73591027-0f1e-40a3-95d0-b614517c1290 eng MAURIZIO Marchi CREA - Forestry Research centre +39 0575 3533021 Viale S. Margherita 80 Arezzo 52100.0 Italy maurizio.marchi@crea.gov.it 2018-03-09T12:00:46 ISO 19115:2003/19139 1.0 EPSG 7.4 A spatial dataset of forest mensuration collected in black pine plantations in central Italy This dataset has been developed during the A2 Action of the SelPiBio LIFE project (www.selpibio.eu). The main aim of this project is demonstrate the effects of two thinning regimes, selective and from below, on soil biodiversity in young black pine stands. To evaluate the effect of thinning on analysed pinewoods, eighteen monitoring areas of 1 ha each were designed and realized across two study areas in Tuscany (Central Italy), the Pratomagno mountain chain and the Monte Amiata (Fig.1). In each study area, 27 circular plots of 15 metres of radius were geo-referenced (3 for each monitoring area). All the included trees were measured and data were collected between 2015 and early 2016 to characterize the horizontal and vertical structure of studied forests. To describe horizontal,vertical and forest structure of two young Black pine plantations in Central Italy before and after the application of two different thinning systems PAOLO Cantiani CREA - Forestry Research centre +39 0575 3533021 Viale S. Margherita 80 Arezzo 52100.0 Italy paolo.cantiani@crea.gov.it Forestry / Pinus nigra / Biodiversity / SelPiBio LIFE project / spatial point patterns EUROPE / ITALY FORESTRY Data belongs to CREA - Forestry Research centre institution 11.624394 11.71136 42.934834 43.59973 Thu Jan 01 00:00:00 CET 2015 Thu Mar 31 00:00:00 CEST 2016 http://doi.org/10.5281/zenodo.438681 WWW:LINK-1.0-http--link Zenodo data repository https://geodata.inrae.fr/geonetwork/srv/api/records/73591027-0f1e-40a3-95d0-b614517c1290/attachments/original_file_metadata.xlsx WWW:DOWNLOAD-1.0-http--download original_file_metadata.xlsx Original File Metadata https://doi.org/10.1007/s13595-017-0648-8 WWW:LINK-1.0-http--link Annals of Forest Science Data Paper