Academic Journal
Геоинформационное моделирование зон интродукции Сочи
| Τίτλος: | Геоинформационное моделирование зон интродукции Сочи |
|---|---|
| Πηγή: | Hortus botanicus. |
| Στοιχεία εκδότη: | Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Петрозаводский государственный университет», 2014. |
| Έτος έκδοσης: | 2014 |
| Θεματικοί όροι: | 15. Life on land, ARCGIS,BIOCLIM,GBIF,MAXENT,SPATIAL ANALYSIS,ГИС,GIS,ГРУППЫ УСТОЙЧИВОСТИ РАСТЕНИЙ,GROUP OF RESISTANCE OF PLANTS SPECIES,ДЕНДРОГРАММА,DENDROGRAM,ЗОНЫ ИНТРОДУКЦИИ РАСТЕНИЙ,ZONES INTRODUCTION OF PLANTS.,ИЗОКЛАСТЕР,КЛИМАТИЧЕСКИЕ УСЛОВИЯ ЗОН,CLIMATIC CONDITIONS ZONES,МОДЕЛИРОВАНИЕ РАСПРОСТРАНЕНИЯ ВИДОВ,SPECIES DISTRIBUTION MODELING,СОЧИ,SOCHI,IZOCLUSTER |
| Περιγραφή: | MaxEnt method calculated the probability distribution of three groups of resistance of plants species to Sochi climate based on the results of the introduction of the 1950 – 1975. Geographical coordinates locations of plants taken from the Global Database on Biodiversity (GBIF), the climatic data of high resolution (30 arc-seconds) from the global data set Bioclim for 1950-2000. Modeling was performed on all global land areas using training data set from 50% of the GBIF records, in a 4 replicates. For the criterion of habitat suitability of the territory was used the 10% training presence logistic threshold because of the data is likely to have some errors. The Maxent model had an AUC of 0.936, 0.952 and 0.972 for I, II и III groups of resistance to climate meaning the model fit the presence data well. The internal jackknife test of variable importance showed that ‘Mean Temperature of Coldest Quarter’, ‘Annual Mean Temperature’ and ‘Min Temperature of Coldest Month’ were the three most important predictors of habitat distribution. Maps of probabilities of three groups of resistance of plants for the region of Sochi have been merged into a multi-channel raster in ArcGIS. With the tools module Spatial Analysis was performed cluster analysis and constructed clustering dendrogram. Clusters are merged hierarchically into seven climatic zones suitable for growing exotic species. Defined the mean monthly temperature and precipitation for each zone. The diagram shows the dependence of the probability distribution of the three groups resistance from the mean annual temperature and mean annual precipitation. Describes the climatic conditions of the zones. Определена вероятность произрастания растений 3-х групп устойчивости на территории Сочи методом Maxent. C помощью многомерного анализа в ArcGIS выполнен кластерный анализ полученных вероятностей, построена дендрограмма близости кластеров и выделено 7 зон по пригодности для выращивания интродуцентов. Описаны климатические особенности зон. По сравнению с существующим делением территории Сочи для целей интродукции на три зоны, анализ выявил дополнительные прибрежную и среднегорную зоны, имеющие более продолжительный теплый период. |
| Τύπος εγγράφου: | Article |
| Περιγραφή αρχείου: | text/html |
| Γλώσσα: | Russian |
| ISSN: | 1994-3849 |
| Σύνδεσμος πρόσβασης: | http://cyberleninka.ru/article_covers/16500397.png http://cyberleninka.ru/article/n/geoinformatsionnoe-modelirovanie-zon-introduktsii-sochi |
| Αριθμός Καταχώρησης: | edsair.od......2806..4828a41c90e84b914c54f91c60ca7adf |
| Βάση Δεδομένων: | OpenAIRE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://explore.openaire.eu/search/publication?articleId=od______2806%3A%3A4828a41c90e84b914c54f91c60ca7adf Name: EDS - OpenAIRE (ns324271) Category: fullText Text: View record at OpenAIRE – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edsair&genre=article&issn=19943849&ISBN=&volume=&issue=&date=20140101&spage=&pages=&title=Hortus botanicus&atitle=%D0%93%D0%B5%D0%BE%D0%B8%D0%BD%D1%84%D0%BE%D1%80%D0%BC%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D0%BE%D0%B5%20%D0%BC%D0%BE%D0%B4%D0%B5%D0%BB%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5%20%D0%B7%D0%BE%D0%BD%20%D0%B8%D0%BD%D1%82%D1%80%D0%BE%D0%B4%D1%83%D0%BA%D1%86%D0%B8%D0%B8%20%D0%A1%D0%BE%D1%87%D0%B8&aulast=&id=DOI: Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
|---|---|
| Header | DbId: edsair DbLabel: OpenAIRE An: edsair.od......2806..4828a41c90e84b914c54f91c60ca7adf RelevancyScore: 769 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 769.473876953125 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Геоинформационное моделирование зон интродукции Сочи – Name: TitleSource Label: Source Group: Src Data: <i>Hortus botanicus</i>. – Name: Publisher Label: Publisher Information Group: PubInfo Data: Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Петрозаводский государственный университет», 2014. – Name: DatePubCY Label: Publication Year Group: Date Data: 2014 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%2215%2E+Life+on+land%22">15. Life on land</searchLink><br /><searchLink fieldCode="DE" term="%22ARCGIS%2CBIOCLIM%2CGBIF%2CMAXENT%2CSPATIAL+ANALYSIS%2CГИС%2CGIS%2CГРУППЫ+УСТОЙЧИВОСТИ+РАСТЕНИЙ%2CGROUP+OF+RESISTANCE+OF+PLANTS+SPECIES%2CДЕНДРОГРАММА%2CDENDROGRAM%2CЗОНЫ+ИНТРОДУКЦИИ+РАСТЕНИЙ%2CZONES+INTRODUCTION+OF+PLANTS%2E%2CИЗОКЛАСТЕР%2CКЛИМАТИЧЕСКИЕ+УСЛОВИЯ+ЗОН%2CCLIMATIC+CONDITIONS+ZONES%2CМОДЕЛИРОВАНИЕ+РАСПРОСТРАНЕНИЯ+ВИДОВ%2CSPECIES+DISTRIBUTION+MODELING%2CСОЧИ%2CSOCHI%2CIZOCLUSTER%22">ARCGIS,BIOCLIM,GBIF,MAXENT,SPATIAL ANALYSIS,ГИС,GIS,ГРУППЫ УСТОЙЧИВОСТИ РАСТЕНИЙ,GROUP OF RESISTANCE OF PLANTS SPECIES,ДЕНДРОГРАММА,DENDROGRAM,ЗОНЫ ИНТРОДУКЦИИ РАСТЕНИЙ,ZONES INTRODUCTION OF PLANTS.,ИЗОКЛАСТЕР,КЛИМАТИЧЕСКИЕ УСЛОВИЯ ЗОН,CLIMATIC CONDITIONS ZONES,МОДЕЛИРОВАНИЕ РАСПРОСТРАНЕНИЯ ВИДОВ,SPECIES DISTRIBUTION MODELING,СОЧИ,SOCHI,IZOCLUSTER</searchLink> – Name: Abstract Label: Description Group: Ab Data: MaxEnt method calculated the probability distribution of three groups of resistance of plants species to Sochi climate based on the results of the introduction of the 1950 – 1975. Geographical coordinates locations of plants taken from the Global Database on Biodiversity (GBIF), the climatic data of high resolution (30 arc-seconds) from the global data set Bioclim for 1950-2000. Modeling was performed on all global land areas using training data set from 50% of the GBIF records, in a 4 replicates. For the criterion of habitat suitability of the territory was used the 10% training presence logistic threshold because of the data is likely to have some errors. The Maxent model had an AUC of 0.936, 0.952 and 0.972 for I, II и III groups of resistance to climate meaning the model fit the presence data well. The internal jackknife test of variable importance showed that ‘Mean Temperature of Coldest Quarter’, ‘Annual Mean Temperature’ and ‘Min Temperature of Coldest Month’ were the three most important predictors of habitat distribution. Maps of probabilities of three groups of resistance of plants for the region of Sochi have been merged into a multi-channel raster in ArcGIS. With the tools module Spatial Analysis was performed cluster analysis and constructed clustering dendrogram. Clusters are merged hierarchically into seven climatic zones suitable for growing exotic species. Defined the mean monthly temperature and precipitation for each zone. The diagram shows the dependence of the probability distribution of the three groups resistance from the mean annual temperature and mean annual precipitation. Describes the climatic conditions of the zones.<br />Определена вероятность произрастания растений 3-х групп устойчивости на территории Сочи методом Maxent. C помощью многомерного анализа в ArcGIS выполнен кластерный анализ полученных вероятностей, построена дендрограмма близости кластеров и выделено 7 зон по пригодности для выращивания интродуцентов. Описаны климатические особенности зон. По сравнению с существующим делением территории Сочи для целей интродукции на три зоны, анализ выявил дополнительные прибрежную и среднегорную зоны, имеющие более продолжительный теплый период. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Article – Name: Format Label: File Description Group: SrcInfo Data: text/html – Name: Language Label: Language Group: Lang Data: Russian – Name: ISSN Label: ISSN Group: ISSN Data: 1994-3849 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="http://cyberleninka.ru/article_covers/16500397.png" linkWindow="_blank">http://cyberleninka.ru/article_covers/16500397.png</link><br /><link linkTarget="URL" linkTerm="http://cyberleninka.ru/article/n/geoinformatsionnoe-modelirovanie-zon-introduktsii-sochi" linkWindow="_blank">http://cyberleninka.ru/article/n/geoinformatsionnoe-modelirovanie-zon-introduktsii-sochi</link> – Name: AN Label: Accession Number Group: ID Data: edsair.od......2806..4828a41c90e84b914c54f91c60ca7adf |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsair&AN=edsair.od......2806..4828a41c90e84b914c54f91c60ca7adf |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: Russian Subjects: – SubjectFull: 15. Life on land Type: general – SubjectFull: ARCGIS,BIOCLIM,GBIF,MAXENT,SPATIAL ANALYSIS,ГИС,GIS,ГРУППЫ УСТОЙЧИВОСТИ РАСТЕНИЙ,GROUP OF RESISTANCE OF PLANTS SPECIES,ДЕНДРОГРАММА,DENDROGRAM,ЗОНЫ ИНТРОДУКЦИИ РАСТЕНИЙ,ZONES INTRODUCTION OF PLANTS.,ИЗОКЛАСТЕР,КЛИМАТИЧЕСКИЕ УСЛОВИЯ ЗОН,CLIMATIC CONDITIONS ZONES,МОДЕЛИРОВАНИЕ РАСПРОСТРАНЕНИЯ ВИДОВ,SPECIES DISTRIBUTION MODELING,СОЧИ,SOCHI,IZOCLUSTER Type: general Titles: – TitleFull: Геоинформационное моделирование зон интродукции Сочи Type: main BibRelationships: IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 19943849 – Type: issn-locals Value: edsair – Type: issn-locals Value: edsairFT Titles: – TitleFull: Hortus botanicus Type: main |
| ResultId | 1 |