Estimating dyad association probability under imperfect and heterogeneous detection

Klaich, M. Javier; Kinas, Paul Gerhard; Pedraza, Susana N.; Coscarella, Mariano Alberto; Crespo, Enrique A.

doi:10.1016/j.ecolmodel.2011.03.027

Cited by 8 publications

(8 citation statements)

References 41 publications

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“…The only related work of which we are aware is that of Klaich et al. (), who developed a likelihood‐based model where capture rates of individuals in dyads (of a demographically closed population) varied between individuals that are associated and those that are not associated at the capture occasion t . The lower recapture rates for birds that changed partners between breeding seasons in this study might be a consequence of early breeding failure (e.g., Hannon and Martin ; Flynn et al.…”

Section: Discussionmentioning

confidence: 99%

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A multievent approach to estimating pair fidelity and heterogeneity in state transitions

Culina

Lachish

Pradel

et al. 2013

Ecology and Evolution

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Fidelity rates of pair-bonded individuals are of considerable interest to behavioral and population biologists as they can influence population structure, mating rates, population productivity, and gene flow. Estimates of fidelity rates calculated from direct observations of pairs in consecutive breeding seasons may be biased because (i) individuals that are not seen are assumed to be dead, (ii) variation in the detectability of individuals is ignored, and (iii) pair status must be known with certainty. This can lead to a high proportion of observations being ignored. This approach also restricts the way variation in fidelity rates for different types of individuals, or the covariation between fidelity and other vital rates (e.g., survival) can be analyzed. In this study, we develop a probabilistic multievent capture–mark–recapture (MECMR) modeling framework for estimating pair fidelity rates that accounts for imperfect detection rates and capture heterogeneity, explicitly incorporates uncertainty in the assessment of pair status, and allows estimates of state-dependent survival and fidelity rates to be obtained simultaneously. We demonstrate the utility of our approach for investigating patterns of fidelity in pair-bonded individuals, by applying it to 30 years of breeding data from a wild population of great tits Parus major Linnaeus. Results of model selection supported state-dependent recapture, survival, and fidelity rates. Recapture rates were higher for individuals breeding with their previous partner than for those breeding with a different partner. Faithful birds that were breeding with the same partner as in the previous breeding season (i.e., at t − 1) experienced substantially higher survival rates (between t and t + 1) and were also more likely to remain faithful to their current partner (i.e., to remain in the faithful state at t + 1). First year breeders were more likely to change partner than older birds. These findings imply that traditional estimates, which do not account for state-dependent parameters, may be both inaccurate and biased, and hence, inferences based on them may conceal important biological effects. This was demonstrated in the analysis of simulated capture histories, which showed that our MECMR model was able to estimate state-dependant survival and pair fidelity rates in the face of varying state-dependant recapture rates robustly, and more accurately, than the traditional method. In addition, this new modeling approach provides a statistically rigorous framework for testing hypothesis about the causes and consequences of fidelity to a partner for natural populations. The novel modeling approach described here can readily be applied, either in its current form or via extension, to other populations and other types of dyadic interactions (e.g., between nonpaired individuals, such as parent–offspring relationships, or between individuals and locations, such as nest-site fidelity).

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Section: Discussionmentioning

confidence: 99%

“…, dominance(Cubaynes et al 2010), and infection status(Lachish et al 2011) has already been emphasized, pair status as a source of capture heterogeneity has not previously been considered. The only related work of which we are aware is that ofKlaich et al (2011), who developed a likelihood-based model where capture rates of individuals…”

mentioning

confidence: 99%

A multievent approach to estimating pair fidelity and heterogeneity in state transitions

Culina

Lachish

Pradel

et al. 2013

Ecology and Evolution

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“…The performance of those index estimates that were obtained from a normally distributed population, was assessed by evaluating how these indexes were affected by extreme values of φ and p ( Klaich et al, 2011 ). The Wald confidence interval (CI) ( Eq.…”

Section: Methodsmentioning

confidence: 99%

“…To study the performance of the indexes in a real population, the information used was obtained from a Commerson’s dolphin ( Cephalorhynchus commersonii ) population inhabiting Bahía Engaño, Chubut, Argentina ( ). This population has been studied in many aspects, including behaviour, social structure and abundance estimation ( Klaich et al, 2011 ; Coscarella et al, 2011 ; Coscarella, Pedraza & Crespo, 2010 ; Coscarella, 2005 ). During the period 1998–2001 a social structure study was carried out based on photo identification techniques (more details on the methodology can be found in Coscarella et al (2011) ).…”

Section: Methodsmentioning

confidence: 99%

Development of a site fidelity index based on population capture-recapture data

Tschopp

Ferrari

Crespo

et al. 2018

PeerJ

Self Cite

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BackgroundSite fidelity is considered as an animal’s tendency to return to a previously occupied place; this is a component of animal behaviour that allows us to understand movement patterns and aspects related to the animal’s life history. Although there are many site fidelity metrics, the lack of standardisation presents a considerable challenge in terms of comparability among studies.MethodsThis investigation focused on the theoretical development of a standardised composite site fidelity index and its statistical distribution in order to obtain reliable population-level site fidelity comparisons. The arithmetic and harmonic means were used as mathematical structures in order to create different indexes by combining the most commonly used indicators for site fidelity such as Occurrence, Permanence and Periodicity. The index performance was then evaluated in simulated populations and one real population of Commerson’s dolphins (Cephalorhynchus commersonii (Lacépède 1804)). In the first case, the indexes were evaluated based on how they were affected by different probability values such as the occurrence of the individual within the study area (φ) and capture probability (p). As a precision measure for the comparison of the indexes, the Wald confidence interval (CI) and the mean square error were applied. Given that there was no previous data concerning the distribution parameters of this population, bootstrap CIs were applied for the study case.ResultsEight alternative indexes were developed. The indexes with an arithmetic mean structure, in general, had a consistently inferior performance than those with a harmonic mean structure. The index IH4, in particular, achieved the best results in all of the scenarios and in the study case. Additionally, this index presented a normal distribution. As such, it was proposed as a standardised measure for site fidelity (Standardised Site Fidelity Index—SSFI).DiscussionThe SSFI is the first standardised metric that quantifies site fidelity at a populational level. It is an estimator that varies between zero and one and works in situations where detection is not perfect and effort can be constant or not. Moreover, it has an associated CI that allows users to make comparisons.

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“…The communication channels are divided into three groups: body motion information, vocal information, and facial expression. Sensing of these information enables us to be given the cues about which users form a group [6].…”

Section: B Psychological Findings In Communicationmentioning

confidence: 99%

Community detection in real communication using body sway and voice information with ambient sensing chair

Wataya

Iwai

Sato

2013

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration

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The authors aim to develop a community detection system without constraining users. This paper introduces a method to detect communities in which users are engaging in a conversation with each other, by an ambient sensing of body sways and their synchrony between users. We apply an improved ambient sensing chair, which had been developed in our previous study. The system employs wireless force sensors to measure the center of pressure. By using measured speaker/listener information and synchrony between any users' body sways, it is confirmed to detect the community information in experiment.

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Estimating dyad association probability under imperfect and heterogeneous detection

Cited by 8 publications

References 41 publications

A multievent approach to estimating pair fidelity and heterogeneity in state transitions

A multievent approach to estimating pair fidelity and heterogeneity in state transitions

Development of a site fidelity index based on population capture-recapture data

Community detection in real communication using body sway and voice information with ambient sensing chair

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