Removal modelling in ecology: A systematic review

Rivera, Óscar Rodríguez de; McCrea, Rachel S.

doi:10.1371/journal.pone.0229965

Cited by 9 publications

(10 citation statements)

References 145 publications

(213 reference statements)

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“…We permutated our datasets for each plot 10,000 times, that is, we randomly changed the surveyor order and, therefore, the positions of zeros and ones within the capture histories of individual hibernacula. For each permutated dataset, we then calculated a linear regression model with the records of the n th surveyor as dependent and the number of previously detected hibernacula as explanatory variables (Leslie & Davis, 1939 ; Rodriguez de Rivera & McCrea, 2021 ). Finally, we determined the median estimated population size and 95% confidence intervals from the 10,000 permutations.…”

Section: Methodsmentioning

confidence: 99%

“…One approach to determine the observer‐specific detection probability might be through repeated sampling within the same population, that is, through removal or capture‐mark‐recapture (CMR) experiments. These approaches explicitly estimate detection probability and, therefore, allow the quantification of species abundance (Birch et al, 2021 ; Haddad et al, 2008 ; Rodriguez de Rivera & McCrea, 2021 ). Removal and CMR appear promising for the quantitative study of pre‐imaginal butterfly stages, although both approaches have been largely ignored in this regard, so far (but see Weseloh, 1985 ).…”

Section: Introductionmentioning

confidence: 99%

“…When animals are trapped with a constant sampling effort and removed from the study region over multiple occasions, the number of captured individuals will likely decrease in later capture occasions as long as no birth nor immigration into the population occurs. The rate of decrease in the number of captured individuals can provide an estimate for the size of a population, known as the “removal method” (Leslie & Davis, 1939 ; Moran, 1951 ; Rodriguez de Rivera & McCrea, 2021 ; Zippin, 1958 ). Estimating animal abundance with the removal method is particularly suitable in cases where individuals are routinely removed from a study region, for example, fisheries or the management of unwanted/invasive species (Cowx, 1983 ; Davis et al, 2016 ; Leslie & Davis, 1939 ; Yuksel et al, 2013 ; but see Schori et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…These approaches explicitly estimate detection probability and, therefore, allow the quantification of species abundance (Birch et al, 2021;Haddad et al, 2008;Rodriguez de Rivera & McCrea, 2021). Removal and CMR appear promising for the quantitative study of pre-imaginal butterfly stages, although both approaches have been largely ignored in this regard, so far (but see Weseloh, 1985).…”

Section: Introductionmentioning

confidence: 99%

“…Closed population capture‐mark‐recapture models (i.e., without removal), first described by Petersen (1896)/Lincoln (1930) and Schnabel (1938), are among the most fundamental approaches for estimating animal abundance. Like removal models, closed population CMR is based on three important assumptions: (1) The absence of births and deaths (demographic closure), (2) no movements across the borders of the study area (geographic closure), and (3) equal catchability of all individuals (Conroy & Carroll, 2009; Rodriguez de Rivera & McCrea, 2021). Closed population CMR surveys include at least two different occasions of species recording.…”

Section: Introductionmentioning

confidence: 99%

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Multi‐surveyor capture‐mark‐recapture as a powerful tool for butterfly population monitoring in the pre‐imaginal stage

Hinneberg

Döring²,

Hermann

et al. 2022

Ecology and Evolution

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For many elusive insect species, which are difficult to cover by standard monitoring schemes, innovative survey methods are needed to gain robust data on abundance and population trends. We suggest a monitoring of overwintering larvae for the endangered nymphalid butterfly Limenitis reducta . We tested different removal and capture‐mark‐recapture (CMR) approaches in a field study in the “Alb‐Donau” region, Germany. Classical removal and CMR studies require movement of the organisms under study, but in our approach, we replaced movement of the study organisms by random movement of multiple different surveyors. We tested the validity of the approach by comparing detection frequencies from our field data with simulated detections. Our results indicate that multi‐surveyor removal/CMR techniques are suitable for estimating abundance of overwintering L. reducta larvae. Depending on surveyor experience, the average detection probability ranged between 16% for novices and 35% for experts. The uncertainty of population estimates increased with a decrease in personnel expenditure. Estimated larval densities on a spruce clear‐cut varied between one and three individuals per 100 m 2 , probably related to habitat conditions. We suggest a CMR approach with three to four trained surveyors for the monitoring of L. reducta populations in the overwintering stage. Compared with previous sampling methods, our approach is a powerful tool with clear advantages: long survey period, estimates of the absolute population size accompanied by uncertainty measures, and estimates of overwinter mortality. The proposed method can be adapted and used for several different butterfly species, other insect taxa with specific immobile life stages, and some sessile organisms, for example, elusive plants, fungi, or corals.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi‐surveyor capture‐mark‐recapture as a powerful tool for butterfly population monitoring in the pre‐imaginal stage

Hinneberg

Döring²,

Hermann

et al. 2022

Ecology and Evolution

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Open removal models with temporary emigration and population dynamics to inform invasive animal management

Udell

Martin

Romagosa

et al. 2022

Ecology and Evolution

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Removal sampling data are the primary source of monitoring information for many populations (e.g., invasive species, fisheries). Population dynamics, temporary emigration, and imperfect detection are common sources of variation in monitoring data and are key parameters for informing management. We developed two open robustdesign removal models for simultaneously modeling population dynamics, temporary emigration, and imperfect detection: a random walk linear trend model (estimable without ancillary information), and a 2-age class informed population model (InfoPM, closely related to integrated population models) that incorporated prior information for age-structured vital rates and relative juvenile availability. We applied both models to multiyear, removal trapping time-series of a large invasive lizard (Argentine black and white tegu, Salvator merianae) in three management areas of South Florida to evaluate the effectiveness of management programs. Although estimates of the two models were similar, the InfoPMs generally returned more precise estimates, partitioned dynamics into births, deaths, net migration, and provided a decision support tool to predict population dynamics under different effort scenarios while accounting for uncertainty. Trends in tegu superpopulation abundance estimates were increasing in two management areas despite generally high removal rates. However, tegu abundance appeared to decline in the Core management area, where trapping density was the highest and immigration the lowest. Finally, comparing abundance predictions of no-removal scenarios to those estimated in each management area suggested significant population reductions due to management. These results suggest that local tegu population control via systematic trapping may be feasible with high enough trap density and limited immigration; and highlights the value of these trapping programs. We provided the first estimates of tegu abundance, capture probabilities, and population dynamics, which is critical for effective management. Furthermore, our models are applicable to a wide range of monitoring programs (e.g., carcass recovery or removal point-counts).

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Removal and Change-in-Ratio Methods

Seber,

Schofield

2023

Statistics for Biology and Health

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Removal modelling in ecology: A systematic review

Cited by 9 publications

References 145 publications

Multi‐surveyor capture‐mark‐recapture as a powerful tool for butterfly population monitoring in the pre‐imaginal stage

Multi‐surveyor capture‐mark‐recapture as a powerful tool for butterfly population monitoring in the pre‐imaginal stage

Open removal models with temporary emigration and population dynamics to inform invasive animal management

Removal and Change-in-Ratio Methods

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