Influence of seasonal weather and climate variability on crop yields in Scotland

2012 ◽  
Vol 57 (4) ◽  
pp. 605-614 ◽  
Author(s):  
Iain Brown
Keyword(s):  
Climate Variability ◽  
Crop Yields ◽  
Weather And Climate ◽  
Seasonal Weather

Influence of climate variability and length of rainy season on crop yields in semiarid Botswana

2018 ◽  
Vol 248 ◽  
pp. 130-144 ◽  
Author(s):  
Jimmy Byakatonda ◽  
B.P. Parida ◽  
Piet K. Kenabatho ◽  
D.B. Moalafhi
Keyword(s):  
Climate Variability ◽  
Rainy Season ◽  
Crop Yields

scholarly journals Soil-dependent responses of US crop yields to climate variability and depth to groundwater

2021 ◽  
Vol 190 ◽  
pp. 103085
Author(s):  
Jingyi Huang ◽  
Alfred E. Hartemink ◽  
Christopher J. Kucharik
Keyword(s):  
Climate Variability ◽  
Crop Yields

South Africa’s increasing climate variability and its effect on food production

2021 ◽  
pp. 003072702110049
Author(s):  
Mashudu Tshikovhi ◽  
Roscoe Bertrum van Wyk
Keyword(s):  
South Africa ◽  
Climate Variability ◽  
Food Production ◽  
Fixed Effects ◽  
Crop Yields ◽  
Negative Impact ◽  
Secondary Data ◽  
Mean Annual Temperature ◽  
Fixed Effects Panel Regression ◽  
The Impact

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.

ENSO, climate variability and crop yields in China

2013 ◽  
Vol 58 (2) ◽  
pp. 133-148 ◽  
Author(s):  
J Shuai ◽  
Z Zhang ◽  
DZ Sun ◽  
F Tao ◽  
P Shi
Keyword(s):  
Climate Variability ◽  
Crop Yields

scholarly journals Challenges in Forecasting the 2011 Runoff Season in the Colorado Basin

2013 ◽  
Vol 14 (4) ◽  
pp. 1364-1371 ◽  
Author(s):  
Kevin Werner ◽  
Kristen Yeager
Keyword(s):  
Great Basin ◽  
Colorado River ◽  
Mitigation Measures ◽  
Snow Covered Area ◽  
Covered Area ◽  
Weather And Climate ◽  
Forecasting System ◽  
Colorado Basin ◽  
Seasonal Weather ◽  
Severe Flooding

Abstract Historically large snowpack across the upper Colorado basin and the Great Basin in 2011 presented the potential for widespread and severe flooding. While widespread flooding did occur, its impacts were largely moderated through a combination of sustained cool weather during the melt season and mitigation measures based on forecasts. The potential for more severe flooding persisted from April through the first part of July as record-high snowpacks slowly melted. NOAA's Colorado Basin River Forecast Center (CBRFC) is the primary office responsible for generating river forecasts in support of emergency and water management within the Colorado River basin. This paper describes the 2011 runoff season in the basin and examines the skill of CBRFC forecasts for that season. The primary goal of this paper is to raise awareness of the research and development areas that could, if successfully integrated into the CBRFC river forecasting system, improve forecasts in similar situations in the future. The authors identify three areas of potential forecast improvement: 1) improving week two to seasonal weather and climate predictions, 2) incorporation of remotely sensed snow-covered area, and 3) improving coordination between reservoir operations and forecasts.

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