Davide Travaglini

Airborne Laser Scanning to support forest resource management under alpine, temperate and Mediterranean environments in Italy

Abstract This paper aims to provide general considerations, in the form of a scientific review, with reference to selected experiences of ALS applications under alpine, temperate and Mediterranean environments in Italy as case studies. In Italy, the use of ALS data have been mainly focused on the stratification of forest stands and the estimation of their timber volume and biomass at local scale. Potential for ALS data exploitation concerns their integration in forest inventories on large territories, their usage for silvicultural systems detection and their use for the estimation of fuel load in forest and pre-forest stands. Multitemporal ALS may even be suitable to support the assessment of current annual volume increment and the harvesting rates.

Modeling the influence of alternative forest management scenarios on wood production and carbon storage: A case study in the Mediterranean region.

Forest ecosystems are fundamental for the terrestrial biosphere as they deliver multiple essential ecosystem services (ES). In environmental management, understanding ES distribution and interactions and assessing the economic value of forest ES represent future challenges. In this study, we developed a spatially explicit method based on a multi-scale approach (MiMoSe-Multiscale Mapping of ecoSystem services) to assess the current and future potential of a given forest area to provide ES. To do this we modified and improved the InVEST model in order to adapt input data and simulations to the context of Mediterranean forest ecosystems. Specifically, we integrated a GIS-based model, scenario model, and economic valuation to investigate two ES (wood production and carbon sequestration) and their trade-offs in a test area located in Molise region (Central Italy). Spatial information and trade-off analyses were used to assess the influence of alternative forest management scenarios on investigated services. Scenario A was designed to describe the current Business as Usual approach. Two alternative scenarios were designed to describe management approaches oriented towards nature protection (scenario B) or wood production (scenario C) and compared to scenario A. Management scenarios were simulated at the scale of forest management units over a 20-year time period. Our results show that forest management influenced ES provision and associated benefits at the regional scale. In the test area, the Total Ecosystem Services Value of the investigated ES increases 85% in scenario B and decreases 82% in scenario C, when compared to scenario A. Our study contributes to the ongoing debate about trade-offs and synergies between carbon sequestration and wood production benefits associated with socio-ecological systems. The MiMoSe approach can be replicated in other contexts with similar characteristics, thus providing a useful basis for the projection of benefits from forest ecosystems over the future.

ForestBIOTA data on deadwood monitoring in Europe

Abstract Deadwood is a key ecological factor in forest ecosystems. Its occurrence is fundamental since it represents a microhabitat for hundreds of species of invertebrates, fungi, bryophytes, lichens, amphibians, small mammals and birds. In recent years, deadwood has been recognized as a relevant indicator for the assessment and monitoring of forest biodiversity. In this paper the methodology for surveying woody necromass proposed by the ForestBIOTA project under Regulation (EC) No 2152/2003 (Forest Focus) is described. The amount of deadwood found on 91 Intensive Monitoring Level II plot of the EU and ICP Forest condition monitoring programme range from 0 to 258 m3 ha−1. In the examined areas, total deadwood volume does not differ significantly among forest types, due to the high intra-type variability. On the other hand, its distribution between coarse and fine necromass and among necromass components is highly dependent on forest types.

Assessing and promoting old-growthness of forest stands: Lessons from research in Italy

Abstract Due to a long-standing history of human impact, it is rare to find in Europe old-growth stands associated to primary forests; the term “old-growthness” is more appropriate to assess old-growth forests in European countries: i.e. the degree to which forest stands, which may or may not have been impacted by humans, express the structural variability commonly found in old-growth forests. The paper focuses on operational methods to assess and promote old-growthness in countries, like Italy, where old-growthness detection is a difficult task because of the scarcity of “relatively old” forest stands. Lessons learnt from research experiences carried out in Italy are reviewed; research findings mostly come from unmanaged tracts of previously managed forest stands that have reached structural and compositional traits typical of the mature stage of forest dynamics. A commentary discussion is provided on the following topics: (i) how to operationally assess old-growthness of forest stands, by coupling remote sensing based approaches and snapshot inventories of structural features; (ii) what forest structural attributes appear to be more strictly related to old-growthness in Mediterranean forests and (iii) how to promote old-growthness in managed forest stands. The paper concludes pointing out open research questions and pragmatic considerations for managing forests for old-growthness.

The Common NFI Database

To test bridging techniques for the harmonized estimation of forest biodiversity indicators for each of the selected essential features a common database was constructed and populated with raw NFI data provided by some of the COST Action E43 participating countries. The database was structured with five tables in a relational database: one table for descriptive plot data, one for tree level data, one for deadwood pieces, one for shrub data and one for ground vegetation. The database was populated with data for 320,023 trees, data for 25,639 pieces of deadwood, 12,588 shrub records and 34,364 ground vegetation records from 14,638 NFI plots provided by 13 European countries and the USA.

Area-based assessment of forest standing volume by field measurements and airborne laser scanner data

Airborne laser scanning (ALS) is increasingly applied as a tool for extracting forest inventory data. In recent years most applications for the assessment of forest standing volume rely on a single tree recognition approach, which generally gives satisfactory results in coniferous forests. The aim of this paper is to apply a raster-based approach for the assessment of forest standing volume based on field measurements and a Digital Canopy Model (DCM) derived from ALS data. In addition, we explore the potential of hot spot analysis of DCM data for automatic forest gap detection, as a means to improve the accuracy of the estimation of forest standing volume by traditional estimation methods.

K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by the k-Nearest Neighbors algorithm

Abstract In the last decades researchers investigated the possibility of extending the information collected in sampling units during a field survey to wider geographical areas through the use of remotely sensed images. One of the most widely adopted approaches is based on the non-parametric k-Nearest Neighbors (k-NN) algorithm. This contribution describes the software K-NN FOREST we developed to provide a complete tool for the implementation of the k-NN technique to generate spatially explicit estimations (maps) of a response variable acquired in the field by sampling units through the use of remotely sensed data or other ancillary variables. K-NN FOREST is designed to guide the user through a graphic user interface in the different phases of the process. K-NN FOREST is freely available for download and it is designed to run under Windows environment in conjunction with the GIS software IDRISI.

Characterization, structure and genetic dating of an old-growth beech-fir forest in the northern Apennines (Italy)

Abstract An old-growth beech forest stand with silver fir within the strict forest reserve of Sasso Fratino has been examined with the following aims: to characterize forest stand on the basis of classic forest parameters and to assess forest stand structure by means of spatial functions; to provide genetic dating of the beech population. Total census of size and position of living trees and deadwood was performed on a 9200 m2 permanent plot. Vertical distribution of crowns in the stand was assessed using the TSTRAT function, horizontal stand structure using spatial point pattern analysis. Genetic dating was performed on a sample of beech trees. DNA was isolated and each individual was genotyped at four chloroplast microsatellite loci. Microsatellite profiles were compared with the profiles of control DNA of known haplotypes. Results show a multi-strata vertical structure, a horizontal structure characterized by small gaps (<160 m2) where silver fir regeneration sets in. Deadwood is present with all the decay classes and with relatively high volumes. Genetic dating ascribes the Sasso Fratino beech stand to the ancestral haplotype 2: this population can therefore be considered a hot spot of haplotype diversity of the glacial refugia present in central Italy.

Classifying silvicultural systems (coppices vs. high forests) in Mediterranean oak forests by Airborne Laser Scanning data

Abstract Forest classification by silvicultural systems (coppices vs. high forests) is important for forest resource assessment as such systems relate to a wide variety of ecosystem services. In this paper the potential of Airborne Laser Scanning (ALS) data for Mediterranean oak forests classification of coppices with standards vs. high forests was investigated in three study areas in Italy. We addressed the following issues: can coppices and high forests be distinguished using a raster Canopy Height Model (CHM)? Which are the most efficient CHM-derived metrics? Does the scale of analysis influence the classification potential of CHM metrics? Our results show that CHM in grid format (1-m2 pixel) provides support information to classify silvicultural systems.

Towards a sampling strategy for the assessment of forest condition at European level: combining country estimates

A correct characterization of the status and trend of forest condition is essential to support reporting processes at national and international level. An international forest condition monitoring has been implemented in Europe since 1987 under the auspices of the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests). The monitoring is based on harmonized methodologies, with individual countries being responsible for its implementation. Due to inconsistencies and problems in sampling design, however, the ICP Forests network is not able to produce reliable quantitative estimates of forest condition at European and sometimes at country level. This paper proposes (1) a set of requirements for status and change assessment and (2) a harmonized sampling strategy able to provide unbiased and consistent estimators of forest condition parameters and of their changes at both country and European level. Under the assumption that a common definition of forest holds among European countries, monitoring objectives, parameters of concern and accuracy indexes are stated. On the basis of fixed-area plot sampling performed independently in each country, an unbiased and consistent estimator of forest defoliation indexes is obtained at both country and European level, together with conservative estimators of their sampling variance and power in the detection of changes. The strategy adopts a probabilistic sampling scheme based on fixed-area plots selected by means of systematic or stratified schemes. Operative guidelines for its application are provided.