Analysing movement behaviour and dynamic space‐use strategies among habitats using multi‐event capture‐recapture modelling

Cayuela, Hugo; Pradel, Roger; Joly, Pierre; Besnard, Aurélien

doi:10.1111/2041-210x.12717

Cited by 24 publications

(31 citation statements)

References 43 publications

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“…To this end, we used capture-recapture multi-event models recently developed by Cayuela, Pradel, Joly, and Besnard (2017), which allow the estimation of movement between sites located in similar or different habitat types. As is usual in multi-event capture-recapture models, a distinction is made between events and states (Pradel, 2005).…”

Section: A Multi-event Capture-recapture Model To Estimate Conditiomentioning

confidence: 99%

“…The capture-recapture multi-event model proposed by Cayuela, Pradel et al (2017) is based on states that include information about the movement between t À 1 and t, the capture status at t À 1 and t, and the type of site occupied at t. This information is embedded in composite states as follows. Individuals that change site between t À 1 and t are coded 'M' for 'moved', while individuals that remain in the same site are coded 'S' for 'stayed'.…”

Section: A Multi-event Capture-recapture Model To Estimate Conditiomentioning

confidence: 99%

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Manipulating waterbody hydroperiod affects movement behaviour and occupancy dynamics in an amphibian

et al. 2017

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Species that occur in ephemeral habitats such as temporary waterbodies have evolved specific strategies that allow them to respond to spatial and temporal variations in water availability and quality. Their life‐history strategies, involving complex life cycles, have evolved to allow individuals to escape deteriorating environmental conditions when a waterbody dries up. These adaptations have led to the emergence of complex movement behaviour, which might then be expected to affect the spatiotemporal dynamics of reproduction. To date, few empirical studies have investigated how the risks of waterbody drying out affects movement behaviour at the individual level and how movement decisions then shape waterbody occupancy dynamics. In this study, we examined this issue in an endangered amphibian, the yellow‐bellied toad (Bombina variegata). For this purpose, we experimentally manipulated waterbody hydroperiod and collected capture–recapture and presence–absence data in 334 waterbodies located in 15 B. variegata populations in the region of Geneva (Switzerland) during a 5‐year period (2012–2016). The results of our analyses reveal that the waterbody hydroperiod affects this species' movement behaviour. Adults were less likely to leave waterbodies with a long hydroperiod both intra‐ and inter‐annually. In addition, breeding occupancy strongly depended on a waterbody's hydroperiod. In particular, interannual changes in breeding occurrence were less frequent in waterbodies with a long hydroperiod. Our findings show that the hydroperiod strongly affects ecological processes at different levels, from individuals' movement decisions to waterbody occupancy dynamics. The results demonstrate that adults adjust their movement decisions according to the risk of breeding failure driven by the hydroperiod, which then affects the waterbody occupancy dynamics.

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Section: A Multi-event Capture-recapture Model To Estimate Conditiomentioning

confidence: 99%

Section: A Multi-event Capture-recapture Model To Estimate Conditiomentioning

confidence: 99%

Manipulating waterbody hydroperiod affects movement behaviour and occupancy dynamics in an amphibian

et al. 2017

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“…Yet these models assume the estimation of transition parameters between all pairs of sites, resulting in numerical issues when many sites have to be considered; the number of transition parameters increases as the square of the number of capture/resighting sites (Lebreton et al 2009). Cayuela et al (2017) recently extended this model to allow survival and dispersal probabilities to differ according to the different types of habitat represented by several sites within a study area. Cayuela et al (2017) recently extended this model to allow survival and dispersal probabilities to differ according to the different types of habitat represented by several sites within a study area.…”

Section: Introductionmentioning

confidence: 99%

“…

Dispersal is a key process in ecological and evolutionary dynamics. More recently, Cayuela et al (2017) extended this model to allow survival and dispersal probabilities to differ for the different types of habitat represented by several sites within a study area. In recent decades, the study of dispersal has led to the development of capture-recapture (CR) models that allow movement between sites to be quantified, while handling imperfect detection.

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confidence: 99%

“…Spatiotemporal variation in habitat availability and characteristics has been suggested to be one of the main cause involved in dispersal evolution and has a strong influence on metapopulation dynamics. For that purpose, we generalized the multievent CR model proposed by Cayuela et al (2017) to allow the estimation of dispersal, survival and recapture probabilities when a site may appear or disappear over time (MODEL 1) or when the characteristics of a site fluctuate over space and time (MODEL 2). For studies involving numerous recapture sites, Lagrange et al (2014) proposed a multievent CR model that allows dispersal to be estimated while omitting site identity by distinguishing between individuals that stay and individuals that move.…”

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Estimating dispersal in spatiotemporally variable environments using multievent capture–recapture modeling

Cayuela

Pradel

Joly

et al. 2018

Ecology

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Dispersal is a key process in ecological and evolutionary dynamics. Spatiotemporal variation in habitat availability and characteristics has been suggested to be one of the main cause involved in dispersal evolution and has a strong influence on metapopulation dynamics. In recent decades, the study of dispersal has led to the development of capture-recapture (CR) models that allow movement between sites to be quantified, while handling imperfect detection. For studies involving numerous recapture sites, Lagrange et al. () proposed a multievent CR model that allows dispersal to be estimated while omitting site identity by distinguishing between individuals that stay and individuals that move. More recently, Cayuela et al. () extended this model to allow survival and dispersal probabilities to differ for the different types of habitat represented by several sites within a study area. Yet in both of these modeling systems, the state of sites is assumed to be static over time, which is not a realistic assumption in dynamic landscapes. For that purpose, we generalized the multievent CR model proposed by Cayuela et al. () to allow the estimation of dispersal, survival and recapture probabilities when a site may appear or disappear over time (MODEL 1) or when the characteristics of a site fluctuate over space and time (MODEL 2). This paper first presents these two new modeling systems, and then provides an illustration of their efficacy and usefulness by applying them to simulated CR data and data collected on two metapopulations of amphibians. MODEL 1 was tested using CR data recorded on a metapopulation of yellow-bellied toads (Bombina variegata). In this first empirical case, we examined whether the drying-out dynamics of ponds and the past dispersal status of an individual might affect dispersal behavior. Our study revealed that the probability of facultative dispersal (i.e., from a pond group that remained available/flooded) fluctuated between years and was higher in individuals that had previously dispersed. MODEL 2 was tested using CR data collected on a metapopulation of great crested newts (Triturus cristatus). In this second empirical example, we investigated whether the density of alpine newts (Ichthyosaura alpestris), a potential competitor, might affect the dispersal and survival of the crested newt. Our study revealed that the departure rate was lower in ponds with a high density of heterospecifics than in ponds with a low density of heterospecifics at both inter-annual and intra-annual scales. Moreover, annual survival was slightly higher in ponds with a high density of heterospecifics. Overall, our findings indicate that these multievent CR models provide a highly flexible means of modeling dispersal in dynamic landscapes.

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Assessment of individual and conspecific reproductive success as determinants of breeding dispersal of female tree swallows: A capture–recapture approach

Lagrange

Giménez

Pradel

et al. 2017

Ecology and Evolution

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Breeding dispersal is a key process of population structure and dynamics and is often triggered by an individual's breeding failure. In both colonial and territorial birds, reproductive success of conspecifics (RSc) can also lead individuals to change breeding sites after a failure on a site. Yet, few studies have simultaneously investigated the independent contribution of individual reproductive success (RSi) and of RSc on dispersal decision. Here, we develop a modeling framework to disentangle the effects of RSi and RSc on demographic parameters, while accounting for imperfect individual detection and other confounding factors such as age or dispersal behavior in the previous year. Using a 10‐year capture–recapture dataset composed of 1,595 banded tree swallows, we assessed the effects of nonmanipulated RSi and RSc on female breeding dispersal in this semicolonial passerine. Dispersal was strongly driven by RSi, but not by RSc. Unsuccessful females were 9.5–2.5 times more likely to disperse than successful ones, depending if they had dispersed or not in the previous year, respectively. Unsuccessful females were also three times less likely to be detected than successful ones. Contrary to theoretical and empirical studies, RSc did not drive the decision to disperse but influenced the selection of the following breeding site once dispersal had been initiated. Because detection of individuals was driven by RSi, which was positively correlated to RSc, assuming a perfect detection as in previous studies may have lead us to conclude that RSc affected dispersal patterns, yet our approach corrected for this bias. Overall, our results suggest that the value and use of RSc as public information to guide dispersal decisions are likely dictated by multiple ecological determinants, such as landscape structure and extent, if this cue is indeed used.

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Analysing movement behaviour and dynamic space‐use strategies among habitats using multi‐event capture‐recapture modelling

Cited by 24 publications

References 43 publications

Manipulating waterbody hydroperiod affects movement behaviour and occupancy dynamics in an amphibian

Manipulating waterbody hydroperiod affects movement behaviour and occupancy dynamics in an amphibian

Estimating dispersal in spatiotemporally variable environments using multievent capture–recapture modeling

Assessment of individual and conspecific reproductive success as determinants of breeding dispersal of female tree swallows: A capture–recapture approach

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