1,721,027 research outputs found

    Field-Map: riscontri pratici sull’utilizzo in campagne di rilievo L’esperienza dell’Università del Molise nell’ambito di progetti di ricerca e progetti LIFE

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    L’utilizzo di strumenti computerizzati in bosco a supporto della valutazione quali-quantitativa delle risorse forestali, soprattutto per fini gestionali, è in continua evoluzione. Qui presentiamo un riscontro pratico della tecnologia Field-Map utilizzata in alcuni ambiti di ricerca

    Variabilità nella risposta ai cambiamenti climatici delle faggete: un’analisi bibliografica

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    Climate change influences the stability and health of forests, impacting on forest structure, composition, and functioning. European beech is one of the most widespread and important tree species for the European forest sector, and the impact of climate change on this species was analysed through dendrochronology, phenological monitoring, model distribution and multilevel process. These studies highlighted how the beech productivity and distribution are influenced by temperature with contrasting future projections about the adaptability of this species to climate change. The increasing temperature plays a role in the length of the growing season, especially with increasing spring temperature that determined an early budbreak in leaf phenology or an early beginning of wood production. Low precipitation also limits beech forest productivity. Moreover, temperature defines the shifting climate zones pole ward in the mid to high latitudes and shifting upward in regions of higher elevation modifying the species distribution. However, large uncertainties exist due to the anomalies of precipitations that with temperature influence the soil water contents and the availability of soil nutrients modifying the growth. Finally, also repro duction is affected by climate and in relation to growth is subjected to trade-offs in the allocation and depletion of resources

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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