scholarly journals Land Use Changes in Spain. Drivers and Trends in Agricultural Land Use

2018 ◽  
Vol 7 (2) ◽  
pp. 1-8
Author(s):  
María Mar Delgado-Serrano ◽  
José Ángel Hurtado-Martos
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Vital Role ◽  
Water Ecosystem ◽  
Forested Areas ◽  
Level 3 ◽  
Agricultural Use ◽  
Essential Resource ◽  
Using Data

AbstractLand is an essential resource and plays a vital role in providing food and food security, water, ecosystem services and territorial resilience. However, the past few decades have generated enormous and increasingly unsustainable pressures on land use. The objective of this research is to analyse the main land use changes in Spain between 1987 and 2011 using data provided by the Corine Land Cover (CLC) project. The general trends in land use change at CLC level 1 in this period, and more specifically the changes occurring at CLC level 3 in land destined for agricultural use are analysed. The main reasons that explain these changes, including policy influences, are then identified. The results show that the area occupied by buildings and infrastructure has doubled, agricultural land has decreased and irrigated land has increased; forested areas have also increased, but their ecological quality has been degraded. These trends question the future sustainability of that land use in the analysed period.

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.

scholarly journals A Comparison of Approaches to Regional Land-Use Capability Analysis for Agricultural Land-Planning

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 458
Author(s):  
Tara A. Ippolito ◽  
Jeffrey E. Herrick ◽  
Ekwe L. Dossa ◽  
Maman Garba ◽  
Mamadou Ouattara ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Crop Production ◽  
Agricultural Land ◽  
Arable Land ◽  
Agricultural Activity ◽  
Field Samples ◽  
Agricultural Potential ◽  
Fertility Data ◽  
Using Data

Smallholder agriculture is a major source of income and food for developing nations. With more frequent drought and increasing scarcity of arable land, more accurate land-use planning tools are needed to allocate land resources to support regional agricultural activity. To address this need, we created Land Capability Classification (LCC) system maps using data from two digital soil maps, which were compared with measurements from 1305 field sites in the Dosso region of Niger. Based on these, we developed 250 m gridded maps of LCC values across the region. Across the region, land is severely limited for agricultural use because of low available water-holding capacity (AWC) that limits dry season agricultural potential, especially without irrigation, and requires more frequent irrigation where supplemental water is available. If the AWC limitation is removed in the LCC algorithm (i.e., simulating the use of sufficient irrigation or a much higher and more evenly distributed rainfall), the dominant limitations become less severe and more spatially varied. Finally, we used additional soil fertility data from the field samples to illustrate the value of collecting contemporary data for dynamic soil properties that are critical for crop production, including soil organic carbon, phosphorus and nitrogen.

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 Analisis Alih Fungsi Lahan di Kabupaten Aceh Selatan

2018 ◽  
Vol 3 (2) ◽  
pp. 400-408
Author(s):  
Riski Yunianda ◽  
Syakur Syakur ◽  
Teti Arabia
Keyword(s):  
Land Use ◽  
Spatial Pattern ◽  
Spatial Data ◽  
Agricultural Land ◽  
Spatial Data Analysis ◽  
Agricultural Land Use ◽  
Dry Land ◽  
Land Distribution ◽  
Space Pattern ◽  
Agricultural Use

Abstrak. Seiring terjadinya penyimpangan penggunaan lahan sangat sering terjadi terhadap rencana tata ruang wilayah (RTRW). Daerah pinggiran kota merupakan wilayah yang banyak mengalami perubahan penggunaan lahan terutama perubahan penggunaan lahan pertanian menjadi non pertanian. Penelitian ini bertujuan untuk menganalisis perubahan penggunaan lahan pertanian di Kabupaten Aceh Selatan tahun 2013 dengan tahun 2017 dan menganalisis keselarasan penggunaan lahan pertanian eksisting tahun 2017 dengan pola ruang Kabupaten Aceh Selatan tahun 2013-2033. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan teknik survai. Sedangkan analisis data spasial menggunakan SIG dengan konsep extract, overlay dan intersect. Hasil kajian menunjukkan hasil koreksi pada pengunaan lahan pertanian tahun 2013 dengan tahun 2017 didapatlah luas penggunaan lahan pertanian yang telah beralih fungsi seluas 8.041,56 ha, yang mana pada lahan sawah seluas 3.680,30 ha dan pada pertanian lahan kering seluas 4.361,26 ha. Penggunaan lahan pertanian yang telah beralih fungsi tersebut telah menjadi berbagai macam penggunaan lahan lainnya yang tersebar di seluruh Kabupaten Aceh Selatan, penggunaan lahan pertanian yang selaras dengan rencana pola ruang memiliki luas 36.293,85 ha (91,30%), penggunaan lahan yang tidak selaras yaitu Penggunaan lahan eksisting tidak selaras dengan rencana pola ruang seluas 1.513,53 ha (3,81%), dan belum terlaksana atau belum terealisasi terhadap lahan pertanian yang direncanakan terhadap pola ruang atau masih dapat berubah sesuai dengan rencana pola ruang seluas 6.711,08  ha (14,44 %). Analysis of Functional Land Distribution of Agriculture in District Aceh SelatanAbstract. Absorption of deviation of land use is very frequent to spatial planning (RTRW). Suburban areas are areas that have undergone many changes in land use due to changes in agricultural land use to non-agricultural use. This research was conducted for 2013 with 2017 and analysis of existing agricultural land use in 2017 with South Aceh Regency spatial pattern year 2013-2033. The method used in this research is descriptive method with survey technique. While spatial data analysis using GIS concept with overlay and intersect concept. The results showed that agricultural land in 2013 with the year 2017 obtained the wide use of agricultural land that has a function conversion of 8,041.56 ha, which in the rice field area of 3,680.30 ha and on dry land of 4,361.26 ha. The use of converted agricultural land into various land uses scattered throughout the District of South Aceh, different use of agricultural land with plans of wide spatial pattern 36,29,85 ha (91,30%), land use that is not aligned Land use the existing is not aligned with the plan of the pattern of the space of 1,513.53 ha (3.81%), and has not been realized or not yet realized on agricultural land that allows the pattern of space can be changed in accordance with the Plan of Space Pattern covering 6,711,08 ha (14,44%).

scholarly journals Land use changes in the hinterland of major Slovak cities

Geografie ◽  
2010 ◽  
Vol 115 (4) ◽  
pp. 413-439 ◽  
Author(s):  
Martin Šveda ◽  
Daniela Vigašová
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatial Structure ◽  
Land Use Changes ◽  
Detailed Comparison ◽  
Land Use Land Cover ◽  
Residential Areas ◽  
Shopping Centres ◽  
Agricultural Use ◽  
Land Types

The countryside around major Slovak cities is undergoing significant transformation. The construction of shopping centres, administrative buildings, logistical sites, residential areas and changes in the agricultural use of land are causing vast changes in land use (land cover). The objective of this paper is to examine changes in the spatial structure of land use in the hinterland of 11 Slovak cities, with more than 50 thousand inhabitants, during the period from 2000 to 2008. On the basis of a detailed comparison of data obtained from the Aggregated Areas of Land Types database (Úhrnné hodnoty druhov pozemkov) we analyzed changes in land use in 847 municipalities within the Functional Urban Regions of Bratislava, Košice, Prešov, Nitra, Žilina, Banská Bystrica, Trnava, Trenčín, Poprad and Prievidza. The results of the research confirmed significantly differentiated changes in land use. Whereas in the capital of Bratislava changes in land use are primarily caused by suburbanization, creating a relatively compact suburban zone, changes in land use were recorded only in selected sites in the rest of these major Slovak cities.

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 A Nested Land Uses–Landscapes–Livelihoods Approach to Assess the Real Costs of Land-Use Transitions: Insights from Southeast Asia

Land ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 11 ◽  
Author(s):  
Guillaume Lestrelin ◽  
Jean-Christophe Castella ◽  
Qiaohong Li ◽  
Thoumthone Vongvisouk ◽  
Nguyen Dinh Tien ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Forest Degradation ◽  
Economic Benefits ◽  
Opportunity Costs ◽  
Costs And Benefits ◽  
Wide Range ◽  
Forested Areas ◽  
Mitigate Climate Change ◽  
The Cost

Reducing emissions from deforestation and forest degradation (REDD+) is viewed as an effective way to mitigate climate change by compensating stewards of forested areas for minimizing forestland conversion and protecting forest services. Opportunity costs assess the cost of foregone opportunity when preserving the forest instead of investing in an alternative activity or resource use. This paper questions the calculation method of opportunity costs using averaged economic benefits and co-benefits of different land-use transitions. We propose a nested approach to land-use transitions at the interface between landscapes and livelihoods and assessing a wide range of potential socio-ecological costs and benefits. Combining household surveys and focus groups with participatory mapping, we applied the approach in villages of Laos, Vietnam and China positioned along a broad transition trajectory from subsistence shifting cultivation to intensive commercial agriculture. By looking beyond the economics of land use, we highlight important linkages between land-use changes and livelihood differentiation, vulnerability and inequalities. Our results show the importance of addressing the impacts of land-use transitions on a wide range of potential ecological and socioeconomic costs and benefits at multiple levels.

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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