scholarly journals Determinants of Farmland Abandonment in Selected Metropolitan Areas of Poland: A Spatial Analysis on the Basis of Regression Trees and Interviews with Experts

2019 ◽  
Vol 11 (11) ◽  
pp. 3071 ◽  
Author(s):  
Wojciech Sroka ◽  
Bernd Pölling ◽  
Tomasz Wojewodzic ◽  
Miroslaw Strus ◽  
Paulina Stolarczyk ◽  
...  
Keyword(s):  
Agricultural Production ◽  
Metropolitan Areas ◽  
Land Use Changes ◽  
Regression Tree ◽  
Primary Data ◽  
Farmland Abandonment ◽  
Migration Rates ◽  
Part Time ◽  
Socio Economic Variables ◽  
Tree Method

Dynamic land use changes in metropolitan areas are global phenomena. The influence of urbanisation processes on farmland is twofold: urban encroachments predominantly take place at the expense of farmland, and also result in farmland abandonment processes, especially in Central Eastern and Southern Europe. This paper analyses determinants of farmland abandonment in 280 municipalities situated in six selected Polish metropolitan areas. The analysis, which covers secondary statistical data as well as primary data collected via a survey among experts, applies the regression tree method. Within the six selected metropolitan areas nearly 9% of the farmland is permanently excluded from agricultural production (actual abandonment), plus another 11.5% is currently not being used for production (semi-abandonment). For actual abandonment, physical and economic sizes of farms, part-time farming, and soil quality constitute the most relevant determinants. Socio-economic variables play a more important role in explaining semi-abandonment than actual abandonment. Temporary exclusion of farmland from agricultural production is connected with urbanisation processes. Higher shares of built-up and urbanised areas, higher population densities, and positive migration rates result in higher shares of semi-abandonment. Naturally, areas characterised by agrarian fragmentation, where due to low agricultural incomes farmers more often decided to abandon agricultural production, were, in particular, subject to this process.

scholarly journals CONVERSION OF AGRICULTURAL LAND TO NON-AGRICULTURAL PURPOSES IN SELECTED POLISH METROPOLITAN AREAS

2018 ◽  
Vol 17 (2) ◽  
pp. 97-107 ◽  
Author(s):  
Wojciech Sroka
Keyword(s):  
Metropolitan Area ◽  
Environmental Conditions ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Metropolitan Areas ◽  
Land Conversion ◽  
Farmland Abandonment ◽  
High Quality ◽  
The Core

The aim of the paper is to determine the scale of agricultural land conversion in gmina (municipalities) located in selected metropolitan areas of Poland. Analyses were conducted taking into account the location of agricultural land in relation to the core of metropolitan area and its suitability for agricultural production. The research has shown that in the metropolitan areas selected for analysis, agricultural land conversion in the period 1996–2014 was over twice as fast as the average for Poland, with the most land converted in the core of a metropolitan area, little less in the first zone of gmina around the core, and the least in gmina located on the outskirts of a metropolitan area. The hypothesis saying that the distance of a gmina from the core of the metropolitan area is a significant factor in the differences in conversion processes, and high quality of environmental conditions of agricultural production does not limit (in a significant way) the process of farmland abandonment has been positively verified.

scholarly journals West Virginia Farm Direct Marketing: A County Level Analysis

2006 ◽  
Vol 38 (3) ◽  
pp. 575-584 ◽  
Author(s):  
Cheryl Brown ◽  
Jesse E. Gandee ◽  
Gerard D'Souza
Keyword(s):  
West Virginia ◽  
Agricultural Production ◽  
Direct Marketing ◽  
Vegetable Production ◽  
County Level ◽  
Housing Value ◽  
Close Proximity ◽  
Part Time ◽  
Direct Market ◽  
Level Analysis

To understand the factors that influence farm direct marketing, a linear regression model is estimated to test the relationships between county-level direct market sales and socioeconomic, agricultural production, and location characteristics for West Virginia. The results show that higher median housing value, increased population density, a younger population, a greater number of direct market farms, more diversity of fruit and vegetable production and closer proximity to Washington, D.C., increase direct market sales. The results have implications for other states with a large proportion of small and part-time farmers, many of whom are located in close proximity to metropolitan areas.

scholarly journals Perubahan Penggunaan Lahan Di Provinsi Lampung Dan Pengaruhnya Terhadap Insidensi Demam Berdarah Dengue (DBD)

2016 ◽  
Vol 4 (3) ◽  
pp. 35
Author(s):  
Agustin Arisandi Mustika ◽  
Samsul Bakri ◽  
Dyah Wulan S. R. Wardani
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Land Use Changes ◽  
Hemorrhagic Fever ◽  
Forest Area ◽  
Primary Data ◽  
Forest Conversion ◽  
Housing Conditions ◽  
Poverty Level ◽  
The Impact

The conversion of forest area into non-forest area generally can causing the ecology and micro climate change especially rainfall.   The impact of these changes in other side can increasing the probability in occurrence of vector-born disease such as Aedes aegypti mosquito couse of Dengue Hemorrhagic Fever (DHF).   Besides of environmental factors, poverty level, rainfall, and housing conditions the suspected also affect the incidence of dengue.  This research aimed to determine of changes in forest cover and land, poverty level, and housing conditions as well as the impact to the incidence of dengue fever in Lampung. Data collected included primary data of land use changes of Lampung Province and the secondary  data  such  as  the  data  of  precipitation  rapid,  poverty  level,  healthy  house proportion and Incidence Rate of dengue.  The dynamic of changes in forest cover and landper distric/city identified through by Landsat image interpretation 5, 7 and 8  in 2002, 2009 and 2014.   While the impact on DHF analyzed using multiple linear models.   The results showed that there was a significant relationship between the changes of the people forest cover   -1,2634   (p=0,001),   intensive   agricultural   0,5315   (p=0,016),   the   number   of precipitation rapid 0,06869 (p=0,087) and the poverty level -0,2213 (p=0,038) and urbanism region in the towns and villages 28,75 (p=0,010) toward the incidence of dengue in Lampung from the year 2003 to 2014.  Based on the reseacrh result that the goverment should be able to increase the percentage of forest area cause able to decrease the incidence DHF. Keyword: forest conversion, incidence DHF, land use changes

scholarly journals EXPLORING THE FACTORS OF FARMLAND ABANDONMENT – A CASE STUDY OF THE CHOSEN POLISH METROPOLITAN AREAS

2017 ◽  
Vol XIX (4) ◽  
pp. 187-194 ◽  
Author(s):  
Wojciech Sroka ◽  
Aleksandra Płonka ◽  
Piotr Krzyk
Keyword(s):  
Population Density ◽  
Agricultural Land ◽  
Metropolitan Areas ◽  
Small Farms ◽  
Farmland Abandonment ◽  
Secondary Research ◽  
Academic Literature ◽  
Net Migration ◽  
Research Material

The main aim of this paper was to assess the factors of farmland abandonment in selected metropolitan areas in Poland. The research used secondary research material, including data from the Main Statistical Office (Polish GUS) and academic literature. Analyses were conducted by means of the method of regression trees, among other things. The research found out that nearly 16% of farmland in Polish metropolitan areas had been abandoned. The factor that most affected set-aside was the share of small farms with an area of less than 5 ha of agricultural land. In communes with the majority of small farms, almost 30% of agricultural land was set aside. Entrepreneurship indicator, population density and net migration were also significant in explaining the phenomenon discussed in the paper. High values of these measures correlated with more advanced processes of farmland abandonment.

scholarly journals Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment

2020 ◽  
Vol 12 (21) ◽  
pp. 3620
Author(s):  
Indrajit Chowdhuri ◽  
Subodh Chandra Pal ◽  
Alireza Arabameri ◽  
Asish Saha ◽  
Rabin Chakrabortty ◽  
...  
Keyword(s):  
Land Use Changes ◽  
Area Under The Curve ◽  
Regression Tree ◽  
Gully Erosion ◽  
Support Vector ◽  
Boosted Regression Tree ◽  
Conditioning Factors ◽  
Susceptibility Maps ◽  
Chotanagpur Plateau ◽  
Additive Regression

The Rarh Bengal region in West Bengal, particularly the eastern fringe area of the Chotanagpur plateau, is highly prone to water-induced gully erosion. In this study, we analyzed the spatial patterns of a potential gully erosion in the Gandheswari watershed. This area is highly affected by monsoon rainfall and ongoing land-use changes. This combination causes intensive gully erosion and land degradation. Therefore, we developed gully erosion susceptibility maps (GESMs) using the machine learning (ML) algorithms boosted regression tree (BRT), Bayesian additive regression tree (BART), support vector regression (SVR), and the ensemble of the SVR-Bee algorithm. The gully erosion inventory maps are based on a total of 178 gully head-cutting points, taken as the dependent factor, and gully erosion conditioning factors, which serve as the independent factors. We validated the ML model results using the area under the curve (AUC), accuracy (ACC), true skill statistic (TSS), and Kappa coefficient index. The AUC result of the BRT, BART, SVR, and SVR-Bee models are 0.895, 0.902, 0.927, and 0.960, respectively, which show very good GESM accuracies. The ensemble model provides more accurate prediction results than any single ML model used in this study.

scholarly journals Direct Measurement of Mass and Economic Harvest and Post-Harvest Losses in Spanish Persimmon Primary Production

Agriculture ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 581
Author(s):  
Maria-Angeles Fernandez-Zamudio ◽  
Héctor Barco ◽  
Felicitas Schneider
Keyword(s):  
Primary Production ◽  
Food Chain ◽  
Agricultural Production ◽  
Total Mass ◽  
Complex Problem ◽  
Primary Data ◽  
Economic Losses ◽  
Loss Reduction ◽  
Mass Losses ◽  
And Storage

Globally, one in every three produced kilograms is wasted at some point along the entire agri-food chain. Unfortunately, knowledge about losses and waste is not equally distributed along the food chain. In fact, in some stages the primary data required to properly estimate the magnitude of the problem are lacking. This is especially true for agricultural production, for which studies that have used on-site measurements are scarce. The present study analyses the mass losses and unpaid share that occur during the harvest process and persimmon storage in warehouses in the Valencia region, Spain. The study was carried out using on-site measurements and primary data from the harvest and storage phases. Losses were also classified according to their causes. The total mass and economic losses were estimated as either 29.5% for the total produced volume or 38.5% for the number of finally commercialised kilograms. This work aims to highlight the complex problem in primary production with the mass and economic losses that farmers bear and to show the potential of loss reduction measures.

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