Trends in bird abundance differ among protected forests but not bird guilds

• Published in: Ecological applications 2021-09, Vol.31 (6), p.1-15
• Main Authors: Doser, Jeffrey W., Weed, Aaron S., Zipkin, Elise F., Miller, Kathryn M., Finley, Andrew O.
• Format: Article
• Language: English
• Subjects: Abundance; avian populations; Bayesian analysis; Bird populations; Birds; Climate change; community dynamics; Forest protection; Forests; Guilds; hierarchical model; Historic buildings & sites; Historic sites; imperfect detection; Marshes; National Park Service; National parks; Parks & recreation areas; Pest outbreaks; Rare species; Regeneration; removal sampling; species richness; Trends
• ISSN: 1051-0761; 1939-5582
• DOI: 10.1002/eap.2377

Improved monitoring and associated inferential tools to efficiently identify declining bird populations, particularly of rare or sparsely distributed species, is key to informed conservation and management across large spatiotemporal regions. We assess abundance trends for 106 bird species in a network of eight forested national parks located within the northeast United States from 2006 to 2019 using a novel hierarchical model. We develop a multispecies, multiregion, removal-sampling model that shares information across species and parks to enable inference on rare species and sparsely sampled parks and to evaluate the effects of local forest structure. Trends in bird abundance over time varied widely across parks, but species showed similar trends within parks. Three parks (Acadia National Park and Marsh-Billings-Rockefeller and Morristown National Historical Parks [NHP]) decreased in bird abundance across all species, while three parks (Saratoga NHP and Roosevelt-Vanderbilt and Weir- Farm National Historic Sites) increased in abundance. Bird abundance peaked at medium levels of basal area and high levels of percent forest and forest regeneration, with percent forest having the largest effect. Variation in these effects across parks could be a result of differences in forest structural stage and diversity. By sharing information across both communities and parks, our novel hierarchical model enables uncertainty-quantified estimates of abundance across multiple geographical (i.e., network, park) and taxonomic (i.e., community, guild, species) levels over a large spatiotemporal region. We found large variation in abundance trends across parks but not across bird guilds, suggesting that local forest condition might have a broad and consistent effect on the entire bird community within a given park. Research should target the three parks with overall decreasing trends in bird abundance to further identify what specific factors are driving observed declines across the bird community. Understanding how bird communities respond to local forest structure and other stressors (e.g., pest outbreaks, climate change) is crucial for informed and lasting management.