Plant functional traits from an early successional grassland community at KBS LTER
Data files
Apr 03, 2026 version files 32.63 KB
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KBS_LTER_T7_plant_traits.xlsx
30.18 KB
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README.md
2.45 KB
Abstract
Identifying the factors mediating the resilience and invariability of plant communities and their associated ecosystem functions is critical to understand the ecological impacts of climate change. Prior work has explored how classic “community properties” (characterizing a community by species composition) regulate the resilience and invariability of ecosystem functioning. Mechanistically, community properties influence resilience and invariability via species’ traits, and as a result, “functional properties” (characterizing a community via functional traits) might better predict these qualities. For example, functional traits associated with conservative resource-use strategies (e.g., short stature, low specific leaf area (SLA), high leaf dry matter content (LDMC)) are expected to promote both resistance to periods of stress or resource limitation and long-term invariability. While there is a strong conceptual basis linking functional traits and functional diversity to resilience and invariability, empirical evidence is thus far mixed, and sourcing accurate functional trait data may be challenging. Therefore, it is important to know if community properties are sufficient for evaluating the resilience and invariability of ecosystem functioning, or if functional properties provide necessary insights. Capitalizing on a decades-long study, we tested the effects of plant functional and community properties on the resistance of ecosystem functioning (a component of resilience) to drought or long-term invariability. Including functional properties did not improve our ability to explain primary productivity resistance to droughts but considerably improved our explanatory power for productivity invariability. Our results supported expectations that conservative trait strategies promote ecosystem functioning resistance to perturbations and temporal invariability. These findings highlight that the utility of functional properties in explaining the resilience and invariability of ecosystem functioning may depend on the attribute under consideration and that functional properties may primarily be useful for identifying the traits promoting resilience and invariability.
Dataset DOI: 10.5061/dryad.47d7wm3vk
Description of the data and file structure
In July 2024, we sampled functional traits of 31 plant species in the KBS LTER Main Cropping System Experiment (MCSE) early successional (T7) plots in Hickory Corners, MI, USA. Traits were measured from a minimum of 3 randomly selected individuals per species, and if possible, we sampled one individual per species per T7 replicate to account for spatial environmental variation (i.e., n = 3–6 individuals/species). For each plant, we measured height (cm) as the distance from ground to top of foliage, excluding reproductive structures, and we collected leaf samples for specific leaf area (SLA; cm2 g-1) and leaf dry matter content (LDMC) (following Pérez-Harguindeguy et al. 2016). To minimize dehydration, collected leaves were sealed in plastic bags with damp paper towels, and stored in a cooler until processing within 1–2 hrs. Fresh leaf samples with petioles removed were then scanned on a LI-3000A leaf area meter (LI-COR Biosciences, Lincoln, NE), weighed, oven-dried at 60 °C to constant mass, and then reweighed.
Files and variables
File: KBS_LTER_T7_plant_traits.xlsx
Description:
Variables
- Treatment: Treatment in KBS LTER Main Cropping System Experiment (MCSE)
- Rep: Treatment replicate (R1-R6)
- Species: Species name
- Latin: Species' full Latin name
- Height: plant height (cm) from ground to top of foliage, excluding reproductive structures
- Leaf_area_1: leaf area (cm2), first measurement
- Leaf_area_2: leaf area (cm2), second measurement
- Mass_fresh: leaf fresh mass (g)
- Mass_dried: leaf oven-dried (60 °C to constant mass) mass (g)
- SLA: specific leaf area (cm2 g-1); calculated as average leaf area (i.e., mean of Leaf_area_1 and Leaf_area_2) divided by leaf dried mass
- LDMC: leaf dry matter content (g / g); calculated as leaf dried mass divided by leaf fresh mass
Code/software
We used R Studio Version 2024.12.0+467 and R version 4.4.2 (2024-10-31). We used the fundiversity package to calculate functional richness (fd_fric) and functional evenness (fd_feve) from these plant functional trait data.
Access information
Other publicly accessible locations of the data:
- NA
Data was derived from the following sources:
- NA
In July 2024, we sampled functional traits of 31 plant species in the KBS LTER Main Cropping System Experiment (MCSE) early successional (T7) plots in Hickory Corners, MI, USA. Traits were measured from a minimum of 3 randomly selected individuals per species, and if possible, we sampled one individual per species per T7 replicate to account for spatial environmental variation (i.e., n = 3–6 individuals/species). For each plant, we measured height (cm) as the distance from ground to top of foliage, excluding reproductive structures, and we collected leaf samples for specific leaf area (SLA; cm2 g-1) and leaf dry matter content (LDMC) (following Pérez-Harguindeguy et al. 2016). To minimize dehydration, collected leaves were sealed in plastic bags with damp paper towels, and stored in a cooler until processing within 1–2 hrs. Fresh leaf samples with petioles removed were then scanned on a LI-3000A leaf area meter (LI-COR Biosciences, Lincoln, NE), weighed, oven-dried at 60 °C to constant mass, and then reweighed.
