Large-scale distribution models for optimal prediction of Eastern black rail habitat within tidal ecosystems

• Published in: Global ecology and conservation Vol. 38; p. e02222
• Main Authors: Stevens, Bryan S., Conway, Courtney J., Luke, Kirsten, Weldon, Aimee, Hand, Christine E., Schwarzer, Amy, Smith, Fletcher, Watson, Craig, Watts, Bryan D.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2022; Elsevier
• Subjects: Bayesian model selection, habitat model; hierarchical occupancy model, marsh bird, predicting habitat quality; species distribution model; hierarchical occupancy model, marsh bird, predicting habitat quality; species distribution model; Bayesian model selection, habitat model
• ISSN: 2351-9894; 2351-9894
• DOI: 10.1016/j.gecco.2022.e02222

Eastern black rails (Laterallus jamaicensis jamaicensis) are among the rarest and least-studied birds in North America and were recently listed as threatened under the U.S. Endangered Species Act. Spatial models that predict habitat quality across the subspecies range are therefore needed to inform conservation, recovery, and monitoring efforts for this rare bird. We used data from 47,585 call-broadcast surveys collected at 7906 sites over a 3-decade period (1990s, 2000s, 2010s; 23 total years) to build species distribution models for eastern black rails. We used hierarchical Bayesian occupancy models and predictive model selection to develop multi-scale models that optimally predict habitat suitability for eastern black rails within tidal wetlands while also accounting for imperfect detection of these cryptic birds during field surveys. We also used raster regression techniques to translate model predictions into 30-m resolution maps of habitat suitability for eastern black rails within tidal wetlands along the eastern seaboard of the United States. The model predicted suitability of breeding habitat as a function of wetland attributes (e.g., cover of high marsh and terrestrial border), hydrologic modification, and disturbance from human development measured over multiple spatial scales. We also found differences in habitat relationships for eastern black rails when compared to models that included both North American subspecies of black rail. Important results included negative effects of shrub-scrub wetlands, and strong positive effects of high marsh, terrestrial border, and impoundments on breeding season occupancy. Our study provides an example of integrating detection-non-detection data and modern statistical methods to build predictive distribution models for an extremely rare species, while also providing rigorous predictions of breeding habitat quality for the eastern black rail within tidal wetlands. These models will facilitate optimal monitoring, habitat conservation, and recovery planning efforts for eastern black rails and provide a foundation for future research and conservation of this imperiled bird.