Making sense of wildlife habitat use on active oil sands mines: Quasi‐experiments, occupancy models, trends assessments and upland habitat reclamation

Author:

Hawkes Virgil C.1ORCID,Gibeau Pascale1,Challenger Wendell1

Affiliation:

1. LGL Limited Environmental Research Associates Sidney British Columbia Canada

Abstract

Abstract Intensive resource extraction activity in the oil sands of Canada alters the quantity, structure and distribution of native ecosystems, which in turn creates substantive challenges for conservation, land management and habitat reclamation. Progressive reclamation occurs on active mine sites in the Athabasca oil sands region (AOSR) of Canada, along with concurrent assessments of reclamation effectiveness. Yet, little is known about the ability of reclaimed habitats to mitigate for the short‐ and long‐term impacts associated with open‐pit mines and provide functional habitat for wildlife. We used a robust quasi‐experiment that combined camera trap data from an observational study with an innovative occupancy model to assess the effectiveness of upland reclamation to provide habitat for wildlife in the AOSR. The dynamic occupancy models were applied to 15 years of camera trap data to assess wildlife usage patterns of nine species of wildlife over seven types of habitats. The habitats sampled ranged from mining‐disturbed habitats reclaimed to upland forest ecosites common in the region, habitats disturbed by natural (fire) and human disturbances (clear‐cut logging), with comparisons to mostly intact mature forests. Our results indicate that the nine species of wildlife assessed used habitats in a manner consistent with expectations: some preferred disturbance‐dominated habitats while others used mature forest to a higher degree. We demonstrate that the application of dynamic occupancy models to camera trap data reliably discerned these trends, providing the means to predict wildlife usage patterns in an ever‐changing landscape, including one containing bitumen extraction as a contributor to landscape‐level modifications. Practical implication: Our work illustrates how continued monitoring of wildlife using camera traps contributes to assessments of reclamation effectiveness with respect to wildlife occurrence, distribution and usage patterns in anthropogenically and naturally disturbed landscapes. Evaluating the effectiveness of reclamation is especially important given the expected increase in habitat reclamation on active oil sands mines over the next several decades, coupled with the need to ensure that disturbed habitats regain ecological function able to sustain wildlife in the future.

Funder

Canadian Natural Resources Limited

Suncor Energy Incorporated

Imperial Oil Limited

Publisher

Wiley

Reference83 articles.

1. Alberta Environment (AENV). (2010).Guidelines for reclamation to forest vegetation in the Athabasca oil sands region(2nd ed.). Prepared by the Terrestrial Subgroup of the Reclamation Working Group of the Cumulative Environmental Management Association Fort McMurray AB December 2009.

2. Effects of habitat fragmentation on birds and mammals in landscapes with different proportions of suitable habitat: A review;Andrén H.;Oikos,1994

3. Baillie‐David K.(2022).Examining shifts in boreal carnivore species' resource selection in response to predator control to conserve woodland caribou (Rangifer tanradus caribou) in western Canada(Unpublished Master's thesis). University of Victoria Victoria BC Canada.

4. Do Big Unstructured Biodiversity Data Mean More Knowledge?

5. Spatial patterns of inorganic N, P availability, and organic C in relation to soil disturbance: A chronosequence analysis;Boerner R. E. J.;Applied Soil Ecology,1998

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