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Stefano Ricci

Bio: Stefano Ricci is an academic researcher from Food and Agriculture Organization. The author has contributed to research in topics: Medicine & Archaeology. The author has an hindex of 2, co-authored 3 publications receiving 358 citations.

Papers
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Journal ArticleDOI
12 May 2017-Science
TL;DR: An estimate of global forest extent in dryland biomes is reported, based on analyzing more than 210,000 0.5-hectare sample plots through a photo-interpretation approach using large databases of satellite imagery at very high spatial resolution and very high temporal resolution, available through the Google Earth platform.
Abstract: Dryland biomes cover two-fifths of Earth’s land surface, but their forest area is poorly known. Here, we report an estimate of global forest extent in dryland biomes, based on analyzing more than 210,000 0.5-hectare sample plots through a photo-interpretation approach using large databases of satellite imagery at (i) very high spatial resolution and (ii) very high temporal resolution, which are available through the Google Earth platform. We show that in 2015, 1327 million hectares of drylands had more than 10% tree-cover, and 1079 million hectares comprised forest. Our estimate is 40 to 47% higher than previous estimates, corresponding to 467 million hectares of forest that have never been reported before. This increases current estimates of global forest cover by at least 9%.

302 citations

Journal ArticleDOI
TL;DR: This study provides a full overview of Collect Earth’s structure and functionality, and presents the methodology used to undertake land monitoring through augmented visual interpretation, and an example of land monitoring in Papua New Guinea is presented.
Abstract: Collect Earth is a free and open source software for land monitoring developed by the Food and Agriculture Organization of the United Nations (FAO). Built on Google desktop and cloud computing technologies, Collect Earth facilitates access to multiple freely available archives of satellite imagery, including archives with very high spatial resolution imagery (Google Earth, Bing Maps) and those with very high temporal resolution imagery (e.g., Google Earth Engine, Google Earth Engine Code Editor). Collectively, these archives offer free access to an unparalleled amount of information on current and past land dynamics for any location in the world. Collect Earth draws upon these archives and the synergies of imagery of multiple resolutions to enable an innovative method for land monitoring that we present here: augmented visual interpretation. In this study, we provide a full overview of Collect Earth’s structure and functionality, and we present the methodology used to undertake land monitoring through augmented visual interpretation. To illustrate the application of the tool and its customization potential, an example of land monitoring in Papua New Guinea (PNG) is presented. The PNG example demonstrates that Collect Earth is a comprehensive and user-friendly tool for land monitoring and that it has the potential to be used to assess land use, land use change, natural disasters, sustainable management of scarce resources and ecosystem functioning. By enabling non-remote sensing experts to assess more than 100 sites per day, we believe that Collect Earth can be used to rapidly and sustainably build capacity for land monitoring and to substantively improve our collective understanding of the world’s land use and land cover.

178 citations

Journal ArticleDOI
Cosimo Posth, He Yu, Ayshin Ghalichi, Hélène Rougier, Isabelle Crevecoeur, Yilei Huang, Harald Ringbauer, Adam Ben Rohrlach, Kathrin Nägele, Vanessa Villalba-Mouco, Rita Radzevičiūtė, Tiago Ferraz, Alexander Stoessel, Rezeda I. Tukhbatova, Dorothée G. Drucker, Martina Lari, Alessandra Modi, Stefania Vai, Tina Saupe, Christiana L. Scheib, Giulio Catalano, Luca Pagani, Sahra Talamo, Helen Fewlass, Laurent Klaric, André Morala, Mathieu Rué, Stéphane Madelaine, Laurent Crépin, Jean-Baptiste Caverne, Emmy Bocaege, Stefano Ricci, Francesco Boschin, Priscilla Bayle, Bruno Maureille, Foni Le Brun-Ricalens, Jean-Guillaume Bordes, Gregorio Oxilia, Eugenio Bortolini, Olivier Bignon-Lau, Grégory Debout, Michel Orliac, Antoine Zazzo, Vitale S. Sparacello, Elisabetta Starnini, Luca Sineo, Johannes van der Plicht, Laure Pecqueur, Gildas Merceron, Géraldine Garcia, Jean-Michel Leuvrey, Coralie Bay Garcia, Asier Gómez-Olivencia, Marta Połtowicz-Bobak, Dariusz Bobak, Mona Le Luyer, Paul Storm, E. Hoffmann, Jacek Kabaciński, Tatiana G. Filimonova, Svetlana Shnaider, Natalia Berezina, Borja González-Rabanal, Manuel R. González Morales, Ana B. Marín-Arroyo, Belen Lopez, Carmen Alonso-Llamazares, Annamaria Ronchitelli, Caroline Polet, Ivan Jadin, Nicolas Cauwe, Joaquim Soler, Neus Coromina, Isaac Rufí, Richard Cottiaux, Geoffrey A. Clark, Lawrence Guy Straus, Marie-Anne Julien, Silvia Renhart, Dorothea Talaa, Stefano Benazzi, Matteo Romandini, L. Amkreutz, Hervé Bocherens, Sébastien Villotte, Javier Fernández-López de Pablo, Magdalena Gómez-Puche, Marco Aurelio Esquembre Bebia, Pierre Bodu, Liesbeth E Smits, Bénédicte Souffi, Rimantas Jankauskas, Justina Kozakaitė, Christophe Cupillard, Hartmut Benthien, Kurt Wehrberger, Ralf Schmitz, Susanne Feine, Tim Schüler, Corinne Thevenet, Dan Grigorescu, Friedrich A. K. Lüth, Andreas Kotula, Henny Piezonka, Franz Schopper, Jiří Svoboda, Sandra Sázelová, Andrey A. Chizhevsky, Aleksandr Khokhlov, Nicholas J. Conard, Frédérique Valentin, Katerina Harvati, Patrick Semal, Bettina Jungklaus, Alexander Suvorov, Rick Schulting, Vyacheslav Moiseyev, Kristiina Mannermaa, Alexandra P. Buzhilova, Thomas Terberger, David Caramelli, Eveline Altena, Wolfgang Haak, Johannes Krause 
TL;DR: In this article , the authors identify a genetic ancestry profile in individuals associated with Upper Palaeolithic Gravettian assemblages from western Europe that is distinct from contemporaneous groups related to this archaeological culture in central and southern Europe.
Abstract: Modern humans have populated Europe for more than 45,000 years1,2. Our knowledge of the genetic relatedness and structure of ancient hunter-gatherers is however limited, owing to the scarceness and poor molecular preservation of human remains from that period3. Here we analyse 356 ancient hunter-gatherer genomes, including new genomic data for 116 individuals from 14 countries in western and central Eurasia, spanning between 35,000 and 5,000 years ago. We identify a genetic ancestry profile in individuals associated with Upper Palaeolithic Gravettian assemblages from western Europe that is distinct from contemporaneous groups related to this archaeological culture in central and southern Europe4, but resembles that of preceding individuals associated with the Aurignacian culture. This ancestry profile survived during the Last Glacial Maximum (25,000 to 19,000 years ago) in human populations from southwestern Europe associated with the Solutrean culture, and with the following Magdalenian culture that re-expanded northeastward after the Last Glacial Maximum. Conversely, we reveal a genetic turnover in southern Europe suggesting a local replacement of human groups around the time of the Last Glacial Maximum, accompanied by a north-to-south dispersal of populations associated with the Epigravettian culture. From at least 14,000 years ago, an ancestry related to this culture spread from the south across the rest of Europe, largely replacing the Magdalenian-associated gene pool. After a period of limited admixture that spanned the beginning of the Mesolithic, we find genetic interactions between western and eastern European hunter-gatherers, who were also characterized by marked differences in phenotypically relevant variants.

7 citations

Journal ArticleDOI
TL;DR: In this paper , the authors compared Palaeolithic hunter-gatherers with Neolithic and Copper Age farmers that populated a same restricted area in Italy, and found that the introduction of agriculture affected host microbiome, supporting the hypothesis of a gradual transition within the investigated populations.
Abstract: Abstract The human microbiome has recently become a valuable source of information about host life and health. To date little is known about how it may have evolved during key phases along our history, such as the Neolithic transition towards agriculture. Here, we shed light on the evolution experienced by the oral microbiome during this transition, comparing Palaeolithic hunter-gatherers with Neolithic and Copper Age farmers that populated a same restricted area in Italy. We integrate the analysis of 76 dental calculus oral microbiomes with the dietary information derived from the identification of embedded plant remains. We detect a stronger deviation from the hunter-gatherer microbiome composition in the last part of the Neolithic, while to a lesser extent in the early phases of the transition. Our findings demonstrate that the introduction of agriculture affected host microbiome, supporting the hypothesis of a gradual transition within the investigated populations.

5 citations


Cited by
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Journal ArticleDOI
05 Jul 2019-Science
TL;DR: There is room for an extra 0.9 billion hectares of canopy cover, which could store 205 gigatonnes of carbon in areas that would naturally support woodlands and forests, which highlights global tree restoration as one of the most effective carbon drawdown solutions to date.
Abstract: The restoration of trees remains among the most effective strategies for climate change mitigation. We mapped the global potential tree coverage to show that 4.4 billion hectares of canopy cover could exist under the current climate. Excluding existing trees and agricultural and urban areas, we found that there is room for an extra 0.9 billion hectares of canopy cover, which could store 205 gigatonnes of carbon in areas that would naturally support woodlands and forests. This highlights global tree restoration as our most effective climate change solution to date. However, climate change will alter this potential tree coverage. We estimate that if we cannot deviate from the current trajectory, the global potential canopy cover may shrink by ~223 million hectares by 2050, with the vast majority of losses occurring in the tropics. Our results highlight the opportunity of climate change mitigation through global tree restoration but also the urgent need for action.

1,052 citations

Journal ArticleDOI
12 May 2017-Science
TL;DR: An estimate of global forest extent in dryland biomes is reported, based on analyzing more than 210,000 0.5-hectare sample plots through a photo-interpretation approach using large databases of satellite imagery at very high spatial resolution and very high temporal resolution, available through the Google Earth platform.
Abstract: Dryland biomes cover two-fifths of Earth’s land surface, but their forest area is poorly known. Here, we report an estimate of global forest extent in dryland biomes, based on analyzing more than 210,000 0.5-hectare sample plots through a photo-interpretation approach using large databases of satellite imagery at (i) very high spatial resolution and (ii) very high temporal resolution, which are available through the Google Earth platform. We show that in 2015, 1327 million hectares of drylands had more than 10% tree-cover, and 1079 million hectares comprised forest. Our estimate is 40 to 47% higher than previous estimates, corresponding to 467 million hectares of forest that have never been reported before. This increases current estimates of global forest cover by at least 9%.

302 citations

Journal ArticleDOI
TL;DR: In this article, the authors synthesize current evidence regarding the influences of 13 common forest management practices on forest soil C stocks, and identify existing gaps in knowledge and suggest research to address the gaps.

277 citations

Journal ArticleDOI
TL;DR: The current status of accuracy assessment that has emerged from nearly 50 years of practice is described and improved methods are required to address new challenges created by advanced technology that has expanded the capacity to map land cover extensively in space and intensively in time.

276 citations

Journal ArticleDOI
TL;DR: In this article, the authors combined historical national forest cover maps (covering the period 1953-2000) with a recent global annual tree cover loss dataset (2001-2014) to look at six decades of deforestation and forest fragmentation in Madagascar.

242 citations