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Pubblicazioni Scientifiche
Filtri di ricerca 3 risultati
Pubblicazioni per anno
One to rule them all? Assessing the performance of sustainable forest management indicators against multitaxonomic data for biodiversity conservation
Paillet
,
Yoan
,
Zapponi
,
Livia
,
Schall
,
Peter
,
Monnet
,
Jean Matthieu
,
Ammer
,
Christian
,
Balducci
,
Lorenzo
,
Boch
,
Steffen
,
Brazaitis
,
Gediminas
,
Campanaro
,
Alessandro
,
Chianucci
,
Francesco
,
Doerfler
,
Inken
,
Fischer
,
Markus
,
Gosselin
,
Marion
,
Goßner
,
Martin M.
,
Heilmann-Clausen
,
Jacob
,
Hofmeister
,
Jeňýk
,
Hošek
,
Jan
,
Jung
,
Kirsten G.
,
Kepfer-Rojas
,
Sebastian
,
Ódor
,
Péter
,
Tinya
,
Flóra
,
Trentanovi
,
Giovanni
,
Vacchiano
,
Giorgio
,
Vandekerkhove
,
Kris
,
Weisser
,
Wolfgang W.
,
Wohlwend
,
Michael Rudolf
,
Burrascano
,
Sabina
Mostra abstract
Several regional initiatives and reporting efforts assess the state of forest biodiversity through broad-scale indicators based on data from national forest inventories. Although valuable, these indicators are essentially indirect and evaluate habitat quantity and quality rather than biodiversity per se. Therefore, their link to biodiversity may be weak, which decreases their usefulness for decision-making. For several decades, Forest Europe indicators assessed the state of European forests, in particular their biodiversity. However, no extensive study has been conducted to date to assess their performance – i.e. the capacity of the indicators to reflect variations in biodiversity – against multitaxonomic data. We hypothesized that no single biodiversity indicator from Forest Europe can represent overall forest biodiversity, but that several indicators would reflect habitat quality for at least some taxa in a comprehensive way. We tested the set of Forest Europe's indicators against the species richness of six taxonomic and functional groups across several hundreds of sampling units over Europe. We showed that, while some indicators perform relatively well across groups (e.g. deadwood volume), no single indicator represented all biodiversity at once, and that a combination of several indicators performed better. Forest Europe indicators were chosen for their availability and ease of understanding for most people. However, we showed that gaps in the monitoring framework persist, and that surveying certain taxa along with stand structure is necessary to support policymaking and tackle forest biodiversity loss at the large scale. Adding context (e.g. forest type) may also contribute to increase the performance of biodiversity indicators. © 2024 Elsevier Ltd
A simple multivariate analysis to assess diversity in a complex long-term managed forest area in central Italy
forest biodiversity
forest ecosystems
sustainable forest management
correlation
principal components analysis
Mostra abstract
Today wood and nonwood forest resources management meets and often clashes with environment and biological diversity protection. A main problem is to understand relationships between the different roles of forest biodiversity, site, and management parameters. A multivariate statistical analysis has been carried out in order to interpret relationships between some forest biodiversity components and forest inventory data. Several indices of floristic diversity, species abundance, and structural heterogeneity at stand level have been calculated. The different components of forest biodiversity were separated by principal components analysis. Relations between forest biodiversity indices and site and management attributes have been investigated by two multivariate statistical techniques: bivariate correlation analysis and multiple linear regression. Results showed a high correlation between all the investigated components of forest biodiversity and some topographic and/or forest management attributes. Results also gave ancillary information to define sustainable forest management criteria. © 2014 Società Botanica Italiana.
Assessment of potential bioenergy from coppice forests trough the integration of remote sensing and field surveys
Lasserre
,
Bruno
,
Chirici
,
Gherardo
,
Chiavetta
,
U.
,
Garfì
,
Vittorio
,
Tognetti
,
Roberto
,
Drigo
,
Rudi
,
Di Martino
,
P.
,
Marchetti
,
Marco
remote sensing
forest inventory
sustainable forest management
coppice
firewood biomass
k-nearest neighbours
Mostra abstract
A spatially explicit knowledge of forest resources is essential to support the sustainable use of wood as a fuel for producing energy (firewood).This paper describes the integrated use of remotely sensed data and sample based forest inventories to derive a biomass map for coppice forest, resulted estimated potential biomass available is contrasted with local domestic consumptions at the municipality level. The test was carried out in an environmentally and socially homogeneous district of Apennine Mountains (Alto Molise, south-central Italy) coupling multispectral high resolution Landsat 7 ETM+ satellite imagery and a local forest inventory trough the application of the non-parametric estimation procedure k-Nearest Neighbours (k-NN). Several forest management scenarios were applied in order to evaluate their impact on the potential availability of firewood from coppice forests.The paper introduces data and methods used and presents the achieved results both in terms of the accuracy of the biomass map produced by k-NN and of the relationship between the potential availability and demand for firewood.These results demonstrated that k-NN is able to estimate the biomass of coppice forest in the test area with an accuracy level comparable with recent similar application of k-NN carried out in Boreal regions (RMSE of 25.6%).The application of different forest management scenarios have a significant impact on local estimated firewood balance between potential supply from coppice forests and demand for domestic consumption, depending of the scenarios the net balance changed up to 84%. © 2010 Elsevier Ltd.