ArticleEcology letters2018
Transient LTRE analysis reveals the demographic and trait-mediated processes that buffer population growth.
Article in Ecology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Disentangling the contributions of density dependence and independence to population growth rates.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Linking Climate and Demography to Predict Population Dynamics and Persistence Under Global Change.Ecology letters · 2025Review
- Article
- Consequences of cross-season demographic correlations for population viability.Ecology and evolution · 2023Article
- Article
- Decrease in social cohesion in a colonial seabird under a perturbation regime.Scientific reports · 2020Article
- Cumulative weather effects can impact across the whole life cycle.Global change biology · 2019Article
Corrections and comments
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Authors and funding
4 authors.
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Abstract
Temporal variation in environmental conditions affects population growth directly via its impact on vital rates, and indirectly through induced variation in demographic structure and phenotypic trait distributions. We currently know very little about how these processes jointly mediate population responses to their environment. To address this gap, we develop a general transient life table response experiment (LTRE) which partitions the contributions to population growth arising from variation in (1) survival and reproduction, (2) demographic structure, (3) trait values and (4) climatic drivers. We apply the LTRE to a population of yellow-bellied marmots (Marmota flaviventer) to demonstrate the impact of demographic and trait-mediated processes. Our analysis provides a new perspective on demographic buffering, which may be a more subtle phenomena than is currently assumed. The new LTRE framework presents opportunities to improve our understanding of how trait variation influences population dynamics and adaptation in stochastic environments.
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