scholarly journals Understanding Land Changes for Sustainable Environmental Management: The Case of Basilicata Region (Southern Italy)

Pollutants ◽  
2021 ◽  
Vol 1 (4) ◽  
pp. 217-233
Author(s):  
Giuseppe Cillis ◽  
Biagio Tucci ◽  
Valentina Santarsiero ◽  
Gabriele Nolè ◽  
Antonio Lanorte

Sustainable land management is one of the key actions for the achievement of objectives set by the 2030 Agenda for Sustainable Development. In particular, land represents a fundamental resource to address issues of climate change, biodiversity preservation, maintaining ecosystem services, and at the same time ensuring shared prosperity and well-being. Therefore, it is necessary to activate strategies to monitor changes in land use and land cover in order to evaluate strategies for proper management. To do this, the new open source geospatial analysis tools and the increasing availability of remote sensed open data can allow the activation of methodologies for monitoring changes in land use and land cover in order to provide data usable in other research areas or, for example, to implement a decision support system for environmental sustainability. In this study, a GIS approach based on open remote sensing data has been used to perform a spatial analysis of land cover changes within the Basilicata region (Southern Italy) that is spatially expeditious yet accurate. The results showed a very evident land transformation with important repercussions on the environmental components. The ease of use of techniques makes this methodology replicable in other territory and can be used as a preliminary approach to sustainable development model.

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 443
Author(s):  
Evidence Chinedu Enoguanbhor ◽  
Florian Gollnow ◽  
Blake Byron Walker ◽  
Jonas Ostergaard Nielsen ◽  
Tobia Lakes

Land use planning as strategic instruments to guide urban dynamics faces particular challenges in the Global South, including Sub-Saharan Africa, where urgent interventions are required to improve urban and environmental sustainability. This study investigated and identified key challenges of land use planning and its environmental assessments to improve the urban and environmental sustainability of city-regions. In doing so, we combined expert interviews and questionnaires with spatial analyses of urban and regional land use plans, as well as current and future urban land cover maps derived from Geographic Information Systems and remote sensing. By overlaying and contrasting land use plans and land cover maps, we investigated spatial inconsistencies between urban and regional plans and the associated urban land dynamics and used expert surveys to identify the causes of such inconsistencies. We furthermore identified and interrogated key challenges facing land use planning, including its environmental assessment procedures, and explored means for overcoming these barriers to rapid, yet environmentally sound urban growth. The results illuminated multiple inconsistencies (e.g., spatial conflicts) between urban and regional plans, most prominently stemming from conflicts in administrative boundaries and a lack of interdepartmental coordination. Key findings identified a lack of Strategic Environmental Assessment and inadequate implementation of land use plans caused by e.g., insufficient funding, lack of political will, political interference, corruption as challenges facing land use planning strategies for urban and environmental sustainability. The baseline information provided in this study is crucial to improve strategic planning and urban/environmental sustainability of city-regions in Sub-Saharan Africa and across the Global South, where land use planning faces similar challenges to address haphazard urban expansion patterns.


Author(s):  
Jiren Xu ◽  
Fabrice G. Renaud ◽  
Brian Barrett

AbstractA more holistic understanding of land use and land cover (LULC) will help minimise trade-offs and maximise synergies, and lead to improved future land use management strategies for the attainment of Sustainable Development Goals (SDGs). However, current assessments of future LULC changes rarely focus on the multiple demands for goods and services, which are related to the synergies and trade-offs between SDGs and their targets. In this study, the land system (combinations of land cover and land use intensity) evolution trajectories of the Luanhe River Basin (LRB), China, and major challenges that the LRB may face in 2030, were explored by applying the CLUMondo and InVEST models. The results indicate that the LRB is likely to experience agricultural intensification and urban growth under all four scenarios that were explored. The cropland intensity and the urban growth rate were much higher under the historical trend (Trend) scenario compared to those with more planning interventions (Expansion, Sustainability, and Conservation scenarios). Unless the forest area and biodiversity conservation targets are implemented (Conservation scenario), the forest areas are projected to decrease by 2030. The results indicate that water scarcity in the LRB is likely to increase under all scenarios, and the carbon storage will increase under the Conservation scenario but decrease under all other scenarios by 2030. Our methodological framework and findings can guide regional sustainable development in the LRB and other large river basins in China, and will be valuable for policy and planning purposes to the pursuance of SDGs at the sub-national scale.


2019 ◽  
Vol 11 (15) ◽  
pp. 4145 ◽  
Author(s):  
Nicodemo Abate ◽  
Rosa Lasaponara

Sentinel-2 data have been used in various fields of human activity. In cultural heritage, their potential is still to be fully explored. This paper aims to illustrate how remote sensing and open source tools are useful for archaeological investigations. The whole issue revolves around the application of satellite (Sentinel-2) and accessory tools for the identification, knowledge and protection of the cultural heritage of two areas of southern Italy: Sant’Arsenio (SA) and Foggia (FG). Both study cases were selected for a specific reason: to demonstrate the usefulness of open data and software for research and preservation of cultural heritage, as in the case of urban sprawl, development of public works (gas- and oil-pipelines, etc.) or intensive use of land for agricultural purposes. The results obtained are relevant for the knowledge improvement and very useful to operate in the field of preventive archaeology, for the evaluation and management of risk, the planning of city-expansion or infrastructures that could damage the buried heritage.


Proceedings ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 8 ◽  
Author(s):  
Veidemane

The sustainable development goals (SDGs) for 2030 are established to address global challenges including environment and human well-being. The SDGs are interconnected and achievement of them requires consideration of the planet’s ecosystems and resources - land, water and air. Ecosystem services (ES) approach has a high potential for better planning, policy and decision making. Understanding how different ecosystems (e.g., forests, rivers, wetlands, grasslands) contribute to the social and economic benefits is critical to ensure the long-term biodiversity protection and sustainable use of ecosystems. A conceptual framework linking biodiversity and ecosystem condition (its structure and functions), and ES to human well-being has been well-established in EU by so called MAES process (Mapping and Assessment of Ecosystem Services) lead by the European Commission. The framework is applied in recent research studies and projects, as well as national MAES processes. Various methods are applied for MAES in terms to determine biophysical, economic and social values and to deliver integrated ecosystem assessment. Assessment of ES and trade off analysis shall provide a new perspective for land use planning and decision making at different administrative and spatial levels and in different sectoral policies. EU and national policies for instance on agriculture, fishery, forestry, climate should account the benefits provided by relevant ecosystems and to ensure that the values are not diminished but rather enhanced during the implementation of the policies. Terrestrial and water ecosystems are interconnected as land-based human activities creates pressure that impacts the conditions in water ecosystems and thus delivery of ES by rivers and lakes. For example, intensive agricultural land use produces food for people and income; however, the activity also most frequently causes problems with water quality and quantity in the catchment area and a loss of biodiversity. A risk of such trade-off shall be handled in policy development. Ecosystems also contributes to the resilience of communities by reducing the risk of natural hazards and mitigate adverse impacts. Regulating services such as flood control are substituting investments in flood protection ensured by forests, wetlands and grasslands instead of human built infrastructure. Appropriate land cover and land use shall serve as a basic flood protection measure. Natural processes are increasingly recognised to create new-type solutions that use and deploy the properties of natural ecosystems and their services in an “engineered” way. A wide range of measures called also as nature-based solutions provide another opportunity to work with nature towards global sustainability.


2020 ◽  
Vol 12 (3) ◽  
pp. 997 ◽  
Author(s):  
Richard Shaker ◽  
Joseph Aversa ◽  
Victoria Papp ◽  
Bryant Serre ◽  
Brian Mackay

Cities are the keystone landscape features for achieving sustainability locally, regionally, and globally. With the increasing impacts of urban expansion eminent, policymakers have encouraged researchers to advance or invent methods for managing coupled human–environmental systems associated with local and regional sustainable development planning. Although progress has been made, there remains no universal instrument for attaining sustainability on neither regional nor local planning scales. Previous sustainable urbanization studies have revealed that landscape configuration metrics can supplement other measures of urban well-being, yet few have been included in public data dashboards or contrasted against local well-being indicators. To advance this sector of sustainable development planning, this study had three main intentions: (1) to produce a foundational suite of landscape ecology metrics from the 2007 land cover dataset for the City of Toronto; (2) to visualize and interpret spatial patterns of neighborhood streetscape patch cohesion index (COHESION), Shannon’s diversity index (SHDI), and four Wellbeing Toronto indicators across the 140 Toronto neighborhoods; (3) to quantitatively assess the global collinearity and local explanatory power of the well-being and landscape measures showcased in this study. One-hundred-and-thirty landscape ecology metrics were computed: 18 class configuration metrics across seven land cover categories and four landscape diversity metrics. Anselin Moran’s I-test was used to illustrate significant spatial patterns of well-being and landscape indicators; Pearson’s correlation and conditional autoregressive (CAR) statistics were used to evaluate relationships between them. Spatial “hot-spots” and/or “cold-spots” were found in all streetscape variables. Among other interesting results, Walk Score® was negatively related to both tree canopy and grass/shrub connectedness, signifying its lack of consideration for the quality of ecosystem services and environmental public health—and subsequently happiness—during its proximity assessment of socioeconomic amenities. In sum, landscape ecology metrics can provide cost-effective ecological integrity addendum to existing and future urban resilience, sustainable development, and well-being monitoring programs.


2020 ◽  
Vol 12 (18) ◽  
pp. 7239
Author(s):  
Pedro Mauricio Acosta Castellanos ◽  
Araceli Queiruga-Dios ◽  
Ascensión Hernández Encinas ◽  
Libia Cristina Acosta

Environmental education (EE) has become the only tool for environmental sustainability in training processes in Colombia, for basic cycles in primary and secondary, as well as university education. EE tends to transform human actions in nature, based on multidisciplinary knowledge that supports decision-making. Its goal is to generate a change in social behavior in order to achieve the recovery, conservation, and preservation of the environment. In Colombia, education for sustainable development (ESD) is embedded in EE. These educational models (EE and ESD) seek to achieve sustainable development goals (SDGs), which generally seek the economic and social well-being of nations, both for current and future generations. Environmental engineering is a relatively new degree course in Colombia and Latin America since it appeared in the mid-nineties, and it must involve EE within its curriculum. Students are trained in this trend. This research intends to demonstrate, through a curricular review of the environmental engineering curricula and also surveying students from this degree, the level of inclusion of EE in Latin America. Strengths are identified in the curricula, such as the strong presence of EE in disciplinary subjects and opportunities for improvement based on the needs of the students. The situation in South America is also included in this study.


2020 ◽  
Vol 12 (4) ◽  
pp. 1570 ◽  
Author(s):  
Mads Christensen ◽  
Jamal Jokar Arsanjani

The United Nations 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDG’s) presents a roadmap and a concerted platform of action towards achieving sustainable and inclusive development, leaving no one behind, while preventing environmental degradation and loss of natural resources. However, population growth, increased urbanisation, deforestation, and rapid economic development has decidedly modified the surface of the earth, resulting in dramatic land cover changes, which continue to cause significant degradation of environmental attributes. In order to reshape policies and management frameworks conforming to the objectives of the SDG’s, it is paramount to understand the driving mechanisms of land use changes and determine future patterns of change. This study aims to assess and quantify future land cover changes in Virunga National Park in the Democratic Republic of the Congo by simulating a future landscape for the SDG target year of 2030 in order to provide evidence to support data-driven decision-making processes conforming to the requirements of the SDG’s. The study follows six sequential steps: (a) creation of three land cover maps from 2010, 2015 and 2019 derived from satellite images; (b) land change analysis by cross-tabulation of land cover maps; (c) submodel creation and identification of explanatory variables and dataset creation for each variable; (d) calculation of transition potentials of major transitions within the case study area using machine learning algorithms; (e) change quantification and prediction using Markov chain analysis; and (f) prediction of a 2030 land cover. The model was successfully able to simulate future land cover and land use changes and the dynamics conclude that agricultural expansion and urban development is expected to significantly reduce Virunga’s forest and open land areas in the next 11 years. Accessibility in terms of landscape topography and proximity to existing human activities are concluded to be primary drivers of these changes. Drawing on these conclusions, the discussion provides recommendations and reflections on how the predicted future land cover changes can be used to support and underpin policy frameworks towards achieving the SDG’s and the 2030 Agenda for Sustainable Development.


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