Perry de Valpine
Perry de Valpine
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population dynamics
Estimating spatially variable and density-dependent survival using open-population spatial capture–recapture models
Open-population spatial capture–recapture (OPSCR) models use the spatial information contained in individual detections collected over …
Cyril Milleret
,
Soumen Dey
,
Pierre Dupont
,
Henrik Brøseth
,
Daniel Turek
,
Perry de Valpine
,
Richard Bischof
Last updated on Feb 25, 2023
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Estimating abundance with interruptions in data collection using open population spatial capture–recapture models
The estimation of population size remains one of the primary goals and challenges in ecology and provides a basis for debate and policy …
Cyril Milleret
,
Pierre Dupont
,
Joseph Chipperfield
,
Daniel Turek
,
Henrik Brøseth
,
Olivier Gimenez
,
Perry de Valpine
,
Richard Bischof
Last updated on Jun 8, 2022
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Fitting complex population models by combining particle filters with Markov chain Monte Carlo
We show how a recent framework combining Markov chain Monte Carlo (MCMC) with particle filters (PFMCMC) may be used to estimate …
Jonas Knape
,
Perry de Valpine
Last updated on Jun 8, 2022
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Effects of weather and climate on the dynamics of animal population time series
Weather is one of the most basic factors impacting animal populations, but the typical strength of such impacts on population dynamics …
Jonas Knape
,
Perry de Valpine
Last updated on Jun 8, 2022
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Synchrony of population dynamics of two vineyard arthropods occurs at multiple spatial and temporal scales
When populations are synchronized, they rise and fall together. Analysis of population synchrony and its relationship to distance has …
Perry de Valpine
,
Katherine Scranton
,
Clifford P. Ohmart
Last updated on Jun 8, 2022
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Stochastic development in biologically structured population models
Variation in organismal development is ubiquitous in nature but omitted from most age- and stage-structured population models. I give a …
Perry de Valpine
Last updated on Jun 8, 2022
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Field-Scale Roles of Density, Temperature, Nitrogen, and Predation on Aphid Population Dynamics
Robust analyses of noisy, stage-structured, irregularly spaced, field-scale data incorporating multiple sources of variability and …
Perry de Valpine
,
Jay A. Rosenheim
Last updated on Jun 8, 2022
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Monte Carlo State-Space Likelihoods by Weighted Posterior Kernel Density Estimation
Maximum likelihood estimation and likelihood ratio tests for nonlinear, non-Gaussian state-space models require numerical integration …
Perry de Valpine
Last updated on Jun 8, 2022
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Better Inferences from Population-Dynamics Experiments Using Monte Carlo State-Space Likelihood Methods
In experimental population ecology, there is often a gap between realistic models used to hypothesize about population dynamics and …
Perry de Valpine
Last updated on Jun 8, 2022
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