Landscape classification of the Czech Republic based on the distribution of natural habitats

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F14%3A00073849" target="_blank" >RIV/00216224:14310/14:00073849 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68145535:_____/14:00431384

Výsledek na webu

<a href="http://www.preslia.cz/P143Divisek.pdf" target="_blank" >http://www.preslia.cz/P143Divisek.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Landscape classification of the Czech Republic based on the distribution of natural habitats

Popis výsledku v původním jazyce

We propose the first statistical landscape classification of the Czech Republic based on the distribution of different types of natural habitats (mainly defined in terms of plant communities) that resulted from national habitat mapping. We used occurrences of natural habitats in 2370 grid cells of 5´ longitude x 3´ latitude covering the whole area of the country. To cluster grid cells with similar habitat composition, we used two methods. First, we applied spatially unconstrained hierarchical clusteringto obtain landscape types with maximal internal homogeneity in the range of natural habitats they contain. Second, we added spatial constraints to the classification process in order to obtain spatially cohesive regions. In both cases, the cross-validation technique proposed seven clusters as the optimal result. We also determined the characteristic habitats for each landscape type and region and characterized them using ecologically relevant attributes of abiotic environment and land-c

Název v anglickém jazyce

Landscape classification of the Czech Republic based on the distribution of natural habitats

Popis výsledku anglicky

We propose the first statistical landscape classification of the Czech Republic based on the distribution of different types of natural habitats (mainly defined in terms of plant communities) that resulted from national habitat mapping. We used occurrences of natural habitats in 2370 grid cells of 5´ longitude x 3´ latitude covering the whole area of the country. To cluster grid cells with similar habitat composition, we used two methods. First, we applied spatially unconstrained hierarchical clusteringto obtain landscape types with maximal internal homogeneity in the range of natural habitats they contain. Second, we added spatial constraints to the classification process in order to obtain spatially cohesive regions. In both cases, the cross-validation technique proposed seven clusters as the optimal result. We also determined the characteristic habitats for each landscape type and region and characterized them using ecologically relevant attributes of abiotic environment and land-c

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

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Projekt

<a href="/cs/project/GB14-36079G" target="_blank" >GB14-36079G: Centrum analýzy a syntézy rostlinné diverzity (PLADIAS)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Preslia

ISSN

0032-7786

e-ISSN

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Svazek periodika

86

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

23

Strana od-do

209-231

Kód UT WoS článku

000341803000001

EID výsledku v databázi Scopus

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