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Digital Asset Management (DAM) by Orange Logic
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More than 60 million animals rely on the Mongolian steppe for pasture ֠the greatest ever recorded om the country. Rasising livestock remains the most important livelihood in Mongolia and is the sole s
More than 60 million animals rely on the Mongolian steppe for pasture ֠the greatest ever recorded om the country. Rasising livestock remains the most important livelihood in Mongolia and is the sole s
Combing for cashmere, one of Mongolia's primary industries, in Dashinchilen soum, Mongolia.
Showing off newborn lambs thanks to the FAO early action intervention in Burd soum, Mongolia. For every USD 1 that was spent on early action activities, the households had a return of USD 7.1 in avoid
Showing off newborn lambs thanks to the FAO early action intervention in Burd soum, Mongolia. For every USD 1 that was spent on early action activities, the households had a return of USD 7.1 in avoid
Showing off newborn lambs thanks to the FAO early action intervention in Burd soum, Mongolia. For every USD 1 that was spent on early action activities, the households had a return of USD 7.1 in avoid
FAO witnessing the first hand benefits of Early Warning Early Action. Burd soum, Mongolia.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
SFER/GLO/005/MUL Early Action window: FAO's Early Warning Early Action uses risk analysis and forecasts to trigger interventions before a crisis escalates into a humanitarian emergency.
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Camels on the wild Mongolian steppe.
The life of a livestock herder defies the challenges bought by Mongolia's climate - summers are very hot and dry and winters bitterly cold. But over the past two decades, climate change has made what's known as a dzud more severe and more frequent.
When the warning signs of an upcoming dzud in 2017/8 were clear, FAO acted quickly. The project's approach was twofold: destocking-for-cash and the distribution of livestock packages. Meat from this was also distributed to vulnerable households living on the edge of Ulaanbaatar. The overall cost of the Early Warning Early Action intervention came to USD 285 for each household involved. In return, each one benefitted by USD 2 008, which gives a 7.1 benefit to cost ratio.
05/05/2018
Country
Mongolia
Credit
© FAO/P. Khangaikhuu
UNFAO Source
FAO Photo Library
File size
467.09 KB
Unique ID
UF13T15
FAO. Editorial use only. Photo credit must be given.
Photo-Library@fao.org