Here we provide public access to UCE DNA sequences for all genetic samples in Byerly et al. 2022b.

Co-occurring species with similar resource requirements often partition ecological niches. In the Northwest Atlantic (NWA), endangered roseate terns (Sterna dougallii) nest almost exclusively in coastal island colonies alongside common terns (S. hirundo). Roseate terns are prey specialists compared to common terns, which are opportunistic generalists; however, the two species forage on similar resources during the breeding season. The degree to which these species overlap in their adult foraging ecologies is not well understood. We compared the isotopic niches of nesting adult roseate and common terns by analyzing stable carbon (δ13C) and nitrogen (δ15N) isotopes in eggshell membrane tissues collected in 2018 and 2019 from ten colonies that span their NWA breeding range. Our aim was to characterize multi-scale patterns in isotope values, isotopic niche breadth, and isotope niche overlap between the tern species. We additionally examine subregional differences between “cold-water” colonies in the Gulf of Maine and “warm-water” colonies in Southern New England and Long Island Sound, and interannual differences between 2018 and 2019. Our results indicate similarity in isotope values and a high degree of isotopic niche overlap among adult roseate and common terns at the range-wide scale, but variable overlap at the individual colony scale. This suggests these species generally forage in isotopically similar habitats, but local resource availability influences partitioning within colonies. The isotopic niches of roseate terns were generally narrower than those of common terns, consistent with their respective specialist/generalist tendencies. Observed subregional and interannual differences were inconclusive and may reflect isotopic baseline shifts.

Co-occurring species with similar resource requirements often partition ecological niches. In the Northwest Atlantic (NWA), endangered roseate terns (Sterna dougallii) nest almost exclusively in coastal island colonies alongside common terns (S. hirundo). Roseate terns are prey specialists compared to common terns, which are opportunistic generalists; however, the two species forage on similar resources during the breeding season. The degree to which these species overlap in their adult foraging ecologies is not well understood. We compared the isotopic niches of nesting adult roseate and common terns by analyzing stable carbon (δ13C) and nitrogen (δ15N) isotopes in eggshell membrane tissues collected in 2018 and 2019 from ten colonies that span their NWA breeding range. Our aim was to characterize multi-scale patterns in isotope values, isotopic niche breadth, and isotope niche overlap between the tern species. We additionally examine subregional differences between “cold-water” colonies in the Gulf of Maine and “warm-water” colonies in Southern New England and Long Island Sound, and interannual differences between 2018 and 2019. Our results indicate similarity in isotope values and a high degree of isotopic niche overlap among adult roseate and common terns at the range-wide scale, but variable overlap at the individual colony scale. This suggests these species generally forage in isotopically similar habitats, but local resource availability influences partitioning within colonies. The isotopic niches of roseate terns were generally narrower than those of common terns, consistent with their respective specialist/generalist tendencies. Observed subregional and interannual differences were inconclusive and may reflect isotopic baseline shifts.

This data set describes blood and tissue samples collected from Mariana common moorhens from 2000-2001 in Guam and Saipan.

This data set describes blood and tissue samples collected from Mariana common moorhens from 2000-2001 in Guam and Saipan.

This data set provides sample collection information and genetic data used to identify relationships between groups of North American accipiters, including one hybrid. Genetic data includes gender identification, nuclear and mtDNA sequence markers, and microsatellite genotypes derived from 20 autosomal loci (Age1302, Age1303, Age1304, Age1305, Age1306, Age1307, Age1308, Age1309, Age1310, Age1311, Age1312, Age1313, Age1314, Age1316, Age1317, Age1318, Age1319, Age1320, Age1321, and Age1322).

This data set describes accession numbers for nucleotide sequence data derived from whole mitochondrial genome and double digest restriction-site associated DNA (ddRAD).

The Aga, also known as the Mariana Crow, is an endangered endemic crow of the Northern Mariana Islands, a Commonwealth of the United States of America. The only known population currently extant is on the island of Rota and has been in decline over the past two decades. Unknown pathogens are among the factors that may be contributing to this decline. To support metagenomic and transcriptomic analysis of potential disease agents, a reference genome was generated and gene features comprehensively annotated. The methods used and data availability are described. This data release consists of: 1. Gene annotations for the endangered Aga or Mariana Crow, including summary statistics, that are available from the National Center for Biotechnology Information (NCBI) at https://www.ncbi.nlm.nih.gov/genome/annotation_euk/Corvus_kubaryi/100/ 2. Raw.data.accessions.txt. A summary of raw data accessions deposited in NCBI databases used to complete the reference genome and gene annotation. The format is tab-delimited text, available at https://doi.org/10.5066/P9XSS01V. 3. Supernova.assembly.report.txt. A table describing the input data for genome assembly and output statistics of the final assembly, as computed by the supernova assembly program, in tab-delimited text and available at https://doi.org/10.5066/P9XSS01V. Additional information about these assembly parameters, including the algorithms used to compute them and expected ranges, are described in Weisenfeld et al. 2017.

The Aga, also known as the Mariana Crow, is an endangered endemic crow of the Northern Mariana Islands, a Commonwealth of the United States of America. The only known population currently extant is on the island of Rota and has been in decline over the past two decades. Unknown pathogens are among the factors that may be contributing to this decline. To support metagenomic and transcriptomic analysis of potential disease agents, a reference genome was generated and gene features comprehensively annotated. The methods used and data availability are described. This data release consists of: 1. Gene annotations for the endangered Aga or Mariana Crow, including summary statistics, that are available from the National Center for Biotechnology Information (NCBI) at https://www.ncbi.nlm.nih.gov/genome/annotation_euk/Corvus_kubaryi/100/ 2. Raw.data.accessions.txt. A summary of raw data accessions deposited in NCBI databases used to complete the reference genome and gene annotation. The format is tab-delimited text, available at https://doi.org/10.5066/P9XSS01V. 3. Supernova.assembly.report.txt. A table describing the input data for genome assembly and output statistics of the final assembly, as computed by the supernova assembly program, in tab-delimited text and available at https://doi.org/10.5066/P9XSS01V. Additional information about these assembly parameters, including the algorithms used to compute them and expected ranges, are described in Weisenfeld et al. 2017.

We investigated fine-scale genetic patterns of the federally threatened Eastern Massasauga Rattlesnake (Sistrurus catenatus) on a relatively undisturbed island in northern Michigan, USA. This species often persists in habitat islands throughout much of its distribution due to extensive habitat loss and distance-limited dispersal. These data are from 102 individual Eastern Massasauga Rattlesnakes sampled at Bois Blanc Island, Michigan and genotyped at 15 microsatellite loci. Samples were collected as part of a study to examine functional connectivity for the Eastern Massasauga. We found that the entire island population exhibited weak genetic structuring with spatially segregated variation in effective migration and genetic diversity.