P
Paolo D'Odorico
Researcher at University of California, Berkeley
Publications - 340
Citations - 20321
Paolo D'Odorico is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Vegetation & Agriculture. The author has an hindex of 71, co-authored 319 publications receiving 16260 citations. Previous affiliations of Paolo D'Odorico include École Polytechnique & École Polytechnique Fédérale de Lausanne.
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Journal ArticleDOI
Global desertification: Drivers and feedbacks
TL;DR: In this article, a review of recent research on the drivers, feedbacks, and impacts of global desertification is presented, motivated by the increasing need to improve global food production and to sustainably manage ecosystems in the context of climate change.
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Global land and water grabbing
TL;DR: It is found that land and water grabbing are occurring at alarming rates in all continents except Antarctica and the per capita volume of grabbed water often exceeds the water requirements for a balanced diet and would be sufficient to improve food security and abate malnourishment in the grabbed countries.
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The Global Food-Energy-Water Nexus
Paolo D'Odorico,Kyle Frankel Davis,Lorenzo Rosa,Joel A. Carr,Davide Danilo Chiarelli,Jampel Dell'Angelo,Jessica A. Gephart,Graham K. MacDonald,David A. Seekell,Samir Suweis,Maria Cristina Rulli +10 more
TL;DR: This review explores multiple components of the food‐energy‐water nexus and highlights possible approaches that could be used to meet food and energy security with the limited renewable water resources of the planet.
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Ecohydrology of water-controlled ecosystems
TL;DR: In this paper, a probabilistic-mechanistic model of soil water balance was used for the characterization of the seasonal regimes of soil moisture with different combinations of climate, soil, and vegetation.
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On the spatial and temporal links between vegetation, climate, and soil moisture
TL;DR: In this paper, a model for the local competition for soil moisture among neighboring vegetation is presented, where the initial condition for the model is a random field where at each point the soil moisture is the mean water content when there are no spatial interactions between sites.