Effects of agro-climatic variables on yield of selected varieties of rice in Taraba State, Nigeria

2021 ◽  
Vol 13 (1) ◽  
pp. 32-39
Author(s):  
A. Ezra ◽  
A.A. Adebayo ◽  
A.S. Umar ◽  
I.K. Martins
Keyword(s):  
Climatic Variables

No Abstract.

Trend Assessment in Climatic Variables by Mann Kendall and t-test: A Case Study of Yavatmal District in Vidarbha, India

2012 ◽  
Vol 2 (5) ◽  
pp. 597-600 ◽  
Author(s):  
D. T. Deshmukh D. T. Deshmukh ◽  
◽  
H. S. Lunge H. S. Lunge
Keyword(s):  
T Test ◽  
Climatic Variables ◽  
Trend Assessment

PREDICTING HILLSLOPE SEDIMENT DISTRIBUTION USING LOCAL CLIMATIC VARIABLES

2016 ◽  
Author(s):  
Shirin Leclere ◽  
◽  
Leonard S. Sklar ◽  
Jennifer Genetti
Keyword(s):  
Climatic Variables ◽  
Sediment Distribution

scholarly journals The Effect of Climate and Human Pressures on Functional Diversity and Species Richness Patterns of Amphibians, Reptiles and Mammals in Europe

Diversity ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 275
Author(s):  
Mariana A. Tsianou ◽  
Maria Lazarina ◽  
Danai-Eleni Michailidou ◽  
Aristi Andrikou-Charitidou ◽  
Stefanos P. Sgardelis ◽  
...  
Keyword(s):  
Species Richness ◽  
Functional Diversity ◽  
Agricultural Land ◽  
Influential Factor ◽  
Climatic Variables ◽  
Quadratic Entropy ◽  
Functional Richness ◽  
Precipitation Seasonality ◽  
Rao’S Quadratic Entropy ◽  
Richness Patterns

The ongoing biodiversity crisis reinforces the urgent need to unravel diversity patterns and the underlying processes shaping them. Although taxonomic diversity has been extensively studied and is considered the common currency, simultaneously conserving other facets of diversity (e.g., functional diversity) is critical to ensure ecosystem functioning and the provision of ecosystem services. Here, we explored the effect of key climatic factors (temperature, precipitation, temperature seasonality, and precipitation seasonality) and factors reflecting human pressures (agricultural land, urban land, land-cover diversity, and human population density) on the functional diversity (functional richness and Rao’s quadratic entropy) and species richness of amphibians (68 species), reptiles (107 species), and mammals (176 species) in Europe. We explored the relationship between different predictors and diversity metrics using generalized additive mixed model analysis, to capture non-linear relationships and to account for spatial autocorrelation. We found that at this broad continental spatial scale, climatic variables exerted a significant effect on the functional diversity and species richness of all taxa. On the other hand, variables reflecting human pressures contributed significantly in the models even though their explanatory power was lower compared to climatic variables. In most cases, functional richness and Rao’s quadratic entropy responded similarly to climate and human pressures. In conclusion, climate is the most influential factor in shaping both the functional diversity and species richness patterns of amphibians, reptiles, and mammals in Europe. However, incorporating factors reflecting human pressures complementary to climate could be conducive to us understanding the drivers of functional diversity and richness patterns.

scholarly journals Provenance Trials of the Mexican Spruces in Nursery Conditions: Three Species Endangered by Climatic Variation

2020 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
José Marcos Torres-Valverde ◽  
José Ciro Hernández-Díaz ◽  
Artemio Carrillo-Parra ◽  
Eduardo Mendoza-Maya ◽  
Christian Wehenkel
Keyword(s):  
Cluster Analysis ◽  
Genetic Differentiation ◽  
Local Adaptation ◽  
Quantitative Traits ◽  
Climatic Factors ◽  
Climatic Variation ◽  
Climatic Variables ◽  
Provenance Trials ◽  
Survival And Growth ◽  
Picea Species

The three Mexican spruces’ distributions are fragmented, which could lead to phenological, morphological and genetic differentiation, partially caused by local adaptation. In this study, we examined the effect that climatic variables had on the survival and growth of 5641 Picea seedlings, coming from eight seed provenances of three species and produced in identical nursery conditions. The respective responses of each species and provenance can be considered as a proxy of the genetic differentiation and adaptation of each population. A cluster analysis revealed: (i) significant differences in genetic quantitative traits among the three Picea species and (ii) significant correlations between genetic quantitative traits and climatic factors.

Climatic Variables Differentially Influence Neotropical Plant Species of Conservation Concern

2021 ◽  
pp. 1-16
Author(s):  
Pablo Antúnez ◽  
Christian Wehenkel ◽  
Collins Byobona Kukunda ◽  
José Ciro Hernández-Díaz
Keyword(s):  
Plant Species ◽  
Climatic Variables ◽  
Species Of Conservation Concern ◽  
Conservation Concern

Microalgal secondary metabolites: effect of climatic variables, seasons, and photocycles on the biogeneration of volatile organic compounds (VOCs)

2021 ◽  
Author(s):  
Rafaela Basso Sartori ◽  
Stefania Fortes Siqueira ◽  
Mariana Manzoni Maroneze ◽  
Mariane Bittencourt Fagundes ◽  
Roger Wagner ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Secondary Metabolites ◽  
Organic Compounds ◽  
Climatic Variables ◽  
Volatile Organic

scholarly journals Time Series Analysis of Climatic Variables in Peninsular Spain. Trends and Forecasting Models for Data between 20th and 21st Centuries

Climate ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 119
Author(s):  
Pitshu Mulomba Mukadi ◽  
Concepción González-García
Keyword(s):  
Time Series ◽  
Temperature Series ◽  
Climatic Variables ◽  
Monthly Precipitation ◽  
Agricultural Crops ◽  
Arima Models ◽  
Cover Time ◽  
Pests And Diseases ◽  
Historical Series ◽  
Preliminary Phase

Time series of mean monthly temperature and total monthly precipitation are two of the climatic variables most easily obtained from weather station records. There are many studies analyzing historical series of these variables, particularly in the Spanish territory. In this study, the series of these two variables in 47 stations of the provincial capitals of mainland Spain were analyzed. The series cover time periods from the 1940s to 2013; the studies reviewed in mainland Spain go up to 2008. ARIMA models were used to represent their variation. In the preliminary phase of description and identification of the model, a study to detect possible trends in the series was carried out in an isolated manner. Significant trends were found in 15 of the temperature series, and there were trends in precipitation in only five of them. The results obtained for the trends are discussed with reference to those of other, more detailed studies in the different regions, confirming whether the same trend was maintained over time. With the ARIMA models obtained, 12-month predictions were made by measuring errors with the observed data. More than 50% of the series of both were modeled. Predictions with these models could be useful in different aspects of seasonal job planning, such as wildfires, pests and diseases, and agricultural crops.

scholarly journals The study of urban climate and traffic: Considerations from the Araraquara case, SP

2019 ◽  
Vol 111 ◽  
pp. 02070
Author(s):  
Clélia Mendonça de Moraes ◽  
Edson Melanda ◽  
Nilson Roberto de Barros Carneiro
Keyword(s):  
Urban Planning ◽  
Solar Radiation ◽  
Traffic Accident ◽  
Urban Climate ◽  
Urban Sustainability ◽  
Climatic Variables ◽  
Urban Mobility ◽  
Urban Geometry ◽  
Green Areas ◽  
Urban Microclimates

The article discusses the interface between the influence of the urban climate and the traffic accident, there are as reference the results of the research carried out for the Araraquara case, SP, Brazil. Initially presented a brief analysis of urban mobility, geoprocessing (GIS) and the climatic importance in relation to urban sustainability. The article analyzes the urban climate of Araraquara, especially with regard to solar radiation on city streets and green areas. It was based on the premise that there is a correlation between the urban microclimates and the variables related to the traffic accident. Thus, a georeferenced mapping of the urban geometry was carried out by associating the climatic variables such as solar radiation, temperature and humidity of the air, to three parameters related to the traffic accident were chosen from the a) traffic accident with victim, b) without victim and c) motorcycle. At the end, the article proposes how the results found can reduce traffic accident and contribute to urban planning

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