Estimating forest surfaces in Italy: the uncertainties of the new national forest inventory (original) (raw)
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Forest@ - Rivista di Selvicoltura ed Ecologia Forestale, 2005
Estimating forest surfaces in Italy: the uncertainties of the new national forest inventory. Following the entry of the Kyoto Protocol (KP) into force, a new functionality has been added to the National Forestry Inventories (NFI), which are used to account for carbon stock changes in forest carbon pools. All Countries have to select a national forest definition in accordance with the KP rules. The KP requests that minimum thresholds for area, crown coverage and tree height are set. Thus the adopted forest definition drives the accounting of any forest-related land use and land-use change activities. The new NFIs should characterize the forest variables in accordance with the new forest definitions and thus they should adopt methodologies which are able to represent forest area as defined. The Italian NFI has applied a new methodology which is not in line with its own forest definition since this method considers new criteria of homogeneity in order to classify forest area. The homogeneity criteria requires a subjective analysis of the area around each sample point; thus the sample area assignment is not carried out objectively and univocally and consequently measurements are not reproducible either in time or space. The authors suggest an improved methodology that would allow the sampling of the national territory in line with the NFI forest definition. The main characteristic of the proposed methodology is to assign and to analyze a circular area around each sample point. The size of the circular area is taken equal to the NFI forest definition minimum threshold. The application of this methodology would result in objective and univocal measurements which are reproducible either in time or space.
Changes of forest coverage and land uses as assessed by the inventory of land uses in Italy
Changes of forest coverage and land uses as assessed by the inventory of land uses in Italy. The paper presents the IUTI program, a land use inventory of Italy, based on point sampling. It has been carried out to support the National Carbon Sink Accounting Register and it was realized within the framework of the Italian National Remote Sensing Plan managed by the Italian Ministry of Environment. IUTI has monitored the land use and land use change and forestry in the last two decades over the country at the years 1990, 2000, 2008, adopting a tessellated stratified sampling scheme with about 1.2 million sample points on aerial orthophotos. Following definitions, methods and inventory procedures, the main results are discussed. They show the heavy changes affecting surface and distribution of the various classes for arable lands, forests and urban areas.
Forest damage inventory after the "Vaia" storm in Italy
Forest@ - Rivista di Selvicoltura ed Ecologia Forestale, 2019
(12) , D Morresi (12) , M Garbarino (12) , G Alberti (13) , F Valdevit (13) , E Tomelleri (14) , M Torresani (14) , G Tonon (14) , M Marchi (15) , P Corona (15) , M Marchetti (16) Forest damage inventory after the "Vaia" storm in Italy On October 29, 2019, the Vaia storm hits the NorthEastern regions of Italy by wind gusts exceeding 200 km h-1. The forests in these regions have been seriously damaged. This contribution illustrates the methodology adopted in the emergency phase to estimate forest damages caused by Vaia storm, both in terms of damaged forest areas and growing stock volume of fallen trees. 494 Municipalities registered forest damages caused by Vaia, destroyed or intensely damaged forest stands amounted to about 42
Italian Journal of Forest and Mountain Environments, 2018
The availability of information about the quantity and quality of forest resources is a crucial point in forest management and policy planning. The ownership of statistical investigations on forests have belonged for a long time to ISTAT, which is part of the National Statistical System. In time, other surveyors have been added to the system and, as a consequence, some investigations have been suspended or merged. The investigation concerning the logged area and the quantity of wood was one of the most important forestry statistics. It was made on a regional basis but, being based on administrative data, its accuracy has decreased because of different problems such as the undervaluation of logging and the decline of the response rate. This work is a contribution to this aspect and a further clarification of the role of forestry statistics in the next National Statistical Programme 2017-2019.
Deadwood in Italian forests according to National Forest Inventory results
Forest@ - Rivista di Selvicoltura ed Ecologia Forestale, 2009
Deadwood in Italian forests according to National Forest Inventory results. Deadwood plays a key role in the functioning and productivity of forest ecosystem and it is an important feature for assessing and monito ring biodiversity. The third Ministerial Conference on the Protection of Forests in Europe (MCPFE) has reco gnized the importance of this forest component at the European level. More recently the national forest in ventories have tried to harmonize the procedures including the quantitative and qualitative measurements of deadwood. This paper reports on the methods and results of Italian National Inventory of Forests and Fo rest Carbon Sinks (INFC) and compares the deadwood data with the results of other main European invento ries and some local studies. In Italy the volume of deadwood (logs, snags and stumps) is on average 8.8 m 3 ha-1 .
Forests in Italy according to the most updated information sources
FDC 903 : 905 : (450) Negli ultimi anni, il contesto internazionale, nazionale e locale è divenuto sempre più impegnativo per quanto riguarda gli indirizzi di politica forestale e ambientale e, conseguentemente, sempre più stringenti le connesse richieste di dati. Nella prospettiva di un quadro di sintesi a livello nazionale, la presente nota mira a fornire una panoramica sulle principali fonti informative relative ad alcuni aspetti salienti dei sistemi forestali. Lo scopo non è un'analisi critica delle fonti, quanto piuttosto una rassegna di dati in forma di breve compendio commentato. Particolare attenzione viene riservata al commento delle statistiche di superficie forestale fornite da ISTAT.
Forest@ - Rivista di Selvicoltura ed Ecologia Forestale, 2012
Changes of forest coverage and land uses as assessed by the inventory of land uses in Italy. The paper presents the IUTI program, a land use inventory of Italy, based on point sampling. It has been carried out to support the National Carbon Sink Accounting Register and it was realized within the framework of the Italian National Remote Sensing Plan managed by the Italian Ministry of Environment. IUTI has monitored the land use and land use change and forestry in the last two decades over the country at the years 1990, 2000, 2008, adopting a tessellated stratified sampling scheme with about 1.2 million sample points on aerial orthophotos. Following definitions, methods and inventory procedures, the main results are discussed. They show the heavy changes affecting surface and distribution of the various classes for arable lands, forests and urban areas.
Forest@-Journal of …, 2006
Simplified methods for spatial sampling: application to first-phase data of Italian National Forest Inventory (INFC) in Sicily. Methodological approaches able to integrate data from sample plots with cartographic processes are widely applied. Based on mathematic-statistical techniques, the spatial analysis allows the exploration and spatialization of geographic data. Starting from the punctual information on land use types obtained from the dataset of the first phase of the ongoing new Italian NFI (INFC), a spatialization of land cover classes was carried out using the Inverse Distance Weighting (IDW) method. In order to validate the obtained results, an overlay with other vectorial land use data was carried out. In particular, the overlay compared data at different scales, evaluating differences in terms of degree of correspondence between the interpolated and reference land cover.