P. Corona - Academia.edu (original) (raw)

Papers by P. Corona

Canadian Journal of Forest Research, 2011

The k-nearest neighbours (k-NN) method constitutes a possible approach to improve the precision o... more The k-nearest neighbours (k-NN) method constitutes a possible approach to improve the precision of the Horvitz–Thompson estimator of a single interest variable using auxiliary information at the estimation stage. Improvements are likely to occur when the neighbouring structure in the space of auxiliary variables is similar to the neighbouring structure in the space of the survey variables. Populations suitable for k-NN can be identified via the scores of the first principal component computed on the variance–covariance matrix of auxiliary variables. If the first principal component explains a large portion of the whole variability, distances among scores provide good approximations of distances in the space of auxiliary variables in such a way that the effectiveness of k-NN can be assessed by plotting the first principal component scores versus the sampled values of each of the interest variables. Monotone relationships with high values of Spearman’s correlation coefficients should ...

Agriculture and Agricultural Science Procedia, 2016

Environmental conditions affect the individuals' quality of life as well as physical, psychologic... more Environmental conditions affect the individuals' quality of life as well as physical, psychological and social well-being. Green areas play a key role in improving well-being perceived by the citizens in urban contexts. The direct and indirect experience with nature helps to reduce psychophysical stress, induces positive emotions, and facilitates renewal of cognitive resources. An example of this is represented by Pinus pinea L. (Italian stone pine) forests located within or around urban areas. These pinewoods were originally diffused in Mediterranean region to produce wood, pine kernels for alimentary purposes and-in coastal areas-to protect dunes and agricultural territories. However, land use change and coastal urbanization modified their principal functions: while productive function has been gradually reduced, they become important elements of the urban landscape contributing to human well-being with a wide range of cultural services. With increasing interest in the use of urban green space to promote human health, it is interesting to analyze if and to what extent different natural settings, as well as restoration components influence well-being by disentangling the effect on physical and psychological benefits. The aim of this paper is to explore the effect of experience variables and restoration components on individuals' physical and psychological wellbeing. A quantile regression approach was used for data analysis. This approach allows us to understand what happens throughout the entire distribution of psychological and physical well-being reported by visitors of pinewoods and, in particular, at its extremes. Our results show that the effect of the selected covariates is different both throughout the distribution of the dependent variable and between psychological and physical subjective well-being.

Scheda descrittiva del libro "Corona Piermaria, Barbati Anna, Ferrari Barbara, Portoghesi Lu... more Scheda descrittiva del libro "Corona Piermaria, Barbati Anna, Ferrari Barbara, Portoghesi Luigi, Pianificazione ecologica dei Sistemi Forestali, 2019, Compagnia della Foreste - Arezzo" ISBN 978-88-98850-36-5.

L'Italia Forestale e Montana, 2010

Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, 2012

International Journal of Remote Sensing, 2009

Forestsat (Forest and …, 2007

L'Italia Forestale e Montana, 2006

Aim of study: We aim at (i) developing a reference definition of mixed forests in order to harmon... more Aim of study: We aim at (i) developing a reference definition of mixed forests in order to harmonize comparative research in mixed forests and (ii) briefly review the research perspectives in mixed forests. Area of study: The definition is developed in Europe but can be tested worldwide. Material and methods: Review of existent definitions of mixed forests based and literature review encompassing dynamics, management and economic valuation of mixed forests. Main results: A mixed forest is defined as a forest unit, excluding linear formations, where at least two tree species coexist at any developmental stage, sharing common resources (light, water, and/or soil nutrients). The presence of each of the component species is normally quantified as a proportion of the number of stems or of basal area, although volume, biomass or canopy cover as well as proportions by occupied stand area may be used for specific objectives. A variety of structures and patterns of mixtures can occur, and the interactions between the component species and their relative proportions may change over time. The research perspectives identified are (i) species interactions and responses to hazards, (ii) the concept of maximum density in mixed forests, (iii) conversion of monocultures to mixed-species forest and (iv) economic valuation of ecosystem services provided by mixed forests. Research highlights: The definition is considered a high-level one which encompasses previous attempts to define mixed forests. Current fields of research indicate that gradient studies, experimental design approaches, and model simulations are key topics providing new research opportunities.

Forest@ - Rivista di Selvicoltura ed Ecologia Forestale, 2007

iForest - Biogeosciences and Forestry, 2008

Monitoring of forest burnt areas has several aims: to locate and es timate the extent of such are... more Monitoring of forest burnt areas has several aims: to locate and es timate the extent of such areas; to assess the damages suffered by the forest stands; to check the ability of the ecosystem to naturally recover after the fire; to support the planning of reclamation interventions; to assess the dy namics (pattern and speed) of the natural recovery; to check the outcome of any eventual restoration intervention. Remote sensing is an important source of information to support all such tasks. In the last decades, the effectiveness of remotely sensed imagery is increasing due to the advancement of tools and techniques, and to the lowering of the costs, in relative terms. For an effective support to post-fire management (burnt scar perimeter mapping, damage severity assessment, post-fire vegetation monitoring), a mapping scale of at least 1:10000-1:20000 is required: hence, the selection of remotely sensed data is restricted to aerial imagery and to satellite imagery characterized by high (HR) and, above all, very high (VHR) spatial resolution. In the last decade, HR and VHR passive (optical) remote sensing has widespread, providing afford able multitemporal and multispectral pictures of the considered phenomena, at different scales (spatial, temporal and spectral resolutions) with reference to the monitoring needs. In the light of such a potential, the integration of GPS field survey and imagery by light aerial vectors or VHR satellite is currently sought as a viable option for the post-fire monitoring.