Climate variability and extreme weather events and global crop production

2015 ◽  
Keyword(s):  
Climate Variability ◽  
Crop Production ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

scholarly journals Consequences of Climate Change Impacts and Incidences of Extreme Weather Events in Relation to Crop Production in Bhutan

2020 ◽  
Vol 12 (10) ◽  
pp. 4319 ◽  
Author(s):  
Ngawang Chhogyel ◽  
Lalit Kumar ◽  
Yadunath Bajgai
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Climatic Factors ◽  
Climate Change Impacts ◽  
Extreme Weather ◽  
Crop Damage ◽  
Extreme Weather Events ◽  
Cropping Pattern ◽  
The People ◽  
Weather Events

Being a country in the Himalayas, Bhutan is highly prone to the vagaries of weather events that affect agricultural production and the subsequent livelihood of the people. To identify the main issues that affect crop production and the decisions of farmers, a survey was conducted in three different agro-ecosystems in Bhutan. Our key findings indicate that farming and the decisions of farmers were largely affected by different climatic and non-climatic factors. These were in descending order of importance: irrigation availability > farm labour > crop seasonality > crop damage (climatic) > land holding > crop damage (wildlife) > crop damage (diseases and pests). The most important consequences of climate change impacts were the drying of irrigation sources (4.35) and crop losses due to weather events (4.10), whereas land fallowing, the occurrence of flood and soil erosion, weed pressure and changes in cropping pattern (with mean ratings of 2.53–3.03) experienced lesser consequences. The extreme weather events, such as untimely rains, drought and windstorms, were rated as the ‘most common’ to ‘common’ occurrences, thus inflicting a crop loss of 1–19%. These confirm our hearsay knowledge that extreme weather events have major consequences on irrigation water, which is said to be either drying or getting smaller in comparison to the past. Therefore, Bhutan must step up its on-ground farmer-support system towards improving the country’s food production, whilst embracing climate smart farm technologies for adapting to the impacts of change.

scholarly journals Extreme Weather Events and Climate Variability Provide a Lens to How Shallow Lakes May Respond to Climate Change

Water ◽  
2016 ◽  
Vol 8 (6) ◽  
pp. 229 ◽  
Author(s):  
Karl Havens ◽  
Hans Paerl ◽  
Edward Phlips ◽  
Mengyuan Zhu ◽  
John Beaver ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Shallow Lakes ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

scholarly journals Climate change impacts on cattle production: analysis of cattle herders’ climate variability/change adaptation strategies in Nigeria

2019 ◽  
Vol 5 (1) ◽  
pp. 12-23
Author(s):  
Ayansina Ayanlade ◽  
Stephen M. Ojebisi
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Extreme Weather ◽  
Adaptation Strategies ◽  
Extreme Weather Events ◽  
Climate Data ◽  
Cattle Production ◽  
Study Region ◽  
Qualitative Approaches ◽  
Weather Events

Abstract The study examines the seasonality in climate and extreme weather events, and its effect on cattle production in the Guinea Savannah ecological zone of Nigeria. The study uses both quantitative and qualitative approaches. Climate data of 34 years were used to examine the trends in rainfall pattern and climate variability while household survey was used to appraise the herders’ awareness of climate variability/change impacts and adaptation strategies. Cumulative Departure Index (CDI) method was used to assess the extreme weather events while descriptive statistics and multinomial logistic (MNL) regression model were used to identify the factors that determined herders’ adaptation strategies to climate change. The results revealed a significant spatiotemporal variation in both rainfall and temperature with CDI ranging from -1.39 to 3.3 and -2.3 to 1.81 respectively. The results revealed a reduction in the amount of water available for cattle production. From survey results, 97.5% of the herders identified drought as the major extreme weather event affecting livestock productivities in the study region. In the herder’s perception, the droughts are more severe in recent years than 34 years ago. The results from MNL revealed that extreme weather events, such as drought, has a positive likelihood on migration, at a 10% level of significance, the events has led to migration of cattle herders from the northern part of the study area toward the southern part in recent years.

scholarly journals FASAL concept in meeting the requirements of assessment and forecasting crop production affected by extreme weather events

MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 93-104
Author(s):  
JAI SINGH PARIHAR
Keyword(s):  
Remote Sensing ◽  
Crop Production ◽  
Remote Sensing Data ◽  
Extreme Weather ◽  
Crop Damage ◽  
Extreme Weather Events ◽  
Production Forecast ◽  
Sensing Data ◽  
Production Forecasting ◽  
Weather Events

The research in remote sensing application in India started first in agriculture way back in 1969. With the improvement in satellite sensors, data processing algorithms, models and computational power over time, this research culminated into development of operational projects of CAPE and FASAL, tackling an important issue of operationally providing pre-harvest crop production forecast to stakeholders. This review paper details the sequential developments in the use of remote sensing data for crop production forecasting. The scientific developments in the use of single and multi-temporal optical and microwave satellite images for crop identification and yield estimation in India have been reviewed.  The case studies on use of remote sensing data for crop assessment under extreme weather events are also presented. These include the assessment of crop damage due to extreme weather events of floods, drought, and hailstorm. Examples on use of remote sensing for crop damage assessment due to pest and diseases and forecasting their incidence using satellite derived weather parameters are reviewed.

scholarly journals Establishing an operational system for assessment and forecasting the impact of extreme weather events on crop production

MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 289-296
Author(s):  
SHIBENDU S. RAY ◽  
SURESH K. SINGH ◽  
NEETU . ◽  
S. MAMATHA
Keyword(s):  
Remote Sensing ◽  
Case Studies ◽  
Crop Production ◽  
Large Scale ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Wheat Crop ◽  
Production Forecasting ◽  
Weather Events ◽  
The Impact

Crop production forecasting is essential for various economic policy and decision making. There is a very successful operational programme in the country, called FASAL, which uses multiple approaches for pre-harvest production forecasting.  With the increase in the frequency of extreme events and their large-scale impact on agriculture, there is a strong need to use remote sensing technology for assessing the impact.  Various works have been done in this direction. This article provides three such case studies, where remote sensing along with other data have been used for assessment of flood inundation of rice crop post Phailin cyclone, period operational district/sub-district level drought assessment and understanding the impact of recent hailstorm/unseasonal rainfall on wheat crop. The case studies highlight the great scope of remote sensing data for assessment of the impact of extreme weather events on crop production.

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