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Peer-reviewedCC BYSustainability science

Operationalizing vulnerability and resilience interdependencies in drought risk management.

  • Abdullah Konak1
  • Nazmiye Balta-Ozkan2
  • Elisabeth Shrimpton2,3
  • Michael Jacobson4
  • Daniel Winstead4
  • Adelaide Cassia Nardocci5
  • Tanaya Sarmah2,6
  • Eduardo Mario Mendiondo7
7 affiliations
  1. 1Information Sciences and Technology, The Pennsylvania State University, Berks, Reading, USA.
  2. 2Faculty of Engineering and Applied Sciences, Cranfield University, Cranfield, UK.
  3. 3School of Civil Engineering, University of Birmingham, Birmingham, UK.
  4. 4Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, USA.
  5. 5School of Public Health, University of São Paulo, São Paulo, Brazil.
  6. 6Department of Architecture and Planning, Indian Institute of Technology Roorkee, Roorkee, India.
  7. 7São Carlos School of Engineering, University of São Paulo, São Paulo, Brazil.
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Abstract

Droughts, exacerbated by climate change, pose increasingly complex challenges for social-ecological systems worldwide. Traditional index-based methodologies capture vulnerability and resilience at an aggregate level but often overlook the nuanced ways in which these two constructs interact. To address this gap, this study introduces the Matrix-Based Drought Indicator System (MADIS) framework that operationalizes the interdependence between vulnerability and resilience at the indicator level. By distinguishing between coping, adaptive, and transformative capacities, the MADIS framework supports a more detailed assessment of how specific resilience indicators can mitigate different vulnerability factors. Two studies, online workshops with global drought experts and collaborative workshops focusing on small-scale farming communities in Pennsylvania, demonstrate how participatory methods can be used to identify and validate these interdependencies. Findings suggest that integrating indicator-level interdependencies leads to more refined risk categorizations, facilitates stakeholder consensus, and better informs targeted policy interventions. These case studies also reveal the drawbacks and implementation challenges of the MADIS framework. Ultimately, the MADIS framework contributes to a more dynamic view of resilience and social-technical-ecological systems analysis of climate change-related risk assessment. Future work will expand upon this approach by incorporating continuous temporal feedback, additional hazard indicators, and integration with social-technical-ecological systems analysis.

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Cite

BibTeXRIS
BibTeX
@article{konak2026operationalizing,
  title = {{Operationalizing vulnerability and resilience interdependencies in drought risk management.}},
  author = {Abdullah Konak and Nazmiye Balta-Ozkan and Elisabeth Shrimpton and Michael Jacobson and Daniel Winstead and Adelaide Cassia Nardocci and Tanaya Sarmah and Eduardo Mario Mendiondo},
  journal = {Sustainability science},
  year = {2026},
  month = jun,
  doi = {10.1007/s11625-026-01859-z},
  url = {https://europepmc.org/article/MED/42903393},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Operationalizing vulnerability and resilience interdependencies in drought risk management.
AU  - Abdullah Konak
AU  - Nazmiye Balta-Ozkan
AU  - Elisabeth Shrimpton
AU  - Michael Jacobson
AU  - Daniel Winstead
AU  - Adelaide Cassia Nardocci
AU  - Tanaya Sarmah
AU  - Eduardo Mario Mendiondo
PY  - 2026
DA  - 2026/06/04
JO  - Sustainability science
DO  - 10.1007/s11625-026-01859-z
UR  - https://europepmc.org/article/MED/42903393
AB  - Droughts, exacerbated by climate change, pose increasingly complex challenges for social-ecological systems worldwide. Traditional index-based methodologies capture vulnerability and resilience at an aggregate level but often overlook the nuanced ways in which these two constructs interact. To address this gap, this study introduces the Matrix-Based Drought Indicator System (MADIS) framework that operationalizes the interdependence between vulnerability and resilience at the indicator level. By distinguishing between coping, adaptive, and transformative capacities, the MADIS framework supports a more detailed assessment of how specific resilience indicators can mitigate different vulnerability factors. Two studies, online workshops with global drought experts and collaborative workshops focusing on small-scale farming communities in Pennsylvania, demonstrate how participatory methods can be used to identify and validate these interdependencies. Findings suggest that integrating indicator-level interdependencies leads to more refined risk categorizations, facilitates stakeholder consensus, and better informs targeted policy interventions. These case studies also reveal the drawbacks and implementation challenges of the MADIS framework. Ultimately, the MADIS framework contributes to a more dynamic view of resilience and social-technical-ecological systems analysis of climate change-related risk assessment. Future work will expand upon this approach by incorporating continuous temporal feedback, additional hazard indicators, and integration with social-technical-ecological systems analysis.
SN  - 1862-4065
SN  - 1862-4057
ER  -