Climate change adaptation measure on agricultural communities of Dhye in Upper Mustang, Nepal

<p>The agricultural sector is particularly vulnerable to changing weather and climate conditions. Climate projections for Germany until the end of this century demonstrate higher temperatures and a substantial net water deficit during the summer months when agriculture is in high demand for water. Additionally, the frequency and length of dry periods increase as a consequence of climate change. Irrigation was introduced in the 1960s in Northeast Lower Saxony (Germany) to become more resilient to changing weather and climate conditions and prevent yield losses. The region involves today the largest irrigated area in Germany. However, during the drought in 2018 water extractions for irrigation by far exceeded the institutional limit. Water using conflicts are likely to strengthen in the future as the irrigation demand will increase. In this study, we explore the importance of irrigation as a climate change adaptation measure in the region. First, we employ a statistical regression model to investigate whether regional climate, hydrological, and irrigation data on a monthly and county level scale are adequate to describe potato yield changes between 1978 and 2018. Soil moisture information originates from the mesoscale hydrologic model (mHM). Irrigation is estimated based on the climatic water balance and crop water demand. These estimations are scaled with irrigation data from local authorities to account for realistic monthly water withdrawals. Second, we use the process-based crop model EPIC to estimate potato crop yields and to validate the performance of the statistical approach. We analyze future yield changes based on climate model projections for the 21st century using the two approaches. We investigate different irrigation scenarios as a potential climate change adaptation measure. By comparing the statistical and process-based approaches we explore whether a rather simplistic statistical approach captures the main processes of the climate change impact on yields.</p>

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Olive tree irrigation as a climate change adaptation measure in Alentejo, Portugal

Agricultural Water Management ◽

10.1016/j.agwat.2020.106193 ◽

2020 ◽

Vol 237 ◽

pp. 106193 ◽

Cited By ~ 3

Author(s):

Helder Fraga ◽

Joaquim G. Pinto ◽

João A. Santos

Keyword(s):

Climate Change ◽

Climate Change Adaptation ◽

Olive Tree ◽

Adaptation Measure

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Community Forest Management as Climate Change Adaptation Measure in Nepal’s Himalaya

Climate Change Adaptation Strategies – An Upstream-downstream Perspective ◽

10.1007/978-3-319-40773-9_6 ◽

2016 ◽

pp. 101-120 ◽

Cited By ~ 2

Author(s):

Rabin Raj Niraula ◽

Bharat K. Pokharel

Keyword(s):

Climate Change ◽

Forest Management ◽

Climate Change Adaptation ◽

Community Forest Management ◽

Community Forest ◽

Adaptation Measure

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Farming adaptations in the face of climate change

Renewable Agriculture and Food Systems ◽

10.1017/s174217051700076x ◽

2018 ◽

Vol 33 (3) ◽

pp. 206-211 ◽

Cited By ~ 2

Author(s):

Rebecca L. Som Castellano ◽

Jillian Moroney

Keyword(s):

Climate Change ◽

Climate Change Adaptation ◽

Geographical Location ◽

Adaptation Strategies ◽

Agricultural Communities ◽

Multiple Factors ◽

The Face ◽

Change Beliefs ◽

On Farm

AbstractAgriculture is one of the most vulnerable sectors to climate change, and in many agricultural communities climate change adaptations by farmers are underway. Farmers’ beliefs about climate change and their experiences with climate change, along with a range of other factors, could influence climate change adaptation. Utilizing a framework which draws from research examining how farmers’ climate change beliefs and experiences affect their adaptation strategies, and research on farm succession and adaptation at the rural–urban interface (RUI), we ask ‘How do climate change beliefs and different farm attributes (particularly the presence of an heir and location at the RUI) affect adaptation strategies?’ Preliminary findings indicate that adaptation varies based on multiple factors, including belief in climate change, the presence of an heir, geographical location and a variety of other farm characteristics and farmer attributes.

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