Impact Of Climate Change Research Articles

Reviewing the impact of climate change on global food security: Challenges and solutions

This review examines the intricate relationship between climate change and global food security, elucidating the challenges posed by climate variability and exploring potential solutions to mitigate its adverse effects. Climate change presents formidable obstacles to food security worldwide, disrupting agricultural productivity, exacerbating food shortages, and deepening malnutrition. Shifts in temperature and precipitation patterns, coupled with the increasing frequency of extreme weather events, threaten crop yields, livestock health, and food distribution networks, particularly in vulnerable regions. The review identifies key challenges confronting global food security in the context of climate change, including diminished agricultural productivity, heightened food price volatility, and heightened risks of food insecurity and malnutrition. It underscores the disproportionate impact of climate change on marginalized communities, smallholder farmers, and low-income populations, who bear the brunt of environmental degradation and lack the resources to adapt. In response to these challenges, the review explores a range of solutions and strategies aimed at enhancing food security resilience in a changing climate. It discusses the importance of climate-smart agricultural practices, such as agroforestry, crop diversification, and soil conservation, in bolstering the resilience of agricultural systems and improving resource efficiency. Additionally, the review highlights the significance of enhancing access to climate information, investing in sustainable infrastructure, and promoting gender equity in agriculture to foster inclusive and adaptive food systems. Furthermore, the review underscores the critical role of policy interventions, international collaboration, and community engagement in addressing climate-related food security challenges and advancing sustainable development goals. By integrating climate adaptation and mitigation measures into agricultural policies, promoting research and innovation, and fostering multi-stakeholder partnerships, it is possible to build more resilient and equitable food systems that can withstand the impacts of climate change and ensure food security for all. In conclusion, the review emphasizes the urgency of concerted action to address the complex interplay between climate change and global food security. Through collective efforts and targeted interventions, it is feasible to mitigate the adverse effects of climate change on food systems and pave the way for a more sustainable and food-secure future. Keywords: Impact, Climate Change, Global, Food Security, Challenges.

Assessing the Impact of Climate Change on Glacial Lake Outburst Flood (GLOF) in Eastern Hindu Kush Region Using Integrated Geo-Statistical and Spatial Hydrological Approach

Glacier retreat, a major impact of climate change that continues to occur in many parts of the world, continues to increase the risk of glacial lake outburst floods (GLOFs) in northern Pakistan. The rapid melting of glaciers in the mountains of Northern Pakistan, including the Hindu Kush, the Himalayas and the Karakoram, the rapid melting of glacier has led to the formation of 3044 glacial lakes, with 33 identified as particularly vulnerable to GLOFs. This study uses remote sensing and geographic information systems (GIS) methods for mapping and representing GLOFs. Based on the observational data of lake area, volume, and depth, empirical equations are developed through statistical methods. Only two lakes, Chitral-GL2 and Swat-G31, are classified as lakes with high potential for GLOF. Through modeling techniques using HEC-RAS and HEC-GeoRAS spatial hydrological models integrated with GIS remote sensing, the spatial extent and depth of inundations under different lake volumes are assessed. The analysis reveals that a total area of 20.56 km2 is susceptible to submersion by GLOFs, with Chitral-GL2 flooding area of 14.80 km2 and Swat-GL31 5.79 km2. Different land types are impacted by critical water depths, with built-up and agricultural lands 2.7 km2 totally, and barren lands 8.93 km2 under different flood depths ranging from less than 5 m to over 15 m.

Analysis of regional water resources spatial pattern and allocation equity

Water scarcity is a worldwide concern, and with the impact of climate change and human activities, the imbalance in the distribution of water resources has further intensified. The equitable allocation of water resources has become a thorny issue for water resources management authorities. It is challenging to find a relatively equitable method of water resources allocation. This study aims to propose a method for evaluating the fairness of water resources allocation, which can be used both to evaluate the fairness of water resources allocation and as a basis for water resources allocation decisions. The specific approach is to first analyze the spatial pattern of regional water resources by using water resources abundance and water resources intensity, and then to conduct a comprehensive analysis of regional water resources allocation fairness by combining Lorenz curve, Gini coefficient and Theil index to form an index system that can systematically analyze the spatial pattern of water resources, allocation fairness and its changes. A real-world example study was conducted in the Yangtze River Delta region of China, and the results showed that the index system can well reflect the allocation of water resources among regions and cities within the region. The results obtained using this method can provide some reference for promoting coordinated regional development.

A water quality prediction approach for the Downstream and Delta of Dongjiang River Basin under the joint effects of water intakes, pollution sources, and climate change

Water quality prediction is an important means for scientific water environment management and early warning measures. However, its reliability is often restricted by the uncertainties of parameters and pollution sources. Previous methods for resolving these uncertainties still have shortcomings due to low computational efficiency and incomplete coverage of mechanisms. With insufficient data, they also overlooked revealing the comprehensive impact of water intakes, pollution sources, and climate change on water quality in river networks. Insight understanding migration law and the main driving mechanisms under these factors is crucial for water resources and sustainable socioeconomic development. Here, we developed an efficient multi-scenario ensemble water quality prediction (MEWQP) approach to address the deficiency. The Downstream and Delta of Dongjiang River Basin was the demonstrative case. Firstly, we developed multiple parameters and pollution sources inverse estimation method by incorporating the Water Quality Analysis Simulation Program (WASP), general likelihood uncertainty estimation, and inverse methods to improve accuracy. Secondly, the Markov-Chain was used to predict flows affected by climate change. Thirdly, 60 scenarios were analyzed to quantify the impacts of multiple factors on water quality including 5-day biochemical oxygen demand (BOD5), ammonia nitrogen (NH3-N), and dissolved oxygen (DO), and identify an optimized scheme of water intakes. Results show that: (1) WASP has good performance for BOD5, NH3-N, and DO with Mean Absolute Relative Error of 5.87%, 9.19%, and 15.25%, respectively; (2) pollution sources have the greatest impact, followed by extreme climate and intakes. Their combined impacts are greater than individuals; (3) under non-water intakes DO can be improved by 31%, also offset the impact of climate change by 16%; (4) the optimized scheme of intakes could improve DO by 6%. Therefore, decision-makers should simultaneously adjust water intake and reduce pollution sources to obtain high-quality water resources.

Impact of Climate Change on Sericulture

Climate change is likely to pose problems to agriculture and its related industries in the future, which could result in both global and local development. The sericulture sector is impacted by climate change in a number of ways. Rising annual mean temperature, irregular rainfall, humidity, lack of management practices, accumulation of anthropogenic greenhouse gases in the atmosphere and lack of management practices will lead to reduced production of raw silk, mulberry leaf yield, silk content, breakage in silk thread during reeling or spinning, water stress, drought, risk of soil acidification and salinization, decomposition of organic matter, Nitrogen fixation, and mineralization of N, P, and S and unpredictable monsoon. The impact of global warming on silkworms is more concerned as they participate in several biotic interactions that are critical to the ecological functioning of our country and significantly boost its GDP.

Climate Change impact on Weeds and Herbicide Efficacy

Climate change is the change in statistical distribution of weather pattern that lasts for an extended period of time. There are several components of these climate changes occurring globally that includes uneven rainfall, droughts, floods, warming of atmosphere etc. These are the most important challenges influencing natural ecosystems, agricultural productivity and food security. Climate change is not only influencing crop plants and forests directly but can also impact the pests of these crops. Weeds respond to climate change by changing the duration of their life cycles, population dynamics and shift to new habitats and become a potential competitor to crop plants thereby reducing the production and productivity of crops. Elevated temperature and elevated CO2 level in the environment interfere with herbicide activity, which affects the herbicide absorption, translocation and thereby reduces the efficacy of the applied herbicide. Weeds’ resistance to herbicides may probably increase due to further aggressive growth of weeds in future climate conditions, which can cause a decline in the efficacy of routinely used herbicides.

Climate change beliefs and behaviours: Data collected from 30-year-old offspring and their parents in the Avon Longitudinal Study of Parents and Children (ALSPAC)

Climate change is causing a suite of environmental and social issues. Understanding patterns of climate change beliefs and behaviours, and the factors which shape these attitudes and actions, is therefore essential. This data note describes the novel data collection of climate belief and behaviour questions embedded within the Avon Longitudinal Study of Parents and Children (ALSPAC), a longitudinal population-based birth cohort in southwest England. Two generations of ALSPAC participants completed the questionnaires containing these climate questions: the Generation-1 (G1) offspring (n=4,341), Generation-0 (G0) mothers (n=4,793), and the G0 mother’s partners (n=2,111). The questions asked about: belief in climate change; concern over climate change; whether climate change is caused by human activity; whether individual behaviours can impact climate change; the impacts of climate change in the participants’ local area; and whether participants were engaging in any of 17 pro-environmental behaviours (e.g., recycling more, reducing meat/dairy consumption) for climate change and/or other reasons. The majority of participants believed the climate was definitely changing (~80%), were somewhat or very concerned about climate change (~90%) and attributed most or all of climate change to human activity (~75%), with only small differences between the generations. On average, participants reported engaging in between 5 and 6 actions because of concerns regarding climate change (5.8 in G0 mothers; 5.2 in G1 offspring and G0 partners). Associations with sociodemographic factors (e.g., age, sex, ethnicity and socioeconomic background) were relatively weak, but positive relationships between highest level of education and greater climate change belief, concern and behaviours were evident. Increased climate belief and concern also predicted engaging in more pro-environmental actions. Responses to these climate questions were more similar within-families. This data note provides important information for future users of these data, as well as discussing some of the key strengths, limitations and considerations for data users.

Building climate-resilient value chains in arid and semi-arid regions: a VC-ARID approach for rangeland adaptation in Kenya

AbstractClimate change has adversely impacted nature-based value chains in the arid and semi-arid regions. The study investigates the impact of climate change on nature-based value chains in arid and semi-arid environments. With an emphasis on rangeland adaptation in Kenya, the study used the VC-ARID (Value Chains for Arid and Semi-Arid Regions) approach, designed to build climate-resilient value chains in arid and semi-arid regions. The findings reveal that climate change poses significant risks to nature-based value chains, including reduced water availability, increased temperature variability, and changes in precipitation patterns. The study identifies several challenges to value chain development, such as limited access to climate information, financial resources, and supportive policies. It underscores the urgent need to integrate climate resilience into value chain interventions to achieve poverty reduction and food security goals in arid and semi-arid regions. This calls for active collaboration and investment in climate information services, research, and extension services to enhance the adaptive capacity of value chain actors and promote sustainable development in vulnerable regions. Given that climate hazards and changes are context-specific, strategies for improving value chains' sustainability must be customized to the unique ecological and socioeconomic setting in which the nature-based value chain operates. Consequently, to build value chains that are climate resilient, each actor along the chain must assess climate risks and manage the activities that make up the value chain adaptively.

Correction to: Impacts of climate change on spatial drought distribution in the Mediterranean Basin (Turkey): different climate models and downscaling methods

Correction to: Impacts of climate change on spatial drought distribution in the Mediterranean Basin (Turkey): different climate models and downscaling methods

The Impact of Climate Changes on Environmental Conservation in Coastal Tourism and Beach Resort

Coastal tourism and beach resorts are considered the most vulnerable tourism activities to climate change. This paper seeks to achieve two objectives: first, to examine climate change's impact on the value of tourists' experience in coastal tourism and beach resorts; Secondly, to identify the adaptation strategies applied to coastal tourism and beach resort hotels to reduce the negative effects of climate changes. A quantitative approach was adopted in this research to test the study hypotheses. Hurghada was selected as a case study. A convenience sample technique was chosen in this research to collect data from visitors of coastal tourism and beach resort hotel guests. A total of 250 questionnaires were distributed, and only 175 were returned and valid for analysis with a response rate of 70%. The findings showed that coastal tourism and beach resort hotels on the Red Sea are highly vulnerable to potential climate change risks such as floods, rising sea levels and rising temperatures. Also, the findings showed that climate changes negatively affect coastal tourism and beach resort hotels, affecting the value of the tourist experience. In addition, the results indicated that coastal tourism and beach resort hotels on the Red Sea coast in Hurghada are exposed to significant financial losses due to the threats of climate change. Beach resort hotels must be able to adapt to climate changes and mitigate their effects.

The Impact of Climate Change on Life Expectancy in the UK: Empirical Evidence from Fourier Bootstrap ARDL Procedure

This study aims to determine the impact of surface temperature change, considered a proxy for climate change in the United Kingdom, on life expectancy using annual data from 1990–2021. Government expenditure is used as a control variable. The Fourier function-based bootstrap autoregressive distributed lag model is utilized to examine the cointegration among variables. The analysis outcomes reveal a long-term relationship between life expectancy, surface temperature change, and government expenditure. Furthermore, the findings reveal that surface temperature change significantly reduces life expectancy in the long run, while there is no significant relationship between the two variables in the short term. The Toda-Yamamoto causality analysis results show a unidirectional causality relationship between surface temperature change and life expectancy. Additionally, a significant bidirectional causality relationship is found between life expectancy and government expenditure.

Impacts of Climate Change and Mitigation Strategies for Some Abiotic and Biotic Constraints Influencing Fruit Growth and Quality.

Factors such as extreme temperatures, light radiation, and nutritional condition influence the physiological, biochemical, and molecular processes associated with fruit development and its quality. Besides abiotic stresses, biotic constraints can also affect fruit growth and quality. Moreover, there can be interactions between stressful conditions. However, it is challenging to predict and generalize the risks of climate change scenarios on seasonal patterns of growth, development, yield, and quality of fruit species because their responses are often highly complex and involve changes at multiple levels. Advancements in genetic editing technologies hold great potential for the agricultural sector, particularly in enhancing fruit crop traits. These improvements can be tailored to meet consumer preferences, which is crucial for commercial success. Canopy management and innovative training systems are also key factors that contribute to maximizing yield efficiency and improving fruit quality, which are essential for the competitiveness of orchards. Moreover, the creation of habitats that support pollinators is a critical aspect of sustainable agriculture, as they play a significant role in the production of many crops, including fruits. Incorporating these strategies allows fruit growers to adapt to changing climate conditions, which is increasingly important for the stability of food production. By investing in these areas, fruit growers can stay ahead of challenges and opportunities in the industry, ultimately leading to increased success and profitability. In this review, we aim to provide an updated overview of the current knowledge on this important topic. We also provide recommendations for future research.

Climate Change Impacts on Legume Physiology and Ecosystem Dynamics: A Multifaceted Perspective

As valuable sources of plant-based protein, leguminous vegetables (grain legumes) are essential for global food security and contribute to body growth and development in humans as well as animals. Climate change is a major challenge for agriculture development that creates major problems for the growth and development of plants. However, legume productivity is threatened by climate change factors, including rising temperatures, shifting precipitation patterns, increased atmospheric carbon dioxide levels, intensified extreme events, and altered pest/pathogen activity. This review synthesizes approximately 136 studies to assess the climate effects on major legume crops. Under all the global emissions trajectories, the mean temperatures are projected to rise beyond the optimal legume growing thresholds by 2050, carrying yield reductions between 10 and 49% for beans, soybeans, cowpeas, and lentils without adaptation measures. The elevated carbon dioxide may transiently enhance the yields up to 18%, but the benefits dramatically decline above 550 ppm and cannot offset the other climate impacts. Altered rainfall along with recurrent drought and heat waves are also expected to decrease the legume crop yields, seed quality, and soil nitrogen levels worldwide. Furthermore, the proliferation of legume pests and fungal diseases poses significant risks, amplified by climate shifts in 84% of the reviewed studies. These multifaceted impacts threaten the productivity gains in leguminous vegetables essential to sustainably meeting the global protein demand. Realizing resilience will require the accelerated development of heat/drought-tolerant legume varieties, enhanced climate-informed agronomic practices, strong policy interventions, and social safety nets explicitly supporting legume producers, in addition to the policies/steps that governments are taking to address the challenges of the climate crisis. This review highlights the essential adaptations and mechanisms required for legume crops to thrive and fulfill their significant roles in global nutrition. It explores how these crops can be improved to better withstand the environmental stresses, enhance their nutritional profiles, and increase their yields. Additionally, the review discusses the importance of legumes in sustainable agriculture and food security, emphasizing their potential to address the future challenges in feeding the growing global population. By focusing on these critical aspects, the review aims to underscore the importance of legumes in ensuring a healthy and sustainable food supply.

Knowledge, attitudes, and practices of Japanese physicians relating to climate change impacts on health, delivery of climate-specific advice, and advocacy for climate change policies

Abstract Aim This study aimed to assess the knowledge, attitudes, and practices (KAP) of physicians in Japan toward climate change and health, their delivery of climate-specific advice to patients, and their advocacy for climate change policy. Subject and methods This cross-sectional study included licensed physicians active in clinical practice in Japan. Data were collected through a web-based platform from November 21 through November 27, 2023, using a 32-item self-administered questionnaire. Results A total of 1100 physicians with a mean age of 51.2 years (SD11.9) were included in the analysis. More than half (56.7%) agreed that physicians should advise their patients on the links climate change has on their health; however, less than half (32.6%) of the physicians responded that they do. Among the factors that reduced their action to deliver climate-specific health advice and advocacy were a lack of information/resources and knowledge. The multivariable logistic regression model showed that having prior climate change education or training, knowledge, and awareness is associated with physicians’ delivery of climate-specific advice to patients and advocating for climate change policy. Conclusion Many physicians recognize their responsibility to educate their patients on the impact climate change has on their health. There is a significant gap between the physicians’ willingness and what happens in practice. Among the main factors that reduce their action to engage in delivering climate-specific health advice and advocacy were a lack of information/resources and a lack of knowledge. Physicians need to be better equipped with the education, resources, and support to apply their expertise and influence to combat climate change.

Reduced seagrass resilience due to environmental and anthropogenic effects may lead to future die-off events in Florida Bay

Coastal systems often depend on foundation species such as seagrasses that are supported by self-facilitation. Seagrass meadows, however, are threatened worldwide due to climate change and local human impact, disrupting self-facilitation leading to system instability. Florida Bay is a large seagrass dominated coastal ecosystem that suffered from multiple seagrass mortality events over the last half century driven by hypoxia, high water temperatures, hypersalinity, and high biological oxygen demand. These conditions reduce the amount of photosynthetically-derived oxygen in the plant causing sulphide intrusion into meristematic tissues. Using a bay-wide sampling design and long-term monitoring trends of seagrass condition, we investigated the current state of the meadows, sediment characteristics (e.g., organic matter, sulphide, nutrients) and discuss how climate stressors interact with plant and sediment oxygen dynamics. Our survey revealed that at sites where seagrass had been previously denuded by die-off, the dominant seagrass Thalassia testudinum had not recovered, while the pioneering seagrass Halodule wrightii recolonized the impacted areas. Organic matter and sulphide levels were higher at the impacted sites, apparently a persistent characteristic of the formerly dense T. testudinum meadows in central and western Florida Bay. These sediment conditions promote sulphide intrusion of T. testudinum belowground tissue under anoxic conditions. Plant oxidation initially buffers sulphide intrusion, but disruption of this oxidation mechanism due to changing environmental conditions results in widespread mortality and seagrass community collapse. Climate change cannot be fully mitigated by local management, however, attempts can be made to control critical salinity and oxygen levels by increasing freshwater input, reducing hypersalinity and aiming to keep the internal seagrass oxidation feedback intact. Our study shows that the Florida Bay seagrass ecosystem is still recovering four years post die-off and continues to be susceptible to future climate change and system degradation.

Pathways to identify and reduce uncertainties in agricultural climate impact assessments.

Both climate and impact models are essential for understanding and quantifying the impact of climate change on agricultural productivity. Multi-model ensembles have highlighted considerable uncertainties in these assessments, yet a systematic approach to quantify these uncertainties is lacking. We propose a standardized approach to attribute uncertainties in multi-model ensemble studies, based on insights from the Agricultural Model Intercomparison and Improvement Project. We find that crop model processes are the primary source of uncertainty in agricultural projections (over 50%), excluding unquantified hidden uncertainty that is not explicitly measured within the analyses. We propose multidimensional pathways to reduce uncertainty in climate change impact assessments.

Association of ambient temperature on acute ischemic stroke in Yancheng, China

BackgroundAcute ischemic stroke (AIS) is a major global public health issue. There is limited research on the relationship between ambient temperature and AIS hospital admissions, and the results are controversial. Our objective is to assess the short-term impact of ambient temperature on the risk of AIS hospital admissions in Yancheng, China.MethodsWe collected data on daily AIS hospital admissions, meteorological factors, and air quality in Yancheng from 2014 to 2019. We used Poisson regression to fit generalized linear models and distributed lag non-linear models to explore the association between ambient temperature and AIS hospital admissions. The effects of these associations were evaluated by stratified analysis by sex and age.ResultsFrom 2014 to 2019, we identified a total of 13,391 AIS hospital admissions. We observed that the influence of extreme cold and heat on admissions for AIS manifests immediately on the day of exposure and continues for a duration of 3–5 days. Compared to the optimal temperature (24.4 °C), the cumulative relative risk under extreme cold temperature (-1.3 °C) conditions with a lag of 0–5 days was 1.88 (95%CI: 1.28, 2.78), and under extreme heat temperature (30.5 °C) conditions with a lag of 0–5 days was 1.48 (95%CI: 1.26, 1.73).ConclusionsThere is a non-linear association between ambient temperature and AIS hospital admission risk in Yancheng, China. Women and older patients are more vulnerable to non-optimal temperatures. Our findings may reveal the potential impact of climate change on the risk of AIS hospital admissions.

Collaborative Governance on Energy Management Online Reporting According To Energy Conservation Policy

<p>Energy savings in Indonesia are still far from the expected target of only around 79,358 GWh/141,220 GWh. The achievement is based on online reporting of energy management by industry according to government regulation No. 70 of 2009 which is reported regularly every year. This is done by the government as support in reducing the impact of climate change that occurs today. The qualitative method used in this study was a collaborative governance process approach between the government and industry with a collaborative governance cycle that occurs, is then analyzed, and conclusions drawn. The research results obtained include difficulties in identifying industries because there are still differences in authority within different government agencies. There are still 30% of industries that meet the requirements but have not done online energy management reporting including the fulfillment of all energy management activities that must be carried out. Articles related to incentives and disincentives that have not been fully implemented by the government. Collaborative governance is very important to be applied in the division of tasks, functions, and roles of each party involved. So that all can run according to their rights and responsibilities so that the achievement of future energy saving targets can be achieved. </p>

Consequential versus attributional life cycle optimization of poultry manure management technologies in a food-energy-water-waste nexus

To model the environmental and economic tradeoffs of managing poultry manure wastes in a food-energy-water-waste nexus, this work builds a framework to conduct a combined life cycle and techno-economic optimization and a spatial analysis of poultry manure management technologies. To align with the United Nations Sustainable Development Goals 6: Clean Water and Sanitation and 13: Climate Action by mitigating the massive water and climate impacts induced by the common practice of fertilizer crops using direct land application of poultry manure, the framework minimizes freshwater eutrophication (FE) impact and climate change impact (GWP). To account for the circular economy, the net present value (NPV) is maximized to measure the economic feasibility of implementing alternative management pathways. A multi-objective mixed-integer non-linear programming framework accounts for the selection of direct land application, and waste to energy technologies, spatial variation in manure supply, facility sizing, and the products’ consumption and end-of-life. This optimization framework is evaluated for a case study in New York state. Under an attributional life cycle optimization, anaerobic digestion minimizes FE with an impact of 0.002 kg P-eq/ton manure, while using a consequential life cycle optimization, hydrothermal carbonization minimizes FE with an impact of −0.96 kg P-eq/ton manure. For both life cycle methodologies, pyrolysis with land application of biochar minimizes GWP. At the attributional life cycle assessment tradeoff point for GWP and NPV, minimum carbon credits of US$33/ton CO2-eq are necessary for a pyrolysis plant to have a positive NPV, implying that harnessing economies of scale or robust carbon accounting is necessary for the widespread adoption of pyrolysis as a poultry manure management technology.

Assessment of Different Frameworks for Addressing Climate Change Impact on Crop Production and Water Requirement

Various methodologies are used to estimate the impact of changing climatic factors, such as precipitation, temperature, and solar radiation, on crop production and water demand. In this study, the changes in rice yield, water demand, and crop phenology were estimated with varying CO2 concentration and an ensemble of general circulation models (GCMs), using a decision support system for agrotechnology transfer (DSSAT), a crop growth model. The measured CO2 concentration of 400 ppm from the Keeling curve, was used as the default CO2 concentration to estimate yield, water demand, and phenology. These outputs, obtained with the default concentration, were compared with the results from climate change scenarios’ concentrations. Further, the outputs corresponding to the ensembled GCMs’ climate data were obtained, and the results were compared with the ensembled crop model outputs simulated with each GCM. The yield was found to increase with the increase in CO2 concentration up to a certain threshold, whereas water demand and phenology were observed to decrease with the increase in CO2 concentration. The two approaches of the ensemble technique to obtain final outputs from DSSAT results did not show a large difference in the predictions.