Bobcat and Fisher Habitat Use and Interactions

Project Overview

Adult male fisher descending a tree.
Adult female fisher climbing down tree from her cavity.

Fishers Background

Fishers are mid-sized carnivores that occur in the forested regions of Minnesota. Fishers depend on mature, old-growth forest with trees that have cavity holes inside of them. These cavities are important denning habitat where female fishers raise their young, called “kits.” Adult fishers are similar in size to a house cat and weigh from 6 to 15 lbs, which makes them particularly susceptible to predation from larger predators like bobcats, coyotes, and birds of prey. Fishers occupy approximately the northern half of the state, but have recently been observed expanding into the southern and western portion of the state. 

As a “furbearer species” fishers may be legally harvested in Minnesota during a winter trapping season. Fisher harvest is managed using season length and bag limits. Despite management efforts, Minnesota’s fisher population has declined by about 50% from the late 1990s through about 2015, when the population stabilized. The population decline has encouraged research by the MN Department of Natural Resources and the Mammal Ecology Lab at the Natural Resources Research Institute. It is believed that habitat degradation and predation, particularly from bobcats, are contributing to this decline.

An adult female bobcat relocating one of her kittens from its natal den to a new maternal den.
An adult female bobcat relocating one of her kittens from its natal den to a new maternal den.

Bobcats Background

Bobcats co-occur with fishers, occupying much of the northern half of the state. As habitat generalists, bobcats do not have as strict of habitat requirements as fishers, but often associate with young, regenerating forest, lowland conifer forest, and edge habitat where different land cover types meet. Bobcats are larger than house cats, and adults typically weigh between 17–35 lbs. 

Bobcats are also legally harvested in Minnesota; however, unlike fishers, during the past 20 years the Minnesota bobcat population has approximately doubled in size. It is not well-understood what has contributed to this steep increase, but it is thought that greater habitat availability and more favorable winter conditions may be playing an important role. Additionally, there is still much to learn about the general ecology of Minnesota bobcats since the population increased. 

Predation, Competition and Habitat

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Predation, Competition and Habitat

Interspecific Predation and Competition

Intraguild Predation

Intraguild predation is when different carnivore species that use similar resources in the same areas (said to belong in the same guild) compete with one another and even kill each other. This is common in many carnivore communities around the world, including bobcats and fishers here in Minnesota. This type of competition can have strong effects on the populations of the intraguild predators and on the food web interactions in the greater forest community. Competition for shared prey resources is thought to be the most common cause of intraguild predation, or in other words, conflict arises between predators when trying to eat the same food item. 

Intraguild predation can have important implications for species conservation because intraguild predation can lead to reductions in the abundance of the smaller, non-dominant species. As the smaller species, fishers in Minnesota are occasionally killed by bobcats, which may be contributing to declining fisher numbers in their core range area in northern Minnesota.

Habitat and Forest Change

Habitat is defined as the conditions and resources that an animal needs to survive and reproduce. For example, shelter and concealment, food, and mating opportunities are all part of habitat. Bobcat and fisher habitat in Minnesota is generally forested land, with bobcats using younger, more disturbed forest and fishers requiring older, mature forest. Older forest stands have larger trees with greater amounts of decay, leading to cavity formation that female fishers depend on for denning sites. Timber harvest provides humans with important materials but also alters habitat, temporarily removes trees from the landscape, and shifts the landscape to a younger forest regime. 

Past and current harvest practices have been predicted to have reduced the amount of suitable fisher habitat while simultaneously increasing bobcat habitat. If true, this could be contributing to declining fisher populations and increasing bobcat populations.

Forested northern Minnesota landscape that serves as good fisher and bobcat habitat.
Forested northern Minnesota landscape that serves as good fisher and bobcat habitat.

Project Objectives & Methods

Project Objectives
  1. Deploy GPS collars on fishers and bobcats to collect high-resolution space-use data from study animals.
  2. Monitor habitat use and quantify habitat types that both species are using to identify specific habitats where fishers may be more at risk of predation from encountering bobcats and being attacked and killed. 
  3. Describe diet composition and dietary overlap of fishers and bobcats.
  4. Evaluate whether changes in forest condition from resource extraction and natural disturbances is associated with fine-scale variation in fisher and bobcat population changes over the last 20 years. 
  5. Summarize basic information on bobcat ecology in Minnesota.
Project Methods

GPS Tracking Collars

We captured and deployed GPS collars on bobcats and fishers in the Superior National Forest, Fond du Lac Tribal land, Carlton County, and the Chippewa National Forest and surrounding Minnesota state lands. Bobcats and fishers were captured using cage-style traps during fall and winter over three capture seasons. We anesthetized study animals so that we could fit them with GPS collars and ear tags to identify individuals. We also collected hair samples and recorded body measurements like weight and length. 

The GPS collars we deployed collected location data for the study animals using satellite connections to provide us with exact coordinates of where the animals were every 2–4 hours. 

Analyzing Data

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Analyzing Data

Measuring Habitat Use and Selection

Analyzing Location Data

We are analyzing location data collected from bobcats and fishers with GPS collars to estimate the extents of their home ranges, which are the areas they use to access the resources they need. When estimating bobcat and fisher home ranges, we get an idea of the area they use frequently as well as how often they spend time in different parts of that area. Like humans, other animals use and are familiar with some areas that they use very frequently and other areas that they use less often. By looking at the areas they spend a lot of time and comparing those areas to what is available in their home range, we can learn about why they are choosing to go some places more often.

Additionally, we are very interested in learning about what features on the landscape are used frequently by both species. Areas that are used by both species represent areas where fishers are more likely to encounter bobcats and, therefore, have a greater risk of being attacked or killed. These same risky areas may have high prey densities, and so fishers may need to balance a tradeoff between prey availability and predation risk. This information is important for informing future land management activities so that the habitat needs of both carnivores are met, and, if possible, so that we can manage for habitats that provide fishers with the resources they need but that have lower predation risk.

Location data points for the fisher bobcat project at left. At right images of a bobcat on top, a fisher below.
GPS locations of collared fishers in northern Minnesota (left). Each color represents a different fisher and the locations that they visited. These locations are used to estimate home ranges to better understand what type of habitat features our collared animals are using. A male fisher poses in front of a remotely-triggered camera meant to detect carnivore activity (upper right). An adult female fisher carrying what appears to be a bird back up to her den cavity (lower right).

Describing Diet Composition and Overlap

We are analyzing bobcat and fisher diets using both scats and hair samples collected during field work. Prey remains in scat samples are identified to determine what species were consumed. We start by washing scat samples through a series of sieves to remove waste material. After separating the remaining contents and allowing them to dry, we can identify what species of prey were consumed by examining the undigested hair, bones, and teeth (see images below of some items we have found in bobcat and fisher scats). 

Hair samples from bobcats and fishers are analyzed using a process called stable isotope analysis. Stable isotope analysis can be generally explained with the old saying “you are what you eat.” As a consumer eats food, the chemical components of the food item are broken down, absorbed and then incorporated within the consumer’s tissues, including hair. We send hair samples from bobcats and fishers along with tissue samples from potential food items to a laboratory that will determine the chemical signatures of predators and their prey. We then compare the chemical signatures of consumer and food sources to determine the relative contribution of each food item to the consumer’s diet. 

After we have our scat and stable isotope results, we can measure the amount of dietary overlap between bobcats and fishers to understand how similar their diets are. Greater overlap in diet would suggest that competition for prey resources may be a factor in bobcat predation of fishers (i.e., bobcats killing fishers to reduce such competition for shared prey resources). 

Sample diet specimens from project.
We find and identify different undigestible prey remains from processed bobcat and fisher scats, including teeth, bones, hair or feathers, and claws. Here are examples of hare teeth (left), short-tailed shrew teeth (center), and feather shafts from a small to medium-sized bird (right). 

Activity Patterns

A Rich Dataset

The GPS collars we are using have a tri-axial accelerometer to measure collar movement and acceleration. Using the data collected by the accelerometer, we get a very detailed picture of when each study animal is active and when they are inactive (see graphs below). These data can help us determine what factors influence the activity patterns of both species, as well as identify times of the day when they may be most likely to both be active. 

Our collars use the data from the accelerometer (3 values, one for each axis) to calculate a single value called Overall Dynamic Body Acceleration. In general, higher numbers mean more dynamic activity, while low numbers indicate inactivity. A measurement is taken every 90 seconds, providing us with a really rich dataset to learn about bobcat and fisher activity patterns. 

Fisher Bobcat data points on a graph.
Data points from GPS collars showing a very detailed picture of when each study animal is active and when they are inactive.
An adult female fisher moving one of her kits from their den and relocating it to another den (left). A two-week old bobcat kitten in a den site among regenerating aspen trees, where it was likely born (right).
An adult female fisher moving one of her kits from their den and relocating it to another den (left). A two-week old bobcat kitten in a den site among regenerating aspen trees, where it was likely born (right).

Project Partners 

  • Minnesota Department of Natural Resources
  • Chippewa National Forest
  • Superior National Forest
  • Fond du Lac Band of Lake Superior Chippewa
  • Carlton County Land Department
  • Custom Wildlife Capture and Consulting, LLC
  • Many generous private land owners who allowed us to conduct research on their land. 

Project Funding

This project was funded by the Minnesota Environmental and Natural Resources Trust Fund (ENRTF) as recommended by the Legislative-Citizen Commission on Minnesota’s Resources (LCCMR), the Minnesota Department of Natural Resources, and the Natural Resources Research Institute at the University of Minnesota. 

Associated Labs