Landscape Genomic Analyses of <i>Quercus agrifolia</i> Née Predict Patterns of Adaptedness to Future Climate and Provide Guidance for Conservation

Ryan C. Buck, H. Scott Butterfield, Elizabeth Hiroyasu, Jeanette Howard, John Knapp, Zachary Principe, Victoria L. Sork

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DOI: 10.1111/eva.70224
Published: 2026-04
Container: Evolutionary Applications
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/eva.70224,
  title = {Landscape Genomic Analyses of
                    <i>Quercus agrifolia</i>
                    Née Predict Patterns of Adaptedness to Future Climate and Provide Guidance for Conservation},
  author = {Ryan C. Buck and H. Scott Butterfield and Elizabeth Hiroyasu and Jeanette Howard and John Knapp and Zachary Principe and Victoria L. Sork},
  year = {2026},
  journal = {Evolutionary Applications},
  doi = {10.1111/eva.70224},
  url = {https://doi.org/10.1111/eva.70224}
}

RIS

TY  - JOUR
TI  - Landscape Genomic Analyses of
                    <i>Quercus agrifolia</i>
                    Née Predict Patterns of Adaptedness to Future Climate and Provide Guidance for Conservation
AU  - Ryan C. Buck
AU  - H. Scott Butterfield
AU  - Elizabeth Hiroyasu
AU  - Jeanette Howard
AU  - John Knapp
AU  - Zachary Principe
AU  - Victoria L. Sork
PY  - 2026
JO  - Evolutionary Applications
DO  - 10.1111/eva.70224
UR  - https://doi.org/10.1111/eva.70224
ER  -

APA

Buck, R. C., Butterfield, H. S., Hiroyasu, E., Howard, J., Knapp, J., Principe, Z., & Sork, V. L. (2026). Landscape Genomic Analyses of <i>Quercus agrifolia</i> Née Predict Patterns of Adaptedness to Future Climate and Provide Guidance for Conservation. Evolutionary Applications. https://doi.org/10.1111/eva.70224

Source records

crossref · retrieved 2026-09-25T03:15:56.601Z