Cited by 16

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Regional paleoclimates and local consequences: Integrating GIS analysis of diachronic settlement patterns and process-based agroecosystem modeling of potential agricultural productivity in Provence (France)

Contreras, Daniel A., Hiriart, Eneko, Bondeau, Alberte, Kirman, Alan, Guiot, Joël, Bernard, Loup, Suarez, Romain, Van Der Leeuw, Sander·2018·PLOS ONE

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0207622

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Commonly, archaeologists look for relationships between site locations and environmental and geographic variables such as elevation, soil fertility, modelled production capacity, or climatic patterns to explain site distribution.

    “Commonly, archaeologists look for relationships between site locations and environmental and geographic variables such as elevation, soil fertility, modelled production capacity, or climatic patterns to explain site distribution (e.g.Contreras et al. 2018;Morgan 2009;Williams et al. 2015).”

    From The Ideal Distribution Model and Archaeological Settlement Patterning (2022) · cites this paper as Contreras et al. 2018

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 72

  1. J-F Berger, 2009, The 8200 cal BP abrupt environmental change and the Neolithic transition: A Mediterranean perspective, Quaternary International, 200, 31
  2. L Carozza, 2015, Society and environment in Southern France from the 3rd millennium BC to the beginning of the 2nd millennium BC: 2200 BC a tipping point?, Tagungen des Landesmuseums für Vorgestchiche Halle, 12, 333
  3. J Clarke, 2016, Climatic changes and social transformations in the Near East and North Africa during the ‘long’ 4th millennium BC: A comparative study of environmental and archaeological evidence, Quaternary Science Reviews, 136, 96, 10.1016/j.quascirev.2015.10.003 · DOI
  4. BL Drake, 2012, The influence of climatic change on the Late Bronze Age Collapse and the Greek Dark Ages, Journal of Archaeological Science, 39, 1862, 10.1016/j.jas.2012.01.029 · DOI
  5. D Kaniewski, 2015, Drought and societal collapse 3200 years ago in the Eastern Mediterranean: a review, Wiley Interdisciplinary Reviews: Climate Change, 6, 369
  6. B Weninger, 2009, The Impact of Rapid Climate Change on Prehistoric Societies during the Holocene in the Eastern Mediterranean, Documenta Praehistorica, 36, 7, 10.4312/dp.36.2 · DOI
  7. A Bondeau, 2007, Modelling the role of agriculture for the 20th century global terrestrial carbon balance, Global Change Biology, 13, 679, 10.1111/j.1365-2486.2006.01305.x · DOI
  8. DA Contreras, 2018, From Paleoclimate Variables to Prehistoric Agriculture: Using a Process-Based Agroecosystem Model to Simulate the Impacts of Holocene Climate Change on Potential Agricultural Productivity in Provence, 10.1016/j.quaint.2018.02.019 · DOI
  9. DA Contreras, 2018, Reaching the Human Scale: A Spatial and Temporal Downscaling Approach to the Archaeological Implications of Paleoclimate Data, Journal of Archaeological Science, 93, 54, 10.1016/j.jas.2018.02.013 · DOI
  10. P Verhagen, 2007, Case Studies in Archaeological Predictive Modelling, 10.5117/9789087280079 · DOI · Paper page
  11. D Wheatley, 2002, Spatial Technology and Archaeology: The Archaeological Applications of GIS, 10.4324/9780203302392 · DOI · Paper page
  12. JA d’Alpoim Guedes, 2016, Twenty-first century approaches to ancient problems: Climate and society, Proceedings of the National Academy of Sciences
  13. EJ Rohling, 2016, Of lakes and fields: A framework for reconciling palaeoclimatic drought inferences with archaeological impacts, Journal of Archaeological Science, 73, 17, 10.1016/j.jas.2016.07.005 · DOI
  14. J Vital, 2004, Du Néolithique final au Bronze moyen dans le sud-est de la France: 2200–1450 AV. JC, Cypsela: revista de prehistòria i protohistòria, 15, 11
  15. D Binder, 2008, Épipaléolithique et Néolithique dans l’arc liguro-provençal: bilan et perspectives de recherche, Bulletin di Musée d’Anthropologie Préhistorique de Monaco, Supplément, 1, 49
  16. J Guilaine, 2007, From Mesolithic to Early Neolithic in the western Mediterranean, Proceedings of the British Academy, 144, 21
  17. J Buisson-Catil, 2004, Vaucluse préhistorique, Le territoire, les hommes, les cultures et les sites, Le Pontet
  18. B Gassin, 2008, Variabilité des techniques de récolte et traitement des céréales dans l’occident méditerranéen au Néolithique ancien et moyen: facteurs environnementaux, économiques et sociaux, Actes des 7e Rencontres Méridionales de Préhistoire Récentes, 1
  19. F Antolín, 2015, The hard knock life. Archaeobotanical data on farming practices during the Neolithic (5400–2300 cal BC) in the NE of the Iberian Peninsula, Journal of Archaeological Science, 61, 90, 10.1016/j.jas.2015.05.007 · DOI
  20. A Bogaard, 2004, Neolithic farming in central Europe: an archaeobotanical study of crop husbandry practices, 10.4324/9780203358009 · DOI · Paper page
  21. A Bogaard, 2004, The nature of early farming in central and south-east Europe, Documenta Praehistorica, XXXI, 49, 10.4312/dp.31.4 · DOI
  22. T Baum, 2016, Slash and burn” or “weed and manure”? A modelling approach to explore hypotheses of late Neolithic crop cultivation in pre- alpine wetland sites, Vegetation History and Archaeobotany, 1
  23. S Jacomet, 2016, On-site data cast doubts on the hypothesis of shifting cultivation in the late Neolithic (c. 4300–2400 cal. BC): Landscape management as an alternative paradigm, The Holocene, 1
  24. M Rösch, 2014, Botanical off-site and on-site data as indicators of different land use systems: a discussion with examples from Southwest Germany, Vegetation history and archaeobotany, 23, 121, 10.1007/s00334-014-0437-3 · DOI
  25. F Magnin, 2008, Grandeur et misère de l’analyse malacologique, ou comment discriminer les facteurs climatiques et anthropiques de l’évolution des paysages holocènes, In, 61
  26. P Marinval, 2004, Des Gaulois aux Gallo-romains, l’agriculture du Midi de la France, Pallas, 64, 233
  27. H-P Stika, 2013, The Oxford Handbook of the European Bronze Age, 348
  28. J-F Terral, 1997, Débuts de la domestication de l’olivier (Olea europaea L.) en Méditerranée nord-occidentale, mise en évidence par l’analyse morphométrique appliquée à du matériel anthracologique, Comptes Rendus de l’Académie des Sciences de Paris, 324, 417
  29. D Garcia, 2002, Dynamiques territoriales en Gaule méridionale durant l’âge du Fer, Territoires celtiques Espaces ethniques et territoires des agglomérations protohistoriques d’Europe occidentale, 88
  30. D Garcia, 2010, Variations démographiques et capacités de production des céréales en Celtique méditerranéenne: le rôle de Marseille grecque, Grecs et indigènes de la Catalogne à la Mer Noire, 403, 10.4000/books.pccj.612 · DOI
  31. D Isoardi, 2010, Archéodémographie des sociétés protohistoriques de Sud-Est de la France, Arqueología Espacial, 28, 265
  32. K Walsh, 2003, Fame and Marginality: The Archaeology of the Montagne Sainte Victoire (Provence, France), American Journal of Archaeology, 107, 45, 10.3764/aja.107.1.45 · DOI
  33. J-L de Beaulieu, 2005, Vegetation dynamics in north-western Mediterranean regions: Instability of the Mediterranean bioclimate, Plant Biosystems—An International Journal Dealing with all Aspects of Plant Biology, 139, 114, 10.1080/11263500500197858 · DOI
  34. G Jalut, 2009, Holocene circum-Mediterranean vegetation changes: Climate forcing and human impact, Quaternary International, 200, 4, 10.1016/j.quaint.2008.03.012 · DOI
  35. M Magny, 2011, Holocene hydrological changes in south-western Mediterranean as recorded by lake-level fluctuations at Lago Preola, a coastal lake in southern Sicily, Italy, Quaternary Science Reviews, 30, 2459, 10.1016/j.quascirev.2011.05.018 · DOI
  36. B Vannière, 2011, Circum-Mediterranean fire activity and climate changes during the mid-Holocene environmental transition (8500–2500 cal. BP), The Holocene, 21, 53, 10.1177/0959683610384164 · DOI
  37. J-F Berger, 2016, A fluvial record of the mid-Holocene rapid climatic changes in the middle Rhone valley (Espeluche-Lalo, France) and of their impact on Late Mesolithic and Early Neolithic societies, Quaternary Science Reviews, 136, 66, 10.1016/j.quascirev.2015.11.019 · DOI
  38. M Magny, 2002, Assessment of the impact of climate and anthropogenic factors on Holocene Mediterranean vegetation in Europe on the basis of palaeohydrological records, Palaeogeography, Palaeoclimatology, Palaeoecology, 186, 47, 10.1016/S0031-0182(02)00442-X · DOI · Paper page
  39. G Jalut, 2000, Holocene climatic changes in the Western Mediterranean, from south-east France to south-east Spain, Palaeogeography, Palaeoclimatology, Palaeoecology, 160, 255, 10.1016/S0031-0182(00)00075-4 · DOI
  40. J Frigola, 2007, Holocene climate variability in the western Mediterranean region from a deepwater sediment record, Paleoceanography, 22, 10.1029/2006PA001307 · DOI
  41. I Cacho, 2001, Variability of the western Mediterranean Sea surface temperature during the last 25,000 years and its connection with the Northern Hemisphere climatic changes, Paleoceanography, 16, 40, 10.1029/2000PA000502 · DOI
  42. M Magny, 2013, North–south palaeohydrological contrasts in the central Mediterranean during the Holocene: tentative synthe- sis and working hypotheses, Climate of the Past Discussions, 9, 1901, 10.5194/cpd-9-1901-2013 · DOI
  43. H Weiss, 1993, The Genesis and Collapse of Third Millennium North Mesopotamian Civilization, Science, 261, 995, 10.1126/science.261.5124.995 · DOI
  44. N Brooks, 2012, Beyond collapse: climate change and causality during the Middle Holocene Climatic Transition, 6400–5000 years before present, Geografisk Tidsskrift-Danish Journal of Geography, 112, 93, 10.1080/00167223.2012.741881 · DOI
  45. M Magny, 2009, Possible complexity of the climatic event around 4300–3800 cal. BP in the central and western Mediterranean, The Holocene, 19, 823, 10.1177/0959683609337360 · DOI
  46. GD Middleton, 2012, Nothing Lasts Forever: Environmental Discourses on the Collapse of Past Societies, Journal of Archaeological Research, 20, 257, 10.1007/s10814-011-9054-1 · DOI
  47. BL Drake, 2017, Regional Demographic Dynamics in the Neolithic Transition in Iberia: Results from Summed Calibrated Date Analysis, Journal of Archaeological Method and Theory, 24, 796, 10.1007/s10816-016-9286-y · DOI
  48. J Bernabeu Aubán, 2016, Radiocarbon dates, climatic events, and social dynamics during the Early Neolithic in Mediterranean Iberia, Quaternary International, 403, 201, 10.1016/j.quaint.2015.09.020 · DOI
  49. J Guiot, 2015, The Mediterranean Basin and Southern Europe in a warmer world: what can we learn from the past?, Frontiers in Earth Science, 3, 1
  50. TE Currie, 2015, Agricultural productivity in past societies: Toward an empirically informed model for testing cultural evolutionary hypotheses, Cliodynamics, 6, 24
  51. S Sitch, 2003, Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model, Global Change Biology, 9, 161, 10.1046/j.1365-2486.2003.00569.x · DOI
  52. M Fader, 2015, Modelling Mediterranean agro-ecosystems by including agricultural trees in the LPJmL model, Geoscientific Model Development, 8, 3545, 10.5194/gmd-8-3545-2015 · DOI
  53. L Gorenflo, 1986, Population and productivity in the Teotihuacan Valley: changing patterns of spatial association in prehispanic central Mexico, Journal of Anthropological Archaeology, 5, 199, 10.1016/0278-4165(86)90006-1 · DOI
  54. GO Seltzer, 1990, Climatic Change and Its Effect on Prehispanic Agriculture in the Central Peruvian Andes, Journal of Field Archaeology, 17, 397, 10.1179/009346990791548600 · DOI
  55. J-F Berger, 2011, Hydrological and post-depositional impacts on the distribution of Holocene archaeological sites: The case of the Holocene middle Rhône River basin, France, Geomorphology, 129, 167
  56. CM Barton, 1999, Land-use dynamics and socioeconomic change: an example from the Polop Alto Valley, American Antiquity, 64, 609, 10.2307/2694208 · DOI
  57. P Flohr, 2016, Evidence of resilience to past climate change in Southwest Asia: Early farming communities and the 9.2 and 8.2 ka events, Quaternary Science Reviews, 136, 23, 10.1016/j.quascirev.2015.06.022 · DOI
  58. P Halstead, 2014, Two oxen ahead: pre-mechanized farming in the Mediterranean, 10.1002/9781118819333 · DOI
  59. L Bernard, 2015, Concepts, methods and tools Proceedings of the 42nd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, 401
  60. A Bayliss, 2009, Rolling Out Revolution: Using Radiocarbon Dating in Archaeology, Radiocarbon, 51, 123, 10.1017/S0033822200033750 · DOI
  61. A Bayliss, 2007, Bradshaw and Bayes: Towards a Timetable for the Neolithic, Cambridge Archaeological Journal, 17, 1, 10.1017/S0959774307000145 · DOI
  62. A Whittle, 2007, The times of their lives: from chronological precision to kinds of history and change, Cambridge Archaeological Journal, 17, 21, 10.1017/S0959774307000030 · DOI
  63. C Barton, 2015, How to Make a Barranco: Modeling Erosion and Land-Use in Mediterranean Landscapes, Land, 4, 578, 10.3390/land4030578 · DOI
  64. I Peeters, 2006, Reconstructing ancient topography through erosion modelling, Geomorphology, 78, 250, 10.1016/j.geomorph.2006.01.033 · DOI
  65. JAM Vermeer, 2013, Reconstructing a prehistoric topography using legacy point data in a depositional environment, Earth Surface Processes and Landforms, 39, 632, 10.1002/esp.3472 · DOI
  66. KW Kintigh, 2014, Grand challenges for archaeology, Proceedings of the National Academy of Sciences, 111, 879, 10.1073/pnas.1324000111 · DOI · Paper page
  67. TA Kohler, 2012, Modelling prehispanic Pueblo societies in their ecosystems, Ecological Modelling, 241, 30, 10.1016/j.ecolmodel.2012.01.002 · DOI
  68. TA Kohler, 2012, Emergence and Collapse of Early Villages: Models of Central Mesa Verde Archaeology, 10.1525/california/9780520270145.001.0001 · DOI
  69. TJ Wilkinson, 2007, Urbanization within a Dynamic Environment: Modeling Bronze Age Communities in Upper Mesopotamia, American Anthropologist, 109, 52, 10.1525/aa.2007.109.1.52 · DOI
  70. RJ Hijmans, 2016, raster: Geographic data analysis and modeling, raster: Geographic data analysis and modeling
  71. A Baddeley, 2015, Spatial Point Patterns: Methodology and Applications with R, 10.1201/b19708 · DOI
  72. D Sarkar, 2008, Lattice: Multivariate Data Visualization with R, 10.1007/978-0-387-75969-2 · DOI

Cited by

Sorted by citations

Metadata

Authors
Contreras, D. A., Hiriart, E., Bondeau, A., Kirman, A., Guiot, J., Bernard, L., Suarez, R., & Van Der Leeuw, S.
Venue
PLOS ONE
Published
2018-12-12
Volume
13
Issue
12
Pages
e0207622
ISSN
1932-6203
Cited by
16
References
1
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review