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Do insectivorous bird communities decline on land-bridge forest islands in Peninsular Malaysia?

Published online by Cambridge University Press:  17 December 2010

Ding Li Yong*
Affiliation:
Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543, Republic of Singapore
Lan Qie
Affiliation:
Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543, Republic of Singapore Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences. Menglun, Yunnan 666303, China
Navjot S. Sodhi
Affiliation:
Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543, Republic of Singapore
Lian Pin Koh
Affiliation:
Institute of Terrestrial Ecosystems, ETH Zürich, CHN G 74.2, Universitätstrasse 16, 8092 Zürich, Switzerland
Kelvin S.-H. Peh
Affiliation:
Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
Tien Ming Lee
Affiliation:
Division of Biological Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA92093-0116, USA Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA
Haw Chuan Lim
Affiliation:
Department of Biological Sciences & Museum of Natural Science, Louisiana State University, Baton Rouge, LA, 70803, USA
Susan L.-H. Lim
Affiliation:
Institute of Biological Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia
*
1Corresponding author. Email: zoothera@yahoo.com
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Abstract:

To assess the impact of habitat fragmentation on tropical avian communities, we sampled lowland forest birds on six land-bridge islands and two mainland forest sites in Lake Kenyir, Peninsular Malaysia using timed point counts, hypothesizing that insectivorous birds are the worst affected guild. We used an information-theoretic approach to evaluate the effects of area, isolation, primary dietary guild (omnivore, frugivore and insectivore) and their interactions in predicting species richness, abundance and diversity. Our analysis showed that a model that considered the effects of area, dietary guild and their interaction best explained observed patterns of species richness. But a model considering both area and dietary guild best explained the variation in abundance. Notably, insectivorous birds were singled out as the dietary guild most sensitive to fragmentation, followed by frugivorous and omnivorous birds and hence provide support for our hypothesis. Assemblages of insectivorous birds were clearly depauperate on anthropogenic forest islands in Lake Kenyir and are consistent with forest fragmentation studies in the Neotropics. Given their specialized foraging ecology and diversity, conservation of intact communities of insectivorous bird guilds in Malaysia will be critical for maintaining predator–prey interactions in lowland tropical forests.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2010
Figure 0

Figure 1. Location of Lake Kenyir in Peninsular Malaysia. Inset: Map of the Lake Kenyir area showing the six islands and two mainland sites sampled.

Figure 1

Figure 2. Species accumulation curves for birds (rescaled to number of individuals), with estimated areas, at six islands and two mainland sites.

Figure 2

Table 1. Estimated bird richness using the four best non-parametric estimators (Chao1, Chao 2, Jack 1, Jack 2) and mean proportion of species detected for each of the eight sites sampled.

Figure 3

Figure 3. Dendrogram showing per cent similarity of bird communities sampled from six islands and two mainland sites, using a simple species absence-presence matrix. Per cent similarity is based on agglomerative cluster analysis using the Bray–Curtis index.

Figure 4

Figure 4. Bar chart showing number of bird species at each site sampled, classified by respective dietary guilds: omnivore, insectivore and frugivore. (Abbreviations used – ML, Mainland; JLT, Jelatang; JRG, Jerangau; LBN, Laban; YZD, Yazid; LTK, Latak; PTL, Petelot).

Figure 5

Figure 5. Observed species richness (a), abundance (b) and Shannon's diversity index H (c) plotted against log10-transformed area for all sites. Regression lines (solid lines) for the bird dietary guild Insectivore (solid squares), Frugivore (solid circles) and Omnivore (solid triangles) with ± SE of estimated slopes (broken lines) as confident intervals were drawn according to the general linear mixed effect model ~ Area + Guild + Area: Guild. Area: Guild denotes the interaction between Area and Guild. For the response variable abundance, the most plausible model does not include the interaction term and the confidence intervals of the three regression lines overlap.

Figure 6

Table 2. General linear mixed-effects models and summary statistics for species richness, abundance, and Shannon's diversity index H. Predictor variables included the main effects of Area, Isolation and Guild and two interaction terms, Area: Guild and Isolation: Guild. All models used Site as a random effect. K = number of model parameters, LL = minimum negative log-likelihood, AICc = Akaike's information criterion corrected for small sample size, DAICc = difference between AICc of the top-ranked and current model; wAICc = wAICc weight.

Figure 7

Table 3. Observed species richness of the six insectivorous foraging guilds on six islands and two mainland control sites sampled. Foraging guild classification follows Wong (1986).

Figure 8

Appendix 1. List of bird species recorded on six island and two mainland sites sampled.

Figure 9

Appendix 2. General linear mixed-effects models and summary statistics for species richness, abundance, and Shannon's diversity index H (excluding mainland sites). The candidate models consist of island area, dietary guild of birds and their interaction term (area: guild). A null model is included in each model set as control. K = number of model parameters; LL = minimum negative log-likelihood; AICc = Akaike's information criterion corrected for small sample size; DAICc = difference between AICc of the top-ranked and current model; wAICc = AICc weight.