Exploring human-nature interaction on the coastal floodplain in the Ganges-Brahmaputra delta through the lens of Ostrom’s social-ecological systems framework

This study diagnoses temporal and spatial variations in the performance of different social-ecological systems (SES) in coastal floodplain management in the Ganges-Brahmaputra delta. We go beyond common pool resource management problems and address the management of local public goods. In the assessment, we consider recent developments in the framework initially developed by Elinor Ostrom. The main variables of the framework that we use are resource systems, the environment, the governance system and actors. The focal SES is defined based on guiding questions relating to the definition of the key problem, system boundaries, and action situations. According to our results, the performance of resource systems and the environment deteriorated in 1960–79 compared to the performance prior to 1960. The condition reached a low point during 1980–1999 but improved slightly after 1999. The horizontal network structure of local governance was active until 1960. Due to the introduction of the 'tidal river management' approach in the 90 s, the performance of the resource system and the environment has slightly improved, as has the involvement of government and non-government organizations. Our results also show that overall SES performance is comparatively bette

Exploring institutional structures for Tidal River Management in the Ganges-Brahmaputra Delta in Bangladesh

Tidal River Management (TRM) is a local adaptation strategy for coastal floodplains in the Ganges-Brahmaputra Delta in Bangladesh. TRM involves the periodic opening and closing of embankments to accelerate land accretion (or reclamation) in a floodplain. Although the approach is considered a promising adaptation strategy, there have been both positive and negative outcomes from recent TRM implementation. The aim of this study is consequently to explore the institutional (community, rules-in-use, and also biophysical) factors influencing successes and failures of TRM implementation for managing common-pool resources, as a basis for making recommendations on future institutional design. The Institutional Analysis and Development (IAD) framework, first developed by Ostrom (2010) and revised by Bisaro and Hinkel (2016), is therefore used to conduct comparative analysis of TRM institutional effectiveness in three Delta floodplains or beels: one led by a local community and the other two by national authorities. Our research employs a mixed method approach involving focus group discussions, stakeholder interviews, site visits, along with secondary literature analysis. The results of this assessment provide insights into coastal adaptation governance that could inform TRM implementation in Bangladesh and other similar contexts worldwide

Exploring institutional structures for Tidal River Management in the Ganges-Brahmaputra Delta in Bangladesh

Tidal River Management (TRM) is a local adaptation strategy for coastal floodplains in the Ganges-Brahmaputra Delta in Bangladesh. TRM involves the periodic opening and closing of embankments to accelerate land accretion (or reclamation) in a floodplain. Although the approach is considered a promising adaptation strategy, there have been both positive and negative outcomes from recent TRM implementation. The aim of this study is consequently to explore the institutional (community, rules-in-use, and also biophysical) factors influencing successes and failures of TRM implementation for managing common-pool resources, as a basis for making recommendations on future institutional design. The Institutional Analysis and Development (IAD) framework, first developed by Ostrom (2010) and revised by Bisaro and Hinkel (2016), is therefore used to conduct comparative analysis of TRM institutional effectiveness in three Delta floodplains or beels: one led by a local community and the other two by national authorities. Our research employs a mixed method approach involving focus group discussions, stakeholder interviews, site visits, along with secondary literature analysis. The results of this assessment provide insights into coastal adaptation governance that could inform TRM implementation in Bangladesh and other similar contexts worldwide

A Semi-Automated Hybrid Schema Matching Framework for Vegetation Data Integration

Integrating disparate and distributed vegetation data is critical for consistent and informed national policy development and management. Australia's National Vegetation Information System (NVIS) under the Department of Climate Change, Energy, the Environment and Water (DCCEEW) is the only nationally consistent vegetation database and hierarchical typology of vegetation types in different locations. Currently, this database employs manual approaches for integrating disparate state and territory datasets which is labour intensive and can be prone to human errors. To cope with the ever-increasing need for up to date vegetation data derived from heterogeneous data sources, a Semi-Automated Hybrid Matcher (SAHM) is proposed in this paper. SAHM utilizes both schema level and instance level matching following a two-tier matching framework. A key novel technique in SAHM called Multivariate Statistical Matching is proposed for automated schema scoring which takes advantage of domain knowledge and correlations between attributes to enhance the matching. To verify the effectiveness of the proposed framework, the performance of the individual as well as combined components of SAHM have been evaluated. The empirical evaluation shows the effectiveness of the proposed framework which outperforms existing state of the art methods like Cupid, Coma, Similarity Flooding, Jaccard Leven Matcher, Distribution Based Matcher, and EmbDI. In particular, SAHM achieves between 88% and 100% accuracy with significantly better F1 scores in comparison with state-of-the-art techniques. SAHM is also shown to be several orders of magnitude more efficient than existing techniques

Overcoming challenges for implementing nature-based solutions in deltaic environments: insights from the Ganges-Brahmaputra delta in Bangladesh

The Ganges-Brahmaputra (GB) delta is one of the most disaster-prone areas in the world due to a combination of high population density and exposure to tropical cyclones, floods, salinity intrusion and other hazards. Due to the complexity of natural deltaic processes and human influence on these processes, structural solutions like embankments are inadequate on their own for effective hazard mitigation. This article examines nature-based solutions (NbSs) as a complementary or alternative approach to managing hazards in the GB delta. We investigate the potential of NbS as a complementary and sustainable method for mitigating the impacts of coastal disaster risks, mainly cyclones and flooding. Using the emerging framework of NbS principles, we evaluate three existing approaches: tidal river management, mangrove afforestation, and oyster reef cultivation, all of which are actively being used to help reduce the impacts of coastal hazards. We also identify major challenges (socioeconomic, biophysical, governance and policy) that need to be overcome to allow broader application of the existing approaches by incorporating the NbS principles. In addition to addressing GB delta-specific challenges, our findings provide more widely applicable insights into the challenges of implementing NbS in deltaic environments globally