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Depositing skeletal remains in Czech and Moravian ossuaries and associated climatic variations

Published online by Cambridge University Press:  30 September 2024

Václav Smrčka
Affiliation:
Institute for History of Medicine and Foreign Languages, First Faculty of Medicine, Charles University, U nemocnice 4, 121 08, Prague 2, Czech Republic
Martin Mihaljevič*
Affiliation:
Institute of Geochemistry, Mineralogy and Mineral Resources, Faculty of Science, Charles University, Albertov 6, 128 43 Prague 2, Czech Republic
*
Corresponding author: Martin Mihaljevič; Email: mihal@natur.cuni.cz
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Abstract

Samples of the bones of 47 individuals from 46 Czech and Moravian ossuaries were dated by the 14C method and analyzed for the collagen isotopic composition of carbon (δ13C) and nitrogen (δ15N). Most of the data for the ages of the remains corresponded to the cooler and damper periods described over the past 1000 years. Of the studied samples, the greatest number of remains corresponded to the Spörer (1400–1570), Dalton (1790–1830) and Wolf minima (1280–1350). One sample studied falls within the Maunder minimum (1645–1715). It can be assumed that these minima are connected with a reduced production of food and fodder, that may have initiated famines, epidemics and armed conflicts. Individual climatic minima showed positive correlations between δ13C and δ15N values, indicating that the individuals studied consumed complementary plant or animal diets to different degrees. The elevated δ15N values in our studied samples compared to the skeletal compositions of the population of the La Tène period (380 – 150 BC) and Germanic inhabitants in the territory of Bohemia (5th–6th centuries AD) and Great Moravia (9th–early 10th centuries AD) might reflect the effect of greater consumption of animal proteins or the proteins of omnivorous animals and fish, which compensated for the lack of plant foodstuffs during the colder periods.

The isotopic composition of carbon and nitrogen of the bone collagen for the Spörer and Dalton minima differs from the Wolf minimum. The younger minima show higher δ15N values for a given δ13C value.

Type
Research Article
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of University of Arizona

Introduction

Cool and warm climatic fluctuations occurred in the period between the turn of the 1st millennium and the present time, in relation to solar activity, global mechanics, greenhouse gas levels or volcanic phenomena (e.g., Miller et al. Reference Miller, Geirsdóttir, Zhong, Larsen, Otto-Bliesner, Holland, Bailey, Refsnider, Lehman, Southon, Anderson, Björnsson and Thordason2012). These changes have been documented, e.g., by fluctuations in the 14C content of the atmosphere (Stuiver et al. Reference Stuiver, Reimer, Bard, Beck, Burr, Hughen, Kromer, McCormac, van der Plicht and Spurk1998), the calculated solar flux (Schmidt et al. Reference Schmidt, Jungclaus, Ammann, Bard, Braconnot, Crowley, Delaygue, Joos, Krivova, Muscheler, Otto-Bliesner, Pongratz, Shindell, Solanki, Steinhilber and Vieira2011), or proxy reconstruction and modelling of temperature trends (e.g., Jones et al. Reference Jones, Briffa, Barnet and Tett1998). The following important climatic fluctuations have been recorded in this period (event – beginning – end): Oort minimum (1010–1050), Medieval maximum (temperature fluctuation 1100–1250), Wolf minimum (1280–1350), Spörer minimum (1400–1570), Maunder minimum (1645–1715), and also the Dalton minimum (1790–1830) and the Modern maximum (1950–2009) (e.g. Camenisch et al. Reference Camenisch, Keller, Salvisberg, Amann, Bauch, Blumer, Brázdil, Brönnimann, Büntgen, Campbell, Fernández-Donado, Fleitmann, Glaser, González-Rouco, Grosjean, Hoffmann, Huhtamaa, Joos, Kiss, Kotyza, Lehner, Luterbacher, Maughan, Neukom, Novy, Pribyl, Raible, Riemann, Schuh, Slavin, Werner and Wetter2016; Degroot Reference Degroot2018; Eddy Reference Eddy1976a; Usoskin et al. Reference Usoskin, Arlt, Asvestari, Hawkins, Käpylä, Kovaltsov, Krivova, Loskwood, Mursula, O´Reilly, Scott, Sokolov, Solanki, Soon and Vaquero2015). The period encompassing the last three cold fluctuations, i.e., 14–18th centuries, has been termed the Little Ice Age (LIA). However, the periods of the individual climatic minima can be defined in terms of various ranges. For example, the Spörer minimum has been defined as the period 1400–1510 (Eddy Reference Eddy and Williams1976b; Jiang and Xu Reference Jiang and Xu1986), 1420–1570 (Kappas Reference Kappas2009), or 1460–1550 (Eddy Reference Eddy1976a). Similarly, it can be assumed that the boundaries of the other minima exhibited variations because, until the 18th century, the determined solar activity could have been accompanied by a substantial error (Vaquero et al. Reference Vaquero, Gallego, Usoskin and Kovaltsov2011).

Cool fluctuations are also demonstrated by other climate proxies (e.g., thermophilic algal shells, δ18O speleothem, charcoal abundance in sediments, or the abundance of selected pollen (Degroot et al. Reference Degroot, Anchukaitis, Bauch, Burnham, Carnegy, Cui, de Luna, Guzowski, Hambrecht, Huhtamaa, Izdebski, Kleemann, Moesswilde, Neupane, Newfieldm, Pei, Xoplaki and Zappia2021; Izdebski et al. Reference Izdebski, Guzowski, Poniat, Masci, Palli, Vignola, Bauch, Cocozza, Fernandes, Ljungqvist, Newfield, Seim, Abel-Schaad, Alba-Sánchez, Björkman, Brauer, Brown, Czerwiński, Ejarque, Fiłoc, Florenzano, Fredh, Fyfe, Jasiunas, Kołaczek, Kouli, Kozáková, Kupryjanowicz, Lagerås, Lamentowicz, Lindbladh, López-Sáez, Luelmo-Lautenschlaeger, Marcisz, Mazier, Mensing, Mercuri, Milecka, Miras, Noryśkiewicz, Novenko, Obremska, Panajiotidis, Papadopoulou, Pędziszewska, Pérez-Díaz, Piovesan, Pluskowski, Pokorny, Poska, Reitalu, Rösch, Sadori, Sá Ferreira, Sebag, Słowiński, Stančikaitė, Stivrins, Tunno, Veski, Wacnik and Masi2022; Zonneveld et al. Reference Zonneveld, Harper, Klűgel, Chen, De Lange and Versteegh2024). Cool fluctuations with social responses are also described in the 1st millennium AD (Zonneveld et al Reference Zonneveld, Harper, Klűgel, Chen, De Lange and Versteegh2024). This suggests a repetition of cold periods in both millennia and thus and the repetition of the climate thousand-year cycle, evidenced using different methods. Since we were also looking for support in dietary habits to repeat the climatic thousand-year cycle, we chose to compare the diet of the Lombards in the cold period of the 6th century AD and the diet of the population in La Tène (4th–1st BC) in the cold period of the 1st millennium BC, when it turned out that cereals of the C3 photosynthetic cycle (wheat) were replaced by cereals of the C4 photosynthetic cycle (millet).

Cold and damp fluctuations result in the reduction of agricultural production, which leads to a lack of food for humans and, especially, the impossibility of harvesting ripe and dry grain. The situation is similar with fodder for cattle with the impossibility of planting, drying and subsequently storing these products. Abnormal dampness complicates the extraction of salt as an essential conservation agent. This all leads to stagnation of economic growth, which is subsequently manifested in epidemics, famines, armed conflicts and a substantial reduction in the population. At the same time, it should be noted that pandemic-related climate fluctuations may have had devastating effects in some areas but may have been avoided in other areas (Izdebski et al. Reference Izdebski, Guzowski, Poniat, Masci, Palli, Vignola, Bauch, Cocozza, Fernandes, Ljungqvist, Newfield, Seim, Abel-Schaad, Alba-Sánchez, Björkman, Brauer, Brown, Czerwiński, Ejarque, Fiłoc, Florenzano, Fredh, Fyfe, Jasiunas, Kołaczek, Kouli, Kozáková, Kupryjanowicz, Lagerås, Lamentowicz, Lindbladh, López-Sáez, Luelmo-Lautenschlaeger, Marcisz, Mazier, Mensing, Mercuri, Milecka, Miras, Noryśkiewicz, Novenko, Obremska, Panajiotidis, Papadopoulou, Pędziszewska, Pérez-Díaz, Piovesan, Pluskowski, Pokorny, Poska, Reitalu, Rösch, Sadori, Sá Ferreira, Sebag, Słowiński, Stančikaitė, Stivrins, Tunno, Veski, Wacnik and Masi2022).

Ossuaries are a priceless source of information for anthropological, bioarchaeological and paleopathological studies of skeletal material (e.g., Drozdová et al. Reference Drozdová, Brzobohatá, Fialová and Boberová2018; Kostova et al. Reference Kostova, Popkonstantinov, Schroeder, Willerslev, Sultanov, Kazan and Higham2020; Matiegka Reference Matiegka1896). If the remains are stored, they can preserve information contained in the contents of 14C and δ13C, in the elemental composition or in other isotope systems for centuries. The material was usually stored in ossuaries after being removed from overcrowded graveyards after they are modified for other uses.

Together with other parameters (the trace element composition, the ratio of Sr isotopes), the ratio of the stable isotopes of carbon (13C/12C) and nitrogen (15N/14N) are important proxy parameters for understanding historical human foodstuffs and determining the social status of individuals (Ambrose and DeNiro Reference Ambrose and DeNiro1986; Bird et al. Reference Bird, Haig, Ulm and Wurster2022; Le Huray and Schutkowski Reference Le Huray and Schutkowski2005; Schoeninger et al. Reference Schoeninger, DeNiro and Tauber1983). The consumption of continental foodstuffs is manifested in the isotope composition of carbon (δ13C), and especially the various consumptions of C3 and C4 plants, which differ in their photosynthetic pathways and discrimination of 13C during its fixation from CO2 (Kortschak et al. Reference Kortschak, Hartt and Burr1965; Smith and Epstein Reference Smith and Epstein1971). There is discrimination in the isotopes of nitrogen between the heavier isotope (15N) by 2–5‰ δ15N between the individual levels of the trophic pyramid (e.g. Schoeninger and DeNiro Reference Schoeninger and DeNiro1984) and the dietary composition of the isotope composition of nitrogen, which is reflected especially in the ratio of the consumption of plant and animal proteins and, potentially, proteins from aquatic sources (e.g. Lee-Thorp Reference Lee-Thorp2008). However, the isotopic composition of dietary nitrogen can be influenced by the composition of crop derived proteins from cereals grown on fertilized areas. Manure application significantly increases δ15N in cereal grains and this trend has been demonstrated since the Neolithic period (Bogaard et al. Reference Bogaard, Heaton, Poulton and Merbach2007, Reference Bogaard, Fraser, Heaton, Wallace, Vaiglova, Charles, Jones, Evershed, Styring, Andersen, Arbogast, Bartosiewicz, Gardeisen, Kanstrup, Maier, Marinova, Ninov, Schäfer and Stephan2013; Dreslerová et al. Reference Dreslerová, Hajnalová, Trubač, Chuman, Kočár, Kunzová and Šefrna2021). Experiments show that in intensively fertilized fields, δ15N in cereal grains can increase by up to 10‰ (Bogaard et al. Reference Bogaard, Heaton, Poulton and Merbach2007; Kanstrup et al. Reference Kanstrup, Thomsen, Andersen, Bogaard and Christensen2011). In paleodietary reconstructions, this should therefore be considered as important as animal protein consumption (Bogaard et al. Reference Bogaard, Fraser, Heaton, Wallace, Vaiglova, Charles, Jones, Evershed, Styring, Andersen, Arbogast, Bartosiewicz, Gardeisen, Kanstrup, Maier, Marinova, Ninov, Schäfer and Stephan2013).

This work was carried out to determine the age of skeletal remains in selected Czech and Moravian ossuaries and discover how they are connected with climatic phenomena, epidemics, viral and bacterial infections and, potentially, armed conflicts in this area. In particular, we want to know, if the age of the studied bone samples does not lie in one of the periods whose climate was unfavorable for agriculture in the temperate zone due to temperature and precipitation.

Simultaneously, we studied the isotope composition of bone collagen (δ13C and δ15N) to determine the effect of climatic variations on the availability of plant and animal foods consumed by individuals and compared their food with the populations living in the territory of Bohemia and Moravia. Alternatively, we wanted to determine whether the isotopic composition of nitrogen and carbon, i.e., the composition of the diet, is dependent on the period of death of a given individual. At the same time, it should be taken into account that there may have been warm spells during the individual minima, or that temperature minima may have occurred only in some areas and not in others. Alternatively, climatic events may have influenced activities quite different from those related to food production.

Material and methods

Bone samples (a total of 47 samples, Table 1, Figure 1) were collected in 2018–2019. The samples were preferentially taken from damaged skulls with healed or unhealed injuries (36 samples) and also from a tibia (5 samples), a finger (1 sample), a rib (1 sample), a pelvis (1 sample) and a femur (1 sample) and unidentified samples (2). The samples were collected at random in relation to the availability and undamaged sets in which they were deposited in the ossuaries. Thus, the collected samples need not represent skeletons of predominant ages or the period when the ossuaries were used to a greater degree.

Table 1. Locations, sample type, sex, estimated age of the individual, 14C age, δ13C, δ15N and assignment to the climatic minimum

Figure 1. Map of sampled Bohemian and Moravian ossuaries.

The sex was estimated for the samples on the basis of the prominence of the superciliary arches and the temporal bones (Stloukal et al. Reference Stloukal, Dobisíková, Kuželka, Stránská, Velemínský, Vyhnánek and Zvára1999). The ages of the individuals were estimated according to the closing of the cranial sutures (Linc Reference Linc1971; Stloukal et al. Reference Stloukal, Dobisíková, Kuželka, Stránská, Velemínský, Vyhnánek and Zvára1999).

14C dating of samples

The ages (14C) of the skeletal samples were determined in the Poznan Radiocarbon Laboratory by the AMS method. The ages were determined from the collagen separated from the individual samples in the same laboratory, according to the methodology originally described by Longin (Reference Longin1971) and adapted from Piotrowska and Goslar (Reference Piotrowska and Goslar2002). The samples were crushed to the <0.3 mm fraction. Subsequently, the bones were extracted in 0.5 M HCl for ca. 15 min, and the suspension was washed with water. After separation of the solution, the suspension was washed with 0.1 M NaOH. The solid phase was repeatedly washed with distilled water and then infused with HCl (pH = 3) at 80ºC for ca. 12 hours. The obtained solution was separated from the residual solid phase by filtration, which was dried; the obtained collagen was transferred to a suitable glass vessel.

The 14C activity was measured by oxidizing to CO2 in quartz ampoules with CuO and an Ag wool, the obtained CO2 was reduced with hydrogen and Fe (as a catalyst) over graphite. The formed mixture of graphite and Fe was prepared for measurements on a special target holder in an Ar protective atmosphere (Czernik and Goslar Reference Czernik and Goslar2001).

The actual activity of 14C was determined using a Compact Carbon AMS spectrometer (National Electrostatics Corporation, USA). The measurement was performed by comparing the intensities of the ionic beams of 14C, 13C and 12C measured for each sample and for standard samples (modern standard: “Oxalic Acid II” and standard of 14C-free carbon: “background”). In each AMS run, 30–33 samples of unknown age were measured, alternating with measurements of 3-4 samples of the modern standard and 1–2 background samples. When organic samples are dated, the background is represented by coal, while, for carbonate samples, the background is represented by the IAEA C1 sample (Goslar et al. Reference Goslar, Czernik and Goslar2004).

The 14C age and radiocarbon curve were calibrated using IntCal20 (Reimer et al. Reference Reimer, Austin, Bard, Bayliss, Blackwell, Ramsey, Butzin, Cheng, Edwards, Friedrich, Grootes, Guilderson, Hajdas, Heaton, Hogg, Hughen, Kromer, Manning, Muscheler, Palmer, Pearson, van der Plicht, Reimer, Richards, Scott, Southon, Turney, Wacker, Adolphi, Buntgen, Capano, Fahrni, Fogtmann-Schulz, Friedrich, Kohler, Kudsk, Miyake, Olsen, Reinig, Sakamoto, Sookdeo and Talamo2020). The results were presented at a probability level of 95.4%. All ages reported hereafter are calibrated years of Anno Domini (AD).

Determination of δ13C and δ15N in collagen samples

The elementary and stable isotopic compositions of nitrogen and carbon in the collagen samples were determined using a Thermo Flash 2000 elemental analyser connected to a Thermo Delta V Advantage (Thermoscientific, Germany) isotope ratio mass spectrometer in a Continuous Flow IV system in the isotopic laboratory of Institute of Geochemistry, Mineralogy and Mineral Resources, Charles University. Samples wrapped in tin capsules were combusted and the released gases (CO2, N2) split in a GC column were transferred to the MS source through a capillary. The isotope ratios are reported as delta (δ) values and expressed relative to VPDB for δ13C and to atmospheric nitrogen for δ15N. The raw δ13C and δ15N values were normalized to the scale using a multiple-point linear regression based on certified international reference materials IAEA-CH-6, IAEA-CH-3 and IAEA-600 (International Atomic Energy Agency, Vienna) for carbon and IAEA-N-2, IAEA-N-1 and IAEA-NO-3 (International Atomic Energy Agency, Vienna) for nitrogen, run during the same sequence. The analytical precision, expressed as the long reproducibility for the homogenous standards, was within ±0.2 ‰ for both δ13C and δ15N.

Results and discussion

The collected samples were taken primarily from injured and unhealed skulls (36 samples), where only 3 samples (Budyně 16,170 and Broumov II-13, Table 1) of injured skulls exhibited subsequent healing; samples were also taken from a tibia, rib, pelvis, fingers and femurs.

Table S1 gives an estimate of the number of skeletons (individuals) in the individual ossuaries. The largest sampled ossuaries were those in Sedlec (50,000 individuals), Kolín, Mělník and Mikulov, which contain the remains of approximately 10,000 individuals. In contrast, the smallest collections were those in Kostelec nad Ohří (50–100 individuals) and Budyně nad Ohří (160 individuals), Mnichov (50–100 individuals) and Lidéřovice (50–100 individuals). The radiometric ages of most of the samples lie in the period between 1219 and 1928. Figure 2 shows the individual samples and their radiometric ages (before present (BP) and ages (AD) based on the calibration model (Reimer et al Reference Reimer, Austin, Bard, Bayliss, Blackwell, Ramsey, Butzin, Cheng, Edwards, Friedrich, Grootes, Guilderson, Hajdas, Heaton, Hogg, Hughen, Kromer, Manning, Muscheler, Palmer, Pearson, van der Plicht, Reimer, Richards, Scott, Southon, Turney, Wacker, Adolphi, Buntgen, Capano, Fahrni, Fogtmann-Schulz, Friedrich, Kohler, Kudsk, Miyake, Olsen, Reinig, Sakamoto, Sookdeo and Talamo2020). From the age values, the definition of the individual minima and the calibration curve showing the plateau or decline in the atmospheric 14C value, it can be seen that most of the samples correspond to the fundamental climatic minima that have been observed in the northern hemisphere, i.e., the Wolf, Spörer, Maunder and Dalton minima.

Figure 2. 14C dating of deposited skeletal material from ossuaries in the Czech Republic.

The minimum and maximum ages of some samples approach the interval of the temperature minima, but do not exactly correspond to their spans. These applies to the sample from a skull from Mělník (1717–1785), the sample from a skull from Třešť (1717–1784) and the sample from a skull from Putim (1717–1782). The lower limits of the ages of these samples approach the end of the Maunder minimum (1645–1717) and the upper limits approach the beginning of the Dalton minimum (1790–1830). Because the minima themselves have variously defined spans (e.g., Eddy Reference Eddy1976a, 1976b; Jiang and Xu Reference Jiang and Xu1986; Kappas Reference Kappas2009), it can be assumed that the duration of the effect of these fluctuations lasted beyond their determined intervals.

Bones dated to the time of the Wolf minimum (1280–1350) were identified in the ossuaries in Kostelec nad Ohří (skull), Žehuň (skull), Kašperské hory (skull), Broumov (skull) and Nížkov (finger bone), Sedlec (skull), Skřípel (skull) Kotouň (skull), Malín (tibia) and Chlum sv. Máří (skull) (Figure 2). Epidemics occurring in the Wolf minimum are documented in the Zbraslav Chronical (Durynský and Žitavský, Reference Durynský and Žitavský1305–1339), but their etiology is not known. A plague epidemic appeared, originally in isolated patches, in the period from 1250 to the beginning of the 14th century; after 1312, a related plague epidemic appeared in Germany and subsequently, in 1318, in Bohemia (Kahudová Reference Kahudová1967). The large scale “plaque epidemics” on a large scale were caused by a compromised immunity of the whole population, which occurred in connection with famines. Famines are described in the Chronicle of Cosmas to the beginning of the 12th century, and in the Zbraslav Chronicle (Durynský and Žitavský, Reference Durynský and Žitavský1305–1339) almost until the middle of the 14th century.

The infection associated with famines was paleopathologically identified through the signatures of typhoid lesions on tibial planes as typhoid fever (Salmonella typhi) and was documented in the ossuaries in Nížkov, Malín, Sedlec and Kotouň. In all of them, dating pointed to the year 1345 ± 30 (Smrčka et al. Reference Smrčka, Musilová and Hořejš2020)

The bubonic plague (Yersin plague) had the greatest intensity in Europe in 1348–1351; accompanying phenomena such as high prices and hunger were recorded, not only in Bohemia, but also in neighbouring countries (Kahudová Reference Kahudová1967). The bacteria Yersinia pestis caused pandemics in waves that returned in cycles until the beginning of the 18th century (Rascovan et al. Reference Rascovan, Sjögren, Kristiansen, Nielsen, Willerslev, Deanues and Rasmussen2019; Rasmussen et al. Reference Rasmussen, Allentoft, Nielsen, Orlando, Sikora, Sjögren, Nielsen, Pedersen, Schubert, Van Dam, Kapel, Nielsen, Brunak, Avetisyan, Epimakhov, Khalyapin, Gnuni, Kriiska, Lasak, Metspalu, Moiseyev, Gromov, Pokuta, Saag, Varul, Yepiskoposyan, Sicheritz-Pontén, Foley, Lahr, Nielsen, Kristiansen and Willerslev2015). The end of the Wolf Minimum is linked to the Black Death pandemic, which killed tens of millions of people in Europe and Asia (Aberth Reference Aberth2021). However, this epidemic had significant regional variations, while in some areas we observe a decline in agriculture, in others an increase in agricultural production is documented (Izdebski et al, Reference Izdebski, Guzowski, Poniat, Masci, Palli, Vignola, Bauch, Cocozza, Fernandes, Ljungqvist, Newfield, Seim, Abel-Schaad, Alba-Sánchez, Björkman, Brauer, Brown, Czerwiński, Ejarque, Fiłoc, Florenzano, Fredh, Fyfe, Jasiunas, Kołaczek, Kouli, Kozáková, Kupryjanowicz, Lagerås, Lamentowicz, Lindbladh, López-Sáez, Luelmo-Lautenschlaeger, Marcisz, Mazier, Mensing, Mercuri, Milecka, Miras, Noryśkiewicz, Novenko, Obremska, Panajiotidis, Papadopoulou, Pędziszewska, Pérez-Díaz, Piovesan, Pluskowski, Pokorny, Poska, Reitalu, Rösch, Sadori, Sá Ferreira, Sebag, Słowiński, Stančikaitė, Stivrins, Tunno, Veski, Wacnik and Masi2022).

The cold fluctuation designated as the Spörer minimum (1400–1570) witnessed increased deposition of skeletal material in Czech and Moravian ossuaries in Kolín, Velká Losenice, Mikulov, Budyně, Hrádek u Znojma, Annín, Letařovice, Vamberk, Smečno, Kouřim, Křtěnov, Řesanice, Kotouň and Mnichov (near Karlovy Vary) (in 14 ossuaries a total of 18 dated 14C samples, Figure 2).

The coldest decade of the Spörer minimum is defined as the period after 1440 (Camenisch et al. Reference Camenisch, Keller, Salvisberg, Amann, Bauch, Blumer, Brázdil, Brönnimann, Büntgen, Campbell, Fernández-Donado, Fleitmann, Glaser, González-Rouco, Grosjean, Hoffmann, Huhtamaa, Joos, Kiss, Kotyza, Lehner, Luterbacher, Maughan, Neukom, Novy, Pribyl, Raible, Riemann, Schuh, Slavin, Werner and Wetter2016). Plant production decreased in a number of European countries as a result of long winters and frequent precipitation. This resulted in a sharp increase in prices, stagnation of trade and an increase in the number of armed conflicts (Camenisch et al. Reference Camenisch, Keller, Salvisberg, Amann, Bauch, Blumer, Brázdil, Brönnimann, Büntgen, Campbell, Fernández-Donado, Fleitmann, Glaser, González-Rouco, Grosjean, Hoffmann, Huhtamaa, Joos, Kiss, Kotyza, Lehner, Luterbacher, Maughan, Neukom, Novy, Pribyl, Raible, Riemann, Schuh, Slavin, Werner and Wetter2016). It is apparent that more people died during the Spörer minimum than in the previous century. It was similarly cold in the 16th century when poor harvests and hunger reduced the resistance of the population to infection. In this period, plague was apparently a factor in Bohemia in the years: 1502, 1505, 1507, 1520–1521, 1530–1531, 1542, 1551–1553, 1553–1555, 1557–1558, 1561–1563, 1564, 1566–1569, 1571–1573, 1580, 1581–1582, 1584–1585, 1592 and 1597–1599. In 1582, 30,000 people died in Prague, corresponding to half of the inhabitants, while 20,000 people died in the other Czech cities (Chlumská et al. Reference Chlumská, Kábrt, Poláčková, Rozsívalová, Šplíchalová and Vojtová1965; Fialová et al. Reference Fialová, Horská, Kučera, Maur, Musil and Stloukal1998). Most influenza epidemics were followed by bacterial plague epidemics, mostly following influenza (1561 and 1584). These influenza epidemics had common symptoms—fever, stomach pains, diarrhea and nasal bleeding (Short Reference Short and Thompson1890). Major eruptions of Hekla (1510) and Etna (1510 and 1580) also occurred in this period (Sigurdsson et al. Reference Sigurdsson, Houghton, Rymer, Stix and McNutt1999).

An increased amount of skeletal material was also deposited in nine Czech and Moravian ossuaries in the Maunder minimum (1645–1715) (Figure 2). There is no doubt that a substantial portion of the increase in remains from this period occurred as a result of armed conflicts associated with the Thirty-Year War. However, this fluctuation also occurred during the coldest century of LIA (17th century) and, simultaneously, the greatest number of cold decades in the northern hemisphere occurred in this century: 1691–1700, 1601–1610, 1641–1650 (Jones et al. Reference Jones, Briffa, Barnet and Tett1998). Consequently, there was an increase in the number of bacterial infections, especially plague, and also famines (1677, 1684, 1692–1696). For example, the famine of 1692–1696 in Bohemia was less drastic than that in France, where it grew to terrifying proportions and led to social unrest (Fialová et al. Reference Fialová, Horská, Kučera, Maur, Musil and Stloukal1998). The famine was exacerbated by a locust invasion in 1693 (Mašková-Janotová and Tošnerová Reference Mašková-Janotová and Tošnerová2017). This period witnessed one of the largest eruptions of Etna in 1669 (Sigurdsson et al. Reference Sigurdsson, Houghton, Rymer, Stix and McNutt1999). Two influenza epidemics also occurred in the 17th century, in April of 1658 (Willis Reference Willis and Thompson1890) and in the autumn of 1675 (Sydenham Reference Sydenham and Thompson1890). A new kind of fever affecting the brain and nerves appeared in the summer of 1658 (Willis Reference Willis and Thompson1890). Another major eruption of Etna occurred in 1675 (Sigurdsson et al. Reference Sigurdsson, Houghton, Rymer, Stix and McNutt1999), followed by widespread bacterial dysentery infections (1677). Further influenza epidemics occurred in 1688 and 1693 (Molyneaux 1890). Plague epidemics occurred again in Bohemia in 1602, 1604, 1606–1607 to 1613, 1616, 1620, 1622–1623, 1632, 1655, 1665 and 1679–1680 and affected 70% of children under 15 years of age. Some were of only local extent, such as that in 1665, which occurred at the same time as the well-known London plague, the last one in Western Europe. However, a demographic crisis resulted from the epidemic in 1679–1680, when 12 thousand people died in Prague, i.e., one third of the inhabitants of Prague (Černý Reference Černý2014; Chlumská et al. Reference Chlumská, Kábrt, Poláčková, Rozsívalová, Šplíchalová and Vojtová1965; Fialová et al. Reference Fialová, Horská, Kučera, Maur, Musil and Stloukal1998).

Ages corresponding to the Dalton minimum (1790–1830) were found for the skull samples from Třebívlice, Žehuň, Zdislavice, Plumlov, Páleček, Páleč, Velíš, Bohuslavice, Červený Kostelec, Lidéřovice, the pelvis sample from the ossuary in Náklo and the tibia sample from the ossuary in Lukavice (Figure 2). The Dalton minimum is fundamentally similar to the Maunder minimum. Nonetheless, solar activity was not as weak during the Dalton minimum and the climate was affected more by volcanic activity (Wagner and Zorita Reference Wagner and Zorita2005). The war of the Bavarian succession between Prussia and Austria took place in Bohemia at this time (Stellner Reference Stellner1998). In particular, the north-western front of this conflict with a fortified line between Ústí nad Labem and Milešovka Mountain could have affected the skeletal remains in the ossuary in Třebívlice. The other ossuaries cannot be associated with this conflict. Several influenza epidemics also occurred in the 19th century (in the spring of 1803, in June 1831, in April 1833, in January 1837, in October 1847 and from December (of 1888) to April of 1889). The influenza epidemics were followed by bacterial infections (dysentery in 1831 and cholera in 1837). The joint symptoms of the influenza epidemics in the 19th century were diarrhea, headache, nasal bleeding, loss of taste, pressure on the sternum, pneumonia or dangerous bronchial inflammation and erysipelas (Falconer Reference Falconer and Thompson1890).

Climatic fluctuations play a much more important role in the history of civilization than was thought in the past (Zhang et al. Reference Zhang, Brecke, Lee, He and Zhang2007). Especially cooling can lead to collapse of up to 80% of the agroecosystem (Zhang et al. Reference Zhang, Lee, Wang, Li, Zhang, Pei and Chen2011), which consequently loses the ability to feed the human population. During cold and wet periods, preindustrial civilization was not capable of dealing with problems connected with a shorter vegetation period, failure to ripen and impossibility of harvesting grain and drying feedstuffs and difficulty in obtaining salt as a conservation agent by evaporating sea water (Galloway 1986; Lucas Reference Lucas1930; Zhang et al. Reference Zhang, Jim, Lin, He, Wang and Lee2006). Cold and wet periods establish conditions for and initiate famines, epidemics, migration, armed conflicts and morbidity (e.g., Grolle Reference Grolle1997).

For the 1500–1800 AD period, Zhang et al. (Reference Zhang, Lee, Wang, Li, Zhang, Pei and Chen2011) compared the temperatures in the northern hemisphere determined from tree ring widths and correlated them with events in society. Mild phase 1 (1500–1559), Cold phase (1560–1660) and Mild phase 2 (1664–1800) were identified in this period, with temperature fluctuations by 0.43 σ, –0.59 σ and 0.24 σ, respectively. In these periods, they studied the ratio of grain yields to seed, the price of grain, magnitude of agricultural production, wage index, human height, number of conflicts and the number of epidemics. During the cold phase, all the indicators of growth and wellbeing decreased (the production of grain decreased by 28% and the price of grain increased by 133%). As soon as resources for a human or animal population decrease, elimination competition occurs until the group size is reduced for the remaining resources to be sufficient (Chu a Lee Reference Chu and Lee1994, Reference Chu and Lee1997). This is not different in human populations. In cold periods, the number of armed conflicts increased by 46% and there was a simultaneous 126% increase in famines and 205% increase in the number of epidemics (Zhang et al. Reference Zhang, Lee, Wang, Li, Zhang, Pei and Chen2011). Other authors have pointed out that some societies were especially sensitive to climatic fluctuations, while others were less affected and were strengthened by these negative experiences. In any case, socioeconomic bonds, the relevant institutions, culture and human behaviour are strengthened or weakened by the effects of climatic fluctuations on human society (Degroot Reference Degroot2018).

Although the correlations in these and other references need not indicate causality and connections must be sought in other demographic and anthropogenic factors, conflicts, famines and excessive mortality predominate during periods of climate change (Slavin Reference Slavin2016) and may be manifested in the deposition of skeletal remains in Bohemian and Moravian ossuaries.

The isotope compositions of carbon (δ13C) and nitrogen (δ15N) in the collagen of the studied bones are depicted in dependence on the various periods in Figure 3 and are shown in Table S2. Table S3 gives the collagen composition of the bones in relation to the estimated sex of the individuals. The isotopic compositions of carbon and nitrogen are similar in the groups divided according to sex. Women have an average of δ13C = –19.91‰, δ15N = 11.2‰ (n=3), while men have an average of δ13C = –19.53‰, δ15N = 11.58‰ (n=20); the bones of undetermined sex have an average of δ13C = –19.57‰, δ15N = 10.54‰ (n= 40). A child’s bones from the ossuary in Munich have a remote value of (δ13C = –18.88‰, δ15N = 15.31‰). The higher δ15N value is caused by nursing (Fuller et al. Reference Fuller, Fuller, Harris and Hedges2006). Some of the samples for carbon and nitrogen isotopic compositions were measured in replicates, so their numbers do not correspond to the number of 14C-dated bones.

Figure 3. The isotopic composition of carbon (δ13C) and nitrogen (δ15N) in dependence on the individual cold periods.

It is apparent in the dependences of δ13C and δ15N (Figure 3, Figure S2) that the data correspond to a trend of positive correlations of both variables, where lower values of δ13C correspond to lower δ15N, i.e., individuals that had a higher content of vegetable protein in their diets (i.e., more negative δ13C values) and simultaneously had lower consumption of animal proteins, which have higher δ15N values. The δ13C and δ15N dependencies for bone samples from each minimum are shown in Figure S2. The figure shows the tightest dependence of δ13C and δ15N values for samples from the Sporer minimum (correlation coefficient R = 0.8046), followed by samples from the Dalton minimum (R = 0.6041), and then by samples from the Wolf minimum (R = 0.4769). The entire data set shows a smaller correlation coefficient (R = 0.2289).

It is apparent from Figure 3 that the samples with low δ13C and δ15N values have carbon isotopes affected by greater consumption of plant proteins.

While δ13C reflects the contents of C3 and C4 plants in the diet (in the bones we studied, the only possible source of C4 is millet), δ15N reflects a higher content of plant and animal proteins or the character of the animal proteins, whose δ15N reflects the position of the source in the trophy chain. The higher δ15N value in the collagen samples could be caused by greater consumption of animal proteins or by the content of proteins with higher δ15N values (e.g., animal proteins, unweaned herbivores, or fish). At the same time, some isotopic work shows that the influence of animal proteins is overestimated when studying diet composition, and the fact that increased 15N in collagen may occur due to the consumption of cereals grown in fields intensively subsidized with stable manure is underestimated (e.g. Bogaard et al. Reference Bogaard, Fraser, Heaton, Wallace, Vaiglova, Charles, Jones, Evershed, Styring, Andersen, Arbogast, Bartosiewicz, Gardeisen, Kanstrup, Maier, Marinova, Ninov, Schäfer and Stephan2013; Dreslerová et al. Reference Dreslerová, Hajnalová, Trubač, Chuman, Kočár, Kunzová and Šefrna2021).

The connection between the contents of the two isotopes in dependence on the age and correspondence to the individual cold periods is demonstrated by analysis of the main component (PCA, Figure S3) and analysis of the scatter. It follows from PCA analyses that the axis of the main components has a right-left diagonal dependence of δ13C vs. δ15N and the second main component is perpendicular to it (Figure S3). Subsequent analysis of the scatter demonstrated that bones from the Wolf, Spörer and Dalton periods do not have the same parameters (p = 0.0002) and thus the composition of the bones from the Wolf minimum is different from the bones from the Spörer and Dalton minima. These two minima cannot be separated on the basis of the carbon and nitrogen isotopic composition and lower consumption of animal products can be assumed at the Wolf minimum. On the other hand, changes could have occurred in agriculture during the younger cold periods, causing the increase in the δ15N value. This shift could be caused by better fertilization, which increases the δ15N value for the fertilized plants and then in the related consumers (Bogaard et al. Reference Bogaard, Heaton, Poulton and Merbach2007; Kanstrup et al. Reference Kanstrup, Thomsen, Andersen, Bogaard and Christensen2011; Szpak et al. Reference Szpak, Longstaffe, Millaire and White2012). Izdebski et al (Reference Izdebski, Guzowski, Poniat, Masci, Palli, Vignola, Bauch, Cocozza, Fernandes, Ljungqvist, Newfield, Seim, Abel-Schaad, Alba-Sánchez, Björkman, Brauer, Brown, Czerwiński, Ejarque, Fiłoc, Florenzano, Fredh, Fyfe, Jasiunas, Kołaczek, Kouli, Kozáková, Kupryjanowicz, Lagerås, Lamentowicz, Lindbladh, López-Sáez, Luelmo-Lautenschlaeger, Marcisz, Mazier, Mensing, Mercuri, Milecka, Miras, Noryśkiewicz, Novenko, Obremska, Panajiotidis, Papadopoulou, Pędziszewska, Pérez-Díaz, Piovesan, Pluskowski, Pokorny, Poska, Reitalu, Rösch, Sadori, Sá Ferreira, Sebag, Słowiński, Stančikaitė, Stivrins, Tunno, Veski, Wacnik and Masi2022) used pollen distributions showing intensive or stagnant agriculture from dated geochemical archives (lake sediments and wetlands) to demonstrate land use changes after the 1347–1352 plague epidemic (end of the Wolf Minimum). They found that while in some areas the epidemic had devastating effects on the population and its farming (central Germany, central Italy, Scandinavia) by contrast, in other parts of Europe (e.g. Bohemia, the Baltic) there was a signal (pollen content) documenting an increase in cereal production. This jump in the rural economy could be related to the observed difference between the C and N isotopic composition of collagens of individuals from the Wolf minimum and the younger minima.

Le Huray and Schutkowski (Reference Le Huray and Schutkowski2005) provide an analysis of the δ13C and δ15N values of the bone collagen in the population living in the present-day Czech Republic, giving the composition of the collagen of the inhabitants of the La Tène period in Kutná Hora and Radovesice (380–150 BC; Figure S4), while Plecerová et al. (Reference Plecerová, Kaupová Drtikolová, Šmerda and Stloukal2020) describe the bones of the Moravian population living in the 5th–6th centuries AD (Figure S5), and Halffman and Velemínský (Reference Halffman and Velemínský2015) analysed the bones of the inhabitants of Great Moravia (9th–early 10th century AD) (Figure S6). Salesse et al. (Reference Salesse, Dufour, Castex, Velemínský, Santos, Kuchařová, Jun and Brůžek2013) give an analysis of the bones of individuals buried in the St. Benedict cemetery in Prague in the 15–18th century (Figure S7).

The population of La Tène period of Kutná Hora and Karlov (380–150 BC; Le Huray and Schutkowski Reference Le Huray and Schutkowski2005) exhibited differences in the nitrogen isotope compositions, especially in relation to the accessories in the graves. Individuals buried with swords, shields and spears exhibited higher δ15N values and it can thus be assumed that they consumed more animal proteins. In comparison with the sample from ossuaries and the population of the La Tène period (380–150 BC; Figure S4), a generally lower δ15N can be observed and thus a lesser consumption of animal products. At the same time, most of the samples of the La Tène period bones have higher δ13C values than the samples from ossuaries and several samples exhibit values of δ13C>–18‰, probably as a result of consumption of C4 plants, in this case millet (Le Huray and Schutkowski Reference Le Huray and Schutkowski2005).

The bones of the Moravian Lombard population (5th-6th centuries AD) studied by Plecerová et al. (Reference Plecerová, Kaupová Drtikolová, Šmerda and Stloukal2020) are also different from the populations of the ossuaries. Samples of the bones of Lombard population have a similar δ13C composition to the samples from ossuaries (with the exception of three samples with δ13C >–18‰ documenting the consumption of C4 plants), but lower values of δ15N (Figure S5), probably due to the effect of lower consumption of animal proteins. The greatest difference between the studied ossuary samples is apparent in comparison with the bone population of Great Moravia (9th–early 10th centuries AD) (Halffman and Velemínský Reference Halffman and Velemínský2015). The bones of the inhabitants of Great Moravia have higher δ13C values (mean males –17.8‰ PDB; females –17.9‰ PDB) and simultaneously lower δ15N values (mean male 10.3‰; mean female 9.7‰) compared with the bones of the studied ossuaries (Figure S6). The diet of the tested population contained the plant proteins of C3 and C4 plants (millet), the plant proteins of legume plants and the animal proteins of mammals, poultry and fish (Halffman and Velemínský Reference Halffman and Velemínský2015).

The compositions of the isotopes of carbon and nitrogen in the collagen of the tested bones is closest to the composition of the collagens of individuals buried in the St. Benedict cemetery (Prague, 15th–18th centuries AD; Salesse et al. Reference Salesse, Dufour, Castex, Velemínský, Santos, Kuchařová, Jun and Brůžek2013). The isotopic compositions of the collagens of the bones in this cemetery and in the ossuaries are depicted in Figure S7. Samples were taken from the individual graves (IG) and three mass graves (MG1, MG2 and MG3). In only one case did the samples in this work differ in their compositions of δ13C (IG –19.6 ‰ and MG1 –20.0 ‰), but in all cases in their values of δ15N (IG vs MG1, MG2 a MG3). The average δ15N values in the samples from IG attained 12.2‰, while MG 10.3-9.2‰. Our tested samples had average values similar to the low values of δ13C (mean = –19.57‰, n = 52). For example, Ogrinc and Budja (Reference Ogrinc and Budja2005) give δ13C for wheat and rye as –25‰. Bird et al. (Reference Bird, Haig, Ulm and Wurster2022) present values of the equivalent composition of the diets in the range of –31 to –19 ‰ for the entire set (n=1298). A value for the δ13C difference of 4.8‰ and simultaneously 1.9‰ in relation to the preindustrial atmosphere is common for the calculation of collagen in the diet (Bird et al. Reference Bird, Haig, Ulm and Wurster2022). This difference is manifested for both domestic fauna and humans. For example, for the Mikulčice Kostelisko–Czech Republic ((9th–early 10th c. AD) locality, Halffman and Velemínský (Reference Halffman and Velemínský2015) give an average collagen composition for cows, sheep, pigs and horses of –20.3; –20.5; –20.4 and –20.3‰. Because the δ13C isotopic composition of the bones varies in the range –20.3 to –18.7‰, the equivalent composition of the diet has values of –27 to –25.4 and thus corresponds to the consumption of the grains of C3 plants, their isotopic composition is lighter compared to that of seeds (e.g., Bird et al Reference Bird, Haig, Ulm and Wurster2022).

Elevated δ15N values (mean = 11.36‰, n= 52) of the collagen of the studied bones can be explained by greater consumption of animal proteins or proteins with elevated δ15N values that are exhibited by unweaned herbivores, poultry or fish (Reitsema et al. Reference Reitsema, Kozlowski and Makowietzki2013). It was common to consume fish in medieval Europe. E.g., Reitsema et al. (Reference Reitsema, Kozlowski and Makowietzki2013) give values of δ15N for freshwater fish in the range 6.6–12.1‰ (mean 9.87‰; n = 15). Dufour et al. (Reference Dufour, Bocherens and Mariotti1999) give a range for freshwater fish of δ15N 7–14.9‰ while France (Reference France1995) states values of 4–15‰ for freshwater fish, 6–13% for estuary fish and 7–14% for anadromous fish.

After 1300, the distribution of salted and dried fish (herrings and cod) spread across European medieval Europe. They were transported from coastal areas to the interior and became a cheaper alternative to freshwater fish; they were consumed especially by the poorer members of society (Adamson Reference Adamson2004). While freshwater fish mostly do not exceed values of δ15N = 15‰, in saltwater fish this parameter can be as large as 20‰ (France Reference France1995). Where the shift in the δ15N values of the diet vs collagen is usually given as 2–5‰ (Hedges and Reynard Reference Hedges and Reynard2007; Schoeninger and DeNiro Reference Schoeninger and DeNiro1984) and the average composition in the bones investigated here reaches a value of 11.36‰ (n = 52), then it is probable that this isotopic composition could also be affected by a substantial content of fish in the diet. At the same time, it cannot be overlooked that elevated δ15N values may be related to a crop derived diet produced by the practice of intensive fertilization affecting the nitrogen isotopic composition of plant proteins.

Conclusions

The ossuaries in the Czech Republic (Figure 1) have not dated bone material. Thanks to radiocarbon dating, they have been temporally classified (Figure 2), including in individual deposits.

Samples of skeletal remains collected from 46 Bohemian and Moravian ossuaries were of an age corresponding to cold climatic fluctuations in the past millennium, i.e., the Spörer, Maunder, Wolf and Dalton minima. It is possible that climatic events, associated with limited solar activity, influenced the production of plant food. Long-term dietary restrictions evolved into famines, resulting in increased mortality of 90% during solar minima but only 10% during times of increased solar activity. The population was in a demographic crisis, especially in the Medieval Cold Minima, when the Little Ice Age began. However, this fact does not necessarily mean that the bones of the studied individuals are related to the climate and its influence on agriculture and food processing and storage. The samples include individuals that died during armed conflicts, especially as a result of skull injuries, as well as individuals who survived these injuries or whose cause of death is not clear.

The values of the compositions of δ15N and δ13C have a linear dependence, indicating a predominant source of proteins. Simultaneously, the compositions of the bone collagen in the studied individuals exhibit differences in the isotopic compositions of C and N, especially between the Wolf minimum and remaining minima. These differences could be caused by the better management in smaller municipalities and as a consequence of the availability of plant proteins with a higher content of the heavier isotopes of nitrogen or greater availability of animal proteins.

The studied bones have different compositions than the populations of the La Tène period in Kutná hora and Radovesice (380–150 BC), Moravian Lombard population (5th–6th centuries AD) and the inhabitants of Great Moravia (9th–early 10th centuries AD) and are closest to the population of the 15–18th century skeletons buried in the St. Benedict cemetery in Prague.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/RDC.2024.71

Acknowledgments

The authors are grateful to the Czech Bishops’ Conference for permission to study ossuaries at a national level; Prof. Tomasz Goslar, Head of the Poznan Radiocarbon Laboratory is thanked for his kind assistance; we would also like to thank doc. PhDr. Karel Černý, PhD, Head of the Institute for History of Medicine and Foreign Languages of the 1st Faculty of Medicine of Charles University and Progres Q23 a Q45 for supporting the research. We thank our colleagues for their support in the laboratories, Lenka Vondrovicová (isotopic analyses) and Marie Fayadová (sample handling). Dr. Madeleine Štulíková, Helen Whitley and Chris Ash are thanked for reviewing the English and editing the manuscript. We thank Josef Ježek for his help with the statistical evaluation of the data, two anonymous reviewers for constructive criticism and Prof. Pavel Povinec for the editorial handling of the manuscript.

References

Aberth, J (2021) The Black Death: A New History of the Great Mortality in Europe 1347–1500. Oxford University Press, 416 pp.Google Scholar
Adamson, MW (2004) Food in Medieval Times. Westport: Greenwood Press, 256 pp.CrossRefGoogle Scholar
Ambrose, SH and DeNiro, MJ (1986) Reconstruction of African human diet using bone collagen carbon and nitrogen isotope ratios. Nature 319(23), 321324.CrossRefGoogle Scholar
Bird, MI, Haig, J, Ulm, S and Wurster, Ch (2022) A carbon and nitrogen isotope perspective on ancient human diet on the British Isles. Journal of Archeological Science 137, 105516.CrossRefGoogle Scholar
Bogaard, A, Heaton, THE, Poulton, P and Merbach, I (2007) The impact of manuring on nitrogen isotope ratios in cereals: archeological implications for reconstruction of diet and crop management practices. Journal of Archeological Science 40, 335343.CrossRefGoogle Scholar
Bogaard, A, Fraser, R, Heaton, THE, Wallace, M, Vaiglova, P, Charles, M, Jones, G, Evershed, RP, Styring, AK, Andersen, NH, Arbogast, RM, Bartosiewicz, L, Gardeisen, A, Kanstrup, N, Maier, U, Marinova, E, Ninov, L, Schäfer, M and Stephan, E (2013) Crop manuring and intensive land management by Europe´s first farmers. Proceedings of the National Academy of Sciences of the United States of America 110(31), 1258912594.CrossRefGoogle Scholar
Camenisch, Ch, Keller, KM, Salvisberg, M, Amann, B, Bauch, M, Blumer, S, Brázdil, R, Brönnimann, S, Büntgen, U, Campbell, BMS, Fernández-Donado, L, Fleitmann, D, Glaser, R, González-Rouco, F, Grosjean, M, Hoffmann, RC, Huhtamaa, H, Joos, F, Kiss, A, Kotyza, O, Lehner, F, Luterbacher, J, Maughan, N, Neukom, R, Novy, T, Pribyl, K, Raible, ChC, Riemann, D, Schuh, M, Slavin, P, Werner, PJ and Wetter, O (2016) The 1430s: a cold period of extraordinary internal climate variability during the early. Spörer Minimum with social and economic impacts in north-western and central Europe. Climate of the Past 12, 21072126.CrossRefGoogle Scholar
Černý, K (2014) The Plague 1480–1730. Epidemics in Medical Treatises of Early Modern History [in Czech]. Prague: Karolinum, 504 pp.Google Scholar
Chlumská, E, Kábrt, J, Poláčková, M, Rozsívalová, E, Šplíchalová, E abd Vojtová, M (1965) History of Czechoslovak medicine. Part I. From prehistoric times to 1740 [in Czech]. Prague: State Pedagogical Publishing House, University teaching texts, 173 pp.Google Scholar
Chu, CYC and Lee, RD (1994) Famine, revolt, and the dynastic cycle—population dynamics in historical China. Journal of Population Economics 7(4), 351378.CrossRefGoogle Scholar
Chu, CYC and Lee, RD (1997) Corrigendum Famine, revolte, and the dynastic cycle population dynamics in historic China. Journal of Population Economics 10(2), 235236.CrossRefGoogle Scholar
Czernik, J and Goslar, T (2001) Preparation of graphite targets in the Gliwice radiocarbon laboratory for AMS 14C dating. Radiocarbon 43(2A), 283291.CrossRefGoogle Scholar
Degroot, D (2018) Climate change and society in the 15th to 18th centuries. WIREs Clim Change 9(e518), 120.CrossRefGoogle Scholar
Degroot, D, Anchukaitis, K, Bauch, M, Burnham, J, Carnegy, F, Cui, J, de Luna, K, Guzowski, P, Hambrecht, G, Huhtamaa, H, Izdebski, A, Kleemann, K, Moesswilde, E, Neupane, N, Newfieldm, T, Pei, Q, Xoplaki, E and Zappia, N (2021) Towards a rigorous understanding of societal responses to climate change. Nature 591, 539550.CrossRefGoogle Scholar
Dreslerová, D, Hajnalová, M, Trubač, J, Chuman, T, Kočár, P, Kunzová, E and Šefrna, L (2021) Maintaining soil productivity as the key factor in European prehistoric and Medieval farming. Journal of Archeological Science: Reports 35, 102633.Google Scholar
Drozdová, E, Brzobohatá, K, Fialová, D and Boberová, K (2018) Antropological prospection of ossuary situated in Saint James church in Brno, Czech Republic. Anthropologie-International Journal of Human Diversity and Evolution 56(2), 115128.Google Scholar
Dufour, E, Bocherens, H and Mariotti, A (1999) Paleodietary Implications of Isotopic Variability in Eurasian Lacustrine Fish. Journal of Archaeological Science 26, 617627.CrossRefGoogle Scholar
Durynský, O and Žitavský, P (1305–1339) Zbraslav Chronicle (in Latin, Chronicon Aulae regiae). Zbraslav Monastery, 185 pp.Google Scholar
Eddy, JA (1976a) The Maunder Minimum. Science 192, 11891202. doi: 10.1126/science.192.4245.1189.CrossRefGoogle Scholar
Eddy, JA (1976b) The Sun since the Bronze Age. In Williams, DJ (ed), Physics of Solar Planetary Environments, vol. 2. Washington DC: American Geophysical Union, 958972.Google Scholar
Falconer, W (1890) Epidemic of 1803. In Thompson, ES (ed), Influenza or Epidemic Catarrhal Fever. An Historical Survey of Past Epidemics in Great Britain from 1510 to 1890. London: Percival and Co., 240258.Google Scholar
Fialová, L, Horská, P, Kučera, M, Maur, E, Musil, J and Stloukal, M (1998) History of the Inhabitants of the Bohemian Lands [in Czech]. Prague: Publishing House Mladá fronta, 198 pp.Google Scholar
France, R (1995) Stable nitrogen isotopes in fish: literature synthesis on the influence of ecotonal coupling. Estuarine, Coastal and Shelf Science 41, 737742.CrossRefGoogle Scholar
Fuller, BT, Fuller, JL, Harris, DA and Hedges, REM (2006) Detection of breastfeeding and weaning in modern human infants with carbon and nitrogen stable isotopes ratios. American Journal of Physical Anthropology 129, 279293.CrossRefGoogle Scholar
Galloway PR (1986) Long-term fluctuations in climate and population in the preindustrial era. Population and Development Review 12, 124.CrossRefGoogle Scholar
Goslar, T, Czernik, J and Goslar, E (2004) Low-energy 14C AMS in Poznań Radiocarbon Laboratory, Poland. Nuclear Instruments and Methods in Physics Research B 223–224, 511.CrossRefGoogle Scholar
Grolle, J (1997) Heavy rainfall, famine, and cultural response in the West African Sahel: the „Muda“ 1953–1954. GeoJournal 43(3), 205–14.CrossRefGoogle Scholar
Halffman, CM and Velemínský, P (2015) Stable isotope evidence for diet in Early Medieval Great Moravia (Czech Republic). Journal of Archaeological Science: Reports 2, 18.Google Scholar
Hedges, REM and Reynard, LM (2007) Nitrogen isotopes and the trophic level of humans in archaeology. Journal of Archaeological Science 34, 12401251.CrossRefGoogle Scholar
Izdebski, A, Guzowski, P, Poniat, R, Masci, L, Palli, J, Vignola, C, Bauch, M, Cocozza, C, Fernandes, R, Ljungqvist, FC, Newfield, T, Seim, A, Abel-Schaad, D,Alba-Sánchez, F, Björkman, L, Brauer, A, Brown, A, Czerwiński, S, Ejarque, A, Fiłoc, M, Florenzano, A, Fredh, ED, Fyfe, R,Jasiunas, N, Kołaczek, P, Kouli, K, Kozáková, R, Kupryjanowicz, M, Lagerås, P, Lamentowicz, M, Lindbladh, M, López-Sáez, JA, Luelmo-Lautenschlaeger, R, Marcisz, K, Mazier, F, Mensing, S, Mercuri, AM, Milecka, K, Miras, Y, Noryśkiewicz, AM, Novenko, E, Obremska, M, Panajiotidis, S, Papadopoulou, ML, Pędziszewska, A, Pérez-Díaz, S, Piovesan, G, Pluskowski, A, Pokorny, P, Poska, A, Reitalu, T, Rösch, M, Sadori, L, Sá Ferreira, C, Sebag, D, Słowiński, M, Stančikaitė, M, Stivrins, N, Tunno, I, Veski, S, Wacnik, A and Masi, A (2022) Palaeoecological data indicates land-use changes across Europe linked to spatial heterogeneity in mortality during the Black Death pandemic. Nature Ecology & Evolution 6, 297306.CrossRefGoogle Scholar
Jiang, Y, Xu, Z (1986) On the Sporer Minimum. Astrophysics and Space Science 118, 159162.CrossRefGoogle Scholar
Jones, PD, Briffa, KR, Barnet, TP and Tett, SFB (1998) High-resolution paleoclimatic records for the last millennium: interpretation, integration, and comparison with General Circulation Model control-run temperatures. The Holocene 8(4), 455471.CrossRefGoogle Scholar
Kahudová, M (1967) Plague epidemics in Bohemia in 1250–1370 [in Czech]. Historická demografie 1, 59–85.Google Scholar
Kanstrup, M, Thomsen, IK, Andersen, AJ, Bogaard, A and Christensen, BT (2011) Abundance of 13C and 15N in emmer, spelt and naked barley grown on differently manured soils: towards a method for identifying past manuring practice. Rapid Communication in Mass Spectrometry 25, 28792887.CrossRefGoogle Scholar
Kappas, M (2009) Climatology: Klimaforschung im 21. Jahrhundert. Herausforderung für Natur- und Sozialwissenschaften [in German]. Heidelberg: Spektrum Akademischer Verlag.Google Scholar
Key, RM (2001) Ocean process tracers: radiocarbon. In: Steele, J, Thorpe, S and Turekian, K, editors. Encyclopedia of Ocean Sciences. London: Academic Press, 23382353.CrossRefGoogle Scholar
Kortschak, HP, Hartt, CE and Burr, GO (1965) Carbon dioxide fixation in sugarcane leaves. Plant Physiology 40(2), 209213.CrossRefGoogle Scholar
Kosmas (1119–1125) Chronical of Bohemians, 8th ed. Prague: Argo 2011, 285 s. ISBN 978-80-257-0465-3.Google Scholar
Kostova, R, Popkonstantinov, K, Schroeder, H, Willerslev, E, Sultanov, A, Kazan, G and Higham, T (2020) AMS dating and ancient DNA analysis of bone relics associated with St John the Babtist from Sveti Ivan (Sozopol, Bulgaria). Journal of Archeological Science: Reports 29, 102082.Google Scholar
Le Huray, JD, Schutkowski, H (2005) Diet and social status during the La Tène period in Bohemia: Carbon and nitrogen stable isotope analysis of bone collagen from Kutná Hora-Karlov and Radovesice. Journal of Anthropological Archeology 24, 135147.CrossRefGoogle Scholar
Lee-Thorp, JA (2008) On isotopes and old bones. Archeometry 50(6), 925950.CrossRefGoogle Scholar
Linc, R (1971) Chapters on growth and functional morphology [in Czech]. Charles University in Prague FTVS, SPN, 117 pp.Google Scholar
Longin, R (1971) New method of collagen extraction for radiocarbon dating. Nature 230, 241242.CrossRefGoogle Scholar
Lucas, HS (1930) The great European Famine of 1315, 1316, 1317. Speculum 5(4), 343377.CrossRefGoogle Scholar
Mašková-Janotová, Š and Tošnerová, M (2017) Sedlčany Memoirs from the 17th Century [in Czech]. Podbrdsko: Příbram, 287 pp.Google Scholar
Matiegka, J (1896) Investigation of bones and skulls from Bohemian country ossuaries (In Czech). Discourses of the Bohemian Academy of Emperor Franz Joseph 42: 140.Google Scholar
Miller, GH, Geirsdóttir, Á, Zhong, Y, Larsen, DJ, Otto-Bliesner, BL, Holland, MM, Bailey, DA, Refsnider, KA, Lehman, SJ, Southon, JR, Anderson, Ch, Björnsson, H and Thordason, T (2012) Abrupt onset of the Little Ice Age triggered by volcanism and sustained by sea-ice/ocean feedback. Geophysical Research Letters 39: L02708.CrossRefGoogle Scholar
Molyneux (1890) Epidemics of 1693. In Thompson ES (ed), Influenza or Epidemic Catarrhal Fever. An Historical Survey of Past Epidemics in Great Britain from 1510 to 1890. London: Percival and Co., 23–25.Google Scholar
Ogrinc, N and Budja, M (2005) Paleodietary reconstruction of a Neolithic population in Slovenia: a stable isotope approach. Chemical Geology 218, 103116.CrossRefGoogle Scholar
Piotrowska, N and Goslar, T (2002) Preparation of bone samples in the Glivice Radiocarbon laboratory for AMS radiocarbon dating. Isotopes in Environmental and Health Studies 38(4), 267275.CrossRefGoogle Scholar
Plecerová, A, Kaupová Drtikolová, S, Šmerda, J and Stloukal, M (2020) Dietary reconstruction of the Moravian Lombard population (Kyjov, 5th-6th centuries AD, Czech Republic) through stable isotope analysis (δ13C, δ15N). Journal of Archaeological Science: Reports 29, 102062.Google Scholar
Rascovan, N, Sjögren, K-G, Kristiansen, K, Nielsen, R, Willerslev, E, Deanues, Ch and Rasmussen, S (2019) Emergence and Spread of Basal Lineages of Yersinia pestis during the Neolithic Decline. Cell 176, 111.CrossRefGoogle Scholar
Rasmussen, S, Allentoft, ME, Nielsen, K, Orlando, L, Sikora, M, Sjögren, K-G, Nielsen, R, Pedersen, AG, Schubert, M, Van Dam, A, Kapel, ChMO, Nielsen, HB, Brunak, S, Avetisyan, P, Epimakhov, A, Khalyapin, MV, Gnuni, A, Kriiska, A, Lasak, I, Metspalu, M, Moiseyev, V, Gromov, A, Pokuta, D, Saag, L, Varul, L, Yepiskoposyan, L, Sicheritz-Pontén, T, Foley, RA, Lahr, MM, Nielsen, R, Kristiansen, K and Willerslev, E (2015) Early divergent strains of Yersinia pestis in Eurasia years ago. Cell 163, 571582.CrossRefGoogle Scholar
Reimer, PJ, Austin, WEN, Bard, E, Bayliss, A, Blackwell, PG, Ramsey, CB, Butzin, M, Cheng, H, Edwards, RL, Friedrich, M, Grootes, PM, Guilderson, TP, Hajdas, I, Heaton, TJ, Hogg, AG, Hughen, KA, Kromer, B, Manning, SW, Muscheler, R, Palmer, JG, Pearson, C, van der Plicht, J, Reimer, RW, Richards, DA, Scott, EM, Southon, JR, Turney, CSM, Wacker, L, Adolphi, F, Buntgen, U, Capano, M, Fahrni, SM, Fogtmann-Schulz, A, Friedrich, R, Kohler, P, Kudsk, S, Miyake, F, Olsen, J, Reinig, F, Sakamoto, M, Sookdeo, A, Talamo, S (2020) the IntCal20 Northern Hemisphere radiocarbon calibration curve (0–55 cal kBP). Radiocarbon 62, 725757.CrossRefGoogle Scholar
Reitsema, LJ, Kozlowski, T and Makowietzki, D (2013) Human-environment interactions in medieval Poland: a perspective from the analysis of faunal stable isotope ratios. Journal of Archeological Science 40, 36363646.CrossRefGoogle Scholar
Salesse, K, Dufour, É, Castex, D, Velemínský, P, Santos, F, Kuchařová, H, Jun, L and Brůžek, J (2013) Life history of the individuals buried in the St. Benedict Cemetery (Prague, 15th-18th Centuries): Insights from 14C dating and stable isotope (δ13C, δ15N δ18O) analysis. American Journal of Physical Anthropology 151(2), 202214.CrossRefGoogle Scholar
Schmidt, GA, Jungclaus, JH, Ammann, CM, Bard, E, Braconnot, P, Crowley, TJ, Delaygue, G, Joos, F, Krivova, NA, Muscheler, R, Otto-Bliesner, BL, Pongratz, J, Shindell, DT, Solanki, SK, Steinhilber, F and Vieira, LEA (2011) Climate forcing reconstruction for use in PMIP simulations of the last millennium (v1.0). Geoscientific Model Development 4, 3345.CrossRefGoogle Scholar
Schoeninger, MJ and DeNiro, MJ (1984) Nitrogen and carbon isotopic composition of bone collagen from marine and terrestrial animals. Geochimica et Cosmochimica Acta 48, 625639.CrossRefGoogle Scholar
Schoeninger, MJ, DeNiro, MJ and Tauber, H (1983) Stable nitrogen isotope ratio of bone collagen reflect marine and terrestrial components of prehistoric human diet. Science 220, 13811383.CrossRefGoogle Scholar
Short, T (1890) Epidemics of 1510–1581. In Thompson, ES (ed), Influenza or Epidemic Catarrhal Fever. An Historical Survey of Past Epidemics in Great Britain from 1510 to 1890. London: Percival and Co., 311.Google Scholar
Sigurdsson, H, Houghton, B, Rymer, H, Stix, J and McNutt, S (1999) Encyclopedia of Volcanoes. Academic Press, 1417 pp.Google Scholar
Slavin, P (2016) Climate and famines: a historical reassessment WIREs. Climatic Change 7, 433447.Google Scholar
Smith, BN, Epstein, S (1971) Two categories of 13C/12C ratios for higher plants. Plant Physiology 47, 380384.CrossRefGoogle Scholar
Smrčka, V, Musilová, Z, Hořejš, J (2020) Increased deposition of skeletal remains in the ossuary Nížkov during the 14th century, 14C dated with typhoid fever. Locomotor System 27(1), 8192.Google Scholar
Stellner, F (1998) Zu einigen außenpolitischen und militärischen Aspekten des bayrischen Erbfolgekrieges. Prague Papers on the History of International Relations 2, 237264.Google Scholar
Stloukal, M, Dobisíková, M, Kuželka, V, Stránská, P, Velemínský, P, Vyhnánek, L and Zvára, K (1999) Anthropology. Handbook for studying skeletons [in Czech]. Prague: National Museum, 509 pp.Google Scholar
Stuiver, M (1980) Workshop on 14C data reporting. Radiocarbon 22(3), 964966.CrossRefGoogle Scholar
Stuiver, M, Reimer, PJ, Bard, E, Beck, JW, Burr, GS, Hughen, KA, Kromer, B, McCormac, G, van der Plicht, J and Spurk, M (1998) INTCAL98 radiocarbon age calibration, 24,000–0 cal BP. Radiocarbon 40, 10411083.CrossRefGoogle Scholar
Szpak, P, Longstaffe, FJ, Millaire, JF and White, CD (2012) stable isotope biogeochemistry of seabird guano fertilization: results from growth chamber studies with maize (zea mays). Plos One 7, e33741.CrossRefGoogle Scholar
Sydenham, T (1890) Epidemics of 1675. In Thompson, ES (ed), Influenza or Epidemic Catarrhal Fever. An Historical Survey of Past Epidemics in Great Britain from 1510 to 1890. London: Percival and Co., 1722.Google Scholar
Usoskin, IG, Arlt, R, Asvestari, E, Hawkins, E, Käpylä, M, Kovaltsov, GA, Krivova, N, Loskwood, M, Mursula, K, O´Reilly, OM, Scott, ChJ, Sokolov, DD, Solanki, SK, Soon, W and Vaquero, JM (2015) The Maunder minimum (1645–1715) was indeed a grand minimum: a reassessment of multiple dataset. Astronomy & Astrophysics 581, A95.CrossRefGoogle Scholar
Vaquero, JM, Gallego, MC, Usoskin, IG and Kovaltsov, GA (2011) Revisited sunspot data: A new scenario for the onset of the Maunder minimum. The Astrophysical Journal Letters 731, L24.CrossRefGoogle Scholar
Wagner, S and Zorita, E (2005) The influence of volcanic, solar and CO2 forcing on the temperatures in the Dalton Minimum (1790–1830): A model study. Climate Dynamics 25, 205218.CrossRefGoogle Scholar
Willis, T (1890) Epidemics of 1658. In Thompson, ES (ed), Influenza or Epidemic Catarrhal Fever. An Historical Survey of Past Epidemics in Great Britain from 1510 to 1890. London: Percival and Co., 1117.Google Scholar
Zhang, DD, Brecke, P, Lee, HF, He, YQ and Zhang, J (2007) Global climate change, war, and population decline in recent human history. Proceedings of the National Academy of Sciences USA 104, 1921419219.CrossRefGoogle Scholar
Zhang, DD, Jim, CY, Lin, GCS, He, YQ, Wang, JJ and Lee, HF (2006) Climatic change, wars and dynastic cycles in China over the last millennium. Climatic Change 76, 459477.CrossRefGoogle Scholar
Zhang, DD, Lee, HF, Wang, C, Li, B, Zhang, J, Pei, Q and Chen, J (2011) Climate change and large-scale human population collapses in the pre-industrial era. Global Ecology and Biogeography 20, 520531.CrossRefGoogle Scholar
Zonneveld, KAF, Harper, K, Klűgel, A, Chen, L, De Lange, G and Versteegh, GJM (2024) Climate change, society, and pandemic disease in Roman Italy between 200 BCE and 600 CE. Science Advances 10, 111.CrossRefGoogle Scholar
Figure 0

Table 1. Locations, sample type, sex, estimated age of the individual, 14C age, δ13C, δ15N and assignment to the climatic minimum

Figure 1

Figure 1. Map of sampled Bohemian and Moravian ossuaries.

Figure 2

Figure 2. 14C dating of deposited skeletal material from ossuaries in the Czech Republic.

Figure 3

Figure 3. The isotopic composition of carbon (δ13C) and nitrogen (δ15N) in dependence on the individual cold periods.

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