Next Article in Journal
Public Food Procurement as a Driving Force for Building Local and Agroecological Food Systems: Farmers’ Skepticism in Vega Baja del Jarama, Madrid (Spain)
Previous Article in Journal
Effects of Urbanization on Farmland Size and Diversified Farm Activities in Japan: An Analysis Based on the Land Parcel Database
Previous Article in Special Issue
A Visual Typology of Abandonment in Rural America: From End-of-Life to Treading Water, Recycling, Renaissance, and Revival
Open AccessFeature PaperArticle

Abandonment and Recultivation of Agricultural Lands in Slovakia—Patterns and Determinants from the Past to the Future

1
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland
2
Institute of Geography, Slovak Academy of Sciences, Stefanikova 49, 814 73 Bratislava, Slovakia
3
Institute of Landscape Ecology, Slovak Academy of Sciences, Akademická 2, 949 01 Nitra, Slovakia
4
Institute of Geography, University of Bern, CH-3012 Bern, Switzerland
5
Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Theodor-Lieser-Strasse 2, 06120 Halle (Saale), Germany
6
Geography Department, Humboldt Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
7
Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
8
Department of Theoretical Geodesy, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinskeho 11, 810 05 Bratislava, Slovakia
9
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
10
Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Øster Voldgade 10, DK-1350 København K, Denmark
11
Institute of Steppe of the Ural Branch of the Russian Academy of Sciences, Pionerskaya str. 11, 460000 Orenburg, Russia
*
Author to whom correspondence should be addressed.
Land 2020, 9(9), 316; https://doi.org/10.3390/land9090316
Received: 8 July 2020 / Revised: 2 September 2020 / Accepted: 3 September 2020 / Published: 7 September 2020
(This article belongs to the Special Issue Agricultural Land Abandonment: Patterns, Drivers and Consequences)
Central and Eastern Europe has experienced fundamental land use changes since the collapse of socialism around 1990. We analyzeanalyzed the patterns and determinants of agricultural land abandonment and recultivation in Slovakia during the transition from a state-controlled economy to an open-market economy (1986 to 2000) and the subsequent accession to the European Union (2000 to 2010). We quantified agricultural land-use change based on available maps derived from 30-m multi-seasonal Landsat imagery and analyzeanalyzed the socioeconomic and biophysical determinants of the observed agricultural land-use changes using boosted regression trees. We used a scenario-based approach to assess future agricultural land abandonment and recultivation until 2060. The maps of agricultural land use analysis reveal that cropland abandonment was the dominant land use process on 11% of agricultural land from 1986 to 2000, and on 6% of the agricultural land from 2000 to 2010. Recultivation occurred on approximately 2% of agricultural land in both periods. Although most abandoned land was located in the plains, the rate of abandonment was twice as high in the mountainous landscapes. The likelihood of abandonment increased with increased distance from the national capital (Bratislava), decreased with an increase of annual mean temperatures and was higher in proximity to forest edges and on steeper slopes. Recultivation was largely determined by the opposite effects. The scenario for 2060 suggests that future agricultural land abandonment and recultivation may largely be determined by climate and terrain conditions and, to a lesser extent, by proximity to economic centers. Our study underscores the value of synergetic use of satellite data and land-use modeling to provide the input for land planning, and to anticipate the potential effects of changing environmental and policy conditions. View Full-Text
Keywords: land cover; land use; land use intensity; remote sensing; machine learning; Landsat; land change drivers; Eastern Europe; socialism; scenario; climate land cover; land use; land use intensity; remote sensing; machine learning; Landsat; land change drivers; Eastern Europe; socialism; scenario; climate
Show Figures

Figure 1

MDPI and ACS Style

Pazúr, R.; Lieskovský, J.; Bürgi, M.; Müller, D.; Lieskovský, T.; Zhang, Z.; Prischchepov, A.V. Abandonment and Recultivation of Agricultural Lands in Slovakia—Patterns and Determinants from the Past to the Future. Land 2020, 9, 316.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop