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Vindenes, Yngvild; Le Coeur, Christie & Caswell, Hal
(2021).
Introduction to Matrix Population Models.
In Roberto, Salguero-Gomez & Marlène, Gamelon (Ed.),
Demographic methods across the tree of life.
Oxford University Press.
ISSN 978-0-19-883860-9.
p. 163–180.
doi:
10.1093/oso/9780198838609.003.0009.
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Vindenes, Yngvild
(2019).
Effects of climate change in size-structured populations
.
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Vindenes, Yngvild
(2019).
Using demographic approaches to understand ecological and evolutionary responses to a warmer and more variable world.
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Vindenes, Yngvild; Broch, Catharina & Heuschele, Jan David
(2018).
Når oppveksten styres av temperatur - bidrag til Forskningstorget 2018.
Show summary
For de aller fleste dyr på jorda, er lengden på barndommen ikke et spørsmål om alder alene, men om hvor kaldt eller varmt miljøet i oppveksten har vært.
For 99% av alle dyr på jorda er det temperaturen som bestemmer hvor raskt livsklokken tikker. Blant disse dyrene finner vi dafnier (vannlopper) som lever i små og store dammer der temperaturen kan skifte raskt og mye. Kom til vår bod og regn ut din egen dafnie-alder, hils på kalde og varme dafnier, og lær mer om hvordan temperatur påvirker lengden på barndommen og levealderen til disse dyrene.
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Vindenes, Yngvild & Engen, Steinar
(2018).
A simple formula for the complex effects of individual heterogeneity on stochastic population dynamics: the role of temporal autocorrelation.
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Vindenes, Yngvild & Engen, Steinar
(2018).
A simple formula for the complex effects of
individual heterogeneity
.
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Färber, Leonie Anette; Durant, Joel Marcel; Vindenes, Yngvild & Langangen, Øystein
(2017).
Benefit of long distance migration for Barents Sea cod.
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Vindenes, Yngvild; Broch, Catharina; Lawson, Callum & Van de Pol, Martijn
(2017).
Eco-evolutionary responses to changing climate variability.
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Vindenes, Yngvild
(2017).
Why individual variation is important for ecology and evolution.
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Vindenes, Yngvild; Langangen, Øystein; Winfield, Ian J. & Vøllestad, Leif Asbjørn
(2016).
The relative impacts of early life conditions and maternal size effects in determining average fitness and population growth of pike
.
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Vindenes, Yngvild
(2016).
Individual variation and eco-evolutionary dynamics: Towards more flexible model frameworks and new applications.
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Vindenes, Yngvild; Langangen, Øystein; Winfield, Ian J. & Vøllestad, Leif Asbjørn
(2015).
Fitness consequences of early life conditions and maternal size effects in pike (Esox lucius)
.
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Vindenes, Yngvild; Langangen, Øystein; Winfield, Ian J. & Vøllestad, Leif Asbjørn
(2015).
Relative fitness importance of a size-mediated maternal effect – an integral projection model approach
.
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Vindenes, Yngvild; Langangen, Øystein; Winfield, Ian J. & Vøllestad, Leif Asbjørn
(2015).
Relative fitness consequences of early life conditions and maternal length in Windermere pike
.
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Vindenes, Yngvild
(2014).
Advancing integral projection models for size-structured populations.
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Vindenes, Yngvild
(2014).
Klimaat maakt snoek middelmatig.
[Newspaper].
Netherlands.
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Vindenes, Yngvild; Ohlberger, Jan; Langangen, Øystein & Winfield, Ian J.
(2013).
How does carrying capacity depend on temperature? A density dependent IPM for pike (Esox lucius).
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Van de Pol, Martijn; Vindenes, Yngvild; Sæther, Bernt-Erik; Engen, Steinar; Ens, Bruno J & Oosterbeek, Kees
[Show all 7 contributors for this article]
(2013).
Effects of climate change on stochastic demography in a population of Eurasian Oystercatchers.
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Vindenes, Yngvild; Edeline, Eric; Ohlberger, Jan; Langangen, Øystein; Winfield, Ian J. & Stenseth, Nils Christian
[Show all 7 contributors for this article]
(2013).
Effects of climate warming on trait-based dynamics in a freshwater top predator.
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Vindenes, Yngvild; Edeline, Eric; Ohlberger, Jan; Langangen, Øystein; Winfield, Ian J. & Stenseth, Nils Christian
[Show all 7 contributors for this article]
(2013).
Trait-based dynamics of a top predator in freshwaters and effects of climate change.
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Vindenes, Yngvild
(2012).
Integral Projection Modeling (IPM) reveals effects of temperature change on the stochastic demography and population dynamics of pike (Esox lucius).
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Vindenes, Yngvild
(2012).
Climate warming and evolutionary demography of pike.
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Vindenes, Yngvild
(2012).
Predicting the impacts of climate change on populations with demographic models.
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Vindenes, Yngvild; Lee, Aline Magdalena; Engen, Steinar & Sæther, Bernt-Erik
(2011).
Fixation of slightly beneficial alleles in finite-sized structured populations: Effects of life history.
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Vindenes, Yngvild; Engen, Steinar & Sæther, Bernt-Erik
(2011).
Stochastic integral projection models for finite populations: Key population parameters and consequences for extinction risk.
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Vindenes, Yngvild; Engen, Steinar & Sæther, Bernt-Erik
(2009).
Effects of demographic heterogeneity in life histories on estimation of extinction risk.
Show summary
Population viability analysis is a cornerstone in conservation biology, which depends on reliable predictions of the risk of extinction. A neglected topic in such risk-analyses has been the basic fact that individuals are different, and therefore typically have varying opportunities for survival and reproduction. For instance, in plants with random dispersal the survival of seedlings depend on where they happen to germinate. Moreover, these differences generally persist over time, creating temporal autocorrelation in the vital parameters of each individual. Here we show that ignoring such a fundamental aspect of populations has important consequences for the estimation of key population parameters and extinction risk. We have based our analysis on stochastic matrix and integral equation models with demographic heterogeneity incorporated. Estimates from these models are compared with estimates from models that ignore the heterogeneity and assume that all variation among individuals is merely random. Our results show that estimates of extinction risk may either increase or decrease compared to when heterogeneity is ignored. The direction of the error depends on the type of heterogeneity and on how it is maintained in the population, and the error becomes larger as the heterogeneity becomes more persistent over time. We emphasize that in order to predict extinction risk it is not enough to consider heterogeneity in only some aspects of life history (e.g. survival) without also taking the rest of the life history into account. Our general modeling approach allows us to study various combinations of heterogeneity in survival and reproduction, as well as different mechanisms for maintaining heterogeneity. An important implication of these results is that the majority of current models used in population viability analysis may in many cases underestimate the extinction risk of small, threatened populations.
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Vindenes, Yngvild; Engen, Steinar & Sæther, Bernt-Erik
(2008).
Individual heterogeneity in vital parameters and population viability.
Show summary
Individuals in a population often have more‐ or less‐consistent differences in their opportunities for survival and reproduction, as a result of various biological mechanisms. For instance, the survival of a plant seedling can depend on where the seed happens to germinate. An important question is how such individual heterogeneity affects the viability of a population. The expected time to extinction of a population is determined by the amount of demographic stochasticity in the population process, which is influenced by individual heterogeneity. However, whether the heterogeneity increases or decreases the demographic stochasticity has been an unresolved question, except for special cases. We have used a stochastic matrix population model to study the effects of individual heterogeneity on demographic stochasticity. This approach is more general than other methods which have previously been used to study this type of problem.
Results/Conclusions
We found that individual heterogeneity can increase, decrease, or have no effect on population viability, depending on the heterogeneity itself and on how it is maintained over time. This contrasts with some earlier results which have indicated that heterogeneity should always have a positive effect. Given certain assumptions, these can be shown to be special cases of our model. We can analyze several special cases, such as permanent heterogeneity and source-sink dynamics, as well as cases where individual heterogeneity is a function of age or stage. Thus, we provide a general theoretical framework for studying how individual heterogeneity, created by various biological mechanisms, affects the fluctuations of especially small populations.
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Vindenes, Yngvild; Engen, Steinar & Sæther, Bernt-Erik
(2007).
Effective size of fluctuating heterogeneous populations.
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Vindenes, Yngvild
(2007).
Pedagogisk opplegg for ungdomsskole-elever.
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Vindenes, Yngvild
(2010).
Stochastic modeling of finite populations with individual heterogeneity in vital parameters.
NTNU, Institutt for biologi.
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Vindenes, Yngvild & Sæther, Bernt-Erik
(2007).
Population Dynamics and Consistent Individual Differences in Vital Parameters.
NTNU, Institutt for biologi.