Data from: β-diversity of herbaceous versus woody plant communities across a tropical rainfall gradient
Data files
Mar 12, 2025 version files 25.74 KB
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Environmental_Variables.csv
1.16 KB
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Geographical_Coordinates.csv
344 B
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Herbaceous_Plants_in_all_plots.csv
15.74 KB
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README.md
1.38 KB
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Tree_Species_in_all_plots.csv
7.12 KB
Abstract
Aim: Most of our current knowledge of tropical forest plant communities is based on trees, despite the substantial contribution of other life forms to plant diversity in these systems. In particular, studies of understory herbaceous plants are limited. With their lower dispersal abilities, higher rates of evolution, and lower drought tolerance than trees, herbs are expected to exhibit different patterns of species composition across space. The aim of the study is to compare the patterns and drivers of variation in species composition (i.e., β-diversity) of trees and understory herbaceous plants.
Location: Mudumalai, Western Ghats, India.
Time period: 2018 - 2019.
Major taxa studied: Angiosperms.
Methods: We surveyed tree and understory herb communities in 13 one-ha plots along a strong rainfall gradient in a seasonally dry forest landscape in the Western Ghats, India. In both groups, we estimated among-plot β-diversity, which we decomposed into two components: turnover and nestedness. Then we partitioned the relative influences of spatial and environmental predictors, including rainfall, temperature, soil, and fire frequency, on β-diversity.
Results: Contrary to our expectations, β-diversity was remarkably similar for herbs and trees, and both groups exhibited high turnover along the gradient. Rainfall and temperature explained the most variation in composition within both groups, while fire and soil explained less variation, and their effects differed between groups.
Main Conclusions: While trees and herbs show contrasting patterns of α-diversity across this rainfall gradient, our study suggests that both life forms are impacted strongly by environmental filtering, predominantly rainfall and temperature, resulting in similar patterns of β-diversity. The high turnover observed in tree and herb communities, and the influence of rainfall and temperature in structuring these communities, should be considered when designing conservation and restoration strategies in the face of ongoing global changes and other anthropogenic pressures on tropical forests.
https://doi.org/10.5061/dryad.95x69p8s6
Description of the data and file structure
The dataset was collected by conducting fieldwork in the forests of Mudumalai during 2018-19. It was processed using R.
There are four data files (all in csv)
- Herbaceous Plants in all plots.csv: Here, the species data of all herbaceous angiosperms in 13 one-ha plots in Mudumalai forests, India, have been provided. The rows are plot names, columns are species names. This is presence-absence data (1 means presence, 0 means absent).
- Tree Species in all plots.csv: Here, the species data of all tree species in 13 one-ha plots in Mudumalai forests, India, have been provided. The rows are plot names, columns are species names. This is presence-absence data.
- Environmental Variables.csv: In this four set of environmental variables in 13 one-ha plots in Mudumalai are provided. These are MAP (Mean annual precipitation in millimeters); Fire_Fr (Fire Frequency as fire incidents/year); Ann_ST (Annual Surface Temperature in degree Celcius); and Soil.PCA (PCA axes of soil variables mentioned in the main manuscript).
- Geographical Coordinates.csv: These provide the latitude and longitude of the 13 one-ha plots in Mudumalai.
