HI-AWARE Brief - 10
Key Message: Labour migration in the Hindu Kush Himalaya boosts household adaptive capacities by spreading risk and diversifying livelihoods. It is incumbent on policy makers to make migration more beneficial for people, and to help build household resilience in the face of environmental change. However, migration is a costly and complicated pathway, which is not available to, or feasible for, all households. Thus, other in-situ adaptation options are equally important.
HI-AWARE Brief - 11
Key Message: Actors and contexts drive adaptation choices. HI-AWARE has used multi-stakeholder processes to prioritise context specific adaptation options, allowing for holistic planning around persistent risks in study basins of the Hindu Kush Himalayan (HKH) region. These prioritised options include, among others, water storage, high efficiency irrigation systems (HEIS), mixed cropping, preservation of local seeds (seed banking) and knowledge on local techniques for cardamom cultivation, and early-warning systems, in the Indus, Gandaki, Lower Teesta, Upper Teesta, and Upper Ganga river basins respectively.
HI-AWARE Brief - 12
Key Message: Climate smart water management practices are important to cope with increasing climate variability and improve agricultural sustainability in South Asia.
Novel solutions like solar powered irrigation pumps can accelerate the adoption of improved irrigation methods (e.g. drip or sprinkler) and proven water saving practices (e.g. mulching), and crop diversification.
In high- and mid-altitude mountains, re-adoption of traditional crops is vital to cope with water stress induced by rapidly changing patterns of snowfall and glacier melt.
HI-AWARE Brief - 13
Key Message: Communities in the Hindu Kush Himalayan region are already experiencing critical climate stress moments, which form a growing risk to their livelihoods. These stresses are experienced differently by men and women and are driven by a changing climate and perceptions of more extreme weather events in the past years. Community perceptions of change and climate events in the past ten years reveal increasing temperatures, erratic and untimely rainfall, hailstorms, drought and decrease in snowfall. These variabilities affect agriculture, the major component of their livelihoods, at various stages of the crop cycle depending on the study sites, and communities are adapting to these changes by altering the crop cycle or shifting to climate resilient crops.
HI-AWARE Brief - 14
Key Message: Adaptation requires careful consideration of what to do when in order to sustain development efforts over time.
Assessment of when people are most vulnerable guides adaptation to offer fit-for-purpose solutions to people in different socio-cultural contexts. Critical climate stress moments are already experienced across different sectors in the Hindu Kush Himalaya. People are coping, yet not prepared enough for future changes in climate. For timely adaptation it is crucial to assess when turning points for decision-making are reached.
HI-AWARE started the development of adaptation pathways in the Hindu Kush Himalaya region. Making adaptation pathways helps to assess whether development is sustainable within the context of climate change and when adaptations are needed. In order for development plans to be climate-resilient they need to include choices and actions that reduce climate change impacts to sustain development efforts over time. Participatory development of adaptation pathways helps to prepare for change and facilitate the transformation needed for adaptation.
HI-AWARE Brief - 15
Key Message: The pilots implemented by HI-AWARE present contextually relevant and ecologically friendly technologies in the field of flood resilience, climate smart agriculture, and water and heat stress management. They have shown promising results and responses to existing climate risks at the local level, and in preparation for uncertainties relating to future climate risks.
The co-designing, planning, testing and implementation of various technologies with communities and other stakeholders, and existing technologies, are critical factors for successful pilots in the HKH region.
Kripa Shrestha, Students' Dissertation, 2018
Landslide is one of the major type of natural disaster that causes loss of life and property in Nepal. The landslide risk assessment using GIS and remote sensing tools identifying hazard, vulnerability and risk are very useful for disaster risk reduction and management. The study was carried out in the Chepe river corridor using two landslide hazard models which were compared for the evaluation of the performance of the hazard model in the small area like a river corridor.
Sunam Pradhan, Students' Dissertation, 2017
Climate change is a slow natural process that has been taking place in earth since its formation. The agriculture production is entirely dependent on precipitation, temperature and other weather conditions. The irrigation systems though constructed to provide supplementary water to the fields are affected due to change in precipitation pattern and volume. Khageri Irrigation System is chosen to study the climatic variability triggered changes in farming in irrigated scenario as it covers a large area of 3900 ha in Chitwan.
Zubair Hafeez, Students' Dissertation, 2017
Climate change is reality now and fresh water resources are under threats in this context. The assessment of impacts of climatic variabilities on available water resources is necessary to identify adaptation strategies. Simly dam a key source of drinking water for Islamabad city is likely to be affected by such type of changes.
Kashif Jamal, Students' Dissertation, 2016
Investigation of streamflows in high–altitude cryosphere due to the changing climate is an immense challenge under inadequate climate records. The current study compares the efficiency of rainfall–runoff model (HEC–HMS) and the snowmelt–runoff model (SRM) for current climate in Hunza River catchment. Landsat–5 & 8 imagery was selected for land cover classification and change detection using Earth Recourses Data Analysis System (ERDAS) Imagine tool.