Spatial Modeling of Douglas-Fir Plantations in Italy After 120 Years of Experimentation

意大利花旗松人工林120年试验后的空间建模

阅读:1

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) score of 0.91, suggesting that temperature-related factors primarily influence the survival of Douglas-fir stands in Italy. The two most relevant predictors were GDD5 (growing degree-days above 5°C) and AHM (Annual Heat Moisture), indicating the importance of temperatures and water availability also in the Mediterranean area. A large portion of Italy was predicted to be potentially suitable for Douglas-fir afforestation or reforestation, mainly across the Apennine Mountains of central Italy. Model projections for the species' native area largely overlap with the range of the coastal variety of Douglas-fir (P. menziesii var. viridis), supporting the hypothesis that most Douglas-fir stands in Italy were established using propagation material from this region.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。