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Juliane Dame

Researcher at Heidelberg University

Publications -  18
Citations -  418

Juliane Dame is an academic researcher from Heidelberg University. The author has contributed to research in topics: Glacier & Agriculture. The author has an hindex of 8, co-authored 15 publications receiving 233 citations.

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Food security in high mountain regions: agricultural production and the impact of food subsidies in Ladakh, Northern India

TL;DR: In this article, a case study from Ladakh (Indian Himalayas) illustrates how changes of the political and socio-economic conditions have affected food security strategies of mountain households and argues that tailor-made regional policies and programmes are needed to face the specific challenges in high mountain regions.
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Irrigation and Development in the Upper Indus Basin

TL;DR: In this paper, the authors presented two local case studies on the village level and an overview of Central Ladakh based on multi-temporal remote sensing analyses, qualitative interviews, and regional background information.
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Socio-hydrology of “artificial glaciers” in Ladakh, India: assessing adaptive strategies in a changing cryosphere

TL;DR: In this paper, the authors examined the efficacy of 14 ice reservoirs through a long-term analysis of their functioning within the environmental and socioeconomic context of Ladakh, and provided an inventory and typology of these ice reservoirs and estimate storage volume of one selected structure, which ranges from 1010 to 3220 m3 of water.
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Urbanisation and socio-ecological challenges in high mountain towns: Insights from Leh (Ladakh), India

TL;DR: In this paper, a case study of Leh town, located in the Indian Himalaya, reveals an array of diverse patterns, drivers, and challenges that characterise the process of mountain urbanisation.
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Cryosphere hazards in Ladakh: the 2014 Gya glacial lake outburst flood and its implications for risk assessment

TL;DR: In this article, the authors reconstruct the causes and consequences of the 2014 glacial lake outburst flood (GLOF) event in Gya, Ladakh, using a high temporal and high spatial resolution remote sensing approach.