(A bit) Earlier or later is always better: Phenological shifts in consumer–resource interactions

Revilla, Tomás A.; Encinas‐Viso, Francisco; Loreau, Michel

doi:10.1007/s12080-013-0207-3

Cited by 27 publications

(30 citation statements)

References 47 publications

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“…Very recent evidence (Cohen et al 2018) found the peak abundance of some species tracked temperature more closely than other measures of phenology. Direct species interactions are also obviously important so we also need to refine predictions on how consumer diversity should respond to resource diversity and vice versa in seasonal environments (Revilla et al 2014). We currently do not have the data to support a prediction such as the peak in species diversity is likely to occur earlier for animals found to be strongly responding to temperature change, i.e., terrestrial micro-and intermediate body-sized ectotherms in temperate and polar regions.…”

Section: Concepts and Synthesismentioning

confidence: 99%

“…However, phenology has long been a focus, with increased efforts recently on how phenologies of species are responding to global change (Cohen et al 2018, Kharouba et al 2018. Theoretical research in phenology has largely focused on one or perhaps two interacting species at a time (Revilla et al 2014; but see Encinas-Viso et al 2012, Revilla et al 2015 without explicit links to ecosystem functioning, which, may be impacted if species diversity changes due to the phenology of the entire community (Loreau 2010).…”

Section: Introductionmentioning

confidence: 99%

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Seasonal patterns in species diversity across biomes

Mellard

Audoye

Loreau

2019

Ecology

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Citation: Mellard, J. P., P. Audoye, and M. Loreau. 2019. Seasonal patterns in species diversity across biomes. Ecology 100(4):Abstract. A conspicuous season-diversity relationship (SDR) can be seen in seasonal environments, often with a defined peak in active species diversity in the growing season. We ask is this a general pattern and are other patterns possible? In addition, we ask what is the ultimate cause of this pattern and can we understand it using existing ecological theory? To accomplish this task, we assembled a global database on changes in species diversity through time in seasonal environments for different taxa and habitats and also conducted a modeling study in an attempt to replicate observed patterns. Our global database includes terrestrial and aquatic habitats, temperate, tropical, and polar environments, and taxa from disparate groups including vertebrates, insects, and plankton. We constructed nine alternative models that vary in assumptions on type of seasonal forcing, responses to that forcing, species niches, and types of species interactions. We found that most guilds of species exhibit a repeatable SDR across years. For north temperate ecosystems, active species diversity generally peaks mid-year. The peak for a guild is generally more pronounced in terrestrial habitats than aquatic habitats and more pronounced in temperate and polar regions than the tropics. We now have evidence that at least several different habitat and taxa types are likely to have multiple peaks in diversity in a year, for example, guilds of both aquatic microbes and desert vertebrates can show a bimodal or multimodal SDR. We compared all nine candidate models in their ability to explain the patterns and match their assumptions to the data. Some performed considerably better than others in being able to match the different patterns. We conclude that a model that includes both temperature niches and environmental feedbacks is necessary to explain the different SDRs. We use such a model to make predictions about how the SDR could be impacted by climate change. More effort should be put into documenting and understanding baseline seasonal patterns in diversity in order to predict future responses to global change.

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Section: Concepts and Synthesismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Seasonal patterns in species diversity across biomes

Mellard

Audoye

Loreau

2019

Ecology

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“…This model does not address the potential influence of biotic interactions on the expression of phenology (Elzinga et al 2007;Revilla et al 2014), and this offers a rich area for future development. However, as suggested by Wolkovich et al (2013), plants often use abiotic cues to synchronize or avoid interactions with others, so modeling effects of abiotic factors could provide information on their corresponding consequences for biotic interactions (Brachi et al 2012).…”

Section: Future Directionsmentioning

confidence: 99%

Modeling the Influence of Genetic and Environmental Variation on the Expression of Plant Life Cycles across Landscapes

Burghardt

Metcalf

Wilczek

et al. 2015

The American Naturalist

105

165

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Organisms develop through multiple life stages that differ in environmental tolerances. The seasonal timing, or phenology, of life-stage transitions determines the environmental conditions to which each life stage is exposed and the length of time required to complete a generation. Both environmental and genetic factors contribute to phenological variation, yet predicting their combined effect on life cycles across a geographic range remains a challenge. We linked submodels of the plasticity of individual life stages to create an integrated model that predicts life-cycle phenology in complex environments. We parameterized the model for Arabidopsis thaliana and simulated life cycles in four locations. We compared multiple "genotypes" by varying two parameters associated with natural genetic variation in phenology: seed dormancy and floral repression. The model predicted variation in life cycles across locations that qualitatively matches observed natural phenology. Seed dormancy had larger effects on life-cycle length than floral repression, and results suggest that a genetic cline in dormancy maintains a life-cycle length of 1 year across the geographic range of this species. By integrating across life stages, this approach demonstrates how genetic variation in one transition can influence subsequent transitions and the geographic distribution of life cycles more generally.

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“…The effect of a match or mismatch between a species and its food source can permeate through several trophic levels in a system (Both et al 2009;Nakazawa and Doi 2012;Revilla et al 2014). Interactions between different species may change due to climatic changes.…”

Section: Discussionmentioning

confidence: 99%

Approximation of a physiologically structured population model with seasonal reproduction by a stage-structured biomass model

Soudijn

Roos

2016

Theor Ecol

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Seasonal reproduction causes, due to the periodic inflow of young small individuals in the population, seasonal fluctuations in population size distributions. Seasonal reproduction furthermore implies that the energetic body condition of reproducing individuals varies over time. Through these mechanisms, seasonal reproduction likely affects population and community dynamics. While seasonal reproduction is often incorporated in population models using discrete time equations, these are not suitable for size-structured populations in which individuals grow continuously between reproductive events. Size-structured population models that consider seasonal reproduction, an explicit growing season and individual-level energetic processes exist in the form of physiologically structured population models. However, modeling large species ensembles with these models is virtually impossible. In this study, we therefore develop a simpler model framework by approximating a cohort-based size-structured population model with seasonal reproduction to a stage-structured biomass model of four ODEs. The model translates individual-level assumptions about food ingestion, bioenergetics, growth, investment in reproduction, storage of reproductive energy, and seasonal reproduction in stage-based processes at the population level. Numerical analysis of the two models shows similar values for the average biomass of juveniles, adults, and resource unless large-amplitude cycles with a single cohort dominating the population occur.

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(A bit) Earlier or later is always better: Phenological shifts in consumer–resource interactions

Cited by 27 publications

References 47 publications

Seasonal patterns in species diversity across biomes

Seasonal patterns in species diversity across biomes

Modeling the Influence of Genetic and Environmental Variation on the Expression of Plant Life Cycles across Landscapes

Approximation of a physiologically structured population model with seasonal reproduction by a stage-structured biomass model

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