Supporting dryland restoration success with applied ecological forecasting of seeding outcomes

Gregor-Fausto Siegmund; Daniel Rodolphe Schlaepfer; Caitlin M. Andrews; Leland D. Bennion; Jacob Ferguson; Michelle I. Jeffries; Peggy Olwell; David S. Pilliod; Allison B. Simler-Williamson; Alice E. Stears; Regina Zweng; John B. Bradford

doi:10.1111/rec.70179

USGS · 70271975

Supporting dryland restoration success with applied ecological forecasting of seeding outcomes

Gregor-Fausto Siegmund·Daniel Rodolphe Schlaepfer·Caitlin M. Andrews·Leland D. Bennion·Jacob Ferguson·Michelle I. Jeffries·Peggy Olwell·David S. Pilliod·Allison B. Simler-Williamson·Alice E. Stears·Regina Zweng·John B. Bradford

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Abstract

Introduction Ecological restoration is increasingly used to sustain biodiversity and ecosystem services. In drylands of the western United States (US), post-disturbance restoration often involves seeding treatments to promote the recovery of native plant communities. Spatial and temporal variability in environmental conditions influences plant establishment and contributes to low restoration success in certain locations and years. Objectives Here, we discuss how forecasts for plant establishment can be developed and delivered to help land managers anticipate the impacts of near-term (months to years) environmental conditions on restoration. Methods We developed an ecological forecast system that predicts the outcome of restoration seeding by integrating weather forecasts, an ecosystem water balance model, and plant establishment models. Results In this article, we focus on a conceptual approach to developing, delivering, and applying ecological forecasts for restoration. We illustrate the potential of this approach by adapting existing ecological models to build an initial version of a decision support tool that delivers a species-specific ecological forecast for big sagebrush ( Artemisia tridentata ) establishment. Integrating ecological forecasts into plans for restoration seeding presents opportunities to anticipate and account for environmental variability. Conclusions Finally, we discuss how connecting research, forecast delivery, and management can maximize the impact of ecological forecasts on restoration success.

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Restoration Ecology Article

Source-reported bounding extent: 35.102603397362174° to 49.006099110584074° latitude; -120.01502417645318° to -111.09431773284155° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

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Gregor-Fausto Siegmund, Daniel Rodolphe Schlaepfer, Caitlin M. Andrews, Leland D. Bennion, Jacob Ferguson, Michelle I. Jeffries, Peggy Olwell, David S. Pilliod, Allison B. Simler-Williamson, Alice E. Stears, Regina Zweng, John B. Bradford. 2025-09-23. Supporting dryland restoration success with applied ecological forecasting of seeding outcomes. https://doi.org/10.1111/rec.70179

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