Cereal crops
Effects of rainfall variability on maize yields
Cropland and pastureland
Root crops
Synopsis of 2014 Global hunger index: The challenge of hidden hunger
The 2014 Global Hunger Index (GHI) report—the ninth in an annual series—presents a multidimensional measure of national, regional, and global hunger. It shows that the world has made progress in reducing hunger since 1990, but still has far to go, with levels of hunger remaining “alarming” or “extremely alarming” in 16 countries.
Synopse Welthunger-Index 2014: Herausforderung verborgener Hunger
Der Welthunger-Index (WHI) 2014 stellt die nationale, regionale und weltweite Hungersituation zum neunten Mal in jahrlicher Folge multidimensional dar. Er zeigt, dass bei der globalen Hungerbekampfung seit 1990 Fortschritte erzielt werden konnten, jedoch angesichts sehr ernster oder gar gravierender Hungerwerte in 16 Landern noch immer groser Handlungsbedarf besteht.
2014 Global hunger index by severity
The Global Hunger Index (GHI) is based on three equally weighted indicators: > Undernourishment: the proportion of undernourished people as a percentage of the population (reflecting the share of the population with insufficient caloric intake); > Child underweight: the proportion of children younger than age five who are underweight (that is, have low weight for their age, reflecting was
Synthèse l’Indice de la faim dans le monde 2014: Le défi de la faim invisible
Le rapport de l’Indice de la faim dans le monde 2014 – neuvieme edition – propose une mesure multidimensionnelle de la faim au niveau national, regional et mondial. Le GHI 2014 montre les progres effectues en matiere de reduction de la faim depuis 1990, mais des efforts restent a faire, le niveau de la faim restant alarmant voire extremement alarmant dans 16 pays.
Implications of Spatial Data Variations for Protected Areas Management: An Example from East Africa
Geographic information systems and remote sensing technologies have become an important tool for visualizing conservation management and developing solutions to problems associated with conservation. When multiple organizations separately develop spatial data representations of protected areas, implicit error arises due to variation between data sets.