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50 results for “mark-recapture”
Snowshoe Hare Mark-Recapture Trapping Data from western Montana Summer 1998-2018
These data were collected over 21 years from 1998-2018 with trapping primarily occurring from May-August. Snowshoe hares were trapped at 16 different girds spread across two regions (Tally Lake and Seeley Lake). Seeley Lake (Lat. = 47.2degree, Long. = -113.4degree) and Tally Lake (Lat. = 48.5degree, Long. = -114.8degree) are approximately 175 km apart and span similar elevations (approximately 1500-1900 m.a.s.l.). Both areas are managed by the US Forest Service (USFS) with a history of multiple use including timber production and are dominated by moist, coniferous forests of Douglas fir, western larch, subalpine fir, lodgepole pine, Engelmann spruce and Ponderosa pine with a herbaceous understory. Snowshoe hares were trapped during the summer using live-traps. We marked all hares greater than 500g with a unique numbered ear tag. We weighed all hares, determined sex, measured right hind foot (RHF) length and determined breeding status. Only adult hares (weight greater than 700g and RHF greater than 10cm) are included in this dataset.
Stream salamander mark-recapture abundance study at the Coweeta Hydrologic Laboratory, Otto, NC.
Mark-recapture data of the stream-dwelling plethodontid salamander species located in six streams within the Coweeta LTER site. The data covers the periods of May to August 2007 and 2008. Animals were either captured and given an individual mark using elastomer dye, or simply counted if animals were too small in size to mark. Animals were captured within 10, 1 m^2 plots within each stream using a 40 X 40 cm mesh bag filled with hardwood leaf litter, or by dipnet within each plot. Animals were identified, measured, marked, and released directly following capture.
Gunnison's Prairie Dog Restoration Experiment (GPDREx): Small Mammal Mark-Recapture Population Assessment within Grasslands at the Sevilleta National Widlife Refuge, New Mexico (2013-2014)
Prairie dogs (Cynomys spp.) are burrowing rodents considered to be ecosystem engineers and keystone species of the central grasslands of North America. Yet, prairie dog populations have declined by an estimated 98% throughout their historic range. This dramatic decline has resulted in the widespread loss of their important ecological role throughout this grassland system. The 92,060 ha Sevilleta NWR in central New Mexico includes more than 54,000 ha of native grassland. Gunnison’s prairie dogs (C. gunnisoni) were reported to occupy ~15,000 ha of what is now the SNWR during the 1960’s, prior to their systematic eradication. In 2010, we collaborated with local agencies and conservation organizations to restore the functional role of prairie dogs to the grassland system. Gunnison’s prairie dogs were reintroduced to a site that was occupied by prairie dogs 40 years ago.  This work is part of a larger, long-term study where we are studying the ecological effects of prairie dogs as they re-colonize the grassland ecosystem. With this project, we would like to further investigate the impact that Gunnison’s prairie dogs have on the landscape. Gunnison’s prairie dog monitoring data has been collected from the beginning of the reintroduction project, but little information has been collected on how grassland species respond to the sudden presence of prairie dogs on the refuge. This project will help determine if the prairie dog reintroduction has had positive impacts on the grassland ecosystem. Prairie dogs benefit grasslands in many ways, but their role as ecosystem engineers directly impacts other species by creating new habitat that would not be present without prairie dogs. We have documented physical landscape changes, but we have not specifically documented benefits to other grassland species. This work will help determine if the reintroduced prairie dog populations on Sevilleta NWR are now acting as a keystone species in a grassland ecosystem by monitor
Data and code from: Accounting for unobserved population dynamics and aging error in close-kin mark-recapture assessments
<p>Obtaining robust estimates of population abundance is a central challenge hindering the conservation and management of many threatened and exploited species. Close-kin mark-recapture (CKMR) is a genetics-based approach that has strong potential to improve monitoring of data-limited species by enabling estimates of abundance, survival, and other parameters for populations that are challenging to assess. However, CKMR models have received limited sensitivity testing under realistic population dynamics and sampling scenarios, impeding application of the method in population monitoring programs and stock assessments. Here, we use individual-based simulation to examine how unmodeled population dynamics and aging uncertainty affect the accuracy and precision of CKMR parameter estimates under different sampling strategies. We then present adapted models that correct the biases that arise from model misspecification. Our results demonstrate that a simple base-case CKMR model produces robust estimates of population abundance with stable populations that breed annually; however, if a population trend or non-annual breeding dynamics are present, or if year-specific estimates of abundance are desired, a more complex CKMR model must be constructed. In addition, we show that CKMR can generate reliable abundance estimates for adults from a variety of sampling strategies, including juvenile-focused sampling where adults are never directly observed (and aging error is minimal). Finally, we apply a CKMR model that has been adapted for population growth and intermittent breeding to two decades of genetic data from juvenile lemon sharks (<em>Negaprion brevirostris</em>) in Bimini, Bahamas, to demonstrate how application of CKMR to samples drawn solely from juveniles can contribute to monitoring efforts for highly mobile populations. Overall, this study expands our understanding of the biological factors and sampling decisions that cause bias in CKMR models, identifies key areas for future inquiry, and provides recommendations that can aid biologists in planning and implementing an effective CKMR study, particularly for long-lived data-limited species.</p>
Close-kin mark-recapture simulation study on the effects of incorrect ageing
<h2>Close-kin mark-recapture simulation study on the effects of incorrect ageing</h2> <p>This repository contains the code and data used to run the simulation study. <br>The results and details of this study are described in the manuscript "Age is not just a number: how incorrect ageing impacts close-kin mark-recapture estimates of population size", which is currently under review at Ecology and Evolution. The results also appear in Chapter 4 of the PhD thesis "Advancements in methods for estimating the abundance of marine megafauna using novel sampling techniques" by Felix T Petersma. <br>We provide some information in support of the files presented here; however, for extensive background we kindly refer you to the PhD chapter or upcoming publication.<br>The study is collaborative effort with Len Thomas, Danielle Harris, Darcy Bradley and Yannis Papastamatiou.</p> <p>Most of the functionality of the model fitting is contained in the 'CKMRcpp'-package. <br>This package has been included pre-built and can be installed using the file 'CKMRcpp_1.0.tar.gz'.<br>Once this package is installed, all scripts included in this location should run fine, given that all other packages that are used are installed as well.</p> <p>Besides the scripts, most of the data files associated with the simulation, fitting, and analysis of the results, are also included in this repository.</p> <p>If anything remains unclear about the files, running of the scripts, and reproducibility of the results, please contact felix.petersma@gmail.com or ftp@st-andrews.ac.uk. </p>
Intercolony variation in reproductive skipping in the African penguin mark-recapture data
<p>In long-lived species, reproductive skipping is a common strategy whereby sexually mature animals skip a breeding season, potentially reducing population growth. This may be an adaptive decision to protect survival or a non-adaptive decision driven by individual-specific constraints. Understanding the presence and drivers of reproductive skipping behaviour can be important for effective population management, yet in many species such as the endangered African penguin (<em>Spheniscus demersus</em>), these factors remain unknown. This study uses multistate mark-recapture methods to estimate African penguin survival and breeding probabilities at two colonies between 2013 and 2020. Overall, survival (mean ± SE) was higher at Stony Point (0.82 ± 0.01) than Robben Island (0.77 ± 0.02). Inter-colony differences were linked to food availability; under decreasing sardine (<em>Sardinops sagax</em>) abundance, survival decreased at Robben Island and increased at Stony Point. Additionally, reproductive skipping was evident across both colonies; at Robben Island, the probability of a breeder becoming a nonbreeder was ~0.22, versus ~0.1 at Stony Point. Penguins skipping reproduction had a lower probability of future breeding than breeding individuals; this lack of adaptive benefit suggests reproductive skipping is driven by individual-specific constraints. Lower survival and breeding propensity at Robben Island places this colony in greater need of conservation action. However, further research on the drivers of inter-colony differences is needed.</p>
Avian community survey by mark-recapture method in a leafy forest of the Station de Biologie des Laurentides, Université de Montréal
<p>Here we provided multiple datasets on birds’ communities surveyed in the Station de Biologie des Laurentides (SBL), the Université de Montréal field station. Capture was performed as part of the BIO2854 field course. BIO2854 is an undergraduate class in terrestrial animal ecology in biological science at Université de Montréal. Highly qualified teaching assistants and students surveyed forest birds over 4 days in May-June 2014 and 2016 by mark-recapture method using mist nets. Data are made available to consult for future research and teaching purpose.</p>
Fig. 4 in A Mark-Recapture Study Of A Dog-Faced Water Snake Cerberus Schneiderii (Colubridae: Homalopsidae) Population In Sungei Buloh Wetland Reserve, Singapore
Fig. 4. Percentage frequency distribution of snout-vent length (SVL) of Cerberus schneiderii.
Considering sampling bias in close-kin mark-recapture (CKMR) abundance estimates of Atlantic salmon
<p>Genetic methods for the estimation of population size can be powerful alternatives to conventional methods. Close-kin mark-recapture (CKMR) is based on the principles of conventional mark-recapture, but instead of being physically marked, individuals are marked through their close kin. The aim of this study was to evaluate the potential of CKMR for the estimation of spawner abundance in Atlantic salmon and how age, sex, spatial, and temporal sampling bias may affect CKMR estimates. Spawner abundance in a wild population was estimated from genetic samples of adults returning in 2018 and of their potential offspring collected in 2019. Adult samples were obtained in two ways. First, adults were sampled and released alive in the breeding habitat during spawning surveys. Second, genetic samples were collected from out-migrating smolts PIT tagged in 2017 and registered when returning as adults in 2018. CKMR estimates based on adult samples collected during spawning surveys were somewhat higher than conventional counts. Uncertainty was small (CV<0.15), due to the detection of a high number of parent-offspring-pairs. Sampling of adults was age- and size-biased and correction for those biases resulted in moderate changes in the CKMR estimate. Juvenile dispersal was limited, but spatially balanced sampling of adults rendered CKMR estimates robust to spatially biased sampling of juveniles. CKMR estimates based on returning PIT tagged adults were approximately twice as high as estimates based on samples collected during spawning surveys. We suggest that estimates based on PIT tagged fish reflect the total abundance of adults entering the river, while estimates based on samples collected during spawning surveys reflect the abundance of adults present in the breeding habitat at the time of spawning. Our study showed that CKMR can be used to estimate spawner abundance in Atlantic salmon, with a moderate sampling effort, but a carefully designed sampling regime is required.</p>
Data from: Genetic mark-recapture analysis of winter faecal pellets allows estimation of population size in sage grouse Centrocercus urophasianus
<p><span>Sex ratio, and the extent to which it varies over time, is an important factor in the demography, management, and conservation of wildlife populations. We estimated pre-breeding sex ratio of greater sage-grouse (Centrocercus urophasianus) in a peripheral, geographically isolated population in northwestern Colorado during two consecutive winters using closed-population, robust-design, multi-state, genetic mark-recapture models in program MARK (White and Burnham 1999). This data release includes the data files (.inp format) used in those models, as described in Shyvers et al. 2023. The data include capture histories and auxiliary data for individual greater sage-grouse collected during two study seasons: Season 1 (winter 2012-2013) and Season 2 (winter 2013-2014) and are readable using program MARK or notepad. Each data row includes the unique bird identification number (GMR-ID); the bird's encounter history for n= sampling occasions coded as a static state (M = male, F = female); the group ID; and a region covariate (0 = North, 1 = South). The data were adapted from those originally developed for Shyvers et al. 2020 and applied using Closed Robust Design Multi-state (CRDMS) Huggins' p and c w/state probabilities in program MARK to obtain estimates of Omega, enabling estimation of sex ratio with associated confidence intervals (see Shyvers et al. 2023).</span></p> <p>References:</p> <p>Shyvers, J.E., Walker, B.L., Oyler-McCance, S.J., Fike, J.A. and Noon, B.R. 2023. Genetic mark-recapture analysis reveals large annual variation in pre-breeding sex ratio of greater sage-grouse. Wildlife Biology (https://doi.org/10.1002/wlb3.01085)</p> <p>Shyvers, J.E., Walker, B.L., Oyler‐McCance, S.J., Fike, J.A. and Noon, B.R., 2020. Genetic mark-recapture analysis of winter faecal pellets allows estimation of population size in Sage Grouse Centrocercus urophasianus. Ibis, 162(3), pp.749-765.</p> <p>White, G. C., and K. P. Burnham. 1999. Program Mark: survival estimation from populations of marked animals. – Bird Study 46:120–139.</p>
Mark-recapture dataset to estimate age-specific reproductive rates of Steller sea lions in Southeast Alaska
<p>Age, region, and year-specific estimates of reproduction are needed for monitoring wildlife populations during periods of ecosystem change. Population dynamics of Steller sea lions (<em>Eumetopias jubatus</em>) in Southeast Alaska varied regionally (with high population growth and survival in the north versus the south) and annually (with reduced adult female survival observed following a severe marine heatwave event), but reproductive performance is currently unknown. We used mark-resighting data from 1,006 SSL females marked as pups at age ~3 weeks of age from 1994–1995 and 2001–2005 and resighted from 2002–2019 (to a maximum age of 25) to examine age-, region-, and year-specific reproduction. In the north versus the south, age of first reproduction was earlier (beginning at age 4 versus age 5, respectively) but annual birth probabilities of parous females were reduced by 0.05. In an average year pre-heatwave, the proportion of females with pup at the end of the pupping season peaked at ages 12–13 with ~0.60/0.65 (north/south) with pup, ~0.30/0.25 with juvenile, and ~0.10 (both regions) without a dependent. In both regions, reproductive senescence was gradual after age 12: ~0.40, 0.40, and 0.20 of females were in these reproductive states, respectively, by age 20. Correcting for neonatal mortality, true birth probabilities at peak ages were 0.66/0.72 (north/south). No cost of reproduction on female survival was detected, but pup production remained lower (-0.06) after the heatwave event, which if sustained would result in population decline in the south. Reduced pup production and greater retention of juveniles during periods of poor prey conditions may be an important strategy for Steller sea lions in Southeast Alaska, where fine-tuning reproduction based on nutritional status may improve the lifetime probability of producing pups under good conditions in a variable and less productive environment. </p>
Intercolony variation in reproductive skipping in the African penguin mark-recapture data
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Considering sampling bias in close-kin mark-recapture (CKMR) abundance estimates of Atlantic salmon
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Mark-recapture dataset to estimate age-specific reproductive rates of Steller sea lions in Southeast Alaska
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Data and code from: Accounting for unobserved population dynamics and aging error in close-kin mark-recapture assessments
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Data from: assessing the suitability of a one-time sampling event for close-kin mark-recapture: a caribou case study
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Data from: Genetic mark-recapture analysis of winter faecal pellets allows estimation of population size in sage grouse Centrocercus urophasianus
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Data from: Parasite-manipulated host dispersal: evidence from population genetics and mark-recapture experiment
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Data from: Mark-recapture experiments reveal foraging behavior and plant fidelity of native bees in plant nurseries
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Data from: Long-term mark-recapture and growth data for large-sized migratory brown trout (Salmo trutta) from Lake Mjøsa, Norway
<p>This data package contains two unique publicly available time series of individual-based data originating from a 51-year mark-recapture study of a land-locked population of large-sized migratory brown trout (<em>Salmo trutta</em>) in Norway: the Hunder trout. In the period 1966-2015, nearly 14,000 adult Hunder trout have been captured and individually marked during their spawning migration from Lake Mjøsa to the river Gubrandsdalslågen. Almost a third of those individuals were later recaptured alive during a later spawning run and/or captured by fishermen and reported dead or alive. This has resulted in the first data series: a mark-recapture-recovery dataset spanning half a century and more than 18,000 capture records. The second data series consists of additional data on juvenile and adult growth and life-history schedules from half of the marked individuals, obtained by means of scale sample analysis. The two datasets offer a rare long-term perspective on individuals and population dynamics and provide unique opportunities to gain insights into questions surrounding management, conservation, and restoration of migratory salmonid populations and freshwater ecosystems.<br> </p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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