Analysis and Distribution of the Rainfall Monitoring Network in a Brazilian Pantanal Region

Cristaldo, Marcia Ferreira; Souza, Celso Correia de; Jesus, Leandro de; Padovani, Carlos Roberto; Oliveira, Paulo Tarso Sanches de; Viganó, Hevelyne Henn da Gama

doi:10.1590/0102-77863220007

Cited by 23 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The annual average temperature is 26°C (ranging from 12 to 40°C), with the highest average temperature occurring between September and October, and the annual precipitation ranging from 1200 to 1300 mm (Cristaldo et al . 2017).…”

Section: Methodsmentioning

confidence: 99%

“…The regional climate is Aw (tropical hot-wet), with a rainy summer and dry winter according to the K€ oppen classification (Alvares et al 2013). The annual average temperature is 26°C (ranging from 12 to 40°C), with the highest average temperature occurring between September and October, and the annual precipitation ranging from 1200 to 1300 mm (Cristaldo et al 2017).…”

Section: Study Areamentioning

confidence: 99%

See 1 more Smart Citation

Environmental drivers of taxonomic and functional diversity of dung beetles across a chronosequence of tropical grasslands with different cattle grazing removal ages

Correa

Silva

2022

Austral Ecology

View full text Add to dashboard Cite

Livestock is a globally widespread farming practice, with benefits and harms for biodiversity. Biodiversity responses to vegetation and soil conditions associated with cattle grazing removal are poorly understood in tropical grassy ecosystems, especially in a long-term chronosequence. In this study, we aimed to identify the main drivers of local conditions on dung beetle taxonomic and functional diversity across a chronosequence of natural grasslands with different cattle grazing removal ages. We expect that vegetation and soil variables associated with environmental changes caused by longer time after cattle grazing removal will drive the taxonomic and functional diversity of dung beetles. We sampled dung beetles and recorded local environmental filters (vegetation and soil variables) in 14 natural grasslands with distinct cattle grazing removal ages (from 3 months to 22 years) and also in 10 reference sites (with cattle grazing). We used structural equation models to evaluate the relationships between the most informative explanations (vegetation and soil variables) of dung beetle taxonomic and functional metrics. Our results provide evidences that local conditions related to vegetation and soil variables in natural grasslands affect the taxonomic and functional diversity of dung beetles differently. Soil conditions (compaction and silt content) had more influence, mostly negative, on taxonomic metrics, while vegetation complexity had more influence on functional metrics, with positive or negative effects depending on the functional metric evaluated. Understanding the temporal change in vegetation and soil conditions can shed light on the process of recovering biodiversity and ecosystem functions in areas with different times of abandonment of livestock farming. Finally, using taxonomic and functional approaches together can also help to better understand how organisms are responding to the process of abandoning livestock farming over time.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Environmental drivers of taxonomic and functional diversity of dung beetles across a chronosequence of tropical grasslands with different cattle grazing removal ages

Correa

Silva

2022

Austral Ecology

View full text Add to dashboard Cite

show abstract

“…Sampling was undertaken in the transition area between the Cerrado and Pantanal ecosystems in Aquidauana, Mato Grosso do Sul, Brazil (20 28 0 15 00 S, 55 47 0 13 00 W). The climate is classified as tropical hotwet (Aw, Köppen) (Alvares et al 2014) with annual rainfall ranging from 1,200 to 1,300 mm and mean annual temperature of 26 C (Cristaldo et al 2017).…”

Section: Study Sitesmentioning

confidence: 99%

Patterns of alimentary resource use by dung beetles in introduced Brazilian pastures: Cattle versus sheep dung

Correa

Peres

Holdbrook

2020

Entomological Science

View full text Add to dashboard Cite

Dung beetles (Coleoptera: Scarabaeidae) perform essential ecological functions in pastures, such as dung removal, nutrient recycling and parasite control. However, the patterns of alimentary use by dung beetles in introduced Brazilian pastures are poorly known. Here, we compared dung beetle species richness, abundance and species composition in cattle and sheep dung, and identified the dung beetle species preference by each dung type. In January 2019, dung beetles were sampled with pitfall traps baited with cattle and sheep dung in 12 introduced pastures (Urochloa spp.), in Aquidauana, Mato Grosso do Sul, Brazil. A total of 592 individuals belonging to 14 species of dung beetles were collected. Of the 14 species sampled, nine were recorded in both dung types, five were found exclusively in sheep dung and no species was exclusive to cattle dung. Species richness and abundance were higher in sheep dung. Species composition was different between the dung types. Dichotomius bos (Blanchard), Genieridium bidens (Balthasar), Onthophagus aeneus Blanchard and Trichillum externepunctatum Preudhomme de Borre were associated with sheep dung. Our results provide evidence that sheep dung is more attractive to dung beetles with a distinct community species between the two dung types, although the studied pastures have never been used before for sheep breeding. Thus, our data shows that the introduction of a new alimentary resource (e.g. sheep dung) can be an important strategy to help to obtain a more diverse dung beetle assemblage in introduced Brazilian pastures.

show abstract

“…Thus, crop yield estimation models to increase the reliability should consider a climatic center, which rainfall forecasts are closer to the gold standard measures in a study region. The main source of water for an agricultural system comes from rainfall, which can be modeled using a gamma distribution (Sadiq, 2014;Cristaldo, 2017;Hasan et al, 2019).…”

Section: Journal Of Agricultural Studiesmentioning

confidence: 99%

Concordance Modeling With a Gold Standard for Variables From the Three-Parameter Gamma Distribution

Oliveira

Uribe-Opazo²,

Galea³

et al. 2020

JAS

View full text Add to dashboard Cite

A way to compare two or more measurements for the same random variable can be achieved by using a negligible error reference measurement, which is called the gold standard, obtained by consolidated measurement methods. This paper presents a new methodology for comparing measurements in the presence of a gold standard with random variables from the multivariate three-parameter (shape, scale, and location) gamma distribution. The errors between gold standard measures and approximate measures have a gamma difference distribution with the same three parameters of the gamma distribution. The concordance measurements were obtained by mean of a coefficient, which measures the degree of agreement as a ratio between the variances of the gold standard and the errors. The developed methodology is illustrated with climatic data which is divided into four ranges. The measurements analyzed are rainfall forecasts of the following four national centers: Canadian Meteorological Center (CMC), European Center for Medium-Range Weather Forecasts (ECMWF), National Centers for Environmental Prediction (NCEP), and Center for Weather Forecasting and Climate Studies (CPTEC). The forecast range was 240 hours for the West mesoregion of Paraná – Brazil, and in the October 1–March 31 period of the 2010/2011 –2015/2016 harvest years. The period was selected because it is related to soybean crop development in the region and because several crop estimation models use rainfall forecast data in this period. The methodology applied spatially indicated the center to be selected in each geographical location according to each rainfall range interval. The gamma model fit well with the data and is an alternative to the normal one for modelling rainfall, in particular to estimate concordances between rainfall forecasts and the gold standard, which are used to improve the selection of rainfall forecast centers.

show abstract

Analysis and Distribution of the Rainfall Monitoring Network in a Brazilian Pantanal Region

Cited by 23 publications

References 8 publications

Environmental drivers of taxonomic and functional diversity of dung beetles across a chronosequence of tropical grasslands with different cattle grazing removal ages

Environmental drivers of taxonomic and functional diversity of dung beetles across a chronosequence of tropical grasslands with different cattle grazing removal ages

Patterns of alimentary resource use by dung beetles in introduced Brazilian pastures: Cattle versus sheep dung

Concordance Modeling With a Gold Standard for Variables From the Three-Parameter Gamma Distribution

Contact Info

Product

Resources

About