2018
DOI: 10.1016/j.scitotenv.2017.12.011
|View full text |Cite
|
Sign up to set email alerts
|

Effects of land use and sampling distance on water quality in tropical headwater springs (Pimenta creek, São Paulo State, Brazil)

Abstract: In tropical headwater streams information on water quality are in general scarce. • Both land use and sampling distances influence water quality of headwaters. • Springs with riparian vegetation show better conditions in the aquatic environment. • In springs with pasture/agriculture and degraded vegetation water quality is worse. • Aquatic environment of headwaters is very sensitive to changes in the environment.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
3
0
6

Year Published

2019
2019
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 41 publications
(9 citation statements)
references
References 64 publications
(65 reference statements)
0
3
0
6
Order By: Relevance
“…Usually, groundwater tends to have a high electric conductivity, resulting from the presence of high amounts of dissolved inorganic substances in ionized form. According to Marmontel et al [37], the significant variation in EC values can be attributed to the different land uses, the spatial variation of spring locations, and the state of conservation of the vegetation. The electrical conductivity is an important parameter in determining the suitability of water for a specific purpose.…”
Section: Resultsmentioning
confidence: 99%
“…Usually, groundwater tends to have a high electric conductivity, resulting from the presence of high amounts of dissolved inorganic substances in ionized form. According to Marmontel et al [37], the significant variation in EC values can be attributed to the different land uses, the spatial variation of spring locations, and the state of conservation of the vegetation. The electrical conductivity is an important parameter in determining the suitability of water for a specific purpose.…”
Section: Resultsmentioning
confidence: 99%
“…A partir do ACP, foram identificadas 19 componentes principais (CPs), no qual as 4 primeiras componentes explicam 78,02% da variância dos dados e cujo autovalor é maior que 1. Apesar de não existir uma norma padrão sobre o número de fatores que deve ser extraído das análises, com base na literatura, o critério de Kaiser é amplamente usado, e sugere a extração dos fatores com valor de eigenvalue (autovalor) acima de um (Golzarian e Frick, 2011; Calijuri et al, 2012;Vitale et al, 2017;Queiroz, Silva, e Brazil de Paiva, 2017) e o número de componentes que representem 60% da variância acumulada, refletem uma ideia aceitável da variância original de acordo com Hair, et al,2009;Gardiman Junior, 2015;Ferreira, et al, 2015) Na ACP, os dois primeiros eixos explicam 60,32% da variância total dos dados, resultados semelhantes foram encontrados por (Nascimento, Reis, Roeser, e Santiago, 2019). O eixo 1 apresentou 44,67%, cujo auto vetor é de 8,48, e se correlacionou positivamente com DBO, OD, NT, TºC, pH, turbidez e clorofila-a, e o eixo 2 apresentando 15,64% da variância dos dados e autovalor 2,97, com correlação positiva com os STD, CE e salinidade (Figura 5).…”
Section: Análises Estatísticasunclassified
“…Fia, et al (2015) evidenciaram que a entrada de matéria orgânica e de nutrientes de origem doméstica, assim como atividades agropecuárias, na rede de drenagem reduziu a qualidade da água da área urbana em Lavras, Minas Gerais. Já Ferreira et al, (2018) comprovaram a importância da mata ciliar na contribuição para a adequação da qualidade da água conforme legislação ambiental.…”
Section: Introductionunclassified
“…Although agricultural lands are generally considered to exert a strong influence on nutrient concentrations in streams, relative to forest-dominated sites [75], detection of a response to land cover change sometimes cannot be observed until a threshold deforestation level in the watershed (66-75%) is reached [9]. Transformations of forest cover to large-scale agricultural practices is thought to have a long-lasting impact on stream nutrients, for example transitions from forest to pasture [17] or plantation-style crops [76].…”
Section: Swidden Land Cover Change and Nutrient Dynamicsmentioning
confidence: 99%