2019
DOI: 10.1016/j.scitotenv.2018.08.020
|View full text |Cite
|
Sign up to set email alerts
|

Contributions of throughfall, forest and soil characteristics to near-surface soil water-content variability at the plot scale in a mountainous Mediterranean area

Abstract: Soil water-content (SWC) variability in forest ecosystems is affected by complex interactions between climate, topography, forest structure and soil factors. However, detailed studies taking into account the combined effects of these factors are scarce. This study's main aims were to examine the control that throughfall exerts on local spatial variation of near-surface soil water-content and to combine this information with forest structure and soil characteristics, in order to analyze all their effects togeth… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

6
44
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 50 publications
(51 citation statements)
references
References 48 publications
6
44
1
Order By: Relevance
“…Water age estimates are challenged by the natural multiscale heterogeneity of hydraulic conductivity (e.g., soil matrix vs. macropores in the subsurface) (Bachmair & Weiler, ; Troch et al, ), which can lead to long tails of the water age distribution functions (Kirchner et al, ). Additionally, heterogeneity in infiltration and percolation results from vegetation (e.g., interception and throughfall—e.g., Molina et al, —and root water uptake volumes and depths—e.g., Dick et al, ), snow accumulation and melt patterns (e.g., Garvelmann et al, ), and other spatially variable environmental characteristics.…”
Section: Quantifying Water Ages In the Critical Zonementioning
confidence: 99%
“…Water age estimates are challenged by the natural multiscale heterogeneity of hydraulic conductivity (e.g., soil matrix vs. macropores in the subsurface) (Bachmair & Weiler, ; Troch et al, ), which can lead to long tails of the water age distribution functions (Kirchner et al, ). Additionally, heterogeneity in infiltration and percolation results from vegetation (e.g., interception and throughfall—e.g., Molina et al, —and root water uptake volumes and depths—e.g., Dick et al, ), snow accumulation and melt patterns (e.g., Garvelmann et al, ), and other spatially variable environmental characteristics.…”
Section: Quantifying Water Ages In the Critical Zonementioning
confidence: 99%
“…Prior to the experiment, canopy coverage and diameter at breast height distributions were measured in both stands via hemispherical photography and forestry measurements, respectively (Llorens & Gallart, 2000;Molina et al, 2019). A total of 10 throughfall and 4 stemflow collectors were deployed in each forest stand, covering different representative canopy coverages (from 30% to 88% in the pine stand, and from 30% to 95% in the oak stand) and the diameter at breast height distributions (~15, 20, 25, and 30 cm; Cayuela et al, 2018).…”
Section: Sampling Designmentioning
confidence: 99%
“…The dry winters and negative water balance during summer result in a succession of wet and dry periods with soils usually wetting up in early spring and early fall (Gallart et al, 2002). The studied soils are of silty loam texture (4% sand, 30 72% silt, 24% clay) with about 3% gravel content and 6% organic matter content (Molina et al, 2019). The soil's bulk density is 0.99 g cm -3 and its porosity is 62% (Molina et al, 2019).…”
Section: Sampling Sitementioning
confidence: 99%
“…The studied soils are of silty loam texture (4% sand, 30 72% silt, 24% clay) with about 3% gravel content and 6% organic matter content (Molina et al, 2019). The soil's bulk density is 0.99 g cm -3 and its porosity is 62% (Molina et al, 2019). The study area was terraced before and during the 19 th and abandoned in the second half of the 20 th century.…”
Section: Sampling Sitementioning
confidence: 99%
See 1 more Smart Citation