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- Title
Oak genomics for nature-based solutions: shaping future forests and resilient landscapes in Canada.
- Authors
Tischenko, Lisa; Williams, Martin; DeMerchant, Ian; Sambaraju, Kishan; Zacharias, Melanie; Soolanayakanahally, Raju; Otis-Prudhomme, Guillaume; Isabel, Nathalie; Porth, Ilga
- Abstract
To preserve biodiversity and maintain ecosystem services provided by trees in the course of climate change, it is essential to consider challenging tree species, which are less studied primarily due to a lack of investment compared to commercial species. Species of the genus Quercus present an interesting case because of their economic and ecological importance, and their syngameon biology. As a model for exploring ecological diversification, and with recent advances in forest genomics, knowledge, data, and genomic resources for oak have accumulated and are summarized in this review to foster oaks as potential candidate species for future reforestation programs in Canadian natural, peri-urban, and urban ecosystems. We summarize the state of current genomic research in oak and the accompanying opportunities genomics can provide to achieve the potential of oak silviculture in Canada. Further, we highlight the socio-economic benefits of planting oaks and genomic tools for the development of a traceability system along the value chain. Finally, we discuss some of the remaining challenges to successfully integrate oaks into different forest management programs. In light of their increased drought resistance, oak species exhibit a strong potential as viable choices for future forests, resilient agricultural landscapes, and urban areas. By leveraging the progress made in oak genomics and the new applications that have been developed for commercial species, we can foster the successful management of oak genetic resources for the production of suitable seedlings, thereby aiding Canada in its ambitious pursuit of planting two billion trees to combat climate change.
- Subjects
CANADA; URBAN forestry; URBAN ecology; OAK; GENOMICS; FOREST management; GERMPLASM; LANDSCAPE assessment
- Publication
Tree Genetics & Genomes, 2024, Vol 20, Issue 3, p1
- ISSN
1614-2942
- Publication type
Article
- DOI
10.1007/s11295-024-01645-x