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Journal ArticleDOI

How sensitive are elasticities of long-run stochastic growth to how environmental variability is modelled?

Thomas H. G. Ezard, +1 more
- 24 Jan 2010 - 
- Vol. 221, Iss: 2, pp 191-200
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TLDR
This paper investigated the consequences of changing the environmental state definition, and therefore altering the shape of demographic rate distributions and their temporal sequence, by using age-structured matrix models to project vertebrate populations into the future under a range of environmental scenarios.
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This article is published in Ecological Modelling.The article was published on 2010-01-24. It has received 8 citations till now. The article focuses on the topics: Population.

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Interactive life-history traits predict sensitivity of plants and animals to temporal autocorrelation.

TL;DR: Cross-taxonomic evidence is provided that changes in the autocorrelation of environmental variation may affect a wide range of species, depending on complex interactions of life-history strategies.
Journal ArticleDOI

Ecosystem health assessment based on analysis of a land use database

TL;DR: In this article, a land use database together with the pressure-state-response (PSR) model in EHA provides better precision relative to traditional data resources and assessment frameworks for EHA at the county scale.
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Non-timber forest product harvest in variable environments: Modeling the effect of harvesting as a stochastic sequence

TL;DR: The results suggest that modeling the temporal variability of harvest intensity as a Markov chain better mimics local practices and provides insights that are missed when temporal variability in harvest intensity is modeled as independent over time and drawn from a fixed distribution.
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Are Changes in the Mean or Variability of Climate Signals More Important for Long-Term Stochastic Growth Rate?

TL;DR: A simple population model is developed to compare the sensitivities of a population's long-term stochastic growth rate, a measure of fitness, to changes in the mean and standard deviation of the environment, and shows that changes inThe variability of the Environment can be more important for many populations.
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Color and degree of interspecific synchrony of environmental noise affect the variability of complex ecological networks

TL;DR: A stochastic ecological network simulation model that combines predator–prey interactions with mutualism, parasitism and basal species competition is described, based on a generalized niche model, while temporal dynamics are specified using bioenergetic models with noise terms.
References
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Journal ArticleDOI

Decadal Trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation

TL;DR: An evaluation of the atmospheric moisture budget reveals coherent large-scale changes since 1980 that are linked to recent dry conditions over southern Europe and the Mediterranean, whereas northern Europe and parts of Scandinavia have generally experienced wetter than normal conditions.
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Modern Applied Statistics with S-Plus.

W. N. Venables, +1 more
- 01 Dec 1996 - 
Book

Matrix population models : construction, analysis, and interpretation

Hal Caswell
TL;DR: In this article, the age-classified matrix model was used to analyze the life-cycle graph sensitivity analysis and evolutionary demography statistical inference time-varying and stochastic models.
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Ecological effects of climate fluctuations.

TL;DR: This work reviews how two of the best-known climate phenomena—the North Atlantic Oscillation and the El Niño–Southern O oscillation—affect ecological patterns and processes in both marine and terrestrial systems.
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