The effects of weather conditions on dispersal behaviour of free‐ranging lizards (<i><scp>T</scp>iliqua</i>,<scp> S</scp>cincidae) in tropical <scp>A</scp>ustralia

Price-Rees, Samantha J.; Lindström, Tom; Brown, Gregory P.; Shine, Richard

doi:10.1111/1365-2435.12189

Cited by 9 publications

(8 citation statements)

References 61 publications

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“…; Price‐Rees et al . ), for example density‐dependent habitat selection can lead to movement among patches to balance fitness rewards leading to an ideal‐free or despotic distribution (Fretwell & Lucas ; Morris ; Fortin, Morris & McLoughlin ).…”

Section: Relating Movement To Selection and Resource Usementioning

confidence: 99%

REVIEW: Can habitat selection predict abundance?

Boyce

Johnson

Merrill

et al. 2015

Journal of Animal Ecology

118

124

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Summary 1.Habitats have substantial influence on the distribution and abundance of animals. Animals' selective movement yields their habitat use. Animals generally are more abundant in habitats that are selected most strongly. 2. Models of habitat selection can be used to distribute animals on the landscape or their distribution can be modelled based on data of habitat use, occupancy, intensity of use or counts of animals. When the population is at carrying capacity or in an ideal-free distribution, habitat selection and related metrics of habitat use can be used to estimate abundance. 3. If the population is not at equilibrium, models have the flexibility to incorporate density into models of habitat selection; but abundance might be influenced by factors influencing fitness that are not directly related to habitat thereby compromising the use of habitat-based models for predicting population size. 4. Scale and domain of the sampling frame, both in time and space, are crucial considerations limiting application of these models. Ultimately, identifying reliable models for predicting abundance from habitat data requires an understanding of the mechanisms underlying population regulation and limitation.

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Section: Relating Movement To Selection and Resource Usementioning

confidence: 99%

REVIEW: Can habitat selection predict abundance?

Boyce

Johnson

Merrill

et al. 2015

Journal of Animal Ecology

118

124

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“…This pattern of positive autocorrelation among movements was attributed to bouts of foraging interspersed with periods of inactivity to allow digestion [ 35 ]. Such patterns may be common among snakes, which typically ingest relatively large meals, but has also been demonstrated for other ectoterms such as cane toads [ 36 ] and blue-tongue skinks [ 37 ] tracked in the same area.…”

Section: Discussionmentioning

confidence: 82%

Identifying the time scale of synchronous movement: a study on tropical snakes

et al. 2015

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BackgroundIndividual movement is critical to organismal fitness and also influences broader population processes such as demographic stochasticity and gene flow. Climatic change and habitat fragmentation render the drivers of individual movement especially critical to understand. Rates of movement of free-ranging animals through the landscape are influenced both by intrinsic attributes of an organism (e.g., size, body condition, age), and by external forces (e.g., weather, predation risk). Statistical modelling can clarify the relative importance of those processes, because externally-imposed pressures should generate synchronous displacements among individuals within a population, whereas intrinsic factors should generate consistency through time within each individual. External and intrinsic factors may vary in importance at different time scales.ResultsIn this study we focused on daily displacement of an ambush-foraging snake from tropical Australia (the Northern Death Adder Acanthophis praelongus), based on a radiotelemetric study. We used a mixture of spectral representation and Bayesian inference to study synchrony in snake displacement by phase shift analysis. We further studied autocorrelation in fluctuations of displacement distances as “one over f noise”. Displacement distances were positively autocorrelated with all considered noise colour parameters estimated as >0. We show how the methodology can reveal time scales of particular interest for synchrony and found that for the analysed data, synchrony was only present at time scales above approximately three weeks.ConclusionWe conclude that the spectral representation combined with Bayesian inference is a promising approach for analysis of movement data. Applying the framework to telemetry data of A. praelongus, we were able to identify a cut-off time scale above which we found support for synchrony, thus revealing a time scale where global external drivers have a larger impact on the movement behaviour. Our results suggest that for the considered study period, movement at shorter time scales was primarily driven by factors at the individual level; daily fluctuations in weather conditions had little effect on snake movement.Electronic supplementary materialThe online version of this article (doi:10.1186/s40462-015-0038-5) contains supplementary material, which is available to authorized users.

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“…Yet, ordinarily these costs would be part of the overall survey liability. Additionally, detections of squamates can be impacted by weather [36]. Read and Moseby [37] advised that eight sample days are required when surveying squamates with pitfall traps to ameliorate weather effects.…”

Section: Discussionmentioning

confidence: 99%

Camera-traps are a cost-effective method for surveying terrestrial squamates: A comparison with artificial refuges and pitfall traps

et al. 2020

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IntroductionFundamental data on the distributions, diversity, and threat status of terrestrial snakes and lizards (hereafter squamates) is limited. This is due to the cryptic nature of species in this faunal group, and to limitations in the effectiveness of the survey methods used to detect these species. Camera-traps are a useful tool for detecting numerous vertebrate species, yet their use for detecting squamates has been limited. Here, we apply recent methodological advancements in camera-trapping and assessed the utility of camera-traps for inventorying a squamate assemblage by comparing camera-trapping survey results with two widely used labour-intensive methods: artificial refuges and pitfall traps. MethodsWe conducted a 74-day survey using camera-traps and, concurrently, four by four-day surveys using labour-intensive methods. Given the duration and three detection methods, we compared seven variants of survey protocol, including using each method alone or all methods simultaneously. We compared both the effectiveness and cost-effectiveness of each survey protocol by estimating the number of species detected at the transect level, and by calculating the costs of conducting those surveys. ResultsWe found the camera-trapping survey was most cost-effective, costing 687 AUD (CI 534-912) per squamate species detected, compared with the 2975 AUD (CI 2103-4486) per squamate species detected with the labour-intensive methods. Using all methods together was less cost-effective than using camera-traps alone. Additionally, there was a 99%

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The effects of weather conditions on dispersal behaviour of free‐ranging lizards (Tiliqua, Scincidae) in tropical Australia

Cited by 9 publications

References 61 publications

REVIEW: Can habitat selection predict abundance?

REVIEW: Can habitat selection predict abundance?

Identifying the time scale of synchronous movement: a study on tropical snakes

Camera-traps are a cost-effective method for surveying terrestrial squamates: A comparison with artificial refuges and pitfall traps

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