scholarly journals The climate change influences and trends on the grapevine growing in Southern Romania: A long-term study

2019 ◽  
Vol 15 ◽  
pp. 01008
Author(s):  
G.M. Bucur ◽  
G.A. Cojocaru ◽  
A.O. Antoce
Keyword(s):  
Climate Change ◽  
Climate Changes ◽  
Growing Season ◽  
Maximum Temperature ◽  
Reference Period ◽  
Temperature Dependent ◽  
Climatic Indices ◽  
Grape Quality ◽  
Average Maximum ◽  
Average Maximum Temperature

The topography and pedoclimatic conditions in Romania are diverse and in many places highly favourable for viticulture. In the past 21 years it was observed that the climate slowly changed, with a visible impact on grape quality. The influence of climate change on grape growing depends however on the vineyard location, relief and soil, multiple combination of varieties and rootstocks, water supply, as well as viticultural practices. The influence of the climate change was studied during a long period of time, between 1998 and 2018, in our experimental vineyard at UASVM Bucharest (N Lat.: 44∘47′07′′; E Long.: 26∘076′28′′; elevation 87 m), located in the Southern part of Romania. The observations made during last twenty one years on qualitative and quantitative parameters of the most widespread Romanian grape variety, Fetească regală grafted on the Kober 5 BB rootstock, along with the calculated values for the usual climatic indices describing viticultural climate, showed some significant climate changes in comparison with a reference period between 1961 and 1997 taken from the existent scientific literature. Our observations during past twenty years reveal a trend of increase in all studied temperature-dependent climatic indices during the grape growing season, with a large variation in the absolute minimum temperatures during winter, which suggests a shift towards an increased thermal amplitude between summer and winter temperatures in certain years. Compared with the reference period (1961–1997), an increase in the following temperature-dependent indices was observed: +0.75 ∘C for the average annual temperature; +0.78 ∘C for average temperature in the growing season; +2.37 ∘C for average maximum temperature in the warmest month; +2.11 ∘C for average maximum temperature in the summer; +234 units in Huglin index; + 173 units in Winkler index and +0.35 ∘C in Cool night index. These climate changes bring important variations of grape yield due to the minimum temperatures during winter and significant reduction of total acidity, along with a significant increase of sugar concentration. This study aids to understand and anticipate the rate of climate change in Southern Romania, the extent of the changes in grape quality and the interventions required to maintain constant grape and wine quality.

scholarly journals Sensitivity of wheat yields to rise in growing season temperature: Evidences from panel data analysis

2021 ◽  
Vol 22 (2) ◽  
pp. 191-197
Author(s):  
K. PHILIP ◽  
S.S. ASHA DEVI ◽  
G.K. JHA ◽  
B.M.K. RAJU ◽  
B. SEN ◽  
...  
Keyword(s):  
Climate Change ◽  
Panel Data ◽  
Growing Season ◽  
Maximum Temperature ◽  
Data Set ◽  
Impact Of Climate Change ◽  
Average Maximum ◽  
Wide Range ◽  
Potential Impact ◽  
The Impact

The impact of climate change on agriculture is well studied yet there is scope for improvement as crop specific and location specific impacts need to be assessed realistically to frame adaptation and mitigation strategies to lessen the adverse effects of climate change. Many researchers have tried to estimate potential impact of climate change on wheat yields using indirect crop simulation modeling techniques. Here, this study estimated the potential impact of climate change on wheat yields using a crop specific panel data set from 1981 to 2010,for six major wheat producing states. The study revealed that 1°C increase in average maximum temperature during the growing season reduces wheat yield by 3 percent. Major share of wheat growth and yield (79%) is attributed to increase in usage of physical inputs specifically fertilizers, machine labour and human labour. The estimated impact was lesser than previously reported studies due to the inclusion of wide range of short-term adaptation strategies to climate change. The results reiterate the necessity of including confluent factors like physical inputs while investigating the impact of climate factors on crop yields.

scholarly journals A Consistent Methodology to Evaluate Temperature and Heat Wave Future Projections for Cities: A Case Study for Lisbon

2020 ◽  
Vol 10 (3) ◽  
pp. 1149 ◽  
Author(s):  
Alfredo Rocha ◽  
Susana C. Pereira ◽  
Carolina Viceto ◽  
Rui Silva ◽  
Jorge Neto ◽  
...  
Keyword(s):  
Climate Change ◽  
Heat Wave ◽  
Heat Waves ◽  
Maximum Temperature ◽  
Present Climate ◽  
Average Maximum ◽  
Recent Climate ◽  
Average Maximum Temperature ◽  
Accumulated Temperature

Heat waves are large-scale atmospheric phenomena that may cause heat stress in ecosystems and socio-economic activities. In cities, morbidity and mortality may increase during a heat wave, overloading health and emergency services. In the face of climate change and associated warming, cities need to adapt and mitigate the effects of heat waves. This study suggests a new method to evaluate heat waves’ impacts on cities by considering some aspects of heat waves that are not usually considered in other similar studies. The method devises heat wave quantities that are easy to calculate; it is relevant to assessing their impacts and permits the development of adaptation measures. This study applies the suggested method to quantify various aspects of heat waves in Lisbon for future climate projections considering future mid-term (2046–2065) and long-term (2081–2100) climates under the RCP8.5 greenhouse emission scenario. This is achieved through the analysis of various regional climate simulations performed with the WRF model and an ensemble of EURO-CORDEX models. This allows an estimation of uncertainty and confidence of the projections. To evaluate the climate change properties of heat waves, statistics for future climates are compared to those for a reference recent climate. Simulated temperatures are first bias corrected to minimize the model systematic errors relative to observations. The temperature for mid and long-term futures is expected to increase relative to the present by 1.6 °C and 3.6 °C, respectively, with late summer months registering the highest increases. The number of heat wave days per year will increase on average from 10, in the present climate, to 38 and 63 in mid and long-term climates, respectively. Heat wave duration, intensity, average maximum temperature, and accumulated temperature during a heat wave will also increase. Heat waves account for an annual average of accumulated temperature of 358 °C·day in the present climate, while in the mid and long-term, future climates account for 1270 °C·day and 2078 °C·day, respectively. The largest increases are expected to occur from July to October. Extreme intensity and long-duration heat waves with an average maximum temperature of more than 40 °C are expected to occur in the future climates.

scholarly journals Temperature Changes in Kaski District of Nepal: A Study of Trends (1970-2018)

2019 ◽  
Vol 2 ◽  
pp. 42-53
Author(s):  
Rajendra Prasad Upadhayaya
Keyword(s):  
Climate Change ◽  
Kendall Test ◽  
Rate Of Change ◽  
Temperature Trend ◽  
Maximum Temperature ◽  
Economic Sectors ◽  
Temperature Trends ◽  
Average Maximum ◽  
Average Maximum Temperature ◽  
Maximum Temperatures

Climate change is one of the most complex and crucial issues in the world. It has impacted environmental, social, and economic sectors of our planet. Unsurprisingly, Nepal is not immune to climate change. In fact, it is one of the most susceptible countries to climate change. One of the most impacted variables in Nepal due to climate change is the maximum temperature. The rate of change of temperature per year, in Nepal is ever-increasing. This paper examines the temperature trend and how it has affected environmental, social, and economic sustainability of Kaski District in Nepal. The paper utilizes the maximum temperature trend of Kaski District during 1970-2018. The monthly minimum and maximum temperatures are obtained from the Department of Hydrology and Meteorology (DHM). The study is done based on the data obtained from Pokhara Airport and Lumle stations. The paper uses three statistical tools alongside descriptive statistics to analyze the data. First, the Man-Kendall test is used to figure out the trend of temperature. Second, Sen’s slope is used to find the magnitude of a trend. Third, the Time series model has been used for forecasting temperature trends. Finally, SPSS and R software were used to calculate the results. The trend of maximum temperature has been significantly increased in Kaski District. The maximum temperature in Kaski during 1970-2018, recorded, was 24.99°C in 2005 and was closely followed by 24.66°C temperature in 2010. The average maximum temperature during the 1970-2018 period was 23.49°C. The maximum variation of maximum temperature during 1970-2018 was in 1992 with a standard deviation of 5.94°C. The minimum temperature during 1970-2018 was 21.12°C in 1978 and was closely followed by 22.19°C in 1997. There is an increasing trend of maximum temperature in Kaski District. In addition, the trend of maximum temperature is higher and faster after 1998 in Kaski District of Western Nepal during 1970-2018.

scholarly journals Perspective Response of Climate Change Impacts on Agricultural Crops in Sauraha-Pharsatikar VDC, Rupandehi District, Nepal

2017 ◽  
Vol 5 (3) ◽  
pp. 345-355
Author(s):  
Kapil Khanal ◽  
Subodh Khanal ◽  
Surya Mani Dhungana
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Household Survey ◽  
Maximum Temperature ◽  
Cereal Crops ◽  
Agricultural Crops ◽  
Farming Communities ◽  
Average Maximum ◽  
Average Maximum Temperature ◽  
Average Minimum Temperature

A survey research was conducted in Sauraha-Pharsatikar VDC of the Rupandehi district to study the perspective response of the farming communities on the impacts of the climate change in agricultural crops. Primary information was collected from household survey by administering pre-tested questionnaire and necessary data were collected from National Wheat Research Project (NWRP), Bhairahawa. Several results are obtained on the recall basis of the respondents thus they can not assumed correctly and all the past information provided by the farmers cannot be cross checked due to the lack of sufficient and reliable system for recording and checking. The trend analysis of rainfall data of Bhairahawa of 30 years (1984-2013) showed that the pattern of rainfall was irregular and it was in a decreasing trend by 1.944 mm per year and average maximum temperature has increased by 0.0.15oC and average minimum temperature has increased by 0.0.61oC per year which justifies that the summers are growing hotter and winters are growing warmer. About 52% of the respondents suggested monsoon starts earlier, 85% suggested there is more intense rain during the monsoon and 91.75% suggested drought has increased. 98.33% of the respondents perceived that the summer has become hotter. In general there is increase in the yield of cereal crops whereas the yield of pulses, legumes and vegetables had declined. Int. J. Appl. Sci. Biotechnol. Vol 5(3): 345-355

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.

scholarly journals Impact of Climate Change on Water Availability and Food Security of Nepal

2012 ◽  
pp. 59-63
Author(s):  
Roshan Kumar Mehta ◽  
Shree Chandra Shah
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Climatic Factors ◽  
Monsoon Season ◽  
Groundwater Table ◽  
Maximum Temperature ◽  
Aquatic Life ◽  
Temperature And Precipitation ◽  
Average Maximum ◽  
Water Scarce

The increase in the concentration of greenhouse gases (GHGs) in the atmosphere is widely believed to be causing climate change. It affects agriculture, forestry, human health, biodiversity, and snow cover and aquatic life. Changes in climatic factors like temperature, solar radiation and precipitation have potential to influence agrobiodiversity and its production. An average of 0.04°C/ year and 0.82 mm/year rise in annual average maximum temperature and precipitation respectively from 1975 to 2006 has been recorded in Nepal. Frequent droughts, rise in temperature, shortening of the monsoon season with high intensity rainfall, severe floods, landslides and mixed effects on agricultural biodiversity have been experienced in Nepal due to climatic changes. A survey done in the Chitwan District reveals that lowering of the groundwater table decreases production and that farmers are attracted to grow less water consuming crops during water scarce season. The groundwater table in the study area has lowered nearly one meter from that of 15 years ago as experienced by the farmers. Traditional varieties of rice have been replaced in the last 10 years by modern varieties, and by agricultural crops which demand more water for cultivation. The application of groundwater for irrigation has increased the cost of production and caused severe negative impacts on marginal crop production and agro-biodiversity. It is timely that suitable adaptive measures are identified in order to make Nepalese agriculture more resistant to the adverse impacts of climate change, especially those caused by erratic weather patterns such as the ones experienced recently.DOI: http://dx.doi.org/10.3126/hn.v11i1.7206 Hydro Nepal Special Issue: Conference Proceedings 2012 pp.59-63

scholarly journals Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale

Climate ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 165
Author(s):  
Prem B. Parajuli ◽  
Avay Risal
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Minimum Temperature ◽  
Future Climate ◽  
Maximum Temperature ◽  
Nutrient Load ◽  
Climate Scenarios ◽  
Monthly Average ◽  
Average Maximum ◽  
Monthly Streamflow

This study evaluated changes in climatic variable impacts on hydrology and water quality in Big Sunflower River Watershed (BSRW), Mississippi. Site-specific future time-series precipitation, temperature, and solar radiation data were generated using a stochastic weather generator LARS-WG model. For the generation of climate scenarios, Representative Concentration Pathways (RCPs), 4.5 and 8.5 of Global Circulation Models (GCMs): Hadley Center Global Environmental Model (HadGEM) and EC-EARTH, for three (2021–2040, 2041–2060 and 2061–2080) future climate periods. Analysis of future climate data based on six ground weather stations located within BSRW showed that the minimum temperature ranged from 11.9 °C to 15.9 °C and the maximum temperature ranged from 23.2 °C to 28.3 °C. Similarly, the average daily rainfall ranged from 3.6 mm to 4.3 mm. Analysis of changes in monthly average maximum/minimum temperature showed that January had the maximum increment and July/August had a minimum increment in monthly average temperature. Similarly, maximum increase in monthly average rainfall was observed during May and maximum decrease was observed during September. The average monthly streamflow, sediment, TN, and TP loads under different climate scenarios varied significantly. The change in average TN and TP loads due to climate change were observed to be very high compared to the change in streamflow and sediment load. The monthly average nutrient load under two different RCP scenarios varied greatly from as low as 63% to as high as 184%, compared to the current monthly nutrient load. The change in hydrology and water quality was mainly attributed to changes in surface temperature, precipitation, and stream flow. This study can be useful in the development and implementation of climate change smart management of agricultural watersheds.

scholarly journals Effect of grazing period management on growth performances of camel in climate change condition

2019 ◽  
Author(s):  
Champak Bhakat
Keyword(s):  
Climate Change ◽  
Body Weight ◽  
Weight Gain ◽  
Body Weight Gain ◽  
The Body ◽  
Maximum Temperature ◽  
Change Condition ◽  
Average Maximum ◽  
Group 2 ◽  
Group 1

In order to decide the optimum time of grazing for camels during hot summer months, 10 growing camel calveswere divided into 2 equal groups. First group was sent for grazing during 10:00 h to 16:00 h daily and second groupallowed for grazing during thermo neutral period. The climatic variables were recorded daily (April 2012 to March2013). The average daily gain and total body weight gain in calves sent for grazing during relatively cool parts ofday (group 2) was significantly higher as compared to group 1 calves sent as per routine farm schedule. Theaverage intake of fodder and water from manger was higher in group 1 calves. The average DMI from manger forgroup 1 calves was higher as compared to group 2 calves. The comparative biometrics of camel calves in differentgrazing management practices revealed that body length, heart girth, height at wither, neck length were significantly(P<0.01) higher in group 2 calves as compared to group 1 calves. After 180 days of experimentation, humpcircumference vertical and hind leg length were significantly (P<0.05) increased in group 2 as compared to group1. Analysis of recorded data of climatic parameters revealed that average maximum temperature was higher duringJune 2012. The values of THI also were higher in monsoon and post monsoon months hence the practice of sendingcamel calves during relatively comfortable part of hot and hot humid months was successful in getting good growth.The relative humidity was significantly higher during morning as compared to evening period for all months. TheTHI was significantly lower during morning as compared to evening hours for all months in different climate forwhole year. Economic analysis reveals that the cost of feed per kg body weight gain was quite less in group 2 ascompared to group 1. So the practice of grazing of camel calves during cool hours of day remain profitable forfarmers by looking at the body weight gain and better body conformation in climate change condition.

scholarly journals Mediterranean Sea climatic indices: monitoring long term variability and climate changes

2018 ◽  
Author(s):  
Athanasia Iona ◽  
Athanasios Theodorou ◽  
Sarantis Sofianos ◽  
Sylvain Watelet ◽  
Charles Troupin ◽  
...  
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Mediterranean Sea ◽  
Climate Changes ◽  
Salt Content ◽  
Climatic Indices ◽  
In Situ Observations ◽  
The Mediterranean

Abstract. We present a new product composed of a set of thermohaline climatic indices from 1950 to 2015 for the Mediterranean Sea such as decadal temperature and salinity anomalies, their mean values over selected depths, decadal ocean heat and salt content anomalies at selected depth layers as well as their long times series. It is produced from a new high-resolution climatology of temperature and salinity on a 1/8° regular grid based on historical high quality in situ observations. Ocean heat and salt content differences between 1980–2015 and 1950–1979 are compared for evaluation of the climate shift in the Mediterranean Sea. The spatial patterns of heat and salt content shifts demonstrate in greater detail than ever before that the climate changes differently in the several regions of the basin. Long time series of heat and salt content for the period 1950 to 2015 are also provided which indicate that in the Mediterranean Sea there is a net mean volume warming and salting since 1950 with acceleration during the last two decades. The time series also show that the ocean heat content seems to fluctuate on a cycle of about 40 years and seems to follow the Atlantic Multidecadal Oscillation climate cycle indicating that the natural large scale atmospheric variability could be superimposed on to the warming trend. This product is an observations-based estimation of the Mediterranean climatic indices. It relies solely on spatially interpolated data produced from in-situ observations averaged over decades in order to smooth the decadal variability and reveal the long term trends with more accuracy. It can provide a valuable contribution to the modellers' community, next to the satellite-based products and serve as a baseline for the evaluation of climate-change model simulations contributing thus to a better understanding of the complex response of the Mediterranean Sea to the ongoing global climate change. The product is available here: https://doi.org/10.5281/zenodo.1210100.

scholarly journals Climate resilience in the United Kingdom wine production sector: CREWS-UK

2019 ◽  
Vol 15 ◽  
pp. 01011
Author(s):  
A. Nesbitt ◽  
S. Dorling ◽  
R. Jones
Keyword(s):  
Climate Change ◽  
Growing Season ◽  
Pinot Noir ◽  
Future Climate Change ◽  
Climate Trends ◽  
Wine Production ◽  
Production Sector ◽  
Climate Resilience ◽  
South Central ◽  
Grape Quality

As cool climate viticulture rapidly expands, the England and Wales wine sector is winning international acclaim, particularly for its sparkling wines, and is attracting significant investment. Supported by warming climate trends during the growing season, wine producers are establishing new vineyards planted predominantly with Pinot Noir and Chardonnay. Grape-friendly weather conditions in 2018 led to a record harvest and may be a sign of good things to come. Long term (100-years) Growing Season Average Temperatures (GSTs) in south-east and south-central England have noticeably increased with 6 of the top 10 warmest growing seasons (April–October), over the last 100 years, occurring since 2005. However, weather and growing season conditions fluctuate markedly from year to year, meaning that yields and grape quality continue to vary significantly. Weather extremes are anticipated to become more frequent under future climate change, further threatening the stability of production. Current uncertainty over future climatic conditions during the growing season and their potential effects on viticulture in the UK exposes both existing producers and potential investors to unquantified risks and opportunities. The CREWS-UK climate resilience research project is generating actionable information on how climate change may affect the wine production sector, to support better decision-making and investment.

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