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Data Platforms for Mixed Forest Research: Contributions from the EuMIXFOR Network

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Dynamics, Silviculture and Management of Mixed Forests

Part of the book series: Managing Forest Ecosystems ((MAFE,volume 31))

Abstract

Forest inventory data, observational studies (mensurative and manipulative), and planted experiments provide the main data sources for the study of mixed forests. Demonstrative experiments such as marteloscopes are also basic to both research and training. Under the umbrella of the EuMIXFOR project, several research efforts have been conducted to further our knowledge as regards the functioning and development of mixed forests. Within this project, information from different forest research experiments at European level focusing on mixed forests has been compiled in order to identify the current state of the art. In the case of the European beech and Scots pine mixture, a gradient of triplets of monospecific and pure plots of these species has been established across Europe. Common establishment and measurement protocols have been developed in order to harmonize comparisons and analyses. Data sharing is also an objective; therefore, data from the triplet study of the European beech and Scots pine mixture are now available. A common dataset with the National Forest Inventory data from some European countries has been used for the study of mixtures.

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Acknowledgments

The authors thank COST Action FP1206 EuMIXFOR (Integrating Scientific Knowledge in Sustainable Forest Management) for supporting the networking where this study has been developed. The first author also thanks the REFORM project (Resilience of Forest Mixtures) under the Sumforest ERA-NET funding for their intended continuation of scientific cooperation. We acknowledge Lauri Valsta for his review and comments in order to improve the quality of this manuscript.

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Authors and Affiliations

  1. Department of Silviculture and Forest Systems Management, Forest Reseach Center (CIFOR), Spanish Institute for Agriculture and Food Research and Technology (INIA), Madrid, Spain

    Ricardo Ruiz-Peinado

  2. iuFOR – Sustainable Forest Management Research Institute, University of Valladolid & INIA, Palencia, Spain

    Ricardo Ruiz-Peinado

  3. Technische Universität München, Munich, Germany

    Michael Heym & Hans Pretzsch

  4. Forest Research, Institute of Ecology, Ilia State University, Tbilisi, Georgia

    Lars Drössler

  5. Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Forestry Research Centre (CREA-SEL), Arezzo, Italy

    Piermaria Corona

  6. Department of Natural Systems and Resources, School of Forestry, Technical University of Madrid, Madrid, Spain

    Sonia Condés

  7. Sustainable Forest Management Research Institute, University of Valladolid & INIA, Palencia, Spain

    Felipe Bravo

  8. ETS de Ingenierias Agrarias, University of Valladolid, Palencia, Spain

    Felipe Bravo

  9. Department of Biogeography and Global Change, National Museum of Natural Sciences (MNCN-CSIC), Madrid, Spain

    Andrés Bravo-Oviedo

  10. Department of Silviculture and Forest Management (INIA-CIFOR) & iuFOR – Sustainable Forest Management Research Institute, University of Valladolid & INIA, Madrid, Spain

    Miren del Río

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  1. Ricardo Ruiz-Peinado
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  2. Michael Heym
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  9. Miren del Río
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Corresponding author

Correspondence to Ricardo Ruiz-Peinado .

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Editors and Affiliations

  1. Department of Biogeography and Global Change, National Museum of Natural Sciences (MNCN-CSIC), Madrid, Spain

    Andrés Bravo-Oviedo

  2. Center of Life and Food Sciences Weihenstephan, Technical University of Munich, Freising, Germany

    Hans Pretzsch

  3. Department of Silviculture and Forest Management (INIA-CIFOR) & iuFOR – Sustainable Forest Management Research Institute, University of Valladolid & INIA, Madrid, Spain

    Miren del Río

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Ruiz-Peinado, R. et al. (2018). Data Platforms for Mixed Forest Research: Contributions from the EuMIXFOR Network. In: Bravo-Oviedo, A., Pretzsch, H., del Río, M. (eds) Dynamics, Silviculture and Management of Mixed Forests. Managing Forest Ecosystems, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-91953-9_3

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