Throughfall in different forest stands of Iperó, São Paulo

Gasparoto, Esthevan Augusto Goes; Tonello, Kelly Cristina; Shinzato, Emily Tsiemi; Valente, Roberta Averna

doi:10.1590/01047760.201420021260

Cited by 10 publications

(11 citation statements)

References 13 publications

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“…When compared to studies developed in forest physiognomies in Brazil, the records obtained are also within the range observed for TF% (69 -94%, Table 3). The Brazilian studies with physiognomies more similar to the present study are Gasparoto et al (2014) and Gênova, Honda and Durigan (2007), in which the studied areas are formed by pine plantations. Although there was no understory in Gasparoto et al (2014), the TF estimate is close to that verified here, indicating that there are similarities in rainfall partitioning in areas with predominance of Pinus spp.…”

Section: Discussionsupporting

confidence: 69%

“…The Brazilian studies with physiognomies more similar to the present study are Gasparoto et al (2014) and Gênova, Honda and Durigan (2007), in which the studied areas are formed by pine plantations. Although there was no understory in Gasparoto et al (2014), the TF estimate is close to that verified here, indicating that there are similarities in rainfall partitioning in areas with predominance of Pinus spp. In contrast, Gênova, Honda and Durigan (2007) obtained lower TF estimates (73%) than that observed in this study, although it was also a P. elliottii forest.…”

Section: Discussionsupporting

confidence: 69%

See 1 more Smart Citation

Relationships between rainfall and throughfall in a secondary forest in southeastern Brazil: an evaluation of different statistical models

Lima

Bourscheidt

Tanaka

2018

RBRH

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Throughfall (TF) is influenced by different meteorological conditions, which can result in high spatial and temporal variability, when interacting with vegetation and mutually with each other. This study aimed to evaluate rainfall (RF) influence on TF, as well as to describe the behavior of these variables in an area dominated by Pinus elliottii in southeastern Brazil, by exploring different statistical models proposed in the literature. For this, RF and TF data were recorded in 24 rainfall events by 180 gauges distributed in six 10 x 10 m plots. The results indicate a significant influence of RF volume on response variables [TF volume (TF mm ), TF fraction (TF % ) and coefficient of variation of TF (CV TF )]. While the linear model presented the best fit for TF mm , the non-linear models had better results for TF % and CV TF as a function of RF, allowing the identification of distinct behaviors for different RF volumes. In general, it was verified that RF is the main source of variability in TF estimates in the study area. However, it should be noted that other variables may be acting simultaneously on TF % and CV TF , in which 45.4 and 38.1% of the variation, respectively, remain unexplained, requiring complementary studies to identify and quantify the influence of other factors.Keywords: Throughfall; Forest hydrology; Modelling; Spatial variability. RESUMOA precipitação interna (PI) é influenciada por diferentes condições meteorológicas, que, ao interagirem entre si e com a vegetação, podem resultar em elevada variabilidade espacial e temporal. Este estudo teve como objetivo avaliar a influência da precipitação em aberto (PA) sobre a PI, assim como descrever o comportamento dessas variáveis em uma área de vegetação com predominância de Pinus elliottii no sudeste brasileiro, explorando diferentes modelos estatísticos propostos na literatura. Para isto, foram registrados dados de PA e PI em 24 eventos de chuva por 180 pluviômetros distribuídos em seis parcelas de 10 x 10 m. Os resultados indicam influência significativa do volume de PA sobre as variáveis resposta [volume de PI (PI mm ), fração de PI (PI % ) e coeficiente de variação da PI (CV PI )]. Enquanto o modelo linear apresentou o melhor ajuste para PI mm , os modelos não-lineares tiveram melhores ajustes para PI % e CV PI em função de PA, permitindo identificar comportamentos distintos para diferentes volumes de chuva. De forma geral, verificou-se que a PA é a principal fonte de variação nas estimativas de PI na área de estudo. No entanto, destaca-se que outras variáveis podem estar atuando simultaneamente sobre a PI % e CV PI , nas quais 45,4 e 38,1%, respectivamente, da variação permanecem inexplicados, demandando estudos complementares para identificar e quantificar a influência de outros fatores. Relationships between rainfall and throughfall in a secondary forest in southeastern Brazil: an evaluation of different statistical models 2/14 Palavras

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Section: Discussionsupporting

confidence: 69%

Section: Discussionsupporting

confidence: 69%

Relationships between rainfall and throughfall in a secondary forest in southeastern Brazil: an evaluation of different statistical models

Lima

Bourscheidt

Tanaka

2018

RBRH

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“…The throughfall was evaluated in Semidecidual forest, Eucalyptus cloeziana and Pinus sp. and according to Gasparoto et al [34] the values found were 76; 85 and 84% of the incident precipitation.…”

Section: Regression Analysismentioning

confidence: 76%

Linear Regression of Incident Precipitation Explains the Throughfall, Stemflow and Interception by the Eucalyptus Canopy under Different Fertilization Management

Souza

Momolli

Ludvichak

et al. 2019

JEAI

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The present work aims to quantify the precipitation partition after interaction with the Eucalyptus urophylla canopy under two fertilization treatments. The experimental design was completely causalized with two fertilization treatments. Each plot had a dimension of 30 m x 60 m, and the spacing of the seedlings was 3 m x 2 m. The study was developed in a arenizaded area located in the municipality of Maçambará, state of Rio Grande do Sul, Brazil. The duration of the study was one year (from April 2017 to March 2018). Biweekly over twelve months the volume of precipitation was quantified. The experiment consists of two fertilization treatments in a Eucalyptus urophylla stand: T1 with smaller and T2 greater fertilization. In each treatment 3 throughfall collectors were installed at one meter of the soil level and three stemflow collectors. In the open area 3 collectors of the incident precipitation were installed 1.5 meters from the ground level. The percentages of the throughfall, stemflow and canopy interception in relation to the incident precipitation were 95.3; 1.3 and 4.3% for treatment 1 and 91.7; 3.2 and 6.2% for treatment 2. The coefficients of determination for throughfall, stemflow and canopy interception were 0.99; 0.96 and 0.85 for treatment 1 and 0.99; 0.97 and 0.89 for treatment 2. The graphical analysis of the regression residues shows independence of the errors. The fertilization management described for treatment 2 results in a greater interception of rainfall due to the greater amount of biomass of the canopy.

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“…Evaluating forest formations of Eucalyptus cloeziana, Pinus sp. and Seasonal Semideciduous Forest in Iperó, SP, Gasparoto et al (2014) found that throughfall represents 76.2%, 85.1% and 84% of precipitation, respectively. Almeida et al (2013), evaluating an E. grandis x E. urophylla stand in Minas Gerais, found that the canopy interception was 9%, this value being lower than that found in this work.…”

Section: Rainfall Partitioningmentioning

confidence: 95%

Partial exclusion of precipitation: throughfall, stemflow and canopy interception in Eucalyptus plantations in southern Brazil

et al. 2021

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Hydrological behavior in reforested watersheds is different from that under other forms of cover. The variation may be related to aspects intrinsic to species, planting density, physiological maturity, management system and climatic conditions. Periodically, climatic anomalies such as the case of La Ninã are observed, and these are responsible for the alteration of the rainfall regime and consequently generate water deficits in the southern region of Brazil. Water deficit is responsible for reducing growth and productivity for the Eucalyptus genus, in addition to causing changes in hydrological behavior in reforested watersheds. Accordingly, this study compared the partition of rainfall in throughfall, stemflow and canopy interception of eucalyptus trees submitted or not to partial exclusion of precipitation. In the open field, 3 rainfall collectors were installed, and in the stand, for each rain exclusion treatment, 9 throughfall collectors and 9 stemflow collectors were installed. Every two weeks for 12 months, the volume of the collectors was measured. The quantified precipitation was 1627 mm over a year. In the treatment without exclusion, 84.8, 2.9 and 12.3% referred to throughfall, stemflow and canopy interception, respectively, while in the treatment excluding rainfall 80.6, 2.3 and 17.2% referred to throughfall, stemflow and canopy interception. The regression adjustments for throughfall and stemflow showed satisfactory R2 coefficients.

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Throughfall in different forest stands of Iperó, São Paulo

Cited by 10 publications

References 13 publications

Relationships between rainfall and throughfall in a secondary forest in southeastern Brazil: an evaluation of different statistical models

Relationships between rainfall and throughfall in a secondary forest in southeastern Brazil: an evaluation of different statistical models

Linear Regression of Incident Precipitation Explains the Throughfall, Stemflow and Interception by the Eucalyptus Canopy under Different Fertilization Management

Partial exclusion of precipitation: throughfall, stemflow and canopy interception in Eucalyptus plantations in southern Brazil

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