Body-size-dependent effects of landscape-level resource energetics on pollinator abundance in woodland remnants
Data files
Dec 24, 2023 version files 327.90 KB
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beeBL.csv
35.46 KB
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beenet.csv
76.21 KB
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flower.density.visited.plants.csv
12.82 KB
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flowerenergy.csv
4 KB
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nectar.csv
43.48 KB
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pollen.flower.csv
48.52 KB
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PRSB.code.processed.data.7z
89.55 KB
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README_beeBL.csv.txt
1.44 KB
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README_beenet.csv.txt
1.44 KB
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README_flower.density.visited.plants.csv.txt
1.49 KB
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README_flowerenergy.csv.txt
1.50 KB
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README_nectar.csv.txt
4.09 KB
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README_pollen.flower.csv.txt
1.21 KB
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README_PRSB.code.processed.data.7z.txt
823 B
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README_sites.area.csv.txt
1.33 KB
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README.md
3.32 KB
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sites.area.csv
1.21 KB
Dec 25, 2023 version files 327.94 KB
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beeBL.csv
35.46 KB
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beenet.csv
76.21 KB
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flower.density.visited.plants.csv
12.82 KB
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flowerenergy.csv
4 KB
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nectar.csv
43.48 KB
-
pollen.flower.csv
48.52 KB
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PRSB.code.processed.data.7z
89.55 KB
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README_beeBL.csv.txt
1.44 KB
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README_beenet.csv.txt
1.44 KB
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README_flower.density.visited.plants.csv.txt
1.49 KB
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README_flowerenergy.csv.txt
1.50 KB
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README_nectar.csv.txt
4.09 KB
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README_pollen.flower.csv.txt
1.21 KB
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README_PRSB.code.processed.data.7z.txt
823 B
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README_sites.area.csv.txt
1.33 KB
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README.md
3.36 KB
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sites.area.csv
1.21 KB
Dec 23, 2023 version files 327.94 KB
Abstract
Land use change reduces floral resource availability, thereby driving declines in important pollinators. However, the severity of land use impact varies by species, influenced by factors such as dispersal ability and resource specialization, both of which can correlate with body size. Here we test whether floral resource availability in the surrounding landscape (the ‘matrix’) influences bee species’ abundance in isolated remnant woodlands, and whether this effect varies with body size. We sampled quantitative flower-visitation networks within woodland remnants and quantified floral energy resources (nectar and pollen calories) available to each bee species both within woodland and the matrix. Bee abundance in woodland increased with floral energy resources in the surrounding matrix, with strongest effects on larger-bodied species. Our findings suggest important but size-dependent effects of declining matrix floral resources on the persistence of bees in remnant woodlands, highlighting the need to incorporate landscape-level floral resources in conservation planning for pollinators in threatened natural habitats.
README: Body-size-dependent effects of landscape-level resource energetics on pollinator abundance in woodland remnants
https://doi.org/10.5061/dryad.1zcrjdfwr
Description of the data and file structure
Plant-pollinator networks data (beenet.csv)
Description: This csv file contains the full dataset of plant-pollinator networks depicting 56 plant species and 53 bee species. Network links between bee and partner plant pecies were recorded in 23 fragments of banksia woodlands in the Swan Coastal Plain, Western Australia.\
See the article’s Methods and Supplementary Information for details on data collection and analysis.
Bee body mass data (beeBL.csv)
Description: This csv file contains the full dataset of body lenght (mm) and body mass (as dry mass, mg) for 53 bee species recorded in 23 fragments of banksia woodlands in the Swan Coastal Plain, Western Australia. See the article’s Methods and Supplementary Information for details on estimation of bee body mass.
Flower density data (flower.density.visited.plants.csv)
Description: This csv file contains the flower density data file for the number of flowers of the 56 partner plant species (native and non-native) to bees per unit area of the different land cover types recorded in the study area: banksia woodlands, pine plantations, and cleared land. Flower density surveys in banksia woodlands were carried out in 46 belt transects of 50 m x 4 m, and in belt transects of 30 m × 4 m in pine plantations (7 transects) and cleared land (15 transects). See the article’s Methods and Supplementary Information for details on data collection.
Study sites area data (sites.area.csv)
Description: This csv file contains the study sites area of the sampled 23 fragments of banksia woodlands and their surrounding matrix (1-km buffer radius from the fragment edge) in the Swan Coastal Plain, Western Australia.
Nectar sugars data (nectar.csv)
Description: This csv file contains the full dataset of nectar sugars (fructose, glucose, and sucrose) content of flowers of 60 plant species (native and non-native) common to banksia woodlands in the Swan Coastal Plain, Western Australia obtained through High Pressure Liquid Chromatography analysis (HPLC). See the paper's Methods and Supplementary Information for details on nectar collection and analysis.
Pollen mass data (pollen.flower.csv)
Description: This csv file contains the full dataset of pollen mass (mg) per flower for 43 plant species (native and non-native) common to banksia woodlands in the Swan Coastal Plain, Western Australia. See the article’s Methods and Supplementary Information for details on pollen collection and analysis.
Flower energy resources per flower data (flowerenergy.csv)
Description: This csv file contains the full dataset of energy resources (nectar and pollen) per flower for 54 partner plant species (native and non-native) to bees. Network links between bee and partner plant species were recorded in 23 fragments of banksia woodlands in the Swan Coastal Plain, Western Australia. See the papers' Methods and Supplementary Information for details on data collection and analysis.
Code/Software
R code and raw / processed data used in the analysis are found in a compressed data file at: PRSB.code.processed.data.7z
Methods
Our study focused on bees (Hymenoptera: Apoidea: Anthophila) and their partner plant species. We recorded plant-pollinator interactions within remnants in a biodiversity hotspot in southwest Western Australia to determine the plant species visited by each bee species and assessed bee body size. We estimated floral resource energy (nectar and pollen calories) available to bees at the landscape-level (in remnant woodland patches and their surrounding mosaic landscape matrix) by directly measuring both nectar and pollen resources from flowers of partner plant species. Detailed descriptions of the methodology used in this study can be found in the article and in Appendix S1 in Supplementary Information.
Usage notes
Data files are Excel .csv files, analyses code were written in R language.