Population Statistics & Trends Fawn to doe ratios and yearling buck percentages are used to help estimate the deer herd size annually and is the starting point for setting antlerless harvest quotas.
CWD was first detected in Wisconsin in 2002 when three deer taken by hunters in the fall of 2001 near the village of Mount Horeb, about 10 miles southwest of Madison, tested positive. Since that time an intensive surveillance effort has been undertaken to better understand the geographic distribution of the disease, the prevalence of the disease where it occurs and changes in the prevalence ...
Eurasian watermilfoil: long-term trends in unmanaged populations The Wisconsin Department of Natural Resources conducts and supports a variety of projects that improve our understanding of aquatic invasive species (AIS) and the ways we manage them.
Fawn to doe ratios (FDRs) collected in late summer give information on fawn recruitment and survival. FDRs from Summer Deer Observation (SDO) surveys were summarized using groups of county Deer Management Units (DMUs) to show regional patterns over time. County DMUs were grouped based on location, habitat characteristics, and deer demography. For additional Information….
Deer herd abundance is estimated annually with hunter-collected data and a mathematical model to get post hunt deer population estimates. For additional Information….
Fawn to doe ratios (FDRs) collected for each Deer Management Unit (DMU) in late summer give information on fawn recruitment and survival and are used as an input into the formula for annual deer herd abundance estimation. For additional Information….
Long-term Trends in Mitigation and Wetland Restoration: Ecological Condition and Soil Organic Carbon March 2021 Clockwise from left, a 26 -year-old mitigation site in Oconto Co.; a rehabilitated shallow marsh dominated by Sparganium eurycarpum in the Driftless Area; a soil profile from a wet-mesic prairie restoration; hydric soil with low organic
The primary objective of Long Term Trend (LTT) Lakes monitoring is to document long-term trends in lake water chemistry. This data set also provides context for water chemistry in other lakes in terms of intra and inter-annual variability.
