Using forest gap models and experimental data to explore long-term effects of tree diversity on the productivity of mixed planted forests

• DOI: 10.1007/s13595-020-00954-0
• Publication Date: 2020-05-25T14:02:52Z
• Authors: Xavier Morin; Thomas Damestoy; Maude Toigo; Bastien Castagneyrol; Hervé Jactel; François de Coligny; Céline Meredieu
• Keywords: Pinus pinaster; Forest Inventory

Abstract Key message In this exploratory study, we show how combining the strength of tree diversity experiment with long-term perspective offered by forest gap models allows testing mixture yielding behavior across a full rotation period. Our results on SW France example illustrate mixing maritime pine birch may produce an overyielding (i.e., positive net biodiversity effect). Context Understanding link between and stand productivity is key issue at time when new management methods are investigated to improve carbon sequestration climate change mitigation. Well-controlled experiments have been set up over last decades, but they still too young yield relevant from perspective. Alternatively, appear as appropriate tools study can simulate mixed growth entire forestry cycle. Aims We aimed whether model could first reproduce experiment, using its plantation design input, then predict species effect biomass in long term. Methods Here, used data different experimental networks calibrate F or CEEPS for ( Pinus pinaster ) Betula pendula stands. Then, refined compare pure stands 50-year The was tested two designs, i.e., substitution addition, densities. Results Regarding comparison ORPHEE (thus short term), well reproduced interactions observed Simulations showed effect) pine-birch mixtures all cases during A transgressive detected resulting addition low density. These were mainly due being larger than negative growth. Conclusion Although remains explorative, calibrating monospecific validating manipulative (ORPHEE) offers powerful tool further investigation mixtures. Improving our understanding abiotic biotic factors, including diversity, influence functioning ecosystems should help reconsider managements optimizing ecosystem services.