Mapeamento geomorfológico em unidades de conservação: experiência no nordeste brasileiro

Landslide susceptibility maps are key tools for land use planning, management and risk mitigation. The Landslide susceptibility map of Italy, scale 1:1,000,000 is being realized by using the Italian Landslide Inventory – Progetto IFFI and a set of contributing factors, such as surface parameters derived from 20 to20 m DEM, lithological map obtained from the geological map of Italy 1:500,000, and land use map (Corine Land Cover 2000). These databases have been subjected to a quality analysis with the aim of assessing the completeness, homogeneity and reliability of data, and identifying representative areas which may be used as training and test areas for the implementation of landslide susceptibility models. In order to implement the models, physiographic domains of homogeneous geology and geomorphology have been identified, and landslides have been divided into three main classes in order to take into account specific sets of conditioning factors: (a) rockfalls and rock-avalanches; (b) slow mass movements, (c) debris flows. The modelling tests performed with different techniques (Discriminant Anaysis, Logistic Regression, Bayesian Tree Random Forest) provided good results, once applied with the appropriate selection of training and validations sets and with a significant number of statistical units.

Goal. Retrospective analysis of the directions of institutionalization and development of land management science in Ukraine during the 60 years of functioning in Ukraine of specialized research and design and survey institutions, as well as the determination of promising directions of development of modern land management science. Methods. The dialectical method of knowledge — to study the state and development of modern land management science; monographic method — to elaborate scientific works and scientific and technical publications, normative legal framework, statistical information; abstract-logical — to theoretically generalize and formulate conclusions. Results. The main historical preconditions of institutionalization of land management in Ukraine are investigated. The most important scientific works, as well as work with land management, rational use, and protection of land, are executed by the land management institute from the moment of its foundation to modernity. The priority tasks of land management science at different stages of development, as well as the task of the medium-term perspective, are considered. Conclusions. Institutionalization of land management science thanks to the creation of a specialized research and design and survey institution over the past 60 years made it possible to form a reliable foundation for the development of the Ukrainian land management scholarship, the study of objective laws of nature and society in the use of land resources, solving the scientific basis of socio-economic and environmental land-use problems, including global challenges. The priority tasks of scientific support become a digital transformation of land management, the development of progressive tools for land use planning, as well as protection of land in conditions of market land relations.

Transfer of development rights for the effectiveness of the conservation plans: A case from Historic Kemeraltı, Izmir

Combining deliberative and computer-based methods for multi-objective land-use planning

Although public participation (PP) has influenced some integrated coastal zone management (ICZM) programs around the world, researchers have rarely analyzed this component specifically inside an ICZM cycle. Furthermore, the approach for integrating environmental energy planning tools within the ICZM Programs for the Small Island Developing States (SIDS) has presented an ongoing challenge for specialists involved in management issues. In Cuba, plans for coastal development are supported by land use planning activities and environmental planning tools. However, the functions and outputs of those tools are “non-obvious”, precluding sufficient integration among them. As these aforementioned actions have not been systematically carried out in the Cuban territory, and the systems of inter-institutional relationships with local communities have presented some insufficiencies, the national marine-terrestrial interphase has suffered some negative environmental impacts impossible to be solved by the national authorities. Designing a new methodology that incorporates PP and environmental energy planning tools in the stages of an ICZM program is the objective of this article. The methodology was named MePuPa and has improved current tools for land use planning and ICZM in Cuba. Previously selected “Local Indicators of Environmental Sustainability”, applied in two geo-systemic units in the southeastern region of Cuba, were used to demonstrate the methodology. The qualitative and qualitative methods in the proposed MePuPa were also applied. Finally, the MePuPa methodology was tested for four of its five stages. Six advantages and five learned lessons were identified during the Preparation to Proposal stages. MePuPa resulted in a useful local management tool for environmental energy planning, ICZM, economic and agricultural activities, strategic ecosystems recovery, as well as improvements to the governance and decision-making processes in one SIDS.

Agricultural land use change is the result of interactions between different driving factors and processes at different scales. Most of models have been proposed for the land use change simulations only consider the suitability of lands and spatial competition between different land uses at microscales. But agricultural land use projection involves assessment of macro‐level socioeconomic variables and driving forces. This paper suggests a dynamic modeling approach that integrates demand‐driven changes in agricultural land area at macro‐level with spatially explicit distribution processes at regional‐scale. This approach is based on combination of two core models with dynamic top‐down and bottom‐up feedback loops between them, dynamic simulation model, and land use change (LUC) model. Without the spatial considerations, the dynamic model is used to project the agricultural land demands influenced by economic, demographic, technologic, and regulatory variables and their interactions at country‐level. In addition, LUC model is used to simulate the downscaling of these demands between country regions based on spatial consideration of land suitability, change elasticity, spatial policies and restrictions, and competitive advantage of agriculture. Sensitivity analysis and empirical validation indicated the reliability and capability of the model for addressing the complexity of current agricultural land use changes and for investigating long‐term scenarios in the future. Finally, the model is used to explore the future dynamics of Iran agricultural land use during 2015–2040 with eight‐year pace. The simulation results for Iran show that the water availability is the most determining factor in the distribution of agricultural lands in a way that a continuing downward trend in agriculture land areas will occur in east and northeast, as well as an upward trend in north and southwest regions of the country. The outcome of this study enhances our capacity to consider approaches from different disciplines in an integrated framework for LUC modeling and provide a decision support tool for land use planning, policy making, and managements of agricultural sector.

Pasture degradation is one of the major environmental and economic problems of Brazilian livestock production. Based on the estimates of soil loss in 140,297 km2 pasturelands of Goiás State and the Federal District, the effects of land use and management and conservation practices on soil erosion by water were evaluated. Soil loss was estimated with the empirical revised universal soil loss equation model under four scenarios of land use and management of pastures and the implementation of terraces. The effects of converting hilly areas into permanently preserved areas were also evaluated. Well‐managed pastures planted in terraces and highly sloped areas with native vegetation featured a reduction of 709% in the rate of soil erosion by water in comparison with poorly managed pastures without soil conservation practices. The environmental consequences of pasture degradation become particularly important when they are associated with land use in the Amazon and Cerrado biomes because farmers in these regions are forced to open new natural areas. In addition, the high indices of bare soil in degraded pastures contribute significantly to sediment deposition in rivers and dams. The modeling of soil loss is demonstrated to be an important tool for land use planning and supporting public policies focused on the sustainable use of natural resources. The results of these simulations demonstrate the importance of actions to recover degraded pastures, such as the Federal Government's program known as ABC (Low Carbon Agriculture). Copyright © 2015 John Wiley & Sons, Ltd.

Land-use planning is the systematic assessment of land and water potential, alternatives for land-use, and economic and social conditions in order to select and adapt the best land-use options. The aim of this study is to examine how geospatial information is the bedrock for land use planning and management with a focus on estate housing development. The project site is located at Eleko, Lagos State, Nigeria. The three (3) survey controls used for the connection of the project are ZTT 37/17, ZTT 37/18 and ZTT 37/19. Digital Survey instruments (Leica TCR 307, Level) were used for the acquisition of geospatial data of the site. Tacheometric survey method for spot heighting and ray method for detailing of features within and around the site. Grid levelling was carried out at 10 m intervals with staking at 10 m. The results obtained show that the total perimeter of the traverse is 839.805 m; total area of the site is 3.132 Hectares; and the linear accuracy of the traverse is 1/15,000. Grid levelling was carried out at 10 m intervals with staking at 10 m. This provides the elevation for each point which was used to provide contours for the terrain; and finally the production of topographic map and Digital Terrain Model (DTM) of the site which are used as tools for land use planning and its management. Therefore, it can be concluded that geospatial information such as topographic map and DTM are the bedrock for land use planning and management.

Environmental Quality ManagementVolume 16, Issue 1 p. 59-68 Features Using geographic information to identify environmental resources: A tool for land use planning A. Gharagozlou, A. Gharagozlou agharagozlu@yahoo.com Research Institute of the National Cartographic Center, IranSearch for more papers by this authorM. Abbaspour, M. Abbaspour m-abbaspour@jamejam.net Azad University, Tehran, IranSearch for more papers by this author A. Gharagozlou, A. Gharagozlou agharagozlu@yahoo.com Research Institute of the National Cartographic Center, IranSearch for more papers by this authorM. Abbaspour, M. Abbaspour m-abbaspour@jamejam.net Azad University, Tehran, IranSearch for more papers by this author First published: 21 September 2006 https://doi.org/10.1002/tqem.20111AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume16, Issue1Autumn (Fall) 2006Pages 59-68 RelatedInformation

The various multidisciplinary projects presented in this thesis, in hindsight, all contributed to a new approach to land use planning. Hence, their results are placed in a holistic perspective via this approach. Part A presents a method for characterizing land use on the basis of transect surveys (Côte d'Ivoire; Chapter 2). In Chapter 3, an interactive multiple goal linear programming model is described as a method to quantify natural and human resources, and to analyse the relations between various crop and animal husbandry systems. In Part B, nutrient relations are examined with the aim of arriving at fertilizer recommendations for cereals through field experimentation (Senegal; Chapter 4), and literature review and simulation modelling (Chapter 5). Additionally, the effects of grazing on subshrubs in Egypt are examined by field experiments and simulation to quantify the availability of this feed resource (Chapter 6). Part C shows possible land use options, on the basis of a simulation model for managing integrated small ruminant - barley - subshrub systems (Egypt; Chapter 7), and a multiple goal linear programming model to examine the importance of fertilizer availability for self-sufficiency in food (Mali; Chapter 8). A synthesis (Chapter 9) presents 'Land Use Systems Analysis' after evaluating the current methods of land use planning. The importance of goals, scales, tools, and the time-path for attaining goals are discussed, and recommendations are made for the future application of land use systems analysis.

Abstract. Excessive sediment discharge in karstic regions can be highly disruptive to water treatment plants. It is essential for catchment stakeholders and drinking water suppliers to limit the impact of high sediment loads on potable water supply, but their strategic choices must be based on simulations integrating surface and groundwater transfers and taking into account possible changes in land use. Karstic environments are particularly challenging as they face a lack of accurate physical descriptions for the modelling process, and they can be particularly complex to predict due to the non-linearity of the processes generating sediment discharge. The aim of the study was to assess the sediment discharge variability at a water treatment plant according to multiple realistic land use scenarios. To reach that goal, we developed a new cascade modelling approach with an erosion-runoff geographic information system (GIS) model (WaterSed) and a deep neural network. The model was used in the Radicatel hydrogeological catchment (106 km2 in Normandy, France), where karstic spring water is extracted to a water treatment plant. The sediment discharge was simulated for five design storms under current land use and compared to four land use scenarios (baseline, ploughing up of grassland, eco-engineering, best farming practices, and coupling of eco-engineering/best farming practices). Daily rainfall time series and WaterSed modelling outputs extracted at connected sinkholes (positive dye tracing) were used as input data for the deep neural network model. The model structure was found by a classical trial-and-error procedure, and the model was trained on 2 significant hydrologic years. Evaluation on a test set showed a good performance of the model (NSE = 0.82), and the application of a monthly backward-chaining nested cross-validation revealed that the model is able to generalize on new datasets. Simulations made for the four land use scenarios suggested that ploughing up 33 % of grasslands would increase sediment discharge at the water treatment plant by 5 % on average. By contrast, eco-engineering and best farming practices will significantly reduce sediment discharge at the water treatment plant (respectively in the ranges of 10 %–44 % and 24 %–61 %). The coupling of these two strategies is the most efficient since it affects the hydro-sedimentary production and transfer processes (decreasing sediment discharge from 40 % to 80 %). The cascade modelling approach developed in this study offers interesting opportunities for sediment discharge prediction at karstic springs or water treatment plants under multiple land use scenarios. It also provides robust decision-making tools for land use planning and drinking water suppliers.

Integrated Land Evaluation as an Aid to Land Use Planning in Northern Australia

The impact of land use- and climate change on the managed eco-geomorphic balance in the Alps

Remote sensing and GIS-based regional geomorphological mapping—a tool for land use planning in developing countries

Environmental fragility analysis in reservoir drainage basin land use planning: A Brazilian basin case study