
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