BSK-Please Explain

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It has biologically impossible as long as fawn recruitment reaches a certain minimal level, which it always does, because each year you have a new wave of bucks factored into the ration. Makes it impossible to have more than like 3 does per buck at the start of the season (not sure the exact numbers off the top of my head).
 
CBU93 said:
From another thread:

Think of all the hunters that report seeing 20 does per buck, yet that is biologically impossible. Just an example...

As pass-thru pointed out, because of large numbers of button bucks being "recruited" into the adult population as yearling bucks on their first birthdays (a deer is an "adult" when it turns one year old), it is impossible for sex ratios to be highly skewed at the beginning of the hunting season. Now if bucks are slaughtered during the season the sex ratio can become highly skewed by the end of the season, but often these highly skewed observed sex ratios are reported even in bow season, before buck harvests could skew the ratio.

Some overly smplistic math shows how the PREHUNT sex ratio can never be highly skewed as long as fawn production is good:

Let's start with a perfectly balanced prehunt herd of 100 does, 100 bucks, and 100% fawn recruitment (for every 100 does, 100 surviving fawns are produced). 100% fawn recruitment means there are 100 fawns in the herd for the 100 does. So you have 100 bucks, 100 does and 100 fawns. Now lets say that during the hunting season, eventually hunters kill every living adult buck, and to make matters worse, hunters killed zero antlerless deer. At the end of the season you have zero bucks, 100 does and 100 fawns. Remember that those 100 fawns are basically 50/50 male/female. By the following summer, all of the fawns are recruited into the adult population by turning one year old. Now before the following season you have 50 button bucks that have become antlered adult bucks (yearling bucks), the original 100 does plus 50 female fawns that have become adult does for a total of 150 does, and those 100% fawn recruitment produces 150 fawns. So with a prehunt herd of 50 bucks, 150 does, and 150 fawns, you have an adult sex ratio of 3 does per buck (150 does divided by 50 bucks).

Now follow the same patterns as the previous year--all bucks are killed and no antlerles deer are killed. At the end of the second season you have zero bucks, 150 does and 150 fawns.

However, again fawns are recruited into the adult population over the following summer (75 button bucks to adult bucks and 75 female fawns to adult does) and the 3rd year's prehunt population is 75 bucks, 225 does and 100% fawn recruitment produces 225 fawns and again you have a prehunt adult sex ratio of 3 does per buck (225 does divided by 75 bucks).

If you keep following these calculations out year after year you will find that the prehunt sex ratio is NEVER worse than 3:1, because the large fawn crops keep swamping the prehunt sex ratio through recruitment of fawns of both sexes into the adult population. And this scenario assumes hunters kill every living buck each year. That won't actually happen.


However, as pass-thru mentioned, this system keep working because of the large fawn crops each year. If fewer surviving fawns are produced each year, you could see the prehunt sex ratio become skewed if few button bucks were available to be recruited as yearling bucks each year. Take the same calculations as above but make the fawn recruitment only 20% (20 surviving fawns for every 100 adult does) and you will find the prehunt sex ratio is consistantly 11 does per buck.

But again, this was an oversimplistic set of calculations. In reality, not all bucks are harvested and some antlerless deer are harvested, so as long as fawn production is ADEQUATE, rarely are prehunt sex ratios ever worse than 4 does per buck. And most solid census techniques actually find that most deer herds have pre-hunt sex ratios no worse than 2.5 adult does per adult (antlered) buck. This is also what the thermal imaging census data the TWRA is collecting across the state shows as well. In the vast majority of locations censused, rarely is the prehunt sex ratio in TN worse than 2.5 does per buck and some areas are quite good at 1.5 to 1.7 adult does per buck.


So if real prehunt sex ratios can't possibly be highly skewed if fawn recruitment is adequate, and it is in most parts of TN, how can hunters report such highly skewed adult sex ratios early in the year? The answer to that question demonstrates why hunter observations cannot be used to show what the real herd composition is. The first part of the answer is harvest policies and the second is deers' ability to learn to avoid harvest pressure.

Let's use another oversimplistic example of how harvest policies affect OBSERVED sex ratios. A hunter is asked to hunt inside a 100-acre high-fenced property in Unit B all year. The hunter doesn't know it but there are only 2 adult does (that travel together) and one adult buck in that fenced property. Over the course of the season, the hunters sees the one buck and immediately kills him, preventing that buck from ever being observed again. However, since does are off-limits to harvest, the hunter--over the course of an entire hunting season--ends up seeing that pair of does 5 times. Now total up the hunters observations. He saw the buck once and killed it. He saw the same pair of does five times, giving him 10 total doe sightings. This is an observation ratio of 10 doe sightings to 1 buck sighting, or an observed sex ratio of 10 does per buck. Yet in reality, the real prehunt sex ratio was 2 does per buck.

That's an oversimplistic example, but it points out just how rapidly observed sex ratio numbers can be skewed away from reality by buck-centric harvest policies.

Now take a more realistic view of what takes place. As MZ and gun seasons open, young , inexperienced bucks get hammered hard, yet it doesn't take long for the few surviving bucks to learn that moving during daylight gets them killed, and they learn to become nocturnal for survival purposes. This nocturnal movement greatly reduces how often they are seen by hunters in daylight. Those few remaining bucks are still in the woods, but now they are rarely observed by hunters in daylight. However, with little harvest pressure on the does, they don't need to adapt this nocturnal-movement survival technique, and they walk around in daylight with impunity, increasing how often they are observed by hunters multiple times.

So in this scenario, you have a decreasing number of surviving bucks that no longer move much during daylight hence are not seen by hunters. Yet you have does walking around in daylight and being observed multiple times by hunters. This produces a highly skewed OBSERVED adult sex ratio. Then throw in that many of the fawns in this population have grown to a size (by November) that they are hard to distinguish from adult does and these fawns are often being misclassified in observation data as adult does, increasing the artifical skewing of observed sex ratio numbers.


Observation data is important. It can display very helpful trends. However, it should NOT be used to produce realistic herd composition numbers, only trends. In addition, care must be taken in evaluating these trends if sudden changes in harvest policy are adopted, as they can cause significant and often massive changes in observation data trends that are not necessarily "real."
 
Yes, it's generally biologically impossible to have this badly screwed up buck:doe ratio if we consider all deer over 1 year of age to be "adult" deer.

But what if we just decided to only consider deer 2 years old or older? What if we assumed most of the 1.5 year-old bucks get killed, never seeing the age of 2?

If you run the numbers only on 2-yr-old and older deer, quite a different outcome compared to considering yearling bucks in the "antlered" equation.
 
Wes Parrish said:
Yes, it's generally biologically impossible to have this badly screwed up buck:doe ratio if we consider all deer over 1 year of age to be "adult" deer.

But what if we just decided to only consider deer 2 years old or older? What if we assumed most of the 1.5 year-old bucks get killed, never seeing the age of 2?

If you run the numbers only on 2-yr-old and older deer, quite a different outcome compared to considering yearling bucks in the "antlered" equation.

I don't see how that could lead to a tenable analysis.....would you also exclude yearling does even though most of them are bread? How would you account for the fact that yearling bucks account for a significant portion of the breeding, regardless of age structure in the population. For trophy management purposes, yearling bucks may not be considered fully mature, but biologically they are adults as they are mature breeding members of the population.
 
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Wes Parrish said:
Yes, it's generally biologically impossible to have this badly screwed up buck:doe ratio if we consider all deer over 1 year of age to be "adult" deer.

Because biologically, deer are adults at 1 year of age. They are sexually mature.

Of course, in the example I gave of how the prehunt sex ratio can't get skewed too far off balance as long as fawn production is adequate, the buck age structure would be terrible--basically the entire buck population would be yearlings, with no older (2 1/2+ year-old) bucks.
 
BSK said:
Of course, in the example I gave of how the prehunt sex ratio can't get skewed too far off balance as long as fawn production is adequate, the buck age structure would be terrible--basically the entire buck population would be yearlings, with no older (2 1/2+ year-old) bucks.
That was the point I was trying to make.

Even with buck:doe ratios that some biologists would say "aren't that bad", like 1 adult buck per 3 adult doe, we might be seeing very few bucks becoming any older than 1 1/2 years old.

From a hunter/manager perspective, I believe managing for closer to a 1:1 ratio guarantees a more balanced age structure in the buck population, with a significant number of bucks living to 3 1/2 and older. For that reason, I believe most deer herds should be managed with a goal of having near equal male & female harvests each year. If a reduced deer density is desired, harvest more females; if a higher deer density is desired, harvest fewer total deer (but keep the harvest ratio near 50/50 for male:female).
 
Wes Parrish said:
For that reason, I believe most deer herds should be managed with a goal of having near equal male & female harvests each year. If a reduced deer density is desired, harvest more females; if a higher deer density is desired, harvest fewer total deer (but keep the harvest ratio near 50/50 for male:female).

I completely agree Wes.
 
BSK said:
AlabamaSwamper said:
BSK,

I hope you have that answer saved somewhere. WHEW that was long and about the 10th time you've typed it.

No, but I guess I should save it.

Definitely! Copy your monograph from above and paste it into Notepad or Word and save it - I'm sure that this topic will come around again and it will be valuable reading for those who didn't see it in this go-around!
 
Thanks BSK

I am aware of just about all of that and I agree!

You just put all of it into words that I would never be able to do. I can think it, but I cant speak it HA!

Good Info!
 
Here's the version I saved several years ago, after I wrote it. I've used this in PowerPoint presentations quite a bit, over the years.

Anyone can do the math. Just get a pencil, paper, and a calculator.


� Start with a population of 100 bred does and no bucks 100
� Each doe has 1.2 fawns; half boys (60), and half girls (60)
� You now have 100 + 60 girls and 60 boys 160 60
� But the first winter the boys would be button bucks so they could not be shot.
� Somehow all 160 does are bred and each has another 1.2 fawns; half boys (96) and half girls (96). You also have 60 bucks from the first year that are now old enough to have antlers.
� 160 +96 = 256 girls, 60 + 96 = 156 boys, 256/156 = 1.64 girls/boy
� Now�kill every antlered buck (60). That leaves 256 girls having 1.2 fawns; half boys (153), and half girls (153) and the button bucks (96).
� So� by killing every antlered buck and not killing a single doe, you still have a 1.64:1 doe:buck ratio (assuming a 1.2 fawn/doe birth rate each year, a half boys-half girls birth rate, and no deaths other than from the gun. You can keep doing the math and keep killing every antlered animal for generations and it will never come close to a 10:1, or 20:1, or 40:1 ratio, although it may appear to for a short time after the end of the season when everything with antlers has been shot. But these figures are for total males and total females. What if you just use adult males and adult females? 256/96 = 2.66 adult girls/adult boy
� The bottom line, however is this�.
� IN MOST OF TENNESSEE, WE TAKE CLOSE TO 50:50 BUCKS AND DOES, SO HOW CAN WE HAVE BADLY SKEWED SEX RATIOS?
� The only way to have really badly skewed sex ratios is to have very little reproduction (so no new male fawns are added to the population), very little doe harvests, and very heavy harvests of antlered animals. It also makes a difference when the ratios are calculated. If the population is checked immediately after the hunting season, when there has been a heavy harvest of antlered animals but no doe harvests, the ratio will look more skewed toward bucks than if the population is sampled in the summer, after last year�s male fawns start growing antlers and new male fawns are added into the population.
� You also have to decide beforehand, are you talking about all age classes (including fawns) or just adult deer? If you are just talking about adult deer, you have to figure out a way to not count button bucks or fawn does.

I also wrote this a few years back:


In Tennessee, we estimate a deer herd of just under one million animals. Last year we harvested 96,434 bucks (including button bucks). Of those, 86,232 were antlered bucks. We often hear people claim we have a badly skewed sex ratio and some claim it is as high as 15, or 20, or even 25 does for every buck.
If we have 25 does for each buck (25 + 1 = 26) then one out of every 26 deer is a male. One million divided by 26 is 38,461 bucks. If the ratio is 25:1 we only had 38,461 bucks in Tennessee last year. But we killed 96,434. So we killed 57,973 more bucks than existed.
Suppose it is not quite as bad as 25:1. If we have 15 does for each buck (15 + 1 = 16) then one out of every 16 deer is a male. One million divided by 16 is 62,500 bucks. If the ratio is 15:1 we only had 62,500 bucks in Tennessee last year. But we killed 96,434. So we killed 33,934 more bucks than existed.
Even if the ratio is 9 to 1, we would be killing every male animal in the state in a single year (including every button buck). So how would we end up with another 86,232 antlered animals to kill next year?
There is no such thing as a 25:1 sex ratio.
 
Alan-

Shhhhhhhh....don't let on to everyone that we taught BSK everything he knows! He'll lose all credibility!!! And right now he's our biggest ally!



(PS to Bryan...I am so glad I came into the job well after your head buttin' with TWRA slowed down. Thank God you're here because you sure have saved my fingers from having to type so much. ;) )
 
AlanP said:
I also wrote this a few years back:


In Tennessee, we estimate a deer herd of just under one million animals. Last year we harvested 96,434 bucks (including button bucks). Of those, 86,232 were antlered bucks. We often hear people claim we have a badly skewed sex ratio and some claim it is as high as 15, or 20, or even 25 does for every buck.
If we have 25 does for each buck (25 + 1 = 26) then one out of every 26 deer is a male. One million divided by 26 is 38,461 bucks. If the ratio is 25:1 we only had 38,461 bucks in Tennessee last year. But we killed 96,434. So we killed 57,973 more bucks than existed.
Suppose it is not quite as bad as 25:1. If we have 15 does for each buck (15 + 1 = 16) then one out of every 16 deer is a male. One million divided by 16 is 62,500 bucks. If the ratio is 15:1 we only had 62,500 bucks in Tennessee last year. But we killed 96,434. So we killed 33,934 more bucks than existed.
Even if the ratio is 9 to 1, we would be killing every male animal in the state in a single year (including every button buck). So how would we end up with another 86,232 antlered animals to kill next year?
There is no such thing as a 25:1 sex ratio.

That's a great example Alan. I have never seen those numbers presented before. Thanks for posting it.
 
BigGameGuy said:
And right now he's our biggest ally!

I give credit where credit is due. I think you all are doing a very good job in very difficult circumstance (i.e. meeting the needs of a couple of hundred thousand deer hunters that all want something different while still maintaining a healthy deer herd).

As I've said many times, I wouldn't want your jobs. I only have to make single land-owners or clubs happy.
 

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