Kane Michelle E, Brewer Dustin E, Gehring Thomas M, Shirkey Brendan T, Pangle Kevin L, Uzarski Donald G, Picciuto Michael A, Simpson John W
Department of Biology, Institute for Great Lakes Research Central Michigan University Mount Pleasant Michigan USA.
Winous Point Marsh Conservancy Port Clinton Ohio USA.
Ecol Evol. 2023 Nov 14;13(11):e10732. doi: 10.1002/ece3.10732. eCollection 2023 Nov.
The King Rail () is a wetland dependent species of conservation concern. Our objective was to gain a better understanding of the breeding habitat associations of King Rails in the Midwestern United States and the relationship of this species to other obligate marsh birds using occupancy and MaxEnt models. To collect data pertaining to occupancy, we placed trail cameras at 50 random points in coastal wetlands in the western Lake Erie basin where calls of King Rails were continuously broadcast at night. Data pertaining to other marsh bird species were collected via call-broadcast surveys and camera surveys at each sample point. For MaxEnt modeling, we obtained presence data for King Rails and other obligate marsh birds from eBird and habitat data from GIS databases. Trail cameras and call-broadcast surveys captured 10 detections of King Rails at nine sites, an 18% naive occupancy rate. King Rail occupancy was positively related to amount of interspersion, average water depth, and percent cover of emergent vegetation at local scales within a 5-m radius. Our MaxEnt models indicated that, at a broader scale, the presence of other rail species such as the Sora () may be more important for predicting King Rail presence than other marsh birds or coarse wetland categories such as "emergent vegetation." Our results could help wetland managers to predict where King Rails occur and to adapt management plans to incorporate King Rail conservation.
王秧鸡()是一种依赖湿地生存且受到保护关注的物种。我们的目标是通过占用率和最大熵模型,更好地了解美国中西部王秧鸡的繁殖栖息地关联以及该物种与其他专性沼泽鸟类的关系。为了收集与占用率相关的数据,我们在伊利湖盆地西部沿海湿地的50个随机点放置了追踪相机,夜间持续播放王秧鸡的叫声。通过在每个采样点进行叫声广播调查和相机调查,收集与其他沼泽鸟类物种相关的数据。对于最大熵建模,我们从eBird获得了王秧鸡和其他专性沼泽鸟类的出现数据,并从GIS数据库获得了栖息地数据。追踪相机和叫声广播调查在9个地点记录到10次王秧鸡的探测,初始占用率为18%。在5米半径内的局部尺度上,王秧鸡的占用率与散布量、平均水深和挺水植被覆盖百分比呈正相关。我们的最大熵模型表明,在更广泛的尺度上,预测王秧鸡的出现,其他秧鸡物种(如索拉秧鸡())的存在可能比其他沼泽鸟类或“挺水植被”等粗略湿地类别更重要。我们研究结果有助于湿地管理者预测王秧鸡的出现地点,并调整管理计划以纳入王秧鸡保护措施。