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Sustainable land use and management research: a scientometric review
ContextThe study of sustainable land use reflects the interdisciplinary characteristics of land science, geography, ecology and sustainability science. In recent years, research on sustainable land use has rapidly increased in scope and speed around the world.ObjectivesTo discuss the trends, research power distribution, key areas, research hotspots and international cooperation in sustainable land use research in the past 20 years.MethodsThis paper used the Bibliometrix and Biblioshiny software packages to entire process of bibliometric analysis and visual display of sustainable land use research papers from 1990 to 2019 (data update time is May 10, 2019).Results(1) The amount of publications in the field of sustainable land use from 1990 to 2019 increased with time and entered a period of rapid growth after 2013. (2) From the perspective of research power, the influence of developed countries in the field of sustainable land use is significantly stronger than that of developing countries. (3) Through high-frequency keyword analysis, land use change, land degradation, and sustainable land management are hotspots in the field of sustainable land use. (4) The themes of sustainable land use have changed greatly in various periods, and some of the themes have strong continuity.ConclusionsIn order to promote the development of sustainable land use, this paper proposes to integrate strong sustainability theory, landscape ecology theory, and geographical design concepts into this field, thereby greatly expanding the theoretical space. Also, this paper proposes to improve the scientificity of the evaluation indicators and use emerging technologies to timely monitor the status and evolution of land use, which can provide scientific basis and decision-making reference for the formulation of sustainable land use strategies, policies, and countermeasures.
Journal Article
Suprarural : architectural atlas of rural protocols of the American Midwest and the Argentine Pampas
The Atlas of rural protocols in the American Midwest and the Argentine Pampas is structured along eight systems of organization: transport and infrastructure, land subdivision, agricultural production, water management, storage and maintenance, human habitation, animal management, land management. Each of these systems possesses a number of organizational types, material components, normative relationships, and spectra of performance, which become available through a manual of instructions for a Suprarural architectural environment. The research is based on a realistic-overriding ethics towards design that operates by abstracting and intensifying unexplored territorial phenomena.
Book
Detecting, Analyzing, and Predicting Land Use/Land Cover (LULC) Changes in Arid Regions Using Landsat Images, CA-Markov Hybrid Model, and GIS Techniques
Understanding the change dynamics of land use and land cover (LULC) is critical for efficient ecological management modification and sustainable land-use planning. This work aimed to identify, simulate, and predict historical and future LULC changes in the Sohag Governorate, Egypt, as an arid region. In the present study, the detection of historical LULC change dynamics for time series 1984–2002, 2002–2013, and 2013–2022 was performed, as well as CA-Markov hybrid model was employed to project the future LULC trends for 2030, 2040, and 2050. Four Landsat images acquired by different sensors were used as spatial–temporal data sources for the study region, including TM for 1984, ETM+ for 2002, and OLI for 2013 and 2022. Furthermore, a supervised classification technique was implemented in the image classification process. All remote sensing data was processed and modeled using IDRISI 7.02 software. Four main LULC categories were recognized in the study region: urban areas, cultivated lands, desert lands, and water bodies. The precision of LULC categorization analysis was high, with Kappa coefficients above 0.7 and overall accuracy above 87.5% for all classifications. The results obtained from estimating LULC change in the period from 1984 to 2022 indicated that built-up areas expanded to cover 12.5% of the study area in 2022 instead of 5.5% in 1984. This urban sprawl occurred at the cost of reducing old farmlands in old towns and villages and building new settlements on bare lands. Furthermore, cultivated lands increased from 45.5% of the total area in 1984 to 60.7% in 2022 due to ongoing soil reclamation projects in desert areas outside the Nile Valley. Moreover, between 1984 and 2022, desert lands lost around half of their area, while water bodies gained a very slight increase. According to the simulation and projection of the future LULC trends for 2030, 2040, and 2050, similar trends to historical LULC changes were detected. These trends are represented by decreasing desert lands and increasing urban and cultivated newly reclaimed areas. Concerning CA-Markov model validation, Kappa indices ranged across actual and simulated maps from 0.84 to 0.93, suggesting that this model was reasonably excellent at projecting future LULC trends. Therefore, using the CA-Markov hybrid model as a prediction and modeling approach for future LULC trends provides a good vision for monitoring and reducing the negative impacts of LULC changes, supporting land use policy-makers, and developing land management.
Journal Article
Land-use intensity alters networks between biodiversity, ecosystem functions, and services
Land-use intensification can increase provisioning ecosystem services, such as food and timber production, but it also drives changes in ecosystem functioning and biodiversity loss, which may ultimately compromise human wellbeing. To understand how changes in land-use intensity affect the relationships between biodiversity, ecosystem functions, and services, we built networks from correlations between the species richness of 16 trophic groups, 10 ecosystem functions, and 15 ecosystem services. We evaluated how the properties of these networks varied across land-use intensity gradients for 150 forests and 150 grasslands. Land-use intensity significantly affected network structure in both habitats. Changes in connectance were larger in forests, while changes in modularity and evenness were more evident in grasslands. Our results show that increasing land-use intensity leads to more homogeneous networks with less integration within modules in both habitats, driven by the belowground compartment in grasslands, while forest responses to land management were more complex. Land-use intensity strongly altered hub identity and module composition in both habitats, showing that the positive correlations of provisioning services with biodiversity and ecosystem functions found at low land-use intensity levels, decline at higher intensity levels. Our approach provides a comprehensive view of the relationships between multiple components of biodiversity, ecosystem functions, and ecosystem services and how they respond to land use. This can be used to identify overall changes in the ecosystem, to derive mechanistic hypotheses, and it can be readily applied to further global change drivers.
Journal Article
Two oxen ahead : pre-mechanized farming in the Mediterranean
\"This revealing study shows how careful analysis of recent farming practices, and related cultural traditions, in communities around the Mediterranean can enhance our understanding of prehistoric and Greco-Roman societies. Includes a wealth of original interview material and data from field observation Provides original approaches to understanding past farming practices and their social contexts Offers a revealing comparative perspective on Mediterranean societies' agronomy Identifies a number of previously unrecorded climate-related contrasts in farming practices, which have important socio-economic significance Explores annual tasks, such as tillage and harvest; inter-annual land management techniques, such as rotation; and intergenerational issues, including capital accumulation \"-- Provided by publisher.
Book
Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques
This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is crucial for mitigating adverse environmental impacts and promoting sustainable development. The main goal is to evaluate historical LULC changes from 1994 to 2024 and forecast future trends for 2034 and 2044 utilizing the CA-Markov hybrid model combined with GIS methodologies. Landsat images from various sensors (TM, OLI) were employed for supervised classification, attaining high accuracy (> 90%). Historical LULC changes from 1994 to 2024 were analyzed, revealing significant transformations in Lahore. The build-up area expanded by 359.8 km², indicating rapid urbanization, while vegetation cover decreased by 198.7 km² and barren lands by 158.5 km². Water bodies remained relatively stable during this period. Future LULC trends were projected for 2034 and 2044 using the CA-Markov hybrid model (CA-MHM), which achieved a high prediction accuracy with a kappa coefficient of 0.92. The research indicated significant urban growth at the expense of vegetation and barren land. Future forecasts suggest ongoing urbanization, underscoring the necessity for sustainable land management techniques. This research is a significant framework for urban planners, providing insights that combine development with ecological conservation. The results highlight the necessity of incorporating predictive models into urban policy to promote sustainable development and environmental preservation in quickly changing areas such as Lahore.
Journal Article
Land Use/Land Cover Changes and Their Driving Factors in the Northeastern Tibetan Plateau Based on Geographical Detectors and Google Earth Engine: A Case Study in Gannan Prefecture
As an important production base for livestock and a unique ecological zone in China, the northeast Tibetan Plateau has experienced dramatic land use/land cover (LULC) changes with increasing human activities and continuous climate change. However, extensive cloud cover limits the ability of optical remote sensing satellites to monitor accurately LULC changes in this area. To overcome this problem in LULC mapping in the Ganan Prefecture, 2000–2018, we used the dense time stacking of multi-temporal Landsat images and random forest algorithm based on the Google Earth Engine (GEE) platform. The dynamic trends of LULC changes were analyzed, and geographical detectors quantitatively evaluated the key driving factors of these changes. The results showed that (1) the overall classification accuracy varied between 89.14% and 91.41%, and the kappa values were greater than 86.55%, indicating that the classification results were reliably accurate. (2) The major LULC types in the study area were grassland and forest, and their area accounted for 50% and 25%, respectively. During the study period, the grassland area decreased, while the area of forest land and construction land increased to varying degrees. The land-use intensity presents multi-level intensity, and it was higher in the northeast than that in the southwest. (3) Elevation and population density were the major driving factors of LULC changes, and economic development has also significantly affected LULC. These findings revealed the main factors driving LULC changes in Gannan Prefecture and provided a reference for assisting in the development of sustainable land management and ecological protection policy decisions.
Journal Article