Annals of Forest Science

, 76:80 | Cite as

Multi-temporal dataset of stand and canopy structural data in temperate and Mediterranean coppice forests

  • Francesco ChianucciEmail author
  • Carlotta Ferrara
  • Giada Bertini
  • Gianfranco Fabbio
  • Clara Tattoni
  • Duccio Rocchini
  • Piermaria Corona
  • Andrea Cutini
Data Paper


Key message

We provided long-term stand and canopy structural data from permanent monitoring plots representative of some most diffuse temperate and Mediterranean forests, under different coppice management regimes. Periodic inventories were performed in the surveyed plots since the 1970s. Annual litterfall production and its partitioning (leaf, woody, reproductive parts) and optical canopy measurements using the LAI-2000 Plant Canopy Analyzer were performed every year in fully equipped plots since the 1990s. These data can be used for evaluating the influence of coppice management in the stand and canopy structure, the parametrization of radiative transfer models that require accurate ground truth data, and the calibration of high to medium resolution remotely sensed data. Dataset access is at Associated metadata is available at .


Coppice management Canopy gap fraction Leaf area index Conversion Litterfall 



We thank the anonymous Reviewer and the handling Editor Marianne Peiffer for the constructive comments, which improved the original version of the manuscript. We are grateful for all technicians of CREA, who contributed to field data collection, with particular reference to Maurizio Piovosi, Luca Marchino, Tessa Giannini, Umberto di Salvatore, Leonardo Tonveronachi, Valter Cresti, Eligio Bucchioni, Umberto Cerofolini, and Luigi Mencacci.


The dataset has partly been compiled within the LIFE 14 ENV/IT/000514 “Shaping future forestry for sustainable coppices in southern Europe: the legacy of past management trials”—FutureForCoppiceS (

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.


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Copyright information

© INRA and Springer-Verlag France SAS, part of Springer Nature 2019

Authors and Affiliations

  1. 1.CREA-FL, Research Centre for Forestry and WoodArezzoItaly
  2. 2.Fondazione Edmund MachTrentoItaly
  3. 3.University of Trento, Department of Cellular, Computational and Integrative Biology (CIBIO)PovoItaly
  4. 4.Department of Applied Geoinformatics and Spatial Planning, Faculty of Environmental SciencesCzech University of Life Sciences PraguePraha – SuchdolCzech Republic

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