Adaptive capacity of farming household to drought as an impact of climate change in Central Lombok Regency

Climate change has intensified the frequency and severity of drought events, significantly disrupting agricultural system and food security. This study assesses the adaptive capacity of farming households to drought impacts in Central Lombok Regency, Indonesia, one of the regions most affected by water scarcity. A sequential explanatory mixed-method approach was employed, integrating quantitative assessment through the Adaptive Capacity Index (ACI) and qualitative insights from semi-structured interviews with 111 respondents across five drought-prone sub-districts. The ACI incorporated five dimensions: human, social, economic. Cultural, and physical infrastructure. Result indicate that Pujut Sub-district demonstrates the highest adaptive capacity (ACI = 0.62, high category), driven by strong human resource development, social cohesion, and access to climate-related training programs such as Climate Field Schools. Meanwhile, Praya Barat shows the lowest ACI (0.27, low category), reflecting weak institutional networks and limited exposure to adaptation initiatives. Overall, social and cultural dimensions exhibited the strongest contributions to resilience, underscoring the significance of social capital and traditional values such as ‘besiru’ (cooperation) in sustaining adaptation practices.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-23
DOI
https://doi.org/10.1051/e3sconf/202568201004/pdf
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive capacity of farming household to drought as an impact of climate change in Central Lombok Regency

Isnaniar Rahmatul Azizah, Siska Ita Selvia, Intan Lusiana Dewi, Idiatul Fitri Danasari
Springer Link (Chiba Institute of Technology)
Climate change impacts on agriculture
article

Adaptive capacity of farming household to drought as an impact of climate change in Central Lombok Regency

Isnaniar Rahmatul Azizah, Siska Ita Selvia, Intan Lusiana Dewi, Idiatul Fitri Danasari
article en

Abstract

Climate change has intensified the frequency and severity of drought events, significantly disrupting agricultural system and food security. This study assesses the adaptive capacity of farming households to drought impacts in Central Lombok Regency, Indonesia, one of the regions most affected by water scarcity. A sequential explanatory mixed-method approach was employed, integrating quantitative assessment through the Adaptive Capacity Index (ACI) and qualitative insights from semi-structured interviews with 111 respondents across five drought-prone sub-districts. The ACI incorporated five dimensions: human, social, economic. Cultural, and physical infrastructure. Result indicate that Pujut Sub-district demonstrates the highest adaptive capacity (ACI = 0.62, high category), driven by strong human resource development, social cohesion, and access to climate-related training programs such as Climate Field Schools. Meanwhile, Praya Barat shows the lowest ACI (0.27, low category), reflecting weak institutional networks and limited exposure to adaptation initiatives. Overall, social and cultural dimensions exhibited the strongest contributions to resilience, underscoring the significance of social capital and traditional values such as ‘besiru’ (cooperation) in sustaining adaptation practices.

Springer Link (Chiba Institute of Technology)
Climate action
Openalex Percentile: Top 24%
Climate change impacts on agriculture
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.