Estimating survival and transition probabilities from aggregate sightings of animals

Viallefont, Anne; Besbeas, Panagiotis; Morgan, Byron J. T.; McCrea, Rachel S.

doi:10.1007/s10336-010-0588-7

Cited by 2 publications

(1 citation statement)

References 33 publications

(32 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An intermediate case is when batches of individuals are marked at one or more times so that their fates may be distinguished as a cohort within a more complex population (Viallefont et al . ). For many studies, the purpose of estimating stage durations is to disentangle them from mortality, so it is important to consider both goals together.…”

Section: Dealing With Data: Estimating Models With Variable Stage Durmentioning

confidence: 97%

The importance of individual developmental variation in stage‐structured population models

et al. 2014

View full text Add to dashboard Cite

Population stage structure is fundamental to ecology, and models of this structure have proven useful in many different systems. Many ecological variables other than stage, such as habitat type, site occupancy and metapopulation status are also modelled using transitions among discrete states. Transitions among life stages can be characterised by the distribution of time spent in each stage, including the mean and variance of each stage duration and within-individual correlations among multiple stage durations. Three modelling traditions represent stage durations differently. Matrix models can be derived as a long-run approximation from any distribution of stage durations, but they are often interpreted directly as a Markov model for stage transitions. Statistical stage-duration distribution models accommodate the variation typical of cohort development data, but such realism has rarely been incorporated in population theory or statistical population models. Delay-differential equation models include lags but no variation, except in limited cases. We synthesise these models in one framework and illustrate how individual variation and correlations in development can impact population growth. Furthermore, different development models can yield the same long-term matrix transition rates but different sensitivities and elasticities. Finally, we discuss future directions for estimating realistic stage duration models from data.

show abstract

Section: Dealing With Data: Estimating Models With Variable Stage Durmentioning

confidence: 97%

The importance of individual developmental variation in stage‐structured population models

et al. 2014

View full text Add to dashboard Cite

show abstract

Simultaneous estimation of dispersal and survival of the gulf killifish Fundulus grandis from a batch-tagging experiment

Jensen¹,

Martin²,

Oken³

et al. 2019

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

The gulf killifish Fundulus grandis has been widely used as an indicator species for studying impacts of disturbance. However, such use requires an understanding of the spatial and temporal scales over which an individual may have been exposed to a disturbance, i.e. its dispersal range and survival. Here, we present a novel spatial capture-recapture (SCR) model for simultaneous estimation of dispersal and survival from batch-tagging data. The model is applied to simulated data and data from a mark-recapture experiment on gulf killifish in 4 saltmarsh creeks near Cocodrie, Louisiana, USA. The model is relatively robust to misspecification of the functional form of dispersal and outperforms a non-spatial model when dispersal beyond the study area occurs. However, in 2 of the study creeks, the expected decline in recaptures with distance and time from release was not observed. In the other 2 study creeks, model predictions generally matched observations, and the average estimated mortality rate was 3.44 yr −1 , equivalent to a maximum age of 1.3 yr. The long-term cumulative 50% dispersal distance averaged 29 m. These results suggest that observed responses of gulf killifish to disturbance generally reflect extremely local conditions (<100 m). Thus, this species can serve as a site-specific indicator of disturbance, though only individuals collected within the same year as the disturbance event are likely to have been directly exposed. Our SCR model is widely applicable to batch-tagging experiments where release and recapture locations are recorded. KEY WORDS: Site fidelity • Home range • Gulf of Mexico • Deepwater Horizon • Macondo oil spill • Spatial capture-recapture • Fundulidae • Cyprinodontiformes Resale or republication not permitted without written consent of the publisher

show abstract

Estimating survival and transition probabilities from aggregate sightings of animals

Cited by 2 publications

References 33 publications

The importance of individual developmental variation in stage‐structured population models

The importance of individual developmental variation in stage‐structured population models

Simultaneous estimation of dispersal and survival of the gulf killifish Fundulus grandis from a batch-tagging experiment

Contact Info

Product

Resources

About