Data from: Does nutrient scarcity lead to greater variability in seed production? The case of the California valley oak Quercus lobata
Data files
Nov 13, 2025 version files 48.71 KB
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nutrient_data_for_submission.xls
47.10 KB
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README.md
1.61 KB
Abstract
Based on an interspecific comparison, Fernández-Martinez et al. found that masting is stronger in populations growing under conditions of nutrient scarcity, a relationship potentially providing a mechanistic link to resource-budget models of mast fruiting. Using comparisons among individual Quercus lobata, a common California masting oak species, we tested whether access to ground water, foliar nitrogen (N), and foliar phosphorus (P) correlate with greater inter-annual acorn crop variability, increased synchrony of acorn production with other trees in the population, and more negative lag-1 autocorrelations with acorn production the prior year—metrics indicative of masting-like behavior. Our analyses failed to support the nutrient scarcity hypothesis. Three of the significant correlations between masting metrics and resources were in the opposite direction predicted by the hypothesis—trees with greater foliar N showed greater variability and synchrony in acorn production—while the other two (more water-stressed trees exhibited larger coefficients of variation [CV] in interannual acorn production) were apparently due to the inverse relationship between CV and mean overall productivity. More studies at different geographic and taxonomic scales and of other potentially important nutrients are needed to understand the relationship between masting and resources.
Dataset DOI: 10.5061/dryad.7wm37pw6p
Description of the data and file structure
Data testing the nutrient scarcity hypothesis of Fernandez-Martinez (Nature Plants 5: 1222-1228 (2019) within a population of valley oak (Quercus lobata) in California.
Files and variables
File: nutrient_data_for_submission.xls
Description: Data
Variables
- Tree ID: unique ID for the tree
- N years N years of data for each tree (45)
- xLN30Mean overall tree productivity based on the annual 30 s visual surveys (ln-transformed)
- lnCV: Coefficient of variation (using the ln-transformed data)
- Kvalseth: Alternative form of the coefficient of variation (Kvalseth’s CV), also ln-transformed
- Prop variability: Proportional variability (PV); quantifies how variable productivity is relative to its mean.
- Volatility: Measure of fluctuations in productivity
- Pairwise synchrony Mean r with all other individuals in the population
- AR1: Lag-1 autocorrelation; shows how much a tree’s productivity in one year is correlated with its productivity in the previous year.
- XWP Predawn xylem water potential (in MPa)
- foliar N: Leaf nitrogen concentration Total N (%)
- foliar P: Leaf phosphorus concentration. (Total P (%)
- N:P ratio Ratio of foliar N:foliar P
Access information
Other publicly accessible locations of the data:
- None
Data was derived from the following sources:
- None
