Abstract:The restoration of habitats degraded by industrial disturbance is essential for achieving conservation objectives in disturbed landscapes. In boreal ecosystems, disturbances from seismic exploration lines and other linear features have adversely affected biodiversity, most notably leading to declines in threatened woodland caribou. Large‐scale restoration of disturbed habitats is needed, yet empirical assessments of restoration effectiveness on wildlife communities remain rare.
We used 73 camera trap deploymen… Show more
“…Idiosyncratic species responses to landscape disturbance are a common thread across taxa in monitoring studies from the OSR, and mammal monitoring work has demonstrated that consideration of a complexity of covariates may be required when assessing the impacts of landscape disturbance. For example, various levels of seismic line regeneration, snow cover, human use, line density, and line width can differentially alter the magnitude and direction of occupancy rates for different species (Tattersall et al, 2020a ), and the effect of these covariates likely changes at different temporal and spatial scales (Beirne et al, 2021 ; Tattersall et al, 2020b ). Consequently, while species‐level focused monitoring may be useful for indicator or focal species, this approach may be too resource‐intensive for widespread application.…”
“…Idiosyncratic species responses to landscape disturbance are a common thread across taxa in monitoring studies from the OSR, and mammal monitoring work has demonstrated that consideration of a complexity of covariates may be required when assessing the impacts of landscape disturbance. For example, various levels of seismic line regeneration, snow cover, human use, line density, and line width can differentially alter the magnitude and direction of occupancy rates for different species (Tattersall et al, 2020a ), and the effect of these covariates likely changes at different temporal and spatial scales (Beirne et al, 2021 ; Tattersall et al, 2020b ). Consequently, while species‐level focused monitoring may be useful for indicator or focal species, this approach may be too resource‐intensive for widespread application.…”
“…Sixty CT sites were on seismic lines and 13 were off of seismic lines. On‐line sites were further stratified by restoration category (treated, regenerating, unrestored control, human use; details in Beirne et al, 2021 ). In the Richardson study area, CTs were deployed in November 2017 and 2018 at 57 sites stratified by in (27) vs. out (30) of burned area and on (18) vs. off (39) of a seismic line, with year‐round sampling continuing until November 2019 (Burgar & Burton, 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…At each CT site, we quantified line of sight (LOS) as an indicator of habitat openness, under the assumption that ungulates would be less likely to use more open habitats with greater visibility, where the risk of predation may be higher (Dickie et al, 2020 ). Previous analysis showed that LOS was a useful descriptor of variation in linear feature conditions with respect to wildlife use in the Algar landscape (Beirne et al, 2021 ). We measured LOS (in m) along the seismic line or game trail perpendicular to the camera.…”
Section: Methodsmentioning
confidence: 99%
“…The direct and indirect effects of predation are key drivers of dynamics for caribou and their interacting species, as they are in many other conservation contexts (Gaynor et al, 2021 ; Serrouya et al, 2015 ). Management efforts to recover caribou have focused primarily on reducing predation risk by reducing predator abundance (Serrouya et al, 2019 ) and restoring habitat to reduce predator movements (Beirne et al, 2021 ; Tattersall et al, 2020 ). If successful, such efforts will alter the “landscape of fear” for prey species, leading to changes in risk‐related prey behaviors (Laundré et al, 2010 ).…”
Human disturbance directly affects animal populations and communities, but indirect effects of disturbance on species behaviors are less well understood. For instance, disturbance may alter predator activity and cause knock‐on effects to predator‐sensitive foraging in prey. Camera traps provide an emerging opportunity to investigate such disturbance‐mediated impacts to animal behaviors across multiple scales. We used camera trap data to test predictions about predator‐sensitive behavior in three ungulate species (caribou
Rangifer tarandus
; white‐tailed deer,
Odocoileus virginianus
; moose,
Alces alces
) across two western boreal forest landscapes varying in disturbance. We quantified behavior as the number of camera trap photos per detection event and tested its relationship to inferred human‐mediated predation risk between a landscape with greater industrial disturbance and predator activity and a “control” landscape with lower human and predator activity. We also assessed the finer‐scale influence on behavior of variation in predation risk (relative to habitat variation) across camera sites within the more disturbed landscape. We predicted that animals in areas with greater predation risk (e.g., more wolf activity, less cover) would travel faster past cameras and generate fewer photos per detection event, while animals in areas with less predation risk would linger (rest, forage, investigate), generating more photos per event. Our predictions were supported at the landscape‐level, as caribou and moose had more photos per event in the control landscape where disturbance‐mediated predation risk was lower. At a finer‐scale within the disturbed landscape, no prey species showed a significant behavioral response to wolf activity, but the number of photos per event decreased for white‐tailed deer with increasing line of sight (m) along seismic lines (i.e., decreasing visual cover), consistent with a predator‐sensitive response. The presence of juveniles was associated with shorter behavioral events for caribou and moose, suggesting greater predator sensitivity for females with calves. Only moose demonstrated a positive behavioral association (i.e., longer events) with vegetation productivity (16‐day NDVI), suggesting that for other species bottom‐up influences of forage availability were generally weaker than top‐down influences from predation risk. Behavioral insights can be gleaned from camera trap surveys and provide complementary information about animal responses to predation risk, and thus about the indirect impacts of human disturbances on predator–prey interactions.
“…Camera-trap research spans the ecological hierarchy, with applications to animal behavior (Caravaggi et al, 2017(Caravaggi et al, , 2020 such as diel activity (Frey et al, 2017;Rowcliffe et al, 2014), populations (Bischof et al, 2020;Gardner et al, 2010), species' distributions (Rich et al, 2017;Tobler et al, 2015), and wildlife communities (Ahumada et al, 2011;Wittische et al, 2021). With adequate inferential logic and analysis, more complex ecological processes such as species interactions can also be discerned (Beirne et al, 2021;Clare et al, 2016;Niedballa et al, 2019). The field is rich for the planting seeds of new ideas.…”
Ecological research is undergoing a substantial transformation. Camera trapping-"capturing" a photograph remotely, allowing observation of wildlife separately from the observer-has been around for over a century. However, it emerged as a substantive mode of sampling wildlife occurrence only about three decades ago (Kucera & Barrett, 2011;O'Connell et al., 2011) and is now rapidly improving and innovating, changing the face of wildlife ecology research (Burton et al., 2015). With repeated sampling made possible across space and time, limited only by logistics and resources, wildlife observations can be gathered and analyzed at unprecedented spatial and temporal scales.With the engineering of relatively inexpensive camera models that do not require costly support systems (such as those needed for satellite telemetry), camera traps also serve to democratize research.Camera trapping has consequently spread across the global south
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