Citizen science approach for springshed management: A comprehensive community-driven mapping and dataset of spring sources in Kavre, Nepal

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Srijan Thapa, Anju Pandit, Sanjeev Bhuchar, Madhav Dhakal
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引用次数: 0

Abstract

In the Himalayan region, a reliable and comprehensive spring source dataset is crucial for sustainable water source management, protection of the environment, climate change adaptation efforts, and formation of evidence-based informed policy decisions, where springs play a vital role in local water security. Community Resource Persons (CRPs)- these are local community members, who were trained in springshed management as well as in field data collection and collected the data using a mobile-based ArcGIS Survey123 app. The dataset includes the spring's georeferenced location, water use patterns, source conditions, discharge, basic socio-economic characteristics of dependent communities, and adaptation measures implemented by communities to address water scarcity. By integrating local knowledge and citizen science approaches with state-of-the-art digital technology, the dataset offers valuable insights for sustainable water resource management, highlighting the biophysical, cultural, social, and governance aspects of springs in the drought-prone region. This data can support socio-ecological research inform policymaking targeting water security and efforts aimed at the revival of springs. As the dataset is made publicly available through ICIMOD's Regional Database System (RDS) (https://rds.icimod.org/), it will serve as a foundation for the identification of critical springs for long-term monitoring and revival and assessing the impact on water security after the revival of dried springs, which will be important for researchers, policymakers, and conservation practitioners alike.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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