ArticleEcosystems (New York, N.Y.)2026
Synthesizing Spectral and Field Observations of Post-fire Conifer Recovery in Dry Conifer Forests.
Article in Ecosystems (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coniferous forests of the Western Cordillera are particularly affected by recent increases in wildfire extent and severity. After fire, conifer establishment and growth rates are influenced by a wide range of ecological drivers. Understanding the relative influence of ecological drivers on conifer recovery is crucial when modeling landscape dynamics. Past research has examined a wide variety of ecological drivers; however, syntheses of these drivers are rare. This systematic review focuses on forest recovery pathways, which have distinct variability in spatial and temporal measures of conifer establishment and growth. From studies examined, we extracted whether the study identified a recovery pathway and whether field or satellite spectral methods were used. Spectral methods were the most common method to determine the 84 extracted pathways. Among pathways identified, conifer self-replacement was the most common, but the second most common was state change, wherein the forest transitions in landcover type. We also investigated how recovery varied relative to different ecological drivers. Among the > 1000 drivers considered, pre-fire composition and post-fire moisture had consistent positive associations with all recovery metrics, while the association with other drivers varied by metric (stem density versus composition) and/or method (field versus spectral). Our review outlines key gaps for future research, including (1) the accuracy of spectral monitoring to capture structural growth trends, such as stem densities over time, and (2) how the effects of ecological drivers vary across scales, such as post-fire shrub cover at local versus landscape levels. Overall, fusing spectral and field data across spatiotemporal scales improves our understanding of post-wildfire recovery and dynamics, as well as our ability to anticipate the impacts of changing climate and wildfire conditions on recovering forests. Supplementary Information: The online version contains supplementary material available at 10.1007/s10021-025-01029-9.
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