Data from: Forest-associated understorey birds persist in agroforestry orchards within tropical rubber and oil palm landscapes
Data files
Sep 10, 2025 version files 35.07 KB
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Data-BITR-24-283.xlsx
32.93 KB
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README.md
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Abstract
Tropical agricultural landscapes can support biodiversity, including forest spill-over species, shaped by habitat factors operating at multiple scales. Understanding these factors is crucial for conserving biodiversity and maintaining ecosystem services. Using mist-netting data, this study examined how land-cover changes influence understorey birds and identified key factors at stand- and landscape-levels, along with a site-specific feature, affecting bird assemblages in agroforestry orchards, rubber tree, and oil palm plantations in Peninsular Malaysia. We captured 39 species over 9,900 netting hours, with forest-associated species comprising 33% of the total. Agricultural type emerged as primary driver of bird diversity, with agroforestry orchards supporting greater species richness and abundance. Canopy cover negatively influenced species richness, total abundance, and the occurrence of carnivorous/insectivorous and granivorous/frugivorous birds. Understorey vegetation height positively impacted bird total abundance. Elevation negatively influenced bird abundance and the occurrence of omnivores but positively affected forest-associated species. Distance to forest was negatively correlated with bird abundance and the occurrence of omnivorous birds. Our findings highlight agroforestry orchards as avian refuges and biological corridors that enhance landscape connectivity and ecosystem functioning in agricultural areas. Specifically, in our region, dense canopy cover in monoculture plantations reduced bird richness and abundance, likely due to reduced sunlight suppressing understorey vegetation and limiting resource availability. Conversely, agroforestry orchards with more open canopy and structurally complex vegetation supported a greater diversity of feeding guilds, including certain forest-associated species. These results underscore the importance of managing tropical farmland by maintaining understorey growth, increasing canopy heterogeneity, and reducing isolation from forest remnants.
Dataset DOI: 10.5061/dryad.0cfxpnwd4
Description of the data and file structure
This dataset comprises bird mist netting data conducted on agroforestry orchards, oil palm, and rubber tree plantations. Mist netting was conducted at 330 sampling points in Negeri Sembilan State, Malaysia. Additionally, the dataset encompasses variables determined at stand and landscape levels, as well as a site-specific feature gathered at each sampling point
File name: Data-BITR-24-283.xlsx
Data-specific information:
1. Number of variables: 14
2. Number of cases/rows: 330
3. Variable list:
- Point: Number assigned to each sampling point (point 1 - point 330)
- Agricultural type: Agricultural type which represented by the sampling point (oil palm, rubber, or orchard)
- Total abundance: Total number of birds captured
- Total species: Total number of species captured
- Omnivorous-occurrence: Recorded as present (1) if any species from the omnivorous group were captured, otherwise absent (0)
- Carnivorous/insectivorous-occurrence: Recorded as present (1) if any species from the Carnivorous/insectivorous group were captured, otherwise absent (0)
- Granivorous/frugivorous-occurrence: Recorded as present (1) if any species from the Granivorous/frugivorous group were captured, otherwise absent (0)
- Forest-associated-occurrence: Recorded as present (1) if any species from the Forest-associated group were captured, otherwise absent (0)
- Understory vegetation cover: Coverage of understory vegetation primarily composed of shrubs, grasses, and ferns (percentage, %)
- Understory vegetation height: height measurement of herbaceous plants and perennial woody plants (centimetre, cm)
- Canopy cover: Average percentage of shade (percentage, %)
- Crop density: Total number of the cultivated plant individuals per plot
- Elevation: Altitude measured above sea level (metre, m)
- Distance to forest: Shortest measured distance to a forest fragment (kilometre, km)
