Optimal allocation in annual plants with density-dependent fitness

Koshkin, Sergiy; Zalles, Zachary; Tobin, Michael F.; Toumbacaris, Nicolas; Spiess, Cameron

doi:10.1007/s12064-021-00343-9

Cited by 2 publications

(2 citation statements)

References 41 publications

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“…We also note that this behavior is consistent with recent predictions in the literature (see e.g. Koshkin et al 2021).…”

Section: Discussionsupporting

confidence: 93%

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Resource Allocation in Annual Plants

McMorris

Ledder

2021

Preprint

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The fitness of an annual plant can be thought of as how much fruit is produced by the end of its growing season. Under the assumption that annual plants grow to maximize fitness, we can use techniques from optimal control theory to understand this process. We introduce a model for resource allocation in annual plants which extends classical work by Iwasa and Roughgarden to a case where both carbohydrates and mineral nutrients are allocated to shoots, roots, and fruits in annual plants. We use optimal control theory to determine the optimal resource allocation strategy for the plant throughout its growing season as well as develop a numerical scheme to implement the model in MATLAB. Our results suggest that what is optimal for an individual plant is highly dependent on initial conditions, and optimal growth has the effect of driving a wide range of initial conditions toward common configurations of biomass by the end of a growing season.

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“…We also note that this behavior is consistent with recent predictions in the literature (see e.g. Koshkin et al 2021).…”

Section: Discussionsupporting

confidence: 93%

“…The copyright holder for this preprint (which this version posted April 21, 2021. ; https://doi.org/10. 1101/2021 The necessary conditions for optimality are as follows:…”

Section: Necessary Conditionsmentioning

confidence: 99%

Resource Allocation in Annual Plants

McMorris

Ledder

2021

Preprint

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Temporal variability and predictability predict alpine plant community composition and distribution patterns

Reed,

Westmoreland,

Suding

et al. 2024

Ecology

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One of the most reliable features of natural systems is that they change through time. Theory predicts that temporally fluctuating conditions shape community composition, species distribution patterns, and life history variation, yet features of temporal variability are rarely incorporated into studies of species–environment associations. In this study, we evaluated how two components of temporal environmental variation—variability and predictability—impact plant community composition and species distribution patterns in the alpine tundra of the Southern Rocky Mountains in Colorado (USA). Using the Sensor Network Array at the Niwot Ridge Long‐Term Ecological Research site, we used in situ, high‐resolution temporal measurements of soil moisture and temperature from 13 locations (“nodes”) distributed throughout an alpine catchment to characterize the annual mean, variability, and predictability in these variables in each of four consecutive years. We combined these data with annual vegetation surveys at each node to evaluate whether variability over short (within‐day) and seasonal (2‐ to 4‐month) timescales could predict patterns in plant community composition, species distributions, and species abundances better than models that considered average annual conditions alone. We found that metrics for variability and predictability in soil moisture and soil temperature, at both daily and seasonal timescales, improved our ability to explain spatial variation in alpine plant community composition. Daily variability in soil moisture and temperature, along with seasonal predictability in soil moisture, was particularly important in predicting community composition and species occurrences. These results indicate that the magnitude and patterns of fluctuations in soil moisture and temperature are important predictors of community composition and plant distribution patterns in alpine plant communities. More broadly, these results highlight that components of temporal change provide important niche axes that can partition species with different growth and life history strategies along environmental gradients in heterogeneous landscapes.

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Optimal allocation in annual plants with density-dependent fitness

Cited by 2 publications

References 41 publications

Resource Allocation in Annual Plants

Resource Allocation in Annual Plants

Temporal variability and predictability predict alpine plant community composition and distribution patterns

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