Valerio Avitabile
A5020286843- Remote Sensing and LiDAR Applications
- Forest Management and Policy
- Forest ecology and management
- Conservation, Biodiversity, and Resource Management
- Remote Sensing in Agriculture
- Forest Biomass Utilization and Management
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Forest Ecology and Biodiversity Studies
- Biofuel production and bioconversion
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
- Plant and animal studies
- Bioeconomy and Sustainability Development
- Bioenergy crop production and management
- Environmental Impact and Sustainability
- Tree Root and Stability Studies
- Advanced Clustering Algorithms Research
- Coastal and Marine Management
- Climate variability and models
- Soil Carbon and Nitrogen Dynamics
- Data Visualization and Analytics
- Environmental Conservation and Management
European Commission
2024-2025
Joint Research Centre
2017-2024
Université du Québec à Montréal
2023
Natural Sciences and Engineering Research Council
2023
Wageningen University & Research
2011-2019
Friedrich Schiller University Jena
2011
University College Dublin
2005-2006
We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings the National Academy Sciences United States America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset field observations and locally calibrated high-resolution maps, harmonized upscaled to 14 477 estimates. Our data fusion approach uses bias removal weighted linear averaging that incorporates spatializes patterns...
Summary Allometric equations are currently used to estimate above‐ground biomass (AGB) based on the indirect relationship with tree parameters. Terrestrial laser scanning (TLS) can measure canopy structure in 3D high detail. In this study, we develop an approach AGB from TLS data, which does not need any prior information about allometry. We compare these estimates against destructively harvested and derived allometric equations. also evaluate parameters, diameter at breast height (DBH)...
Abstract. The terrestrial forest carbon pool is poorly quantified, in particular regions with low inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset above-ground live biomass (AGB; dry mass) stored forests spatial resolution 1 ha. Using an extensive database 110 897 AGB measurements from field plots, show that patterns and magnitude are well captured our map...
Abstract Tropical forest biomass is a crucial component of global carbon emission estimations. However, calibration and validation such estimates require accurate effective methods to estimate in situ above‐ground (AGB). Present rely on allometric models that are highly uncertain for large tropical trees. Terrestrial laser scanning (TLS) tree modelling has demonstrated be more than these infer AGB. Nevertheless, applying TLS trees still challenging. We propose method AGB by three‐dimensional...
While Southeast Asia's forests play important roles in biodiversity conservation and global carbon (C) balance, the region is also a deforestation hotspot. Here, we consider five shared socioeconomic pathways (SSPs) to portray range of plausible futures for region's forests, employing state-of-the-art land change modelling procedure remotely sensed data. We find that by 2050 under worst-case scenario, SSP 3 (regional rivalry/a rocky road), would shrink 5.2 million ha. The aboveground forest...
Abstract Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system 1 . Remote-sensing estimates to quantify losses from global forests 2–5 characterized by considerable uncertainty we lack comprehensive ground-sourced evaluation benchmark these estimates. Here combine several 6 satellite-derived approaches 2,7,8 evaluate forest potential outside agricultural urban lands. Despite regional variation,...
Significance Tree diversity is fundamental for forest ecosystem stability and services. However, because of limited available data, estimates tree at large geographic domains still rely heavily on published lists species descriptions that are geographically uneven in coverage. These limitations have precluded efforts to generate a global perspective. Here, based ground-sourced database, we estimate the number biome, continental, scales. We estimated richness (≈73,300) ≈14% higher than...
Over the past decade, several global maps of above-ground biomass (AGB) have been produced, but they exhibit significant differences that reduce their value for climate and carbon cycle modelling, also national estimates forest stocks changes. The number such is anticipated to increase because new satellite missions dedicated measuring AGB. Objective consistent methods estimate accuracy uncertainty AGB are therefore urgently needed. This paper develops demonstrates a framework aimed at...
Determining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting spread invasive species1,2. Tree in particular have been relatively overlooked, even though they potential to transform economies3,4. Here, leveraging global tree databases5-7, we explore how phylogenetic functional diversity communities, human pressure environment influence establishment species subsequent invasion severity. We find that anthropogenic factors are key predicting...
Abstract Tropical forest degradation from selective logging, fire and edge effects is a major driver of carbon biodiversity loss 1–3 , with annual rates comparable to those deforestation 4 . However, its actual extent long-term impacts remain uncertain at global tropical scale 5 Here we quantify the magnitude persistence multiple types on structure by combining satellite remote sensing data pantropical moist cover changes estimates canopy height biomass spaceborne 6 light detection ranging...
Measuring forest degradation and related carbon stock changes is more challenging than measuring deforestation since implies in the structure of does not entail a change land use, making it less easily detectable through remote sensing. Although we anticipate use IPCC guidance under United Framework Convention on Climate Change (UNFCCC), there no one single method for monitoring case REDD+ policy. In this review paper highlight that choice depends upon number factors including type...
The achievement of international goals and national commitments related to forest conservation management, climate change, sustainable development requires credible, accurate, reliable monitoring stocks changes in biomass carbon. Most prominently, the Paris Agreement on Climate Change United Nations’ Sustainable Development Goals particular require data monitor progress. Unprecedented opportunities provide are created by a series upcoming space-based missions, many which open targeted at...
Abstract. The use of dynamic global vegetation models (DGVMs) to estimate CO2 emissions from land-use and land-cover change (LULCC) offers a new window account for spatial temporal details ecosystem processes affected by LULCC. One drawback LULCC DGVMs, however, is lack observation constraint. Here, we propose method using satellite- inventory-based biomass observations constrain historical cumulative (ELUCc) an ensemble nine DGVMs based on emerging relationships between simulated ELUCc....
The amount and spatial distribution of forest aboveground biomass (AGB) were estimated using a range regionally developed methods Earth Observation data for Poland, Sweden regions in Indonesia (Kalimantan), Mexico (Central Yucatan peninsula), South Africa (Eastern provinces) the year 2010. These are representative numerous biomes levels globally, from African woodlands savannas to humid tropical Kalimantan. AGB retrieval each region relied on different sources reference data, including...
Abstract Forest ecosystems play an indispensable role in addressing various pressing sustainability and social-ecological challenges such as climate change biodiversity loss. However, global forest loss has been, still is today, important issue. Here, based on spatially explicit data, we show that over the past 60 years (1960–2019), area declined by 81.7 million ha (i.e. 10% more than size of entire Borneo island), with (437.3 ha) outweighing gain (355.6 ha). With this decline population...
Assessing biomass is gaining increasing interest mainly for bioenergy, climate change research and mitigation activities, such as reducing emissions from deforestation forest degradation the role of conservation, sustainable management forests enhancement carbon stocks in developing countries (REDD+). In response to these needs, a number biomass/carbon maps have been recently produced using different approaches but lack comparable reference data limits their proper validation. The objectives...
Abstract. Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative environmental change. A full characterization C cycling requires detailed information on spatiotemporal patterns surface–atmosphere fluxes. However, relevant observations are highly variable in their coverage reporting standards. Especially problematic lack integration dioxide (CO2) exchange ocean, inland freshwaters land surface with atmosphere. Here we adopt a...