An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada’s Forest Ecumene

Eddy, Brian G.; Muggridge, Madison; LeBlanc, Robert; Osmond, J.; Kean, Chelsea; Boyd, E. Fidelma

doi:10.3897/oneeco.5.e55881

Cited by 3 publications

(7 citation statements)

References 32 publications

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“…Wildland-Urban Interface (WUI), Wildland-Industrial Interface (WII), and Wildland-Infrastructure Interface (INF) (Johnston and Flannigan 2018); see Table 1 for full names of HFR zones. B) Location of ecumene (Eddy et al 2020a(Eddy et al , 2020b across the Homogeneous Fire Regime (HFR) zones (Boulanger et al 2014) and future climate conditions (RCP 2.6, 4.5, and 8.5), over three periods (2011-2040; 2041-2070; and 2071-2100).…”

Section: Discussionmentioning

confidence: 99%

“…Because the WUI, WII, and INF often overlap, the overall percentage of the WHI is smaller or equal to the sum of its three components. 1 Includes populations of the ecumene data only (Eddy et al 2020a(Eddy et al , 2020b 2 Includes only the population of the WUI areas located in the HFR zones within the study area. under current (1961-1990) and future climate conditions (RCP 2.6, 4.5, and 8.5), over three periods (2011-2040; 2041-2070; and 2071-2100).…”

Section: Discussionmentioning

confidence: 99%

“…The original delineation of the WUI did not provide stratification to distinguish these types of set-up (Johnston and Flannigan 2018). We distinguished between these two types of WUI by intersecting the WUI feature with the Canadian Ecumene GIS database (Eddy et al 2020a(Eddy et al , 2020b, which delineates the populated area over the country (Fig. 1 B, C, and D).…”

Section: Defining Whi Componentsmentioning

confidence: 99%

“…1 B, C, and D). Created through the linkage of remotesensing night light images, official place names, and data values from Statistics Canada, this polygon database spatially identifies populated places as "human habitats" without administrative boundary constraints (Eddy et al 2020a(Eddy et al , 2020b. The ecumene database polygons capture the location of 99.4% of the Canadian population.…”

Section: Defining Whi Componentsmentioning

confidence: 99%

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Exposure of the Canadian wildland–human interface and population to wildland fire, under current and future climate conditions

et al. 2021

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In Canada, recent fire seasons have demonstrated the threat of wildland fire in the Wildland-Human Interface (WHI) areas, where forest fuels intermingle with or abut housing, industry, and infrastructure. Although fire activity is expected to increase further in the coming decades as a result of climate change, no WHI-specific estimates of wildland fire exposure are currently available. This study combines spatial and demographic information sources to estimate the current and future wildland fire exposures, as reflected by fire return intervals (FRI) of WHI areas and populations across Canada. The WHI covers 17.3% of the forested area in Canada. Within the WHI, we found that 19.4% of the area currently experiences FRI ≤ 250 years but, by the end of the century, this could increase to 28.8% under RCP 2.6 and to 43.3% under RCP 8.5. Approximately 12.3% of the Canadian population currently live in the Wildland-Urban Interface (WUI), which includes 32.1% of the on-reserve First Nations population. Currently, 17.8% of the on-reserve WUI population is exposed to FRI ≤ 250 years, compared to only 4.7% of the remaining WUI population. By 2100, these proportions could reach 39.3% and 17.4% respectively, under the less optimistic climatic scenarios (RCP 8.5).

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Defining Whi Componentsmentioning

confidence: 99%

Section: Defining Whi Componentsmentioning

confidence: 99%

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Exposure of the Canadian wildland–human interface and population to wildland fire, under current and future climate conditions

et al. 2021

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“…A subset of the simulation data (Erni et al., 2023) used in this study as well as the primary and processed data for each of the 1,980 communities generated by this research are available from Zenodo: https://doi.org/10.5281/zenodo.10594234. All other datasets used in this study are available in the following public repositories: Community boundaries (http://www.cec.org/north-american-land-change-monitoring-system/), CanEcumene (Eddy et al., 2020a) (https://open.canada.ca/data/en/dataset/3f599fcb-8d77-4dbb-8b1e-d3f27f932a4b).…”

Section: Data Availability Statementmentioning

confidence: 99%

Mapping the distance between fire hazard and disaster for communities in Canadian forests

Wang,

Swystun,

McFayden

et al. 2024

Global Change Biology

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Communities interspersed throughout the Canadian wildland are threatened by fires that have become bigger and more frequent in some parts of the country in recent decades. Identifying the fireshed (source area) and pathways from which wildland fire may ignite and spread from the landscape to a community is crucial for risk‐reduction strategy and planning. We used outputs from a fire simulation model, including fire polygons and rate of spread, to map firesheds, fire pathways and corridors and spread distances for 1980 communities in the forested areas of Canada. We found fireshed sizes are larger in the north, where the mean distances between ecumene and fireshed perimeters were greater than 10 km. The Rayleigh Z test indicated that simulated fires around a large proportion of communities show significant directional trends, and these trends are stronger in the Boreal Plains and Shields than in the Rocky Mountain area. The average distance from which fire, when spreading at the maximum simulated rate, could reach the community perimeter was approximately 5, 12 and 18 km in 1, 2 and 3 days, respectively. The average daily spread distances increased latitudinally, from south to north. Spread distances were the shortest in the Pacific Maritime, Atlantic Maritime and Boreal Plains Ecozones, implying lower rates of spread compared to the rest of the country. The fire corridors generated from random ignitions and from ignitions predicted from local fire history differ, indicating that factors other than fuel (e.g. fire weather, ignition pattern) play a significant role in determining the direction that fires burn into a community.

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A GIS methodology for mapping regional and community vitality for Canada using the CanEcumene 3.0 Geodatabase with census data

Eddy

2024

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Many ecosystem-based management (EBM) and related applications require integrating geospatial information about socio-economic conditions of human populated areas within a study area. However, integrating socio-economic data in such a way that it can be related to ecological data is challenging due to issues associated with spatial representation between socio-economic and ecological data frameworks. In Canada, this problem is particularly acute given its large geographic size, diversity of environments and highly irregular population distribution. Although several indices have been developed for Canada related to well-being and vulnerability, their suitability for EBM-related applications is limited. This article presents a GIS-based methodology for mapping regional and community vitality index (RVI/CVI) for Canada using standard Census data integrated with the CanEcumene 3.0 Geospatial Database (GDB). The method uses percentile ranks of five sub-indicators of vitality covering population growth, age structure, education, employment and economic wealth. Results reveal a number of notable patterns and trends in socio-economic conditions across the country and across different types of communities and regions. Most notable are decreasing CVI values from economic core regions to rural and remote communities; decreasing scores from high population centres to lower populated areas and lower scores for Indigenous communities when compared with non-Indigenous communities. A series of maps show variation in RVI/CVI values for specific locations with changes over time.

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An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada’s Forest Ecumene

Cited by 3 publications

References 32 publications

Exposure of the Canadian wildland–human interface and population to wildland fire, under current and future climate conditions

Exposure of the Canadian wildland–human interface and population to wildland fire, under current and future climate conditions

Mapping the distance between fire hazard and disaster for communities in Canadian forests

A GIS methodology for mapping regional and community vitality for Canada using the CanEcumene 3.0 Geodatabase with census data

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