The Sustainable Development Goals (SDGs) recognise the importance of action across all scales to achieve a sustainable future. To contribute to overall national- and global-scale SDG achievement, local communities need to focus on a locally-relevant subset of goals and understand potential future pathways for key drivers which influence local sustainability. We developed a participatory method to co-create local socioeconomic pathways by downscaling the SDGs and driving forces of the shared socioeconomic pathways (SSPs) via a local case study in southern Australia through contextual analysis and community engagement. We linked the SSPs and SDGs by identifying driving forces and describing how they affect the achievement of local SDGs. We co-created six local socioeconomic pathways with the local community which track towards futures with different levels of fulfilment of the SDGs and each encompasses a narrative storyline incorporating locally-specific ideas from the community. We tested and validated the local pathways with the community. This method extends the SSPs in two dimensions-into the broader field of sustainability via the SDGs, and by recontextualizing them at the local scale. The local socioeconomic pathways can contribute to achieving local sustainability goals from the bottom up in alignment with global initiatives.
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http://dx.doi.org/10.1007/s11625-021-00921-2 | DOI Listing |
PNAS Nexus
January 2025
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China.
Accelerated global urban expansion not only directly occupies surrounding ecosystems, but also induces cascading losses of natural vegetation elsewhere through cropland displacement. Yet, how such effects alter the net primary productivity (NPP) worldwide remains unclear. Here, we quantified the direct and cascading impacts of global urban expansion on terrestrial NPP from 1992 to 2020 and projected the impacts under the shared socioeconomic pathways framework by 2100.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India. Electronic address:
This study investigates the potential impact of future climate scenarios designated by different shared socioeconomic pathways (SSPs) on vegetation health. Considering the entire Indian mainland as the study region, which exhibits a diverse range of climate and vegetation regimes, we analysed long-term past (1981-2020) and future (2021-2100) changes in vegetation greenness across seven vegetation types and four seasons. In order to gain insight into the intricate interrelationships between vegetation and hydroclimatic factors (soil moisture, precipitation, solar radiation, and temperature), a Standardized Vegetation Index (SVI) is used as a proxy for vegetation health, and a bivariate copula-based probabilistic model is developed incorporating a Combined Climate Index (CCI) derived through Supervised Principal Component Analysis (SPCA) and the SVI.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA. Electronic address:
High concentrations of nitrate in groundwater pose risks to human and environmental health. This study evaluates the potential impact of climate change, land use, and fertilizer application rates on groundwater nitrate levels in the High Plains Aquifer under four Shared Socioeconomic Pathway (SSP) scenarios. A random forest model, with predictors such as fertilizer application rates, cropland coverage, and climate variables from six Coupled Model Intercomparison Project models, is used to project future nitrate concentrations.
View Article and Find Full Text PDFJ Child Psychol Psychiatry
January 2025
Department of Applied Psychology and Human Development, University of Toronto, Toronto, Ontario, Canada.
Background: This longitudinal study with multi-informant (maternal, paternal, and experimenter) and multimethod (questionnaires, behavioral observations, and standardized assessments) data tests an intergenerational model from mothers' adverse childhood experiences (ACEs) to their children's socio-emotional and cognitive outcomes.
Methods: Participants were 501 children (50.7% male) and caregivers (56.
J Thorac Oncol
January 2025
Ludwig-Maximilian-University of Munich, Thoracic Oncology Centre Munich, German Centre for Lung Research, Munich, Germany.
Introduction: Lung cancer screening (LCS) using low-dose-computed tomography reduces lung cancer mortality in high-risk individuals. Evaluating and monitoring LCS programs are important to ensure and improve quality, efficiency and participant outcomes. There is no agreement on LCS quality indicators (QIs).
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