Scale-dependent variation in leaf functional traits clarifies mechanisms of invasion
Data files
Mar 05, 2025 version files 183.68 KB
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DRYAD_dataframe.xlsx
178.76 KB
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README.md
4.92 KB
Abstract
Comparing the functional traits of co-occurring native and invasive plant species can offer insight regarding mechanisms of invasion. Previous studies have failed to reach a consensus, indicating that the extent of trait differences between native and invasives might depend on the environmental context and on the spatial grain of the analysis. Here we evaluate the scale-dependency of native-invader trait comparisons within the Hawaiian Archipelago, a globally important region of high endemicity and high invasibility. We evaluated trait (e.g. gas exchange, leaf nutrient concentration, specific leaf area) differences locally and regionally (i.e. within and across islands) and found that while invasives are more resource acquisitive at the regional scale, native-invader differences are highly idiosyncratic at localized scales, varying both in direction and magnitude within islands. Our findings clarify how region-wide species comparisons may fail to characterize interactions happening at local scales, thereby misleading or obscuring the mechanisms underlying invasion.
https://doi.org/10.5061/dryad.q83bk3jtj
Description of the data and file structure
Plant functional trait data were collected on native Hawaiian species and co-occurring non-native invasives between 2016 and 2017. 87 species were measured across 21 sites that spanned four Hawaiian Islands. The dataset includes primarily woody species sampled on intact evergreen forest. We measured 11 plant traits, including morphological and physiological traits, on individual plants. The dataset also includes soil and climate data extracted from previous datasets using the spatial coordinates of individual plants. All the plant traits and environmental variables were log10 transformed, with the exception of soil pH.
Files and variables
File: DRYAD_dataframe.xlsx
Description: This file contains all 11 functional traits measured at the level of individual plants from 87 native and invasive species in Hawaii. It also contains six environmental variables, which were extracted from previously published gridded datasets using the spatial coordinates of the individual plants in the dataset. The variables have been log10 transformed with the exception of soil pH. Missing values or values that were excluded because they were deemed statistical outliers (or unreasonably high/low) were set to "NA".
Variables
| Variable | Description |
|---|---|
| Species | Genus and species |
| Location | Site name |
| Island | One of four major Hawaiian Islands |
| Nativity | Species origin (native or invasive) |
| Photo | Photosynthesis, units are micromol CO2 m-2 s-1 |
| Conductance | Stomatal conductance to water vapor, units are mol m2 s-1 |
| Transpiration | Transpiration rate, units are mmol H2O m-2 s-1 |
| WUE | Water use efficiency, Photosynthesis/Transpiration, micromol CO2 mmol^-1 H2O |
| SLA | Specific leaf area, units are cm2 g-1 |
| PerN | Percent leaf nitrogen, units are % |
| PerP | Percent leaf phosphorus, units are % |
| MEANSPAD | Mean SPAD reading (an index of chlorophyll concentration), unitless. SPAD readings were done on three leaves per individual and averaged. |
| LeafCNRatio | Leaf Carbon:Nitrogen Ratio, unitless |
| Leaf_area | Total leaf area of single leaf per individual, units are cm^2 |
| LeafThickness | Leaf thickness of one leaf per individual, units are mm |
| Rainfall_meanannual | Mean annual precipitation (primarily rainfall), mm |
| Tair_meanannual | Mean annual air temperature, °C |
| SoilpH | Soil pH, unitless |
Access information
Other publicly accessible locations of the data:
- NA
Data was derived from the following sources:
- Data were collected de novo
Morphological and physiological traits were measured on individual plants of native Hawaiian species and non-native invasive species across a range of sites in Hawaii. The dataset includes 21 sites across four of the Hawaiian Islands, with a total of 87 species. We removed obvious outliers or unreasonable values, including negative photosynthesis, transpiratoin, or stomatal conductance, and extreme values of specific leaf area (SLA). Leaf chlorophyll content was measured on three leaves per individual and averaged together to produce one value per individual. The remaining traits were measured on one leaf per individual. Individual replicates were averaged to site level and island level for statistical analyses in our manuscript. All variables were then log10 transformed, with the exception of soil pH, because it is already on a logarithmic scale. The final dataset includes the logscaled data rather than the raw data.
