Data from: Drought resistance drives population temporal stability of annuals in drylands
Data files
Jan 14, 2026 version files 27.54 KB
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README.md
2.27 KB
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traits_stability.csv
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Abstract
Understanding the mechanisms determining population temporal stability is key to explaining species diversity and coexistence, and to maintaining multiple ecosystem functions over time. Functional traits should offer mechanistic insights into the drivers of stability, but the generalization of a trait–stability relationship is lacking. Our overarching hypothesis is that traits predicted by bet-hedging theory to reduce variability in population size, i.e., delayed germination and/or bigger seeds and/or traits associated with higher drought resistance (high intrinsic water-use efficiency, high turgor loss point, slow relative growth rate, high leaf dry matter content, low SLA), lead to higher population temporal stability. We linked these traits to the year-to-year variation in winter annuals’ abundance of 178 populations (66 species) over 13 years. We tested the generality of these relationships in a biodiversity hotspot along a gradient of rainfall mean, variability, and unpredictability, defining three climates (Mediterranean, semi-arid, arid), considering also the spatial micro-heterogeneity defined by perennial shrubs. Away from shrubs, higher drought resistance was consistently associated with higher population stability in all climates. Under the shrubs, however, this relationship disappeared or was reversed. Delayed germination predicted higher stability in the arid open habitat only. Our results unveiled diverse drought resistance strategies within annuals in drylands, and elucidated their influence on population temporal stability. Our results challenge the long-standing assumption that delayed germination is the most important bet-hedging trait for annuals in drylands. Finally, we highlight the crucial need of including local microhabitat conditions in the assessment of population stability. Synthesis: The detection of drought resistance as a key driver of population temporal stability represents a significant advancement in evolutionary theory, trait-based ecology, and our understanding of community stability.
Dataset DOI: 10.5061/dryad.jm63xsjqx
Description of the data and file structure
This dataset includes species‑level functional trait measurements (relative growth rate, RGR; leaf carbon isotopic ratio, δ¹³C; osmotic potential at turgor loss point, TLP; specific leaf area, SLA; leaf dry matter content, LDMC; germination fraction; and seed size) of winter annual species, calculated as averages across five individuals per species measured in 2022. It also includes interannual variability in species population size, expressed as the coefficient of variation (CV) of individual counts from winter growing seasons between 2001/2002 and 2014/2015 in permanent plots, with CV values averaged across five plots per microhabitat in each climate. Data were collected across four climate types (arid, semi‑arid, Mediterranean, and mesic‑Mediterranean) and two microhabitats (open areas and under shrubs), in Israel.
Files and variables
File: traits_stability.csv
Description: Drought resistance traits (SLA, LDMC, RGR, CarbonRatio, TLP) were measured on five individuals per species, and seed traits (Germination, Seedmass) were measured on 10 seeds per individual. Missing values in the dataset are indicated as NA.
Variables
- Species: species name (genus_species)
- Site: climate type (A: arid, SA: semi-arid, M: Mediterranean)
- Microhabitat: microhabitat type (O: open area, S: under shrubs)
- CV: coefficient of variation in population size across the 13 years (CV = standard deviation of individual counts/mean of individual counts)
- SLA: Specific Leaf Area (cm2.g−1)
- LDMC: Leaf Dry Matter Content (g.g−1)
- RGR: Relative Growth Rate (day-1)
- CarbonRatio: leaf carbon isotopic ratio (‰). It is the integrated long-term measure of the ratio of 13C over 12C.
- TLP: osmotic potential at turgor loss point (MPa). It is the measure of the capability of plants to maintain cell turgor under water stress.
- Germination: germination fraction (proportion, 0–1).
- Seedmass: seed size (g)
Code/software
All the analyses were performed using the R software version 4.2.2.
