Ontology type: schema:ScholarlyArticle Open Access: True
2013-11-29
AUTHORSErvin Rasztovits, Imre Berki, Csaba Mátyás, Kornél Czimber, Elisabeth Pötzelsberger, Norbert Móricz
ABSTRACTContextProjections of species distribution models under future climate are usually based on long-term averages. However, singular extreme drought events presumably contribute to the shaping of distribution limits at the retreating low-elevation xeric limits.MethodsThe objectives of this study were to set up a distribution model based on extreme drought events (EDM), which uses sanitary logging information as a proxy of vitality response of beech, and compare it with the results of classical species distribution models (SDMs).ResultsPredictions of the EDM for 2025 were in agreement with those of the SDM, but EDM predicted a more serious decline in all regions of Hungary towards the end of the century.ConclusionThese results suggest that the predicted increase in frequency and severity of drought events may further limit the distribution of beech in the future. More... »
PAGES201-210
http://scigraph.springernature.com/pub.10.1007/s13595-013-0346-0
DOIhttp://dx.doi.org/10.1007/s13595-013-0346-0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1041984196
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/2008/07",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Agricultural and Veterinary Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0705",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Forestry Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Institute of Environmental and Earth Sciences, University of West Hungary, Bajcsy-Zs. u. 4., H-9400, Sopron, Hungary",
"id": "http://www.grid.ac/institutes/grid.410548.c",
"name": [
"Institute of Environmental and Earth Sciences, University of West Hungary, Bajcsy-Zs. u. 4., H-9400, Sopron, Hungary"
],
"type": "Organization"
},
"familyName": "Rasztovits",
"givenName": "Ervin",
"id": "sg:person.07437360033.97",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07437360033.97"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Environmental and Earth Sciences, University of West Hungary, Bajcsy-Zs. u. 4., H-9400, Sopron, Hungary",
"id": "http://www.grid.ac/institutes/grid.410548.c",
"name": [
"Institute of Environmental and Earth Sciences, University of West Hungary, Bajcsy-Zs. u. 4., H-9400, Sopron, Hungary"
],
"type": "Organization"
},
"familyName": "Berki",
"givenName": "Imre",
"id": "sg:person.016360661267.37",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016360661267.37"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Environmental and Earth Sciences, University of West Hungary, Bajcsy-Zs. u. 4., H-9400, Sopron, Hungary",
"id": "http://www.grid.ac/institutes/grid.410548.c",
"name": [
"Institute of Environmental and Earth Sciences, University of West Hungary, Bajcsy-Zs. u. 4., H-9400, Sopron, Hungary"
],
"type": "Organization"
},
"familyName": "M\u00e1ty\u00e1s",
"givenName": "Csaba",
"id": "sg:person.01063426430.82",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01063426430.82"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Geomatics and Civil Engineering, University of West Hungary, Bajcsy-Zs. u. 4., H-9400, Sopron, Hungary",
"id": "http://www.grid.ac/institutes/grid.410548.c",
"name": [
"Institute of Geomatics and Civil Engineering, University of West Hungary, Bajcsy-Zs. u. 4., H-9400, Sopron, Hungary"
],
"type": "Organization"
},
"familyName": "Czimber",
"givenName": "Korn\u00e9l",
"id": "sg:person.016060417733.01",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016060417733.01"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Silviculture, Department of Forest- and Soil Sciences, University of Natural Resources and Applied Life Sciences Vienna, Peter Jordan str. 82, 1190, Vienna, Austria",
"id": "http://www.grid.ac/institutes/grid.5173.0",
"name": [
"Institute of Silviculture, Department of Forest- and Soil Sciences, University of Natural Resources and Applied Life Sciences Vienna, Peter Jordan str. 82, 1190, Vienna, Austria"
],
"type": "Organization"
},
"familyName": "P\u00f6tzelsberger",
"givenName": "Elisabeth",
"id": "sg:person.010630321116.98",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010630321116.98"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Energy Department, Austrian Institute of Technology, Donau-City-Stra\u00dfe, 1220, Vienna, Austria",
"id": "http://www.grid.ac/institutes/grid.4332.6",
"name": [
"Energy Department, Austrian Institute of Technology, Donau-City-Stra\u00dfe, 1220, Vienna, Austria"
],
"type": "Organization"
},
"familyName": "M\u00f3ricz",
"givenName": "Norbert",
"id": "sg:person.07607474667.12",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07607474667.12"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/nature02300",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006979406",
"https://doi.org/10.1038/nature02300"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11442-007-0399-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044894615",
"https://doi.org/10.1007/s11442-007-0399-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00468-006-0107-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028663131",
"https://doi.org/10.1007/s00468-006-0107-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1051/forest/2009081",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056968184",
"https://doi.org/10.1051/forest/2009081"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00442-004-1503-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050499380",
"https://doi.org/10.1007/s00442-004-1503-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00468-006-0069-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047215974",
"https://doi.org/10.1007/s00468-006-0069-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature02716",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010456740",
"https://doi.org/10.1038/nature02716"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11258-006-9127-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007854854",
"https://doi.org/10.1007/s11258-006-9127-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s13595-011-0011-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014317452",
"https://doi.org/10.1007/s13595-011-0011-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-007-0096-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028171464",
"https://doi.org/10.1007/s00484-007-0096-5"
],
"type": "CreativeWork"
}
],
"datePublished": "2013-11-29",
"datePublishedReg": "2013-11-29",
"description": "ContextProjections of species distribution models under future climate are usually based on long-term averages. However, singular extreme drought events presumably contribute to the shaping of distribution limits at the retreating low-elevation xeric limits.MethodsThe objectives of this study were to set up a distribution model based on extreme drought events (EDM), which uses sanitary logging information as a proxy of vitality response of beech, and compare it with the results of classical species distribution models (SDMs).ResultsPredictions of the EDM for 2025 were in agreement with those of the SDM, but EDM predicted a more serious decline in all regions of Hungary towards the end of the century.ConclusionThese results suggest that the predicted increase in frequency and severity of drought events may further limit the distribution of beech in the future.",
"genre": "article",
"id": "sg:pub.10.1007/s13595-013-0346-0",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1034834",
"issn": [
"1286-4560",
"1297-966X"
],
"name": "Annals of Forest Science",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "71"
}
],
"keywords": [
"species distribution models",
"extreme drought events",
"distribution limit",
"classical species distribution models",
"distribution of beech",
"xeric limit",
"distribution model",
"drought events",
"serious decline",
"regions of Hungary",
"beech",
"future climate",
"ConclusionThese results",
"ResultsPrediction",
"events",
"long-term average",
"persistence",
"region",
"climate",
"vitality responses",
"response",
"decline",
"incorporation",
"proxy",
"distribution",
"results",
"increase",
"study",
"Hungary",
"end",
"model",
"information",
"future",
"MethodsThe objective",
"frequency",
"century",
"average",
"limit",
"objective",
"shaping",
"severity",
"agreement",
"EDM"
],
"name": "The incorporation of extreme drought events improves models for beech persistence at its distribution limit",
"pagination": "201-210",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1041984196"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s13595-013-0346-0"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s13595-013-0346-0",
"https://app.dimensions.ai/details/publication/pub.1041984196"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:29",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_611.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s13595-013-0346-0"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s13595-013-0346-0'
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/s13595-013-0346-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13595-013-0346-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13595-013-0346-0'
This table displays all metadata directly associated to this object as RDF triples.
184 TRIPLES
22 PREDICATES
78 URIs
60 LITERALS
6 BLANK NODES