Thank you for agreeing to take part in this online expert elicitation
to help inform the development of a national recovery strategy for red
squirrels in England. In this exercise, we will seek your expert
judgment on a number of parameters that influence red squirrel
population dynamics. These parameters span a range of topics, including
the life history characteristics of red and grey squirrels, the
epidemiology of squirrelpox virus, and the effectiveness of grey
squirrel management strategies. Your answers will directly feed into a
large-scale population model that aims to predict the recovery of red
squirrels under different biological and management scenarios.
Essentially, your expertise will help parameterise the model and include
uncertainty, ensuring that it reflects the best available knowledge
about these species and their interactions.
How many litters do you expect an average female squirrel of each species to have per year, under ideal conditions (i.e. in a woodland where inter- and intra-specific competition is negligible)?
| Species | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Grey | B | 0 | 2.0 | 4 | 85 |
| D | 0 | 6.0 | 7 | 60 | |
| E | 1 | 2.0 | 3 | 98 | |
| H | 0 | 1.0 | 2 | 80 | |
| I | 2 | 2.5 | 3 | 100 | |
| J | 0 | 3.0 | 3 | 85 | |
| K | 0 | 3.0 | 4 | 100 | |
| L | 1 | 2.0 | 3 | 80 | |
| O | 0 | 1.2 | 3 | 100 | |
| Q | 1 | 2.0 | 3 | 100 | |
| Red | B | 0 | 2.0 | 2 | 100 |
| C | 0 | 1.3 | 2 | 90 | |
| D | 0 | 1.5 | 3 | 70 | |
| E | 1 | 2.0 | 2 | 95 | |
| G | 0 | 2.0 | 2 | 100 | |
| H | 0 | 0.0 | 1 | 100 | |
| I | 1 | 2.0 | 3 | 100 | |
| J | 0 | 2.0 | 2 | 100 | |
| K | 0 | 2.0 | 3 | 100 | |
| L | 1 | 2.0 | 2 | 90 | |
| N | 2 | 2.0 | 4 | 100 | |
| O | 0 | 1.3 | 3 | 100 | |
| Q | 1 | 1.0 | 2 | 80 |
How many individuals do you expect to survive after weaning from a single litter produced by an average female of each species of squirrel, under ideal conditions (i.e., in a woodland where inter- and intra-specific competition is negligible)?
| Species | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Grey | B | 0 | 4 | 8 | 80 |
| D | 1 | 4 | 5 | 55 | |
| E | 2 | 3 | 8 | 80 | |
| H | 1 | 2 | 3 | 80 | |
| I | 2 | 3 | 5 | 100 | |
| J | 0 | 2 | 3 | 96 | |
| K | 0 | 5 | 6 | 100 | |
| L | 0 | 2 | 4 | 61 | |
| N | 1 | 6 | 6 | 100 | |
| O | 0 | 3 | 9 | 100 | |
| Red | B | 1 | 2 | 4 | 100 |
| C | 0 | 3 | 6 | 90 | |
| D | 0 | 3 | 4 | 60 | |
| E | 1 | 3 | 6 | 80 | |
| G | 1 | 3 | 4 | 100 | |
| I | 1 | 2 | 3 | 87 | |
| J | 0 | 2 | 3 | 98 | |
| K | 0 | 3 | 5 | 100 | |
| L | 0 | 1 | 4 | 80 | |
| N | 1 | 2 | 3 | 100 | |
| O | 1 | 2 | 6 | 100 | |
| Q | 0 | 0 | 0 | 50 |
Squirrelpox virus (SQPV) plays a crucial role in shaping the population dynamics of red and grey squirrels in the UK. The impact of the disease differs significantly between the two species. For red squirrels, SQPV infection is invariably fatal, with no assumed recovery under any circumstances. Grey squirrels, on the other hand, are assumed to survive SQPV infection without mortality, acting primarily as asymptomatic carriers. Additionally, we recognize that both the likelihood of mortality (in red squirrels) and the recovery process (in grey squirrels) may vary between juveniles and adults of each species. In this section, we ask for your expert judgment on key parameters of SQPV epidemiology, including the time it takes for red squirrels to succumb to the virus, the recovery time for grey squirrels, and the likelihood of reinfection in previously exposed grey squirrels.
Given that either a juvenile or adult red squirrel
becomes infected with squirrelpox virus (SQPV), what is the expected
time it will take until the individual dies, in
days?
| Age | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Adult | A | 12 | 18 | 35 | 75 |
| D | 2 | 14 | 15 | 50 | |
| E | 7 | 10 | 15 | 85 | |
| I | 8 | 10 | 14 | 100 | |
| K | 0 | 10 | 14 | 72 | |
| L | 7 | 10 | 14 | 81 | |
| M | 3 | 7 | 21 | 90 | |
| O | 7 | 14 | 21 | 100 | |
| P | 7 | 14 | 28 | 81 | |
| Q | 1 | 1 | 14 | 80 | |
| B | 0 | 0 | 0 | 100 | |
| J | 0 | 14 | 0 | 100 | |
| N | 0 | 0 | 0 | 100 | |
| Juvenile | A | 12 | 18 | 35 | 75 |
| B | 3 | 12 | 15 | 95 | |
| D | 2 | 14 | 15 | 50 | |
| E | 7 | 10 | 15 | 85 | |
| I | 5 | 8 | 14 | 100 | |
| K | 0 | 10 | 14 | 69 | |
| L | 5 | 10 | 14 | 70 | |
| M | 2 | 4 | 15 | 75 | |
| N | 0 | 10 | 21 | 100 | |
| O | 5 | 10 | 14 | 100 | |
| Q | 1 | 14 | 14 | 90 | |
| P | 7 | 28 | 14 | 80 |
Given that either a juvenile or adult grey squirrel
becomes infected with squirrelpox virus (SQPV), what is the expected
time it will take until the individual recovers, in
days?
If we truncated the plot to show a greater resolutions on the
lower estimates:
| Age | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Adult | A | 0 | 0 | 12 | 80 |
| O | 0 | 2 | 7 | 100 | |
| P | 7 | 30 | 200 | 100 | |
| B | 0 | 0 | 0 | 100 | |
| I | 0 | 0 | 0 | 100 | |
| K | 0 | 0 | 0 | 89 | |
| L | 0 | 0 | 0 | 100 | |
| M | 0 | 0 | 0 | 100 | |
| N | 0 | 0 | 0 | 100 | |
| Q | 0 | 0 | 0 | 100 | |
| Juvenile | A | 0 | 0 | 12 | 80 |
| M | 1 | 3 | 14 | 65 | |
| O | 0 | 3 | 7 | 100 | |
| P | 10 | 30 | 180 | 51 | |
| I | 0 | 0 | 0 | 100 | |
| K | 0 | 0 | 0 | 87 | |
| L | 0 | 0 | 0 | 100 | |
| N | 0 | 0 | 0 | 100 | |
| Q | 0 | 0 | 0 | 100 |
Howell et al. 2004 has proposed a new mechanism for squirrepolx epidemiology, where grey squirrels infected with squirrelpox virus (SQPV) can become reinfected even after developing antibodies, indicating that immunity is partial or waning rather than lifelong. Field data showed that seropositive grey squirrels often experience repeated cycles of infection and recovery, with a high prevalence of viraemic individuals in the population. Experimental findings further suggest that seroconversion may require multiple infection challenges, and once antibodies are developed, they persist but do not fully prevent reinfection. These results underscore the complexity of immune responses in grey squirrels and the role of partial immunity in sustaining SQPV dynamics within their populations. For the purposes of this exercise, we assume that grey squirrels develop partial immunity from SQPV.
If a grey squirrel has previously been infected with SQPV and has
subsequently recovered (i.e., it has developed an immune response to the
disease), what is the relative likelihood that it will become reinfected
if exposed under the same epidemiological conditions as its previous
initial infection? Assume all other factors remain constant, including
habitat, the density of infected individuals in the area, and
environmental conditions. NOTE: This is a relative comparison. If
you believe the likelihood of reinfection for a seropositive grey
squirrel is identical to its initial infection risk, your answer
should be 100%. If you believe that a recovered grey
squirrel would never be reinfected, your answer should be
0%.
| Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|
| A | 60 | 90 | 100 | 75 |
| M | 50 | 60 | 90 | 60 |
| O | 20 | 50 | 90 | 100 |
| P | 40 | 60 | 80 | 80 |
| I | 0 | 0 | 0 | 100 |
| N | 100 | 100 | 100 | 100 |
| Q | 0 | 0 | 0 | 100 |
Vaccination has the potential to be a transformative tool in mitigating the impacts of squirrelpox virus (SQPV) on red squirrel populations. By conferring immunity to individuals, a successful vaccination program could reduce mortality rates and increase the viability of red squirrel populations. However, the effectiveness of such a program depends on several factors, including the likelihood of vaccine development, the expected timeline for its availability, and its efficacy.
What is the probability that an effective vaccine for squirrelpox virus (SQPV), specifically for use in red squirrel populations, will be successfully developed and made widely available for use by landowners, government organizations, and conservation groups?
Some experts seem to have expressed the value in a 0%-100% scale
instead of 0-1. If we correct for that, the new plot is
| Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|
| C | 0.2 | 0.40 | 0.5 | 75 |
| D | 0.0 | 0.20 | 0.8 | 50 |
| E | 0.5 | 0.70 | 0.9 | 55 |
| J | 0.0 | 0.30 | 1.0 | 81 |
| K | 0.0 | 0.50 | 1.0 | 88 |
| M | 0.0 | 0.01 | 0.5 | 80 |
| N | 0.0 | 1.00 | 1.0 | 100 |
| O | 0.0 | 0.50 | 1.0 | 100 |
| Q | 0.1 | 0.30 | 0.5 | 50 |
| A | 20.0 | 50.00 | 70.0 | 75 |
| B | 0.0 | 0.00 | 0.0 | 100 |
| H | 0.0 | 0.00 | 0.0 | 100 |
| I | 1.0 | 1.00 | 3.0 | 80 |
| P | 5.0 | 20.00 | 30.0 | 71 |
If an SQPV vaccine is developed and approved as a management tool for red squirrel populations, by what year is it expected to become widely available?
Some experts seem to have expressed the value in “years from now”
instead of calendar years. If we correct for that, the new plot
is
| Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|
| A | 2028 | 2034 | 2050 | 75 |
| B | 2030 | 2050 | 2099 | 100 |
| C | 2030 | 2034 | 2040 | 80 |
| E | 2025 | 2030 | 2035 | 55 |
| M | 2030 | 2045 | 2060 | 50 |
| O | 2025 | 2033 | 2040 | 100 |
| K | 0 | 5 | 10 | 88 |
| N | 0 | 1 | 1 | 100 |
| P | 5 | 15 | 30 | 65 |
| Q | 0 | 0 | 0 | 100 |
For an individual red squirrel vaccinated against SQPV, what efficacy would you expect such a vaccine to have (i.e., the probability that the vaccinated individual will successfully seroconvert and develop immunity to the virus)?
Some experts seem to have expressed the value in a 0%-100% scale
instead of 0-1. If we correct for that, the new plot is
| Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|
| C | 0.70 | 0.85 | 0.95 | 55 |
| E | 0.50 | 0.80 | 0.90 | 55 |
| M | 0.20 | 0.50 | 0.80 | 50 |
| O | 0.40 | 0.80 | 1.00 | 100 |
| P | 0.01 | 0.40 | 0.70 | 50 |
| A | 15.00 | 75.00 | 85.00 | 60 |
| N | 1.00 | 1.00 | 1.00 | 100 |
Understanding the life history traits of red and grey squirrels is fundamental to predicting their population dynamics and informing management strategies. These traits shape how these species respond to environmental conditions and management interventions. In this section, we will ask for your expert judgment on parameters such as breeding season length, litter size, annual survival probabilities, and home range sizes.
Under current conditions, what is the average
length, in months, of the breeding season of each
species of squirrel (i.e. the window during the year when each species
engages in reproductive activities, including mating, gestation, and
giving birth to offspring)?
| Species | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Grey | B | 1 | 6 | 12 | 100 |
| D | 4 | 10 | 12 | 55 | |
| E | 5 | 6 | 9 | 99 | |
| H | 6 | 7 | 9 | 90 | |
| I | 9 | 10 | 12 | 100 | |
| J | 6 | 9 | 12 | 92 | |
| K | 6 | 12 | 12 | 100 | |
| L | 8 | 11 | 12 | 80 | |
| O | 5 | 9 | 10 | 100 | |
| Q | 8 | 9 | 9 | 100 | |
| Red | B | 0 | 1 | 2 | 100 |
| C | 10 | 10 | 12 | 96 | |
| D | 6 | 8 | 10 | 70 | |
| E | 5 | 6 | 9 | 99 | |
| I | 6 | 8 | 9 | 76 | |
| J | 4 | 5 | 6 | 100 | |
| K | 3 | 9 | 10 | 100 | |
| L | 6 | 6 | 7 | 81 | |
| N | 0 | 1 | 1 | 100 | |
| O | 5 | 9 | 10 | 100 | |
| Q | 7 | 8 | 9 | 100 | |
| G | 10 | 10 | 10 | 100 |
What is the average probability that a given
juvenile squirrel (of both species) will survive until
adulthood, under ideal conditions (i.e. in a woodland where inter- and
intra-specific competition is negligible, there is no squirrelpox virus,
no pine martens in the landscape and no lethal control being conducted)?
Assume a juvenile period of 9 months.
Two experts expressed values above 1 (but too low to be
reasonably interpreted as a percentage), so if we remove those:
| Species | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Grey | B | 0.00 | 0.70 | 1.0 | 90 |
| D | 0.00 | 0.60 | 1.0 | 60 | |
| E | 0.15 | 0.25 | 0.6 | 70 | |
| H | 0.20 | 0.40 | 0.6 | 75 | |
| K | 0.00 | 0.90 | 1.0 | 100 | |
| L | 0.00 | 1.00 | 1.0 | 50 | |
| O | 0.20 | 0.70 | 0.8 | 100 | |
| Q | 0.30 | 0.40 | 0.5 | 60 | |
| N | 0.00 | 6.00 | 6.0 | 100 | |
| Red | B | 0.00 | 0.50 | 1.0 | 100 |
| C | 0.20 | 0.40 | 0.7 | 72 | |
| D | 0.00 | 0.30 | 1.0 | 60 | |
| E | 0.15 | 0.25 | 0.6 | 70 | |
| K | 0.00 | 0.80 | 1.0 | 100 | |
| L | 0.00 | 1.00 | 1.0 | 50 | |
| O | 0.20 | 0.70 | 0.8 | 100 | |
| Q | 0.30 | 0.40 | 0.5 | 100 | |
| I | 1.00 | 2.00 | 3.0 | 97 | |
| N | 0.00 | 1.00 | 3.0 | 100 |
What is the average probability that a given
adult squirrel (of both species) will survive a full
calendar year, under ideal conditions (i.e. in a woodland where inter-
and intra-specific competition is negligible, there is no squirrelpox
virus, no pine martens in the landscape and no lethal control being
conducted)?
Two experts expressed values above 1 (but too low to be
reasonably interpreted as a percentage), so if we remove those:
| Species | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Grey | D | 0.00 | 0.70 | 1.000 | 50 |
| E | 0.50 | 0.70 | 0.800 | 80 | |
| H | 0.40 | 0.70 | 0.800 | 70 | |
| K | 0.00 | 0.80 | 1.000 | 100 | |
| L | 0.00 | 1.00 | 1.000 | 50 | |
| O | 0.20 | 0.70 | 0.800 | 100 | |
| Q | 0.30 | 0.40 | 0.500 | 50 | |
| Red | B | 0.00 | 0.80 | 1.000 | 100 |
| C | 0.30 | 0.60 | 0.900 | 73 | |
| D | 0.00 | 0.50 | 1.000 | 60 | |
| E | 0.50 | 0.70 | 0.800 | 80 | |
| G | 0.31 | 0.77 | 0.959 | 100 | |
| L | 0.00 | 1.00 | 1.000 | 50 | |
| O | 0.20 | 0.70 | 0.800 | 100 | |
| Q | 0.30 | 0.50 | 0.500 | 60 | |
| K | 0.00 | 7.00 | 1.000 | 100 | |
| N | 0.00 | 1.00 | 3.000 | 100 |
What is the average home range size of each
species of squirrels (in hectares), under
ideal conditions (i.e. in a woodland where inter- and intra-specific
competition is negligible)?
NOTE: Remember an hectare is
equivalent to 100 m x 100 m (or 1/100th of a square
kilometer).
| Species | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Grey | B | 1.0 | 10 | 50 | 100 |
| E | 0.5 | 5 | 20 | 80 | |
| F | 0.1 | 10 | 12 | 90 | |
| H | 2.0 | 5 | 10 | 90 | |
| K | 1.0 | 5 | 10 | 88 | |
| O | 3.0 | 5 | 20 | 100 | |
| Red | B | 0.0 | 10 | 50 | 93 |
| C | 3.0 | 4 | 7 | 69 | |
| E | 2.0 | 7 | 20 | 90 | |
| K | 1.0 | 2 | 10 | 91 | |
| N | 2.0 | 7 | 23 | 100 | |
| O | 3.0 | 8 | 20 | 100 | |
| Q | 1.0 | 1 | 2 | 50 |
Post-release effects are a critical consideration in translocation efforts, as they can significantly influence the survival and breeding success of released squirrels. After being released into the wild, squirrels may experience a period of acclimation during which their survival and reproduction rates differ from those of established wild populations. These effects may vary depending on whether the squirrels were sourced from captivity or the wild. In this section, we seek your expert judgment on key aspects of post-release effects.
How many months do you believe it will take for
released squirrels (from captive or wild sources) to become acclimated
to the release site (i.e. have survival and breeding rates expected from
the release habitat and not influenced by the translocation itself)?
| Source | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Captivity | A | 3 | 14 | 24 | 65 |
| B | 1 | 3 | 12 | 76 | |
| C | 2 | 3 | 4 | 64 | |
| D | 2 | 3 | 6 | 50 | |
| E | 2 | 5 | 8 | 60 | |
| K | 0 | 6 | 12 | 100 | |
| O | 1 | 1 | 2 | 100 | |
| N | 1 | 1 | 1 | 100 | |
| Q | 0 | 0 | 0 | 100 | |
| Wild | D | 2 | 3 | 6 | 50 |
| E | 1 | 4 | 6 | 60 | |
| K | 0 | 4 | 12 | 100 | |
| O | 1 | 1 | 2 | 100 | |
| A | 1 | 12 | 4 | 65 | |
| B | 0 | 0 | 0 | 100 | |
| C | 0 | 0 | 0 | 100 | |
| N | 0 | 0 | 0 | 100 | |
| Q | 0 | 0 | 0 | 100 |
After a red squirrel is released into the wild (from captive or wild
sources), how many litters do you expect it to produce, while it is
still acclimating to its new environment?
NOTE: Take note
that this question asks for the total number of litters over the
acclimation period. This is dependent on the previous question you answered, not a fixed yearly
rate.
| Source | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Captivity | B | 0 | 1.0 | 2 | 76 |
| C | 0 | 0.1 | 1 | 60 | |
| D | 0 | 1.0 | 1 | 50 | |
| E | 0 | 0.0 | 1 | 60 | |
| O | 0 | 1.0 | 2 | 100 | |
| K | 0 | 0.0 | 0 | 100 | |
| N | 0 | 0.0 | 0 | 100 | |
| Q | 0 | 0.0 | 0 | 100 | |
| Wild | D | 0 | 1.0 | 1 | 50 |
| E | 0 | 1.0 | 1 | 60 | |
| B | 0 | 0.0 | 0 | 100 | |
| C | 0 | 0.0 | 0 | 100 | |
| K | 0 | 0.0 | 0 | 100 | |
| N | 0 | 0.0 | 0 | 100 | |
| O | 0 | 0.0 | 0 | 100 | |
| Q | 0 | 0.0 | 0 | 100 |
After a red squirrel is released into the wild (from captive or wild
sources), what is the probability it will survive until the next month,
while it is still acclimating to its new environment?
| Source | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Captivity | B | 0.0 | 0.9 | 1.0 | 81 |
| C | 0.3 | 0.5 | 0.8 | 61 | |
| D | 0.0 | 0.5 | 1.0 | 100 | |
| K | 0.0 | 0.5 | 1.0 | 100 | |
| N | 0.0 | 1.0 | 1.0 | 100 | |
| O | 0.0 | 0.6 | 1.0 | 100 | |
| Wild | B | 0.0 | 0.6 | 1.0 | 100 |
| D | 0.0 | 0.5 | 1.0 | 50 | |
| K | 0.0 | 0.5 | 1.0 | 100 | |
| O | 0.0 | 0.7 | 1.0 | 100 |
Management of grey squirrel populations is a crucial component in supporting the conservation of red squirrels. Grey squirrels, being an invasive species, have a significant negative impact on red squirrel populations, largely due to competition for resources and the transmission of squirrelpox. To mitigate these effects, various management approaches are utilized, including trapping and shooting. The effectiveness of these approaches are assessed below.
The following traps are being evaluated on this elicitation:
-
Single-capture live traps: Cage traps designed to capture one grey
squirrel at a time without causing harm. Once trapped, the squirrel can
be humanely dispatched.
- Multi-capture live traps: Larger cage
traps capable of capturing multiple grey squirrels simultaneously, in
different subsections of the trap
- Snap traps: Lethal traps that
quickly kill grey squirrels using a spring-loaded mechanism. Designed to
ensure a swift and humane death.
Goodnature traps: Automated,
self-resetting traps powered by CO2 canisters. They humanely
kill grey squirrels upon activation and automatically reset after each
use, allowing continuous operation with minimal maintenance.
Given a density of 1.25 grey squirrels per hectare in a woodland,
what is the average probability that a given trap will
catch a squirrel over one day of deployment. Assume all squirrels are
within range of the trap.
NOTE: Remember an hectare is
equivalent to 100 m x 100 m (or 1/100th of a square
kilometer).
| Trap | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Goodnature traps | B | 0.0 | 0.20 | 1.0 | 100 |
| C | 0.0 | 0.05 | 0.1 | 69 | |
| F | 0.0 | 0.01 | 0.1 | 80 | |
| H | 0.4 | 0.60 | 0.8 | 80 | |
| K | 0.0 | 0.20 | 0.5 | 100 | |
| Q | 0.1 | 0.10 | 0.3 | 80 | |
| E | 0.0 | 0.00 | 0.0 | 100 | |
| I | 0.0 | 0.00 | 0.0 | 100 | |
| N | 0.0 | 0.00 | 0.0 | 100 | |
| O | 0.0 | 0.00 | 0.0 | 100 | |
| Single capture live traps | B | 0.0 | 0.20 | 1.0 | 95 |
| C | 0.3 | 0.50 | 0.6 | 60 | |
| E | 0.5 | 0.70 | 0.9 | 65 | |
| F | 0.0 | 0.70 | 1.0 | 100 | |
| H | 0.8 | 0.90 | 0.9 | 95 | |
| I | 0.0 | 0.75 | 1.0 | 100 | |
| K | 0.0 | 1.00 | 1.0 | 100 | |
| N | 0.0 | 0.00 | 1.0 | 100 | |
| O | 0.1 | 0.50 | 0.8 | 100 | |
| Q | 0.1 | 0.10 | 0.3 | 80 | |
| Snap traps | B | 0.0 | 0.20 | 1.0 | 100 |
| C | 0.0 | 0.30 | 0.4 | 65 | |
| F | 0.0 | 0.30 | 1.0 | 80 | |
| K | 0.0 | 0.50 | 1.0 | 100 | |
| Q | 0.1 | 0.10 | 0.3 | 80 | |
| E | 0.0 | 0.00 | 0.0 | 100 | |
| I | 0.0 | 0.00 | 0.0 | 100 | |
| N | 0.0 | 0.00 | 0.0 | 100 | |
| O | 0.0 | 0.00 | 0.0 | 100 |
Given a density of 1.25 grey squirrels per hectare in a woodland, how
many squirrels will one multi-catch live trap catch over one day of
deployment. Assume all squirrels are within range of the trap.
NOTE: Remember an hectare is equivalent to 100 m x 100 m (or
1/100th of a square kilometer).
| Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|
| B | 0 | 0.2 | 5.0 | 95 |
| C | 0 | 0.0 | 0.1 | 90 |
| I | 0 | 1.0 | 1.0 | 100 |
| K | 0 | 1.0 | 1.0 | 100 |
| N | 0 | 0.0 | 1.0 | 100 |
| O | 0 | 2.0 | 6.0 | 100 |
The following shooting strategies are being evaluated on this
elicitation:
- Free shooting: This method involves tracking and
shooting individual grey squirrels as they are spotted in the field.
- Drey-poking: This technique targets dreys (nests) by disturbing
them, causing the squirrels to flee, making them easier to shoot.
-
Shooting over bait stations: In this approach, bait stations are used to
attract squirrels to a specific location, where they can be shot.
How much ground does an average shooter cover one
day’s fieldwork, in hectares?
NOTE: Remember an hectare is
equivalent to 100 m x 100 m (or 1/100th of a square
kilometer).
| Trap | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Drey-poking | B | 0.25 | 5.00 | 10.0 | 50 |
| E | 500.00 | 700.00 | 1000.0 | 55 | |
| F | 0.00 | 100.00 | 120.0 | 60 | |
| I | 2.00 | 3.00 | 5.0 | 100 | |
| K | 0.00 | 30.00 | 50.0 | 100 | |
| Q | 10.00 | 15.00 | 20.0 | 100 | |
| N | 0.00 | 0.00 | 0.0 | 100 | |
| Free shooting | B | 0.25 | 10.00 | 100.0 | 75 |
| E | 500.00 | 700.00 | 1000.0 | 80 | |
| F | 20.00 | 100.00 | 120.0 | 70 | |
| H | 5.00 | 15.00 | 25.0 | 75 | |
| I | 2.00 | 6.00 | 10.0 | 100 | |
| K | 0.00 | 30.00 | 50.0 | 100 | |
| N | 0.00 | 1.00 | 1.0 | 100 | |
| Q | 10.00 | 15.00 | 20.0 | 90 | |
| Shooting over bait-stations | B | 0.10 | 0.25 | 0.5 | 74 |
| E | 200.00 | 500.00 | 700.0 | 55 | |
| F | 20.00 | 200.00 | 240.0 | 70 | |
| H | 5.00 | 15.00 | 25.0 | 100 | |
| I | 2.00 | 10.00 | 10.0 | 100 | |
| K | 0.00 | 30.00 | 50.0 | 100 | |
| Q | 1.00 | 1.00 | 2.0 | 100 | |
| N | 1.00 | 1.00 | 1.0 | 100 |
Given an average density of 1.25 grey squirrels per hectare in a
woodland, how many grey squirrels would a shooter dispatch in a day’s
fieldwork, on average?
NOTE: Remember an
hectare is equivalent to 100 m x 100 m (or 1/100th of a
square kilometer).
| Type | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Drey-poking | F | 0 | 2 | 8 | 60 |
| K | 0 | 20 | 50 | 100 | |
| Q | 0 | 3 | 6 | 51 | |
| E | 0 | 0 | 0 | 100 | |
| N | 0 | 0 | 0 | 100 | |
| Free shooting | E | 5 | 15 | 30 | 70 |
| F | 0 | 2 | 4 | 70 | |
| K | 0 | 30 | 50 | 100 | |
| N | 0 | 1 | 1 | 100 | |
| Q | 0 | 0 | 1 | 100 | |
| Shooting over bait-stations | F | 0 | 4 | 10 | 70 |
| K | 0 | 30 | 50 | 100 | |
| N | 0 | 1 | 1 | 100 | |
| Q | 0 | 3 | 6 | 100 | |
| E | 0 | 0 | 0 | 100 |
Pine martens are an important natural predator influencing squirrel populations in the UK. Their presence can have differential effects on red and grey squirrels, potentially benefiting red squirrel populations indirectly - an effect described by Sheehy et al, 2018 and tested in simulations by Slade et al, 2023. In this section, we seek your expert judgment on the role of pine martens in squirrel predation as well as life history traits of pine martens.
Given an average density of 2 pine martens per km2 on a
woodland, for a given individual red or
grey squirrel living in such a woodland, what is the
average probability of it being preyed by a pine marten
over a given month?
| Species | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Grey | E | 0 | 0.15 | 0.2 | 65 |
| F | 0 | 0.10 | 0.2 | 80 | |
| K | 0 | 0.80 | 1.0 | 100 | |
| Q | 0 | 0.20 | 0.3 | 50 | |
| N | 1 | 1.00 | 1.0 | 100 | |
| Red | E | 0 | 0.05 | 0.2 | 65 |
| F | 0 | 0.05 | 0.1 | 60 | |
| K | 0 | 0.20 | 1.0 | 100 | |
| Q | 0 | 0.20 | 0.3 | 50 | |
| N | 1 | 1.00 | 1.0 | 100 |
Under current conditions, what is the average length, in months, of the pine marten breeding season (i.e. the window during the year when the species engages in reproductive activities, including mating, gestation, and giving birth to offspring)?
| Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|
| D | 8 | 9 | 11 | 70 |
| E | 2 | 2 | 3 | 75 |
| F | 6 | 8 | 10 | 90 |
| L | 10 | 11 | 11 | 85 |
| O | 7 | 8 | 10 | 100 |
| N | 1 | 1 | 1 | 100 |
How many litters do you expect an average female pine marten to have per year, under ideal conditions (i.e. in a woodland where inter- and intra-specific competition is negligible)?
| Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|
| D | 0 | 1.0 | 1 | 70 |
| E | 0 | 1.0 | 1 | 90 |
| F | 0 | 0.5 | 1 | 100 |
| K | 0 | 1.0 | 2 | 86 |
| L | 0 | 1.0 | 1 | 70 |
| Q | 0 | 1.0 | 1 | 75 |
| N | 1 | 1.0 | 1 | 100 |
| O | 1 | 1.0 | 1 | 100 |
How many individuals do you expect to survive after weaning from a single litter produced by an average female pine marten, under ideal conditions (i.e., in a woodland where inter- and intra-specific competition is negligible)?
| Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|
| D | 0 | 2.0 | 4 | 60 |
| E | 1 | 3.0 | 5 | 70 |
| F | 0 | 2.0 | 4 | 90 |
| K | 0 | 1.5 | 2 | 100 |
| L | 0 | 1.0 | 6 | 70 |
| O | 1 | 2.0 | 4 | 100 |
| N | 1 | 1.0 | 1 | 100 |
What is the average probability that a given pine marten (either a juvenile or adult) will survive a full calendar year, under ideal conditions (i.e. in a woodland where inter- and intra-specific competition is negligible)?
| Age | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Adult | D | 0.0 | 0.80 | 1.0 | 70 |
| E | 0.2 | 0.50 | 0.8 | 65 | |
| F | 0.5 | 0.85 | 1.0 | 85 | |
| K | 0.0 | 0.90 | 1.0 | 90 | |
| L | 0.0 | 1.00 | 1.0 | 50 | |
| N | 1.0 | 1.00 | 1.0 | 100 | |
| Juvenile | D | 0.0 | 0.60 | 1.0 | 55 |
| F | 0.0 | 0.45 | 1.0 | 80 | |
| L | 0.0 | 1.00 | 1.0 | 50 | |
| N | 1.0 | 1.00 | 1.0 | 100 |
What is the probability that, when dropping a piece of toast, said toast will land on the floor with the spread side down, given the following spreads:
| Spread | Expert | Minimum Plausible | Most Likely | Maximum Plausible | Confidence |
|---|---|---|---|---|---|
| Butter | B | 0.0 | 0.5 | 1.0 | 100 |
| C | 0.0 | 0.5 | 1.0 | 100 | |
| D | 0.1 | 0.8 | 0.9 | 80 | |
| E | 0.5 | 0.7 | 1.0 | 95 | |
| I | 0.0 | 0.0 | 1.0 | 51 | |
| J | 0.0 | 0.5 | 1.0 | 94 | |
| M | 0.0 | 0.5 | 1.0 | 66 | |
| N | 0.0 | 1.0 | 1.0 | 100 | |
| O | 0.0 | 1.0 | 1.0 | 100 | |
| Q | 0.1 | 0.3 | 0.6 | 100 | |
| Jam | B | 0.0 | 0.5 | 1.0 | 100 |
| E | 0.6 | 0.9 | 1.0 | 95 |