A systematic review of the impact of food security governance measures as simulated in modelling studies View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-08-01

AUTHORS

Aleid Sunniva Teeuwen, Markus A. Meyer, Yue Dou, Andrew Nelson

ABSTRACT

To effectively address food security, we need tools that assess governance measures (for example, strategic storage reserves, cash transfers or trade regulations) ex ante. Simulation models can estimate the impact of such measures via scenarios with differently governed food systems. On the basis of a systematic review of 110 simulation studies published over 2000–2021, we examined how food security governance has been represented, and identified needs for future simulation model development. We found that studies commonly used agent-based, system dynamics, and computable general equilibrium models; tended to be production, trade or consumption centric; assessed the impact of a wide variety of mostly treasure- or authority-based measures; and applied diverse food security indicators, mostly of access or availability. We also identified blind spots (for example, simulation of nodal measures) and proposed how to address these blind spots (for example, telecoupling) and to make food security governance simulation studies fit for meta-analyses (for example, harmonizing food security indicators for comparison). More... »

PAGES

619-630

References to SciGraph publications

  • 2007. The Tools of Government in the Digital Age in NONE
  • 2020-01-13. Nutrition security is more than food security in NATURE FOOD
  • 2015-04-26. Regional food security risk assessment under the coordinated development of water resources in NATURAL HAZARDS
  • 2015-10-24. Combining micro-bottom-up and macro-top-down modelling responses to nutrient cycles in complex agricultural systems in NUTRIENT CYCLING IN AGROECOSYSTEMS
  • 2016-12-05. Rayyan—a web and mobile app for systematic reviews in SYSTEMATIC REVIEWS
  • 2019-08-26. Sustainable economic rural development system pattern in Ghaemshahr: an application of the developed TOP-MARD core model in ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY
  • 2014-06-24. Food security governance: a systematic literature review in FOOD SECURITY
  • 2018-09-25. Accounting for consumers’ preferences in the analysis of dietary recommendations in EUROPEAN JOURNAL OF CLINICAL NUTRITION
  • 2014-05-16. Drought adaptation policy development and assessment in East Africa using hydrologic and system dynamics modeling in NATURAL HAZARDS
  • 2017-06-07. Assessing the impacts of the changes in farming systems on food security and environmental sustainability of a Chinese rural region under different policy scenarios: an agent-based model in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • 2021-02-08. Ex Ante Impact Assessment of Reservoir Construction Projects for Different Stakeholders Using Agent-Based Modeling in WATER RESOURCES MANAGEMENT
  • 2018-03-26. Governance of food systems across scales in times of social-ecological change: a review of indicators in FOOD SECURITY
  • 2011-02-12. The future role of agriculture in the Arab region’s food security in FOOD SECURITY
  • 2019-04. Examining disparities in food accessibility among households in Columbus, Ohio: an agent-based model in FOOD SECURITY
  • 2014-08-23. Harvest failures, temporary export restrictions and global food security: the example of limited grain exports from Russia, Ukraine and Kazakhstan in FOOD SECURITY
  • 2011-02-19. Community-based interventions for the use and conservation of animal genetic resources: the case of indigenous scavenger chicken production in Benin in TROPICAL ANIMAL HEALTH AND PRODUCTION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s43016-022-00571-2

    DOI

    http://dx.doi.org/10.1038/s43016-022-00571-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1150237046


    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/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.6214.1", 
              "name": [
                "Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Teeuwen", 
            "givenName": "Aleid Sunniva", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Agriculture, Ecotrophology and Landscape Development, Anhalt University of Applied Sciences, Bernburg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.427932.9", 
              "name": [
                "Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands", 
                "Department of Agriculture, Ecotrophology and Landscape Development, Anhalt University of Applied Sciences, Bernburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Meyer", 
            "givenName": "Markus A.", 
            "id": "sg:person.01113762136.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113762136.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.6214.1", 
              "name": [
                "Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dou", 
            "givenName": "Yue", 
            "id": "sg:person.010142775452.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010142775452.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.6214.1", 
              "name": [
                "Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nelson", 
            "givenName": "Andrew", 
            "id": "sg:person.013267023652.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013267023652.35"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s12571-014-0364-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025949836", 
              "https://doi.org/10.1007/s12571-014-0364-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12571-014-0372-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029873840", 
              "https://doi.org/10.1007/s12571-014-0372-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11069-014-1216-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000076505", 
              "https://doi.org/10.1007/s11069-014-1216-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11269-021-02771-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1135273545", 
              "https://doi.org/10.1007/s11269-021-02771-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12571-010-0100-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052405548", 
              "https://doi.org/10.1007/s12571-010-0100-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10705-015-9739-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035579384", 
              "https://doi.org/10.1007/s10705-015-9739-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13643-016-0384-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046170971", 
              "https://doi.org/10.1186/s13643-016-0384-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10668-019-00451-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1120607143", 
              "https://doi.org/10.1007/s10668-019-00451-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11250-011-9790-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038228057", 
              "https://doi.org/10.1007/s11250-011-9790-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12571-019-00900-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1113999711", 
              "https://doi.org/10.1007/s12571-019-00900-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12571-018-0770-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101760702", 
              "https://doi.org/10.1007/s12571-018-0770-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-137-06154-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1108767333", 
              "https://doi.org/10.1007/978-1-137-06154-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41430-018-0317-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107230521", 
              "https://doi.org/10.1038/s41430-018-0317-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s43016-019-0002-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1124049211", 
              "https://doi.org/10.1038/s43016-019-0002-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11069-015-1735-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043315960", 
              "https://doi.org/10.1007/s11069-015-1735-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10661-017-6019-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085912825", 
              "https://doi.org/10.1007/s10661-017-6019-y"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-08-01", 
        "datePublishedReg": "2022-08-01", 
        "description": "To effectively address food security, we need tools that assess governance measures (for example, strategic storage reserves, cash transfers or trade regulations) ex ante. Simulation models can estimate the impact of such measures via scenarios with differently governed food systems. On the basis of a systematic review of 110 simulation studies published over 2000\u20132021, we examined how food security governance has been represented, and identified needs for future simulation model development. We found that studies commonly used agent-based, system dynamics, and computable general equilibrium models; tended to be production, trade or consumption centric; assessed the impact of a wide variety of mostly treasure- or authority-based measures; and applied diverse food security indicators, mostly of access or availability. We also identified blind spots (for example, simulation of nodal measures) and proposed how to address these blind spots (for example, telecoupling) and to make food security governance simulation studies fit for meta-analyses (for example, harmonizing food security indicators for comparison).", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s43016-022-00571-2", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1363506", 
            "issn": [
              "2662-1355"
            ], 
            "name": "Nature Food", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "3"
          }
        ], 
        "keywords": [
          "simulation model development", 
          "security indicators", 
          "simulation study", 
          "security governance", 
          "blind spots", 
          "simulation model", 
          "system dynamics", 
          "model development", 
          "security", 
          "centric", 
          "wide variety", 
          "scenarios", 
          "identified needs", 
          "access", 
          "tool", 
          "model", 
          "system", 
          "availability", 
          "such measures", 
          "need", 
          "measures", 
          "variety", 
          "development", 
          "impact", 
          "spots", 
          "basis", 
          "treasure", 
          "trade", 
          "dynamics", 
          "governance", 
          "study", 
          "indicators", 
          "review", 
          "systematic review", 
          "ex ante", 
          "food security", 
          "governance measures", 
          "ante", 
          "production", 
          "equilibrium model", 
          "food systems", 
          "food security governance", 
          "food security indicators", 
          "computable general equilibrium model", 
          "general equilibrium model"
        ], 
        "name": "A systematic review of the impact of food security governance measures as simulated in modelling studies", 
        "pagination": "619-630", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1150237046"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s43016-022-00571-2"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s43016-022-00571-2", 
          "https://app.dimensions.ai/details/publication/pub.1150237046"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:45", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_958.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s43016-022-00571-2"
      }
    ]
     

    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.10.1038/s43016-022-00571-2'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s43016-022-00571-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s43016-022-00571-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s43016-022-00571-2'


     

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

    189 TRIPLES      21 PREDICATES      85 URIs      61 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s43016-022-00571-2 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author Nec69211b14fb4164a29ea0fa5c700751
    4 schema:citation sg:pub.10.1007/978-1-137-06154-6
    5 sg:pub.10.1007/s10661-017-6019-y
    6 sg:pub.10.1007/s10668-019-00451-z
    7 sg:pub.10.1007/s10705-015-9739-9
    8 sg:pub.10.1007/s11069-014-1216-2
    9 sg:pub.10.1007/s11069-015-1735-5
    10 sg:pub.10.1007/s11250-011-9790-8
    11 sg:pub.10.1007/s11269-021-02771-0
    12 sg:pub.10.1007/s12571-010-0100-5
    13 sg:pub.10.1007/s12571-014-0364-2
    14 sg:pub.10.1007/s12571-014-0372-2
    15 sg:pub.10.1007/s12571-018-0770-y
    16 sg:pub.10.1007/s12571-019-00900-7
    17 sg:pub.10.1038/s41430-018-0317-5
    18 sg:pub.10.1038/s43016-019-0002-4
    19 sg:pub.10.1186/s13643-016-0384-4
    20 schema:datePublished 2022-08-01
    21 schema:datePublishedReg 2022-08-01
    22 schema:description To effectively address food security, we need tools that assess governance measures (for example, strategic storage reserves, cash transfers or trade regulations) ex ante. Simulation models can estimate the impact of such measures via scenarios with differently governed food systems. On the basis of a systematic review of 110 simulation studies published over 2000–2021, we examined how food security governance has been represented, and identified needs for future simulation model development. We found that studies commonly used agent-based, system dynamics, and computable general equilibrium models; tended to be production, trade or consumption centric; assessed the impact of a wide variety of mostly treasure- or authority-based measures; and applied diverse food security indicators, mostly of access or availability. We also identified blind spots (for example, simulation of nodal measures) and proposed how to address these blind spots (for example, telecoupling) and to make food security governance simulation studies fit for meta-analyses (for example, harmonizing food security indicators for comparison).
    23 schema:genre article
    24 schema:isAccessibleForFree true
    25 schema:isPartOf N22a44e0a7c764777b3627ec1a0dd5fb6
    26 Naf52d6caa60741fdbca3dc588c717d56
    27 sg:journal.1363506
    28 schema:keywords access
    29 ante
    30 availability
    31 basis
    32 blind spots
    33 centric
    34 computable general equilibrium model
    35 development
    36 dynamics
    37 equilibrium model
    38 ex ante
    39 food security
    40 food security governance
    41 food security indicators
    42 food systems
    43 general equilibrium model
    44 governance
    45 governance measures
    46 identified needs
    47 impact
    48 indicators
    49 measures
    50 model
    51 model development
    52 need
    53 production
    54 review
    55 scenarios
    56 security
    57 security governance
    58 security indicators
    59 simulation model
    60 simulation model development
    61 simulation study
    62 spots
    63 study
    64 such measures
    65 system
    66 system dynamics
    67 systematic review
    68 tool
    69 trade
    70 treasure
    71 variety
    72 wide variety
    73 schema:name A systematic review of the impact of food security governance measures as simulated in modelling studies
    74 schema:pagination 619-630
    75 schema:productId N0e08abea8db44bc99bf61aa9e9e03bda
    76 N972106d9f6a845b79d7b4fb27f98cea0
    77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1150237046
    78 https://doi.org/10.1038/s43016-022-00571-2
    79 schema:sdDatePublished 2022-12-01T06:45
    80 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    81 schema:sdPublisher N045eabd76cd644c7a43afac315bb7ee6
    82 schema:url https://doi.org/10.1038/s43016-022-00571-2
    83 sgo:license sg:explorer/license/
    84 sgo:sdDataset articles
    85 rdf:type schema:ScholarlyArticle
    86 N045eabd76cd644c7a43afac315bb7ee6 schema:name Springer Nature - SN SciGraph project
    87 rdf:type schema:Organization
    88 N0e08abea8db44bc99bf61aa9e9e03bda schema:name doi
    89 schema:value 10.1038/s43016-022-00571-2
    90 rdf:type schema:PropertyValue
    91 N12ff1f2039564b0281c20854f3b5818f schema:affiliation grid-institutes:grid.6214.1
    92 schema:familyName Teeuwen
    93 schema:givenName Aleid Sunniva
    94 rdf:type schema:Person
    95 N22a44e0a7c764777b3627ec1a0dd5fb6 schema:volumeNumber 3
    96 rdf:type schema:PublicationVolume
    97 N86a13108b95e4f0cb74afe42b6bb81fb rdf:first sg:person.010142775452.07
    98 rdf:rest Ne9c1a5f2feb241bba2a4a52ce40070a0
    99 N972106d9f6a845b79d7b4fb27f98cea0 schema:name dimensions_id
    100 schema:value pub.1150237046
    101 rdf:type schema:PropertyValue
    102 Naf52d6caa60741fdbca3dc588c717d56 schema:issueNumber 8
    103 rdf:type schema:PublicationIssue
    104 Ne9c1a5f2feb241bba2a4a52ce40070a0 rdf:first sg:person.013267023652.35
    105 rdf:rest rdf:nil
    106 Nec69211b14fb4164a29ea0fa5c700751 rdf:first N12ff1f2039564b0281c20854f3b5818f
    107 rdf:rest Nedd45fa462af46ba847cafd6b0bc790b
    108 Nedd45fa462af46ba847cafd6b0bc790b rdf:first sg:person.01113762136.37
    109 rdf:rest N86a13108b95e4f0cb74afe42b6bb81fb
    110 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    111 schema:name Information and Computing Sciences
    112 rdf:type schema:DefinedTerm
    113 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    114 schema:name Artificial Intelligence and Image Processing
    115 rdf:type schema:DefinedTerm
    116 sg:journal.1363506 schema:issn 2662-1355
    117 schema:name Nature Food
    118 schema:publisher Springer Nature
    119 rdf:type schema:Periodical
    120 sg:person.010142775452.07 schema:affiliation grid-institutes:grid.6214.1
    121 schema:familyName Dou
    122 schema:givenName Yue
    123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010142775452.07
    124 rdf:type schema:Person
    125 sg:person.01113762136.37 schema:affiliation grid-institutes:grid.427932.9
    126 schema:familyName Meyer
    127 schema:givenName Markus A.
    128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113762136.37
    129 rdf:type schema:Person
    130 sg:person.013267023652.35 schema:affiliation grid-institutes:grid.6214.1
    131 schema:familyName Nelson
    132 schema:givenName Andrew
    133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013267023652.35
    134 rdf:type schema:Person
    135 sg:pub.10.1007/978-1-137-06154-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108767333
    136 https://doi.org/10.1007/978-1-137-06154-6
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/s10661-017-6019-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1085912825
    139 https://doi.org/10.1007/s10661-017-6019-y
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/s10668-019-00451-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1120607143
    142 https://doi.org/10.1007/s10668-019-00451-z
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1007/s10705-015-9739-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035579384
    145 https://doi.org/10.1007/s10705-015-9739-9
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/s11069-014-1216-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000076505
    148 https://doi.org/10.1007/s11069-014-1216-2
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/s11069-015-1735-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043315960
    151 https://doi.org/10.1007/s11069-015-1735-5
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/s11250-011-9790-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038228057
    154 https://doi.org/10.1007/s11250-011-9790-8
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/s11269-021-02771-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1135273545
    157 https://doi.org/10.1007/s11269-021-02771-0
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s12571-010-0100-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052405548
    160 https://doi.org/10.1007/s12571-010-0100-5
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s12571-014-0364-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025949836
    163 https://doi.org/10.1007/s12571-014-0364-2
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/s12571-014-0372-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029873840
    166 https://doi.org/10.1007/s12571-014-0372-2
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1007/s12571-018-0770-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1101760702
    169 https://doi.org/10.1007/s12571-018-0770-y
    170 rdf:type schema:CreativeWork
    171 sg:pub.10.1007/s12571-019-00900-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113999711
    172 https://doi.org/10.1007/s12571-019-00900-7
    173 rdf:type schema:CreativeWork
    174 sg:pub.10.1038/s41430-018-0317-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107230521
    175 https://doi.org/10.1038/s41430-018-0317-5
    176 rdf:type schema:CreativeWork
    177 sg:pub.10.1038/s43016-019-0002-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124049211
    178 https://doi.org/10.1038/s43016-019-0002-4
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1186/s13643-016-0384-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046170971
    181 https://doi.org/10.1186/s13643-016-0384-4
    182 rdf:type schema:CreativeWork
    183 grid-institutes:grid.427932.9 schema:alternateName Department of Agriculture, Ecotrophology and Landscape Development, Anhalt University of Applied Sciences, Bernburg, Germany
    184 schema:name Department of Agriculture, Ecotrophology and Landscape Development, Anhalt University of Applied Sciences, Bernburg, Germany
    185 Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
    186 rdf:type schema:Organization
    187 grid-institutes:grid.6214.1 schema:alternateName Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
    188 schema:name Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
    189 rdf:type schema:Organization
     




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


    ...