2021
DOI: 10.1016/j.catena.2021.105305
|View full text |Cite
|
Sign up to set email alerts
|

Describing the vertical root distribution of alpine plants with simple climate, soil, and plant attributes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 12 publications
(4 citation statements)
references
References 67 publications
0
4
0
Order By: Relevance
“…We calculated the predicted root feeder load based on the random process hypothesis, which posits that the interaction frequency between specific plant species and root feeder species exclusively depends on their relative abundance. Because root biomass often nonlinearly decreases with soil depth, showing a distribution of conical shape in various plant species (Gonzalez‐Ollauri et al, 2021; Herben et al, 2022; Tasser & Tappeiner, 2005), we assigned root biomass to different soil layers (0–5, 5–10, 10–20, 20–30, and >30 cm) for each species by treating plant roots as a conical shape. Two plant species had a root length of >30 cm, so their root biomass at >30 cm was included in the soil layer 20–30 cm.…”
Section: Methodsmentioning
confidence: 99%
“…We calculated the predicted root feeder load based on the random process hypothesis, which posits that the interaction frequency between specific plant species and root feeder species exclusively depends on their relative abundance. Because root biomass often nonlinearly decreases with soil depth, showing a distribution of conical shape in various plant species (Gonzalez‐Ollauri et al, 2021; Herben et al, 2022; Tasser & Tappeiner, 2005), we assigned root biomass to different soil layers (0–5, 5–10, 10–20, 20–30, and >30 cm) for each species by treating plant roots as a conical shape. Two plant species had a root length of >30 cm, so their root biomass at >30 cm was included in the soil layer 20–30 cm.…”
Section: Methodsmentioning
confidence: 99%
“…The use of plants for soil bioengineering purposes follows specific constructive principles that were introduced in earlier work (Schiechtl, 1980;Coppin and Richards, 1990;Gray and Sotir, 1996) Herbaceous and grass species effect, in fact, is considered negligible in stabilising hillslopes against deep mass movements due to their limited rooting depth (e.g. Burylo et al, 2011;Gilardelli et al, 2017;Gonzalez-Ollauri et al, 2021). Some exception, however, can be noted as for herbs and specifically Leguminosae or e.g.…”
Section: Principles Of Plant Use In Soil Bioengineeringmentioning
confidence: 99%
“…Tardio and Mickovski, 2015;Cislaghi et al, 2017;Cohen and Schwarz, 2017;Hales, 2018;Maedeh et al 2018;Acharya 2019). Most of these models include the mechanical soil reinforcement provided by vegetation roots by including information concerning the root distribution and density in the soil and the root tensile strength, whereas the inclusion of the hydrological effects of vegetation still remains challenging (Gonzalez-Ollauri and Mickovski, 2017b;Gonzalez-Ollauri et al 2021).…”
Section: A Comprehensive Framework For Designing Soil Bioengineering ...mentioning
confidence: 99%
“…Analysis of root system distribution allows us to understand how plant stands evolution proceeds as a function of slope stability concerning surface movements and instabilities, those most affected by extreme weather events, consequently understanding the susceptibility of stands to climate change [24][25][26][27]. Given the previous considerations, the study aims to present a field survey on root system evaluation, related to slope stability, in multi-approach monitoring to evaluate the technical and ecological efficiency of SWBE work, giving insights into the results of vegetation monitoring methodologies.…”
Section: Introductionmentioning
confidence: 99%