Leveraging extensive soil, vegetation, fire, and land treatment data to inform restoration across the sagebrush biome
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Abstract
Context
Widespread ecological degradation has prompted calls for massive global investments in ecological restoration, yet limited resources necessitate efficient application of restoration efforts. In western North America, altered fire regimes are increasing the scale of restoration needed to preserve the sagebrush (Artemisia species) biome but prioritizing and implementing effective restoration is complicated by the vast and heterogeneous sagebrush landscape, which includes gradients in climate, disturbance, and species composition.
Objectives
To develop spatially explicit and context-dependent estimates of treatment efficacy and sagebrush recovery rates.
Methods
We leveraged a suite of spatio-temporally extensive datasets to evaluate the influence of restoration treatments and environmental conditions on trends in post-disturbance sagebrush cover, with an emphasis on understanding differences between sites recovering naturally and sites receiving restoration treatments. We used estimates from these models to develop spatially explicit projections for sagebrush recovery, conditional on disturbance, restoration practice, and environmental conditions.
Results
We found seeding Artemisia spp. increased sagebrush cover over time relative to natural recovery, but this relationship depended on spring soil moisture availability and treatment methods. Natural recovery was positively influenced by soil moisture and sagebrush cover and negatively influenced by cumulative burns and annual herbaceous cover, while the influence of perennial herbaceous cover varied with soil moisture.
Conclusions
Our results provide biome-wide insights and spatially explicit tools that can inform economic cost-effectiveness analyses, restoration prioritization tools, and other scientific endeavors to ensure managers have the tools and information needed to effectively steward the sagebrush biome in a rapidly changing world.
Study Area
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Leveraging extensive soil, vegetation, fire, and land treatment data to inform restoration across the sagebrush biome |
Series title | Landscape Ecology |
DOI | 10.1007/s10980-024-01968-z |
Volume | 39 |
Year Published | 2024 |
Language | English |
Publisher | Springer |
Contributing office(s) | Forest and Rangeland Ecosys Science Center, Fort Collins Science Center |
Description | 184, 23 p. |
Country | United States |
Google Analytic Metrics | Metrics page |