Estimation and comparison of heritability and parent–offspring resemblance in dispersal probability from capture–recapture data using different methods: the Collared Flycatcher as a case study

2011 ◽  
Vol 152 (S2) ◽  
pp. 539-554 ◽  
Author(s):  
Blandine Doligez ◽  
Grégory Daniel ◽  
Patrick Warin ◽  
Tomas Pärt ◽  
Lars Gustafsson ◽  
...  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Eric Janssen ◽  
Mike Vuolo ◽  
Clément Gérome ◽  
Agnès Cadet-Taïrou

Abstract This article presents original mixed method research to describe the use of rare illicit psychoactive substances, with special emphasis on crack cocaine in France. We first introduce a unique monitoring system committed to the observation of hard-to-reach populations. Qualitative findings rely, among others, on perennial ethnographic studies and field professionals’ knowledge to provide guidance to estimate the number of crack cocaine users. We then rely on a set of multilevel capture-recapture estimators, a statistical procedure to indirectly estimate the size of elusive populations. Since prior field evidence suggests an increasing diversity in crack cocaine users’ profiles, we provide a measure of heterogeneity to assess which estimator better fits the data. The calculated estimates are then critically reviewed and debated in light of the previously gathered information. Our results uncover both individual and institutional heterogeneity and suggest that the spread of crack cocaine in France initiated earlier than originally thought. Our case study underlines the need for field-driven assessments to put quantitative results into perspective, a necessary step to tailor efficient health policy responses.


PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0215458 ◽  
Author(s):  
J. Terrill Paterson ◽  
Kelly Proffitt ◽  
Ben Jimenez ◽  
Jay Rotella ◽  
Robert Garrott

2018 ◽  
Vol 60 (3) ◽  
pp. 197-209 ◽  
Author(s):  
Dana J. Morin ◽  
Lisette P. Waits ◽  
David C. McNitt ◽  
Marcella J. Kelly
Keyword(s):  

2019 ◽  
Vol 2 ◽  
Author(s):  
Bérces Sándor

A two season capture-recapture study was preformed between 2016-2017, focusing on the Carabus species living in a suburban park (3 hectare) in Budapest, Hungary. Eighty live-capture, non-baited pitfall traps were used in a 3 x 3 m grid in 4 rows and 20 columns, covering almost totally a forested area of 240 m2. Five Carabus species were captured, the most numerous were C. scheidleri, C. ullrichii and C. coriaceus. C. convexus and C. intricatus were captured only a few times. All Carabus species were individually marked and released. Population size and survival rate was estimated only for the C. scheidleri population using POPAN in order to receive gross population size. In total 491 C. scheidleri individuals (251 females and 239 males) were marked. Recapture rate in 2016 and 2017 were 41 and 50 percent for the total population respectively. Estimated population size varied between years, the maximum population size was 680 ± 50 specimen in 2016. In 2017 a population size of 190 ± 16 individuals were estimated. Overwintering of eight C. scheidleri and three C. ullrichii specimen were observed. Less mobile large bodied forest specialist Carabus species living in a relatively small reserve underline the importance of habitat islands in a city.


2020 ◽  
Vol 10 (5) ◽  
pp. 2377-2384
Author(s):  
Emily Malcolm‐White ◽  
Clive R. McMahon ◽  
Laura L. E. Cowen

Author(s):  
Cornelia S. Oedekoven ◽  
Tiago A. Marques ◽  
Danielle Harris ◽  
Len Thomas ◽  
Aaron M. Thode ◽  
...  

AbstractVarious methods for estimating animal density from visual data, including distance sampling (DS) and spatially explicit capture-recapture (SECR), have recently been adapted for estimating call density using passive acoustic monitoring (PAM) data, e.g., recordings of animal calls. Here we summarize three methods available for passive acoustic density estimation: plot sampling, DS, and SECR. The first two require distances from the sensors to calling animals (which are obtained by triangulating calls matched among sensors), but SECR only requires matching (not localizing) calls among sensors. We compare via simulation what biases can arise when assumptions underlying these methods are violated. We use insights gleaned from the simulation to compare the performance of the methods when applied to a case study: bowhead whale call data collected from arrays of directional acoustic sensors at five sites in the Beaufort Sea during the fall migration 2007–2014. Call detections were manually extracted from the recordings by human observers simultaneously scanning spectrograms of recordings from a given site. The large discrepancies between estimates derived using SECR and the other two methods were likely caused primarily by the manual detection procedure leading to non-independent detections among sensors, while errors in estimated distances between detected calls and sensors also contributed to the observed patterns. Our study is among the first to provide a direct comparison of the three methods applied to PAM data and highlights the importance that all assumptions of an analysis method need to be met for correct inference.


2021 ◽  
Vol 11 (7) ◽  
pp. 3380-3392
Author(s):  
Sarah Cubaynes ◽  
Jon Aars ◽  
Nigel G. Yoccoz ◽  
Roger Pradel ◽  
Øystein Wiig ◽  
...  

2019 ◽  
Author(s):  
Sarah Cubaynes ◽  
Jon Aars ◽  
Nigel G. Yoccoz ◽  
Roger Pradel ◽  
Øystein Wiig ◽  
...  

AbstractIn species providing extended parental care, one or both parents care for altricial young over a period including more than one breeding season. We expect large parental investment and long-term dependency within family units to cause high variability in life trajectories among individuals with complex consequences at the population level. So far, models for estimating demographic parameters in free-ranging animal populations mostly ignore extended parental care, thereby limiting our understanding of its consequences on parents and offspring life histories.We designed a capture-recapture multi-event model for studying the demography of species providing extended parental care. It handles statistical multiple-year dependency among individual demographic parameters grouped within family units, variable litter size, and uncertainty on the timing at offspring independence. It allows to evaluate trade-offs among demographic parameters, the influence of past reproductive history on the caring parent survival status, breeding probability and litter size probability, while accounting for imperfect detection of family units. We assess the model performances using simulated data, and illustrate its use with a long-term dataset collected on the Svalbard polar bears (Ursus maritimus).Our model performed well in terms of bias and mean square error and in estimating demographic parameters in all simulated scenarios, both when offspring departure probability from the family unit occurred at a constant rate or varied during the field season depending on the date of capture. For the polar bear case study, we provide estimates of adult and dependent offspring survival rates, breeding probability and litter size probability. Results showed that the outcome of the previous reproduction influenced breeding probability.Overall, our results show the importance of accounting for i) the multiple-year statistical dependency within family units, ii) uncertainty on the timing at offspring independence, and iii) past reproductive history of the caring parent. If ignored, estimates obtained for breeding probability, litter size, and survival can be biased. This is of interest in terms of conservation because species providing extended parental care are often long-living mammals vulnerable or threatened with extinction.


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