scholarly journals Forest soil charcoal and historical land use

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Pille Tomson ◽  
Tanel Kaart ◽  
Kalev Sepp

Charcoal deposits in forest soils have been considered mainly in the context of wildfires. However, slash-and-burn cultivation has been widespread in Northern Europe until the beginning of the 20th century and extensive areas of former swiddens are now covered by forests. The study sites were in Karula National Park in Southern Estonia. 19th-century cadastral maps were used to identify the historical land use. Macroscopic (visible) charcoal was studied in 57 soil pits, located in historical slash-and-burn sites, forests, former arable fields, recent forest fire sites, and experimental slash-and-burn fields. The locations of charcoal in the soil profile were recorded. In four sites, the charcoal samples were dated. Charcoal is widespread in boreal forest soils. A considerable proportion of this could originate from historical slash-and-burn cultivation. The charcoal depth was related to agricultural land use duration and methods at different intensities. The location of the charcoal-rich layer reflected the historical cultivation best, though patchy spatial distribution and the evident translocation of charcoal from different fire events complicates the interpretation of the charcoal pattern. Not all translocation mechanisms have yet been explained.

Author(s):  
Michał Sobala

AbstractMany landscapes bear the marks of historical land use. These marks can be the basis for a reconstruction of a historical land use structure as some of them are typical of different types of human activity. The aim of this paper is to determine whether Austrian cadastral maps from the 19th century present the image of the most transformed environment in the Western Carpathians as a result of agricultural activity. Land use structure and terrain forms were detected based on Austrian cadastral maps from 1848, airborne laser scanning and field studies. In two of the test areas, the percentage of arable fields was higher among the plots with stone mounds than the percentage among the plots without them. In the third test area, the relationship was reversed. Also, lynchets, terraces and stone walls sometimes occur in plots that were not arable fields in 1848. Thus, the Austrian cadastral maps from 1848 could not reflect the maximal range of arable fields in the Carpathians in the 19th century. However, it is impossible to determine the historical structure of land use precisely. Nevertheless, an inventory of terrain forms can be used to assess land use when historical maps have not preserved or when available maps do not present land use in detail.


Geoderma ◽  
2004 ◽  
Vol 118 (3-4) ◽  
pp. 149-165 ◽  
Author(s):  
Zewdu Eshetu ◽  
Reiner Giesler ◽  
Peter Högberg

2015 ◽  
Vol 19 (1) ◽  
pp. 40-52 ◽  
Author(s):  
Andry Randrianarison ◽  
Rodolphe Schlaepfer ◽  
Robert Mills ◽  
Dominique Hervé ◽  
Samuel Razanaka ◽  
...  

2002 ◽  
Vol 53 (3) ◽  
pp. 367-374 ◽  
Author(s):  
J. H. Jussy ◽  
W. Koerner ◽  
É. Dambrine ◽  
J. L. Dupouey ◽  
M. Benoit

2014 ◽  
Vol 651-653 ◽  
pp. 1205-1215
Author(s):  
Tao Wang ◽  
Hai Chen

Farmers are the direct users of agricultural land and their decision-making affects the agricultural landscape pattern. The influencing factors for farmer land use decision-making were studied, and a method for elucidating the micro-mechanism of the multi-agent and cellular automata models was proposed. Mengcha village is located in Mizhi County of Shaanxi Province in northwest China. The neighborhoods in the village, as well as the kinship networks and socioeconomic conditions of the farmers, were chosen for the calculation of neighborhood similarity (NBSLY), kinship similarity (KSSLY), and socioeconomic similarity (SESLY). At the parcel level, planted crops figure importantly in farmer decision-making and are expressed by parcel similarity (PCSLY). On the basis of the similarity values and two-dimensional tables of NBSLY-PCSLY, KSSLY-PCSLY, and SESLY-PCSLY, (1) NBSLY was weakly correlated with farmer decision-making (PCSLY), which did not diminish with distance between neighboring buildings in the village. (2) For KSSLY, brotherhood accounted for a considerable proportion of decision-making with 68.92% of brotherhoods having similar or pre-similar decision-making. KSSLY imposed considerable influence on farmer decision-making. (3) Farmer decision-making was correlated with SESLY. With increasing SESLY, PCSLY showed an increasing then decreasing tendency. The 2007 results were verified using 2008 data, and the validation yielded identical results for these years. Farmer decision-making is the result of interaction among many factors, and the comprehensive exploration of this issue necessitates support by detailed micro-data.


2011 ◽  
Vol 5 (1) ◽  
pp. 41-58 ◽  
Author(s):  
H. (Henk) Kramer ◽  
C.A. (Sander) Mücher ◽  
G.W. (Gerard) Hazeu

In this paper we describe how historical land use information has been derived for the whole of Europe, using the World Atlas of Agriculture, scale 1: 2,500,000. This paper describes the process of converting the analog land-use maps to a digital European historical land-use database, the Historical Land Use Database 1960 (HISLU60). The processing techniques that are applied in this process are commonly used for the processing of satellite imagery. The paper maps were scanned and geo-referenced. Image filtering techniques were used to eliminate the cartographic elements like text and boundaries. Land-use classes were created from the colours in the maps using image classification techniques. As a last step, GIS filtering functions were used to eliminate remaining cartographic elements and small classification errors. The HISLU60 database contains six land-use classes; arable land, grassland, forest, non-agricultural land, inland water and urban. It is a raster dataset with a cell size of 250 meters. The HISLU60 database was validated by performing a statistical comparison with three reference datasets. The overall classification accuracy is around 50 percent. Despite its limitations, the HISLU60 database gives an overview of the pan-European land use around 1960.


Baltica ◽  
2016 ◽  
Vol 29 (1) ◽  
pp. 19-32
Author(s):  
Jānis Krūmiņš ◽  
Māris Kļaviņš ◽  
Laimdota Kalniņa ◽  
Valdis Segliņš ◽  
Enn Kaup

The article presents a study of the physico-chemical properties of fen peat and their influence on the metal accumulation patterns in three Latvian fens: Svētupes Mire, Elku Mire and Vīķu Mire. Full peat profiles were obtained at all study sites and analysed with a multi-proxy approach. The content of metals in fen peat was determined using the atomic absorption spectroscopy (AAS) and normalised to the concentration of Ti in the studied peat profiles. Both the character of deposits and agricultural land use in the mire catchment areas were taken into account and the possible natural and anthropogenic metal supply sources were evaluated. The content of metals in the studied fen peat significantly varied due to the heterogeneity of fen environment; however, noticeable similarities were also traced throughout all study sites. The results indicate an increased amount of transition metals and Pb in the upper peat layer. This can be explained by a direct impact from anthropogenic sources (agricultural land use, pollution, etc.). Metal binding in fen peat profiles is directly related to the alkali and alkaline earth metal content in peat, as Ca, Mg, Na and K ions are replaced by more tightly bound metal ions. In raised bogs, in turn, metal binding is associated with the acidic functional groups common to peat.


Sign in / Sign up

Export Citation Format

Share Document