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Population status, habitat preference and distribution of Bristled Grassbird Chaetornis striata in Bangladesh

Published online by Cambridge University Press:  25 August 2022

Sayam U. Chowdhury*
Affiliation:
Conservation Science Group, Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
Mohammod Foysal
Affiliation:
16/C, Tallabag, Sobhanbag, Dhaka – 1207, Bangladesh
Nazim Uddin Khan
Affiliation:
16/C, Tallabag, Sobhanbag, Dhaka – 1207, Bangladesh
Sakib Ahmed
Affiliation:
16/C, Tallabag, Sobhanbag, Dhaka – 1207, Bangladesh
M. Abdullah Abu Diyan
Affiliation:
16/C, Tallabag, Sobhanbag, Dhaka – 1207, Bangladesh
*
*Author for correspondence: Sayam U. Chowdhury, Email: sayam_uc@yahoo.com
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Summary

The little-known Bristled Grassbird Chaetornis striata is thought to be declining due to the loss of grassland habitats throughout its range, and is currently classified as globally ‘Vulnerable’. In order to investigate the current status and possible causes of the presumed decline, we assessed population density of Bristled Grassbird in Padma and Jamuna river systems of Bangladesh. The study was conducted during the breeding seasons of the Bristled Grassbird in April and May in 2016–2019, using distance sampling and habitat suitability modelling. We also examined habitat preferences and responses to environmental changes based on vegetation structure and habitat modifications at point count locations. We detected a total of 39 birds with a mean group size of 1.44 individuals. We estimated 4.52 (95% CI: 2.65–7.73) individuals per km2 with an encounter rate of 1.48 detections per point count station and 341.15 birds within the study area. Our habitat suitability model projected a total of 167.41 km2 of suitable habitat and a total of 756.7 birds in floodplain grasslands of Padma and Jamuna river systems. The Bristled Grassbird was positively associated with grass height and grass density with 92.31% of 39 detections at Saccharum spontaneum dominated grasslands. We did not find a significant effect on Bristled Grassbird detections with increasing human activities, although the detection rate decreased linearly with increasing agricultural intervention and grass harvesting. These findings indicate that the Bristled Grassbird is more widely distributed throughout Bangladesh, and may be less vulnerable to grassland modifications, than previously thought.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of BirdLife International
Figure 0

Figure 1. Projected potential distribution (black areas) of Bristled Grassbird in the Padma and Jamuna river systems in Bangladesh based on habitat suitability model (ISO Cluster classification), study sites (red squares) and point count stations of site 1 (white circles). Further details of each location are given in Table 1.

Figure 1

Table 1. Bristled Grassbird survey sites, area, number of point count (PC) stations and GPS coordinates of each site.

Figure 2

Figure 2. Histogram (left column) of detection distances for point count surveys with corresponding fit to model predicting the detection probability with increasing distance from the point count stations using a truncation at 100 m distance. The detection curve, corresponding QQ-plot (right column) with goodness of fit test results are predicted by Hazard-rate key function model.

Figure 3

Table 2. Results of distance sampling of three different models used to estimate density (individual/km2) of Bristled Grassbird along large rivers of Bangladesh, with Akaike information criterion (AIC) values, AICC weights of each model, encounter rate (ER) per point count station, standard error (SE), coefficient of variation (CV), 95% confidence interval (CI) and degrees of freedom (df).

Figure 4

Table 3. Results of Generalised Liner Models (GLMs) testing for the effect of habitat variables, vegetation height, vegetation density and human activities on presence of Bristled Grassbird during breeding season across all sites of the study area. Significant effects are indicated in bold.

Figure 5

Figure 3. Linear regression indicating significant positive correlations between Bristled Grassbird abundance and grass density (A), grass cover (B) and grass height (C), and weak relationship with shrub density (D), cover (E) and height (F).

Figure 6

Figure 4. Linear regression showing effect of agricultural interventions (A), grass harvesting (B) and livestock grazing (C) on the abundance of Bristled Grassbird at point count stations.

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