Large-scale high-resolution yearly modeling of forest growing stock volume and above-ground carbon pool

Vangi, Elia; D’Amico, Giovanni; Francini, Saverio; Borghi, Costanza; Giannetti, Francesca; Corona, Piermaria; Marchetti, Marco; Travaglini, Davide; Pellis, Guido; Vitullo, Marina; Chirici, Gherardo

doi:10.1016/j.envsoft.2022.105580

Cited by 13 publications

(8 citation statements)

References 52 publications

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“…In Italy, not all regions have forest type maps (see D'Amico et al [24]). For this reason, Corine Land Cover Level IV was used since it is the only consistent dataset regarding forests covering the whole Italian territory [24,25,45].…”

Section: Land Covermentioning

confidence: 99%

Forest Sharing® as an Innovative Facility for Sustainable Forest Management of Fragmented Forest Properties: First Results of Its Implementation

Giannetti

Laschi

Zorzi

et al. 2023

Land

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The forestry sector in Italy and throughout Europe is going through a critical period due to ongoing natural and anthropological processes, such as climate change and the abandonment of rural areas. These processes lead to a constant fragmentation of properties in small forest parcels, with direct impacts on management capacity. In this framework, new sustainable forest management methods are being tested and are shown to be good practices to oppose the decline of forest ecosystems. Their innovative aspects concern the introduction of a form of shared and circular economy, where management is built on the process, rather than on the product. Their technical activities are based on precision forestry systems and digitalization. The new approach takes into consideration the fact that the woods are an asset available to the whole community, in terms of benefits and protection. Forest Sharing® is an example of the application of shared forest management systems, due to which the owner user benefits from several services and opportunities, such as the advanced monitoring platform and the access to investment funds. After eighteen months of activity, the first results of the application of the new management systems can already be seen. Many aspects need further development, such as case studies concerning the enhancement due to forest certification and new recreational activities. Shared forest management systems have the potential to increase the level of knowledge and awareness of citizens about environmental and territorial issues.

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Section: Land Covermentioning

confidence: 99%

Forest Sharing® as an Innovative Facility for Sustainable Forest Management of Fragmented Forest Properties: First Results of Its Implementation

Giannetti

Laschi

Zorzi

et al. 2023

Land

Self Cite

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“…Recent efforts have addressed the shortage of ancillary or ground data by integrating National Forest Inventories (NFI) data and high-resolution remote-sensing (RS) data. These initiatives produced comprehensive wall-to-wall maps of various forest variables, such as growing stocks volumes or biomass (Nord-Larsen & Schumacher, 2012; Waser et al, 2017; Chirici et al, 2020; Giannetti et al, 2022; Vangi et al, 2023). These maps represent meaningful data for and carbon cycle assessment (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…These maps represent meaningful data for and carbon cycle assessment (e.g. Vangi et al, 2023). In parallel, process-based forest models (PBFMs) are analytical tools developed and tested over a wide range of applications, because of their capability in simulating forest ecosystem even on long-term dynamics (Vacchiano et al, 2012; Bugmann & Seidl, 2022), carbon fluxes exchange and stocks (Chiesi et al, 2010; Reyer et al, 2014; Reyer, 2015; Dalmonech et al, 2022; Mahnken et al, 2022) under external environmental variability by accounting for population dynamics and inner physiological processes mechanistically (Pretzsch et al, 2008; Vacchiano et al, 2012; Maréchaux et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. multiple Remote-Sensing datasets

Dalmonech

Chiesi

Chirici

et al. 2023

Preprint

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Process-based models (PBMs) offer the possibility to capture important spatial and temporal patterns of both carbon fluxes and stocks in forests, accounting for ecophysiological, climate, and geographical variability. For the first time, the stand scale process-based model 3D-CMCC-FEM is applied in a spatially explicit manner at 1 km spatial resolution in a Mediterranean region in southern Italy. We developed a methodology to initialize the model that comprehends the use of spatial information derived from the integration of the national forest inventory data, remote sensing data, and regional forest maps to characterize structural features of the main forest species. Gross primary production (GPP) fluxes are simulated over the period 2005-2019 and the predictive capability of the model in simulating the carbon fluxes is evaluated by means of independent multiple data sources based on remote sensing products. We show that the model is able to reproduce most of the spatial and seasonal variability and patterns of the observed productivity, even at the species-level. These new very promising results open the possibility of using the 3D-CMCC-FEM to investigate the forests' behavior under climate and environmental variability over large areas in the future, across the highly variable ecological and bio-geographical heterogeneity of the Mediterranean region.

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“…The results show that: (1) The DBH estimation model by TLS and ALS improves the DBH calculation accuracy of ALS with a 2.058 cm reduction in RMSE. (2) The mean of canopy height (Hmean) and Enhanced Vegetation Index (EVI) are identified as the optimal structural and spectral attributes, respectively. (3) The model constructed by Hmean and EVI consistently achieves higher accuracy for most forest growth environments, and the addition of spectral attribute improves volume estimation accuracy with a 10.152% reduction in RMSE compared to the Hmean-based model.…”

mentioning

confidence: 99%

“…Index Terms-Forest volume; Allometric Growth Model; Tree height; Vegetation index; UAV LiDAR I. INTRODUCTION orests are the largest carbon pool in terrestrial ecosystems, and fully exploiting the carbon sequestration potential of forests is crucial to the improvement of human ecological environment and sustainable economic development [1,2]. Forest volume is the basic data source for biomass and carbon sink estimation [3,4].…”

mentioning

confidence: 99%

Forest Volume Estimation Method Based on Allometric Growth Model and Multisource Remote Sensing Data

Wu,

Mao,

Guo

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Large-scale high-resolution yearly modeling of forest growing stock volume and above-ground carbon pool

Cited by 13 publications

References 52 publications

Forest Sharing® as an Innovative Facility for Sustainable Forest Management of Fragmented Forest Properties: First Results of Its Implementation

Forest Sharing® as an Innovative Facility for Sustainable Forest Management of Fragmented Forest Properties: First Results of Its Implementation

Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. multiple Remote-Sensing datasets

Forest Volume Estimation Method Based on Allometric Growth Model and Multisource Remote Sensing Data

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