Data from: Bioacoustic assessment of mangrove health: Influence of habitat characteristics on bird richness
Data files
Jan 08, 2025 version files 265.48 KB
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mydata.csv
263.04 KB
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README.md
2.44 KB
Abstract
Mangroves play a vital role in coastal ecosystems, providing numerous ecosystem functions and services as well as supporting high levels of biodiversity. Using a bioacoustic approach, we assessed the influence of mangrove habitat variables on birds in four sites in Peninsular Malaysia. We set up 20 bioacoustic audio recorders across Telok Gong, Kapar Tambahan, Banjar Utara Forest Reserves, and Kuala Selangor Nature Park. The recorders operated for 30 min every hour over a period of 24 hr for seven consecutive days. We assessed the habitat characteristics at each site by establishing one 20 m x 20 m quadrat at each of the recording points. Generalized Linear Mixed Models indicated that the percentage of canopy cover, average tree height, forest age, number of saplings, forest size, and ground cover positively influenced bird richness. Our findings highlight the importance of maintaining these habitat features to support higher bird species richness in mangroves. This study demonstrated the possible use of bioacoustics to assess the mangrove restoration recovery progress via birds as bioindicators.
README: Data from: Bioacoustic assessment of mangrove health: Influence of habitat characteristics on bird richness
https://doi.org/10.5061/dryad.t1g1jwtch
Description of the data and file structure
The dataset was collected during a bioacoustic monitoring study with habitat assessments at 20 sampling points across four sites. Each 20 m × 20 m quadrat was divided into four 10 m × 10 m subquadrats for detailed vegetation measurements, including canopy cover, ground cover, average tree height (using a clinometer), and sapling counts. Canopy and ground cover percentages were calculated with the Canopeo and GLAMA apps, respectively. Average tree heights were derived from representative trees in each height class, and forest size was included to assess its impact on bird species richness. The data was processed using R software.
mydata.csv : assessment of habitat features
Site: the site where bioacoustic recordings were conducted. Kuala Selangor Nature Park (KSNP), Hutan Simpan Banjar Utara (HSBU), Hutan Simpan Telok Gong (HSTG), Hutan Simpan Kapar Tambahan (HSKT)
Hour: hourly observation time in a 24-hour system.
Sampling Point: points where bioacoustic recorders were placed.
Total Species Detected: number of identified bird species
Canopy Cover 1 (%): percentage of canopy cover at subquadrat 1
Canopy Cover 2 (%): percentage of canopy cover at subquadrat 2
Canopy Cover 3 (%): percentage of canopy cover at subquadrat 3
Canopy Cover 4 (%): percentage of canopy cover at subquadrat 4
Ground Cover 1 (%): percentage of ground cover at subquadrat 1
Ground Cover 2 (%): percentage of ground cover at subquadrat 2
Ground Cover 3 (%): percentage of ground cover at subquadrat 3
Ground Cover 4 (%): percentage of ground cover at subquadrat 4
Sapling 1 (0.5m-1m): number of saplings (0.5m–1m in height) at subquadrat 1
Sapling 2 (0.5m-1m): number of saplings (0.5m–1m in height) at subquadrat 2
Sapling 3 (0.5m-1m): number of saplings (0.5m–1m in height) at subquadrat 3
Sapling 4 (0.5m-1m): number of saplings (0.5m–1m in height) at subquadrat 4
Tree Height 1 (m): average tree height at subquadrat 1
Tree Height 2 (m): average tree height at subquadrat 2
Tree Height 3 (m): average tree height at subquadrat 3
Tree Height 4 (m): average tree height at subquadrat 4
Forest Size (ha): total size of the forest in hectares
Forest Age (years): age of the forest in years
Methods
The dataset was collected during a bioacoustic monitoring study with habitat assessments conducted at 20 sampling points across four sites. At each point, a 20 m × 20 m quadrat was divided into four 10 m × 10 m subquadrats for detailed measurements of vegetation characteristics, including canopy cover, ground vegetation cover, average tree height (using a clinometer), and sapling counts. Canopy and ground cover percentages were calculated using Canopeo and GLAMA mobile applications, respectively. Average tree heights were derived from representative trees within each height class, and forest size was included to account for its influence on bird species richness. The data was then processed using an R software.