Abstract
<p>Interannual variation, especially weather, is an often-cited reason for restoration failures ; yet its importance is difficult to experimentally isolate across broad spatiotemporal extents, due to correlations between weather and site characteristics. In the analysis associated with this dataset, we examined post-fire treatments within sagebrush-steppe ecosystems to ask: 1) Is weather following seeding efforts a primary reason why restoration outcomes depart from predictions? and 2) Does the management-relevance of weather differ across space and with time since treatment?</p> <p>This dataset integrates remotely sensed estimates of sagebrush (Artemisia spp.) cover from the RCMAP product (<a href="https://www.mrlc.gov/data-services-page">https://www.mrlc.gov/data-services-page</a>), areas that received post-fire seeding, identified using the Land Treatment Digital Library (<a href="https://ltdl.wr.usgs.gov/">https://ltdl.wr.usgs.gov/</a>), and GridMet surface meteorological data (<a href="https://www.climatologylab.org/gridmet.html">https://www.climatologylab.org/gridmet.html</a>) to describe the impacts of weather on sagebrush recovery following restoration treatments.</p> <p><strong>Data Use</strong><br /> <em>License</em><br /> Creative Commons Zero v1.0 Universal (<a href="https://creativecommons.org/publicdomain/zero/1.0/legalcode">CC0 v1.0</a>)<br /> <em>Recommended Citation</em><br /> Simler-Williamson A, Applestein C, Germino M. 2022. Interannual variation in climate contributes to contingency in post-fire restoration outcomes in seeded sagebrush steppe [Dataset]. Dryad. <a href="https://doi.org/10.25338/B87H16">https://doi.org/10.25338/B87H16</a></p>