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Karen Tyrell

Publications and source records attributed to Karen Tyrell.

2 recordsLinked to original sources

Inland habitat selection model for wintering whooping cranes

Inland habitat use by wintering Aransas-Wood Buffalo whooping cranes ( Grus americana ) is expected to increase given projected population growth and observations of some whooping cranes using inland winter habitat in addition to coastal marshes. We developed resource utilization functions using ‘random forests’ to model whooping crane use as a function of environmental covariates considered important for whooping crane use. Covariates associated with distance to cropland, distance to development, and wetness or standing water were the most influential in model prediction. The model estimated that the 50% predicted use contour encompassed 34,925 hectares (ha) and the 95% predicted use contour encompassed 328,928 ha within the study area. While presently limited by the small sample size of inland wintering areas observations ( n = 7 cranes with ≥50 locations), this model provides an initial tool for identifying potential impacts to whooping crane inland habitat use in proximity to anthropogenic development. The model can be expanded to incorporate future data to reduce uncertainty.

Texas

Mortality of fledged whooping cranes in the Aransas-Wood Buffalo Population

Maintaining accurate mortality records for endangered species is important for guiding management and conservation actions. Mortalities of whooping cranes ( Grus americana ) in the Aransas-Wood Buffalo Population (AWBP) are documented in published records from 1950 through 2010. This paper documents publicly available records of known mortalities from 2011 through 2023, and updates historic records from 1950 to 2010. Public sightings and telemetry carcass records were restricted to fledged whooping cranes from the AWBP and stratified by confirmed, suspected, and unknown causes across the annual range (i.e., summer, migration, and winter). This mortality update provides more certainty associated with available carcass data and reduces discrepancies in existing published information.

Texas