scholarly journals Modelling agricultural land abandonment in a fine spatial resolution multi-level land-use model: an application for the EU

2020 ◽  
pp. 104946
Author(s):  
Carolina Perpiña Castillo ◽  
Chris Jacobs-Crisioni ◽  
Vasco Diogo ◽  
Carlo Lavalle
Keyword(s):  
Land Use ◽  
Spatial Resolution ◽  
Agricultural Land ◽  
Land Abandonment ◽  
Land Use Model ◽  
Fine Spatial Resolution ◽  
Multi Level ◽  
The Eu

scholarly journals Agricultural Land Abandonment and Farmers’ Perceptions of Land Use Change in the Indus Plains of Pakistan: A Case Study of Sindh Province

2019 ◽  
Vol 11 (17) ◽  
pp. 4663
Author(s):  
Habibullah Rajpar ◽  
Anlu Zhang ◽  
Amar Razzaq ◽  
Khalid Mehmood ◽  
Maula Bux Pirzado ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Survey Data ◽  
Agricultural Land ◽  
Environmental Changes ◽  
Secondary Data ◽  
Land Abandonment ◽  
Agricultural Lands ◽  
Sindh Province ◽  
The Government

Agriculture is the mainstay of Pakistan’s economy. However, it has been noticed that farmers are increasingly giving up agriculture in favor of non-agricultural activities. This study was conducted in the Khairpur district of Sindh province, which is part of the Indus Plains in Pakistan. The main purpose of the study was to investigate the current and future land use change (LUC) trends and to study farmers’ perceptions of the causes and consequences of LUC and agricultural land abandonment (ALA) in the study area. The study used field survey data and secondary data obtained from the government sources. The results show that agricultural land in the region has decreased by about 9% in the past two decades. Survey data analysis confirms this because more than 80% of farmers believe that agricultural land in the area has declined over time. In addition, farmers believe that socioeconomic and environmental changes are the main reasons for LUC and ALA. We used a logistic regression model to determine the factors that influence farmers’ decisions to sell agricultural land for other uses. The results show that the age, income, land ownership, farm inheritance by successors, social networks and lack of basic facilities in the study area are the main determinants of farmers’ decisions to sell agricultural lands. In particular, farmers’ integration into the social network and their belief that the farm will be inherited by heirs reduces the possibility of selling land. As for the consequences of LUC and ALA, the results indicate that farmland prices, weeds infestation, urban diffusion, and pressure on existing infrastructure have increased in the study area. In addition, the results show that the prospects of farming in the area remain grim as most farmers indicated that they were willing to abandon agricultural lands in favor of other revenue generation activities. The study suggests that policymakers should pay close attention to controlling rapid LUC and ALA to keep lands green.

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

Land ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 316 ◽  
Author(s):  
Robert Pazúr ◽  
Juraj Lieskovský ◽  
Matthias Bürgi ◽  
Daniel Müller ◽  
Tibor Lieskovský ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Landsat Imagery ◽  
Land Use Changes ◽  
Boosted Regression Trees ◽  
Land Abandonment ◽  
Agricultural Land Use ◽  
Open Market ◽  
The European Union ◽  
National Capital

Central and Eastern Europe has experienced fundamental land use changes since the collapse of socialism around 1990. We analyzed 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 analyzed 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.

scholarly journals Intensity and Driving Forces of Land Abandonment in Eastern Poland

2020 ◽  
Vol 10 (10) ◽  
pp. 3500 ◽  
Author(s):  
Wojciech Zgłobicki ◽  
Kamil Karczmarczuk ◽  
Bogusława Baran-Zgłobicka
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Environmental Changes ◽  
Driving Forces ◽  
Arable Land ◽  
Land Abandonment ◽  
Farm Size ◽  
Study Objective

Agricultural land is an important natural resource and forms the basis for food production. Global and local socio-economic and environmental changes are often the driving forces of changes in land cover and land use. Land abandonment in rural areas is one of the processes observed in Europe today and usually leads to increased afforestation. The intensity of this process in Central Europe is linked to the political and economic changes that took place at the end of the 20th century. The study objective was to identify the natural and socio-economic factors of this process in Lublin Province—a major region of agricultural production in Poland. From 1990 to 2018, over 130,000 ha were excluded from agricultural use, which represents 7% of the arable land in 1990. Land abandonment showed considerable spatial differences when comparing different counties: its magnitude ranged from 4% to 13% of the county area. At the same time, due to the specific type of land use in the province (small farm holdings divided into several fields), the intensity of land abandonment was underestimated when based on overview data (CORINE). It was observed that the intensity of this process was correlated with the natural conditions (topography, soils) for agricultural production and the socio-economic characteristics (area of arable land, forest cover changes, farm size) of the counties as well as the absorption of Common Agricultural Policy funds.

scholarly journals Height of Successional Vegetation Indicates Moment of Agricultural Land Abandonment

2018 ◽  
Vol 10 (10) ◽  
pp. 1568 ◽  
Author(s):  
Natalia Kolecka
Keyword(s):  
Land Use ◽  
Laser Scanning ◽  
Agricultural Land ◽  
Agricultural Landscapes ◽  
Land Abandonment ◽  
Slope Aspect ◽  
Small Scale ◽  
Vegetation Height ◽  
Before And After ◽  
Successional Vegetation

One of the major land use and land cover changes in Europe is agricultural land abandonment (ALA) that particularly affects marginal mountain areas. Accurate mapping of ALA patterns and timing is important for understanding its determinants and the environmental and socio-economic consequences. In highly fragmented agricultural landscapes with small-scale farming, subtle land use changes following ALA can be detected with high resolution remotely sensed data, and successional vegetation height is a possible indicator of ALA timing. The main aim of this study was to determine the relationship between successional vegetation height and the timing of agricultural land abandonment in the Budzów community in the Polish Carpathians. Areas of vegetation succession were vectorized on 1977, 1997, and 2009 orthophotomaps, enabling the distinguishing of vegetation encroaching on abandoned fields before and after 1997. Vegetation height in 2012–2014 was determined from digital surface and terrain models that were derived from airborne laser scanning data. The median heights of successional vegetation that started development before and after 1997 were different (6.9 m and 3.2 m, respectively). No significant correlations between successional vegetation height and elevation, slope, aspect, and proximity to forest were found. Thus, the timing of agricultural land abandonment is the most important factor influencing vegetation height, whereas environmental characteristics on this scale of investigation may be neglected.

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