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Soil Organic Matter: A Sustainability Indicator for Wildfire Control and Bioenergy Production in the Urban/Forest Interface
Author(s) -
Blanco Juan A.,
Dubois David,
Littlejohn Dale,
Flanders David N.,
Robinson Peter,
Moshofsky Molly,
Welham Clive
Publication year - 2014
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj2013.06.0214nafsc
Subject(s) - environmental science , sustainability , forest management , warning system , environmental resource management , agroforestry , ecology , geography , biology , aerospace engineering , engineering
Many rural communities in British Columbia (western Canada) are increasingly at risk from wildfire as temperatures rise and droughts become more frequent. In addition, these communities are also faced with rising fuel costs and a growing demand for heat as their populations increase. The fact that these communities are surrounded by forests presents an opportunity to combine community wildfire risk abatement with bioenergy development. We show how the ecological model FORECAST was linked with GIS and economic models to create a freely available online tool (FIRST Heat) to help other communities make their own screening‐level ecological assessments of combining wildfire risk control with district heating systems. The tool incorporates an ecological sustainability index based on the relative change in soil organic matter (SOM) after 50 yr of management compared with initial levels. Two thresholds were defined: 10% SOM lost (warning level) and 20% SOM lost (critical level). The tool was able to adequately capture the influences of ecological zone, stand age, site quality, and intensity of forest management on SOM losses. Stands in the sub‐boreal and arid interior were significantly more exposed to SOM losses than in other ecological zones, as well as soils in old‐growth forests. Stands in poor sites were significantly more sensitive to forest management than young and fertile sites. All things considered, our results show the suitability of incorporating ecological models and SOM thresholds in user‐friendly decision‐support tools to successfully transfer scientific knowledge on forest soils to local stakeholders and decision makers.