Predicting regional cumulative effects of future development on coastal ecosystems to support Indigenous governance
| dc.contributor.author | Tulloch, Vivitskaia | |
| dc.contributor.author | Adams, Megan | |
| dc.contributor.author | Finn, Riley | |
| dc.contributor.author | Bourbonnais, Mathieu | |
| dc.contributor.author | Avery-Gomm, Stephanie | |
| dc.contributor.author | Penn, Briony | |
| dc.contributor.author | Martin, Tara | |
| dc.date.accessioned | 2024-05-24T16:00:00Z | |
| dc.date.available | 2024-05-24T16:00:00Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | 1. To achieve better biodiversity outcomes and match local governance capacity, cumulative effects assessment frameworks that combine Indigenous and western knowledge to predict future development impacts on biodiversity are needed. 2. We developed a spatial future-focused model informed by inclusive elicitation and strategic foresight to assess the regional cumulative effects of development on ecosystem health across the land and sea. We collaborated with three First Nations on the Central Coast of British Columbia, Canada, enabling Indigenous priorities, knowledge and values to drive the process, from the choice of priority ecosystem components (including salmon, herring, seabirds and bears), to identifying future development scenarios (based on forestry, energy/mining, tourism and salmon aquaculture sectors). Bayesian networks were populated with empirical data and expert judgement elicited from knowledge holders to predict the cumulative effects of current and future pressures on species and ecosystems. 3. Under current conditions, the lowest probability of persistence was predicted for Pacific salmon (37%), followed by Pacific herring (43%). Under future conditions, the greatest declines in species health were associated with the intense development of mining, tourism and forestry, with up to a 54% decline from the current baseline health estimates predicted for Marbled Murrelets and old-growth forest. 4. Future outcomes for overall ecosystem health were predicted to be worst in scenarios with high future forestry activities (>60% decline in some areas). The continuation or development of all four industries resulted in an 8% decline overall in ecosystem health across the Central Coast. In contrast, predicted ecosystem health in the tourism economy scenario increased up to 15% in some marine areas, primarily driven by the removal of salmon aquaculture and forestry activities. 5. Synthesis and applications. Our study demonstrates an inclusive, regional approach to assessing the cumulative effects of future development on coastal species. The novel participatory tools and predictive framework draw upon and interweave multiple forms of knowledge, enabling Indigenous values to drive the process, and appropriately integrate Indigenous knowledge into regional cumulative effects assessment. Our interactive web application provides First Nations partners access to all outputs, supporting Indigenous-led governance and in situ ecosystem-based management of their lands and water. | |
| dc.description.reviewstatus | Reviewed | |
| dc.description.scholarlevel | Faculty | |
| dc.description.sponsorship | This project was made possible through funding from Environment and Climate Change Canada's Wildlife and Landscape Science Directorate (Grants and Contributions), the NSERC Discovery Grant and the generous support of the Liber Ero Chair in Conservation and Reid and Laura Carter (TGM). | |
| dc.identifier.citation | Tulloch, V. J. D., Adams, M., Finn, R., Bourbonnais, M., Avery‐Gomm, S., Penn, B., & Martin, T. G. (2024). Predicting regional cumulative effects of future development on coastal ecosystems to support Indigenous governance. Journal of Applied Ecology. https://doi.org/10.1111/1365-2664.14659 | |
| dc.identifier.uri | https://doi.org/10.1111/1365-2664.14659 | |
| dc.identifier.uri | https://hdl.handle.net/1828/16553 | |
| dc.language.iso | en | |
| dc.publisher | Journal of Applied Ecology | |
| dc.rights | Attribution-NonCommercial 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Bayesian network | |
| dc.subject | cumulative impacts | |
| dc.subject | ecosystem-based management | |
| dc.subject | expert knowledge | |
| dc.subject | Great Bear Rainforest | |
| dc.subject | salmon | |
| dc.subject | scenario planning | |
| dc.subject.department | School of Environmental Studies | |
| dc.title | Predicting regional cumulative effects of future development on coastal ecosystems to support Indigenous governance | |
| dc.type | Article |