https://www.scientificoutdoorsmen.com/blog daily 0.75 2026-09-06 https://www.scientificoutdoorsmen.com/blog/20-years-of-florida-deer-harvest-data-how-check-station-data-can-drive-better-deer-management monthly 0.5 2026-09-06 https://images.squarespace-cdn.com/content/v1/6a1c4b71727cce682e6a6648/e0c6d9bd-31d4-4a15-bfcc-335d8296779e/P1100264-Enhanced-NR.jpg Blog - 20 Years of Florida Deer Harvest Data: How Check Station Data Can Drive Better Deer Management - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/6a1c4b71727cce682e6a6648/448b1340-a073-412d-9e1d-801058674877/Fig+1.png Blog - 20 Years of Florida Deer Harvest Data: How Check Station Data Can Drive Better Deer Management - Figure 1. Antler size of harvested bucks through time across Florida's five FWC regions. Points show the average Antler Size Index of bucks measured each year, with larger points representing more bucks in the dataset. The dashed line marks 2015, when minimum-antler restrictions became more widespread. Antler size increased through time in all five regions. Figure 1. Antler size of harvested bucks through time across Florida's five FWC regions. Points show the average Antler Size Index of bucks measured each year, with larger points representing more bucks in the dataset. The dashed line marks 2015, when minimum-antler restrictions became more widespread. Antler size increased through time in all five regions. https://images.squarespace-cdn.com/content/v1/6a1c4b71727cce682e6a6648/03c308fc-b94b-45d6-9805-3698426a764c/fig+2.png Blog - 20 Years of Florida Deer Harvest Data: How Check Station Data Can Drive Better Deer Management - Figure 2. Differences in antler size among Florida WMAs after accounting for buck age, body weight, year, WMA size, region, and minimum-point harvest restrictions. Individual WMA names have been replaced with anonymous region-based identifiers to avoid highlighting specific hunting areas. Values to the right indicate WMAs tending to have larger-antlered bucks harvested than expected, while values to the left indicate smaller-antlered bucks. Point size represents sample size, so larger points represent WMAs where more bucks were measured; horizontal lines show the uncertainty around each estimate. This should not be interpreted as a simple ranking of hunting quality or your odds of killing a big buck. Only WMAs with at least 15 years of check-station data and at least 100 measured bucks were included. Many WMAs did not meet these criteria and are therefore not shown, some of which could have higher or lower ASI values than those depicted here. https://images.squarespace-cdn.com/content/v1/6a1c4b71727cce682e6a6648/7f465f75-689f-482d-92f1-878751a673d5/fig+3.png Blog - 20 Years of Florida Deer Harvest Data: How Check Station Data Can Drive Better Deer Management - Figure 3. Relationship between swamp habitat and antler size across Florida WMAs. The line shows the estimated relationship after accounting for buck age, body weight, year, WMA size, region, and minimum-point restrictions. Each point represents a WMA and shows how its antler measurements differed from the overall model prediction after accounting for those factors. This allows for a more reasonable comparison among WMAs than simply comparing their raw average antler measurements. Larger points indicate WMAs with more bucks in the dataset. The variation among points shows that swamp cover is only one piece of the puzzle. Some WMAs produced larger or smaller antlers than their habitat composition alone would predict. Importantly, the relationship wasn't being driven by a single WMA and the trend remained positive when we removed each WMA and reran the analysis. In our final model, a 10-percent increase in swamp cover was associated with a 0.18 increase in ASI (about 1/5th of a standard deviation in antler size). Figure 3. Relationship between swamp habitat and antler size across Florida WMAs. The line shows the estimated relationship after accounting for buck age, body weight, year, WMA size, region, and minimum-point restrictions. Each point represents a WMA and shows how its antler measurements differed from the overall model prediction after accounting for those factors. This allows for a more reasonable comparison among WMAs than simply comparing their raw average antler measurements. Larger points indicate WMAs with more bucks in the dataset. The variation among points shows that swamp cover is only one piece of the puzzle. Some WMAs produced larger or smaller antlers than their habitat composition alone would predict. Importantly, the relationship wasn't being driven by a single WMA and the trend remained positive when we removed each WMA and reran the analysis. In our final model, a 10-percent increase in swamp cover was associated with a 0.18 increase in ASI (about 1/5th of a standard deviation in antler size). https://images.squarespace-cdn.com/content/v1/6a1c4b71727cce682e6a6648/bb03f709-db57-4a3d-a352-0667b1054db4/8pts.jpg Blog - 20 Years of Florida Deer Harvest Data: How Check Station Data Can Drive Better Deer Management - Make it stand out Figure 4. Not all 8-points are created equal. Both of these bucks would simply be recorded as 8-points under a point-count-only reporting system, despite the obvious difference in overall antler size. 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