Multivariate analysis reveals spatial variability of soil geochemical signals in the area of a medieval manorial farm
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F23%3A10452190" target="_blank" >RIV/00216208:11210/23:10452190 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60460709:41330/23:97584
Výsledek na webu
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=lEip54QZuF" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=lEip54QZuF</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.catena.2022.106726" target="_blank" >10.1016/j.catena.2022.106726</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Multivariate analysis reveals spatial variability of soil geochemical signals in the area of a medieval manorial farm
Popis výsledku v původním jazyce
This study presents the results of a multi-element and multivariate geochemical analysis of a deserted medieval settlement and its agricultural landscape, including a monastic (Cistercian) manorial farm, situated in the Czech Republic. We used LiDAR survey and historic maps to detect relict landscape features and identify past changes in land use-patterns. Comparing archaeological evidence and soil chemistry, we found that geochemical signals derived from samples collected in the courtyard of the farm and in the surrounding area and processed by PCA on log-transformed and isometrically log-transformed data - responded to different agricultural activities, which could be linked to the farm and - more broadly - to current and past land-uses. The results generally illuminate the environmental impact of monastic settlement in a marginal landscape, with regard to different economic activities, and the study also demonstrates that this type of analysis allows tracing anthropogenic and natural phenomena over a wider area, beyond the limits of the more narrowly defined archaeological site.
Název v anglickém jazyce
Multivariate analysis reveals spatial variability of soil geochemical signals in the area of a medieval manorial farm
Popis výsledku anglicky
This study presents the results of a multi-element and multivariate geochemical analysis of a deserted medieval settlement and its agricultural landscape, including a monastic (Cistercian) manorial farm, situated in the Czech Republic. We used LiDAR survey and historic maps to detect relict landscape features and identify past changes in land use-patterns. Comparing archaeological evidence and soil chemistry, we found that geochemical signals derived from samples collected in the courtyard of the farm and in the surrounding area and processed by PCA on log-transformed and isometrically log-transformed data - responded to different agricultural activities, which could be linked to the farm and - more broadly - to current and past land-uses. The results generally illuminate the environmental impact of monastic settlement in a marginal landscape, with regard to different economic activities, and the study also demonstrates that this type of analysis allows tracing anthropogenic and natural phenomena over a wider area, beyond the limits of the more narrowly defined archaeological site.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
60500 - Other Humanities and the Arts
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Catena
ISSN
0341-8162
e-ISSN
1872-6887
Svazek periodika
220
Číslo periodika v rámci svazku
January
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
12
Strana od-do
106726
Kód UT WoS článku
000885327400001
EID výsledku v databázi Scopus
2-s2.0-85140900513