Work

Combining hydrothermal models of fast‐ and slow‐germinating seeds predicts restoration outcomes for a widely seeded dryland grass species

Year: 2026

Type: article

Source: Restoration Ecology

DOI: 10.1111/rec.70493

Authors: Bradley J. Butterfield, Megan K. Korte, Gregor‐Fausto Siegmund, Daniel R. Schlaepfer, John B. Bradford

Institutions: Northern Arizona University, University of California, Riverside, Center for Conservation Biology, University of California, Los Angeles, United States Geological Survey, Southwest Biological Science Center, Northwest Climate Adaptation Science Center

Language: English

Topic: Seed Germination and Physiology

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Life on land

Open Access status: closed

Funder: U.S. Bureau of Land Management

Award: G2179172918

OpenAlex ID: W7167068405

FWCI:

Cites: 60

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