From discourses to systems—policymaking for adaptive management in the Brahmaputra River basin

Abstract Flood and riverbank erosion management in the Brahmaputra River basin (BRB) has traditionally relied on structural engineering interventions. However, there is growing evidence of their ineffectiveness and the social-ecological concerns they raise, including emergent systemic risks. This paper presents a social-ecological systems approach, offering a model that acts as a boundary object to integrate knowledge, foster stakeholder collaboration to tackle community vulnerability, and facilitate policy experimentation—key elements for advancing adaptive management. Employing systems thinking and system dynamics-based modelling can bridge the divide between science and policy, especially in areas characterized by data limitations and uncertainties like the BRB. This study adopts a nested approach encompassing three scales: macro (basin-level hydro-geomorphology), meso (flood control policies and infrastructure at administrative levels), and micro (village-level socio-economic conditions). The constructed boundary object promotes cross-scale learning and policy experimentation. Model scenarios of policy alternatives demonstrate that an integrated strategy—leveraging land covered with coarse sediment, innovating land use, and redesigning floodplains—significantly enhances effective land use and minimizes embankment failures. The findings emphasize the reinforcing dynamics between embankment degradation and community protests, highlight the limitations of compensation mechanisms, and reveal the erosion of adaptive capacity under the current control-based policy regime. A crucial insight from this study is that flood management strategies must evolve continually, reflecting scientific advancements, assessing policy impacts, and addressing local adaptation needs. Furthermore, a greater focus on riparian land use within development strategies is essential. The model scenarios advocate transitioning from traditional flood control to a landscape design harmonizing cropping practices and floodplain development with river morphology dynamics. While rooted in the Indian BRB context, the modelling framework provides a basis for adaptive water governance in other sediment-rich, politically sensitive, and hydrologically dynamic transboundary basins.

Authors

Institutions

Publication Details

Journal
Environmental Research Letters
Published
2025-04-24
DOI
https://doi.org/10.1088/1748-9326/add02b
Citations
3
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
3.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From discourses to systems—policymaking for adaptive management in the Brahmaputra River basin

N. L. Varma, Robert Wasson, Amarjit Saikia, Cecilia Tortajada et al.
3 citations
Environmental Research Letters
Water resources management and optimization
3.44
article

From discourses to systems—policymaking for adaptive management in the Brahmaputra River basin

N. L. Varma, Robert Wasson, Amarjit Saikia, Cecilia Tortajada, Raghupratim Rakshit, Rulong Tan
article en
3 citations

Abstract

Abstract Flood and riverbank erosion management in the Brahmaputra River basin (BRB) has traditionally relied on structural engineering interventions. However, there is growing evidence of their ineffectiveness and the social-ecological concerns they raise, including emergent systemic risks. This paper presents a social-ecological systems approach, offering a model that acts as a boundary object to integrate knowledge, foster stakeholder collaboration to tackle community vulnerability, and facilitate policy experimentation—key elements for advancing adaptive management. Employing systems thinking and system dynamics-based modelling can bridge the divide between science and policy, especially in areas characterized by data limitations and uncertainties like the BRB. This study adopts a nested approach encompassing three scales: macro (basin-level hydro-geomorphology), meso (flood control policies and infrastructure at administrative levels), and micro (village-level socio-economic conditions). The constructed boundary object promotes cross-scale learning and policy experimentation. Model scenarios of policy alternatives demonstrate that an integrated strategy—leveraging land covered with coarse sediment, innovating land use, and redesigning floodplains—significantly enhances effective land use and minimizes embankment failures. The findings emphasize the reinforcing dynamics between embankment degradation and community protests, highlight the limitations of compensation mechanisms, and reveal the erosion of adaptive capacity under the current control-based policy regime. A crucial insight from this study is that flood management strategies must evolve continually, reflecting scientific advancements, assessing policy impacts, and addressing local adaptation needs. Furthermore, a greater focus on riparian land use within development strategies is essential. The model scenarios advocate transitioning from traditional flood control to a landscape design harmonizing cropping practices and floodplain development with river morphology dynamics. While rooted in the Indian BRB context, the modelling framework provides a basis for adaptive water governance in other sediment-rich, politically sensitive, and hydrologically dynamic transboundary basins.

Environmental Research LettersVol. 20(6)
Australian National University (AU), International Institute for Applied Systems Analysis (AT), Jagannath University (IN), National University of Singapore (SG), University of Glasgow (GB), Tata Institute of Social Sciences (IN)
Openalex Percentile: Top 9%
Water resources management and optimization
3.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.