scholarly journals Assessment of field pea (Pisum sativum L.) grain yield, aerial biomass and flowering date stability in Mediterranean environments

2017 ◽  
Vol 68 (11) ◽  
pp. 915 ◽  
Author(s):  
R. Iglesias-García ◽  
E. Prats ◽  
F. Flores ◽  
M. Amri ◽  
A. Mikić ◽  
...  
Keyword(s):  
Grain Yield ◽  
Interaction Analysis ◽  
Global Climate ◽  
Climatic Conditions ◽  
Field Analysis ◽  
Climate Data ◽  
Stability Parameters ◽  
Mean Values ◽  
Flowering Date ◽  
Mediterranean Environments

Mediterranean environments are of most interest to study pea adaptability to terminal drought conditions especially in the current context of global climate change. In our work we have tested nine pea cultivars in five South European and North African locations, characterised by different agro climatic conditions within the Mediterranean climate. Data were processed through the additive main effects and multiplicative interaction analysis. Grain yield, aboveground biomass and flowering date were assessed within each mega-environment with parametric and non-parametric methods, establishing ranks for the genotypes within each condition attending to their stability parameters and mean values. The field analysis revealed HR1 as a wide-adapted genotype, whereas others such as Desso showed the best adaptation in South Mediterranean areas. Our results also highlighted the potential interest of these genotypes and others (i.e. Messire and ZP108) in breeding programs and further studies on drought tolerance.

scholarly journals Evaluating the Tourist Climate Comfortable Period of China in a Changing Climate

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Dan-Dan Yu ◽  
Shan Li ◽  
Zhong-Yang Guo
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Scientific Evidence ◽  
Climatic Conditions ◽  
Climate Index ◽  
Climate Indices ◽  
Climate Data ◽  
Climate Conditions ◽  
Positive Effects ◽  
Changing Climate

The evaluation of climate comfort for tourism can provide information for tourists selecting destinations and tourism operators. Understanding how climate conditions for tourism evolve is increasingly important for strategic tourism planning, particularly in rapidly developing tourism markets like China in a changing climate. Multidimensional climate indices are needed to evaluate climate for tourism, and previous studies in China have used the much criticized “climate index” with low resolution climate data. This study uses the Holiday Climate Index (HCI) and daily data from 775 weather stations to examine interregional differences in the tourist climate comfortable period (TCCP) across China and summarizes the spatiotemporal evolution of TCCP from 1981 to 2010 in a changing climate. Overall, most areas in China have an “excellent” climate for tourism, such that tourists may visit anytime with many choices available. The TCCP in most regions shows an increasing trend, and China benefits more from positive effects of climate change in climatic conditions for tourism, especially in spring and autumn. These results can provide some scientific evidence for understanding human settlement environmental constructions and further contribute in improving local or regional resilience responding to global climate change.

scholarly journals Climate Data to Undertake Hygrothermal and Whole Building Simulations Under Projected Climate Change Influences for 11 Canadian Cities

Data ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 72 ◽  
Author(s):  
Abhishek Gaur ◽  
Michael Lacasse ◽  
Marianne Armstrong
Keyword(s):  
Climate Change ◽  
Snow Cover ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Internal Variability ◽  
Climatic Conditions ◽  
Climate Data ◽  
Wide Range ◽  
The Future

Buildings and homes in Canada will be exposed to unprecedented climatic conditions in the future as a consequence of global climate change. To improve the climate resiliency of existing and new buildings, it is important to evaluate their performance over current and projected future climates. Hygrothermal and whole building simulation models, which are important tools for assessing performance, require continuous climate records at high temporal frequencies of a wide range of climate variables for input into the kinds of models that relate to solar radiation, cloud-cover, wind, humidity, rainfall, temperature, and snow-cover. In this study, climate data that can be used to assess the performance of building envelopes under current and projected future climates, concurrent with 2 °C and 3.5 °C increases in global temperatures, are generated for 11 major Canadian cities. The datasets capture the internal variability of the climate as they are comprised of 15 realizations of the future climate generated by dynamically downscaling future projections from the CanESM2 global climate model and thereafter bias-corrected with reference to observations. An assessment of the bias-corrected projections suggests, as a consequence of global warming, future increases in the temperatures and precipitation, and decreases in the snow-cover and wind-speed for all cities.

scholarly journals Impact of Climate Change on Wine Tourism: An Approach through Social Media Data

2021 ◽  
Vol 13 (13) ◽  
pp. 7489
Author(s):  
Veronica Alampi Sottini ◽  
Elena Barbierato ◽  
Iacopo Bernetti ◽  
Irene Capecchi
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Additive Model ◽  
Climatic Conditions ◽  
Climate Data ◽  
Public And Private ◽  
Wine Tourism ◽  
Public And Private Stakeholders ◽  
Using Data ◽  
Tourism Flows

Wine tourism is one of the best opportunities for rural development, but because it is partially exposed to climatic conditions, it is a climate-vulnerable tourism activity. However, an understanding of the potential impacts of global climate change on this popular activity remains limited. This study proposes a new methodology that combines current daily gridded climate data from the E-OBS project with big spatiotemporal data from the Flickr photo-sharing platform through a generalized additive model This methodology was implemented to study the potential impacts on tourism flows due to climate change and to make predictions about the future using data from the CMIP5 project. We applied the methodology to 5 European wine tourism regions: Alsace (FR), Chianti (IT), La Rioja (SP), Langhe-Monferrato (IT), and Moselle (DE). Results show an increased probability of presence and increased deseasonalization of tourism in all study areas and an anticipation of peak presence from summer to spring in three of the five regions. We believe that these results can be useful for public and private stakeholders to adapt the offer of wine tourism services to changes in demand and to direct the organization of events such as festivals and thematic tours.

scholarly journals Is New Always Better? Frontiers in Global Climate Datasets for Modeling Treeline Species in the Himalayas

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 543
Author(s):  
Maria Bobrowski ◽  
Johannes Weidinger ◽  
Udo Schickhoff
Keyword(s):  
Global Climate ◽  
Current Model ◽  
Model Performance ◽  
Ecological Modeling ◽  
Climatic Conditions ◽  
Data Availability ◽  
High Mountain ◽  
Climate Data ◽  
Model Quality ◽  
Modeling Studies

Comparing and evaluating global climate datasets and their effect on model performance in regions with limited data availability has received little attention in ecological modeling studies so far. In this study, we aim at comparing the interpolated climate dataset Worldclim 1.4, which is the most widely used in ecological modeling studies, and the quasi-mechanistical downscaled climate dataset Chelsa, as well as their latest versions Worldclim 2.1 and Chelsa 1.2, with regard to their suitability for modeling studies. To evaluate the effect of these global climate datasets at the meso-scale, the ecological niche of Betula utilis in Nepal is modeled under current and future climate conditions. We underline differences regarding methodology and bias correction between Chelsa and Worldclim versions and highlight potential drawbacks for ecological models in remote high mountain regions. Regarding model performance and prediction plausibility under current climatic conditions, Chelsa-based models significantly outperformed Worldclim-based models, however, the latest version of Chelsa contains partially inherent distorted precipitation amounts. This study emphasizes that unmindful usage of climate data may have severe consequences for modeling treeline species in high-altitude regions as well as for future projections, if based on flawed current model predictions. The results illustrate the inevitable need for interdisciplinary investigations and collaboration between climate scientists and ecologists to enhance climate-based ecological model quality at meso- to local-scales by accounting for local-scale physical features at high temporal and spatial resolution.

scholarly journals Evaluation of stability in maize hybrids using univariate parametric methods

2021 ◽  
Author(s):  
Seyed Habib Shojaei ◽  
Khodadad Mostafavi ◽  
Amirparviz Lak ◽  
Ali Omrani ◽  
Saeed Omrani ◽  
...  
Keyword(s):  
Grain Yield ◽  
Climatic Conditions ◽  
High Yield ◽  
Environment Interaction ◽  
Average Yield ◽  
Stability Parameters ◽  
Environmental Variance ◽  
Maize Hybrids ◽  
Genotype Environment Interaction ◽  
The Stability

AbstractGenotype × environment interaction is one of the complex issues of breeding programs to produce high-yielding and compatible cultivars. Interaction of genotype × environment and make the more accurate selection, the performance and stability of hybrids need to be considered simultaneously. This study aimed to investigate stable genotypes with yield using 12 maize hybrids in different climatic conditions of Iran. The experimental design used was a randomized complete blocks design in three replications in two cropping years in Karaj, Birjand, Shiraz, and Arak stations. The simple analysis of variance performed on grain yield of genotypes indicated that all hybrids studied each year and station were significantly different in grain yield. Also, the combined analysis results showed a significant effect on the environment, the effects of genotype, and the interaction of genotype × environment and t in the studied hybrids different. Comparing Duncan's mean on the data obtained from the research, KSC705 genotypes with an average yield of 7.21 and KSC704 genotype with an average yield of 7.04 were identified as high yield cultivars. In order to identify stable cultivars, six stability parameters were used. KSC260 and KSC707 genotypes had stability Based on the environmental variance, also had stability based KSC705, KSC707 genotype on environmental the coefficient of variation, and KSC260 genotypes had stability based methods of genotype and environment interaction. As well as based on Eberhart and Russell regression coefficient had the stability to KSC400 and SC647 genotypes. Also, they were identified as the most stable genotypes based on the detection coefficient method, KSC707, and KSC703 genotypes.

scholarly journals Risk of flood to the light of global climate change in Northeastern Argentina

2000 ◽  
Vol 21 ◽  
Author(s):  
Eliseo Popolizio
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Environmental Changes ◽  
Global Climate ◽  
Drainage System ◽  
Climatic Conditions ◽  
Mitigation Measures ◽  
Quaternary Period ◽  
Mean Values ◽  
Northeastern Region

During the 20th century, several catastrophic pluvial and fluvial floods took place over the northeastern region of Argentina. These disastrous floods caused great damage worth hundreds of millions of US dollars. The rehabilitation programme was supported by regional economies. The idea of this paper is to point out the risks of greater floods as a consequence of the global climatic change. The experiences obtained from the palaeogeomorphological research, historical data over the regional rivers, and the climatic and environmental changes are taken into account in this research. The record of the geomorphological study of the region strongly suggests that in past epochs, different wet and dry periods occurred with the global climate change, especially in the Quaternary Period. It is possible to infer that the region is very sensitive to these changes and anthropogenic action. On the other hand, environmental and climatic conditions show a tendency of tropicalising the area. In this case, consequences are unpredictable if the processes are evolving rapidly. It is possible to observe that after the 1960's, the characteristics of the fluvial courses are changing. The changes are in the direction of the maximum and minimum amplitudes with the same mean values. Besides, the frequency of large floods has increased from the 1960’s. The Parana River, the largest fluvial course of the region, serves as a model for the propositions mentioned above. This is because we have historical records from 1748 on high flood levels and hydrometrical measurements from 1900. The northeastern region is a very vast and flat plain with an inefficient drainage system. This physical framework induces pluvial flooding, which covers millions of hectares. True catastrophes develop when pluvial and fluvial floods coincide. The record of overflows has a recurrence period of less than 50 years. This strongly suggests a very high risk. In the 21st century, it is very probable that flooding phenomena greater than known will occur. But no mitigation measures are planned to face them.

scholarly journals IMPROVING THE ENERGY EFFICIENCY OF ARCHITECTURAL SOLUTIONS IN CONTEXT OF CLIMATE CHANGE SCENARIOS

2021 ◽  
Vol 7 (1) ◽  
pp. 87-95
Author(s):  
Shuldan L ◽  
Keyword(s):  
Energy Efficiency ◽  
Global Climate ◽  
Climatic Conditions ◽  
Climate Change Scenarios ◽  
Climate Data ◽  
Climate Trends ◽  
Medium Term ◽  
Current State ◽  
Climatic Transition

The global climate system shows signs of rapid changes called a Climatic Transition in specialized literature. The article has studied climate trends in territorial (global, macro-climatic, meso-climatic, and micro-climatic) and time limits (historical overview; current state; long-term, medium-term, and short-term prospects). The most probable medium-term forecasts until 2050 have been taken as a basis. The climate data analysis for the previous 60 years has been carried out and continued by our research with linear averaging of data for 2009-2020, the dynamics of main parameters changes on the territory of Ukraine and for Lviv city have been determined. The main requirements for architectural solutions in various climatic conditions have been formulated. Correlation analysis of energy efficiency improvements in architecture and current external micro-climatic conditions has been performed. It has been proposed to make appropriate changes to the regulatory documents.

scholarly journals Assessment on spatial extent of arid and semi-arid climatic zones of India using GIS

2021 ◽  
Vol 23 (2) ◽  
pp. 189-193
Author(s):  
NISHA SAHU ◽  
G. P. OBI REDDY ◽  
B. DASH ◽  
NIRMAL KUMAR ◽  
S. K. SINGH
Keyword(s):  
Crop Production ◽  
Global Climate ◽  
Climatic Conditions ◽  
Spatial Extent ◽  
Data Sets ◽  
Climate Data ◽  
Moisture Index ◽  
Climatic Zones ◽  
Temporal And Spatial ◽  
Semi Arid

In this study, a quantitative assessment of spatial extent of arid and semi-arid climatic zones of India was performed for the period from 1988 to 2018 using potential evapo-transpiration (PET) calculated by Modified Penman Method, estimated from global climate data sets. Climatic water balances computed for 625 stations across the country are used for classifying to bio-climate types based on moisture index and areas falling under arid climatic zones in India are delineated using ArcGIS 10.5. It was noticed a considerable changes in the country’s arid and semi-arid climatic zones between the two periods; 1992 and 2018. Overall, there has been a net percent change in hyper arid, typic arid and semi arid (dry) areas is 5.62, 1.62 and 7.17 percent, respectively. Dryness and wetness are increasing in different parts of the country. There is also change in rainfall, PET and moisture index over a period of time which is vital to determine aridity pattern of any region. Thus, results are of great significance for studying the assessment of temporal and spatial dry climatic water balance of India, which can help immensely in the management of water resources and sustainability of crop production under changing climatic conditions.

G × E interaction studies in relation to heterosis and stability of grain yield in maize (Zea mays L.)

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
K. Sumalini ◽  
T. Pradeep ◽  
D. Sravani
Keyword(s):  
Grain Yield ◽  
Zea Mays L ◽  
Yield Stability ◽  
Superior Performance ◽  
Dominant Effect ◽  
Stability Parameters ◽  
Hybrid Classes ◽  
Maize Inbreds ◽  
Comparative Stability ◽  
Potential Use

Interaction of homozygous inbreds and heterozygous single, three way and double crosses with environment had shown a differential response in achieving yield stability. Seven diverse maize inbreds, their 21 single crosses and 105 each of three way and double crosses obtained through diallel were evaluated for twelve characters across three diverse locations to estimate comparative stability of homozygous and heterozygous genotypes for grain yield. Contrasts in heterobeltiosis, combining ability and stability parameters in three environments and interaction effects were observed. Gain in heterobeltiosis (%) for grain yield was observed with decreased environmental quality in different hybrid classes suggesting that heterozygous hybrids are more stable due to individual buffering in single crosses and both individual and population buffering in case of three way and double crosses. Significant increase in SCA effects was observed in moderate environment at Hyderabad rather than at high yielding environment Palem. Significant G × E and Environment (linear) in all the crosses was observed for grain yield suggesting the effect of environment and its pre dominant effect on grain yield. Stability of hybrids was attributed to their superior performance over the parents in low yielding environment. Thus the potential use of selected heterozygous hybrids would allow under diverse environments is suggested to mitigate losses arising out of climate change.

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