scholarly journals Influence of carbonised biomass on soil improvement, increase in yield of agricultural crops and mitigation of climate change implications

2021 ◽  
Vol 24 (1) ◽  
pp. 93-100
Author(s):  
Hanna Didkivska ◽  
Zosya Masliukova ◽  
Yevheniia Novytska
Keyword(s):  
Climate Change ◽  
Crop Yields ◽  
Negative Impact ◽  
Soil Improvement ◽  
Industrial Sector ◽  
Agricultural Technologies ◽  
Environmental Consequences ◽  
The Impact ◽  
Further Development

The relevance of the study is conditioned by the need to develop and implement new technological solutions for tillage, which will improve the soil properties. The purpose of this study is to assess the impact of carbonised biomass on the properties and quality of soils, as well as the associated environmental consequences. The tasks addressed by the study were solved with the help of scientific theoretical methods: analysis, systematisation and generalisation of results. The scientific works related to the problem of the influence of carbonised biomass on soil quality were analysed in this paper. An assessment of the effectiveness of its use as an organic ameliorant and its effect on improving the agronomic properties of soils, their fertility, and on the ecological situation has been carried out. It is substantiated that the use of obsolete agricultural technologies during agricultural activities and their violation have a negative impact on soil fertility and increase in greenhouse gases in the atmosphere. It is argued that this could lead to a global food crisis. It has been emphasised that due to the use of biochar as an organic ameliorant the physical and microbiological properties of soils are improved, the availability of nutrients is optimised, and the content of toxic elements is reduced. It is shown that carbonised biomass has a positive effect on yields and also helps to reduce greenhouse gas emissions into the atmosphere. The main current problems that exist in Ukraine regarding the use of soil improvement technology with the help of carbonised biomass are identified. The ways of their solution for the further development of these technologies and their implementation in the agro-industrial sector are proposed. The practical value of the study consists in determining the effectiveness of using carbonised biomass when it is introduced into the soil to improve its quality, increase crop yields, and slow down climate change

scholarly journals Modeling the Impact of Climate Changes on Crop Yield: Irrigated vs. Non-Irrigated Zones in Mississippi

2021 ◽  
Vol 13 (12) ◽  
pp. 2249
Author(s):  
Sadia Alam Shammi ◽  
Qingmin Meng
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Crop Yields ◽  
Negative Impact ◽  
Positive Impact ◽  
Information Criterion ◽  
Growing Season ◽  
Maximum Temperature ◽  
Linear Regression Models ◽  
The Impact

Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods. In this study, we used linear regression models to assess the impact of climate on crop yield spatially and temporally by managing irrigated and non-irrigated crop fields. The climate data used in this study are Tmax (maximum temperature), Tmean (mean temperature), Tmin (minimum temperature), precipitation, and soybean annual yields, at county scale for Mississippi, USA, from 1980 to 2019. We fit a series of linear models that were evaluated based on statistical measurements of adjusted R-square, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). According to the statistical model evaluation, the 1980–1992 model Y[Tmax,Tmin,Precipitation]92i (BIC = 120.2) for irrigated zones and the 1993–2002 model Y[Tmax,Tmean,Precipitation]02ni (BIC = 1128.9) for non-irrigated zones showed the best fit for the 10-year period of climatic impacts on crop yields. These models showed about 2 to 7% significant negative impact of Tmax increase on the crop yield for irrigated and non-irrigated regions. Besides, the models for different agricultural districts also explained the changes of Tmax, Tmean, Tmin, and precipitation in the irrigated (adjusted R-square: 13–28%) and non-irrigated zones (adjusted R-square: 8–73%). About 2–10% negative impact of Tmax was estimated across different agricultural districts, whereas about −2 to +17% impacts of precipitation were observed for different districts. The modeling of 40-year periods of the whole state of Mississippi estimated a negative impact of Tmax (about 2.7 to 8.34%) but a positive impact of Tmean (+8.9%) on crop yield during the crop growing season, for both irrigated and non-irrigated regions. Overall, we assessed that crop yields were negatively affected (about 2–8%) by the increase of Tmax during the growing season, for both irrigated and non-irrigated zones. Both positive and negative impacts on crop yields were observed for the increases of Tmean, Tmin, and precipitation, respectively, for irrigated and non-irrigated zones. This study showed the pattern and extent of Tmax, Tmean, Tmin, and precipitation and their impacts on soybean yield at local and regional scales. The methods and the models proposed in this study could be helpful to quantify the climate change impacts on crop yields by considering irrigation conditions for different regions and periods.

THE POTENTIAL IMPACT OF CLIMATE CHANGE ON AGRICULTURE IN WEST AFRICA: A BIO-ECONOMIC MODELING APPROACH

2019 ◽  
Vol 10 (04) ◽  
pp. 1950015
Author(s):  
BORIS O. K. LOKONON ◽  
AKLESSO Y. G. EGBENDEWE ◽  
NAGA COULIBALY ◽  
CALVIN ATEWAMBA
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Crop Production ◽  
Crop Yields ◽  
Negative Impact ◽  
Economic Modeling ◽  
Climate Conditions ◽  
Impact Of Climate Change ◽  
Potential Impact ◽  
The Impact

This paper investigates the impact of climate change on agriculture in the Economic Community of West African States (ECOWAS). To that end, a bio-economic model is built and calibrated on 2004 base year dataset and the potential impact is evaluated on land use and crop production under two representative concentration pathways coupled with three socio-economic scenarios. The findings suggest that land use change may depend on crop types and prevailing future conditions. As of crop production, the results show that paddy rice, oilseeds, sugarcane, cocoa, coffee, and sesame production could experience a decline under both moderate and harsh climate conditions in most cases. Also, doubling crop yields by 2050 could overall mitigate the negative impact of moderate climate change. The magnitude and the direction of the impacts may vary in space and time.

scholarly journals Impact of climate change on food yield in Senegal: FAVAR approach

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Mamadou Abdoulaye KONTE ◽  
Gnalenba ABLOUKA ◽  
Paoli BEHANZIN
Keyword(s):  
Climate Change ◽  
Thermal Shock ◽  
Crop Yields ◽  
Negative Impact ◽  
Positive Impact ◽  
Estimation Method ◽  
Maize Yield ◽  
Impact Of Climate Change ◽  
Rainfall Shock ◽  
The Impact

The main objective of this research is to evaluate the impact of climate change on food crop yields in Senegal using the Factor Augmented Vector Auto Regression (FAVAR) approach. The estimation method used is principal components analysis. We identified two major shocks representative of climate change. The first is an increase of temperature (thermal shock) and the second is a decrease in the quantity of precipitation (rainfall shock). The data covers the period 1970-2014 and each of the shocks is carried out over the prior year. The impact of each shock is observed along a time horizon of 10 years. The results show a positive impact of the thermal shock on the yields of rice, maize and millet, with a much greater impact on rice and maize yield. Rising temperatures are, however, detrimental to sorghum. A decline in rainfall has a negative impact on the yields of all cereals, which is in line with expectations.

scholarly journals The impact of future climate change on West African crop yields: What does the recent literature say?

2018 ◽  
Author(s):  
Philippe Roudier ◽  
Benjamin Sultan ◽  
Philippe Quirion ◽  
Alexis Berg
Keyword(s):  
Climate Change ◽  
West Africa ◽  
Yield Loss ◽  
Crop Yields ◽  
Negative Impact ◽  
Future Climate Change ◽  
Climate Projections ◽  
Median Response ◽  
Impact Of Climate Change ◽  
The Impact

Symposium on Social Theory and the Environment in the New World (dis)Order ; International audience ; In West Africa, agriculture, mainly rainfed, is a major economic sector and the one most vulnerable to climate change. A meta-database of future crop yields, built up from 16 recent studies, is used to provide an overall assessment of the potential impact of climate change on yields, and to analyze sources of uncertainty. Despite a large dispersion of yield changes ranging from -50% to +90%, the median is a yield loss near -11%. This negative impact is assessed by both empirical and process-based crop models whereas the Ricardian approach gives very contrasted results, even within a single study. The predicted impact is larger in northern West Africa (Sudano-Sahelian countries, -18% median response) than in southern West Africa (Guinean countries, -13%) which is likely due to drier and warmer projections in the northern part of West Africa. Moreover, negative impacts on crop productivity increase in severity as warming intensifies, with a median yield loss near -15% with most intense warming, highlighting the importance of global warming mitigation. The consistently negative impact of climate change results mainly from the temperature whose increase projected by climate models is much larger relative to precipitation change. However, rainfall changes, still uncertain in climate projections, have the potential to exacerbate or mitigate this impact depending on whether rainfall decreases or increases. Finally, results highlight the pivotal role that the carbon fertilization effect may have on the sign and amplitude of change in crop yields. This effect is particularly strong for a high carbon dioxide concentration scenario and for C3 crops (e.g. soybean, cassava). As staple crops are mainly C4 (e.g. maize, millet, sorghum) in WA, this positive effect is less significant for the region. (C) 2011 Elsevier Ltd. All rights reserved.

Green Beans Cultivation Using Mice Pets Control to Improve the Quality of Bintaro Fruit Extract

2018 ◽  
Vol 1 (1) ◽  
pp. 38
Author(s):  
Ajeng Embri Legawati ◽  
Nur Azizah ◽  
Achmad Ramadhan
Keyword(s):  
Natural Resources ◽  
Negative Impact ◽  
Green Beans ◽  
Fruit Extract ◽  
Bean Plants ◽  
Cultivation Technology ◽  
Environmental Balance ◽  
The Impact ◽  
Chemical Pesticides

Green beans cultivation technology using mice pets control has been implemented in the Gluranploso village, Benjeng Gresik. The implementation of the technology performed for 2.5 months from August to October 2017. The purpose of the implementation is aimed to reduce the dependence of farmers on the use of chemical pesticides so that the farmers are aware of the negative impact of chemical pesticides. Assessing the impact of the utilization of Bintaro fruit and fruit extracts to explore ways of making Bintaro as a natural biopesticide to overcome rat attack on green bean plants in the Gluranploso village. Pest control mice can reduce the rate of loss of the crops more effectively and efficiently. Finally, with the use of those natural resources as a biopesticide material can also maintain the environmental balance

HOW CLIMATE CHANGE CAN INFLUENCE THE AGRICULTURE IN UKRAINE: A REVIEW

2020 ◽  
Author(s):  
N. Maidanovych ◽  
Keyword(s):  
Climate Change ◽  
Crop Yields ◽  
Soil Surface ◽  
Winter Period ◽  
Negative Consequences ◽  
Resource Saving ◽  
Impact Of Climate Change ◽  
Positive Effects ◽  
Average Annual Temperature ◽  
The Impact

The purpose of this work is to review and analyze the main results of modern research on the impact of climate change on the agro-sphere of Ukraine. Results. Analysis of research has shown that the effects of climate change on the agro-sphere are already being felt today and will continue in the future. The observed climate changes in recent decades have already significantly affected the shift in the northern direction of all agro-climatic zones of Europe, including Ukraine. From the point of view of productivity of the agro-sphere of Ukraine, climate change will have both positive and negative consequences. The positives include: improving the conditions of formation and reducing the harvesting time of crop yields; the possibility of effective introduction of late varieties (hybrids), which require more thermal resources; improving the conditions for overwintering crops; increase the efficiency of fertilizer application. Model estimates of the impact of climate change on wheat yields in Ukraine mainly indicate the positive effects of global warming on yields in the medium term, but with an increase in the average annual temperature by 2 ° C above normal, grain yields are expected to decrease. The negative consequences of the impact of climate change on the agrosphere include: increased drought during the growing season; acceleration of humus decomposition in soils; deterioration of soil moisture in the southern regions; deterioration of grain quality and failure to ensure full vernalization of grain; increase in the number of pests, the spread of pathogens of plants and weeds due to favorable conditions for their overwintering; increase in wind and water erosion of the soil caused by an increase in droughts and extreme rainfall; increasing risks of freezing of winter crops due to lack of stable snow cover. Conclusions. Resource-saving agricultural technologies are of particular importance in the context of climate change. They include technologies such as no-till, strip-till, ridge-till, which make it possible to partially store and accumulate mulch on the soil surface, reduce the speed of the surface layer of air and contribute to better preservation of moisture accumulated during the autumn-winter period. And in determining the most effective ways and mechanisms to reduce weather risks for Ukrainian farmers, it is necessary to take into account the world practice of climate-smart technologies.

scholarly journals Assessing the Sensitivity of Main Crop Yields to Climate Change Impacts in China

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 172
Author(s):  
Yuan Xu ◽  
Jieming Chou ◽  
Fan Yang ◽  
Mingyang Sun ◽  
Weixing Zhao ◽  
...  
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Food Production ◽  
Crop Yields ◽  
Climatic Factors ◽  
Climatic Data ◽  
The South ◽  
The North ◽  
Output Elasticity ◽  
The Impact

Quantitatively assessing the spatial divergence of the sensitivity of crop yield to climate change is of great significance for reducing the climate change risk to food production. We use socio-economic and climatic data from 1981 to 2015 to examine how climate variability led to variation in yield, as simulated by an economy–climate model (C-D-C). The sensitivity of crop yield to the impact of climate change refers to the change in yield caused by changing climatic factors under the condition of constant non-climatic factors. An ‘output elasticity of comprehensive climate factor (CCF)’ approach determines the sensitivity, using the yields per hectare for grain, rice, wheat and maize in China’s main grain-producing areas as a case study. The results show that the CCF has a negative trend at a rate of −0.84/(10a) in the North region, while a positive trend of 0.79/(10a) is observed for the South region. Climate change promotes the ensemble increase in yields, and the contribution of agricultural labor force and total mechanical power to yields are greater, indicating that the yield in major grain-producing areas mainly depends on labor resources and the level of mechanization. However, the sensitivities to climate change of different crop yields to climate change present obvious regional differences: the sensitivity to climate change of the yield per hectare for maize in the North region was stronger than that in the South region. Therefore, the increase in the yield per hectare for maize in the North region due to the positive impacts of climate change was greater than that in the South region. In contrast, the sensitivity to climate change of the yield per hectare for rice in the South region was stronger than that in the North region. Furthermore, the sensitivity to climate change of maize per hectare yield was stronger than that of rice and wheat in the North region, and that of rice was the highest of the three crop yields in the South region. Finally, the economy–climate sensitivity zones of different crops were determined by the output elasticity of the CCF to help adapt to climate change and prevent food production risks.

scholarly journals COVID-19 Pandemic and Quality of Life among Romanian Athletes

2021 ◽  
Vol 18 (8) ◽  
pp. 4065
Author(s):  
Germina-Alina Cosma ◽  
Alina Chiracu ◽  
Amalia Raluca Stepan ◽  
Marian Alexandru Cosma ◽  
Marian Costin Nanu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Trait Anxiety ◽  
Negative Impact ◽  
Well Being ◽  
Quality Of Life Scale ◽  
Life Scale ◽  
Personality Item ◽  
The Impact ◽  
The Relationship

The aim of this study was to analyze athletes’ quality of life during the COVID-19 pandemic. The study involved 249 athletes between 15 and 35 of age, M = 21.22, SD = 5.12. The sample was composed of eight Olympic Games medalists, three European medalists, 67 international medalists, and 63 national medalists. The instruments used were: (1) COVID-19 Anxiety Scale, (2) Athlete Quality of Life Scale, (3) Impact of Pandemic on Athletes Questionnaire, and (4) International Personality Item Pool (IPIP Anxiety, Depression, and Vulnerability Scales). The results indicate significant differences in COVID-19 anxiety depending on the sport practiced, F (9239) = 3.81, p < 0.01, showing that there were significant differences between sports. The negative impact of the COVID-19 pandemic mediates the relationship between trait anxiety and the athletes’ quality of life. The percentage of mediation was 33.9%, and the indirect effect was −0.11, CI 95% (−0.18, −0.03), Z = −2.82, p < 0.01. Trait anxiety has an increasing effect on the intensity of the negative impact of the COVID-19 pandemic, 0.23, CI 95% (.10, 0.35), Z = 3.56, p < 0.01, and the negative impact of the COVID-19 pandemic has a decreasing effect on quality of life, −0.47, CI 95% (−0.67, −0.27), Z = −4.62, p < 0.01. Gender and age did not moderate the relationship between the negative impact of COVID-19 and athletes’ quality of life. The results of the study highlighted the impact that social isolation and quarantine have on athletes’ affective well-being.

scholarly journals Threat or Corrective? Assessing the Impact of Populist Parties in Government on the Qualities of Democracy: A 19-Country Comparison

2021 ◽  
pp. 1-21
Author(s):  
Davide Vittori
Keyword(s):  
Negative Impact ◽  
Quality Of Democracy ◽  
Clear Cut ◽  
Liberal Democratic ◽  
Country Comparison ◽  
Democratic Regimes ◽  
Different Types ◽  
The Impact

Abstract Scholars have long debated whether populism harms or improves the quality of democracy. This article contributes to this debate by focusing on the impact of populist parties in government. In particular, it inquires: (1) whether populists in government are more likely than non-populists to negatively affect the quality of democracies; (2) whether the role of populists in government matters; and (3) which type of populism is expected to negatively affect the quality of liberal-democratic regimes. The results find strong evidence that the role of populists in government affects several qualities of democracy. While robust, the findings related to (2) are less clear-cut than those pertaining to (1). Finally, regardless of their role in government, different types of populism have different impacts on the qualities of democracy. The results show that exclusionary populist parties in government tend to have more of a negative impact than other forms of populism.

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