Anne E. Mini
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Predicting secretive species distribution using Bayesian networks with and without expert collaboration: A case study incorporating double‐blind peer review Open
Species that are secretive, imperilled and consequently data deficient often require conservation action despite limited available information. In such scenarios, Bayesian networks (BNs) offer a versatile and intuitive approach for utilizi…
<span>DuckNet</span>: an open‐source deep learning tool for waterfowl species identification in <span>UAV</span> imagery Open
Understanding how waterfowl respond to habitat restoration and management activities is crucial for evaluating and refining conservation delivery programs. However, site‐specific waterfowl monitoring is challenging, especially in heavily f…
Mallard winter use of conservation program and nonprogram lands in Mississippi Open
Prior to the 19 th century, the Mississippi Alluvial Valley (MAV) was a vast bottomland hardwood forest ecosystem with associated wetlands and intrinsic resources. Conversion for human uses in the 20 th century transformed the MAV into an …
Forest area to support landbird population goals for the Mississippi Alluvial Valley Open
First posted February 5, 2021 Revised August 2, 2021 For additional information, contact: Director, Patuxent Wildlife Research CenterU.S. Geological Survey12100 Beech Forest RoadLaurel, MD 20708Contact Pubs Warehouse Historically, the Miss…
Conservation–Protection of Forests for Wildlife in the Mississippi Alluvial Valley Open
The nearly ubiquitous bottomland hardwood forests that historically dominated the Mississippi Alluvial Valley have been greatly reduced in area. In addition, changes in hydrology and forest management have altered the structure and composi…