Northern Bobwhite Occupancy Patterns on Multiple Spatial Scales Across Arkansas

Abstract

Northern bobwhite Colinus virginianus populations have been rapidly declining in the eastern, central, and southern United States for decades. Declines have been driven by land use change and an incompatibility between northern bobwhite resource needs and human land use practices. Here, we applied occupancy analyses on two spatial scales (state-level and ecoregion-level) to more than 5,000 northern bobwhite surveys conducted over six years across the entire state of Arkansas to explore patterns in occupancy and land use variables, and to identify priority areas for management and conservation. At the state level, northern bobwhite occupied 29% of sites and northern bobwhite were most likely to occur in areas with a high percentage of early successional habitat (grassland, pasture, and shrubland). The statewide model predicted that northern bobwhite were likely to occur (≥75% predicted occupancy) in <20% of the state. Arkansas is comprised of five distinct ecoregions, and analyses at the ecoregion spatial scale showed that habitat associations of northern bobwhite could vary between ecoregions. For example, northern bobwhite occupancy in both the Arkansas River Valley and Ozark Mountains ecoregions was best predicted by early successional habitat, but was further refined by other habitat associations such as the proportion of herbaceous habitat and hay-pasture habitat, respectively. Contrastingly, northern bobwhite occupancy in the Ouachita Mountains ecoregion was best predicted by richness of landcover classes alone. Ecoregion-level models were thus more discerning than the state level model and should be more helpful to managers in identifying priority conservation areas. However, in 2 of 5 ecoregions, northern bobwhite were too rarely encountered to accurately predict their occurrence. We found that likely occupied northern bobwhite habitat lay primarily on private properties (95%), but that numerous public entities own and manage land identified as suitable or likely occupied. We conclude that management of northern bobwhite in Arkansas could benefit from cooperation among state, federal, and military partners, as well as surrounding private landowners and that ecoregion-specific models may be more useful in identifying priority areas for management. Our approach incorporates multiple landscape scales when using remote sensing technology in conjunction with monitoring data and could have important application for the management of northern bobwhite and other grassland bird species.

Influences of landscape composition on hunter‐harvested mallard body mass and condition in eastern Arkansas

“…Additionally, most land cover classifications at higher resolutions (e.g., 30‐m × 30‐m resolution) appear geographically plausible and, at the synoptic scale, are similar to the 500‐m × 500‐m scale captured by the Moderate Resolution Imaging Spectroradiometer (MODIS) from which land cover datasets (e.g., National Land Cover Database, Cropland Data Layer) are derived (where higher resolutions data layers are achieved using training datasets; Zhang and Roy 2017). Using methods adapted from Lassiter et al (2021), we then calculated the percent landscape composition variable for each grid cell. We reclassified each grid cell's percent landscape composition to corresponding predictions of mallard body mass from the linear mixed‐effects model analysis.…”