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Craig, E. C.

Publications and source records attributed to Craig, E. C..

3 recordsLinked to original sources

Soundscape reflects breeding phenology in colonial seabirds

Migratory seabirds are valuable indicators of marine ecosystem change but can be difficult to monitor during the breeding season due to dense colonies, remote breeding sites, and sensitivity to investigator disturbance. Passive acoustic monitoring offers a minimally invasive alternative to traditional surveys; however, high call overlap in large colonies complicates approaches that rely on identifying individual vocalizations. In this study, we evaluate acoustic energy as a simple soundscape metric for monitoring breeding phenology in colonial seabirds. Using a comparative approach, we deployed autonomous recorders at breeding colonies of Adelie penguins (Pygoscelis adeliae) in the Western Antarctic Peninsula and common terns (Sterna hirundo) in the Gulf of Maine. We examined seasonal patterns in acoustic energy and compared these trends with known breeding stages and colony observations. Across both species, acoustic energy exhibited distinct seasonal patterns that correspond to key phenological stages, including courtship, incubation, chick rearing, and fledging. These stages are associated with distinctive colony-wide behavioral shifts in colony attendance, territorial interactions, and parent-offspring communication that structure the breeding-season soundscape. Our results demonstrate that colony-wide acoustic energy can capture key phenological transitions in seabird colonies and provide a scalable, minimally invasive approach for monitoring breeding dynamics in remote or rapidly changing environments. HighlightsO_LIPassive acoustic monitoring can track bioindicator phenology under climate change C_LIO_LIAmplitude captures colony-level activity in dense seabird colonies C_LIO_LISoundscape patterns correspond to key breeding stages C_LIO_LIEffective in both temperate and polar seabird systems C_LIO_LIEnables scalable, low-disturbance monitoring in remote systems C_LI

ecology↗

Quantifying the vocal repertoire of adult common terns (Sterna hirundo )

Common terns (Sterna hirundo) are regionally threatened migratory seabirds that form large breeding colonies during the North American summer months. They are highly vocal and serve as important bioindicators of aquatic ecosystems. Historically, acoustic studies on colonial seabirds have proven difficult due to the dense aggregations of individuals and high rate of call overlap. However, as passive acoustic monitoring (PAM) becomes increasingly common for studying seabird colonies, quantitative descriptions of species vocalizations are needed to accurately interpret behavioral information from colony soundscapes and support automated analysis of large acoustic datasets. This study aims to quantify the vocal repertoire of adult common terns. We deployed AudioMoths to collect acoustic data at a tern colony on Seavey Island, New Hampshire, USA from across the breeding season. Using RavenPro, unique call types were identified through visual and aural inspection of the acoustic data in the spectrogram. For each call, we then extracted measurements of peak frequency (Hz), bandwidth 90% (Hz), syllable duration 90% (s), and total bout duration (s) to quantify the characteristics of each call type. Statistical analyses for acoustic parameters by call type were performed using Kruskal-Wallis tests, followed by post-hoc Dunn tests. Our results demonstrate that each call type is significantly different from another by at least one parameter, with the exception of the kek and kip/tjuk calls. These findings present the first quantitative analysis of common tern vocalizations for North America. By defining temporal and spectral characteristics for multiple call types, this work helps translate colony soundscape into biologically meaningful information about tern behavior and colony dynamics. These descriptions also provide key parameters for developing automated tools to detect and classify vocalizations in dense, noisy colonies. Integrating quantified vocal characteristics with PAM offers a promising approach for monitoring colony activity and behavior while minimizing disturbance relative to traditional methods.

animal behavior and cognition↗

From presence/absence to reliable prey proportions: A field test of dietary DNA for characterizing seabird diets

Climate change and human impacts are causing rapid shifts in species distributions and abundance, potentially disrupting predator-prey relationships. Monitoring animal diets can elucidate these relationships and potentially provide a mechanistic understanding of population declines, but efficient methods to monitor diets are needed. Dietary DNA can be used to gather data on species diets with high-taxonomic resolution, but the question of whether it can provide quantitative information on animal diets has so far limited its applications. Here we show that dietary DNA can efficiently provide quantitative information on the relative proportions of fish in the diets of piscivorous seabirds. Over three breeding seasons, we observed common tern chick feeding events and collected fecal samples from chicks. We compared the frequency of occurrence (FOO) and relative read abundance (RRA) of fish prey in the fecal samples to the relative biomass recorded through visual observations and found a high correlation (R = 0.94) between RRA and relative biomass at the colony level. We also found that RRA outperformed FOO in capturing interannual changes in relative prey biomass, and that FOO systematically over-estimated the relative importance across all prey categories. The high taxonomic resolution provided by dietary DNA and the high correlation between RRA and relative biomass we found here suggest that dietary DNA can be used as a quantitative metric to monitor seabird diets. This has important applications for studying the impact of changing forage fish availability on seabird populations, but also for harnessing seabirds as sentinels of ecosystem health. Since quantitative diet data can be collected highly efficiently using dietary DNA, this method could provide key information about food web dynamics and forage fish availability as we move towards ecosystem-based fisheries management.

ecology↗