Search results for "Land Use"

showing 10 items of 333 documents

Carbon sequestration potential and soil characteristics of various land use systems in arid region

2019

Abstract Soils contain one of the largest carbon (C) pools in the biosphere with the greatest potential of C sequestration to mitigate climate change impacts. The present study aimed at comparing C sequestration potential of various land use systems including forestlands, croplands, agroforests, and orchards in the arid region of Pakistan. Soil samples from the layers of 0–20, 20–40, 40–60, and 60–80 cm depths were collected and analysed for soil physico-chemical properties namely texture, pH, EC, NPK-soil, organic matter (SOM), and soil organic C (SOC). Additionally, the above and below ground plant biomass and C contents were estimated. Results revealed that the highest C sequestration po…

Carbon SequestrationChinaEnvironmental EngineeringSoil test0208 environmental biotechnology02 engineering and technologyForests010501 environmental sciencesManagement Monitoring Policy and LawCarbon sequestration01 natural sciencesSoilPakistanWaste Management and Disposal0105 earth and related environmental sciencesBiomass (ecology)Land useReforestationAgricultureForestryGeneral MedicineSoil carbonAridCarbon020801 environmental engineeringSoil waterEnvironmental scienceJournal of Environmental Management
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Factors Influencing Soil Organic Carbon Stock Variations in Italy During the Last Three Decades

2010

Soils contain about three times the amount of carbon globally available in vegetation, and about twice the amount in the atmosphere. However, soil organic carbon (SOC) has been reduced in many areas, while an increase in atmospheric CO2 has been detected. Recent research works have shown that it is likely that past changes in land use history and land management were the main reasons for the loss of carbon rather than higher temperatures and changes of precipitation resulting from climate change. The primary scope of this work was to estimate soil organic carbon stock (CS) variations in Italy during the last three decades and to relate them to land use changes. The study was also aimed at f…

Carbon sequestrationLand useLand managementSoil scienceLand coverSoil carbonPedogenesisSettore AGR/14 - PedologiaSoil waterFactor of pedogenesiMultiple regressionEnvironmental scienceLand use changeWater contentUSDA soil taxonomy
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Effect of the conversion of mangroves into shrimp farms on carbon stock in the sediment along the southern Red Sea coast, Saudi Arabia

2019

The conservation of coastal ecosystems and specially mangroves ‘‘blue carbon’’ is receiving more attention as consequence of their recognition as high ecosystem carbon stocks and for the fact that these areas are undergoing land conversion. The aim of the present study is to evaluate the impact of land use changes due to conversion of mangroves to shrimp farms on the bulk density (SBD), organic carbon (SOC) concentration, and SOC stock in the sediments along the southern Saudi Arabian Red Sea coast. Shrimp farms and mangrove locations showed significant (P < 0.001) differences in SBD with high mean values in the sediments of shrimp farms. Shrimp farms and mangrove locations showed significa…

Carbon sequestrationSaudi ArabiaAquaculture010501 environmental sciencesCarbon sequestrationRed sea01 natural sciencesBiochemistryShrimp farming03 medical and health sciencesBlue carbonSoil0302 clinical medicineEcosystemLand use land-use change and forestry030212 general & internal medicineIndian OceanLand use changeEcosystem0105 earth and related environmental sciencesGeneral Environmental ScienceTotal organic carbonBlue carbonLand useCoastal wetlandsShrimp aquaculturesCarbonFisheryWetlandsEnvironmental scienceMangrove
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Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-Kehl Cross-Border Area

2017

AcknowledgementsThe research presented in this chapter is part of the Smart. Boundary project supported by the Fonds National de la Recherche in Luxembourg and CNRS in France (ref. INTER/CNRS/12/02). The authors would like also to thank the Grasp Program of LISER for allowing cross-collaboration between the two teams based in Luxembourg and France.; International audience; Urban sprawl and space consumption have become key issues in sustainable territorial development. Traditional planning approaches are often insufficient to anticipate their complex spatial consequences, especially in cross-border areas. Such complexity requires the use of dynamic spatial simulations and the development of…

Cellular automataMarkov chainOperations researchMarkov chainsComputer science0211 other engineering and technologiesUrban sprawl021107 urban & regional planning02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landSpace (commercial competition)Cellular automaton[ SHS.GEO ] Humanities and Social Sciences/GeographyProspective13. Climate actionUrban planning11. Sustainability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingLand use land-use change and forestryLand use scenariosConstraint (mathematics)Spatial analysisCross-border area
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Analyzing Regional Geographic Challenges: The Resilience of Chinese Vineyards to Land Degradation Using a Societal and Biophysical Approach

2021

Land degradation, especially soil erosion, is a societal issue that affects vineyards worldwide, but there are no current investigations that inform specifically about soil erosion rates in Chinese vineyards. In this review, we analyze this problem and the need to avoid irreversible damage to soil and their use from a regional point of view. Information about soil erosion in vineyards has often failed to reach farmers, and we can affirm that to this time, soil erosion in Chinese vineyards has been more of a scientific hypothesis than an agronomic or environmental concern. Two hypotheses can be presented to justify this review: (i) there are no official and scientific investigations on viney…

ChinaVinemedia_common.quotation_subject010501 environmental sciencesHypothesisSocial issues01 natural sciencesVineyardlcsh:AgricultureChinaEnvironmental planningsolutions0105 earth and related environmental sciencesNature and Landscape Conservationmedia_commonhuman issuesGlobal and Planetary ChangeEcologyLand useland degradationlcsh:S04 agricultural and veterinary sciencesGeographyregional geographical approach040103 agronomy & agricultureLand degradation0401 agriculture forestry and fisheriesPsychological resilienceviticultural regionLand
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Effects of climate and land-use change on species abundance in a Central European bird community.

2007

Although it is known that changes in land use and climate have an impact on ecological communities, it is unclear which of these factors is currently most important. We sought to determine the influence of land-use and climate alteration on changes in the abundance of Central European birds. We examined the impact of these factors by contrasting abundance changes of birds of different breeding habitat, latitudinal distribution, and migratory behavior. We examined data from the semiquantitative Breeding Bird Atlas of Lake Constance, which borders Germany, Switzerland, and Austria. Changes in the regional abundance of the 159 coexisting bird species from 1980-1981 to 2000-2002 were influenced…

ClimatePopulationClimate changeBirdsSpecies SpecificityAbundance (ecology)GermanyAnimalsLand use land-use change and forestryeducationRelative species abundanceEcology Evolution Behavior and SystematicsEcosystemPhylogenyNature and Landscape ConservationDemographyPopulation Densityeducation.field_of_studyAnalysis of VarianceEcologyEcologyGlobal warmingGlobal changeGeographyHabitatAustriaAnimal MigrationSwitzerlandConservation biology : the journal of the Society for Conservation Biology
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Klum@Gtap: Introducing Biophysical Aspects of Land-Use Decisions into a General Equilibrium Model: a Coupling Experiment

2006

In this paper the global agricultural land use model KLUM is coupled to an extended version of the computable general equilibrium model (CGE) GTAP in order to consistently assess the integrated impacts of climate change on global cropland allocation and its implication for economic development. The methodology is innovative as it introduces dynamic economic land-use decisions based also on the biophysical aspects of land into a state-of-the-art CGE; it further allows the projection of resulting changes in cropland patterns on a spatially more explicit level. A convergence test and illustrative future simulations underpin the robustness and potentials of the coupled system. Reference simulat…

Computable general equilibriumGeneral equilibrium theoryLand useComputer scienceAgricultural landConvergence (routing)EconometricsClimate changeLand use land-use change and forestryRobustness (economics)SSRN Electronic Journal
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KLUM@GTAP: Introducing Biophysical Aspects of Land-Use Decisions into a Computable General Equilibrium Model a Coupling Experiment

2008

In this paper, the global agricultural land use model Kleines Land Use Model is coupled to an extended version of the computable general equilibrium model (CGE) Global Trade Analysis Project in order to consistently assess the integrated impacts of climate change on global cropland allocation and its implication for economic development. The methodology is innovative as it introduces dynamic economic land-use decisions based also on the biophysical aspects of land into a state-of-the-art CGE; it further allows the projection of resulting changes in cropland patterns on a spatially more explicit level. A convergence test and illustrative future simulations underpin the robustness and potenti…

Computable general equilibriumOperations researchLand useClimate changeEnvironmental Science(all)Agricultural land/dk/atira/pure/sustainabledevelopmentgoals/climate_actioncomputable general equilibrium land use welfare effects climate change impactsSettore SECS-P/03 - Scienza Delle FinanzeConvergence (routing)EconomicsEconometricsSDG 13 - Climate ActionLand use land-use change and forestryRobustness (economics)Projection (set theory)General Environmental Science
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Structured Output SVM for Remote Sensing Image Classification

2011

Traditional kernel classifiers assume independence among the classification outputs. As a consequence, each misclassification receives the same weight in the loss function. Moreover, the kernel function only takes into account the similarity between input values and ignores possible relationships between the classes to be predicted. These assumptions are not consistent for most of real-life problems. In the particular case of remote sensing data, this is not a good assumption either. Segmentation of images acquired by airborne or satellite sensors is a very active field of research in which one tries to classify a pixel into a predefined set of classes of interest (e.g. water, grass, trees,…

Computer scienceMultispectral imageTheoretical Computer ScienceSet (abstract data type)Kernel (linear algebra)One-class classificationRemote sensingSupport vector machinesStructured support vector machinePixelContextual image classificationbusiness.industryKernel methodsPattern recognitionLand use classificationSupport vector machineTree (data structure)Kernel methodHardware and ArchitectureControl and Systems EngineeringModeling and SimulationKernel (statistics)Radial basis function kernelSignal ProcessingStructured output learningArtificial intelligenceTree kernelStructured output learning; Support vector machines; Kernel methods; Land use classificationbusinessInformation SystemsJournal of Signal Processing Systems
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A generic model of reinforcement learning combined with macroscopic cellular automata to simulate land use change

2019

Better understanding the evolution of land cover is a priority concern in the field of land use change study. This evolution can be the result of interactions between major factors. The study of land use change is included in territorial planning to inform planners and policy makers of possible developments they will face. Land use models are useful for reasonable land use management to optimize future land management decisions. In this paper we present an original theoretical model of reinforcement learning combined with macroscopic cellular automata to simulate land use change.

ComputingMilieux_GENERALLand useComputer sciencebusiness.industryEnvironmental resource managementLand managementComplex systemReinforcement learningLand use land-use change and forestryLand coverbusinessField (geography)Cellular automaton2019 4th World Conference on Complex Systems (WCCS)
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