G
Giuseppina Cinardi
Researcher at Food and Agriculture Organization
Publications - 7
Citations - 1148
Giuseppina Cinardi is an academic researcher from Food and Agriculture Organization. The author has contributed to research in topics: Livestock & Medicine. The author has an hindex of 4, co-authored 4 publications receiving 862 citations.
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Journal ArticleDOI
Mapping the global distribution of livestock.
Timothy P. Robinson,Timothy P. Robinson,G. R. William Wint,Giulia Conchedda,Thomas P. Van Boeckel,Valentina Ercoli,Elisa Palamara,Giuseppina Cinardi,Laura D'Aietti,Simon I. Hay,Simon I. Hay,Marius Gilbert +11 more
TL;DR: New global distribution maps at 1 km resolution for cattle, pigs and chickens, and a partial distribution map for ducks are presented and made publically available via the Livestock Geo-Wiki.
Journal ArticleDOI
Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010.
Marius Gilbert,Gaelle Nicolas,Giuseppina Cinardi,Thomas P. Van Boeckel,Sophie O. Vanwambeke,William Wint,Timothy P. Robinson +6 more
TL;DR: A new version of the Gridded Livestock of the World (GLW 3) database is presented, reflecting the most recently compiled and harmonized subnational livestock distribution data for 2010.
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Income Disparities and the Global Distribution of Intensively Farmed Chicken and Pigs.
Marius Gilbert,Giulia Conchedda,Thomas P. Van Boeckel,Giuseppina Cinardi,Catherine Linard,Gaelle Nicolas,Weerapong Thanapongtharm,Laura D'Aietti,William Wint,Scott H. Newman,Timothy P. Robinson +10 more
TL;DR: A novel relationship that links the national proportion of extensively raised animals to the gross domestic product (GDP) per capita (in purchasing power parity) is introduced.
Journal ArticleDOI
Using Random Forest to Improve the Downscaling of Global Livestock Census Data.
Gaelle Nicolas,Timothy P. Robinson,William Wint,Giulia Conchedda,Giuseppina Cinardi,Marius Gilbert +5 more
TL;DR: Random Forest models consistently provided better predictions than the stratified regressions for both continents and species, and the benefit of per capita over absolute density models varied according to the species and continent.
Journal ArticleDOI
A shift from cattle to camel and goat farming can sustain milk production with lower inputs and emissions in north sub-Saharan Africa’s drylands
Jaber Rahimi,E. Fillol,John Mutua,Giuseppina Cinardi,Timothy P. Robinson,An Mo Notenbaert,Polly J. Ericksen,Michael Graham,Klaus Butterbach-Bahl +8 more
TL;DR: In this paper , the authors show that environmental conditions worsened for ∼17% of the study area, while increasing goat and camel populations by ∼14% and ∼10% respectively, while reducing the dairy cattle population by ∼24% (∼5.9 million), could result in higher milk production, lower water (−1,683.6 million m 3 , −15.3 Mt, −11.2%) demand, and lower dairy emissions by ∼1,224.6 MtCO 2 e (−7.9%).