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Southwest Wisconsin CWD, Deer & Predator Study Newsletter

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Issue 8: February, 2019


In this issue of Field Notes, we discuss the observed causes of death in our collared deer and the status of the herd as it pertains to survivorship over the last year. We cover the latest updates in our predator study, including annual survivorship, home ranges, tracking effort and next steps. We are also pleased to introduce you to a pair of award-winning staff members whose tireless efforts have been invaluable in shaping and advancing this project. Lastly, fawning season is nigh, so be sure to stay tuned this April for details on how to sign up and participate as a volunteer.

Click the titles below to read this issue’s full articles and view our videos.


Buck In Field
Causes of Death in WI Deer
We are examining how our deer die and what factors contribute to mortality, such as predation, disease or hunter harvest.

Doe and Fawn
Deer Mortality
How does survivorship differ between collared deer who have tested positive for CWD versus those who tested negative on capture?

Collared bobcat
Predator Study Updates
We discuss the current status of our work with carnivores.

award winners
Staff Profiles
Wes Ellarson and Dana Jarosinski are two exemplary employees who have been awarded as Office of Applied Science Employees of the Year.

fawn
Finding Fawns
As spring approaches, so does fawning season.






Causes of Death in WI Deer


Collard buck in a field

Collared buck in a field. Photo credit: Jerry Davis


Are deer dying of Chronic Wasting Disease? Does CWD kill deer in a way unique to the disease, or just make them more likely to die of a secondary infection, such as pneumonia, or get picked off by a predator or hit by a car? Determining causes of death for deer is a wild forensic puzzle that defies neat categorization, but that’s one of our goals for the Southwest WI CWD, Deer and Predator study.

We’re investigating deer deaths so we can pinpoint whether CWD plays a role in shaping deer populations over time. So far, of the 160 collared deer whose deaths we’ve investigated, we found hunter harvest to be the most common cause of mortality, followed by coyote predation, starvation, vehicle collision and pneumonia, which all came in roughly equal to one another. We describe these causes of mortality in greater detail below.

The causes and their relative importance can vary by region of the state, while individual causes may be influenced in different ways by CWD. As we gather more data, we’ll be able to take a deeper look at these questions. (The deer referenced in this article were 6 months or older at time of death; newborn deer face a very different set of risks than older deer).

We’re at the mid-point of our data collection for the study, which means we have a lot of preliminary information—the end results may not match what we’ve found so far, so we need to be cautious in our interpretations.

“There can be a lot of uncertainty surrounding the deaths of some deer. A deer may simultaneously have multiple severe infections and be emaciated, so which affliction killed it? It can be impossible to tell,” said Dan Storm, Deer and Elk Research Scientist. “The stories nature tells are wild and complicated, but they’re also fascinating, and they can take some time to untangle.”

Except for hunter-harvested deer, our field crew conducts thorough investigations of the ground around each carcass to look for animal tracks, scat and other signs, and then brings the carcass back to a lab for a necropsy, conducted by veterinary pathologists at the UW-Madison unless the animal is too decomposed or heavily eaten to transport.

Here are some of our main takeaways:

• Deer with CWD die of starvation at a much higher rate and in a much different manner than those without. We could consider these deer as “dying of CWD” as it is the classic “wasting” that people see in the end stages of the disease.

• A better way to look at the data is to consider how CWD influences the risk of death from all potential causes, as this will give us the fullest picture of how CWD affects deer populations.

• Going forward, we’ll take a quantitative look at this data and ask questions like: what percentage of deer on an annual basis die in these specific ways, and how does the deer’s CWD infection status change the picture?

Hunter Harvest

Hunter harvest is by far the most common way adult deer have died in this study. These deaths are four times more common than from any other source. Ultimately, we’ll estimate harvest rates, or the percentage of deer that are harvested each fall, and how these rates differ between males and females, young and old deer and those with and without chronic wasting disease. We’ll also look at how harvest rates are split between archery and firearm seasons.

Coyote Predation

Deer we suspect were killed by coyotes tended to be less than 1 year old and killed in late winter/early spring (March was the month with the greatest number of apparent coyote predations). We saw the same thing in our studies in the Northwoods and Northeast WI farm country. We can’t say with certainty whether these deer were killed by coyotes because it can be difficult to distinguish between scavenging and predation—the coyotes eat the evidence.

Sometimes, like in the case of a juvenile buck killed March 23, we know for sure. The hind legs of the deer were eaten but the rest of the body was intact. The pathologist found punctures on the neck around the windpipe, along with significant bleeding, which tells us the deer’s heart was beating at the time those punctures were made. This is a classic way that coyotes finish off their prey.

We’re not always so lucky: Often, there is little left of the carcass to examine, and in other cases, snowfall, snow melt, and rain obscure other clues, such as evidence for a chase or struggle.

We’re looking at our suspected coyote deaths with caution for several reasons—some of these apparent predations may actually be scavenging, and some of the deer may have been severely compromised from something else which made it easier for the coyote to kill them (it’s common for adult deer killed by coyotes to have something wrong with them, such as being emaciated or having a prior injury.)

Starvation

Starvation deaths are the clearest case so far of a type of death that is more common among deer that tested positive for chronic wasting disease; in fact, all of the deer in our study observed to have starved tested positive for the disease. This contrasts sharply with our earlier studies in the Northwoods and Northeast Wisconsin farm country, where starvation in late winter and spring was common among juvenile deer, particularly in the Northwoods study area.

Given the abundance of row crops and the shorter, milder winters in the southwest part of the state, we wouldn’t expect starvation to be nearly as common. Starvation in deer who test negative for the disease usually occurs in late winter or spring—they run out of energy reserves before the spring green-up comes and rescues them. An otherwise healthy deer would not starve any other time of the year.

What we see in cases of CWD is quite different: We’ve observed starvation deaths at the expected times, March for instance, but we’ve also had deer starve in August, September, and November. These deer are obviously not starving from lack of food, but rather their neurological condition prevents them from eating enough—this is the classic “wasting” that gives the disease its name.

Vehicle Collision

We already know vehicle collisions are variable and dependent on road networks and traffic, but it’s interesting to see how common these collisions are compared to other types of deaths. In rural farmland areas, we’d typically expect vehicle collisions to be the second most common way adult deer die, after hunting. In the last study, this was the case in our farmland study area, but not in the Northwoods study area, which has much less traffic.

Pneumonia

Pneumonia is a sometimes-fatal lung infection which can be caused by a variety of organisms, including viruses, bacteria and fungi. These organisms most commonly enter the lungs through inhalation, aspiration (food, water or saliva entering the lungs), or septicemia (they travel through the blood from a different location). Pathogens don’t always cause pneumonia and can be found in healthy animals.

We expected that some of our deer with CWD would die of pneumonia because one of the physical manifestations of the disease is reduced ability to swallow, which could lead to foreign material such as food and rumen fluid in the lungs, causing aspiration pneumonia. They may also have impaired immune function and become less able to fight off the infection.

We also found that some deer that tested negative for CWD died of pneumonia. At the moment, we can’t say for sure how they contracted it or the organism or pathogen responsible. A tricky aspect of pneumonia is that multiple pathogens can be present in the lungs of a single deer, and it’s difficult to determine which initiated the pneumonia or contributed most to the deer’s sickness. To investigate this further, we will be collecting nasal swabs from deer at capture and screening lung tissue of dead deer to determine the range of pathogens that are circulating in our herd.

Other Causes

We have a few cases that didn’t fit into a neat category, which we expected, including a large buck with CWD that died of a brain abscess and a juvenile buck that had a severe bacterial infection of the gastrointestinal tract.

Unrecovered Kill

Unrecovered kill, which is uncommon, is our term for a deer that dies from wounds afflicted by a hunting weapon, but which is not recovered by a hunter. Some hunters may be interested to know whether this happens more often in deer shot with archery tackle versus firearms. We don’t have the data yet to say, and considering how rare this is, we may not even when the study is complete.










Deer Mortality


Buck and fawn

Buck and fawn


About a year ago, we reported the results of our first year of monitoring deer survival as part of the most comprehensive study of deer mortality ever conducted in Wisconsin. We learned that deer with chronic wasting disease had a much lower survival rate than those without. We also saw a lot of uncertainty around the survival rate estimates, especially for deer who tested positive, due to a small sample size. Of course, we knew more data would give us greater certainty and more options for exploring the data.

Fast forward a year. We collared 194 deer last winter, 185 of which were tested for CWD. We found that 15 (8 percent) tested positive. Add these deer to those we collared in 2017, and we have a lot more data. (All the deer that tested positive in 2017 eventually died except for one whose status is unknown because its collar stopped transmitting.) Looking at our most recent results, we see that last year’s main takeaway continues to stand—CWD significantly reduces deer survival.

CWD deer survival probability chart

To the right is the survival graph for the 2018 calendar year, which shows survival of deer with and without CWD through time. The vertical axis shows the percentage of animals alive (known as survival probability), and the horizontal axis is time. We can use this plot to see what survival is at any point in time and to compare survival between infected and uninfected deer.

The vertical dotted line denotes the beginning of the archery season, and the two vertical shaded areas denote the nine-day firearm and holiday hunting seasons. The two trend lines show the survival estimates, and the shaded areas around the lines show the amount of uncertainty around those estimates.

Notice how similar this plot is to our first year’s plot. As we saw last year, there is a difference in annual survival between deer with CWD and those without (35 percent vs 69 percent) and this difference is statistically significant. The gap between the positive and negative groups appears smaller than it was in the 2017 data, although this change is too small to be statistically significant. Notice also that the shaded areas around the lines are narrower, meaning we are more certain of these estimates.

Our goal is to use our survival data to determine how CWD affects deer population growth over time — to do so, we’ll also need to consider survival of males and females separately. Adult female survival drives population growth, while buck survival partly determines the presence of mature bucks on the landscape.

We now have our first glimpse of those sex differences. The plot below is the same type of plot as above, but with males and females presented separately. We removed the shaded areas showing our uncertainty to make the graph more readable.

CWD deer survival probability chart based on sex

These estimates are still preliminary, but it appears that male and female survival is quite different. We’d expect buck survival to be lower than doe survival, due to hunter preferences. However, it is notable that differences between deer with and without CWD are greater than differences between the sexes. This finding further highlights just how significantly CWD affects survival. As we add more data, we’ll have more certainty about this conclusion and be able to explore other avenues, such as the potential survival differences between young and old deer.

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Predator Study Updates


Collared Bobcat

A research technician fits a GPS collar on a bobcat



Southwest Wisconsin is home to several predators that eat deer, with coyotes and bobcats being the most common. When we set out to study chronic wasting disease in deer for our CWD, Deer and Predator Study, we knew it would be important to look at multiple factors and how they interact with one another, including the density of predators in the study area and how their numbers might affect deer survivorship over time.

At this phase of the investigation, which began in 2016 and will conclude in 2021, we have updated numbers of predators who we captured and fitted with radio collars, their home ranges and causes of death for those that died. This sets us up well to examine important factors in the future, such as whether areas with a higher rate of deer mortality have higher numbers of predators or vice versa.

“We need to understand deer populations as well as the carnivore populations that prey on deer to understand the big picture,” said Nathan Roberts, DNR Carnivore and Furbearer Research Scientist. “Over time, as we continue to study the issue and draw new conclusions, our research on predators could become even more valuable to us.”

From 2016 to the present, we’ve captured 69 coyotes and 32 bobcats. Of these, we have 25 documented coyote deaths and seven bobcat deaths. Humans were the only cause of mortality for these predators: 21 coyotes and five bobcats were taken via hunting and/or trapping; the remainder were killed by vehicles.

So far, we have seen an annual survivorship rate of about 50 percent for coyotes, consistent with what we would expect, and about 74 percent for bobcats, which is relatively high. Researchers generally focus on an annual survivorship rate, or the probability, on average, of an animal surviving to the next year.

For bobcats, an annual survivorship rate of around 60 percent generally means that the population can remain stable. Broken down, a 60 percent rate means that if we have 1,000 bobcats in a given population, as many as 400 adults could die and we would still expect to see 1,000 bobcats again the next year. Our observed survivorship is higher than this, suggesting a healthy bobcat population.

We’ve also been studying predators’ home ranges, which we found dispersed throughout the study area. Bobcats have a home range of about 30 square miles, while coyotes have a smaller home range of around 13 square miles. We’ve seen several home ranges overlap, meaning that several bobcats or coyotes are using the same area. We will use the information we gathered to estimate what type of habitat they are most likely to use and what they avoid, and then compare this to the habitat deer use.

We’ve had a lot of help in getting to this point in the project. You must catch predators before you can put a collar on them, which is no small feat; these creatures are skilled at evading capture, and their populations are also much smaller than deer. We’re thankful for the many landowners and trappers with whom we’ve partnered to get the sample size we needed from the study area. The project has also benefited from the use of updated technology, such as improved radio collars, trail cameras and modern traps.

The information we are gathering positions us well for the next steps of the project: We will continue to monitor collared bobcats and coyotes and use the information from the collars to estimate the predators’ densities and their home ranges. Going forward, we’ll use what we gather to paint a clearer picture of the effect predators are having on deer’s ability to survive year to year in a landscape where they’re impacted by chronic wasting disease.

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Staff Profiles: Employees of the Year

Wes Ellarson and Dana Jarosinski have worked on this project since its inception, and their incredible effort has had a significant impact on its success over the years. Thus, these two have been dually honored with the award of Office of Applied Science Employee of the Year.

Wes Ellason questionaire
Dana Jarosinski questionaire






Finding Fawns



We invite you to join us this spring as we trek through the Southwest Wisconsin countryside in search of fawns.




Last revised: Thursday May 16 2019