2015
DOI: 10.1186/s13617-015-0032-z
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Ash fall impact on vegetation: a remote sensing approach of the Oldoinyo Lengai 2007–08 eruption

Abstract: Impacts from ash fallout on the environment can be widespread and long lasting, even from moderate-size eruptions. Assessing ash impact on vegetation and the indirect impacts for people is often difficult in the field. Here it is assessed how satellite data can help to map vegetation affected by ash and how temporal analysis enables characterization of vegetation recovery rate. . The spatial pattern of the ash-affected area matches with the spatial contrast in the impact experienced by the local communities. T… Show more

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Cited by 37 publications
(25 citation statements)
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“…Ashes used in this study were collected from Oldoinyo Lengai volcano which is located Tanzania, the Rift Valley at 2˚45'S, 35˚55'E and 2000 m above the Serengeti plains [35] [37]. Several samples of ashes were randomly collected from various places on top, medium and bottom of the mountain.…”
Section: Materials Collection and Preparationmentioning
confidence: 99%
See 1 more Smart Citation
“…Ashes used in this study were collected from Oldoinyo Lengai volcano which is located Tanzania, the Rift Valley at 2˚45'S, 35˚55'E and 2000 m above the Serengeti plains [35] [37]. Several samples of ashes were randomly collected from various places on top, medium and bottom of the mountain.…”
Section: Materials Collection and Preparationmentioning
confidence: 99%
“…Hence this current study aiming to investigate the removal of H 2 S and NH 3 from biogas using Oldoinyo Lengai volcanic ash (OLA) at ambient temperature conditions. The Oldoinyo Lengai is the only active natrocarbonatite volcano and it is a unique source of alkaline ash in the world; the OLA is abundant and readily available [35] [36] [37] [38]. The experiment was conducted on-site at The Banana investment company Ltd, Arusha, Tanzania where characteristics of H 2 S and NH 3 removal from biogas stream were determined at natural variation of biogas composition.…”
Section: Introductionmentioning
confidence: 99%
“…An alternative modeling approach to tackle the question of vegetation colonization on lava flows would be to characterize and model the change in NDVI values for a recent lava surface relative to a climax vegetation representative for the environment and climate in which the lava flow was emplaced, as is often done for studies assessing vegetation recovery after forest fires (Gouveia et al ., ; Hope et al ., ). The reference point can be the NDVI value of the area before the lava was emplaced, for flows of the last decades (see De Schutter et al ., ), or existing pristine vegetation – area not impacted by lava emplacement in the last century – in similar environmental conditions to the lava flow surface. Although this would deserve further study, we expect that such an approach might be challenging for volcanoes with high density and frequency of lava flows and large gradients of vegetation with elevation and slope orientation.…”
Section: Discussionmentioning
confidence: 99%
“…Because the initial status is often unknown, a positive slope may be thought to represent either a recovery from drought (Vicente‐Serrano et al, ), greening trends as a function of both climatic and nonclimatic factors (Xiao & Moody, ), a response to other disturbances such as fire events (Diaz‐Delgado, Salvador, & Pons, ; Gouveia, Bastos, Trigo, & DaCamara, ; Riaño et al, ), or a permanent land‐use change generating higher primary productivity than the previous situation, such as afforestation (Li, ; Vasallo, Dieguez, Garbulsky, Jobbágy, & Paruelo, ). A negative slope, on the other hand, might represent a downwards trend due to either a long‐lasting drought (Anyamba & Tucker, ), more abrupt shocks such as volcanic ash fallout (de Schutter et al, ), or permanent disturbances such as land use change, for example, resulting in a decrease of irrigated areas (Gumma et al, ). Both phases and regime shifts are confounded in the same process when NDVI changes are depicted by a linear trend.…”
Section: Introductionmentioning
confidence: 99%