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Regions of provenance for reproductive materials of the three main forest species of Abruzzi
Marchi , Maurizio , Chiavetta , U. , Castaldi , Cristiano , Di Silvestro , Daniela , Contu , Francesco , Ducci , Fulvio
mediterranean area abruzzi forest reproductive materials regions of provenance
Mostra abstract
Regions of provenance of reproductive materials are a mandatory tool for the management of forest genetic resources in Europe. Italian regulation (D. Lgs. 386/2003), in contrast with other European countries, gives this role to regional administrations. Here we present a map of the Regions of Provenance for Abruzzi in central Italy. Three environmental zones were identified according to climatic variability using a spatial clustering procedure and the three main forest species for the region were mapped: European beech (Fagus sylvatica L.), European black pine (Pinus nigra J.F. Arnold) and Turkey oak (Quercus cerris L.). The results show that the main driving factors for clustering are temperature regimes reflecting the contrast between the continental climate of the interior of the region versus the Mediterranean climate on the coast. This effect was also evident in the delineation of the Regions of Provenance for the three main species where elevation plays a key role in the selection of seed stands. The Regions of Provenance of the three species will be used for the correct management of forest reproductive materials collected from the six seed stands of the Region. © 2016 Ugo Chiavetta.
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2016
Rivista
Journal of Maps
Dettagli
Vol. 12 pp. 94 - 97
DOI
Assessing the maintenance of forest resources and their contribution to carbon cycles
Becagli , Claudia , Bertini , Giada , Cammarano , Mario , Cantiani , Paolo , Čater , Matjaž , Chiavetta , U. , Coletta , Vittoria , Conforti , Massimo , D'Andrea , Ettore , Di Salvatore , D. , Fabbio , Gianfranco , Ferlan , Mitja , Ferreira , Andreja , Ferretti , Fabrizio , Giovannozzi Sermanni , A. , Kobler , Andrej , Kovač , Marko , Marinšek , Aleksander , Micali , Marco , Pellicone , Gaetano , Planinšek , Špela , Rezaei , N. , Sicuriello , Flavia , Skudnik , Mitja , Tonti , Daniela
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2016
Rivista
Annals of Silvicultural Research
Dettagli
Vol. 40 (1) pp. 55 - 63
ManFor C.Bd sites and the drivers of forest functions
Di Salvatore , Umberto , Tonti , Daniela , Bascietto , Marco , Chiavetta , U. , Cantiani , Paolo , Fabbio , Gianfranco , Becagli , Claudia , Bertini , Giada , Sansone , Dalila , Skudnik , Mitja , Kobal , Milan , Kutnar , Lado , Ferreira , Andreja , Kobler , Andrej , Kovač , Marko , Ferretti , Fabrizio
biodiversity italy silviculture slovenia carbon retention forest functions landscape driving forces silviculture driving forces life manfor c.bd management options
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2016
Rivista
Italian Journal of Agronomy
Dettagli
Vol. 11 (S1) pp. 64 - 95
Estimation of canopy attributes in beech forests using true colour digital images from a small fixed-wing UAV
Chianucci , Francesco , Disperati , L. , Guzzi , Donatella , Bianchini , Daniele , Nardino , Vanni , Lastri , Cinzia , Rindinella , Andrea , Corona , P.
fagus sylvatica leaf area index drone hemispherical photography cover photography sensefly ebee
Mostra abstract
Accurate estimates of forest canopy are essential for the characterization of forest ecosystems. Remotely-sensed techniques provide a unique way to obtain estimates over spatially extensive areas, but their application is limited by the spectral and temporal resolution available from these systems, which is often not suited to meet regional or local objectives. The use of unmanned aerial vehicles (UAV) as remote sensing platforms has recently gained increasing attention, but their applications in forestry are still at an experimental stage. In this study we described a methodology to obtain rapid and reliable estimates of forest canopy from a small UAV equipped with a commercial RGB camera. The red, green and blue digital numbers were converted to the green leaf algorithm (GLA) and to the CIE L<sup>*</sup>a<sup>*</sup>b<sup>*</sup> colour space to obtain estimates of canopy cover, foliage clumping and leaf area index (L) from aerial images. Canopy attributes were compared with in situ estimates obtained from two digital canopy photographic techniques (cover and fisheye photography). The method was tested in beech forests. UAV images accurately quantified canopy cover even in very dense stand conditions, despite a tendency to not detecting small within-crown gaps in aerial images, leading to a measurement of a quantity much closer to crown cover estimated from in situ cover photography. Estimates of L from UAV images significantly agreed with that obtained from fisheye images, but the accuracy of UAV estimates is influenced by the appropriate assumption of leaf angle distribution. We concluded that true colour UAV images can be effectively used to obtain rapid, cheap and meaningful estimates of forest canopy attributes at medium-large scales. UAV can combine the advantage of high resolution imagery with quick turnaround series, being therefore suitable for routine forest stand monitoring and real-time applications. © 2015 Elsevier B.V.
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2016
Rivista
International Journal of Applied Earth Observation and Geoinformation
Dettagli
Vol. 47 pp. 60 - 68
DOI