2008
DOI: 10.1071/wf07021
|View full text |Cite
|
Sign up to set email alerts
|

Using visual obstruction to estimate heathland fuel load and structure

Abstract: We present a simple non-destructive technique for assessing fuel load and critical aspects of vegetation structure that play important roles in determining fire behaviour. The method is tested in a Scottish Calluna vulgaris (L.) Hull heathland but could be applied to any vegetation up to ~1 m high. Visual obstruction of a banded measurement stick (the FuelRule) placed vertically through a stand of vegetation is governed by a combination of the height of the vegetation and its density. The vertical distribution… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

4
45
0

Year Published

2009
2009
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 42 publications
(49 citation statements)
references
References 34 publications
4
45
0
Order By: Relevance
“…BrieXy, this method is based on regression equations, developed and tested in similar vegetation, which relate measures of visual obstruction of the FuelRule, to vegetation biomass measured using destructive sampling (Davies et al 2008). A similar approach was used to develop regression equations relating burnt heather stem density and size, to post-burn biomass (Davies 2006). This work allows the same measures to be taken elsewhere, in similar vegetation, and used to estimate biomass nondestructively.…”
Section: Fire Management and Characterisationmentioning
confidence: 99%
See 2 more Smart Citations
“…BrieXy, this method is based on regression equations, developed and tested in similar vegetation, which relate measures of visual obstruction of the FuelRule, to vegetation biomass measured using destructive sampling (Davies et al 2008). A similar approach was used to develop regression equations relating burnt heather stem density and size, to post-burn biomass (Davies 2006). This work allows the same measures to be taken elsewhere, in similar vegetation, and used to estimate biomass nondestructively.…”
Section: Fire Management and Characterisationmentioning
confidence: 99%
“…Inset part of Scotland (grey stipple), with Cairngorms National Park (black boundary) and Abernethy reserve (black) Davies et al 2008). BrieXy, this method is based on regression equations, developed and tested in similar vegetation, which relate measures of visual obstruction of the FuelRule, to vegetation biomass measured using destructive sampling (Davies et al 2008). A similar approach was used to develop regression equations relating burnt heather stem density and size, to post-burn biomass (Davies 2006).…”
Section: Fire Management and Characterisationmentioning
confidence: 99%
See 1 more Smart Citation
“…Measures of vegetation structure and composition were used to derive measures of moss/litter depth, ground-level light incidence, and competition from surrounding vegetation, all considered important factors in Scots pine seedling establishment (Carlisle and Brown 1968;Jäderlund et al 1998;Wennström et al 1999;Oleskog and Sahlén 2000). At 16 sample points per quadrat, vegetation density was quantified using a standard measuring stick ('FuelRule': Davies et al 2008). At each sample point, the stick was pushed vertically into the moss/litter layer until the resistance of the soil/humus layer was felt.…”
Section: Study Sitementioning
confidence: 99%
“…The spate of wildfires in the spring of 2003, some attributable to escaped management fires, has been linked to a period of extended dry weather combined with a cold but largely snow-free winter that froze ground and allowed live Calluna to become exceptionally dry [17]. Shrubland fuels, such as those formed by Calluna, show significant structural complexity in both horizontal and vertical space [35]. Modelling fire behaviour, both empirically and mathematically, in such fuels is generally acknowledged to be extremely challenging [27].…”
Section: Introductionmentioning
confidence: 99%