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

hal.structure.identifierCentre d’Ecologie Fonctionnelle et Evolutive [CEFE]
hal.structure.identifierCentre d’Ecologie Fonctionnelle et Evolutive [CEFE]
dc.contributor.authorMORIN, Xavier
hal.structure.identifierCentre d’Ecologie Fonctionnelle et Evolutive [CEFE]
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorDAMESTOY, Thomas
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
hal.structure.identifierCentre d’Ecologie Fonctionnelle et Evolutive [CEFE]
dc.contributor.authorTOIGO, Maude
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorCASTAGNEYROL, Bastien
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorJACTEL, Hervé
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
dc.contributor.authorDE COLIGNY, François
hal.structure.identifierUnité expérimentale Forêt Pierroton [UEFP]
dc.contributor.authorMEREDIEU, Céline
dc.date.issued2020
dc.identifier.issn1286-4560
dc.description.abstractEnKey message: In this exploratory study, we show how combining the strength of tree diversity experiment with the long-term perspective offered by forest gap models allows testing the mixture yielding behavior across a full rotation period. Our results on a SW France example illustrate how mixing maritime pine with birch may produce an overyielding (i.e., a positive net biodiversity effect). Context: Understanding the link between tree diversity and stand productivity is a key issue at a time when new forest management methods are investigated to improve carbon sequestration and climate change mitigation. Well-controlled tree diversity experiments have been set up over the last decades, but they are still too young to yield relevant results from a long-term perspective. Alternatively, forest gap models appear as appropriate tools to study the link between diversity and productivity as they can simulate mixed forest growth over an entire forestry cycle. Aims: We aimed at testing whether a forest gap model could first reproduce the results from a tree diversity experiment, using its plantation design as input, and then predict the species mixing effect on productivity and biomass in the long term. Methods: Here, we used data from different forest experimental networks to calibrate the gap model ForCEEPS for young pine (Pinus pinaster) and birch (Betula pendula) stands. Then, we used the refined model to compare the productivity of pure and mixed pine and birch stands over a 50-year cycle. The mixing effect was tested for two plantation designs, i.e., species substitution and species addition, and at two tree densities. Results: Regarding the comparison with the experiment ORPHEE (thus on the short term), the model well reproduced the species interactions observed in the mixed stands. Simulations showed an overyielding (i.e., a positive net biodiversity effect) in pine-birch mixtures in all cases and during the full rotation period. A transgressive overyielding was detected in mixtures resulting from birch addition to pine stands at low density. These results were mainly due to a positive mixing effect on pine growth being larger than the negative effect on birch growth. Conclusion: Although this study remains explorative, calibrating gap models with data from monospecific stands and validating with data from the manipulative tree diversity experiment (ORPHEE) offers a powerful tool for further investigation of the productivity of forest mixtures. Improving our understanding of how abiotic and biotic factors, including diversity, influence the functioning of forest ecosystems should help to reconsider new forest managements optimizing ecosystem services.
dc.description.sponsorshipDiversité et Productivité des forêTs impactées par le Changement Climatique - ANR-16-CE32-0003
dc.language.isoen
dc.publisherSpringer Nature (since 2011)/EDP Science (until 2010)
dc.subject.enForest gap models
dc.subject.enOveryielding
dc.subject.enProductivity
dc.subject.enBiodiversity
dc.subject.enForCEEPS model
dc.subject.enORPHEE experiment
dc.subject.enPinus pinaster
dc.subject.enBetula pendula
dc.title.enUsing forest gap models and experimental data to explore long-term effects of tree diversity on the productivity of mixed planted forests
dc.typeArticle de revue
dc.identifier.doi10.1007/s13595-020-00954-0
dc.subject.halSciences du Vivant [q-bio]/Biodiversité/Systématique, phylogénie et taxonomie
dc.subject.halSciences du Vivant [q-bio]/Ecologie, Environnement/Ecosystèmes
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale/Botanique
dc.subject.halSciences de l'environnement/Biodiversité et Ecologie
bordeaux.journalAnnals of Forest Science
bordeaux.volume77
bordeaux.issue2
bordeaux.peerReviewedoui
hal.identifierhal-02862488
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02862488v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Annals%20of%20Forest%20Science&rft.date=2020&rft.volume=77&rft.issue=2&rft.eissn=1286-4560&rft.issn=1286-4560&rft.au=MORIN,%20Xavier&DAMESTOY,%20Thomas&TOIGO,%20Maude&CASTAGNEYROL,%20Bastien&JACTEL,%20Herv%C3%A9&rft.genre=article


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