2017
DOI: 10.1002/2016gl072317
|View full text |Cite
|
Sign up to set email alerts
|

Influence of dry‐season vegetation variability on Sahelian dust during 2002–2015

Abstract: The drivers of dust emission interannual variability in North Africa, the largest dust source on Earth, are still debated. Early studies outlined the role of previous‐season rainfall and vegetation growth, while some recent studies emphasize the role of wind variability. Here we use a newly developed estimation of dry‐season nonphotosynthetic vegetation cover in the Sahel based on Moderate Resolution Imaging Spectroradiometer (MODIS) short‐wave infrared bands over the 2002–2015 period. The vegetation growth an… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
17
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 20 publications
(18 citation statements)
references
References 45 publications
1
17
0
Order By: Relevance
“…The main impact of rainfall on wind erosion operates through dry vegetation during the late dry season and beginning of the next rainy season (i.e., dry stalks and litter from the previous vegetation cycle, while the new green vegetation mass is still very low) because most wind erosion occurs during this period of the year when total vegetation amounts are low and large wind speeds are frequent. Thus, wind erosion depends on the previous vegetation maximum, which depends on the rainfall amount and distribution during the previous rainy season (e.g., Kergoat et al, 2017). Annual horizontal fluxes are anticorrelated (although correlation coefficients are often not significant at the 0·10 level) with the vegetation maximum mass of the previous year for most scenarios (R = À0·39 to À0·94, except for LongC Mil).…”
Section: Interannual Variability Of Wind Erosionmentioning
confidence: 99%
“…The main impact of rainfall on wind erosion operates through dry vegetation during the late dry season and beginning of the next rainy season (i.e., dry stalks and litter from the previous vegetation cycle, while the new green vegetation mass is still very low) because most wind erosion occurs during this period of the year when total vegetation amounts are low and large wind speeds are frequent. Thus, wind erosion depends on the previous vegetation maximum, which depends on the rainfall amount and distribution during the previous rainy season (e.g., Kergoat et al, 2017). Annual horizontal fluxes are anticorrelated (although correlation coefficients are often not significant at the 0·10 level) with the vegetation maximum mass of the previous year for most scenarios (R = À0·39 to À0·94, except for LongC Mil).…”
Section: Interannual Variability Of Wind Erosionmentioning
confidence: 99%
“…At that time agricultural soils are bare, and thus, it is the time of the year during which they are the most erodible (Abdourhamane Touré et al, ; Pierre et al, ). In the same way, during this period, due to pasture and/or natural decomposition, rangelands exhibit a minimum residue of the vegetation of the previous year and thus are also potentially more erodible than at any other time of the year (Kergoat et al, ; Pierre et al, ). This suggests that at least in this part of the Sahel, there is a near perfect conjunction between the period of the year during which the soil surface is the most erodible and the period during which the frequency of strong winds is maximum.…”
Section: Resultsmentioning
confidence: 99%
“…In addition to that, dust emissions is further complicated by suppressing influences of soil moisture (Fécan et al, 1998) and vegetation cover, including brown vegetation from a previous rainy period (Kergoat et al, 2017), which can vary on relatively small time and spatial scales. This is particularly acute in the semiarid Sahel with its seasonal vegetation, also creating large variations in surface roughness (Cowie et al, 2013).…”
Section: User Requirements For Desert Mineral Dust Emissionsmentioning
confidence: 99%
“…Finally, the dust-focused satellite data should be complemented by improved spaceborne assessments of soil moisture, vegetation cover (green and brown), and soil mineralogy to better characterize varying conditions in source regions (Kergoat et al, 2017). For soil mineralogy, airborne and spaceborne spectroscopic mapping (such as DLR En-MAP and upcoming NASA-EMIT missions) provides a new resource to determine the relative abundance of the key dust source minerals with sufficient detail and coverage, but this resource has been virtually unexplored in the context of dust modeling.…”
Section: User Requirements For Desert Mineral Dust Emissionsmentioning
confidence: 99%