scholarly journals Spatial-temporal Analysis of Gummosis in Three Cashew Clones at Northeastern Brazil

2010 ◽  
Vol 158 (10) ◽  
pp. 676-682 ◽  
Author(s):  
Alex Q. Cysne ◽  
José E. Cardoso ◽  
Aline de Holanda N. Maia ◽  
Fabio C. Farias
Keyword(s):  
Temporal Analysis ◽  
Northeastern Brazil ◽  
Spatial Temporal Analysis

scholarly journals Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil

2020 ◽  
Vol 102 (3) ◽  
pp. 829-849 ◽  
Author(s):  
Richarde Marques da Silva ◽  
Celso Augusto Guimarães Santos ◽  
Jorge Flávio Cazé Braga da Costa Silva ◽  
Alexandro Medeiros Silva ◽  
Reginaldo Moura Brasil Neto
Keyword(s):  
Regional Scale ◽  
Temporal Analysis ◽  
Northeastern Brazil ◽  
Annual Rainfall ◽  
Positive Trend ◽  
Monthly Data ◽  
Rainfall Trends ◽  
Detailed Statistical Analysis ◽  
The Mean ◽  
Spatial Temporal Analysis

Abstract The main goals of this study are to better understand the spatial and temporal variabilities in rainfall and to identify rainfall trends and erosivity for the period from 1963 to 1991 in the Epitácio Pessoa reservoir catchment, which is located in Paraíba, northeastern Brazil. This study analyzes annual rainfall trends on a regional scale by using monthly data from 13 rainfall stations. For this purpose, the nonparametric Mann–Kendall and Sen methods were used in the analysis. Descriptive statistics methods and interpolation techniques were also used for spatial–temporal analysis of the annual rainfall. A detailed statistical analysis applied to the time series of all the stations indicates that the rainfall presents substantial annual spatial–temporal variability and a negative trend (decrease) in the mean rainfall at most of the rainfall stations in the catchment during the study period. The results only showed a positive trend for the Soledade and Pocinhos stations. The distribution of positive and negative trends in the Epitácio Pessoa reservoir catchment is extremely irregular, and the changes in the study area are more significant compared to those identified in other studies. Graphic abstract

scholarly journals Emprego do Índice de Anomalia de Chuva na Variabilidade Pluviométrica da Microrregião Do Curimataú Oriental no Estado da Paraíba

2021 ◽  
Vol 14 (6) ◽  
pp. 3193
Author(s):  
Maxsuel Bezerra do Nascimento ◽  
Janaina Aparecida Cezário ◽  
José Ludemario da Silva Medeiros ◽  
Tássio Jordan Rodrigues Dantas da Silva ◽  
William De Paiva ◽  
...  
Keyword(s):  
Water Management ◽  
Climatic Variability ◽  
Temporal Analysis ◽  
The State ◽  
The Other ◽  
Northeastern Brazil ◽  
Precipitation Anomalies ◽  
Executive Agency ◽  
Spatial Temporal Analysis ◽  
Anomaly Index

O estudo do clima vem se intensificando desde o século XX com o intuito de verificar as variações climáticas no espaço-tempo” em todo o território brasileiro. Deste modo é notório tentar entender como há uma grande variabilidade pluviométrica, principalmente nos estados do nordeste brasileiro. O objetivo principal deste trabalho é verificar e avaliar a variabilidade pluviométrica da microrregião do Curimataú Oriental no Estado da Paraíba, através da análise espaço-temporal mensal e anual da precipitação. Identificou-se assim os períodos secos e chuvosos da área estudada com o auxílio do Índice de Anomalia de Chuva (IAC). Os dados pluviométricos utilizados na pesquisa correspondem às séries mensais de precipitação no período de 1994 a 2017, fornecidos pela Agência Executiva de Gestões das Águas do Estado da Paraíba. A microrregião do Curimataú Oriental apresenta dois períodos distintos, um de sete meses chuvosos e outro com cinco meses secos. Completa-se ainda que o IAC é um instrumento de expressiva importância na análise desses dados, pois demonstra eficiência para averiguar os períodos extremos (úmidos e secos) e para realizar o monitoramento da precipitação de uma determinada região, município e/ou bacia hidrográfica.     Employment of the Rain Anomaly Index in the Pluviometric Variability of the Micro-Region of the Oriental Curimataú in the State of Paraíba A B S T R A C T The study of climate has been intensifying since the 20th century to investigate space-time throughout the Brazilian territory. Thus, it is notorious to try to understand how there is a great climatic variability, mainly in the states of northeastern Brazil. The main objective of this work is to verify and evaluate the climatic variability of the eastern Curimataú microregion in the State of Paraíba, through the monthly and annual spatial-temporal analysis of its precipitation. Thus, the dry and rainy periods of the studied area were identified with the aid of the Rain Anomaly Index (IAC). The pluviometric data used in the research correspond to the monthly series of precipitation in the period from 1994 to 2017, provided by the Executive Agency for Water Management of the State of Paraíba. The Curimataú Oriental microregion has two distinct periods, one with seven rainy months and the other with five dry months. It is also completed that the IAC is an instrument of significant importance in the analysis of these data, as it demonstrates efficiency to ascertain the extreme periods (wet and dry) and to verify the monitoring of a certain region, municipality and / or hydrographic basin.Keyword: Precipitation anomalies, Periods, Variability.

Spatial-Temporal Analysis of Mortality Using Splines

Biometrics ◽  
1995 ◽  
Vol 51 (4) ◽  
pp. 1352 ◽  
Author(s):  
A. van der Linde ◽  
K.-H. Witzko ◽  
K.-H. Jockel
Keyword(s):  
Temporal Analysis ◽  
Spatial Temporal Analysis

scholarly journals Gross Primary Production and False Spring: a spatio-temporal analysis

2020 ◽  
Author(s):  
Emma Izquierdo-Verdiguier ◽  
Raúl Zurita-Milla ◽  
Álvaro Moreno-Martinez ◽  
Gustau Camps-Valls ◽  
Anja Klisch ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Primary Production ◽  
Gross Primary Production ◽  
Damage Index ◽  
Temporal Analysis ◽  
Environmental Stressors ◽  
Impact Of Climate Change ◽  
False Spring ◽  
Spatial Temporal Analysis

<p>Phenological information can be obtained from different sources of data. For instance, from remote sensing data or products and from models driven by weather variables. The former typically allows analyzing land surface phenology whereas the latter provide plant phenological information. Analyzing relationships between both sources of data allows us to understand the impact of climate change on vegetation over space and time. For example, the onset of spring is advanced or delayed by changes in the climate. These alterations affect plant productivity and animal migrations.</p><p>Spring onset monitoring is supported by the Extended Spring Index (SI-x), which are a suite of regression-based models for key indicator plant species. These models (Schwartz et al. in 2013) are based on daily maximum and minimum temperature from the first day of the year (January 1<sup>st</sup>). The primary products of these models are the timing of first leaf and first bloom, but they also provide derivative products such as the timing of last freeze day and the risk of frost damage day (damage index) for each year. This information helps to understand if vegetation could have suffered from environmental stressors such as droughts or a late frost events. The effects of environmental stressors in vegetation could be captured by the false spring index, which relates the first leaf day and the last freeze day. Moreover, this information could be used to understand plant productivity as well as to evaluate the economic impact of climate change.</p><p>Previous works studied the relationship between remote sensing and plant level products by means of spatial-temporal analysis between Gross Primary Production (GPP) and a spring onset index. However, they did not consider the possible impact of false spring effect in these relationships. Here, we present a spatial-temporal analysis between GPP and the damage index to better understand the effect of false springs (in annual gross photosynthesis data). The analysis is done for the period 2000 to 2015 over the contiguous US and at spatial resolution of 1 km. We used the MODIS annual sum of GPP and the damage and false spring indices derived from the SI-x models.</p>

scholarly journals Sustainable use of an extractivist reserve: a spatial-temporal analysis of environmental dynamics

2017 ◽  
Vol 4 (7) ◽  
pp. 195-201
Author(s):  
Joélia Natália Bezerra da Silva ◽  
Janaína Vital de Albuquerque ◽  
Luana de Oliveira Rodrigues
Keyword(s):  
Remote Sensing ◽  
Temporal Dynamics ◽  
Vegetation Indices ◽  
Sustainable Use ◽  
Temporal Analysis ◽  
Conservation Unit ◽  
Climatic Regions ◽  
Cardisoma Guanhumi ◽  
Surrounding Areas ◽  
Spatial Temporal Analysis

Due to its large territory, Brazil has different climatic regions, which determines biome variations and equally diverse ecosystems, of this variety of vegetal landscapes, accompanies the diversity of climates. In this context, results of studies carried out locally, which guide measures, decision-making laws and regulations that reach large scales in the territory, need to be carefully planned, because there is a high risk of disregarding environmental specificities of the studied areas. Therefore, this study aimed to analyze the environmental dynamics resulting from the impacts of the last decades that have affected the habitat of the guaiamum (Cardisoma guanhumi) in the Acaú-Goiana Extractivist Reserve (RESEX) and surrounding areas. The analysis of the spatial-temporal dynamics, in the RESEX and adjacent areas, was made from the vegetation indices (SAVI) through remote sensing. In this way, three images of the RESEX were analyzed, two from the year 2010 and one from 2015, in which the RESEX was already in full legal operation. It is noticeable that there are some areas within the Conservation Unit with small plots of exposed soil, which can demonstrate the occurrence of fires.

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