scholarly journals Managing impact of extreme weather events in sugarcane in different agro-climatic zones of Uttar Pradesh

MAUSAM ◽  
2021 ◽  
Vol 67 (1) ◽  
pp. 233-250
Author(s):  
R. K. MALL ◽  
G. SONKAR ◽  
D. BHATT ◽  
N. K. SHARMA ◽  
A. K. BAXLA ◽  
...  

Sugarcane is a cash crop in Uttar Pradesh; economic condition of the farmers is highly dependent on sugarcane production. However, average yield of the state has gone up from 39.5 t/ha (1950-51) to 59.2 t/ha (2009-10), was observed associated with fluctuating weather conditions, whereas other major sugar producing area in India have average yield of 70 t/ha. The result of the above study showed that there was an average rising trend in the annual minimum temperature (0.03° Cyr-1) over all the agro-climatic zones of the state. Out of nine agro-climatic zones, four zones namely South Western Zone, Central Plain Zone, Western Plain Zone and Eastern Plain zone, which were marked by decreasing annual rainfall trend. However, Vindhyan Zone, Mid Western Zone and Bhabhar and Tarai Zone show rising trend. To explain better relation between cane yield and weather parameters this study also show that maximum, minimum temperature and moisture plays the most important role during germination, tillering, grand growth and ripening phases of the sugarcane. Considering extreme weather, we found that temperature below 25 °C, above 35 °C and 40 °C are slowing down the growth and finally reducing the final yield. It is also noticed that temperature and rainfall extremes had high possibility of governing sugarcane yields but there were also quite a number of instances wherein the extremes couldn’t be reasoned directly for the yield fluctuations. Therefore, to sustain the productivity, this study recommends the improvements of the adoptive responses of varieties, management of the risk associated with extreme weather events by providing weather linked value-added advisory services to the farmers and crop insurance agencies.

2021 ◽  
Vol 72 (2) ◽  
pp. 71-95
Author(s):  
Kati Kraehnert ◽  
Daniel Osberghaus ◽  
Christian Hott ◽  
Lemlem Teklegiorgis Habtemariam ◽  
Frank Wätzold ◽  
...  

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.


The study was conducted in Sirsa, Hisar and Rewari districts from Western Zone of the State during the year 2017-18. Data related to rainfall and temperatures were collected from department of agro-meteorology, CCSHAU, Hisar, whereas data related to area, production and productivity of major crops like paddy, cotton, pearl millet, wheat and mustard were recorded from various issues of statistical abstract of Haryana. The results of the study revealed that linear trend was observed in minimum and maximum temperature, whereas, in case of annual rainfall, non-linear trend was found in both Kharif as well as Rabi seasons in during the 2006-07 to 2015-16. The rise in maximum temperature was positive and significant effect on paddy crop yield whereas, it was significantly negative impact on pearl millet yield but in case of cotton, it was negative but non-significant effect on cotton yield. On the other side, rise in minimum temperature was positive but non-significant effect on productivity of paddy as well as pearl millet. Rainfall coefficient was observed significantly positive impact on pearl millet crop productivity whereas; it was negative but non-significant affect the productivity of paddy and cotton. Rainfall coefficient was observed significantly positive impact on pearl millet productivity whereas; it was negative but non-significant effect on the productivity of paddy and cotton in Hisar, Sirsa and Rewari districts of western zone of the state. The rise in maximum temperature was significantly negative effect on wheat crop yield whereas, it was negative but non-significant impact on mustard yield. On the other side, rise in minimum temperature was negative but non-significant effect on productivity of wheat as well as mustard. The rainfall coefficient was observed significantly positive impact on productivity of wheat and mustard in Western Zone of the state.


2018 ◽  
Vol 96 ◽  
pp. 47-53 ◽  
Author(s):  
C. Pathmeswaran ◽  
E. Lokupitiya ◽  
K.P. Waidyarathne ◽  
R.S. Lokupitiya

2016 ◽  
Vol 9 (5) ◽  
Author(s):  
Ana Paula Paes dos Santos ◽  
Osmar Pinto Júnior ◽  
Everaldo Barreiros de Souza ◽  
Rodrigo Azambuja ◽  
Francisco José Lopes de Lima ◽  
...  

Author(s):  
Alasdair Roberts

This chapter identifies several factors that typically influence governance strategies. The first two are aspects of nature: geography and climate. For example, geography determines the vulnerability of a state to attack by other states as well as the manner in which that state must be defended. The expanse and contours of land and water also influences the capacity of a state to assert control within its borders, and it shapes decisions about centralization or decentralization of governmental authority. Similarly, the ability of states to stoke economic growth or exercise influence abroad hinges on their endowment of natural resources. Climate also affects prospects for economic growth as well as patterns of disease and susceptibility to extreme weather events. A second factor is the profile of the population within the territory controlled by the state. A third factor is the structure of the economy. A fourth factor is the inventory of available technologies, including physical technologies such as those used to capture, distribute, and convert energy. A final factor is the distribution of power within the society of states.


2021 ◽  
Vol 2 (2) ◽  
pp. 164-171
Author(s):  
Mónika Lakatos ◽  
Zita Bihari ◽  
Beatrix Izsák ◽  
Olivér Szentes

Összefoglaló. A WMO 2021 elején kiadott állapotértékelője szerint a COVID–19 miatti korlátozások ellenére az üvegházhatású gázok légköri koncentrációja tovább emelkedett. A tengerszint emelkedés a közelmúltban gyorsult, rekordmagas volt a jégvesztés Grönlandon, az Antarktisz olvadása is gyorsulni látszik. Szélsőséges időjárás pusztított, élelmiszer-ellátási gondok léptek fel, és 2020-ban a COVID–19 hatásával együtt nőtt a biztonsági kockázat több régióban is. Az éghajlatváltozás felerősíti a meglévő kockázatokat, és újabb kockázatok is fellépnek majd a természeti és az ember által alkotott rendszerekben. Az éghajlatváltozás hatása a hazai mérési sorokban is megjelenik. Az Országos Meteorológiai Szolgálat (OMSZ) homogenizált, ellenőrzött mérései szerint 1901 óta 1,2 °C-ot nőtt az évi középhőmérséklet. Két normál időszakot vizsgálva egyértelmű a magasabb hőmérsékletek felé tolódás, a csapadék éven belüli eloszlása megváltozott, az őszi másodmaximum eltűnőben van. Nőtt az aszályhajlam, gyakoribbá váltak a hőhullámok, intenzívebb a csapadékhullás, emiatt az éghajlatvédelemi intézkedések mellett a jól megalapozott alkalmazkodás is indokolt. A biztonsági kockázatok csökkenthetők az OMSZ és Országos Katasztrófavédelmi Főigazgatóság közötti együttműködés által. Summary. The first part of the article gives an overview of the state of the global climate in 2020 based on the report compiled by the World Meteorological Organization (WMO, 2021) and network of partners from UN. According to this report, the 2020 was one of the three warmest years on record, despite a cooling La Niña event. The global mean temperature for 2020 (January to October) was 1.2 ± 0.1 °C above the 1850–1900 baseline, used as an approximation of pre-industrial levels. The latest six years have been the warmest on record. 2011-2020 was the warmest decade on record. The report on the “State of the Global Climate 2020” illustrates the state of the key indicators of the climate system, including greenhouse gas concentrations, increasing land and ocean temperatures, sea level rise, melting ice and glacier and extreme weather. It also highlights impacts on socio-economic development, migration and displacement and food security. All key climate indicators and associated impact information published in this report highlight continuing climate change, an increasing occurrence and intensification of extreme events, and severe losses and damage, affecting people, societies and economies. Extreme weather events triggered an estimated 10 000 000 displacements in 2020. Because of COVID-19 lockdowns, response and recovery operations were leading to delays in providing assistance. After decades of decline, the increase in food insecurity since 2014 is being driven by conflict and economic slowdown as well as climate variability and extreme weather events. Climate change will amplify existing risks and create new risks for natural and human systems. Risks are unevenly distributed and are generally greater for disadvantaged people and communities in countries at all levels of development. The global changes have local effects in Hungary as it is shown in the second part of the article. The climate monitoring at the Hungarian Meteorological Service is based on measurements stored in the Climate data archive. We apply data management tools to produce high quality and representative datasets to prepare climate studies. The data homogenization makes possible to eliminate inhomogeneities due to change in the measuring practice and station movements. Applying spatial interpolation procedure for meteorological data provide the spatial representativeness of the climate data used for monitoring. The surface temperature increase is slightly higher in Hungary than the global change from 1901. The annual precipitation decreased by 3% from 1901, although this change is not significant statistically. The monthly temperatures shifted to warmer monthly averages in the most recent normal period between 1991 and 2020 comparing to the 1961–1990 in each months. The annual course of the monthly precipitations changed, especially autumn. The monthly sum in September and in October increased substantially. The frequency of heatwave days increased by more than two weeks in the Little Plain and in the southern part of the Great Hungarian Plain from 1981, which is the most intense warming period globally. The intensification of the precipitation in the recent years is obvious in our region. The cooperation of the Disaster Risk Management and the Hungarian Meteorological Service could expand the adaptive capacity of the society to climate change.


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