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.2022 Jul;103(7):e3698.
doi: 10.1002/ecy.3698. Epub 2022 Apr 27.

Geographic variation in offspring size: Long- and short-term climate affect mean seed mass of Streptanthus populations

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Geographic variation in offspring size: Long- and short-term climate affect mean seed mass of Streptanthus populations

Natalie L R Love et al. Ecology.2022 Jul.

Abstract

Offspring size is a key functional trait that can affect subsequent life history stages; in many species, it exhibits both local adaptation and phenotypic plasticity. Variation among populations in offspring size may be explained by various factors, including local climatic conditions. However, geographic variation in climate may be partitioned into long-term and interannual sources of variation, which may differ in their effects on population mean offspring size. To assess environmental correlates of offspring size, we evaluated geographic variation in seed mass among 88 populations representing 6 species of Streptanthus (Brassicaceae) distributed across a broad climatic gradient in California. We examined the effects of temperature-mediated growing season length and precipitation on population mean seed mass to determine whether it is best explained by (1) long-term mean climatic conditions; (2) interannual climate anomalies (i.e., deviations in climate from long-term means) during the year of seed development, or (3) interactions between climate variables. Both long-term mean climate and climate anomalies in the year of collection were associated with population mean seed mass, but their effects differed in direction and magnitude. Relatively large seeds were produced at chronically wet sites but also during drier-than-average years. This contrast indicates that these associations may be generated by different mechanisms (i.e., adaptive evolution vs. phenotypic plasticity) and may be evidence of countergradient plasticity in seed mass. In addition, populations occurring in locations characterized by relatively long growing seasons produced comparatively large seeds, particularly among chronically dry sites. This study highlights the need to consider that the responses of seed mass to long-term versus recent climatic conditions may differ and that climate variables may interact to predict seed mass. Such considerations are especially important when using these patterns to forecast the long- and short-term responses of seed mass to climate change. The results presented here also contribute to our broader understanding of how climate drives long-term (e.g., local adaptation) and short-term (e.g., phenotypic plasticity) variation in functional traits, such as offspring size across landscapes.

Keywords: California; Streptanthus; climate anomalies; climate change; countergradient plasticity; functional trait; geographic variation; life history; local adaptation; offspring size; phenotypic plasticity.

© 2022 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

FIGURE 1
FIGURE 1
Locations of seed collection sites in California. Each point represents a population (n = 88)
FIGURE 2
FIGURE 2
Bivariate plot derived from Climate Model 2 showing effect of winter, spring, and summer (WSS) precipitation (PPT) anomalies on population mean individual seed mass independent of other main effects (species identity, long‐term mean cumulative WSS PPT, long‐term mean cumulative WSS growing degree‐days (GDD) >5°C, and WSS GDD anomalies)
FIGURE 3
FIGURE 3
Partial effect plot derived from Climate Model 2 demonstrating interaction between long‐term mean winter, spring, summer (WSS) growing degree‐days (GDD) >5°C and long‐term mean WSS precipitation (PPT). The relationship between population mean individual seed mass (MISM) and cumulative WSS PPT is displayed for each of three growing season lengths (mean GDD and GDD ± 1 SD). Each line shows the expected value of population MISM as a function of long‐term mean cumulative WSS PPT for a given growing season length. The red dashed line indicates a nonsignificant relationship between the two variables among sites with relatively long growing seasons
FIGURE 4
FIGURE 4
Results of Johnson–Neyman interval analysis derived from Climate Model 2, illustrating (a) effects of WSS PPT (moderator) on estimated slope of relationship between long‐term mean winter, spring, summer (WSS) growing degree‐days (GDD) and population mean seed mass and (b) effects of WSS GDD on estimated slope of relationship between WSS PPT and population mean seed mass. The Johnson–Neyman intervals display how the estimated slope for a given predictor variable (y‐axis) depends on the values of the moderator (x‐axis). The intervals of thex‐variable within which the slope estimates differ significantly from zero (p < 0.05) are shown in blue; the intervals within which the slope estimates do not differ significantly from zero are shown in red. The thick portion of the horizontal black line atx = 0 indicates the range of observedx‐values
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References

    1. Allen, J. A. 1877. The Influence of Physical Conditions in the Genesis of Species. Radical Review 1: 108–40.
    1. Anderson, J. T. , Inouye D. W., McKinney A. M., Colautti R. I., and Mitchell‐Olds T.. 2012. “Phenotypic Plasticity and Adaptive Evolution Contribute to Advancing Flowering Phenology in Response to Climate Change.” Proceedings of the Royal Society B: Biological Sciences 279(1743): 3843–52. 10.1098/rspb.2012.1051. - DOI - PMC - PubMed
    1. Azcárate, F. M. , Manzano P., and Peco B.. 2010. “Testing Seed‐Size Predictions in Mediterranean Annual Grasslands.” Seed Science Research 20(3): 179–88. 10.1017/S0960258510000176. - DOI
    1. Baker, H. G. 1972. “Seed Weight in Relation to Environmental Conditions in California.” Ecology 53(6): 997–1010. 10.2307/1935413. - DOI
    1. Baldwin, B. G. , Goldman D. H., Keil D. J., Patterson R., Rosatti T. J., and Wilken D. H.. 2012. The Jepson Manual, 2nd ed. Berkeley, CA: University of California Press.

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