Impact of climate change on maize yield in central and northern Greece: A simulation study with CERES-Maize View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1997-09

AUTHORS

G. Kapetanaki, C. Rosenzweig

ABSTRACT

The potential impacts of climate change on the phenology and yield of two maize varieties in Greece were studied. Three sites representing the central and northern agricultural regions were selected: Karditsa, Naoussa and Xanthi. The CERES-Maize model, embedded in the Decision Support System for Agrotechnology Transfer (DSSAT 3.0), was used for the crop simulations, with current and possible future management practices. Equilibrium doubled CO2 climate change scenarios were derived from the GISS, GFDL, and UKMO general circulation models (GCMs); a transient scenario was developed from the GISS GCM transient run A. These scenarios predict consistent increases in air temperature, small increases in solar radiation and precipitation changes that vary considerably over the study regions in Greece. Physiological effects of CO2 on crop growth and yield were simulated. Under present management practices, the climate change scenarios generally resulted in decreases in maize yield due to reduced duration of the growing period at all sites. Adaptation analyses showed that mitigation of climate change effects may be achieved through earlier sowing dates and the use of new maize varieties. Varieties with higher kernel-filling rates, currently restricted to the central regions, could be extended to the northern regions of Greece. In the central regions, new maize varieties with longer grain-filling periods might be needed. More... »

PAGES

251-271

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00517806

DOI

http://dx.doi.org/10.1007/bf00517806

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047850140


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/2008/0703", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Crop and Pasture Production", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Agricultural Research Foundation", 
          "id": "https://www.grid.ac/institutes/grid.26877.3c", 
          "name": [
            "Institute for Soils Classification and Mapping, National Agricultural Research Foundation, Larissa, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kapetanaki", 
        "givenName": "G.", 
        "id": "sg:person.013463227636.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013463227636.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Columbia University", 
          "id": "https://www.grid.ac/institutes/grid.21729.3f", 
          "name": [
            "NASA/Goddard Institute for Space Studies, New York, USA", 
            "Center for Climate Systems Research, Columbia University, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosenzweig", 
        "givenName": "C.", 
        "id": "sg:person.0741100364.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741100364.79"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf01094016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003195301", 
          "https://doi.org/10.1007/bf01094016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01094016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003195301", 
          "https://doi.org/10.1007/bf01094016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1923(95)02299-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003653649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0308-521x(91)90063-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010949189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0308-521x(91)90063-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010949189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0033-0124.1990.00020.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022539490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1983)111<0609:etdgmf>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022548070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0469(1987)044<1211:lscosw>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025211147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/367133a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028087951", 
          "https://doi.org/10.1038/367133a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jd092id11p13315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029188319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01091866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038627699", 
          "https://doi.org/10.1007/bf01091866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jd093id08p09341", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039346451"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1997-09", 
    "datePublishedReg": "1997-09-01", 
    "description": "The potential impacts of climate change on the phenology and yield of two maize varieties in Greece were studied. Three sites representing the central and northern agricultural regions were selected: Karditsa, Naoussa and Xanthi. The CERES-Maize model, embedded in the Decision Support System for Agrotechnology Transfer (DSSAT 3.0), was used for the crop simulations, with current and possible future management practices. Equilibrium doubled CO2 climate change scenarios were derived from the GISS, GFDL, and UKMO general circulation models (GCMs); a transient scenario was developed from the GISS GCM transient run A. These scenarios predict consistent increases in air temperature, small increases in solar radiation and precipitation changes that vary considerably over the study regions in Greece. Physiological effects of CO2 on crop growth and yield were simulated. Under present management practices, the climate change scenarios generally resulted in decreases in maize yield due to reduced duration of the growing period at all sites. Adaptation analyses showed that mitigation of climate change effects may be achieved through earlier sowing dates and the use of new maize varieties. Varieties with higher kernel-filling rates, currently restricted to the central regions, could be extended to the northern regions of Greece. In the central regions, new maize varieties with longer grain-filling periods might be needed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00517806", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135912", 
        "issn": [
          "1381-2386", 
          "1573-1596"
        ], 
        "name": "Mitigation and Adaptation Strategies for Global Change", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "1"
      }
    ], 
    "name": "Impact of climate change on maize yield in central and northern Greece: A simulation study with CERES-Maize", 
    "pagination": "251-271", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e3f242d350edb5c3f3402dc4d88e5f09bc6214841048cb5fdc78943ad523ee8b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00517806"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1047850140"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00517806", 
      "https://app.dimensions.ai/details/publication/pub.1047850140"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:58", 
    "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/v90/0000000371_0000000371/records_130820_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00517806"
  }
]
 

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/bf00517806'

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/bf00517806'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00517806'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00517806'


 

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

105 TRIPLES      21 PREDICATES      37 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00517806 schema:about anzsrc-for:07
2 anzsrc-for:0703
3 schema:author Ne194068b150645e197db831bd07d7d3b
4 schema:citation sg:pub.10.1007/bf01091866
5 sg:pub.10.1007/bf01094016
6 sg:pub.10.1038/367133a0
7 https://doi.org/10.1016/0168-1923(95)02299-6
8 https://doi.org/10.1016/0308-521x(91)90063-g
9 https://doi.org/10.1029/jd092id11p13315
10 https://doi.org/10.1029/jd093id08p09341
11 https://doi.org/10.1111/j.0033-0124.1990.00020.x
12 https://doi.org/10.1175/1520-0469(1987)044<1211:lscosw>2.0.co;2
13 https://doi.org/10.1175/1520-0493(1983)111<0609:etdgmf>2.0.co;2
14 schema:datePublished 1997-09
15 schema:datePublishedReg 1997-09-01
16 schema:description The potential impacts of climate change on the phenology and yield of two maize varieties in Greece were studied. Three sites representing the central and northern agricultural regions were selected: Karditsa, Naoussa and Xanthi. The CERES-Maize model, embedded in the Decision Support System for Agrotechnology Transfer (DSSAT 3.0), was used for the crop simulations, with current and possible future management practices. Equilibrium doubled CO2 climate change scenarios were derived from the GISS, GFDL, and UKMO general circulation models (GCMs); a transient scenario was developed from the GISS GCM transient run A. These scenarios predict consistent increases in air temperature, small increases in solar radiation and precipitation changes that vary considerably over the study regions in Greece. Physiological effects of CO2 on crop growth and yield were simulated. Under present management practices, the climate change scenarios generally resulted in decreases in maize yield due to reduced duration of the growing period at all sites. Adaptation analyses showed that mitigation of climate change effects may be achieved through earlier sowing dates and the use of new maize varieties. Varieties with higher kernel-filling rates, currently restricted to the central regions, could be extended to the northern regions of Greece. In the central regions, new maize varieties with longer grain-filling periods might be needed.
17 schema:genre research_article
18 schema:inLanguage en
19 schema:isAccessibleForFree false
20 schema:isPartOf N246a3a8e193b4ab281d786922d949299
21 Ne77f8c399f9443a2b5ab252076ef7d1c
22 sg:journal.1135912
23 schema:name Impact of climate change on maize yield in central and northern Greece: A simulation study with CERES-Maize
24 schema:pagination 251-271
25 schema:productId Ndd69b92c50b44b40b658e0dc3f4b6a7d
26 Ndfebb62d3b304ac99d7a978b1584c329
27 Nfd7e9214b8bf46f397bcd4a13a0652af
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047850140
29 https://doi.org/10.1007/bf00517806
30 schema:sdDatePublished 2019-04-11T13:58
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher N0570110a8108474c8580b07423cca4a9
33 schema:url http://link.springer.com/10.1007/BF00517806
34 sgo:license sg:explorer/license/
35 sgo:sdDataset articles
36 rdf:type schema:ScholarlyArticle
37 N0570110a8108474c8580b07423cca4a9 schema:name Springer Nature - SN SciGraph project
38 rdf:type schema:Organization
39 N246a3a8e193b4ab281d786922d949299 schema:volumeNumber 1
40 rdf:type schema:PublicationVolume
41 Ndd69b92c50b44b40b658e0dc3f4b6a7d schema:name dimensions_id
42 schema:value pub.1047850140
43 rdf:type schema:PropertyValue
44 Ndfebb62d3b304ac99d7a978b1584c329 schema:name readcube_id
45 schema:value e3f242d350edb5c3f3402dc4d88e5f09bc6214841048cb5fdc78943ad523ee8b
46 rdf:type schema:PropertyValue
47 Ne194068b150645e197db831bd07d7d3b rdf:first sg:person.013463227636.51
48 rdf:rest Nf5fe274dcc944ac685b7b3d564da3c16
49 Ne77f8c399f9443a2b5ab252076ef7d1c schema:issueNumber 3
50 rdf:type schema:PublicationIssue
51 Nf5fe274dcc944ac685b7b3d564da3c16 rdf:first sg:person.0741100364.79
52 rdf:rest rdf:nil
53 Nfd7e9214b8bf46f397bcd4a13a0652af schema:name doi
54 schema:value 10.1007/bf00517806
55 rdf:type schema:PropertyValue
56 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
57 schema:name Agricultural and Veterinary Sciences
58 rdf:type schema:DefinedTerm
59 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
60 schema:name Crop and Pasture Production
61 rdf:type schema:DefinedTerm
62 sg:journal.1135912 schema:issn 1381-2386
63 1573-1596
64 schema:name Mitigation and Adaptation Strategies for Global Change
65 rdf:type schema:Periodical
66 sg:person.013463227636.51 schema:affiliation https://www.grid.ac/institutes/grid.26877.3c
67 schema:familyName Kapetanaki
68 schema:givenName G.
69 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013463227636.51
70 rdf:type schema:Person
71 sg:person.0741100364.79 schema:affiliation https://www.grid.ac/institutes/grid.21729.3f
72 schema:familyName Rosenzweig
73 schema:givenName C.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741100364.79
75 rdf:type schema:Person
76 sg:pub.10.1007/bf01091866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038627699
77 https://doi.org/10.1007/bf01091866
78 rdf:type schema:CreativeWork
79 sg:pub.10.1007/bf01094016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003195301
80 https://doi.org/10.1007/bf01094016
81 rdf:type schema:CreativeWork
82 sg:pub.10.1038/367133a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028087951
83 https://doi.org/10.1038/367133a0
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1016/0168-1923(95)02299-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003653649
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1016/0308-521x(91)90063-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1010949189
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1029/jd092id11p13315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029188319
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1029/jd093id08p09341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039346451
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1111/j.0033-0124.1990.00020.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022539490
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1175/1520-0469(1987)044<1211:lscosw>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025211147
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1175/1520-0493(1983)111<0609:etdgmf>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022548070
98 rdf:type schema:CreativeWork
99 https://www.grid.ac/institutes/grid.21729.3f schema:alternateName Columbia University
100 schema:name Center for Climate Systems Research, Columbia University, New York, USA
101 NASA/Goddard Institute for Space Studies, New York, USA
102 rdf:type schema:Organization
103 https://www.grid.ac/institutes/grid.26877.3c schema:alternateName National Agricultural Research Foundation
104 schema:name Institute for Soils Classification and Mapping, National Agricultural Research Foundation, Larissa, Greece
105 rdf:type schema:Organization
 




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


...