This record is derived from DEC Marine Policy Branch Endnote library and spatially referenced SIER Database.

This data set contains sea turtle length and weight measurements, sex ratios, species composition, capture and release locations, tagging information, and information on biological samples collected for loggerhead, green, and Kemp's Ridley sea turtle populations in the coastal waters of North Carolina.

Mitochondrial DNA markers have elucidated patterns of connectivity between green turtle nesting populations (rookeries) and juveniles foraging in neritic nursery habitats. However, missing rookery baseline data and haplotype sharing among populations have often impeded inferences, including ascertaining origins of Gulf of Mexico juveniles. We sequenced the mitochondrial control region and additional informative mitogenomic single nucleotide polymorphisms of juveniles foraging in Port Fourchon, Louisiana (LA, n = 127) and Santa Rosa Island, Florida (SRI, n = 47). We collected additional genetic data for previously characterized neritic aggregations in southern Texas (TX, n = 167), St. Joseph Bay, Florida (SJB, n = 174) and southwestern Florida (SWFL, n = 96). We assessed genetic structure among these sites, incorporating published data from a surface-pelagic (SP) aggregation offshore of Louisiana through Florida and a neritic aggregation from the Big Bend region of Florida (BB). We estimated source contributions to aggregations with new genetic data using a Bayesian many-to-one mixed stock analysis (MSA) approach. This data set contains passive induced transponder (PIT) tag number, sampling site information, capture date, control region (CR) haplotype, mitochondrial short tandem repeat (mtSTR) haplotype, and mitogenetic haplotype for each turtle.

Mitochondrial DNA markers have elucidated patterns of connectivity between green turtle nesting populations (rookeries) and juveniles foraging in neritic nursery habitats. However, missing rookery baseline data and haplotype sharing among populations have often impeded inferences, including ascertaining origins of Gulf of Mexico juveniles. We sequenced the mitochondrial control region and additional informative mitogenomic single nucleotide polymorphisms of juveniles foraging in Port Fourchon, Louisiana (LA, n = 127) and Santa Rosa Island, Florida (SRI, n = 47). We collected additional genetic data for previously characterized neritic aggregations in southern Texas (TX, n = 167), St. Joseph Bay, Florida (SJB, n = 174) and southwestern Florida (SWFL, n = 96). We assessed genetic structure among these sites, incorporating published data from a surface-pelagic (SP) aggregation offshore of Louisiana through Florida and a neritic aggregation from the Big Bend region of Florida (BB). We estimated source contributions to aggregations with new genetic data using a Bayesian many-to-one mixed stock analysis (MSA) approach. This data set contains passive induced transponder (PIT) tag number, sampling site information, capture date, control region (CR) haplotype, mitochondrial short tandem repeat (mtSTR) haplotype, and mitogenetic haplotype for each turtle.

A study of the population genetics of giant clams of the genus Tridacna from the Great Barrier Reef and the West Pacific. Variations in gene frequencies of allozymes and common proteins were used to estimate connectivity and dispersal between populations, and to determine the phylogeny of the genus (discrete species identities). Species studied were Hippopus hippopus, Hippopus porcellanus, Tridacna crocea, Tridacna derasa, Tridacna gigas, Tridacna maxima, Tridacna squamosa and Tridacna tevora. Not all loci were examined for all species.Allele frequencies at 6 polymorphic loci of 860 individual clams sampled from 19 populations of Tridacna maxima throughout the Pacific between November 1989 and October 1991 were examined. Collection locations were: Myrmidon, Davies, Michaelmas, Thetford, 13125, 21200, 20396 and Stapleton Reefs on the Great Barrier Reef; Marovo and Nggela in the Solomon Islands; Mili in the Marshall Islands; Bantayan and Tawi-tawi in the Philippines; Te puka in Tuvalu; Abiang and Abemana in Kiribati; Makogai and Makodragi in Fiji; and Aitutaki in the Cook Islands. Loci were: LDH-1, MDH-2, PGM-2, DIA, LGG-1, GSR.Seven polymorphic loci (GPI, MDH-1, PGM, DIAPH, AK, LGG-1, LGG-2) from 159 individuals of T. gigas were sampled from 7 populations thoughout the West Pacific (Marovo, Russell, Isabel and Nggela in the Solomon Islands; Silliman in the Philippines; Abemana in Kiribati; and Mili in the Marshall Islands) and compared to data previously obtained in 1990 from 393 individuals from 6 populations (Myrmidon, Grub, Michaelmas, Thetford, 13125 and Stapleton Reefs) from the Great Barrier Reef.28-40 individuals from 14 populations of Tridacna derasa were sampled from sites on the Great Barrier Reef (2 sites from each of Myrmidon, Bowl, 13125, 21200, 20396; and one site from Michaelmas and Escape Reefs), and from one site each in the Philippines (Scarborough Shoals) and Fiji (Makogai). Gene frequencies at 9 polymorphic loci (GPI, LDH-1, MDH-1, MDH-2, PGM, DIAPH, LGG-1, ENOL, GSR)were examined.Gene frequencies at 26 loci for 8 species of giant clam were examined. Samples were obtained between November 1989 and October 1991. Source and number of individuals sampled was: Hippopus porcellanus (Philippines, 3); Hippopus hippopus (3 -Great Barrier Reef); Tridacna squamosa (8 - GBR, Fiji, Solomon Islands); Tridacna crocea (6 - GBR, Solomon Islands); Tridacna maxima (9 - GBR, Solomon Islands, Cook Islands); Tridacna gigas (9 - GBR, Solomon Islands, Kiribati); Tridacna derasa (9 - GBR, Fiji, Palau); Tridacna tevora (1- Fiji). Polymorphic loci examined were: AAT-1, AK-1, AK-2, DIA-1, ENO-1, EST-1, GPI-1, GSR-1, IDH-1, LDH-1, LDH-2, LGG-1, LGG-2, LP-1, LP-2, LP-3, MDH-1, MDH-2, ME-1, MPI-1, NDH-1, NDH-2, PGK-1, PGM-1, PGM-2. To estimate connectivity and dispersal between Tridacna populations, and to determine the discrete species identities.

This record is derived from DEC Marine Policy Branch Endnote library and spatially referenced SIER Database.

These data were compiled to study the effects of severe drought and a concurrent large wildfire on a large population of southern Pacific pond turtles living in a rapidly drying lake. The study was done in collaboration with biologists from Ecorp Consulting in Santa Ana, California with funding from the Desert Tortoise Council. Data were collected in August and September of 2014. This worksheet contains the data that were used to analyze straight-line carapace length in cm and create a histogram of the size distribution and sex ratio of the population of southern Pacific pond turtles (n = 122) in Elizabeth Lake, Los Angeles County, California (Figure 4 from manuscript.) Carapace length was measured with tree calipers accurate to within + or - 1 mm. This worksheet also contains the data that were used to estimate abundance survivorship of southern Pacific pond turtles (Actinemys pallida) in Elizabeth Lake, Los Angeles County, California, USA based on daily survivorship calculations from August to September, 2014 (Figure 5 from manuscript).

These data were compiled to study the effects of severe drought and a concurrent large wildfire on a large population of southern Pacific pond turtles living in a rapidly drying lake. The study was done in collaboration with biologists from Ecorp Consulting in Santa Ana, California with funding from the Desert Tortoise Council. Data were collected in August and September of 2014. This worksheet contains the data that were used to analyze straight-line carapace length in cm and create a histogram of the size distribution and sex ratio of the population of southern Pacific pond turtles (n = 122) in Elizabeth Lake, Los Angeles County, California (Figure 4 from manuscript.) Carapace length was measured with tree calipers accurate to within + or - 1 mm. This worksheet also contains the data that were used to estimate abundance survivorship of southern Pacific pond turtles (Actinemys pallida) in Elizabeth Lake, Los Angeles County, California, USA based on daily survivorship calculations from August to September, 2014 (Figure 5 from manuscript).

This record is derived from DEC Marine Policy Branch Endnote library and spatially referenced SIER Database.