Quantile regression for estimating Douglas-fir natural regeneration potential using the R package quaxnat: Advanced ecological modeling for the management of nature conservation and silviculture

Maximilian Axer, Robert Schlicht and Lukas Blickensdörfer

Ecological Modelling, 2025, vol. 501, issue C

Abstract: Recent extreme weather conditions in Europe have led to widespread destruction of Norway spruce by storms and bark beetles, creating large clearings that need replanting. The shortage of planting material has shifted focus to natural regeneration processes, with Douglas-fir (Pseudotsuga menziesii [Mirb.] Franco) emerging as a potential substitute due to its growth performance and drought tolerance. This study introduces and applies methods for investigating the regeneration ecology of Douglas-fir, focusing on the potential density of established regeneration and its dependence on the distance to the nearest seed source.

Keywords: Douglas-fir; Established natural regeneration; Quantile regression; Forest inventory data; Remote sensing (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:501:y:2025:i:c:s0304380024003569

DOI: 10.1016/j.ecolmodel.2024.110968

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