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Bobcat Population Status and Management in North America: Evidence of Large-Scale Population Increase

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Abstract

Bobcat Lynx rufus populations are thought to be increasing in North America; however, little information exists on their current population status. In the United States, management and monitoring of bobcat populations is the responsibility of state wildlife management agencies. We surveyed state wildlife management agencies in each of the 48 contiguous states regarding the current population status, distribution, and monitoring protocols of bobcats within each respective jurisdiction. We also surveyed the governments of Mexico and Canada regarding bobcat population status within their jurisdictions. We received responses from 47 U.S. states, Mexico, and 7 Canadian provinces. Responses indicate that bobcats occur in each of the contiguous states except for Delaware. Populations were reported to be stable or increasing in 40 states, with 6 states unable to report population trends and only 1 state (Florida) reporting decreases in bobcat populations. Of the 47 states in which bobcats occur, 41 employ some form of population monitoring. Population density estimates were available for 2,011,518 km2(33.6%) of the estimated bobcat range in the United States, with population estimates between 1,419,333 and 2,638,738 individuals for this portion of their range and an estimated 2,352,276 to 3,571,681 individuals for the entire United States. These results indicate that bobcat populations have increased throughout the majority of their range in North America since the late 1990s and that populations within the United States are much higher than previously suggested.
Surveys
Bobcat Population Status and Management in North
America: Evidence of Large-Scale Population Increase
Nathan M. Roberts,* Shawn M. Crimmins
N.M. Roberts
Department of Natural Resources, Cornell University, Ithaca, New York 14853
S.M. Crimmins
Department of Forest Management, University of Montana, Missoula, Montana 59812
Abstract
Bobcat Lynx rufus populations are thought to be increasing in North America; however, little information exists
on their current population status. In the United States, management and monitoring of bobcat populations
is the responsibility of state wildlife management agencies. We surveyed state wildlife management agencies in
each of the 48 contiguous states regarding the current population status, distribution, and monitoring protocols
of bobcats within each respective jurisdiction. We also surveyed the governments of Mexico and Canada regarding
bobcat population status within their jurisdictions. We received responses from 47 U.S. states, Mexico, and 7
Canadian provinces. Responses indicate that bobcats occur in each of the contiguous states except for Delaware.
Populations were reported to be stable or increasing in 40 states, with 6 states unable to report population trends
and only 1 state (Florida) reporting decreases in bobcat populations. Of the 47 states in which bobcats occur, 41
employ some form of population monitoring. Population density estimates were available for 2,011,518 km
2
(33.6%) of
the estimated bobcat range in the United States, with population estimates between 1,419,333 and 2,638,738
individuals for this portion of their range and an estimated 2,352,276 to 3,571,681 individuals for the entire United
States. These results indicate that bobcat populations have increased throughout the majority of their range in North
America since the late 1990s and that populations within the United States are much higher than previously
suggested.
Keywords: bobcat; Lynx rufus; monitoring; North America; population status
Received: December 13, 2009; Accepted: June 10, 2010; Published Online Early: June 2010; Published: November
2010
Citation: Roberts NM, Crimmins SM. 2010. Bobcat population status and management in North America: evidence of
large-scale population increase. Journal of Fish and Wildlife Management 1(2):169–174; e1944-687X. doi: 10.3996/
122009-JFWM-026
Copyright: All material appearing in the Journal of Fish and Wildlife Management is in the public domain and may be
reproduced or copied without permission. Citation of the source, as given above, is requested.
The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views of the
U.S. Fish and Wildlife Service.
* Corresponding author: nmr25@cornell.edu
Introduction
Bobcats Lynx rufus are one of the most widely spread
and adaptable carnivores in North America (Anderson
1987). Bobcats serve as a top predator in many
ecosystems (Conner et al. 2001) and can have significant
effects on ecosystem function. For example, bobcats
have been identified as a significant source of predation,
in specific systems, for white-tailed deer Odocoileus
virginianus (Nelms et al. 2001), cotton rats Sigmodon
hispidus (Schnell 1968), and pronghorn Antilocapra
americana (Beale and Smith 1973). Thus, in many
situations, proper management of bobcat populations
may be an important component of managing for
ecosystem function and biodiversity.
In the United States, management of bobcat popula-
tions is the responsibility of state wildlife management
agencies. However, management of bobcats, as with
many other carnivores, can be difficult due to their
elusive nature and the lack of information on demo-
Journal of Fish and Wildlife Management | www.fwspubs.org November 2010 | Volume 1 | Issue 2 | 169
Table 1. Bobcat monitoring methods (Monitoring), population estimates (N), range extent (Habitat, in km
2
), and population
status (Status; 1981–present) for selected jurisdictions in North America. NR indicates data were not reported by jurisdiction.
Monitoring methods were public sightings (PS), harvest analysis (HA), hunter surveys (HS), population models (PM), scent or sign
stations (SS), snow track surveys (TS), incidental harvest (IH), vehicle collisions analysis (VC), or other (OT).
Jurisdiction Monitoring
N
Habitat Status
United States
Alabama HA 68,625 116,550 Increasing
Arizona HA,HS 62,395–65,909 294,315 Increasing
Arkansas HS 14,049 134,874 Unknown
California NR 69,429–72,735 330,614 Stable
Colorado NR NR NR NR
Connecticut PS,VC Unknown 11,655 Increasing
Delaware - 0 - Absent
Florida NR 303,338 151,669 Decreasing
Georgia HA,SS 209,870–249,845 149,907 Increasing
Idaho NR 1,705–13,640 170,500 Increasing
Illinois HS 2,252 143,960 Increasing
Indiana PS,IH Unknown 92,434 Increasing
Iowa PM,OT 1,155–2,331 34,153 Increasing
Kansas HA,HS,SS 29,666–31,785 211,900 Increasing
Kentucky HA 14,000 102,896 Increasing
Louisiana HA,HS 66,431 112,825 Increasing
Maine HA Unknown 40,000 Stable
Maryland SS Unknown Unknown Increasing
Massachusetts NR Unknown 12,051 Unknown
Michigan HS,SS Unknown 116,550 Increasing
Minnesota HA,PM,SS,TS 2,857 103,600 Increasing
Mississippi HA 52,436 90,753 Increasing
Missouri HA,HS,SS 18,000–20,000 121,489 Increasing
Montana HA,TS 7,641 375,550 Increasing
Nebraska NR Unknown 171,000 Increasing
Nevada HA,PM Unknown 284,449 Stable/Increasing
New Hampshire HS,VC,IH Unknown 20,098 Increasing
New Jersey OT 106 1,600 Increasing
New Mexico HA,SS 36,249–54,373 181,243 Stable
New York PS,HA,HS 5,078 103,600 Increasing
North Carolina HA 90,115 126,161 Increasing
North Dakota HA Unknown 36,838 Unknown
Ohio PS Unknown 22,286 Increasing
Oklahoma HA Unknown 178,202 Increasing
Oregon None Unknown 248,630 Unknown
Pennsylvania HA,VC,IH,PS,PM 18,766 85,300 Increasing
Rhode Island PS,VC Unknown Unknown Unknown
South Carolina HA,SS 40,552–94,622 56,773 Stable
South Dakota HA,PM Unknown 100,000 Increasing
Tennessee HA Unknown 106,739 Stable
Texas HA 287,444–1,357,928 495,594 Stable
Utah HA Unknown 202,020 Stable
Vermont HA 2,100–3,500 23,310 Increasing
Virginia HA Unknown 64,118 Increasing
Washington NR Unknown 170,000 Stable
West Virginia HA 8,743 56,656 Increasing
Wisconsin HA,HS,PM,TS 2,850 46,620 Increasing
Bobcat Status and Management in North America N.M. Roberts and S.M. Crimmins
Journal of Fish and Wildlife Management | www.fwspubs.org November 2010 | Volume 1 | Issue 2 | 170
graphic rates. Changes in bobcat management in
response to population trends are common (Rolley et
al. 2001); however, most population assessments or
studies of bobcat range have been limited in geographic
scope (e.g., Woolf et al. 2002). It is generally assumed by
managers that a harvest rate of 20% is sustainable (Knick
1990), but that variability in environmental factors may
confound this (Anderson and Lovallo 2003). The vast
geographic range of bobcats in North America highlights
the need for large-scale population assessments. Bluett
et al. (2001) reported that state agencies considered
distribution and relative abundance to be among the
most important research topics for bobcats.
Woolf and Hubert (1998) provided the most recent
assessment of bobcat population distribution and
management in North America, with the most recent
range-wide population assessment occurring in 1981
(USFS 1981). However a more contemporary assess-
ment is needed because human populations and
development have increased greatly during the past
decades. Although numerous regional or local studies
have suggested that bobcat populations are increasing
(e.g., Woolf et al. 2000), no empirical evidence of range-
wide increases in population abundance exists. Our
objective was to document monitoring efforts, spatial
distribution, and population trends of bobcats in North
America.
Methods
Agency surveys
We contacted wildlife management agencies from all
of the 48 contiguous states of the United States, 7
Canadian provinces (British Columbia, Manitoba, New
Brunswick, Nova Scotia, Ontario, Quebec, Saskatchewan),
and the country of Mexico in 2008. Each jurisdiction was
asked to report: 1) what methods are employed to
monitor bobcat status, 2) population estimates and
average densities (if available), 3) the area (reported here
in km
2
) of suitable bobcat habitat within the jurisdiction,
and 4) post-1981 population trends. Monitoring methods
were classified as public sightings, harvest analysis,
hunter surveys, population models, scent or sign
stations, snow track surveys, incidental harvest, vehicle
collisions analysis, or other. We primarily present
information from U.S. states to facilitate comparison
with previous studies and population estimates (USFWS
1982; Woolf and Hubert 1998) and for brevity.
Data analysis
We compared the proportion of states reporting
increasing or stable populations between 1996 and
2008 (Woolf and Hubert 1998) using chi-square tests. We
only included states that reported population trends in
this analysis. States that reported populations as ‘‘stable/
increasing’’ were assigned a status of ‘‘stable’’ for this
analysis. We estimated minimum population abundance
and total suitable habitat as the sum of population or
habitat estimates across all jurisdictions. Because not all
states reported estimated population abundance (n=
26) or area of suitable habitat (n= 5), we considered
these minimum estimates to be very conservative. To
estimate total population abundance across the contig-
uous United States, we calculated average bobcat
density for those states reporting both population and
area of habitat estimates and then multiplied this
average by the geographic range estimates for all states
that reported range estimates but no population
estimates (n= 17) and added this value to the minimum
count. This method provided a general estimate of
population abundance across the entire United States
that facilitates comparison with historic estimates that
used similar methods (USFWS 1982).
Results
We received responses from 47 of the 48 states, 7
Canadian provinces, and Mexico. Responses indicated
total area of suitable bobcat habitat of 8,708,888 km
2
,
with 71% (6,186,819 km
2
) in the United States, 20% in
Mexico (1,702,545 km
2
), and 9% in Canada (819,524 km
2
).
Twenty-eight (50.9%) of the jurisdictions reported
population estimates or densities (Table 1). Of the 48
jurisdictions that reported population trends, 31 (64.6%)
reported increasing populations while 15 (31.3%) report-
ed stable populations, and 1 reported fluctuating
populations. Only one jurisdiction, Florida, reported
decreasing bobcat populations (Figure 1). The minimum
population estimate in the United States was between
1,418,333 and 2,637,738 individuals, representing 68.4%
of the total estimated bobcat range in the United States
(Table 1). Using average density, the total population
Table 1. Continued.
Jurisdiction Monitoring
N
Habitat Status
Wyoming HA,SS 2,481–13,783 253,601 Increasing
Canada
British Columbia HA Unknown NR Stable
Manitoba NR Unknown NR Stable
New Brunswick HA,TS,OT Unknown 72,784 Stable
Nova Scotia HA,OT 5,170–9,910 43,086 Fluctuating
Ontario HA Unknown 400,015 Stable
Quebec PS,IH Unknown 55,000 Stable/Increasing
Saskatchewan HA,HS Unknown 248,639 Stable
Mexico NR Unknown 1,702,545 Unknown
Bobcat Status and Management in North America N.M. Roberts and S.M. Crimmins
Journal of Fish and Wildlife Management | www.fwspubs.org November 2010 | Volume 1 | Issue 2 | 171
abundance in the United States was estimated to be
between 2,352,276 and 3,571,681 individuals. A signifi-
cantly higher (x
2
= 5.64, P= 0.018, df = 1) proportion of
states reported increasing populations in 2008 than in
1996.
Of the 55 jurisdictions surveyed, 45 (81.2%) reported
methods used to monitor bobcat populations, 25 (55.6%)
of which used .1 method. Harvest data analysis and
hunter surveys were the most commonly used methods
(Table 2). No jurisdiction used .5 methods to monitor
bobcats. Only one jurisdiction (Oregon) reported having
bobcat populations but no monitoring method.
Discussion
Bobcats are highly adaptable carnivores and are the
most abundant of North America wild felids (Cowan
1971; Anderson and Lovallo 2003). Their ecological role
and economic value as furbearers are the primary
motivations behind research and management of
bobcats (Woolf and Nielsen 2001). Woolf and Hubert
(1998) reported that less than half of the states in the
contiguous United States (n= 20) had increasing bobcat
populations as of 1996; however, we found that 32 states
now report increasing populations (Table 1). All other
states that reported bobcat population trends, with the
exception of Florida, reported at least stable populations.
Although the magnitude of population increase likely
varies considerably among jurisdictions, the general trend
supports the hypothesis that bobcat populations are
expanding across much of their geographic range. The
reason for declining populations in Florida is unknown,
although extensive human development may be partly
responsible. Given the stability of bobcat populations
elsewhere in the United States, the decreasing population
in Florida does not pose any immediate threat to the
large-scale persistence of bobcat populations in the
United States. However, research into the vital rates and
demographic patterns of the Florida bobcat population
could provide useful information to wildlife managers if
populations elsewhere begin declining.
Minimum population estimates provided by jurisdic-
tions indicated that the United States’ bobcat population
is .1.4 million. This estimate is likely a substantial
underestimation of total population abundance, because
it only represented population estimates for approxi-
mately 68% of the reported bobcat range. In 1981 similar
methods were used to estimate bobcat populations; at
that time it was estimated there were 725,000–1,017,000
bobcats in the United States (USFWS 1982). Using these
methods, our data indicate that current bobcat popula-
tion abundance in the entire United States is 2,352,276–
3,571,681. This growth is likely the result of many factors
including changing agricultural and land-use practices,
range expansion, and habitat improvement programs
such as the Conservation Reserve Program (FSA 1985, 16
U.S.C. 3831). In addition, advances in wildlife manage-
ment and monitoring have allowed states to greatly
improve wildlife management programs in recent
decades, particularly furbearer management. As recently
as 1971, 40 of the 48 contiguous United States had no
protection or formal management of bobcats (Faulkner
1971). In New York, for example, bobcats were desig-
nated as an unprotected species and take was unregu-
lated through 1976, only 5 y prior to the 1981 population
estimate (USFWS 1982). After 1976, bobcats were
afforded legal status as a furbearer species to be
conserved, and harvest regulations were developed
and implemented. Similar shifts in management para-
digms have occurred in many jurisdictions; these have
clearly benefited bobcat populations. Bobcat harvests
did increase during 1976–1984, but recent harvest levels
are comparable to those three decades earlier (36,674
harvested during 1997–1998 verses 37,026 during 1975–
1976), despite this increase in population size (Associa-
tion of Fish and Wildlife Agencies, unpublished data).
This is likely due to decreased harvest effort.
Because population survey methods were not stan-
dardized across jurisdictions, there is likely substantial
variability in the accuracy of the estimates provided by
management agencies. For example, only six states used
any form of population model in their monitoring of
bobcat populations, likely because of the paucity of
accurate data available for developing such models.
Similarly, 19 states failed to report population estimates.
Although this variability may be substantial, it does not
preclude comparison to previous reports (USFWS 1982)
or interpretation of jurisdiction-specific population
Table 2. Methods used to monitor bobcat populations in
the lower 48 states and 7 Canadian provinces in 2008 (45
jurisdictions reporting). Twenty-five jurisdictions used .1
method.
Method No. of jurisdictions
Harvest data analysis 33
Public sightings 7
Hunter surveys 11
Population models 6
Scent or sign stations 9
Snow track surveys 4
Incidental harvest 4
Vehicle collision analysis 4
Other 4
None 1
Figure 1. Bobcat population trends in the contiguous United
States, 2004.
Bobcat Status and Management in North America N.M. Roberts and S.M. Crimmins
Journal of Fish and Wildlife Management | www.fwspubs.org November 2010 | Volume 1 | Issue 2 | 172
trends. Agency surveys such as this provide the only
feasible means of providing range-wide population
assessments, because field-based surveys would be
logistically and financially impractical. Although the level
of detail in such surveys is limited, they can provide a
cost-effective means to estimate large-scale population
trends. At the statewide scale, harvest surveys were the
most commonly used approach for monitoring bobcat
populations, which is not surprising given that these
data can be obtained for large geographic areas at
relatively low costs. Unlike harvest analysis or scent
stations, methods such as hunter surveys that do not
require market-based incentives or extensive field labor
may be more practical methods for monitoring bobcat
population trends.
As with many species, enumeration of population
abundance is not required for proper management.
Within jurisdictions, specific monitoring programs can be
implemented if needed. In the United States, 41 states
currently monitor bobcat population status or trends,
despite the fact that only one state reported bobcat
populations as declining. Population models, archer
surveys, hunter surveys, harvest data, field studies,
scent-post surveys, sign-station surveys, public sightings,
and detection dogs are all techniques used in North
America to monitor bobcat populations (Bluett et al.
2001; Anderson and Lovallo 2003). The majority of
jurisdictions that reported monitoring methods used
multiple methods (Table 2). The number of jurisdictions
monitoring bobcat populations, and the number of
methods used, is similar to previous reports (Woolf and
Hubert 1998). The number of jurisdictions reporting
increasing bobcat populations has increased from 20 to
32 since 1996 (Woolf and Hubert 1998), and overall
population estimates for the United States have more
than doubled since 1981 (USFWS 1981). Similarly, six of
the seven Canadian provinces reported stable bobcat
populations.
Bobcat populations are more widely distributed and
more abundant than they were in 1981. These increases
are likely attributable primarily to multiple factors
including habitat availability, increased prey density,
changing land-use practices, and intense harvest man-
agement at the state level. Standardization of monitoring
and density-estimation techniques would increase the
robustness of future comparisons. Thus, we suggest that
jurisdictions focus on developing standardized methods
for assessing bobcat distribution and abundance.
Acknowledgments
We thank the state, provincial, and national wildlife
management agencies for providing the data for this
analysis. The Ohio Division of Wildlife facilitated the
distribution and collection of the surveys. Logistical
support was provided by the Department of Natural
Resources at Cornell University and the Department of
Forest Management at the University of Montana. We
also thank the two anonymous reviewers and the
Subject Editor for providing valuable comments that
improved the quality of the manuscript.
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... Habitat degradation and unregulated harvest resulted in population declines and the extirpation of many furbearing species from historical ranges throughout the US (Obbard et al. 1987, White et al. 2015. To reverse these trends, multiple states established management programs for declining furbearing species (Roberts and Crimmins 2010, Roberts et al. 2020, Williams 2006. Under these plans, furbearing species recolonized historic ranges (Ellington et al. 2018, Hughes et al. 2019, increased in abundance (Popescu et al. 2021, White et al. 2015, and prompted discussions of their potential economic value. ...
... The Bobcat population in Illinois has continued to grow, recolonize, and expand its range. After suffering from population declines due to land conversion to agriculture and potential overexploitation (Bauder et al. 2022, Mohr 1943, Woolf and Hubert 1998, Bobcats have increased and recolonized many areas in the midwestern US (Roberts and Crimmins 2010, Woolf and Hulbert 1998, Woolf et al. 2000, including Illinois (Bauder et al. 2022, Jacques et al. 2019. Furthermore, most of our Bobcat samples were from juvenile or yearling Bobcats, suggesting a growing population (Tarsi and Tuff 2012). ...
... Rose et al. 2020) or in West Virginia (0.01; Landry 2017). However, legal harvest of Bobcats in Illinois is relatively recent and more restrictive compared to other states (Allen et al. 2019, Roberts and Crimmins 2010, IDFG 2022, MFWP 2018. Indeed, the neighboring states of Michigan and Kentucky have seasonal bag limits of 2 and 5 Bobcats, respectively (Frawley 2023, KDFWR 2023, and many states report higher annual harvests compared to Illinois (IDFG 2022, Lavoie et al. 2009, MDFWP 2018. ...
... Bobcats (Lynx rufus) are generalist carnivores that exploit a wide range of land-cover types (Anderson & Lovallo, 2003), have high dispersal capabilities (>150 km; Knick & Bailey, 1986), and are broadly distributed across North America (Roberts & Crimmins, 2010;Woolf & Hubert, 1998). In the United States, there is a substantial gap in the bobcat distribution in the Midwest region from which bobcats were extirpated following land-use changes in the mid-1800s to early 1900s (Figure 1; Woolf & Hubert, 1998). ...
... In the United States, there is a substantial gap in the bobcat distribution in the Midwest region from which bobcats were extirpated following land-use changes in the mid-1800s to early 1900s (Figure 1; Woolf & Hubert, 1998). Bobcat populations are presumably stable (or increasing) and not severely fragmented, with natural recolonization occurring in areas from which they were extirpated (Anderson et al., 2015;Bauder et al., 2023;Hughes et al., 2019;Roberts & Crimmins, 2010). Consequently, bobcats are classified as a species of "least concern" by the International Union for Conservation of Nature (IUCN; Kelly et al., 2016 (Croteau et al., 2010;Reid, 2006), evidence suggests bobcat movement and gene flow may be restricted by mountains (Reding et al., 2013), rivers (Nielsen & Woolf, 2003), highways (Litvaitis et al., 2015;Riley et al., 2006), or anthropogenic landcover (Reed et al., 2017;Smith et al., 2020). ...
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Context There is a growing appreciation that wildlife behavioral responses to environmental conditions are scale-dependent and that identifying the scale where the effect of an environmental variable on a behavior is the strongest (i.e., scale of effect) can reveal how animals perceive and respond to their environment. In South Texas, brush management often optimizes agricultural and wildlife management objectives through the precise interspersion of vegetation types creating novel environments which likely affect animal behavior at multiple scales. There is a lack of understanding of how and at what scales this management regime and associated landscape patterns influence wildlife. Objectives Our objective was to examine the scale at which landscape patterns had the strongest effect on wildlife behavior. Bobcats (Lynx rufus) our model species, are one of the largest obligated carnivores in the system, and have strong associations with vegetation structure and prey density, two aspects likely to influenced by landscape patterns. We conducted a multiscale resource selection analysis to identify the characteristic scale where landscape patterns had the strongest effect on resource selection. Methods We examined resource selection within the home range for 9 bobcats monitored from 2021 to 2022 by fitting resource selection functions which included variables representing landcover, water, energy infrastructure, and landscape metrics (edge density, patch density, and contagion). We fit models using landscape metrics calculated at 10 different scales and compared model performance to identify the scale of effect of landscape metrics on resource selection. Results The scale of effect of landscape metrics occurred at finer scales. The characteristic scale for edge density and patch density was 30 m (the finest scale examined), and the characteristic scale for contagion occurred at 100 m. Bobcats avoided locations with high woody patch density and selected for greater woody edge density and contagion. Bobcats selected areas closer to woody vegetation and water bodies while avoiding herbaceous cover and energy development infrastructure. Conclusions A key step in understanding the effect of human development and associated landscape patterns on animal behavior is the identifying the scale of effect. We found support for our hypothesis that resource selection would be most strongly affected by landscape configuration at finer scales. Our study demonstrates the importance of cross-scale comparisons when examining the effects of landscape attributes on animal behavior.
... Species that are less plastic are more likely to be disadvantaged in high-disturbance environments, while behavioral flexibility leads to increased success and tolerance of anthropogenic environments [45,46]. For example, bobcat populations in North America only recently began recovering after record lows in the 1900's [75], while coyote populations have both increased in number and range across North America with anthropogenic land changes and extirpation of large predators [38,43], illustrating the implications of plasticity and tolerance to human modification. However, while a nuanced response to human modification can provide benefits in exploiting anthropogenic habitat, there are also risks associated with this behavior. ...
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Background Spatial behavior, including home-ranging behaviors, habitat selection, and movement, can be extremely informative in estimating how animals respond to landscape heterogeneity. Responses in these spatial behaviors to features such as human land modification and resources can highlight a species’ spatial strategy to maximize fitness and minimize mortality. These strategies can vary on spatial, temporal, and individual scales, and the combination of behaviors on these scales can lead to very different strategies among species. Methods Harnessing the variation present at these scales, we characterized how species may respond to stimuli in their environments ranging from broad- to fine-scale spatial responses to human modification in their environment. Using 15 bobcat-years and 31 coyote-years of GPS data from individuals inhabiting a landscape encompassing a range of human land modification, we evaluated the complexity of both species’ responses to human modification on the landscape through their home range size, habitat selection, and functional response behaviors, accounting for annual, seasonal, and diel variation. Results Bobcats and coyotes used different strategies in response to human modification in their home ranges, with bobcats broadly expanding their home range with increases in human modification and displaying temporal consistency in functional response in habitat selection across both season and time of day. Meanwhile, coyotes did not expand their home ranges with increased human modification, but instead demonstrated fine-scale responses to human modification with habitat selection strategies that sometimes varied by time of day and season, paired with functional responses in selection behaviors. Conclusions These differences in response to habitat, resources, and human modification between the two species highlighted the variation in spatial behaviors animals can use to exist in anthropogenic environments. Categorizing animal spatial behavior based on these spatiotemporal responses and individual variation can help in predicting how a species will respond to future change based on their current spatial behavior.
... Deer population declines in northern Georgia WMAs became evident during the early 2000s [18,19]. Simultaneously, populations of black bears (Ursus americanus; [28]), coyotes (Canis latrans; [29,30]), bobcats (Lynx rufus; [31]), and wild pigs (Sus scrofa; [32]) increased, and forests matured [18]. Deer population declines in the study area were attributed to an extremely low fawn survival rate (16% survival of 71 fawns monitored to 12 weeks of age during 2018-2020; [33]), primarily due to predation by black bears, coyotes, and bobcats [34]. ...
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У навчальному посібнику детально розглянуто представників чоти-рьох родин хижаків, зокрема ведмедевих, псових (вовчих), котових (котя-чих) і мустелових (куницевих). Подано загальні відомості про тварин, ареа-ли їх поширення, спосіб життя, розмноження, харчування. Висвітлено про-блеми збереження і приналежність до видових категорій згідно з Червоним списком Міжнародного союзу охорони природи. Для студентів і викладачів географічних факультетів вищих закладів освіти, майбутніх фахівців у галузі географії і природничих наук, усіх, хто цікавиться життям тварин.
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Survival curves for 2- to 6-month periods were plotted for 17 different populations of nonbreeding cotton rats (Sigmodon hispidus) introduced into isolated or enclosed areas of natural habitat. Eight populations were introduced onto predator-free islands or into a 1-acre, predator-proofed enclosure of old field habitat, and nine populations were released into 1-acre enclosures freely accessible to bird and mammal predators. Radioactive pins (cobalt-60 or zinc-65) inserted under the skin aided in determining the fate of cotton rats which failed to appear in live traps. Survival curves were linear or convex for introduced populations protected from predation and strongly concave for those open to natural predators. Abundant evidence for kills by hawks, foxes, and bobcats was found in the latter cases. A density of about 15/acre, the mean point of inflection in the survival curves, was considered to be a "predator-limited carrying capacity" since mortality was high above, and low below, this density when predators were active. The experimental study has special relevance to the fall and winter cotton rat populations in the southeastern United States. It is concluded that when diverse and highly mobile predator populations are present they are more important than food, social interaction, or weather in regulating cotton rat density.
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We used sighting location and remotely sensed habitat data, multivariate statistical techniques, and a geographic information system to model bobcat (Lynx rufus) habitat in Illinois, thereby providing state wildlife managers with information to review the listing of bobcats as a state-threatened species and contribute to the development of a statewide management plan. We used canonical discriminant function analysis to model presence/absence and relative abundance of bobcats statewide. These models suggested that bobcats occurred in moderate to high abundance in 23 of 98 counties statewide (23%). We used stepwise logistic regression (SLR) analysis to model statewide habitat suitability. Spatial modeling of the SLR equation predicted that 29% of Illinois contained suitable habitat classified as P>0.50. Models were accurate when validated with an independent data set and indicated the importance of woods-related habitat variables to bobcats. In conclusion, these models provided tools to rapidly assess status that contributed to delisting bobcats as a threatened species in Illinois and provided further information to guide conservation efforts.
The legal status of wildcats in the United States
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Faulkner CE. 1971. The legal status of wildcats in the United States. Pages 124-125 in Jorgensen RM, Mech LD, editors. Proceedings of a Symposium on the Native Cats of North America, Their Status and Management. 36th American Wildlife and Natural Resources Conference. Twin Cities, Minnesota: U.S. Fish and Wildlife Service. Available from the corresponding author.
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