Agent-Based Simulation of Holocene Monsoon Precipitation Patterns and Hunter-Gatherer Population Dynamics in Semi-arid Environments View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-06

AUTHORS

A. L. Balbo, X. Rubio-Campillo, B. Rondelli, M. Ramírez, C. Lancelotti, A. Torrano, M. Salpeteur, N. Lipovetzky, V. Reyes-García, C. Montañola, M. Madella

ABSTRACT

Based on archaeological evidence from Kutch-Saurashtra (N Gujarat, NW India), we use agent-based modelling (ABM) to explore the persistence of hunter-gatherer (HG) groups in semi-arid environments in the mid and late Holocene. Agents interact within a realistic semi-arid environment dominated by the monsoon. Precipitation trends are modelled from instrumental records (1871–2008) calibrated with existing models for the Asian monsoon in the Holocene (c. 12 ka–present). Experiments aim at exploring dependencies between population dynamics and climate-driven environmental change (in terms of resource availability) for precipitation patterns at the local, regional and continental scales. Resources are distributed across a simplified ground model. Average yearly precipitation (AYP, i.e. mean) and variance in yearly precipitation (VYP, i.e. standard deviation) are the main parameters affecting resource availability in the simulations. We assess the effects of environmental change on HG populations at different timescales: (1) patterns of seasonal (inter-annual) resource availability, (2) effects of changes in mean precipitation trends over the long (Pleistocene–Holocene) and the mid (Holocene, millennial) periods, and (3) effects of intra-annual precipitation variability, i.e. changes in standard deviation from mean precipitation trends over the short period (annual to decadal). Simulations show that (1) strong seasonality is coherent with the persistence of HG populations in India, independently of the geographical scale of the precipitation models, (2) changes in AYP over the mid period (Holocene) are not sufficient to explain the disappearance of HG populations in Kutch-Saurashtra (K-S) 4 ka and (3) precipitation variability (VYP) over the short period (annual to decadal) is the main parameter affecting population performance and overall ecosystem dynamics. To date, sufficiently refined palaeoclimatic records do not exist for the study area, but higher VYP values 4 ka do not exclude the possibility that other factors may have driven the disappearance of HG populations in Kutch-Saurashtra. More... »

PAGES

426-446

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10816-014-9203-1

DOI

http://dx.doi.org/10.1007/s10816-014-9203-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032847740


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2101", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Archaeology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/21", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "History and Archaeology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Spanish National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.4711.3", 
          "name": [
            "Complexity and Socio-ecological Dynamics (CaSEs, www.cases-bcn.net), Istituci\u00f3 Mil\u00e0 i Fontanals, Spanish National Research Council (IMF-CSIC), C/Egipciaques 15, 08001, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Balbo", 
        "givenName": "A. L.", 
        "id": "sg:person.0575572421.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0575572421.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Barcelona Supercomputing Center", 
          "id": "https://www.grid.ac/institutes/grid.10097.3f", 
          "name": [
            "Barcelona Supercomputing Centre (BSC), Nexus II Building, C/Jordi Girona 29, 08034, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rubio-Campillo", 
        "givenName": "X.", 
        "id": "sg:person.010627006344.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010627006344.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.4711.3", 
          "name": [
            "Complexity and Socio-ecological Dynamics (CaSEs, www.cases-bcn.net), Istituci\u00f3 Mil\u00e0 i Fontanals, Spanish National Research Council (IMF-CSIC), C/Egipciaques 15, 08001, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rondelli", 
        "givenName": "B.", 
        "id": "sg:person.01224445204.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224445204.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RMIT University", 
          "id": "https://www.grid.ac/institutes/grid.1017.7", 
          "name": [
            "School of Computer Science and Information Technology, RMIT University of Melbourne, 3001, Melbourne, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ram\u00edrez", 
        "givenName": "M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.4711.3", 
          "name": [
            "Complexity and Socio-ecological Dynamics (CaSEs, www.cases-bcn.net), Istituci\u00f3 Mil\u00e0 i Fontanals, Spanish National Research Council (IMF-CSIC), C/Egipciaques 15, 08001, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lancelotti", 
        "givenName": "C.", 
        "id": "sg:person.010226443327.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010226443327.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Barcelona Supercomputing Center", 
          "id": "https://www.grid.ac/institutes/grid.10097.3f", 
          "name": [
            "Barcelona Supercomputing Centre (BSC), Nexus II Building, C/Jordi Girona 29, 08034, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Torrano", 
        "givenName": "A.", 
        "id": "sg:person.07552471513.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07552471513.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "Institut de Ci\u00e8ncia i Tecnologia Ambientals, Universitat Autonoma de Barcelona (ICTA-UAB), Edifici C Campus de la UAB, Bellaterra (Cerdanyola del Vall\u00e8s), 08193, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salpeteur", 
        "givenName": "M.", 
        "id": "sg:person.016056447676.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016056447676.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Melbourne", 
          "id": "https://www.grid.ac/institutes/grid.1008.9", 
          "name": [
            "Department of Computer Science and Software Engineering, University of Melbourne, Parkville 3010, Melbourne, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lipovetzky", 
        "givenName": "N.", 
        "id": "sg:person.012231632605.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012231632605.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "Catalan Institute of Research and Advanced Studies (ICREA), Barcelona, Spain", 
            "Institut de Ci\u00e8ncia i Tecnologia Ambientals, Universitat Autonoma de Barcelona (ICTA-UAB), Edifici C Campus de la UAB, Bellaterra (Cerdanyola del Vall\u00e8s), 08193, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reyes-Garc\u00eda", 
        "givenName": "V.", 
        "id": "sg:person.01312040557.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312040557.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Barcelona Supercomputing Center", 
          "id": "https://www.grid.ac/institutes/grid.10097.3f", 
          "name": [
            "Departament d\u2032Estad\u00edstica i Investigaci\u00f3 Operativa, Universitat Polit\u00e8cnica de Catalunya (EIO-UPC), C/Jordi Girona 1-3, 08034, Barcelona, Spain", 
            "Barcelona Supercomputing Centre (BSC), Nexus II Building, C/Jordi Girona 29, 08034, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Monta\u00f1ola", 
        "givenName": "C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Spanish National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.4711.3", 
          "name": [
            "Catalan Institute of Research and Advanced Studies (ICREA), Barcelona, Spain", 
            "Complexity and Socio-ecological Dynamics (CaSEs, www.cases-bcn.net), Istituci\u00f3 Mil\u00e0 i Fontanals, Spanish National Research Council (IMF-CSIC), C/Egipciaques 15, 08001, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Madella", 
        "givenName": "M.", 
        "id": "sg:person.015357765632.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015357765632.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1175/1520-0442(2003)016<2472:ccsote>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000431545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rstb.2009.0109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006245510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jqs.1369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010745052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jqs.1369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010745052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.palaeo.2006.05.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011385239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2011.08.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017207999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolmodel.2010.08.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018298776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quaint.2012.01.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019637109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quaint.2011.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025637491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1025023906459", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027159731", 
          "https://doi.org/10.1023/a:1025023906459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00438243.1973.9979556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028358655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1083130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029550449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10021-001-0101-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031771259", 
          "https://doi.org/10.1007/s10021-001-0101-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quaint.2012.12.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032127111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1579/0044-7447-31.5.437", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033679859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2005.10.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038330073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1113931109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038771040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5252/az2009n1a8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041565344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajhb.20985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046350809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajhb.20985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046350809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2006.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050129560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/jar.39.3.3629672", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058909450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/jar.47.1.3630579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058909874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0959683607082403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063897956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0959683607082403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063897956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0959683608095576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063898088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0959683608095576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063898088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/095968369600600306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063899397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/095968369600600306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063899397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cloudcom.2012.6427498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094095948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511535833", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098664107"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-06", 
    "datePublishedReg": "2014-06-01", 
    "description": "Based on archaeological evidence from Kutch-Saurashtra (N Gujarat, NW India), we use agent-based modelling (ABM) to explore the persistence of hunter-gatherer (HG) groups in semi-arid environments in the mid and late Holocene. Agents interact within a realistic semi-arid environment dominated by the monsoon. Precipitation trends are modelled from instrumental records (1871\u20132008) calibrated with existing models for the Asian monsoon in the Holocene (c. 12 ka\u2013present). Experiments aim at exploring dependencies between population dynamics and climate-driven environmental change (in terms of resource availability) for precipitation patterns at the local, regional and continental scales. Resources are distributed across a simplified ground model. Average yearly precipitation (AYP, i.e. mean) and variance in yearly precipitation (VYP, i.e. standard deviation) are the main parameters affecting resource availability in the simulations. We assess the effects of environmental change on HG populations at different timescales: (1) patterns of seasonal (inter-annual) resource availability, (2) effects of changes in mean precipitation trends over the long (Pleistocene\u2013Holocene) and the mid (Holocene, millennial) periods, and (3) effects of intra-annual precipitation variability, i.e. changes in standard deviation from mean precipitation trends over the short period (annual to decadal). Simulations show that (1) strong seasonality is coherent with the persistence of HG populations in India, independently of the geographical scale of the precipitation models, (2) changes in AYP over the mid period (Holocene) are not sufficient to explain the disappearance of HG populations in Kutch-Saurashtra (K-S) 4 ka and (3) precipitation variability (VYP) over the short period (annual to decadal) is the main parameter affecting population performance and overall ecosystem dynamics. To date, sufficiently refined palaeoclimatic records do not exist for the study area, but higher VYP values 4 ka do not exclude the possibility that other factors may have driven the disappearance of HG populations in Kutch-Saurashtra.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10816-014-9203-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136768", 
        "issn": [
          "1072-5369", 
          "1573-7764"
        ], 
        "name": "Journal of Archaeological Method and Theory", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "21"
      }
    ], 
    "name": "Agent-Based Simulation of Holocene Monsoon Precipitation Patterns and Hunter-Gatherer Population Dynamics in Semi-arid Environments", 
    "pagination": "426-446", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9c7baeab7986f1b2e60da7530fde70ab056ce54fdd313b12d6830e279456f6f2"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10816-014-9203-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032847740"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10816-014-9203-1", 
      "https://app.dimensions.ai/details/publication/pub.1032847740"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:32", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8690_00000514.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10816-014-9203-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10816-014-9203-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10816-014-9203-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10816-014-9203-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10816-014-9203-1'


 

This table displays all metadata directly associated to this object as RDF triples.

224 TRIPLES      21 PREDICATES      53 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10816-014-9203-1 schema:about anzsrc-for:21
2 anzsrc-for:2101
3 schema:author Nb3cde563651747408858d7cbe5ffd83a
4 schema:citation sg:pub.10.1007/s10021-001-0101-5
5 sg:pub.10.1023/a:1025023906459
6 https://doi.org/10.1002/ajhb.20985
7 https://doi.org/10.1002/jqs.1369
8 https://doi.org/10.1016/j.ecolmodel.2010.08.019
9 https://doi.org/10.1016/j.gloenvcha.2006.04.002
10 https://doi.org/10.1016/j.palaeo.2006.05.019
11 https://doi.org/10.1016/j.quaint.2011.06.002
12 https://doi.org/10.1016/j.quaint.2012.01.020
13 https://doi.org/10.1016/j.quaint.2012.12.016
14 https://doi.org/10.1016/j.quascirev.2005.10.012
15 https://doi.org/10.1016/j.quascirev.2011.08.017
16 https://doi.org/10.1017/cbo9780511535833
17 https://doi.org/10.1073/pnas.1113931109
18 https://doi.org/10.1080/00438243.1973.9979556
19 https://doi.org/10.1086/jar.39.3.3629672
20 https://doi.org/10.1086/jar.47.1.3630579
21 https://doi.org/10.1098/rstb.2009.0109
22 https://doi.org/10.1109/cloudcom.2012.6427498
23 https://doi.org/10.1126/science.1083130
24 https://doi.org/10.1175/1520-0442(2003)016<2472:ccsote>2.0.co;2
25 https://doi.org/10.1177/0959683607082403
26 https://doi.org/10.1177/0959683608095576
27 https://doi.org/10.1177/095968369600600306
28 https://doi.org/10.1579/0044-7447-31.5.437
29 https://doi.org/10.5252/az2009n1a8
30 schema:datePublished 2014-06
31 schema:datePublishedReg 2014-06-01
32 schema:description Based on archaeological evidence from Kutch-Saurashtra (N Gujarat, NW India), we use agent-based modelling (ABM) to explore the persistence of hunter-gatherer (HG) groups in semi-arid environments in the mid and late Holocene. Agents interact within a realistic semi-arid environment dominated by the monsoon. Precipitation trends are modelled from instrumental records (1871–2008) calibrated with existing models for the Asian monsoon in the Holocene (c. 12 ka–present). Experiments aim at exploring dependencies between population dynamics and climate-driven environmental change (in terms of resource availability) for precipitation patterns at the local, regional and continental scales. Resources are distributed across a simplified ground model. Average yearly precipitation (AYP, i.e. mean) and variance in yearly precipitation (VYP, i.e. standard deviation) are the main parameters affecting resource availability in the simulations. We assess the effects of environmental change on HG populations at different timescales: (1) patterns of seasonal (inter-annual) resource availability, (2) effects of changes in mean precipitation trends over the long (Pleistocene–Holocene) and the mid (Holocene, millennial) periods, and (3) effects of intra-annual precipitation variability, i.e. changes in standard deviation from mean precipitation trends over the short period (annual to decadal). Simulations show that (1) strong seasonality is coherent with the persistence of HG populations in India, independently of the geographical scale of the precipitation models, (2) changes in AYP over the mid period (Holocene) are not sufficient to explain the disappearance of HG populations in Kutch-Saurashtra (K-S) 4 ka and (3) precipitation variability (VYP) over the short period (annual to decadal) is the main parameter affecting population performance and overall ecosystem dynamics. To date, sufficiently refined palaeoclimatic records do not exist for the study area, but higher VYP values 4 ka do not exclude the possibility that other factors may have driven the disappearance of HG populations in Kutch-Saurashtra.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf N562a45a54d0d4e45a2376f64c5765417
37 Na5f9619436ad410ca7888bfa32b810ca
38 sg:journal.1136768
39 schema:name Agent-Based Simulation of Holocene Monsoon Precipitation Patterns and Hunter-Gatherer Population Dynamics in Semi-arid Environments
40 schema:pagination 426-446
41 schema:productId N5a437d3780b5437dbcd564e0dd5a68f1
42 N91975b8d1ff04dc8aa6ef7898ce48a93
43 Nae4092d15bb64022a46b6b8ab415adcd
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032847740
45 https://doi.org/10.1007/s10816-014-9203-1
46 schema:sdDatePublished 2019-04-10T22:32
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher N1070275498954acaaff4dcbf28262292
49 schema:url http://link.springer.com/10.1007%2Fs10816-014-9203-1
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N08120653f4c14204887f7187c95cd97c rdf:first sg:person.015357765632.01
54 rdf:rest rdf:nil
55 N0d27e767e78a4b7ebec4dc1e271b92db rdf:first sg:person.01312040557.75
56 rdf:rest N86dcb6a001ed474badf229b61e0f76f7
57 N1070275498954acaaff4dcbf28262292 schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 N562a45a54d0d4e45a2376f64c5765417 schema:volumeNumber 21
60 rdf:type schema:PublicationVolume
61 N592e51bf69dc4f16b5d3e70e565ca67d rdf:first sg:person.010627006344.08
62 rdf:rest Nbe707bc685bd46adbf8e153546563131
63 N5a437d3780b5437dbcd564e0dd5a68f1 schema:name doi
64 schema:value 10.1007/s10816-014-9203-1
65 rdf:type schema:PropertyValue
66 N5e313aa766b444bf90b107992ea8edbf schema:affiliation https://www.grid.ac/institutes/grid.1017.7
67 schema:familyName Ramírez
68 schema:givenName M.
69 rdf:type schema:Person
70 N60a8603aa98d461cbc0116c9c057d1e8 rdf:first sg:person.016056447676.75
71 rdf:rest Na7b3c47b0f074f95b2eabbfdf9cf7889
72 N73d69ca3b9254d6c84647b3a82593759 rdf:first sg:person.010226443327.06
73 rdf:rest N8b5b710726794bbda70de547f91f9d96
74 N86dcb6a001ed474badf229b61e0f76f7 rdf:first Nd1d23d10d585472f9e41667448fd41a4
75 rdf:rest N08120653f4c14204887f7187c95cd97c
76 N8b5b710726794bbda70de547f91f9d96 rdf:first sg:person.07552471513.96
77 rdf:rest N60a8603aa98d461cbc0116c9c057d1e8
78 N91975b8d1ff04dc8aa6ef7898ce48a93 schema:name readcube_id
79 schema:value 9c7baeab7986f1b2e60da7530fde70ab056ce54fdd313b12d6830e279456f6f2
80 rdf:type schema:PropertyValue
81 Na5f9619436ad410ca7888bfa32b810ca schema:issueNumber 2
82 rdf:type schema:PublicationIssue
83 Na7b3c47b0f074f95b2eabbfdf9cf7889 rdf:first sg:person.012231632605.54
84 rdf:rest N0d27e767e78a4b7ebec4dc1e271b92db
85 Nae4092d15bb64022a46b6b8ab415adcd schema:name dimensions_id
86 schema:value pub.1032847740
87 rdf:type schema:PropertyValue
88 Nb3cde563651747408858d7cbe5ffd83a rdf:first sg:person.0575572421.48
89 rdf:rest N592e51bf69dc4f16b5d3e70e565ca67d
90 Nbe707bc685bd46adbf8e153546563131 rdf:first sg:person.01224445204.73
91 rdf:rest Nd2d60c065ebc4f9f810a2aadb74a5c66
92 Nd1d23d10d585472f9e41667448fd41a4 schema:affiliation https://www.grid.ac/institutes/grid.10097.3f
93 schema:familyName Montañola
94 schema:givenName C.
95 rdf:type schema:Person
96 Nd2d60c065ebc4f9f810a2aadb74a5c66 rdf:first N5e313aa766b444bf90b107992ea8edbf
97 rdf:rest N73d69ca3b9254d6c84647b3a82593759
98 anzsrc-for:21 schema:inDefinedTermSet anzsrc-for:
99 schema:name History and Archaeology
100 rdf:type schema:DefinedTerm
101 anzsrc-for:2101 schema:inDefinedTermSet anzsrc-for:
102 schema:name Archaeology
103 rdf:type schema:DefinedTerm
104 sg:journal.1136768 schema:issn 1072-5369
105 1573-7764
106 schema:name Journal of Archaeological Method and Theory
107 rdf:type schema:Periodical
108 sg:person.010226443327.06 schema:affiliation https://www.grid.ac/institutes/grid.4711.3
109 schema:familyName Lancelotti
110 schema:givenName C.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010226443327.06
112 rdf:type schema:Person
113 sg:person.010627006344.08 schema:affiliation https://www.grid.ac/institutes/grid.10097.3f
114 schema:familyName Rubio-Campillo
115 schema:givenName X.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010627006344.08
117 rdf:type schema:Person
118 sg:person.012231632605.54 schema:affiliation https://www.grid.ac/institutes/grid.1008.9
119 schema:familyName Lipovetzky
120 schema:givenName N.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012231632605.54
122 rdf:type schema:Person
123 sg:person.01224445204.73 schema:affiliation https://www.grid.ac/institutes/grid.4711.3
124 schema:familyName Rondelli
125 schema:givenName B.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224445204.73
127 rdf:type schema:Person
128 sg:person.01312040557.75 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
129 schema:familyName Reyes-García
130 schema:givenName V.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312040557.75
132 rdf:type schema:Person
133 sg:person.015357765632.01 schema:affiliation https://www.grid.ac/institutes/grid.4711.3
134 schema:familyName Madella
135 schema:givenName M.
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015357765632.01
137 rdf:type schema:Person
138 sg:person.016056447676.75 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
139 schema:familyName Salpeteur
140 schema:givenName M.
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016056447676.75
142 rdf:type schema:Person
143 sg:person.0575572421.48 schema:affiliation https://www.grid.ac/institutes/grid.4711.3
144 schema:familyName Balbo
145 schema:givenName A. L.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0575572421.48
147 rdf:type schema:Person
148 sg:person.07552471513.96 schema:affiliation https://www.grid.ac/institutes/grid.10097.3f
149 schema:familyName Torrano
150 schema:givenName A.
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07552471513.96
152 rdf:type schema:Person
153 sg:pub.10.1007/s10021-001-0101-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031771259
154 https://doi.org/10.1007/s10021-001-0101-5
155 rdf:type schema:CreativeWork
156 sg:pub.10.1023/a:1025023906459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027159731
157 https://doi.org/10.1023/a:1025023906459
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/ajhb.20985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046350809
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1002/jqs.1369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010745052
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.ecolmodel.2010.08.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018298776
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.gloenvcha.2006.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050129560
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.palaeo.2006.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011385239
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.quaint.2011.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025637491
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.quaint.2012.01.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019637109
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.quaint.2012.12.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032127111
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.quascirev.2005.10.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038330073
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.quascirev.2011.08.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017207999
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1017/cbo9780511535833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098664107
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1073/pnas.1113931109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038771040
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1080/00438243.1973.9979556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028358655
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1086/jar.39.3.3629672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058909450
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1086/jar.47.1.3630579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058909874
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1098/rstb.2009.0109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006245510
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1109/cloudcom.2012.6427498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094095948
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1126/science.1083130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029550449
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1175/1520-0442(2003)016<2472:ccsote>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000431545
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1177/0959683607082403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063897956
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1177/0959683608095576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063898088
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1177/095968369600600306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063899397
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1579/0044-7447-31.5.437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033679859
204 rdf:type schema:CreativeWork
205 https://doi.org/10.5252/az2009n1a8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041565344
206 rdf:type schema:CreativeWork
207 https://www.grid.ac/institutes/grid.1008.9 schema:alternateName University of Melbourne
208 schema:name Department of Computer Science and Software Engineering, University of Melbourne, Parkville 3010, Melbourne, Victoria, Australia
209 rdf:type schema:Organization
210 https://www.grid.ac/institutes/grid.10097.3f schema:alternateName Barcelona Supercomputing Center
211 schema:name Barcelona Supercomputing Centre (BSC), Nexus II Building, C/Jordi Girona 29, 08034, Barcelona, Spain
212 Departament d′Estadística i Investigació Operativa, Universitat Politècnica de Catalunya (EIO-UPC), C/Jordi Girona 1-3, 08034, Barcelona, Spain
213 rdf:type schema:Organization
214 https://www.grid.ac/institutes/grid.1017.7 schema:alternateName RMIT University
215 schema:name School of Computer Science and Information Technology, RMIT University of Melbourne, 3001, Melbourne, Victoria, Australia
216 rdf:type schema:Organization
217 https://www.grid.ac/institutes/grid.4711.3 schema:alternateName Spanish National Research Council
218 schema:name Catalan Institute of Research and Advanced Studies (ICREA), Barcelona, Spain
219 Complexity and Socio-ecological Dynamics (CaSEs, www.cases-bcn.net), Istitució Milà i Fontanals, Spanish National Research Council (IMF-CSIC), C/Egipciaques 15, 08001, Barcelona, Spain
220 rdf:type schema:Organization
221 https://www.grid.ac/institutes/grid.7080.f schema:alternateName Autonomous University of Barcelona
222 schema:name Catalan Institute of Research and Advanced Studies (ICREA), Barcelona, Spain
223 Institut de Ciència i Tecnologia Ambientals, Universitat Autonoma de Barcelona (ICTA-UAB), Edifici C Campus de la UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain
224 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...