scholarly journals Weather Variability and Instability in Agricultural Production: Evidence from Odisha

2021 ◽  
pp. 111-121
Author(s):  
Manoj Kumar Das
Keyword(s):  
Crop Yield ◽  
Agricultural Production ◽  
Crop Yields ◽  
The State ◽  
Extreme Weather Events ◽  
Weather Variability ◽  
Negative Effects ◽  
Agrarian Economy ◽  
Weather Events ◽  
Agricultural Yield

This study focused on exploring the weather variability induced instability in agriculture in the Odisha, India. In this study, growth and instability in ten major crops are analysed, followed by a depiction of weather variability in Odisha and then the association between weather variability and instability in selected crops are analysed using regression analysis. It is observed that weather variability is a major concern in the state of Odisha. In the context of agrarian economy of Odisha, the dimensions, magnitude and erratic nature of the weather variability and extreme weather events have made the situation more complex. Wide variations are observed in the rainfall both across time and space in the state. The long term average rainfall is indicating a declining trend. The weather variability has produced profound negative effects on agricultural production and yields in the state, causing agricultural fluctuations and has been a serious threat to the agrarian economy. Empirical findings lend credence to the negative effects of weather variability on agricultural yield and the regression analyses of yield instability on weather variability have only reaffirmed the same. The negative effects of weather variability on crop yield leads to a clear policy implication of proper provisioning of irrigation and weather variability resistance crop for increasing the crop yields and reduce the crop yield instability.

scholarly journals Vpliv namakanja v kombinaciji s tehnologijo nege ledine na razporeditev, migracijo ter vsebnost nitrata in bakra v tleh oljčnih nasadov

2018 ◽  
Vol 111 (2) ◽  
pp. 393
Author(s):  
Maja PODGORNIK
Keyword(s):  
Agricultural Production ◽  
Climatic Changes ◽  
Extreme Weather Events ◽  
Negative Effects ◽  
Applied Water ◽  
Soil Cultivation ◽  
Technical Management ◽  
Weather Events ◽  
Decomposition Of Organic Matter ◽  
Olive Groves

The more frequent and intense extreme weather events (higher temperatures – the intensity and frequency of heat weaves, more and longer periods of drought) and weather-related diseases and pests, that have caused the greatest damage to olive production in the recent years, are a warning that urgent changes to Slovenian olive culture are needed. Due to the realisation that adaptations of agricultural production to climatic changes can have negative effects on the environment (water, soil), we conducted an experiment to determine the actual effect of adaptations of agro-technical management on the dynamics of nitrate and copper in the soil. The results of the study have shown that irrigation in combination with the technology of soil cultivation have effect on the allocation, migration and content of nitrate and copper in the soil of olive groves. Along with the fact that applied water allows the undisturbed absorption of nutrients into the plant, it can also improve the conditions for mineralisation and decomposition of organic matter, which is heavily dependent on the type of soil cultivation.

The relationship between extreme weather and low crop yields

2020 ◽  
Author(s):  
Matias Heino ◽  
Weston Anderson ◽  
Michael Puma ◽  
Matti Kummu
Keyword(s):  
Soil Moisture ◽  
Crop Yield ◽  
Crop Yields ◽  
Explanatory Power ◽  
The United States ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Data ◽  
Yield Variability ◽  
Weather Events

<p>It is well known that climate extremes and variability have strong implications for crop productivity. Previous research has estimated that annual weather conditions explain a third of global crop yield variability, with explanatory power above 50% in several important crop producing regions. Further, compared to average conditions, extreme events contribute a major fraction of weather induced crop yield variations. Here we aim to analyse how extreme weather events are related to the likelihood of very low crop yields at the global scale. We investigate not only the impacts of heat and drought on crop yields but also excess soil moisture and abnormally cool temperatures, as these extremes can be detrimental to crops as well. In this study, we combine reanalysis weather data with national and sub-national crop production statistics and assess relationships using statistical copulas methods, which are especially suitable for analysing extremes. Further, because irrigation can decrease crop yield variability, we assess how the observed signals differ in irrigated and rainfed cropping systems. We also analyse whether the strength of the observed statistical relationships could be explained by socio-economic factors, such as GDP, social stability, and poverty rates. Our preliminary results indicate that extreme heat and cold as well as soil moisture abundance and excess have a noticeable effect on crop yields in many areas around the globe, including several global bread baskets such as the United States and Australia. This study will increase understanding of extreme weather-related implications on global food production, which is relevant also in the context of climate change, as the frequency of extreme weather events is likely to increase in many regions worldwide.</p>

On the diversity of the effects of the state support for agriculture

2019 ◽  
pp. 59-73 ◽  
Author(s):  
Nikolai M. Svetlov ◽  
Renata G. Yanbykh ◽  
Dariya A. Loginova
Keyword(s):  
Agricultural Production ◽  
The State ◽  
Russian Regions ◽  
Negative Effects ◽  
State Support ◽  
Soft Budget Constraints ◽  
Institutional Conditions ◽  
Positive Effects ◽  
Production Factors ◽  
Corporate Farms

In this paper, we assess the effects of agricultural state support of corporate farms on their revenues from agricultural production sales in 14 Russian regions that differ in technology, environment and institutional conditions. In addition to the direct effect of the state support, the indirect effects via labor and capital are revealed. For this purpose, we identify production functions and statistical models of production factors for each of these regions separately. We find out diverse effects of the state support on revenues among the regions. Positive effects prevail. Negative effects are mainly caused by labor reductions that follow subsidy inflows. Another cause of negative effects is the soft budget constraints phenomenon.

scholarly journals Analysis of the Effects of High Precipitation in Texas on Rainfed Sorghum Yields

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1920 ◽  
Author(s):  
Sharma ◽  
Kannan ◽  
Cook ◽  
Pokhrel ◽  
McKenzie
Keyword(s):  
Crop Yield ◽  
Missing Values ◽  
Crop Yields ◽  
Principal Component ◽  
Growing Season ◽  
Grain Sorghum ◽  
Extreme Weather Events ◽  
Total Precipitation ◽  
Independent Variables ◽  
Two Parameters

Most of the recent studies on the consequences of extreme weather events on crop yields are focused on droughts and warming climate. The knowledge of the consequences of excess precipitation on the crop yield is lacking. We attempted to fill this gap by estimating reductions in rainfed grain sorghum yields for excess precipitation. The historical grain sorghum yield and corresponding historical precipitation data are collected by county. These data are sorted based on length of the record and missing values and arranged for the period 1973–2003. Grain sorghum growing periods in the different parts of Texas is estimated based on the east-west precipitation gradient, north-south temperature gradient, and typical planting and harvesting dates in Texas. We estimated the growing season total precipitation and maximum 4-day total precipitation for each county growing rainfed grain sorghum. These two parameters were used as independent variables, and crop yields of sorghum was used as the dependent variable. We tried to find the relationships between excess precipitation and decreases in crop yields using both graphical and mathematical relationships. The result were analyzed in four different levels; 1. Storm by storm consequences on the crop yield; 2. Growing season total precipitation and crop yield; 3. Maximum 4-day precipitation and crop yield; and 4. Multiple linear regression of independent variables with and without a principal component analysis (to remove the correlations between independent variables) and the dependent variable. The graphical and mathematical results show decreases in rainfed sorghum yields in Texas for excess precipitation could be between 18% and 38%.

scholarly journals Quantification of the impact of hydrology on agricultural production as a result of too dry, too wet or too saline conditions

2016 ◽  
Author(s):  
M. J. D. Hack-ten Broeke ◽  
J. G. Kroes ◽  
R. P. Bartholomeus ◽  
J. C. van Dam ◽  
A. J. W. de Wit ◽  
...  
Keyword(s):  
The Netherlands ◽  
Crop Yield ◽  
Groundwater Level ◽  
Agricultural Production ◽  
Root Zone ◽  
Crop Growth ◽  
Extreme Weather Events ◽  
Yield Reduction ◽  
Soil Units ◽  
The Impact

Abstract. For calculating the effects of hydrological measures on agricultural production in the Netherlands a new comprehensive and climate proof method is being developed: WaterVision Agriculture (in Dutch: Waterwijzer Landbouw). End users have asked for a method that considers current and future climate, that can quantify the differences between years and also the effects of extreme weather events. Furthermore they would like a method that considers current farm management and that can distinguish three different causes of crop yield reduction: drought, saline conditions or too wet conditions causing oxygen shortage in the root zone. WaterVision Agriculture is based on the hydrological simulation model SWAP and the crop growth model WOFOST. SWAP simulates water transport in the unsaturated zone using meteorological data, boundary conditions (like groundwater level or drainage) and soil parameters. WOFOST simulates crop growth as a function of meteorological conditions and crop parameters. Using the combination of these process-based models we have derived a meta-model, i.e. a set of easily applicable simplified relations for assessing crop growth as a function of soil type and groundwater level. These relations are based on multiple model runs for at least 72 soil units and the possible groundwater regimes in the Netherlands. So far, we parameterized the model for the crops silage maize and grassland. For the assessment, the soil characteristics (soil water retention and hydraulic conductivity) are very important input parameters for all soil layers of these 72 soil units. These 72 soil units cover all soils in the Netherlands. This paper describes (i) the setup and examples of application of the process-based model SWAP-WOFOST, (ii) the development of the simplified relations based on this model and (iii) how WaterVision Agriculture can be used by farmers, regional government, water boards and others to assess crop yield reduction as a function of groundwater characteristics or as a function of the salt concentration in the root zone for the various soil types.

Submission to House of Lords: Inquiry ‘Aspects of the Economics of Climate Change’

2005 ◽  
Vol 16 (3-4) ◽  
pp. 639-647
Author(s):  
Julian Morris
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Agricultural Production ◽  
Technological Progress ◽  
Economic Activities ◽  
Negative Effects ◽  
Weather Events ◽  
House Of Lords ◽  
Vector Borne ◽  
Biodiversity Changes

Some claim that climate change will result in an increase in vector-borne disease, flooding, catastrophic weather events, loss of biodiversity, changes in agricultural production and other problems. Yet these are problems today and are either caused or are exacerbated by poverty. Tackling poverty is likely to be better way to address these problems than attempting to control the climate. Climatic change may turn out to be benign or harmful: We do not know. But in the context of this uncertainty, policies that are narrowly focused on adaptation to possible negative effects are short-sighted and may even be counterproductive. Policies aimed at mitigation through control of atmospheric carbon are almost certainly counterproductive. Adaptive, sustainable development can only come through the adoption of institutions that enable people to engage in economic activities that create wealth and lead to technological progress. Policies that rely on these institutions provide the best way to deal with an uncertain climate future.

scholarly journals Real time implementation of agricultural contingency plans to cope with weather aberrations in Indian agriculture

MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 183-194
Author(s):  
CH. SRINIVASA RAO RAO ◽  
G. RAVINDRA CHARY ◽  
N. RANI ◽  
V. S. BAVISKAR
Keyword(s):  
Real Time ◽  
Extreme Events ◽  
Agricultural Production ◽  
Extreme Weather Events ◽  
Horticultural Crops ◽  
Indian Agriculture ◽  
Weather Events ◽  
Overall Stability ◽  
Droughts And Floods ◽  
Seasonal Droughts

Weather aberrations impact agriculture and allied sectors in one or other parts of the India round the year. Seasonal droughts and extreme weather events in 21st century have caused alarming losses not only in agricultural production but also horticulture, livestock, poultry and fisheries. ICAR-CRIDA, SAUs and DAC, MoA, GoI, prepared more than 580 district level agriculture plans within formation on contingency measures for sustaining higher agriculture production and to cope with extreme events. Real-time contingency planning (RTCP) is being conceptualized and implemented at micro level in farmers’ fields in this country. RTCP implementation during delayed onset of monsoon, seasonal droughts and floods resulted in better crop performance, higher agricultural production, better incomes and overall stability in house-hold livelihoods. In this paper, the real-contingency measures to cope with extreme events for management of horticultural crops, livestock, poultry and fisheries are proposed. Further, the preparedness for RTCP implementation with policy initiatives is also suggested.

scholarly journals Insurance Against Extreme Weather Events: An Overview

2021 ◽  
Vol 72 (2) ◽  
pp. 71-95
Author(s):  
Kati Kraehnert ◽  
Daniel Osberghaus ◽  
Christian Hott ◽  
Lemlem Teklegiorgis Habtemariam ◽  
Frank Wätzold ◽  
...  
Keyword(s):  
Climate Change ◽  
Extreme Weather ◽  
The State ◽  
Extreme Weather Events ◽  
Role Of The State ◽  
Weather Events ◽  
The World ◽  
Negative Side Effects ◽  
State Of Research

Abstract Extreme weather events increasingly threaten the economic situation of households and enterprises around the world. Insurance against extreme weather events is among the climate change adaptation instruments that are currently discussed by the policy community. This overview paper provides a synopsis of the state of research on insurance against extreme weather events, outlining advantages and limitations inherent in three main types of insurance: indemnity-based insurance, index-based insurance, and insurance-linked securities. The paper discusses issues related to insurance uptake, distributional effects, misleading incentives and potentially negative side effects, as well as the role of the state.

scholarly journals Variability of extreme weather events and its impact on crop yield in Bundelkhand Agroclimatic zone of Madhya Pradesh

MAUSAM ◽  
2021 ◽  
Vol 71 (2) ◽  
pp. 275-284
Author(s):  
SRIVASTAVA A K ◽  
YOGRANJAN YOGRANJAN ◽  
BAL LALIT M
Keyword(s):  
Temporal Variation ◽  
Crop Yield ◽  
Extreme Weather ◽  
Madhya Pradesh ◽  
Extreme Weather Events ◽  
Soybean Yield ◽  
Agroclimatic Zone ◽  
Weather Events ◽  
Micro Level ◽  
Rainy Days

The Bundelkhand Agroclimatic Zone of Madhya Pradesh has witnessed many extreme weather events in recent decades like excessive hotness, dryness, coldness and number of consecutive drought years. Drought and water scarcity are the major resource limiting factors of this zone. There was sharp increase in numbers of hot days during last decade (2001-10) in Chhatarpur and Datia districts. The numbers of heavy rainfall days sharply decreased at Tikamgarh and Chhatarpur districts while frost days increased in Datia during last decade. The micro level variability of drought was much higher than the temporal scale variability. The occurrence of drought at micro level in the recent decade was much higher. The frequent occurrence of drought during recent past had increased the soybean and paddy yield variability in this zone. This paper attempts to present impact of variability of extreme weather events on paddy and soybean yield and also rural livelihood. The paddy and soybean yield were normally affected by number of heavy rainy days and number of rainy days. The number of heavy rainy days greater than equal to 6 days in Tikamgarh, 7 days in Chhatarpur per year were may be required for sustainable paddy production. It is observed that in those districts where the temporal variation in number of rainy days is decreasing, the decrease in number of rainy days below 5 days per year was crucial for sustainable yield. Whereas in the districts where little temporal variation in number of rainy days observed, a particular number of heavy rainy days is not necessary for adequate crop yield. In Datia and Chhatarpur district, the animal discomfort days increased over the decades.

scholarly journals Reinspecting the Climate-Crop Yields Relationship at a Finer Scale and the Climate Damage Evaluation: Evidence from China

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yongbin Zhu ◽  
Yajuan Shi ◽  
Changxin Liu ◽  
Bing Lyu ◽  
Zhenbo Wang
Keyword(s):  
Winter Wheat ◽  
Crop Yield ◽  
Spring Wheat ◽  
Crop Yields ◽  
Growth Stages ◽  
Climate Variables ◽  
Negative Effects ◽  
Summer Maize ◽  
Climate Effects ◽  
Positive Effects

This paper reinvestigated the climate-crop yield relationship with the statistical model at crops’ growing stage scale. Compared to previous studies, our model introduced monthly climate variables in the production function of crops, which enables separating the yield changes induced by climate change and those caused by inputs variation and technique progress, as well as examining different climate effects during each growing stage of crops. By applying the fixed effect regression model with province-level panel data of crop yields, agricultural inputs, and the monthly climate variables of temperature and precipitation from 1985 to 2015, we found that the effects of temperature generally are negative and those of precipitation generally are positive, but they vary among different growth stages for each crop. Specifically, GDDs (i.e., growing degree days) have negative effects on spring maize’s yield except for the sowing and ripening stages; the effects of precipitation are negative in September for summer maize. Precipitation in December and the next April is significantly harmful to the yield of winter wheat; while, for the spring wheat, GDDs have positive effects during April and May, and precipitation has negative effects during the ripening period. In addition, we computed climate-induced losses based on the climate-crop yield relationship, which demonstrated a strong tendency for increasing yield losses for all crops, with large interannual fluctuations. Comparatively, the long-term climate effects on yields of spring maize, summer maize, and spring wheat are more noticeable than those of winter wheat.

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