Spatial and temporal variability in the nutritional quality of basal resources along a temperate river/estuary continuum

2018 ◽  
Vol 116 ◽  
pp. 1-12 ◽  
Author(s):  
Nicole B. Richoux ◽  
Leandro Bergamino ◽  
Sydney Moyo ◽  
Tatenda Dalu
Keyword(s):  
Temporal Variability ◽  
Nutritional Quality ◽  
River Estuary ◽  
Spatial And Temporal Variability ◽  
Basal Resources ◽  
Temperate River

scholarly journals FUZZY LOGIC IN THE SPATIAL AND TEMPORAL DISTRIBUTION IN THE QUALITY OF THE BEVERAGE IN CONILON COFFEE

2019 ◽  
Vol 14 (2) ◽  
pp. 163
Author(s):  
Abel Souza Da Fonseca ◽  
Julião Soares De Souza Lima ◽  
Samuel De Assis Silva ◽  
Maria Christina Junger Delôgo Dardengo ◽  
Alexandre Candido Xavier
Keyword(s):  
Spatial Dependence ◽  
Temporal Variability ◽  
Temporal Distribution ◽  
Spherical Model ◽  
Coffea Canephora ◽  
Descriptive Statistics ◽  
Fuzzy Classification ◽  
Spatial And Temporal Variability ◽  
Mouth Feel

<p>The objective in this study was to evaluate the spatial and temporal variability of the beverage quality by applying the fuzzy classification in the final global sensory analysis, for Coffea canephora Pierre ex A. Froehner, in two consecutive harvests. The studied variables were: fragrance (aroma), flavor, bitterness (sweetness), set, balance, cleaning, aftertaste, mouth feel, uniformity, salinity (acidity) and drink (global note). To the average overall scores of the drinks obtained on the cup-tasting at 80.0 points of a sampling, the mesh has applied the function of association of the fuzzy classification linear model to determine the degree of pertinence. The data were analyzed by the descriptive statistics and then by geostatistics to verify the existence and quantify the degree of spatial dependence of the variables. In the interval classified as “very good coffee” is found in the global average grade, in the two harvests. The methodology fuzzy applied in the global beverage note of the coffee conilon seminal made it possible to determine their spatial variability in the same distribution pattern in the two harvests, close ranges, and adjustments to the spherical model, which was confirmed by the spatial correlation of 61.6% among the fuzzy maps for the global score</p>

scholarly journals Spatial and temporal variability of groundwater quality of an Algerian aquifer: the case of Soummam Wadi

2016 ◽  
Vol 61 (4) ◽  
pp. 775-792 ◽  
Author(s):  
Nadir Benhamiche ◽  
Lamia Sahi ◽  
Sabrina Tahar ◽  
Hassiba Bir ◽  
Khodir Madani ◽  
...  
Keyword(s):  
Groundwater Quality ◽  
Temporal Variability ◽  
Spatial And Temporal Variability

scholarly journals Evaluation of spatial and temporal variability of pasture based on topography and the quality of the rainy season

2008 ◽  
Vol 9 (4) ◽  
pp. 209-229 ◽  
Author(s):  
J. R. Marques da Silva ◽  
José O. Peça ◽  
João M. Serrano ◽  
Mário J. de Carvalho ◽  
Paulo M. Palma
Keyword(s):  
Temporal Variability ◽  
Rainy Season ◽  
Spatial And Temporal Variability

Spatial and Temporal Variability of Water Quality of an Urbanized River in Algeria: The Case of Soummam Wadi

2010 ◽  
Vol 82 (8) ◽  
pp. 742-749 ◽  
Author(s):  
S. Maane-Messai ◽  
B. Laignel ◽  
A. Motelay-Massei ◽  
K. Madani ◽  
M. Chibane
Keyword(s):  
Water Quality ◽  
Temporal Variability ◽  
Spatial And Temporal Variability

scholarly journals Spatial and Temporal Variability of Posidonia oceanica Monitoring Indicators, Valencian Community, Spain

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3235
Author(s):  
Yolanda Fernández-Torquemada ◽  
Marta Díaz-Valdés ◽  
Andrés Izquierdo-Muñoz ◽  
José Luis Sánchez-Lizaso ◽  
Alfonso A. Ramos-Esplá
Keyword(s):  
Temporal Variability ◽  
Temporal Trends ◽  
Reference Conditions ◽  
Posidonia Oceanica ◽  
Ecological Condition ◽  
Spatiotemporal Variability ◽  
Spatial And Temporal Variability ◽  
Study Sites

This article presents the results from the long-term Water Framework Directive monitoring of Posidonia oceanica in the Valencian Community, Spain. A total of six areas where Posidonia occurs were studied. Locations were characterized by a different ecological condition: degraded Posidonia meadows; meadows in good conditions; meadows close to the best reference conditions. The spatiotemporal variability of different indicators were sampled from 2005 to 2017. Lower quality meadows are characterized by a lower density and coverage of Posidonia, a higher proportion of dead Posidonia, a higher proportion of plagiotropic rhizomes, smaller shoots, and higher epiphyte biomass, as well as the presence of foliar necrosis marks. For all study sites, the temporal trends indicated a decrease in the quality of the meadows from 2005 to 2011 and a recovery from 2012 to 2017. Some variability observed in the indicators such as P. oceanica cover in patchy meadows, could not be explained by changes in the meadow health.

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