An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)

Parisi, Francesco; Francini, Saverio; Borghi, Costanza; Chirici, Gherardo

doi:10.1016/j.dib.2022.108445

Cited by 8 publications

(8 citation statements)

References 7 publications

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“…On the other hand, based on highly repeatable and freely available RS data, they can be used at different spatial and temporal scales supporting the fieldwork limitations (Turner et al, 2003;Cerrejón et al, 2020). In the context of conservation priorities, the S2-derived harmonic metrics provided detailed and free information that might comprehensively complement ground data (Parisi et al, 2022b). While 10 m resolution may limit the capability to monitor small-scale relevant components of forest biodiversity, high-resolution images present some limitations.…”

Section: Remote Sensing Metricsmentioning

confidence: 99%

Sentinel-2 time series analysis for monitoring multi-taxon biodiversity in mountain beech forests

Parisi

Vangi

Francini

et al. 2023

Front. For. Glob. Change

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Biodiversity monitoring represents a major challenge to supporting proper forest ecosystem management and biodiversity conservation. The latter is indeed shifting in recent years from single-species to multi-taxon approaches. However, multi-taxonomic studies are quite rare due to the effort required for performing field surveys. In this context, remote sensing is a powerful tool, continuously providing consistent and open access data at a different range of spatial and temporal scales. In particular, the Sentinel-2 (S2) mission has great potential to produce reliable proxies for biological diversity. In beech forests of two Italian National Parks, we sampled the beetle fauna, breeding birds, and epiphytic lichens. First, we calculated Shannon’s entropy and Simpson’s diversity. Then, to produce variables for biodiversity assessment, we exploited S2 data acquired in the 4 years 2017–2021. S2 images were used to construct spectral bands and photosynthetic indices time series, from which 91 harmonic metrics were derived. For each taxon and multi-taxon community, we assessed the correlation with S2 harmonic metrics, biodiversity indices, and forest structural variables. Then, to assess the potential of the harmonic metrics in predicting species diversity in terms of Shannon’s and Simpson’s biodiversity indices, we also fit a random forests model between each diversity index and the best 10 harmonic metrics (in terms of absolute correlation, that is, the magnitude of the correlation) for each taxon. The models’ performance was evaluated via the relative root mean squared error (RMSE%). Overall, 241 beetle, 27 bird, and 59 lichen species were recorded. The diversity indices were higher for the multi-taxon community than for the single taxa. They were generally higher in the CVDA site than in GSML, except for the bird community. The highest correlation values between S2 data and biodiversity indices were recorded in CVDA for multi-taxon and beetle communities (| r| = 0.52 and 0.38, respectively), and in GSML for lichen and beetle communities (| r| = 0.34 and 0.26, respectively). RMSE% ranged between 2.53 and 9.99, and between 8.1 and 16.8 for the Simpson and Shannon index, respectively. The most important variables are phase and RMSE of red-Edge bands for bird and lichen communities, while RMSE and time of tassel cap and from EVI indices for beetles and multi-taxon diversity. Our results demonstrate that S2 data can be used for identifying potential biodiversity hotspots, showing that the herein presented harmonic metrics are informative for several taxa inhabiting wood, giving concrete support to cost-effective biodiversity monitoring and nature-based forest management in complex mountain systems.

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Section: Remote Sensing Metricsmentioning

confidence: 99%

Sentinel-2 time series analysis for monitoring multi-taxon biodiversity in mountain beech forests

Parisi

Vangi

Francini

et al. 2023

Front. For. Glob. Change

Self Cite

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“… This dataset represents a monitoring baseline for the main forest habitat type in the Basilicata Region. If integrated with other dataset, for example the one provided by Parisi et al [2] , where data for Basilicata Region are missing, the dataset can contribute to: 1) better understand the variability of the forest structural attributes in Central and Southern Italy and 2) produce the Favourable Reference Value for a list of indicators of forest ecosystems, based on real data, following the European Commission guidelines [3 , 4] . The release of this dataset promotes the collaboration among researchers, monitoring and management Institutions (Administrative Regions, Regional Agencies for the Protection of the Environment).…”

Section: Value Of the Datamentioning

confidence: 99%

“…If integrated with other dataset, for example the one provided by Parisi et al [2] , where data for Basilicata Region are missing, the dataset can contribute to: 1) better understand the variability of the forest structural attributes in Central and Southern Italy and 2) produce the Favourable Reference Value for a list of indicators of forest ecosystems, based on real data, following the European Commission guidelines [3 , 4] .…”

Section: Value Of the Datamentioning

confidence: 99%

Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)

Carli

Casella

Miraglia³

et al. 2023

Data in Brief

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“…In line with the picture of light and shade depicted up to now, from a silvicultural point of view, the cultivation types pertaining to coppice (in all its cultural distinctions) and high forest each occupy just over 40% of the total area [158]. The remaining area is made up mostly of stands not subjected to any form of management, at most affected by sporadic interventions and therefore not attributable to canonical forms of forest management, mainly by areas abandoned by silvicultural practices due to geographical limitations (impervious land, rocky slopes or other topographical limitations) as well as areas interested in the (spontaneous) recolonization of abandoned crops [159][160][161].…”

Section: Forest Resources: Recent Dynamics In Italymentioning

confidence: 99%

In-between Environmental Sustainability and Economic Viability: An Analysis of the State, Regulations, and Future of Italian Forestry Sector

Lanfredi

Coluzzi

Imbrenda

et al. 2023

Land

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Forest management is a complex topic at the interface between sustainability and the resilience of socioeconomic and environmental systems. The influence of market forces, supranational, country and regional policies, as well as climate change, on forest goods and services, is expected to increase in the near future. Such a complex interplay between economic and environmental forces is common to most European countries. The aim of this study is to operationally delineate and discuss the transition of the environmental sustainability and economic viability of forestry in Italy. This country encompasses the typical Mediterranean ecosystems with broad forest coverage in mountainous and hilly areas, where expanding woodland areas have been observed in the last decades mainly as a consequence of the decline of agropastoral activities, especially in disadvantaged and marginal areas. The consequent increase in wood biomass was frequently conceived as an element of environmental criticality, exposing woods to high vulnerability to wildfires and a consequent reduction in their economic value, possibly exacerbated by local warming. These dynamics usually took place in contexts where only a part of the overall forest heritage was subjected to regular management, despite the efforts made through various policies such as the Constitutional Law 3/2001 and the recent Law on Forests and Forestry Supply Chains. The latter policy tool, enhancing the concept of “active forest management” aimed to establish a sustainable approach to forest resources, leading to a broader forest area for formal planning and controlled harvesting. These dynamics took place in parallel with the inherent expansion in forest certification schemes formally promoting long-term environmental sustainability and a wider spectrum of forest ecosystems. Timber and non-wood materials and products are key elements from the perspective of achieving sustainable (climate-neutral) development in advanced economies.

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An open and georeferenced dataset of forest structural attributes and microhabitats in central and southern Apennines (Italy)

Cited by 8 publications

References 7 publications

Sentinel-2 time series analysis for monitoring multi-taxon biodiversity in mountain beech forests

Sentinel-2 time series analysis for monitoring multi-taxon biodiversity in mountain beech forests

Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)

In-between Environmental Sustainability and Economic Viability: An Analysis of the State, Regulations, and Future of Italian Forestry Sector

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