Capture Probability Research Articles

Model selection and model robustness for population size estimation in two-sample capture-recapture studies.

Two-sample capture-recapture studies are commonly used in the epidemiological and ecological literature. Most of these studies have been limited to analysis using the Lincoln-Petersen estimator, especially in epidemiological studies. We examine the use of the Lincoln-Petersen estimator and two alternative closed-population methods: Huggins' conditional likelihood method and Pledger's likelihood method with mixtures. We assessed the ability of aic to perform model selection when time, behavioural effects, or heterogeneity are present in capture probabilities. In addition, we examined the effects of model misspecification on estimates of population size. An extensive simulation study found that these models are not robust to misspecification and that aic was not capable of selecting the correct model with two capture occasions.

Assessment of Organic Matter Influence on the Ecological Integrity of Poyang Lake Using O/E Model and Chemical-Biological Indices over the Past Two Decades.

Ecological integrity, encompassing physical, chemical, and biological aspects, is crucial for sustaining ecosystem service functions and stability. As the largest freshwater lake in China, the ecological integrity of Poyang Lake has attracted much attention due to the over-exploitation of its water resources in recent years. In this study, several biological and water quality surveys on water ecological conditions were carried out at 11 sampling points of Poyang Lake from 1998 to 2022, and the ecological health of Poyang Lake was evaluated by use of the O/E (Observation/Expectation) model and the chemical-biological index method according to the status of the water quality and the structure of the benthic fauna in the four seasons, respectively. The results showed that the benthic community structure is simple, and the biodiversity is low, which is mainly dominated by Insecta in Arthropoda and Oligochaeta in Oroidea, accounting for 84.3% and 42.4%, respectively; the results of the O/E index evaluated under the threshold of probability of capture ≥ 0.5 showed that the health grade of all sections was sub-healthy or average, which was consistent with the results of the chemical-biological composite index evaluation. The dual evaluation method of the O/E model and chemical-biological composite index adopted in this study integrates more than twenty years of long-time scale data; this method combined with long time scale data has not been studied before, and its advantage is that it can more objectively show the change in the ecological situation of Poyang Lake for many years. The results of the present study could provide a theoretical basis and technical support for the evaluation of lake water environment quality.

Capture Probability of Blue Swimmer Crab (Portunus armatus) in Baited Traps and Implications for Trap Survey Design

ABSTRACTFishery independent surveys provide valuable data for fisheries assessments that predominantly rely on trends in catch per unit effort (CPUE). Many crustacean fisheries are harvested using traps, so this gear is often used for fishery independent surveys. The areal sampling unit for baited traps is normally poorly understood, so surveys can be biased if sampling areas overlap. The blue swimmer crab (Portunus armatus) is an important commercial and recreational species distributed around the warm temperate and tropical coast of Australia, and stock management typically relies on catch data supplemented by independent surveys. Acoustic telemetry was used to track fine‐scale movements of 37 crabs in response to deployment of baited‐traps and to estimate probability of capture relative to distance from the trap. Traps attracted crabs from an initial distance up to 70 m, with most movements towards traps after dark. Capture probability increased with decreasing initial distance from a deployed trap. Despite this, the probability of capture was < 50% for crabs positioned adjacent to a deployed trap, which could lead to a mismatch between catch and crab abundance if the proportion of catchable crabs varied with abundance. Our findings reinforced that nocturnal sampling was more appropriate for the species, and we recommend that traps be no closer than 140 m apart. Our findings also demonstrated the utility of fine‐scale acoustic telemetry for informing survey designs and may serve as a template for other trap surveys and fisheries.

PF-MAAC: A learning-based method for probabilistic optimization in time-constrained non-adversarial moving target search

This paper investigates the multi-robot efficient search (MuRES) problem with a focus on maximizing the probability of capturing a moving target within a predefined time constraint. Given the complexity of the MuRES problem, traditional optimization algorithms often result in significant computational overhead. As a result, learning-assisted intelligent optimization, particularly reinforcement learning (RL), has emerged as a prominent research trend, providing more efficient and adaptive solutions. However, the non-additive nature of the objective to maximize capture probability complicates the direct application of canonical RL-based algorithms. To address the challenge, we propose the probabilistically factorized multi-agent actor-critic (PF-MAAC) algorithm, which serves as a lightweight solution aligned with probability theory specifically designed to handle the complexities of the maximal capture probability objective. PF-MAAC is composed of (1) a generalized temporal difference (GTD) module to establish the temporal-difference relationship of the central value function, (2) a probability-based factorization (P-FAC) module to decompose the central value function into individual ones in a probability-compliant manner, and (3) an extended policy gradient (EPG) module which updates each robot’s actor-network based on the decomposed individual value function. Comparative simulations across various MuRES test environments demonstrate that PF-MAAC outperforms state-of-the-art methods. Furthermore, we successfully deployed PF-MAAC in a real multi-robot system for moving target search in a self-constructed indoor environment, achieving the satisfactory results for different time constraints.

Defining depth requirements to conserve fish assemblages from water take in an intermittent river

River systems once safeguarded from water development are being developed. This includes intermittent rivers that annually dry to a series of pools. Describing fish species relationships between abundance and pool depth can help managers set water-take rules that protect fish in dry-season pools. We sampled fish in main-channel and floodplain pools that spanned a gradient of depths and overcame sampling challenges by accounting for interacting effects of species mean length, environmental attributes, and sampling attributes on fish capture probabilities. Fish abundance-depth relationships varied systematically with species mean length, mesohabitat type (main channel, floodplain), water turbidity, and structural complexity, highlighting system complexity and the potential generality of abundance-depth relationships. Similarly, fish length moderated the effects of environmental attributes on capture probability for all sampling methods. We evaluated impacts of hypothetical water-take regulations on fish species’ distributions. Results suggested that water-take rules prohibiting draining of main-channel pools below 1.65 m and reducing floodplain pools by no more than 14% minimises impacts to species’ distributions, promoting conservation of the fish community. Additionally, our approach demonstrates the capacity of species length for predicting distributional and sampling patterns of fish species.

First-year movement and survival of stocked Striped Bass in a coastal system inferred from individually marked fish

Abstract Objective Stock enhancement programs support many fisheries worldwide, including those for Striped Bass Morone saxatilis. Understanding survival and movement after stocking can help to inform stocking strategies. The goal of this research was to evaluate stocking success by tracking movement and survival of phase II Striped Bass (200–250 mm total length) in the Great Pee Dee River system of coastal South Carolina. The objectives of this study were to (1) determine daily movement across river basins and identify areas where Striped Bass congregate during their first year to infer potential nursery habitat; and (2) estimate first-year survival poststocking. Methods Hydroacoustic transmitters were surgically implanted into 28 phase II Striped Bass prior to stocking on December 1, 2020. Fish were monitored on 74 fixed receivers that were distributed throughout the Great Pee Dee River system. Daily survival and movement were estimated using a multi-state Cormack–Jolly–Seber model. We evaluated multiple models to describe survival (e.g., constant, daily random effect model, and varying by season) and capture probability (e.g., constant and varying by zone). Result Daily persistence probability was high for all zones, and most fish spent most of their time in the delta region at the confluence of the Great Pee Dee and Waccamaw rivers. Median daily survival was greater than 0.986 across all days, and cumulative survival after the 323-day period of the study was 0.131. Survival was highest in winter and lowest in summer. Conclusions This study provides insights into the fate of stocked phase II Striped Bass in their first year poststocking. We identified potential nursery habitat that could be critical for successful long-term viability of this population. We suggest that stocking locations be moved closer to the nursery habitats in the delta region of the Great Pee Dee River–Waccamaw River confluence and closer to Winyah Bay. Abstract Impact statement Hydroacoustic tracking of phase II Striped Bass stocked in a river within the southeastern Atlantic Coastal Plain suggested that the fish inhabited the delta region during the first year after their release, with an annual cumulative survival of 0.131. Results indicated that stocking locations should be moved closer to inferred nursery areas.

Gillnet selectivity of commercially important fish Labeo rohita, Hamilton,1822 and Catla catla, Hamilton,1822 in kosi river, Madhepura, Bihar

Application of fishing gears in fishery is the result of experiences gained over a long period of time. Every water body has a unique pattern of fishing activity. The present study was aimed to evaluate the selectivity of gillnets and the size at first maturity of commercially important fish species in Kosi river mainly the Rohu Labeo rohita and Catla Catla catla. Experimental fishing was conducted using gillnets of different mesh sizes (60, 80, 100, 120 and 140 mm) in six sampling occasions from 2023 - 2024. A total of 2671 fish specimens consisting of 1184 L. rohita and 1523 C. catla were analyzed. Gillnet selectivity parameters for each mesh sizes were estimated for each species using the SELECT method. The size at first maturity (Lm) and its 95% CI for L. rohita and C. catla were estimated at 23.9 cm (23.3 - 24.5 cm), and 32.5 cm (31.6 - 33.4 cm), respectively. Results showed that a Log-normal model best described gillnets selectivity for C. catla, while a Normal location model best described for L. rohita. Capture probability estimates indicate that the optimum length of capture (LCAP) of > 80 mm mesh size nets are smaller than the Lm of both target species, while LCAP of >120 mm mesh net selects above the Lm value for both L. rohita and C. catla. Although the 100 mm mesh selects above the size of Lm value for L. rohita, it still selects below the Lm value for C. catla. Based on the results obtained, it was concluded that gillnets of mesh size 100 and 120 cm may safely be applied in Kosi river fishery if proper level of effort is applied that ensures sustainability of both target species. This study provides the baseline scenario for formulating a sustainable fisheries management strategy since many aspects of the L. rohita and C. catla fishery are not disclosed.. KEYWORDS :Rohu, Catla, optimum length of capture, SELECT model, gonad maturity, Gillnet.

A simulation on field distribution and particle capture characteristics in a multi-wire PHGMS system

ABSTRACT In the development history of high gradient magnetic separation (HGMS), the introduction of pulsating flow was extremely important, it successfully solved the problem of matrix clogging and allowed continuous and stable operation in the industry. However, the current pulsating HGMS (PHGMS) theory remains inadequately understood. In this paper, a 2D simulation model was established in COMSOL Multiphysics to reveal the magnetic field characteristics, flow field distribution, and particle capture dynamics in a PHGMS system. Quantitative comparisons were carried out between single-wire and multi-wire systems in the presence and absence of pulsation flow. The simulation results indicated that due to the coupled effect of neighboring magnetic wires in matrix, the magnetic field strength around an individual magnetic wire would slightly drop while the flow field velocity would increase. The introduction of pulsating flow could increase the peak value of fluid velocity and give particles a chance to move up and down. The analysis of particles travels length and capture probability indicated that the recovery for fine particles might be improved by increasing the strength of pulsating flow. This study provided a novel strategy for the highly efficient recovery of fine, weakly magnetic materials.

Determination of Fractional Electron Capture Probabilities of 59Ni by Means of Metallic Magnetic Calorimeters

Determination of Fractional Electron Capture Probabilities of 59Ni by Means of Metallic Magnetic Calorimeters

Fishy Business—Assessing the Efficacy of Active and Passive eDNA to Describe the Fish Assemblage of a River in Southwestern Western Australia to Support Effective Monitoring

ABSTRACTWorldwide, freshwater vertebrate populations are declining with increasing pressure on rivers due to numerous environmental and climatic threats. Environmental DNA (eDNA) could potentially provide a more efficient and non‐invasive mechanism to monitor freshwater systems, either as a complement or in replacement to traditional methods to accurately assess species' distributions. Here, we utilize a hierarchical multispecies N‐mixture model to compare three fish sampling methods: traditional fyke netting and active and passive environmental DNA sampling along a 30 km stretch of the Canning River in Western Australia. We used the fitted model to compare capture probabilities among sampling methods and reveal the sampling effort required to describe the species assemblage. Results indicated that while all methods could detect fish, combined eDNA methodologies detected one more fish species than those caught by fyke netting. In addition, active eDNA sampling produced the highest capture probabilities and more consistently described the entire fish assemblage at any given site. Fyke netting and passive eDNA did not show significant differences in their average capture probabilities, and both methods had lower abilities to capture individual species than active eDNA. Active eDNA also required fewer replicate samples to detect the expected observed richness, and fyke netting required the most replicates. Additionally, a hierarchical multispecies abundance model showed that active environmental DNA (eDNA) sampling is the most effective method for monitoring freshwater fish populations. This study contributes to our understanding of eDNA in aquatic systems and demonstrates that, at least under current conditions, active sampling is still the preferred method in freshwater systems with low flow compared to both passive sampling and fyke netting.

Strong winds reduce foraging success in albatrosses

Knowledge of how animals respond to weather and changes in their physical environment is increasingly important, given the higher frequency of extreme weather recorded in recent years and its forecasted increase globally.1,2 Even species considered to be highly adapted to extremes of weather, as albatrosses are to strong winds,3,4,5 may be disadvantaged by shifts in those extremes. Tracked albatrosses were shown recently to avoid storms and the strongest associated winds.6 The drivers of this response are so far unknown, though we hypothesize that turbulent storm conditions restrict foraging success, possibly by reducing the detectability or accessibility of food, and albatrosses divert toward more profitable conditions where possible. We tested the impact of the physical environment-wind speed, rainfall, water clarity, and time of day-on feeding activity and success of two species of albatrosses with contrasting foraging strategies. We tracked 33 wandering and 48 black-browed albatrosses from Bird Island (South Georgia) with GPS and immersion loggers, and 19 and 7 individuals, respectively, with stomach-temperature loggers to record ingestions, providing an in-depth picture of foraging behavior. Reduced foraging profitability (probability of prey capture and overall mass) was associated with stormy conditions, specifically strong winds and heavy rain in surface-seizing wandering albatrosses, and the probability of prey capture was reduced in strong winds in black-browed albatrosses. We show that even highly wind-adapted species may frequently encounter conditions that make foraging difficult, giving context to storm avoidance in albatrosses. VIDEO ABSTRACT.

Optimization of renewable energy-based integrated energy systems: A three-stage stochastic robust model

The integration of renewable energy into an integrated energy system (REIES) represents a promising approach to achieving clean and low-carbon energy consumption. However, the inherent uncertainty and variability of renewable energy sources and load demands present significant challenges to the operational efficiency and stability of REIES. To address these challenges, we propose a three-stage stochastic robust optimization (TRSRO) model. This model accounts for market electricity prices, source-load scenario probabilities, and output uncertainties to optimize system configurations in REIES. It also includes the optimization of power exchanges with the regional grid and strategic operational scheduling. Initial scenarios of uncertainty variables are generated using the spectral normalized conditional Wasserstein generative adversarial network (SNCWGAN), forming polyhedral uncertainty sets. Comprehensive norm constraints are then applied to capture probability distribution uncertainties within these sets. To improve the efficiency of solving the model, we introduce a two-layer column constraint generation algorithm, considering variable alternate iterations (TLCCG-VAI). The results demonstrate that the proposed method can achieve a 12.16 % reduction in total cost compared to the baseline method. Furthermore, the TLCCG-VAI algorithm reduces runtime by 82.97 % while maintaining the same level of solution accuracy.

Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean

Abstract The West Indies is considered a biodiversity hotspot and a priority for ecological conservation efforts. Understanding how environmental conditions influence survival of resident avifauna is an important information need given the predicted increases of drought and frequency and intensity of severe storms in the region. Throughout much of the Caribbean, Coereba flaveola (Bananaquit) are widespread and abundant, traits that may facilitate understanding their response to environmental changes in the region. We used a 10-yr capture–mark–recapture data set to examine C. flaveola survival, recruitment, population growth, and age structure in context of monthly and seasonal precipitation and temperatures, drought conditions, and occurrence and intensity of storm events. Our models suggested wing length, occurrence of storms, and drought all influenced survival. Both the incidence of storms and drier than average conditions in the preceding wet season (April–June) decreased survival. Sex of bird and net hours influenced capture probability, but weather influences on recruitment were equivocal. During non-storm years, mean population growth was stable at 1.019 (95% CI: 0.962, 1.098), but dropped to 0.843 (95% CI: 0.795, 0.846) in storm years. Increasing frequency of storms, such as back-to-back years, would likely push the growth rate lower. A protracted pattern of increased storm frequency, especially if coupled with a subsequent drought during the wet season, may lead to localized extirpations or strongly reduced populations.

Lost in space and time: robust demography and enhanced resilience buffer adverse environmental effects in a highly isolated and sedentary pre-pleistocene landscape vertebrate

BackgroundFew animal populations have been studied under the framework of the OCBIL theory, which addresses the ecology and evolution of biodiversity on old climatically buffered infertile landscapes. Available genetic data challenge the low connectivity and high genetic differentiation predicted for isolated tepui-summit vertebrate communities, suggesting potential dispersal among summits. However, the OCBIL theory posits reduced dispersibility, enhanced resilience to habitat fragmentation and inbreeding due to small populations. We tested these hypotheses by conducting the first analytic evaluation of the spatial ecology and population biology of a tepui-summit vertebrate at multiple spatial scales.ResultsWe used harmonic radar tracking (100 individuals/448 points of contact) and capture-mark-recapture data (596 individuals captured/52 recaptured) to reveal the temporal niche, microhabitat use, population size, and dispersal abilities of the tepui-summit endemic toad Oreophrynella quelchii on Roraima-tepui. Abundance was determined using a closed population model incorporating sources of variation in capture probability. We tested the relative influence of biotic and abiotic variables on distances moved through model selection. Our data indicate that the population size of O. quelchii is remarkably large (ca. 12 million individuals), with strong seasonal demographic fluctuations. Ecology and observed limited spatial movements challenge the likelihood of active dispersal among tepui tops in this species. Our results are counter to those predicted by the available genetic data but support two hypotheses of the OCBIL theory: reduced dispersibility and enhanced resilience. However, they do not support the expectation of a small refugial population size.ConclusionWe postulate that the insular, hostile tepui-summit environment tends to produce robust demographic populations, likely to buffer stochastic adverse environmental effects, rather than diversity, as observed in much younger post-Pleistocene Neotropical landscapes. Our results draw attention to the value of faunal studies using an OCBIL framework to better understand the ecology and evolution of this unique biota worldwide.

Capture behavior of self-propelled particles into a hexatic ordering obstacle

Abstract Computer simulations are utilized to investigate the dynamic behavior of self-propelled particles (SPPs) within a complex obstacle environment. The findings reveal that SPPs exhibit three distinct aggregation states within the obstacle, each contingent on specific conditions. A phase diagram outlining the aggregation states concerning self-propulsion conditions is presented. The results illustrate a transition of SPPs from a dispersion state to a transition state as persistence time increases within the obstacle. Conversely, as the driving strength increases, self-propelled particles shift towards a cluster state. A systematic exploration of the interplay between driving strength, persistence time, and matching degree on the dynamic behavior of self-propelled particles is conducted. Furthermore, an analysis is performed on the spatial distribution of SPPs along the y-axis, capture rate, maximum capture probability, and mean-square displacement. The insights gained from this research make valuable contributions to understanding the capture and collection of active particles.

European eel (Anguilla anguilla) survival modeling based on a 22-year capture-mark-recapture survey of a Mediterranean subpopulation.

Since the 1980s, the European eel (Anguilla anguilla) has declined by over 90% in recruitment across its European and North African distribution area. This diadromous fish spawns at sea and migrates into continental waters, where it grows for three to more than 30 years, depending on habitat conditions and location. During their growth, different habitat use tactics can locally influence the life-history traits of eels, including their survival rates. Thus, the spatio-temporal dimension of this species is crucial for management. Based on a rare Mediterranean long-term survey of more than 20 years (2001-2022) in an artificial drainage canal connected to a vast brackish lagoon (the Vaccarès lagoon), we aimed to study the dynamics of one subpopulation's life-history traits. We used Bayesian multistate capture-mark-recapture (CMR) models to assess the temporal variability in survival and abundance at both seasonal and inter-annual scales, considering life-stage structure. High survival rates and low detection probabilities were found for the undifferentiated and female yellow stages. In contrast, female silver eels exhibited lower survival rates and higher capture probabilities. Estimating detection probabilities and survival rates enabled accurate assessment of relative abundance across different life stages and time periods. Our findings indicated a substantial decrease in the abundance of undifferentiated and female yellow eels in the early 2000s, whereas the abundance of female silver eels remained consistently low yet stable throughout the study period. Considering the life stage seemed essential to study the dynamics of the eel during its continental growing period. The present results will provide key elements to propose and implement suitable sustainable environmental management strategies for eel conservation.

Advancing the understanding of spearfisher‐fish behavioural interactions and its management implications

Abstract Fish behaviour is intimately linked to fishing catchability. Measurements of fish behaviour may provide quantitative indicators that inform about the impact of fishing pressure and help design effective management strategies. The implications of spearfishing pressure on fish behaviour have mainly been characterized using single quantitative indicators such as flight initiation distance (FID), which provide incomplete views of spearfisher‐fish behavioural interactions. We used an integrative approach to advance the understanding of spearfisher‐fish behavioural interactions by complementing FID estimates with post‐flight responses (i.e. individual fish behaviour after fleeing), and the decreasing probability to catch a fish at increasing distance from a speargun. We first collected empirical observations of white seabream (Diplodus sargus) FID and post‐flight behaviour in response to an approaching human (spearfisher or snorkeler) inside and outside marine protected areas. We then combined these observations with simulations based on an innovative model representing how catchability changes during a spearfisher‐fish behavioural interaction. Empirical results showed that the likelihood of a still‐vulnerable post‐flight response after fleeing was inversely related to increasing exposure to spearfishers. This demonstrates that post‐flight response can be used as an indicator of spearfishing pressure. Moreover, post‐flight responses provided complementary information to that provided by FID, suggesting that these two indicators should be integrated for a holistic view of spearfishing‐fish interactions, such as in the model and simulations presented here. The simulations demonstrated that: (i) accounting for post‐flight responses may increase likelihood of approach by spearfisher within speargun range by up to 20%; and (ii) accounting for post‐flight responses and decreasing probability of capture with increasing distance from speargun drastically reduces estimates of likelihood of capture of white seabream at minimum catch length limit outside marine protected areas compared with using FID as single indicator of catchability. Synthesis and applications. First, integrating flight initiation distance (FID) measurement with post‐flight responses provides a more realistic indicator to measure fish behavioural reaction to spearfishing pressure. Second, the model presented here showed that spearfishing mortality may drastically decrease when accounting for both prey behaviour (i.e. FID and post‐flight responses) and spearfishers effectiveness (i.e. probability to catch a fish at increasing distance from a speargun). This must be considered to understand population dynamics and potential changes in catchability when spearfishing is managed through temporal restrictions (e.g. seasonal or periodic closures).

Model for random internalization of nanoparticles by cells.

We propose a stochastic model for the internalization of nanoparticles by cells formulating cellular uptake as a compound Poisson process with a random probability of success. This is an alternative approach to the one presented by Rees etal. [Nat. Commun. 10, 2341 (2019)2041-172310.1038/s41467-018-07882-8] who explained overdispersion in nanoparticle uptake and associated negative binomial distribution by considering a Poisson distribution for particle arrival and a gamma-distributed cell area. In our stochastic model, the formation of new pits is represented by the Poisson process, whereas the capturing process and the population heterogeneity are described by a random Bernoulli process with a beta-distributed probability of success. The random probability of success generates ensemble-averaged conditional transition probabilities that increase with the number of newly formed pits (self-reinforcement). As a result, an ensemble-averaged nanoparticle uptake can be represented as a Polya process. We derive an explicit formula for the distribution of the random number of pits containing nanoparticles. In the limit of the fast nucleation and low probability of nanoparticle capture, we find the negative binomial distribution.

A Modeling Framework for Quantifying Spatial Recruitment Dynamics Using Abundance Estimation and Sibship Analysis

Quantifying recruitment at the sibling group offers a powerful methodology for understanding density-dependent and environmental drivers of recruitment. We propose a modeling framework that combines sibship and abundance estimation datasets to estimate mean sibling group size, sibling group size process error, environmental and density-dependent effects on sibling group size, dispersal, and mortality rate. Geographic states in the model consist of discrete habitat patches connected via dispersal. Simulations were used to investigate the influence of sampling processes and sibling group size on parameter estimation within our modeling framework. Mean sibling-group size, environmental effects on recruitment, and dispersal rate among habitat patches were estimated with high accuracy under a wide range of sampling conditions, including imprecise out-of-model estimates of capture probability and subsampling both within and among habitat patches. Density-dependent effects on recruitment and process error tended to be estimated with lower accuracy, though accuracy improved as sibling group size or sampling intensity increased. The main contribution of this research is a flexible quantitative modeling framework for parameterizing mechanistic models of recruitment dynamics with empirical sibship data.

Full-dimensional coupled-channel statistical approach to atom-triatom systems and applications to H/D + O3 reaction.

The statistical quantum model (SQM), which assumes that the reactivity is controlled by entrance/exit channel quantum capture probabilities, is well suited for chemical reactions with a long-lived intermediate complex. In this work, a time-independent coupled-channel implementation of the SQM approach is developed for atom-triatom systems in full dimensionality. As SQM treats the capture dynamics quantum mechanically, it is capable of handling quantum effects such as tunneling. A detailed study of the H/D + O3 capture dynamics was performed by applying the newly developed SQM method on an accurate global potential energy surface. Agreement with previous ring polymer molecular dynamics (RPMD) results on the same potential energy surface is excellent except for very low temperatures. The SQM results are also in reasonably good agreement with available experimental rate coefficients. The strong H/D kinetic isotope effect underscores the dominant role of quantum tunneling under an entrance channel barrier at low temperatures.