Risk analysis of climate variability on food production in Hailun, Northeast China

2010 ◽  
Vol 18 (6) ◽  
pp. 1345-1350
Author(s):  
Hai-Ping ZHANG ◽  
Li-Ding CHEN ◽  
Xiao-Yan WANG ◽  
Yan MA ◽  
Xin-Feng ZHAO ◽  
...  
2021 ◽  
pp. 003072702110049
Author(s):  
Mashudu Tshikovhi ◽  
Roscoe Bertrum van Wyk

This study examines the impact of increasing climate variability on food production in South Africa, focusing on maize and wheat yields. A two-way fixed effects panel regression model was used to assess the climate variability impacts, analysing secondary data for the period 2000 to 2019 for nine provinces in South Africa. The study found that increasing climate variability has a negative impact on maize and wheat production in South Africa. Specifically, the results indicated a negative correlation between mean annual temperature with both maize and wheat yields. A decrease in precipitation affected maize yields negatively, while the impact on wheat yields was positive, although insignificant. This analysis, therefore, depicted that crop yields generally increase with more annual precipitation and decrease with higher temperatures. The study recommends that funding initiatives to educate farmers on increasing climate variability and its effects on farming activities in South Africa should be prioritised.


Author(s):  
Shuo Wang ◽  
Baolu Yang ◽  
Qiang Zhou ◽  
Zeshu Li ◽  
Wenhong Li ◽  
...  

2021 ◽  
Vol 5 ◽  
Author(s):  
Peerzadi Rumana Hossain ◽  
T. S. Amjath-Babu ◽  
Timothy J. Krupnik ◽  
Melody Braun ◽  
Essam Yassin Mohammed ◽  
...  

Climate information services (CIS) are increasingly in demand to assist farmers in managing risks associated with climate variability and extremes experienced in food production. However, there are significant gaps in the availability and accessibility of these services, especially in aquatic food production in developing countries. In response, this study aims to generate the background knowledge for developing climate information and decision support services tailored for aquaculture farmers in Bangladesh. We surveyed 800 fish-farming households, interviewed 30 key informants, and conducted a systematic literature review to identify climate-sensitive operations and management decisions in aquaculture and to document fish-farmers' awareness of the relationships between climate variability and aquatic food production systems. We also sought to identify the lead time and communication method(s) needed to deploy forecasts effectively and prepare aquaculture farmers to act in response to the forecasts. A fish-farming activity calendar was developed that identified high temperature, cold spell, heavy rainfall, and dry spell events as key climatic phenomena affecting year-round aquaculture operations, including pond preparation and maintenance, fingerling stocking, grow-out management, and harvesting. We also identified five climate-sensitive management decision points and 26 potential advisories in line with specific climate variability to manage induced risks in the day-to-day operations of fish farmers. Finally, the research team developed a decision framework based on the temperature and rainfall thresholds for the grow-out phase of four widely cultivated and economically important fish species in Bangladesh. This innovative decision support approach is to our knowledge the very first endeavor to develop CIS using species-specific temperature and rainfall thresholds to reduce climate risks and ensure resilience capacity for South Asian aquaculture system.


2013 ◽  
Author(s):  
L. Doudová ◽  
F. Buňka ◽  
J. Michálek ◽  
M. Sedlačík ◽  
L. Buňková

Boreas ◽  
2015 ◽  
Vol 44 (3) ◽  
pp. 575-587 ◽  
Author(s):  
Wei Xing ◽  
Kunshan Bao ◽  
Wenyong Guo ◽  
Xianguo Lu ◽  
Guoping Wang

2004 ◽  
Vol 49 (7) ◽  
pp. 157-163 ◽  
Author(s):  
Q. Zhu ◽  
Y. Li

Food insecurity is still a challenge in some remote and mountainous areas in China. When studying the impact of climate variability on food production, we should pay even more attention to the rainfed area. This is because the larger part of agriculture is the rainfed one and climate variability has more negative impacts on the rainfed agriculture than on the irrigated one. The traditional dry farming practices based on the principle of storing as much rain in the soil as possible and making best use of soil water could not bridge the gap between the time that the crop needs water and the time that rain occurs, so its effects on enhancing food production under climate variability is limited. Combining artificial water supply from rainwater harvesting systems with the traditional dry farming practices is an innovation in water management in rainfed agriculture. Experiences in the recent two decades indicate that rainwater harvesting irrigation can well mitigate the drought caused by the climate variability and bring the rainfed agriculture to a new level.


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