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Yelena Finegold
Researcher at Food and Agriculture Organization
Publications - 9
Citations - 1206
Yelena Finegold is an academic researcher from Food and Agriculture Organization. The author has contributed to research in topics: Climate change & Deforestation. The author has an hindex of 5, co-authored 8 publications receiving 691 citations. Previous affiliations of Yelena Finegold include Clark University.
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Journal ArticleDOI
The global tree restoration potential.
Jean-François Bastin,Yelena Finegold,Claude Garcia,Danilo Mollicone,Marcelo Rezende,Devin Routh,Constantin M. Zohner,Thomas W. Crowther +7 more
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.
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Projecting global forest area towards 2030
TL;DR: This article built a model predicting natural forests and planted forests' evolution in the next 15 years, and compared the results of the modelling with survey results from country expertise, finding that on a global level, forest resources loss is likely to slow down.
Journal ArticleDOI
Response to Comments on “The global tree restoration potential”
Jean-François Bastin,Yelena Finegold,Claude Garcia,Nicholas J. C. Gellie,Andrew J. Lowe,Danilo Mollicone,Marcelo Rezende,Devin Routh,M. Sacandé,Ben Sparrow,Constantin M. Zohner,Thomas W. Crowther +11 more
TL;DR: This study quantified the global tree restoration potential and its associated carbon storage potential under existing climate conditions and disputes the findings, using as reference a yearly estimation of carbon storage that could be reached by 2050.
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Global Deforestation Patterns: Comparing Recent and Past Forest Loss Processes Through a Spatially Explicit Analysis
TL;DR: In this article, the authors explored how deforestation relates to biophysical and socioeconomic variables in a quantitative, spatially explicit analysis and found that the strongest relations were between deforestation and rural population density, cost-distance and crop suitability respectively.
Journal ArticleDOI
Data quality reporting: Good practice for transparent estimates from forest and land cover surveys
Luca Birigazzi,Timothy G. Gregoire,Yelena Finegold,Rocío D. Cóndor Golec,Marieke Sandker,Emily Donegan,Javier G. P. Gamarra +6 more
TL;DR: A review of the main sources of error that can have an impact on the precision and accuracy of the estimation of both emission factors and activity data and a list of the essential survey features that should be reported to properly evaluate the quality of a GHG emission estimate are provided.