Simultaneous monitoring of vegetation dynamics and wildlife activity with camera traps to assess habitat change DOI Creative Commons
Catherine Sun, Christopher Beirne, Joanna M. Burgar

et al.

Remote Sensing in Ecology and Conservation, Journal Year: 2021, Volume and Issue: 7(4), P. 666 - 684

Published: June 14, 2021

Abstract Vegetation phenology and productivity drive resource use by wildlife. dynamics also reveal patterns of habitat disturbance recovery. Monitoring these fine‐scale vegetation over large spatiotemporal extents can be difficult, but camera traps (CTs) commonly used to survey wildlife populations collect data on local conditions. We CTs (n = 73) from 2016 2019 assess impacts change in a boreal landscape northern Canada, where seismic lines for petroleum exploration disturbed prompted restoration efforts. First, we quantified CTs, comparing them satellite‐based estimates that are typically monitor at broad spatial scales. then understory estimated CT time‐lapse images recovery lines. Finally, related with the three species: sandhill cranes Grus canadensis , woodland caribou Rangifer tarandus white‐tailed deer Odocoileus virginianus . provided unique insight into were different signals measured satellites, temporally inconsistent even some negative correlations between satellite metrics. found indication had received treatment, more similar undisturbed than did not receive treatment. inferences about activity resources, which approaches using failed detect. Wildlife tracked phenology, always increase weekly, 16‐day, or annual intervals. Instead, associations depended species, temporal scale, Given widespread growing terrestrial wildlife, recommend their simultaneously conditions better understand mechanisms govern changing environments.

Language: Английский

Influences of landscape change and winter severity on invasive ungulate persistence in the Nearctic boreal forest DOI Creative Commons
Jason T. Fisher,

A. Cole Burton,

Luke Nolan

et al.

Scientific Reports, Journal Year: 2020, Volume and Issue: 10(1)

Published: May 26, 2020

Abstract Climate and landscape change are drivers of species range shifts biodiversity loss; understanding how they facilitate sustain invasions has been empirically challenging. Winter severity is decreasing with climate a predicted mechanism contemporary future shifts. For example, white-tailed deer ( Odocoileus virginianus ) expansion continental phenomenon across the Nearctic ecological consequences for entire biotic communities. We capitalized on recent temporal variation in winter to examine spatial dynamics invasive distribution boreal forest. hypothesized would decrease severe winters reflecting historical constraints, remain more static moderate climate. Further, we that regardless severity, persist be best explained by early seral forage subsidies from extensive via resource extraction. applied dynamic occupancy models time, space, data 62 camera traps sampled over 3 years northeastern Alberta, Canada. Deer shrank markedly but rebounded each spring severity. was anthropogenic features assumed provide vegetation subsidy, accounting natural landcover. conclude northern forest influenced both space through latter expected further change. contend combined influence these two likely pervasive many species, changing resources offsetting or augmenting physiological limitations.

Language: Английский

Citations

39
The Debate About Bait: A Red Herring in Wildlife Research DOI

Frances E. C. Stewart,

John P. Volpe, Jason T. Fisher

et al.

Journal of Wildlife Management, Journal Year: 2019, Volume and Issue: 83(4), P. 985 - 992

Published: May 1, 2019

ABSTRACT The use of bait (or attractants) to lure animals a sampling site is common in wildlife research and important for optimizing species detection rates. effect on animal movement space‐use, however, contested, fueled by concerns may affect increase residency time. If founded, bias parameter estimates from density, distribution, resource selection, or behavioral models, produce spurious ecological inferences, skew resulting management recommendations. To test whether varies with proximity bait, we used high‐resolution global positioning system telemetry data 10 fishers ( Pekania pennanti ), temporally paired 64 baited camera traps, quantify the individual population metrics. Although appeared have significant correlative 1‐hour segments, landscape characteristics had an 1.7 times greater, where proportion mixed forest cultivation explained majority variability movements. We contend that maximizing probability controlling modeling local‐scale could more consideration than which eclipsed differences incurred natural habitat heterogeneity. Failing maximize obscure modest potentially presented attractants, inference. © 2019 Wildlife Society

Language: Английский

Citations

37
Quantifying imperfect camera-trap detection probabilities: implications for density modelling DOI
Trevor McIntyre, Tshepiso L. Majelantle, David J. Slip

et al.

Wildlife Research, Journal Year: 2020, Volume and Issue: 47(2), P. 177 - 177

Published: Jan. 1, 2020

Abstract ContextData obtained from camera traps are increasingly used to inform various population-level models. Although acknowledged, imperfect detection probabilities within camera-trap zones rarely taken into account when modelling animal densities. AimsWe aimed identify parameters influencing probabilities, and quantify their relative impacts, as well explore the downstream implications of on population-density modelling. MethodsWe modelled relationships between a standard model (n=35) remotely operated animal-shaped soft toy series likely influence it. These included distance animals traps, speed, deployment height, ambient temperature (as proxy for background surface temperatures) temperature. We then this detection-probability rates subsequent models, being, in case, estimates random encounter density models known simulation. Key resultsDetection mostly varied predictably relation measured parameters, decreased with an increasing speeds movement, heights deployments. Increased differences were associated increased probabilities. Importantly, our results showed substantial inter-camera (of same model) variability Resulting outputs suggested consistent systematic underestimation true population densities not taking account. ConclusionsImperfect, individually variable, inside can compromise resulting estimates. ImplicationsWe propose simple calibration approach individual before field encourage researchers actively estimate performance inclusion approaches.

Language: Английский

Citations

37
Listening and watching: Do camera traps or acoustic sensors more efficiently detect wild chimpanzees in an open habitat? DOI
Anne‐Sophie Crunchant, David L. Borchers, Hjalmar S. Kühl

et al.

Methods in Ecology and Evolution, Journal Year: 2020, Volume and Issue: 11(4), P. 542 - 552

Published: Jan. 31, 2020

Abstract With one million animal species at risk of extinction, there is an urgent need to regularly monitor threatened species. However, in practice this challenging, especially with wide‐ranging, elusive and cryptic or those that occur low density. Here we compare two non‐invasive methods, passive acoustic monitoring ( n = 12) camera trapping 53), detect chimpanzees Pan troglodytes a savanna‐woodland mosaic habitat the Issa Valley, Tanzania. occupancy modelling evaluate efficacy each method, using estimated number sampling days needed establish chimpanzee absence 95% probability, as our measure efficacy. Passive was more efficient than detecting wild chimpanzees. Detectability varied over seasons, likely due social ecological factors influence party size vocalization rate. The method can infer less 10 recordings field during late dry season, period highest detectability, which five times faster visual method. Synthesis applications . Despite some technical limitations, demonstrate powerful tool for monitoring. Its applicability evaluating presence/absence, but not exclusively loud call species, such cetaceans, elephants, gibbons provides way populations inform conservation plans mediate species‐loss.

Language: Английский

Citations

34
Simultaneous monitoring of vegetation dynamics and wildlife activity with camera traps to assess habitat change DOI Creative Commons
Catherine Sun, Christopher Beirne, Joanna M. Burgar

et al.

Remote Sensing in Ecology and Conservation, Journal Year: 2021, Volume and Issue: 7(4), P. 666 - 684

Published: June 14, 2021

Abstract Vegetation phenology and productivity drive resource use by wildlife. dynamics also reveal patterns of habitat disturbance recovery. Monitoring these fine‐scale vegetation over large spatiotemporal extents can be difficult, but camera traps (CTs) commonly used to survey wildlife populations collect data on local conditions. We CTs (n = 73) from 2016 2019 assess impacts change in a boreal landscape northern Canada, where seismic lines for petroleum exploration disturbed prompted restoration efforts. First, we quantified CTs, comparing them satellite‐based estimates that are typically monitor at broad spatial scales. then understory estimated CT time‐lapse images recovery lines. Finally, related with the three species: sandhill cranes Grus canadensis , woodland caribou Rangifer tarandus white‐tailed deer Odocoileus virginianus . provided unique insight into were different signals measured satellites, temporally inconsistent even some negative correlations between satellite metrics. found indication had received treatment, more similar undisturbed than did not receive treatment. inferences about activity resources, which approaches using failed detect. Wildlife tracked phenology, always increase weekly, 16‐day, or annual intervals. Instead, associations depended species, temporal scale, Given widespread growing terrestrial wildlife, recommend their simultaneously conditions better understand mechanisms govern changing environments.

Language: Английский

Citations

29