Land take and industrial zones

2020 ◽  
Author(s):  
Jaroslava Janku ◽  
Josef Kozák ◽  
Kristina Macounová ◽  
Karel Jacko ◽  
Adéla Marie Marhoul ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Significant Loss ◽  
Soil Protection ◽  
Rapid Decline ◽  
Industrial Zone ◽  
Land Protection ◽  
Soil Sealing ◽  
Industrial Zones

<p>Currently, we can see a rapid decline of agricultural land, especially for construction purposes. This negative trend is evident across Europe, the Czech Republic is the country with the fastest loss of land in the EU. One reason for the significant loss of agricultural land is building industrial zones is their utilisation of greenfield areas, and their occupying new areas of agricultural land, often the most the most fertile. The analysis deals with the occupied area (the area of a particular industrial zone), the percentage utilization of that industrial zone, the number of employees in the industrial zone, and the land quality expressed by means of the agricultural land protection class. The results of the analysis show the low usability of industrial zones, the large occupation of agricultural land, and the low benefits to the Czech state and Czech citizens. The results also show poor land use policy in relation to soil protection. This work is followed by the project Sustainable management of natural resources with emphasis on non-production and production ability of soil, the results of which will be included in legislation and binding for spatial planning.</p><p><strong>Keywords:</strong> soil sealing, land take, land use changes, agricultural land management, land agriculture protection, brownfield</p>

scholarly journals Industrial zones and their benefits for society

2020 ◽  
Vol 15 (No. 4) ◽  
pp. 258-272
Author(s):  
Jaroslava Janků ◽  
Kristina Heřmanová ◽  
Josef Kozák ◽  
Jan Jehlička ◽  
Mansoor Maitah ◽  
...  
Keyword(s):  
Agricultural Land ◽  
Significant Loss ◽  
Soil Protection ◽  
Rapid Decline ◽  
Industrial Zone ◽  
Land Quality ◽  
The Czech Republic ◽  
Land Protection ◽  
Industrial Zones ◽  
The Eu

Currently, we can see a rapid decline of agricultural land with new uses, especially for construction purposes. This negative trend is evident across Europe, the Czech Republic has the fastest loss of land in the EU. One reason for the significant loss of agricultural land is building industrial zones, which utilises of greenfield areas, and their occupying new areas of agricultural land, often the most the most fertile. The analysis deals with the occupied area (the area of a particular industrial zone), the percentage utilisation of that industrial zone, the number of employees in the industrial zone, and the land quality expressed by means of the agricultural land protection class. The results of the analysis show the low usability of industrial zones, the large occupation of the agricultural land, and the low benefits to the Czech state and Czech citizens. The results also show the poor land use policy in relation to the soil protection. This work is followed by the project Sustainable management of natural resources with an emphasis on non-production and production ability of the soil, the results of which will be included in legislation and be binding for spatial planning.

scholarly journals URBANIZATION AND LAND USE CHANGES IN RURAL TOWN: GUAR CEMPEDAK, KEDAH

2021 ◽  
Vol 19 ◽  
Author(s):  
Abdul Ghapar Othman ◽  
Kausar Hj. Ali ◽  
Izuandi Yin ◽  
Mou Leong Tan ◽  
Nurul Hanisah Mohd Jizan
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Agricultural Land ◽  
Growth Parameters ◽  
Land Use Changes ◽  
Small Towns ◽  
Significant Loss ◽  
Physical Factors ◽  
Land Uses ◽  
Rural Settlements

The change in land uses in rural areas is often associated with urbanization process. However, urbanization and industrialization also caused dramatic changes in the land use of rural areas and small towns, where a significant loss of agricultural land and an increase in the construction of rural settlements have led to transformation from non-built-up to built-up land uses. Factors influencing this transformation are many, ranging from physical, economic, social and environmental reasons. This paper intends to study land use changes from 2006 to 2020, determine land use growth parameters, and establish whether the identified physical factors conform to the land use growth and changes in Guar Cempedak, Kedah by applying the technique of overlay, AHP and fishnet using GIS. Findings of the study show that there were significant land use changes during the period of 2006 to 2014, where commercial, institution and public facilities and transportation experienced significant increase, while non-built land uses such as forest, lost more than 90% of its area to other land uses. Distance to transport network and distance to commercial activities identified as the main influencing factors, have been found to be consistent with the result of intensity analysis on land use changes in this small town.

scholarly journals Assessing and analysing the impact of land take pressures on agricultural land

2016 ◽  
Author(s):  
Ece Aksoy ◽  
Mirko Gregor ◽  
Christoph Schröder ◽  
Manuel Löhnertz ◽  
Geertrui Louwagie
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Agricultural Land ◽  
Renewable Resource ◽  
Soil Protection ◽  
High Productivity ◽  
Soil Sealing ◽  
Thematic Strategy ◽  
Productivity Potential ◽  
The Impact

Abstract. Land, and here in particular soil, is a finite and essentially non-renewable resource. EU-wide, land take, i.e. the increase of settlement area over time, consumes more than 1000 km2 annually of which half is actually sealed and, hence, lost under impermeable surfaces. Land take and in particular soil sealing has already been identified as one of the major soil threats in the 2006 EC Communication ''Towards a Thematic Strategy on Soil Protection'' and the Soil Thematic Strategy, and has been confirmed as such in the report on the implementation of this strategy. The aim of this study is to relate the potential of land for a particular use in a given region with the actual land use. This allows evaluating whether land (especially the soil dimension) is used according to its (theoretical) potential. To this aim, the impact of several land cover flows related to urban development on soils with a good, average and poor production potential were assessed and mapped. Thus, the amount and quality (potential for agricultural production) of agricultural land lost between the years 2000 and 2006 was identified. In addition, areas with high productivity potential around urban areas, indicating areas of potential future land use conflicts for Europe, were identified.

scholarly journals Impact of Land Use Changes on Agricultural Land Use: Evidence from Jalingo Region of Taraba State, Nigeria

2020 ◽  
pp. 1-12
Author(s):  
Yusuf Mohammed Bakoji ◽  
Elijah Elizabeth ◽  
Umar Jauro Abba ◽  
Ayesukwe Rimamsikwe Ishaku ◽  
Yusuf Iraru
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Significant Loss ◽  
Rate Of Change ◽  
Area Coverage ◽  
Agricultural Land Use ◽  
Land Use Pattern ◽  
Residential Land Use ◽  
Pass Through

This study examined the integration of Remote Sensing and Geographic Information System (RS/GIS) for analyzing land use in Jalingo Region, Taraba State for the period 1996 to 2016; the image of 1996, 2006 and 2016 was used. The study employed a supervised digital image classification method using Arc GIS 10.3 software and classified the land use into residential, agricultural, commercial and transport. The images were made to pass through the processes of georeferencing, image enhancement, image resampling and classification and also descriptive statistics was adopted to analyze the findings on the effect of Urbanization on agricultural land use. Data for the study was the image of Jalingo Region of 1996, 2006 and 2016; also data was collected primarily by the administration of the questionnaire, and a total of 289 well-structured questionnaires were administered. Result show there was a significant loss of agricultural land from 180.46 km2 to 135.66 km2. It also revealed an increase of residential land use from 10.30% area coverage in 1996 to 28.07% in 2016, commercial land use increased from 0.20% area coverage in 1996 to 2.60% and transport increased from 0.39% to 2.84% in the same study period, with an annual rate of change of 7.82%, 35.81% and  46.95% respectively. This study shows that agricultural land use pattern has been greatly affected by transport, residential and commercial land uses. These results could help city planners and policymakers to attain and sustain future urban development. It is therefore recommended that government should encourage the people to expand and build towards the outskirts of cities, like Joroyinu, Lankaviri, etc through the provision of incentives and forces of attraction that is available at the city center in these areas to avoid the problem of overcrowdings.

scholarly journals Changes in Coastal Agricultural Land Use in Response to Climate Change: An Assessment Using Satellite Remote Sensing and Household Survey Data in Tien Hai District, Thai Binh Province, Vietnam

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 627
Author(s):  
Duong H. Nong ◽  
An T. Ngo ◽  
Hoa P. T. Nguyen ◽  
Thuy T. Nguyen ◽  
Lan T. Nguyen ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Management Strategies ◽  
Household Survey ◽  
Extreme Weather Events ◽  
Agricultural Land Use ◽  
Landsat 8 ◽  
Land Uses

We analyzed the agricultural land-use changes in the coastal areas of Tien Hai district, Thai Binh province, in 2005, 2010, 2015, and 2020, using Landsat 5 and Landsat 8 data. We used the object-oriented classification method with the maximum likelihood algorithm to classify six types of land uses. The series of land-use maps we produced had an overall accuracy of more than 80%. We then conducted a spatial analysis of the 5-year land-use change using ArcGIS software. In addition, we surveyed 150 farm households using a structured questionnaire regarding the impacts of climate change on agricultural productivity and land uses, as well as farmers’ adaptation and responses. The results showed that from 2005 to 2020, cropland decreased, while aquaculture land and forest land increased. We observed that the most remarkable decreases were in the area of rice (485.58 ha), the area of perennial crops (109.7 ha), and the area of non-agricultural land (747.35 ha). The area of land used for aquaculture and forest increased by 566.88 ha and 772.60 ha, respectively. We found that the manifestations of climate change, such as extreme weather events, saltwater intrusion, drought, and floods, have had a profound impact on agricultural production and land uses in the district, especially for annual crops and aquaculture. The results provide useful information for state authorities to design land-management strategies and solutions that are economic and effective in adapting to climate change.

Impacts of agricultural land use changes on pesticide use in French agriculture

2016 ◽  
Vol 80 ◽  
pp. 113-123 ◽  
Author(s):  
Nicolas Urruty ◽  
Tanguy Deveaud ◽  
Hervé Guyomard ◽  
Jean Boiffin
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Agricultural Land Use ◽  
Pesticide Use

scholarly journals Assessing the Opportunity Cost of Carbon Stock Caused by Land-Use Changes in Taiwan

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1240
Author(s):  
Ming-Yun Chu ◽  
Wan-Yu Liu
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Carbon Storage ◽  
Carbon Emissions ◽  
Opportunity Cost ◽  
Carbon Stock ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Market Price ◽  
The Government

As compared with conventional approaches for reducing carbon emissions, the strategies of reducing emissions from deforestations and forest degradation (REDD) can greatly reduce costs. Hence, the United Nations Framework Convention on Climate Change regards the REDD strategies as a crucial approach to mitigate climate change. To respond to climate change, Taiwan passed the Greenhouse Gas Reduction and Management Act to control the emissions of greenhouse gases. In 2021, the Taiwan government has announced that it will achieve the carbon neutrality target by 2050. Accordingly, starting with focusing on the carbon sink, the REDD strategies have been considered a recognized and feasible strategy in Taiwan. This study analyzed the net present value and carbon storage for various land-use types to estimate the carbon stock and opportunity cost of land-use changes. When the change of agricultural land to artificial forests generated carbon stock, the opportunity cost of carbon stock was negative. Contrarily, restoring artificial forests (which refer to a kind of forest that is formed through artificial planting, cultivation, and conservation) to agricultural land would generate carbon emissions, but create additional income. Since the opportunity cost of carbon storage needs to be lower than the carbon market price so that landlords have incentives to conduct REDD+, the outcomes of this study can provide a reference for the government to set an appropriate subsidy or price for carbon sinks. It is suggested that the government should offer sufficient incentives to reforest collapsed land, and implement interventions, promote carbon trading policies, or regulate the development of agricultural land so as to maintain artificial broadleaf forests for increased carbon storage.

scholarly journals Uncertainties in the land-use flux resulting from land-use change reconstructions and gross land transitions

2017 ◽  
Vol 8 (1) ◽  
pp. 91-111 ◽  
Author(s):  
Anita D. Bayer ◽  
Mats Lindeskog ◽  
Thomas A. M. Pugh ◽  
Peter M. Anthoni ◽  
Richard Fuchs ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Terrestrial Ecosystem ◽  
Grid Cell ◽  
Carbon Stocks ◽  
Dynamic Global Vegetation Model ◽  
Soil C ◽  
Tropical Regions ◽  
C Stocks

Abstract. Land-use and land-cover (LUC) changes are a key uncertainty when attributing changes in measured atmospheric CO2 concentration to its sinks and sources and must also be much better understood to determine the possibilities for land-based climate change mitigation, especially in the light of human demand on other land-based resources. On the spatial scale typically used in terrestrial ecosystem models (0.5 or 1°) changes in LUC over time periods of a few years or more can include bidirectional changes on the sub-grid level, such as the parallel expansion and abandonment of agricultural land (e.g. in shifting cultivation) or cropland–grassland conversion (and vice versa). These complex changes between classes within a grid cell have often been neglected in previous studies, and only net changes of land between natural vegetation cover, cropland and pastures accounted for, mainly because of a lack of reliable high-resolution historical information on gross land transitions, in combination with technical limitations within the models themselves. In the present study we applied a state-of-the-art dynamic global vegetation model with a detailed representation of croplands and carbon–nitrogen dynamics to quantify the uncertainty in terrestrial ecosystem carbon stocks and fluxes arising from the choice between net and gross representations of LUC. We used three frequently applied global, one recent global and one recent European LUC datasets, two of which resolve gross land transitions, either in Europe or in certain tropical regions. When considering only net changes, land-use-transition uncertainties (expressed as 1 standard deviation around decadal means of four models) in global carbon emissions from LUC (ELUC) are ±0.19, ±0.66 and ±0.47 Pg C a−1 in the 1980s, 1990s and 2000s, respectively, or between 14 and 39 % of mean ELUC. Carbon stocks at the end of the 20th century vary by ±11 Pg C for vegetation and ±37 Pg C for soil C due to the choice of LUC reconstruction, i.e. around 3 % of the respective C pools. Accounting for sub-grid (gross) land conversions significantly increased the effect of LUC on global and European carbon stocks and fluxes, most noticeably enhancing global cumulative ELUC by 33 Pg C (1750–2014) and entailing a significant reduction in carbon stored in vegetation, although the effect on soil C stocks was limited. Simulations demonstrated that assessments of historical carbon stocks and fluxes are highly uncertain due to the choice of LUC reconstruction and that the consideration of different contrasting LUC reconstructions is needed to account for this uncertainty. The analysis of gross, in addition to net, land-use changes showed that the full complexity of gross land-use changes is required in order to accurately predict the magnitude of LUC change emissions. This introduces technical challenges to process-based models and relies on extensive information regarding historical land-use transitions.

scholarly journals Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework

2019 ◽  
Vol 8 (10) ◽  
pp. 454 ◽  
Author(s):  
Junfeng Kang ◽  
Lei Fang ◽  
Shuang Li ◽  
Xiangrong Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Cellular Automata ◽  
Markov Model ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Remote Sensing Images ◽  
Mapreduce Framework ◽  
Construction Land ◽  
Model Based

The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model. In this research, we designed a parallel CA-Markov model based on the MapReduce framework. The model was divided into two main parts: A parallel Markov model based on MapReduce (Cloud-Markov), and comprehensive evaluation method of land-use changes based on cellular automata and MapReduce (Cloud-CELUC). Choosing Hangzhou as the study area and using Landsat remote-sensing images from 2006 and 2013 as the experiment data, we conducted three experiments to evaluate the parallel CA-Markov model on the Hadoop environment. Efficiency evaluations were conducted to compare Cloud-Markov and Cloud-CELUC with different numbers of data. The results showed that the accelerated ratios of Cloud-Markov and Cloud-CELUC were 3.43 and 1.86, respectively, compared with their serial algorithms. The validity test of the prediction algorithm was performed using the parallel CA-Markov model to simulate land-use changes in Hangzhou in 2013 and to analyze the relationship between the simulation results and the interpretation results of the remote-sensing images. The Kappa coefficients of construction land, natural-reserve land, and agricultural land were 0.86, 0.68, and 0.66, respectively, which demonstrates the validity of the parallel model. Hangzhou land-use changes in 2020 were predicted and analyzed. The results show that the central area of construction land is rapidly increasing due to a developed transportation system and is mainly transferred from agricultural land.

scholarly journals Determinants of Land Use in Maine with Projections to 2050

1999 ◽  
Vol 16 (2) ◽  
pp. 82-88 ◽  
Author(s):  
Thomas E. Mauldin ◽  
Andrew J. Plantinga ◽  
Ralph J. Alig
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Soil Characteristics ◽  
Land Area ◽  
Usda Forest Service ◽  
Tax Assessment ◽  
Land Rents ◽  
Land Use Policies ◽  
Percentage Basis

Abstract Data on land use in Maine are assembled from USDA Forest Service inventories, the Census of Agriculture, and other sources. Regression analysis is used to estimate the relationships between land use and determinants of land use such as land rents and soil characteristics. The fitted models are used to project changes in land use to 2050. We project declines in private timberland area, though these losses are small on a percentage basis. Continued declines in agricultural land area and increases in urban land area also are projected. Land use policies that influence land rents such as preferential tax assessment programs can be used to deter socially undesirable land use changes. North. J. Appl. For. 16(2):82-88.

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