Douglas W. Smith’s research while affiliated with National Park Service and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (21)


Behavioral responses of terrestrial mammals to COVID-19 lockdowns
  • Article
  • Full-text available

June 2023

·

2,427 Reads

·

53 Citations

Science

Marlee A Tucker

·

·

·

[...]

·

COVID-19 lockdowns in early 2020 reduced human mobility, providing an opportunity to disentangle its effects on animals from those of landscape modifications. Using GPS data, we compared movements and road avoidance of 2300 terrestrial mammals (43 species) during the lockdowns to the same period in 2019. Individual responses were variable with no change in average movements or road avoidance behavior, likely due to variable lockdown conditions. However, under strict lockdowns 10-day 95th percentile displacements increased by 73%, suggesting increased landscape permeability. Animals' 1-hour 95th percentile displacements declined by 12% and animals were 36% closer to roads in areas of high human footprint, indicating reduced avoidance during lockdowns. Overall, lockdowns rapidly altered some spatial behaviors, highlighting variable but substantial impacts of human mobility on wildlife worldwide.

Download

Conceptual figure depicting density‐dependent habitat selection (DDHS). Left column (a, b) shows how expected density could change with a habitat covariate and average population density (colour). Right column (c, d) recasts the patterns in (a) and (b) in terms of relative selection strength (RSS), the ratio of expected densities in different habitats. We calculated RSS(x1, x2) as the ratio of expected densities for a 1‐SD change in the covariate (dashed vertical lines). For our purposes, the numerator (x1) is always larger than the denominator (x2). ‘H’, ‘M’ and ‘L’ in superscript refer to high, medium and low population density. Calculating RSS across a range of average population densities (e.g. x1H/x2H, x1M/x2M, x1L/x2L) yields the RSS curve, which more clearly demonstrates DDHS. In (a), expected density is modelled with just a linear term for the covariate, and expected density increases monotonically with an increase in the covariate (positive habitat selection). In this example, RSS (slope of each line) increases with population density; this is positive DDHS (c). Alternatively, if RSS decreased with population density, this would be negative DDHS (not shown). In (b), expected density is modelled with linear and quadratic terms such that expected density peaks at an intermediate value. A narrow parabola at low density indicates stronger selection, whereas a wider parabola at high density indicates weaker selection. This example demonstrates negative DDHS but note that positive DDHS is also possible. We calculated RSS as the ratio of expected densities when the covariate is near the vertex of the parabola (x1) that is, when the habitat covariate is lower (x2). Calculating RSS across a range of population densities yields the RSS curve (d), which in this case demonstrates negative DDHS. In summary, whether a habitat covariate is modelled with solely a linear term or also includes a quadratic term, the slope of the RSS curve plotted against population density shows the pattern of DDHS.
Fitted model coefficients. Points are posterior means and bars are credible intervals (black bars: 50% credible intervals; dark grey bars: 80% credible intervals; light grey bars with end caps: 90% credible intervals). Red dashed line indicates 0 (no effect).
Changing elk selection for risk variables with predator density. Openness and roughness describe important dimensions of the wolf and cougar habitat domains, that is, those habitats where they are most likely to kill elk. The wolf habitat domain is open and smooth, whereas the cougar habitat domain is rough and more forested. Relative selection strength (RSS) for openness (top row) is the ratio of expected density when openness is 100% versus when openness is 82%, a 1 SD change in openness. (a) RSS for openness decreases with wolf density (less selection for the wolf habitat domain), whereas (b) it increases with cougar density (less selection for the cougar habitat domain). The roughness vertex (bottom row) is the value of roughness that is most strongly selected by elk, that is, the vertex of the parabola describing selection. (c) The roughness vertex shifts to rougher habitat as wolf density increases (away from the wolf habitat domain); however, (d) elk did not shift the roughness vertex in response to cougar density. In all panels, predictions were made using samples from the entire posterior distribution. Solid black lines are mean effects and shaded grey envelopes are 50%, 80% and 90% credible intervals.
Density‐dependent habitat selection for food and safety. At low density (x‐axis), relative selection strength (RSS) for a one standard deviation (1 SD) change in safety (0.5 SD of openness and 0.5 SD of roughness) is greater than the RSS for a 1 SD change in food (herbaceous biomass). At high density, this relationship flips, with a greater RSS for food than for safety. Changing average range‐wide elk density alters the main driver of elk habitat selection from safety at low density to food at high density. Solid lines are posterior mean estimates and shaded envelopes are 50%, 80% and 90% credible intervals.
Change in log‐RSS from high elk density to low elk density. Relative selection strength (RSS) is the ratio of expected density in each pixel of the landscape to the expected density in a habitat with all habitat variables held at their mean. The natural logarithm of RSS (log‐RSS) is a measure of habitat selection, with positive values indicating preference versus the mean conditions, zero indicating no preference versus the mean conditions, and negative values indicating avoidance versus the mean conditions. Here, we plot Δ log‐RSS, the difference between log‐RSS when average range‐wide elk density is high (9.3 elk/km²) versus when average range‐wide elk density is low (2.0 elk/km²). Positive values (blue‐green pixels) indicate that selection for the pixel increased as elk density decreased (the observed pattern over time), whereas negative values (brown pixels) indicate that selection for the pixel decreased as elk density decreased. All habitat variables and predator densities are held at their 2008 levels for demonstration.
Density‐dependent habitat selection alters drivers of population distribution in northern Yellowstone elk

December 2022

·

266 Reads

·

19 Citations

Ecology Letters

Although it is well established that density dependence drives changes in organismal abundance over time, relatively little is known about how density dependence affects variation in abundance over space. We tested the hypothesis that spatial trade‐offs between food and safety can change the drivers of population distribution, caused by opposing patterns of density‐dependent habitat selection (DDHS) that are predicted by the multidimensional ideal free distribution. We addressed this using winter aerial survey data of northern Yellowstone elk (Cervus canadensis) spanning four decades. Supporting our hypothesis, we found positive DDHS for food (herbaceous biomass) and negative DDHS for safety (openness and roughness), such that the primary driver of habitat selection switched from food to safety as elk density decreased from 9.3 to 2.0 elk/km². Our results demonstrate how population density can drive landscape‐level shifts in population distribution, confounding habitat selection inference and prediction and potentially affecting community‐level interactions.


Evaluating the effects of habitat condition, climate and predator density on Shiras moose demography

May 2016

·

73 Reads

·

1 Citation

Over the past two decades, populations of Shiras moose (Alces alces shirasi) in western Wyoming have declined. Recent work on the Jackson herd in northwest Wyoming suggests that the 1988 Yellowstone fires and regional drought contributed to a considerable decline in calf recruitment, which coincided with the recovery of grizzly bears (Ursus arctos horribilis) and gray wolves (Canis lupus occidentalis) to the Greater Yellowstone Ecosystem (GYE). Predation is also presumed to have contributed to declines in calf recruitment, but the relative influence of these predators has yet to be evaluated. We analyzed a time series of vital rates to identify the spatial extent and intensity at which predator density, habitat condition, and interacting abiotic factors limit population growth. We focused on neonate and winter calf survival because calves are the most vulnerable age class and because calf recruitment been shown to be one of the most important vital rates influencing population dynamics in large herbivores. Variables affecting calf survival were calculated at the seasonal home range scale from 100 individuals in the Jackson herd, and 90 individuals in an adjacent herd directly to the south, where moose are exposed to markedly lower predator density. We detected negative effects of grizzly bear density and habitat condition on neonate survival. Wolf density negatively influenced winter calf survival, but the effect was weak. Our spatial analysis of individual fitness in these two herds suggests that Shiras moose in the GYE have struggled to cope simultaneously with the effects of sub-optimal habitat conditions and predator density, highlighting the need to prioritize efforts to conserve Shiras moose as climate change continues to progress.


Evaluating the effects of habitat condition, climate and predator density on Shiras moose demography

May 2016

·

151 Reads

·

1 Citation

Over the past two decades, populations of Shiras moose (Alces alces shirasi) in western Wyoming have declined. Recent work on the Jackson herd in northwest Wyoming suggests that the 1988 Yellowstone fires and regional drought contributed to a considerable decline in calf recruitment, which coincided with the recovery of grizzly bears (Ursus arctos horribilis) and gray wolves (Canis lupus occidentalis) to the Greater Yellowstone Ecosystem (GYE). Predation is also presumed to have contributed to declines in calf recruitment, but the relative influence of these predators has yet to be evaluated. We analyzed a time series of vital rates to identify the spatial extent and intensity at which predator density, habitat condition, and interacting abiotic factors limit population growth. We focused on neonate and winter calf survival because calves are the most vulnerable age class and because calf recruitment been shown to be one of the most important vital rates influencing population dynamics in large herbivores. Variables affecting calf survival were calculated at the seasonal home range scale from 100 individuals in the Jackson herd, and 90 individuals in an adjacent herd directly to the south, where moose are exposed to markedly lower predator density. We detected negative effects of grizzly bear density and habitat condition on neonate survival. Wolf density negatively influenced winter calf survival, but the effect was weak. Our spatial analysis of individual fitness in these two herds suggests that Shiras moose in the GYE have struggled to cope simultaneously with the effects of sub-optimal habitat conditions and predator density, highlighting the need to prioritize efforts to conserve Shiras moose as climate change continues to progress.


S1 Fig

April 2016

·

16 Reads

Wolves in road packs and the probability of wolf sightings along the Denali Park Road, Alaska, USA. Cumulative count of wolves in road packs in the eastern region of Denali National Park and Preserve (grey bars) and the probability of wolf sightings along the Denali Park Road (black triangles) from 1997 to 2012. Shading indicates years with a harvest buffer zone adjacent to the park in effect. (TIF)



S3 Table

April 2016

·

11 Reads

Summary of wolf harvest for the Eastern Region of Denali National Park and Preserve, Alaska, USA. Population size estimates, number of collared wolves, number of collared breeding wolves, and their proportions in the population and harvest included. Population size, number of collared wolves, and number of collared breeders were pre-hunt numbers. (DOCX)


S2 Table

April 2016

·

16 Reads

Annual probability of sighting index for Yellowstone National Park, Wyoming, USA. Sample size (in number of days within the observation period), number of days with wolf sightings, relative effort for each year (calculated as hours of effort in the given year divided by the maximum number of hours in the field from sampled years), and annual probability of sighting index for wolves in the Lamar Valley and Little America region of Yellowstone National Park from 2008 to 2013. (DOCX)


Implications of Harvest on the Boundaries of Protected Areas for Large Carnivore Viewing Opportunities

April 2016

·

488 Reads

·

25 Citations

The desire to see free ranging large carnivores in their natural habitat is a driver of tourism in protected areas around the globe. However, large carnivores are wide-ranging and subject to human-caused mortality outside protected area boundaries. The impact of harvest (trapping or hunting) on wildlife viewing opportunities has been the subject of intense debate and speculation, but quantitative analyses have been lacking. We examined the effect of legal harvest of wolves (Canis lupus) along the boundaries of two North American National Parks, Denali (DNPP) and Yellowstone (YNP), on wolf viewing opportunities within the parks during peak tourist season. We used data on wolf sightings, pack sizes, den site locations, and harvest adjacent to DNPP from 1997-2013 and YNP from 2008-2013 to evaluate the relationship between harvest and wolf viewing opportunities. Although sightings were largely driven by wolf population size and proximity of den sites to roads, sightings in both parks were significantly reduced by harvest. Sightings in YNP increased by 45% following years with no harvest of a wolf from a pack, and sightings in DNPP were more than twice as likely during a period with a harvest buffer zone than in years without the buffer. These findings show that harvest of wolves adjacent to protected areas can reduce sightings within those areas despite minimal impacts on the size of protected wolf populations. Consumptive use of carnivores adjacent to protected areas may therefore reduce their potential for non-consumptive use, and these tradeoffs should be considered when developing regional wildlife management policies.


S6 Table

April 2016

·

18 Reads

Model selection table evaluating factors potentially affecting probability of wolf sightings in Denali National Park and Preserve, Alaska, USA (including the factor RoadPop). Candidate model set includes the factor RoadPop. K is the number of parameters in the model, PNRI is the Pack Near Road Index, TotalPop is the wolf population size, RoadPop is the number of wolves in packs that overlap the Denali Park Road, Buffer is a factor indicating the presence/absence of a harvest buffer, WolfHarv is the number of wolves harvested in the prior year and BreedHarv is a binary factor describing if breeders were or were not harvested from road packs in the prior year. (DOCX)


Citations (8)


... The vast majority of Movebank data are either openly available or available upon request for secondary data re-use, supporting collaborations among ecologists across species and geographies. This has led to significant advances in movement ecology, such as studying movement responses to climate and environmental change in the Arctic [63], or discovering how human activity during COVID-19 pandemic influenced terrestrial mammals across the globe [64]. However, to date, no such collaborative multi-species and geographically spread studies exist for avian navigation. ...

Reference:

A new data-driven paradigm for the study of avian migratory navigation
Behavioral responses of terrestrial mammals to COVID-19 lockdowns

Science

... Following a nearly 150-year absence from the ecosystem, 36 bison were reintroduced into BNP in July 2018, providing a rare opportunity to evaluate the role of habitat quality and landscape factors in shaping patch discovery and refinement of space use. Further, given that this was a small, reintroduced population (from 36 to approximately 100 individuals during the study) living in a relatively large study area (1200 km 2 ), we were able to test our framework without the need to control for density dependent habitat selection (Smith et al. 2023a). Bison movements were recorded for 5 years starting with their very first steps on the new landscape. ...

Density‐dependent habitat selection alters drivers of population distribution in northern Yellowstone elk

Ecology Letters

... Population declines in Shiras moose (A. a. shirasi), the subspecies that inhabits the Northern Rocky Mountains, have been documented in Montana [33], Wyoming [34], and parts of Idaho; however, other populations in Idaho and Washington have increased [35]. Many potential correlates of moose population changes have been examined, however, the factors affecting survival and reproduction, and ultimately population growth or decline, remain poorly understood for Shiras moose [19]. ...

Evaluating the effects of habitat condition, climate and predator density on Shiras moose demography

... For example, numerous wolves made long-lasting, long-distance extraterritorial movements [48], which might have produced tracks in areas unoccupied by wolf packs. This concern is only heightened by the potential proliferation of false positives (identifying a pack where none exists) due to the social disruption and pack disbandment that may be caused by wolf-killing [49][50][51][52][53]. Many packs could have disappeared given increases in humanmortality throughout wolf range during and after the February 2021 wolf-hunt that killed 218 wolves legally and >100 illegally [25]. ...

Implications of Harvest on the Boundaries of Protected Areas for Large Carnivore Viewing Opportunities

... Several members of the Junction Butte Pack in Yellowstone National Park (YNP), Wyoming, USA, were radio-collared (Smith et al. 2015). R.M. located and observed these wolves and their packmates daily as often as possible for four years from the ground using binoculars and a 60× spotting scope during daylight (McIntyre 2019(McIntyre , 2020(McIntyre , 2021. ...

Infanticide in wolves: Seasonality of mortalities and attacks at dens support evolution of territoriality

Journal of Mammalogy

... Males showed non-significantly higher HCC than females. Other studies consistently report non-significant differences between sexes, with higher HCC in females 15,35 or males 34 . Younger age classes, particularly subadults, showed a tendency for lower HCC than the adults. ...

Environmental and Intrinsic Correlates of Stress in Free-Ranging Wolves

... Furthermore, social dynamics can be affected as more wolves reach advanced ages . Larger packs composed of older individuals (≥6 years old) were more successful in interpack conflicts (Cassidy et al., 2015). It is likely that many highly exploited wolf populations do not have large packs or many individuals that reach the advanced age of 6 years old (Hayes & Harestad, 2000). ...

Group composition effects on aggressive interpack interactions of gray wolves in Yellowstone National Park

Behavioral Ecology

... Linear dominance hierarchies based on age have also been observed in dog packs in West Bengal, India (Pal et al., 1998a). Both these studies found that physical aggression was rare within packs, and instead dominance was established by ritualized aggression (Bonanni et al., 2017;Pal et al., 1998a) or submissive reversal (Bonanni et al., 2017), suggesting a tolerant dominance style similar to wolves (Baan et al., 2014). Affiliative intrapack relationships may also play an important role in group level decisions for free-ranging dogs. ...

Conflict management in free-ranging wolves, Canis lupus
  • Citing Article
  • April 2014

Animal Behaviour