Moving Science Towards Operational Sustainability: The Use of Geospatial Decision Support Systems

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Янв. 12, 2025

The demands on our landscapes increasingly conflict with each other (e.g., the transition to sustainable agriculture versus expansion of urban areas). We must address increasing land degradation problems erosion, loss soil fertility and biodiversity, floods, pollution) imperative move toward use sustainability. Making decisions meet these diverse requirements solve is often highly complex challenging. Similar issues are evident in implementation multiscale policies at global SDGs), European CAP), national climate change adaptation plans EU Member States), regional Nitrates Directive), local planning) levels. There a need bridge knowledge gap between decision-makers, who require operational support implement actions sustainability, research community. development Decision Support Systems (DSS), particularly geoSpatial (S-DSS) including Digital Twin-based tools, offers promising avenue challenges. Over past decade, advancements S-DSS were driven by progress management sciences, databases, modelling, datacube technologies, high-performance computing (HPC), Earth Observation (EO), artificial intelligence (AI), WebGIS facilities, Geospatial Cyberinfrastructure. Together, have significantly enhanced connection resource science practical, management. In this scenario, current LDD special issue collects papers advanced approaches methodologies land-based Spatial (S-DSS), aiming whether can effectively handle complexity challenges mentioned above facilitate use. focus cover following items: (i) diversity approaches, both from methodological end-user perspective, using multidisciplinary multifunctional strategies view Systems, (ii) promote uses various sectors such as agriculture, forestry, planning, revitalization, change, environmental human health. This aims test feasibility facilitating scientific paradigm shift working physical landscape overcoming fragmentation many separate applied common objective planning More specifically, promise integrate geospatial that helps scientists end-users. issue, specific management, aligns well core Land Degradation Development. It advance field exploring domains developing operational, scientifically sound tools empower "management, policy-making relating promotion ecological sustainability counteraction degradation." decision systems incorporate information, making them valuable for addressing Their applications span sectors, protection, planning. These history marked successes failures Geertman Stillwell 2009). To analyze across different 1990s onward, we employed citation-mapping analysis methods Trujillo Long (2018). Figure 1 shows most taken place last it evident—though expected—that there very diverse, unconnected clusters. Besides transport waste clusters "Land Use Policies & Ecosystem Services" "Rural Development." two themes relevant issue. A deeper insight into within "soil science" domain shown 2. be observed majority developments area occurred decade. Notably, four distinct clusters—land policy, sealing, agriculture—that again do not interact other. appear evolved independently, objectives. new generation makes possible link clusters, basis solutions territories mono-disciplinary but rather trans-disciplinary multistakeholder needs. Special Issue assembles 15 broad spectrum topics, weed control all analyzed through perspective S-DSSs. Approximately, 60% refer actual applications, while half preliminary steps, analyzing features DSS or S-DSS. Below, provide detailed contributions. Approximately 45% submitted related Horizon 2020 project named LANDSUPPORT (www.landsupport.eu), funded Commission (Call RUR-03-2017), its connected final international conference. develop web-based, free, open-access GeoSpatial System evaluate land-use trade-offs, contribute policy Europe. developed comprehensive set transdisciplinary based smart CyberInfrastructure (GCI) geographical governance scales, ensuring substantial transferability physical, socio-economic, cultural settings. describe results tools. Terribile et al. (2024) detail central concept multiscale, multistakeholder, S-DSS, demonstrating reconciling environment feasible appropriate Manna showcase an tool used quantify EU, fulfilling SDG 15.3 requirements. Baumann critical database architecture (datacube technology) necessary implementing systems. Bonfante present estimate impact NUTS levels municipalities countries) additional crop adaptability Italy. Mileti produce biodiversity Habitat Directive level (Campania region Italy) Bancheri demonstrate process-based (crop growth) modelling implemented evaluating agricultural best practices real-time site-specific pedoclimatic information. Finally, Stankovics highlight importance stakeholder engagement successful Two multi-criteria aquaculture (Dharani Shrree 2024) prediction Festuca ovina restoration degraded lands (Saffariha 2023). remaining 40% contributions development, Spatiotemporal evolution driving mechanisms slope cultivated (Yu, Li 2024), pressure evaluation lens production-living-ecology framework Chen quantifying integrating green China, Adaptability-Vitality-Resistance (AVR) (Niu variability organic carbon China's terrestrial ecosystems (Li Optimization security patterns (Wei Risk assessment contaminated (Mondaca 2024). Development reveals dynamic evolving (S-DSS). compelling overview latest methodologies, showcasing sophisticated designed key theme emerging collected necessity collaboration. effective requires expertise domains, science, computer social science. collaborative approach ensures only also practical needs stakeholders policymakers. Furthermore, emphasizes accessible wider audience. Several freely available, web-based commitment open access sharing. facilitates broader adoption managers, researchers, policymakers, ultimately promoting more practices. Looking ahead, insights presented underscore potential revolutionize By fostering collaboration end-users, informed decision-making, application, future lands. widespread crucial steps facing world today. wish thanks Dr. M. H. Sellami providing co-citation mapping (Figures 2). Data available upon request authors. S1. Please note: publisher responsible content functionality any supporting information supplied Any queries (other than missing content) should directed corresponding author article.

Язык: Английский

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Strategies for Spatial Data Management in Cloud Environments

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 181 - 204

Опубликована: Янв. 17, 2025

Cloud platforms can enhance spatial data management with specialized services like databases, geocoding, and geospatial analytics. Databases such as Amazon Redshift PostGIS, Microsoft Azure's Cosmos DB, Google Spanner offer efficient storage, retrieval, analysis. Geocoding convert addresses into geographic coordinates, including Google's API, OpenStreetMap Nominatim, Mapbox's API. Geospatial analytics tools from Amazon, Azure, Earth Engine provide actionable insights data. Optimization techniques indexing, partitioning, caching, parallel processing (MapReduce Apache Spark) access processing. Security measures include control, encryption, anonymization to protect sensitive information. Disaster recovery backup strategies ensure resilience business continuity. Utilizing these cloud transform management, unlocking its potential for analysis, visualization, decision-making.

Язык: Английский

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Sustainable logistics development strategy based on SWOT and analytic hierarchy process

PLoS ONE, Год журнала: 2024, Номер 19(10), С. e0312560 - e0312560

Опубликована: Окт. 23, 2024

Due to the implementation of sustainable green development strategy, study uses competitive situation method and analytical hierarchy process logistics enterprises conduct structural analysis weight calculation factor indicators for their strategies. Afterwards, exponential smoothing prediction was used data. Moreover, through comparative indicator evaluation system, average weights advantageous factors were found be 0.0232, 0.1102, 0.0522, 0.0468, respectively. The energy consumption, transportation volume, turnover increased by 68.9% 52.3% in 2022, respectively, which had a significant impact on industry. It has been demonstrated that strategy based enterprise analytic is both feasible superior. Furthermore, this potential enhance environmental benefits economy society.

Язык: Английский

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Data preprocessing techniques for earth resource management

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 37 - 64

Опубликована: Ноя. 15, 2024

Язык: Английский

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