Zakaria Mohamed, Rajpar Muhammad Nawaz
Department of Forest Management, Faculty of Forestry, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Trop Life Sci Res. 2010 Dec;21(2):7-26.
A comparison study was conducted to determine the bird species composition, relative abundance, species diversity and feeding guilds based on point count (PC) and mist netting (MN) at the Paya Indah Wetland Reserve (PIWR), Peninsular Malaysia. A total of 13872 bird observations belonging to 100 species and 38 families were recorded using the PC method over 15 consecutive months, and a total of 1478 bird individuals belonging to 65 species and 33 families were captured using the MN method over 1260 netting hours. The results showed that Treron vernans (1723 observations; 12.42%) was the most abundant bird species using the PC method, whereas Pycnonotus goiavier (378 individuals; 25.64%) was the most abundant bird species using the MN method. The Ardeidae (9 species; 23.68%) was the most dominant family using the PC method, but the Rallidae (6 species; 18.18%) was the most dominant family using the MN method. The PC method produced higher species diversity (Shannon's N1 = 31.22) and richness (Margalef's R1 = 10.42) than MN, whereas the MN method produced higher species evenness (McIntosh's E = 0.86) than the PC method. Frugivore/insectivore comprised of bulbuls, orioles, pigeons and starlings was the most dominant feeding guild in both methods (PC = 27.81% and MN = 32.88%). In contrast, carnivore was the rarest feeding guild in both methods (i.e. PC = 0.17% and MN = 0.20%). These findings indicate that the PC method is more efficient and produces better results than the MN method.
在马来西亚半岛的瓜拉英达湿地保护区（PIWR），进行了一项比较研究，以确定基于点计数（PC）和雾网捕获（MN）的鸟类物种组成、相对丰度、物种多样性和取食类群。连续15个月使用PC方法记录了总共13872次鸟类观察，涉及100个物种和38个科；在1260个雾网捕获小时内，使用MN方法共捕获了1478只鸟类个体，涉及65个物种和33个科。结果表明，使用PC方法时，绿皇鸠（1723次观察；12.42%）是最丰富的鸟类物种，而使用MN方法时，黑喉红臀鹎（378只个体；25.64%）是最丰富的鸟类物种。使用PC方法时，鹭科（9种；23.68%）是最主要的科，但使用MN方法时，秧鸡科（6种；18.18%）是最主要的科。PC方法产生的物种多样性（香农指数N1 = 31.22）和丰富度（马加莱夫指数R1 = 10.42）高于MN方法，而MN方法产生的物种均匀度（麦金托什指数E = 0.86）高于PC方法。在两种方法中，以鹎、黄鹂、鸽子和椋鸟为代表的食果动物/食虫动物是最主要的取食类群（PC = 27.81%，MN = 32.88%）。相比之下，食肉动物是两种方法中最稀有的取食类群（即PC = 0.17%，MN = 0.20%）。这些发现表明，PC方法比MN方法更有效，产生的结果更好。
