Blar i NIBIO Brage på forfatter "Antón Fernandéz, Clara"

Viser treff 1-4 av 4

    • Building a high-resolution site index map using boosted regression trees: The Norwegian case 

      Antón Fernandéz, Clara; Hauglin, Marius; Breidenbach, Johannes; Astrup, Rasmus Andreas (Peer reviewed; Journal article, 2023-03-15)
      Accurate estimation of site productivity is essential for forest projections and scenario modelling. We present and evaluate models to predict site index (SI) and whether a site is productive (potential total stem volume ...

    • Climate targets in European timber-producing countries conflict with goals on forest ecosystem services and biodiversity 

      Blattert, Clemens; Mönkkönen, Mikko; Burgas, Daniel; Di Fulvio, Fulvio; Caicoya, Astor Toraño; Vergarechea, Marta; Klein, Julian; Hartikainen, Markus; Antón Fernandéz, Clara; Astrup, Rasmus Andreas; Emmerich, Michael; Forsell, Nicklas; Lukkarinen, Jani; Lundström, Johanna; Pitzén, Samuli; Poschenrieder, Werner; Primmer, Eeva; Snäll, Tord; Eyvindson, Kyle (Peer reviewed; Journal article, 2023-04-14)
      The European Union (EU) set clear climate change mitigation targets to reach climate neutrality, accounting for forests and their woody biomass resources. We investigated the consequences of increased harvest demands ...

    • Depth-to-water maps as predictors of rut severity in fully mechanized harvesting operations 

      Heppelmann, Joachim; Talbot, Bruce; Antón Fernandéz, Clara; Astrup, Rasmus Andreas (Peer reviewed; Journal article, 2022-03-14)
      The preservation of the functionality of forest soil is a key aspect in planning mechanized harvesting operations. Therefore, knowledge and information about stand and soil characteristics are vital to the planning process. ...

    • A stand-level growth and yield model for thinned and unthinned managed Norway spruce forests in Norway 

      Allen, Micky; Antón Fernandéz, Clara; Astrup, Rasmus Andreas (Peer reviewed; Journal article, 2020-06-05)
      A new stand-level growth and yield model, consisting of component equations for stand volume, basal area, survival, and dominant stand height, was developed from a dataset of long-term trials for managed thinned and unthinned ...