scholarly journals Impact of Climate Change on Walnut Production in Biara Sub-District

2020 ◽  
Vol 7 (4) ◽  
pp. 487-506
Author(s):  
Pshtiwan Gharib Ghafur ◽  
Zhyan Sleman Hama ◽  
Khanda Saed Tofiq
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
Analytical Method ◽  
Pearson Correlation ◽  
Effect Of Temperature ◽  
Coefficient Of Determination ◽  
Impact Of Climate Change ◽  
Temperature And Precipitation ◽  
Irrigation Projects ◽  
The Impact

In this research is conducted about the impact of climate change on walnut production in Biara Sub-district. Descriptive – analytical method was utilized to obtain the proposed objectives by using SPSS – 16. The predominant objective of this analysis is to illustrate the inevitable impact of climate change on the walnut production in 1973-2017. The results on which the study was based on are Pearson Correlation which demonstrates that there is an indirect correlation between temperature and walnut production, and an equivalent relation with precipitation. For instance, in Multiple Regression Analysis, the impact of temperature and precipitation on small walnut trees is 4%, and on medium walnut trees is 25.8%, whereas on big walnut trees it is 24.8%. Moreover, in Coefficient of Determination, the effect of temperature on small walnut trees is 3.4%, on medium and large walnut trees increase to 18.6% and 24.7% respectively. However, precipitation impact is less than 1%, except medium walnut trees is less than 6%. The apparent wide gaps between temperature and precipitation which affects production is due to low topographic elevation and the presence of 82 springs in the study area. Additionally, an increase in temperature, a decrease in precipitation and subfreezing temperatures, in other words, chill dates, in spring time, ultimately leads to an increase in hazardous insects such as stem worms and beetle. These issues could be solved through selecting different varieties of walnuts and planting at higher elevation, construct more irrigation projects and regular irrigation, in particular during drought seasons, improving agricultural facilities and importing sufficient pesticides to tackle walnut trees diseases, is also among the precautionary methods.

Influence of climate change on soil erosion in high mountain area: a case study of upper Heihe river basin

2021 ◽  
Author(s):  
Li Wang ◽  
Fan Zhang ◽  
Guanxing Wang
Keyword(s):  
Climate Change ◽  
Soil Erosion ◽  
River Basin ◽  
Effect Of Temperature ◽  
Heihe River ◽  
High Mountain ◽  
Mountain Area ◽  
Impact Of Climate Change ◽  
High Mountain Area ◽  
The Impact

<p>The impact of climate change on soil erosion is pronounced in high mountain area. In this study, the revised universal soil loss equation (RUSLE) model was improved for better calculation of soil erosion during snowmelt period by integrating a distributed hydrological model in upper Heihe river basin (UHRB). The results showed that the annual average soil erosion rate from 1982 to 2015 in the study area was 8.1 t ha<sup>-1 </sup>yr<sup>-1</sup>, belonging to the light grade. To evaluate the influence of climate change on soil erosion, detrended analysis of precipitation, temperature and NDVI was conducted. It was found that in detrended analysis of precipitation and temperature, the soil erosion of UHRB would decrease 26.5% and 3.0%, respectively. While in detrended analysis of NDVI, soil erosion would increase 9.9%. Compared with precipitation, the effect of temperature on total soil erosion was not significant, but the detrended analysis of temperature showed that the effect of temperature on soil erosion during snowmelt period can reach 70%. These finding were helpful for better understanding of the impact of climate change on soil erosion and provide a scientific basis for soil management in high mountain area under climate change in the future.</p>

Representation of the Angolan low and Southern African Summer Precipitation in the CORDEX and CMIP5 models. 

2021 ◽  
Author(s):  
Sabina Abba-Omar ◽  
Francesca Raffaele ◽  
Erika Coppola ◽  
Daniela Jacob ◽  
Claas Teichmann ◽  
...  
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
Southern Africa ◽  
Summer Precipitation ◽  
Precipitation Variability ◽  
Cmip5 Models ◽  
Impact Of Climate Change ◽  
The Future ◽  
Rainfall Patterns ◽  
The Impact

<p>The impact of climate change on precipitation over Southern Africa is of particular interest due to its possible devastating societal impacts. To add to this, simulating precipitation is challenging and models tend to show strong biases over this region, especially during the Austral Summer (DJF) months. One of the reasons for this is the mis-representation of the Angolan Low (AL) and its influence on Southern Africa’s Summer precipitation in the models. Therefore, this study aims to explore and compare different models’ ability to capture the AL and its link to precipitation variability as well as consider the impact climate change may have on this link. We also explore how the interaction between ENSO, another important mode of variability for precipitation, and the Angolan Low, impact precipitation, how the models simulate this and whether this could change in the future under climate change. </p><p>We computed the position and strength of the AL in reanalysis data and compared these results to three different model ensembles with varying resolutions. Namely, the CORDEX-CORE ensemble (CCORE), a new phase of CORDEX simulations with higher resolutions (0.22 degrees), the lower resolution (0.44 degrees) CORDEX-phase 1 ensemble (C44) and the CMIP5 models that drive the two RCM ensembles. We also used Self Organizing Maps to group DJF yearly anomaly patterns and identify which combination of ENSO and AL strength scenarios are responsible for particularly wet or dry conditions. Regression analysis was performed to analyze the relationships between precipitation and the AL and ENSO. This analysis was repeated for near (2041-2060) and far (2080-2099) future climate and compared with the present to understand how the strength of the AL, and its connection to precipitation variability and ENSO, changes in the future. </p><p>We found that, in line with previous studies, models with stronger AL tend to produce more rainfall. CCORE tends to simulate a stronger AL than C44 and therefore, higher precipitation biases. However, the regression analysis shows us that CCORE is able to capture the relationship between precipitation and the AL strength variability as well as ENSO better than the other ensembles. We found that generally dry rainfall patterns over Southern Africa are associated with a weak AL and El Nino event whereas wet rainfall patterns occur during a strong AL and La Nina year. While the models are able to capture this, they also tend to show more neutral ENSO conditions associated with these wet and dry patterns which possibly indicates less of a connection between AL strength and ENSO than seen in the observed results. Analysis of the future results indicates that the AL weakens, this is shown across all the ensembles and could be a contributing factor to some of the drying seen. These results have applications in understanding and improving model representation of precipitation over Southern Africa as well as providing some insight into the impact of climate change on precipitation and some of its associated dynamics over this region.</p>

Impact of climate change on water requirements and growth of potato in different climatic zones of Montenegro

2018 ◽  
Vol 9 (4) ◽  
pp. 657-671 ◽  
Author(s):  
Mirko Knežević ◽  
Ljubomir Zivotić ◽  
Nataša Čereković ◽  
Ana Topalović ◽  
Nikola Koković ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Regional Climate ◽  
Baseline Period ◽  
Yield Reduction ◽  
Adaptation Measures ◽  
Impact Of Climate Change ◽  
Temperature And Precipitation ◽  
Viable Solution ◽  
The Impact

Abstract The impact of climate change on potato cultivation in Montenegro was assessed. Three scenarios (A1B, A1Bs and A2) for 2001–2030, 2071–2100 and 2071–2100, respectively, were generated by a regional climate model and compared with the baseline period 1961–1990. The results indicated an increase of temperature during the summer season from 1.3 to 4.8 °C in the mountain region and from 1 to 3.4 °C in the coastal zone. The precipitation decreased between 5 and 50% depending on the scenario, region and season. The changes in temperature and precipitation influenced phenology, yield and water needs. The impact was more pronounced in the coastal areas than in the mountain regions. The growing season was shortened 13.6, 22.9 and 29.7 days for A1B, A1Bs and A2, respectively. The increase of irrigation requirement was 4.0, 19.5 and 7.3 mm for A1B, A1Bs and A2, respectively. For the baseline conditions, yield reduction under rainfed cultivation was lower than 30%. For A1B, A1Bs and A2 scenarios, yield reductions were 31.0 ± 8.2, 36.3 ± 11.6 and 34.1 ± 10.9%, respectively. Possible adaptation measures include shifting of production to the mountain (colder) areas and irrigation application. Rainfed cultivation remains a viable solution when the anticipation of sowing is adopted.

The impact of climate change on cocoa production in West Africa

2014 ◽  
Vol 6 (3) ◽  
pp. 296-314 ◽  
Author(s):  
Kenneth Ofori-Boateng ◽  
Baba Insah
Keyword(s):  
Climate Change ◽  
West Africa ◽  
Climatic Factors ◽  
Extreme Temperature ◽  
Yield Response ◽  
Content Type ◽  
Impact Of Climate Change ◽  
Temperature And Precipitation ◽  
Cocoa Production ◽  
The Impact

Purpose – The study aimed at examining the current and future impact of climate change on cocoa production in West Africa. Design/methodology/approach – A translog production function based on crop yield response framework was used. A panel model was estimated using data drawn from cocoa-producing countries in West Africa. An in-sample simulation was used to determine the predictive power of the model. In addition, an out-sample simulation revealed the effect of future trends of temperature and precipitation on cocoa output. Findings – Temperature and precipitation play a considerable role in cocoa production in West Africa. It was established that extreme temperature adversely affected cocoa output in the sub-region. Furthermore, increasing temperature and declining precipitation trends will reduce cocoa output in the future. Practical implications – An important implication of this study is the recognition that lagging effects are the determinants of cocoa output and not coincident effects. This finds support from the agronomic point of view considering the gestation period of the cocoa crop. Originality/value – Although several studies have been carried out in this area, this study modeled and estimated the interacting effects of factors that influence cocoa production. This is closer to reality, as climatic factors and agricultural inputs combine to yield output.

scholarly journals SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIA

2018 ◽  
Vol XLII-5 ◽  
pp. 557-562
Author(s):  
K. Nivedita Priyadarshini ◽  
S. A. Rahaman ◽  
S. Nithesh Nirmal ◽  
R. Jegankumar ◽  
P. Masilamani
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Climate Change Impacts ◽  
Climatic Conditions ◽  
Scale Model ◽  
Impact Of Climate Change ◽  
Temperature And Precipitation ◽  
The Government ◽  
The Impact ◽  
Soil And Water

<p><strong>Abstract.</strong> Climate change impacts on watershed ecosystems and hydrologic processes are complex. The key significant parameters responsible for balancing the watershed ecosystems are temperature and rainfall. Though these parameters are uncertain, they play a prime role in the projections of dimensional climate change studies. The impact of climate change is more dependent on temperature and precipitation which contributes at a larger magnitude for characterising global warming issues. This paper aims to forecast the variations of temperature and precipitation during the period of 2020&amp;ndash;2050 for the northern part of Thenpennar sub basin. This study is modelled using SWAT (Soil and Water Assessment Tool) &amp;ndash; a scale model developed to predict the impact of changes that occurs in land, soil and water over a period of time. This study is validated using the base period from 1980&amp;ndash;2000 which shows the distribution of rainfall and temperature among 38 watersheds. The results from this study show that there is a decrease in the rainfall for a maximum of about 20% in the month of December during the predicted period of 2020 and 2050. This study assesses the possible adverse impact of climate change on temperature and precipitation of Thenpennai sub-basin. This kind of predictions will help the government agencies, rulers and decision makers in policy making and implementing the adaptation strategies for the changing climatic conditions.</p>

scholarly journals AGROCLIMATIC ZONES AND YIELD OF AGRICULTURAL CROPS IN THE CHANGING CONDITIONS OF REGIONAL CLIMATE

2021 ◽  
Vol 16 (1) ◽  
pp. 142-147
Author(s):  
Anna Scherbakova
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
Growing Season ◽  
Climatic Changes ◽  
Komi Republic ◽  
Regional Level ◽  
Agricultural Crop ◽  
Agricultural Crops ◽  
Impact Of Climate Change ◽  
The Impact

Today there is enough scientific research to prove the impact of climate change on agriculture. However, there is no conclusive conclusion as to what is in store for agriculture, its potential will increase or decrease. Significant consequences of the impact of climate change are likely to manifest themselves at the regional level, and this requires additional research for further adaptation of agriculture in the corresponding territory. The aim of the study is to assess changes in agro-climatic indicators at the regional level. The subject is the Komi Republic, located in the extreme northeast of the European part of the country. The chosen research methodology based on statistical processing of agro-climatic indicators for ten meteorological stations in the region for 1960-2018 and economic indicators of productivity and gross harvest of agricultural crops for 1913-2018 due to the large amount of data. Paired regression analysis used accurately interpret the results. The obtained mathematical models evaluated according to the Pearson coefficient, Student’s t-criterion, determination coefficient, F – Fisher’s criterion, so that the results of the study were reliable. For some regions, the consequences of climate change may turn out to be negative in the form of a decrease in food supply, for others - positive, due to an increase in the duration of the growing season and, accordingly, an increase in the potential productivity of agricultural crops. The relevance of the study is because these positive consequences will be especially characteristic for the northern territories. As a result, it revealed that in four agro-climatic regions of the Komi Republic, there were insignificant climatic changes for agriculture over a sixty-year period. An analysis of the yield of vegetables in open ground showed that it increased from 36 to 314 tons per hectare, and the gross yield of the main agricultural crop - potatoes - decreased almost 3 times, but the main reason is the reduction in acreage, and not climate change. However, the trend line for potato yields in the region as a whole shows an upward trend over a 100-year period. The performed paired regression analysis between the selected agro-climatic indicators and the yield of agricultural crops of the republic revealed an average direct relationship only between the yield of vegetables and the duration of the growing season, and the sum of average daily temperatures. Consequently, it is currently impossible to assert that the ongoing climatic changes have a significant impact on agriculture in the Komi Republic

scholarly journals Coupling Remote Sensing and Hydrological Model for Evaluating the Impacts of Climate Change on Streamflow in Data-Scarce Environment

2021 ◽  
Vol 13 (24) ◽  
pp. 14025
Author(s):  
Fazlullah Akhtar ◽  
Usman Khalid Awan ◽  
Christian Borgemeister ◽  
Bernhard Tischbein
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Water Resources ◽  
Swat Model ◽  
Coefficient Of Determination ◽  
Climate Change Scenarios ◽  
Impact Of Climate Change ◽  
Streamflow Data ◽  
The Impact ◽  
Impacts Of Climate Change

The Kabul River Basin (KRB) in Afghanistan is densely inhabited and heterogenic. The basin’s water resources are limited, and climate change is anticipated to worsen this problem. Unfortunately, there is a scarcity of data to measure the impacts of climate change on the KRB’s current water resources. The objective of the current study is to introduce a methodology that couples remote sensing and the Soil and Water Assessment Tool (SWAT) for simulating the impact of climate change on the existing water resources of the KRB. Most of the biophysical parameters required for the SWAT model were derived from remote sensing-based algorithms. The SUFI-2 technique was used for calibrating and validating the SWAT model with streamflow data. The stream-gauge stations for monitoring the streamflow are not only sparse, but the streamflow data are also scarce and limited. Therefore, we selected only the stations that are properly being monitored. During the calibration period, the coefficient of determination (R2) and Nash–Sutcliffe Efficiency (NSE) were 0.75–0.86 and 0.62–0.81, respectively. During the validation period (2011–2013), the NSE and R2 values were 0.52–0.73 and 0.65–0.86, respectively. The validated SWAT model was then used to evaluate the potential impacts of climate change on streamflow. Regional Climate Model (RegCM4-4) was used to extract the data for the climate change scenarios (RCP 4.5 and 8.5) from the CORDEX domain. The results show that streamflow in most tributaries of the KRB would decrease by a maximum of 5% and 8.5% under the RCP 4.5 and 8.5 scenarios, respectively. However, streamflow for the Nawabad tributary would increase by 2.4% and 3.3% under the RCP 4.5 and 8.5 scenarios, respectively. To mitigate the impact of climate change on reduced/increased surface water availability, the SWAT model, when combined with remote sensing data, can be an effective tool to support the sustainable management and strategic planning of water resources. Furthermore, the methodological approach used in this study can be applied in any of the data-scarce regions around the world.

Impact of Climate Change on the Spatiotemporal Distribution of Stream Flow and Sediment Yield of Darbandikhan Watershed, Iraq

2020 ◽  
Vol 38 (2A) ◽  
pp. 265-276
Author(s):  
Mahmoud S. Al- Khafaji ◽  
Rana D. Al- Chalabi
Keyword(s):  
Climate Change ◽  
Sediment Yield ◽  
Stream Flow ◽  
Assessment Tool ◽  
Coefficient Of Determination ◽  
Base Period ◽  
Time Step ◽  
Impact Of Climate Change ◽  
Global Circulation Models ◽  
The Impact

The impact of climate change on stream flow and sediment yield in Darbandikhan Watershed is an important challenge facing the water resources in Diyala River, Iraq. This impact was investigated using five Global Circulation Models (GCM) based climate change projection models from the A1B scenario of medium emission. The Soil and Water Assessment Tool (SWAT) was used to compute the temporal and spatial distribution of streamflow and sediment yield of the study area for the period 1984 to 2050. The daily-observed flow recorded in Darbandikhan Dam for the period from 1984 to 2013 was used as a base period for future projection. The initial results of SWAT were calibrated and validated using SUFI-2 of the SWAT-CUP program in daily time step considering the values of the Nash-Sutcliffe Efficiency (NSE) coefficient of determination (R2) as a Dual objective function. Results of NSE and R2 during the calibration (validation) periods were equal to 0.61 and 0.62(0.53 and 0.68), respectively. In addition, the average future prediction for the five climate models indicated that the average yearly flow and sediment yield in the watershed would decrease by about 49% and 44%, respectively, until the year 2050 compared with these of the base period from 1984 to 2013. Moreover, spatial analysis shows that 89.6 % and 90 % of stream flow and sediment come from the Iranian part of Darbandikhan watershed while the remaining small percent comes from Iraq, respectively. However, the middle and southern parts of Darbandikhan Watershed contribute by most of the stream...

scholarly journals The Impact of Climate Change On Financing Cost of Heavy-Pollution Firms in China

2021 ◽  
Author(s):  
Kai Chang ◽  
Yixia Nie
Keyword(s):  
Climate Change ◽  
Firm Size ◽  
Impact Of Climate Change ◽  
Positive Effects ◽  
Financing Cost ◽  
Temperature And Precipitation ◽  
Financing Costs ◽  
Heavy Pollution ◽  
Precipitation Changes ◽  
The Impact

Abstract We examines the effects of climate change on the financing cost of heavy-pollution firms using firm-level panel data analysis. The empirical results demonstrate that the annual temperature and precipitation changes can significantly promote the financing costs of heavy-pollution firms, the positive impacts of annual temperature and precipitation changes on the financing costs of large, medium and small heavy-pollution firms has shown a gradual weakening trend with an increase of firm size, and the positive effects of annual temperature and precipitation changes on the financing costs of younger and older heavy-pollution firms has shown a decline trend with an increase of firm age. The evidences confirms that the impact of climate change on the financing costs of heavy-pollution firms exhibit a significant firm size and age discrimination of financing behaviors. Government decision-makers have to identify and optimize the transmission effect of climate change response on financing behavior decisions of heavy-pollution industries, financial institutions alleviate financial conflicts and credit discrimination behaviors and optimize the efficiency of financial resource allocation. Firms’ executives correct climate change strategy, optimize the climate- relevant operation, investment and financing activities, and alleviate unfavorable influences of climate changes for heavy-pollution firms.

scholarly journals The Impact of Climate Change on Risk and Return in Indian Agriculture

2020 ◽  
Author(s):  
Francisco J M Costa ◽  
Fabien Forge ◽  
Jason Garred ◽  
João Paulo Pessoa
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
District Level ◽  
Sharp Decline ◽  
Risk And Return ◽  
Impact Of Climate Change ◽  
Changing Climate ◽  
Indian Agriculture ◽  
Temperature And Precipitation ◽  
The Impact

We investigate the extent to which climate change will result in insurable and uninsurable losses for farmers in India. Shifts in the distributions of temperature and precipitation may increase the volatility of farmers' yields, leading to rising but insurable risk, and/or reduce mean yields and thus cause permanent reductions in the returns to farming. We use a multi-run climate model to predict the future distribution of yields at the district level for sixteen major crops. For the average district, we project a sharp decline in mean agricultural revenue, but relatively small shifts in volatility. This is because weather draws resulting in extremely low agricultural revenue -- what had once been 1-in-100-year events -- are predicted to become the norm by the end of the century, implying substantial uninsurable losses from the changing climate.

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