Spatial Modeling of Douglas‐Fir Plantations in Italy After 120 Years of Experimentation
Maurizio Marchi, Martina Cocozza, Gabriele Bucci, Paolo Iovieno

TL;DR
This study identifies temperature and moisture as key factors for the survival of Douglas-fir in Italy after 120 years of planting.
Contribution
The study uses spatial modeling to show how climate factors influence the survival of Douglas-fir in Italy and its match with the species' native range.
Findings
Temperature-related factors like GDD5 and AHM are the main predictors of Douglas-fir survival in Italy.
A large portion of central Italy is predicted to be suitable for Douglas-fir plantations.
Model projections align with the coastal variety of the species' native range.
Abstract
This study aims to identify the ecological factors that drive the survival of Douglas‐fir ( Pseudotsuga menziesii [Mirb.] Franco) in Italy, using data from old‐growth experimental stands. A record of 124 Douglas‐fir plantations was compiled from a literature review and ground survey, including 98 Douglas‐fir stands established in the early 20th century. The probability of survival of the species at the surveyed sites was modeled using Species Distribution Models (SDM) with soil and climatic variables as predictors. Pseudo‐absences were also used to balance the proportion of presences and absences in the modeling steps. The best‐fitting models were used to predict the probability of survival of Douglas‐fir stands across the entire country and in the native range of the species to assess the model's goodness of fit. Fitted models performed well with a mean True Skill Statistics (TSS)…
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Taxonomy
TopicsForest ecology and management · Species Distribution and Climate Change · Forest Management and Policy
