A Landscape Reconstruction Algorithm and pedoanthracological data reveal Late Holocene woodland history in the lowlands of the NE Czech Republic

2017 ◽  
Vol 244 ◽  
pp. 54-64 ◽  
Author(s):  
Vojtěch Abraham ◽  
Jan Novák ◽  
Petra Houfková ◽  
Libor Petr ◽  
Lydie Dudová
The Holocene ◽  
2000 ◽  
Vol 10 (5) ◽  
pp. 575-585 ◽  
Author(s):  
Alessandra Speranza ◽  
Juliane Hanke ◽  
Bas van Geel ◽  
Josef Fanta

Author(s):  
J. Cajthaml ◽  
P. Tobiáš

The ”Czech Historical Atlas” project is a part of the NAKI II programme of the Czech Ministry of Culture and aims to create the following two main outputs: a printed atlas of the Czech history in the 20th century and an electronic map portal on the Czech history. This paper is focused on the latter mentioned output and specifically on the design of 3D scenes which should supplement the 2D map content. Currently existing literature is briefly reviewed and the procedural modelling is found to be suitable for the needs of urban landscape reconstruction. Furthermore, available data sources in the Czech republic are discussed and important aspects of modelling are presented.


2017 ◽  
Vol 5 ◽  
Author(s):  
Assunta Florenzano ◽  
Anna Maria Mercuri ◽  
Rossella Rinaldi ◽  
Eleonora Rattighieri ◽  
Rita Fornaciari ◽  
...  

The Holocene ◽  
2019 ◽  
Vol 29 (11) ◽  
pp. 1767-1781
Author(s):  
Alessandra Benatti ◽  
Marie Bal ◽  
Philippe Allée ◽  
Giovanna Bosi ◽  
Anna Maria Mercuri

This paper presents the first pedoanthracological study carried out on two mountains of the Northern Apennines, Monte Cimone, and Corno alle Scale, where the results provided new palaeoenvironmental data. The pedoantracological sampling followed an elevation gradient from the current timberline to the highest possible elevation, also adapted to the geomorphological characteristics of the study areas. Based on radiocarbon datings (16 at Monte Cimone and 9 at Corno alle Scale), the soil charcoal fragments provided data about the vegetation dynamics and plant landscape reconstruction, primarily indicating the Late Holocene. The landscape over the last 3000 years appears very similar to the current one with very small altitudinal variations of the timberline and treeline. The present study shows a lack of radiocarbon dates for the Middle Holocene and two hypotheses are discussed to explain this finding. Data suggest that past fires were locally linked to periods of climate optimum and possibly with the management of natural resources (especially animal grazing) by human societies. Some questions concerning the absence of Abies alba, today only present as plantation and normally associated with Fagus sylvatica at these latitudes, are discussed.


2020 ◽  
Author(s):  
Esther Githumbi ◽  
Marie-Jose Gaillard ◽  
Anne-Marie Lezine ◽  
Gaston Achoundong ◽  
Christelle Hély ◽  
...  

<p>Currently interaction between climate and land-cover change in the past across the globe, and whether drivers are anthropogenic or natural are among the biggest debates. The impacts of climate and land-cover change are having significant consequences on biodiversity and ecosystems. Wide ranging palaeoenvironmental methods have contributed to this debate by providing long-term records of both climate and land-cover change. This provide the context for evaluating the effect of land-cover change on climate.  Inferred past land-cover and climate change from palaeoecological proxies therefore need to be quantified to provide reliable estimates of change; there are several methods of quantifying land-cover change in the past of which the Landscape Reconstruction Algorithm (LRA)  can estimate past land-cover change quantitatively at both regional and local spatial scales using fossil pollen records. The LRA includes two models (REVEALS and LOVE) and has already been tested and validated in Europe, North America, and China.</p><p>In this study, we apply the LRA on Holocene pollen records in Cameroon to estimate past land-cover change. This is the first pollen-based, quantitative land-cover reconstruction using LRA in Africa.  It will provide a comparison with land-cover change described from raw pollen data and useful information for climate modelling. The first phase involved the estimation of relative pollen productivity (RPP) for 13 taxa using the pollen-vegetation relationship described by the ERV model. The second phase involves the application of LRA using the RPPs from the 13 taxa.</p><p> </p><p><strong> </strong><strong>Acknowledgements</strong>: We thank the French ANR (National Research Agency; projects C3A ANR-09-PEXT-001 and VULPES ANR-15-MASC-0003) and the Belgian project BR/132/A1/AFRIFORD for financial support, IRD (France) and the Ministry of Research and National Herbarium of Cameroon for research facilities and authorizations, and A. Vincens, J.-P. Cazet, G. Buchet, L. Février, and K. Lemonnier (CNRS) for laboratory and field assistance. The study is a contribution to PAGES LandCover6k (www.pastglobalchanges.org/ini/wg/landcover6k/intro).</p>


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