Bone collagen carbon (δ¹³C), nitrogen (δ¹⁵N) and non-exchangeable hydrogen (δ²H) values of humans, domestic cats (Felis catus), and other animals, were analysed from Late Roman – Early Byzantine (c. AD 350 –700) contexts at Sagalassos in Turkey. Analysed specimens include domesticated animals such as dogs, pigs, sheep, goats, cattle, chickens and geese, a selection of wild taxa, and small animals that likely served as prey for cats. δ²H values, a sparsely utilized isotopic proxy in archaeological research, provide extra information relating to diet, imbibed water sources, and trophic position to help discriminate the isotopic niches of different species. As cats are hyper¬carnivores and non-obligate drinkers, their δ²H values are likely mainly dictated by their diets, which is evident in their relatively high values compared to most other species. Bayesian dietary mixing modelling using all three isotopic proxies was conducted on 16 individual cats to estimate how much of their dietary protein was derived from domestic animals, fish, or hunted small prey. Model results indicate that on average cats consumed mostly domesticated animal meats (~40 ± 20%) provisioned by humans, but supplemented their diets by hunting small commensal and wild prey. Interestingly, the δ¹³C, δ¹⁵N and δ²H isotopic niche spaces of humans overlap the most with cats (92.2%, α = 0.95) compared to any other animal including domestic dogs, suggesting especially inter¬twined cat-human relationships in western Anatolia between the 4th – 7th centuries AD.
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RBINS Staff Publications 2025
Recently, it has been shown that commercial fisheries target specific size/age classes, causing a loss of genetic diversity as well as altering life cycles (fisheries-induced evolution). This represents a serious threat for the future of commercial stocks. Such features have also been observed in the North Sea stocks of sole (Solea solea), which have been overfished in the past 20 years. For example, heavy fishing pressure has led to smaller individuals. Given its commercial importance in the North Sea fishery, a larger effort has to be made to preserve this valuable resource. To improve sole stock management, managers would benefit from an upgraded biological assessment of population structure and connectivity patterns. We will address the following questions: 1. Does larval dispersal vary in time and space? 2. What biotic and abiotic factors are driving larval connectivity? And once known, 3. Can we predict the impact of changes in physical and biological drivers? 4. Can we define sub-populations based on connectivity patterns? My research project aims at filling those gaps, by focusing on population connectivity at the larval and postlarval stages. A suite of 200 highly variable SNPs (Single Nucleotide Polymorphisms) and state-of-the-art genotyping (Illumina-Veracode) will be employed to investigate the population structure of sole at a regional scale (<150km) within the North Sea and eastern English Channel. Additional insights will be gained by otolith microchemistry, used to trace the movement of single individuals between spawning and nursery grounds. Temporal variability will be studied through the combination of two years of intensive sampling and historical datasets spanning the last two decades. Finally, results of hydrodynamic modelling of larval dispersal will be compared to collected data in order to investigate the role of selected biotic and abiotic factors in driving connectivity. Overall, this study will help the sustainable management of the fishery by defining significant ecological units, while the molecular markers will allow tracing any fish present on the market to its origin, hence fighting illegal fishing.
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RBINS Staff Publications
Recently, it has been shown that commercial fisheries target specific size/age classes, causing a loss of genetic diversity as well as altering life cycles (fisheries-induced evolution). This represents a serious threat for the future of commercial stocks. Such features have also been observed in the North Sea stocks of sole (Solea solea), which have been overfished in the past 20 years. For example, heavy fishing pressure has led to smaller individuals. Given its commercial importance in the North Sea fishery, a larger effort has to be made to preserve this valuable resource. To improve sole stock management, managers would benefit from an upgraded biological assessment of population structure and connectivity patterns. We will address the following questions: 1. Does larval dispersal vary in time and space? 2. What biotic and abiotic factors are driving larval connectivity? And once known, 3. Can we predict the impact of changes in physical and biological drivers? 4. Can we define sub-populations based on connectivity patterns? My research project aims at filling those gaps, by focusing on population connectivity at the larval and postlarval stages. A suite of 200 highly variable SNPs (Single Nucleotide Polymorphisms) and state-of-the-art genotyping (Illumina-Veracode) will be employed to investigate the population structure of sole at a regional scale (<150km) within the North Sea and eastern English Channel. Additional insights will be gained by otolith microchemistry, used to trace the movement of single individuals between spawning and nursery grounds. Temporal variability will be studied through the combination of two years of intensive sampling and historical datasets spanning the last two decades. Finally, results of hydrodynamic modelling of larval dispersal will be compared to collected data in order to investigate the role of selected biotic and abiotic factors in driving connectivity. Overall, this study will help the sustainable management of the fishery by defining significant ecological units, while the molecular markers will allow tracing any fish present on the market to its origin, hence fighting illegal fishing.
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RBINS Staff Publications
