2022
DOI: 10.1139/facets-2021-0063
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Canada’s human footprint reveals large intact areas juxtaposed against areas under immense anthropogenic pressure

Abstract: Efforts are underway in Canada to set aside terrestrial lands for conservation, thereby protecting them from anthropogenic pressures. Here we produce the first Canadian human footprint map by combining 12 different anthropogenic pressures and identifying intact and modified lands and ecosystems across the country. Our results showed strong spatial variation in pressures across the country, with just 18% of Canada experiencing measurable human pressure. However, some ecosystems are experiencing very high pressu… Show more

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Cited by 27 publications
(18 citation statements)
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“…We constructed our cost surface by combining land cover layers from 23 sources. Eight of those layers were from the Canadian Human Footprint (CHF) [ 36 ] and included built environments, nighttime lights, croplands, pasturelands, dams and reservoirs, mining, oil and gas, and forestry areas. We used a recently developed national road layer for Canada [ 37 ] that includes resource-access roads, along with a national railway layer.…”
Section: Methodsmentioning
confidence: 99%
“…We constructed our cost surface by combining land cover layers from 23 sources. Eight of those layers were from the Canadian Human Footprint (CHF) [ 36 ] and included built environments, nighttime lights, croplands, pasturelands, dams and reservoirs, mining, oil and gas, and forestry areas. We used a recently developed national road layer for Canada [ 37 ] that includes resource-access roads, along with a national railway layer.…”
Section: Methodsmentioning
confidence: 99%
“…Following (Sanderson et al, 2002), each metric was scaled between 0 and 10, weighted to its pressure importance and summed. Canada's human footprint index was calculated following the same protocol, considering 12 pressures which included the global footprint and additional pressures: (9) presence of dams and reservoirs; (10) mining activity; (11) oil and gas; and, ( 12) forestry (Hirsh-Pearson et al, 2022).…”
Section: Human Footprint Indexmentioning
confidence: 99%
“…This approach, which has been used in many other studies, models landscape connectivity based on degree of naturalness or human modification and makes the assumption that more natural landscapes are less costly for many animals to move through and better facilitate ecological processes (Krosby et al, 2015;Spencer et al, 2010;Theobald et al, 2012). Pither et al (2023) built their cost surface using the most up-to-date spatial data layers including the Canadian Human Footprint (Hirsh-Pearson et al, 2022) and an updated national road layer (Poley et al, 2022). We modified the 300-m cost surface of Pither et al (2023) by adding a fifth lowest cost, which we assigned to natural areas within protected area boundaries under the assumption that these areas are less costly to move through than natural areas outside park boundaries (Spencer et al, 2010; Table 1).…”
Section: Cost Surface and Nodesmentioning
confidence: 99%