Subalpine tree seedlings: Assessing aging methodology and drivers of establishment

Schapira, Zoe H.; Stevens‐Rumann, Camille S.; Shorrock, Donna

doi:10.1016/j.foreco.2021.119516

Cited by 3 publications

(1 citation statement)

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“…Therefore, we used several existing climate, terrain and soil datasets as predictors of juvenile densities and height growth rates. These predictors included annual water balance metrics (actual evapotranspiration and climatic water deficit), seasonal precipitation totals (summer and winter precipitation), extreme temperatures from the warmest and coldest months (July maximum and January minimum), terrain proxies for moisture availability (topographic position index, topographic wetness index, heat load index) and soil available water capacity (Appendix S3) – variables known to influence tree regeneration in SRM forests (Andrus et al, 2018; Rodman et al, 2020; Schapira, Stevens‐Rumann, & Shorrock, 2021).…”

Section: Methodsmentioning

confidence: 99%

Rocky Mountain forests are poised to recover following bark beetle outbreaks but with altered composition

et al. 2022

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1. Amplified by warming temperatures and drought, recent outbreaks of native bark beetles (Curculionidae: Scolytinae) have caused extensive tree mortality throughout Europe and North America. Despite their ubiquitous nature and important effects on ecosystems, forest recovery following such disturbances is poorly understood, particularly across regions with varying abiotic conditions and outbreak effects. 2. To better understand post-outbreak recovery across a topographically complex region, we synthesized data from 16 field studies spanning subalpine forests in the Southern Rocky Mountains, USA. From 1997 to 2019, these forests were heavily affected by outbreaks of three native bark beetle species (Dendroctonus ponderosae, Dendroctonus rufipennis and Dryocoetes confusus). We compared pre-and post-outbreak forest conditions and developed region-wide predictive maps of post-outbreak (1) live basal areas, (2) juvenile densities and (3) height

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Section: Methodsmentioning

confidence: 99%