CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

CIFOR–ICRAF addresses local challenges and opportunities while providing solutions to global problems for forests, landscapes, people and the planet.

We deliver actionable evidence and solutions to transform how land is used and how food is produced: conserving and restoring ecosystems, responding to the global climate, malnutrition, biodiversity and desertification crises. In short, improving people’s lives.

Satellite-Based GIS Evaluation of Land to Scale Agroforestry Restoration Planning in Afghanistan

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Agroforestry has gained attention because of its diverse roles ranging from direct economic to sustainable environment. The present study is an attempt to understand the land potentiality of Afghanistan to scale agroforestry restoration planning in the country. The potential agroforestry suitable areas were achieved through the Geographical Information System modeling approach. The study found that 13.2% of the geographical area of the country was under agriculture. Approximately, one-fourth of the total geographical area of the country is useful in various diversified agroforestry formats because of the sound agroforestry suitability percent. The total agriculture landscape (1% to 50%) grid was identified as equivalent to 32 million hectares (49% of total geographical area). About 53% of these lands were found medium to very high suitable for agroforestry purposes and the remaining 47% of the agriculture landscape showed low agroforestry suitable percent. The full-scale implementation of an agroforestry restoration blueprint needs adequate funds and appropriate planning at the country level that will serve many of the SDG goals for socioeconomic-stressed Afghan people which will provide them food and nutrient security, livelihood, and eliminate poverty, enhance biodiversity, and mitigate the impact of climate change.

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    Ahmad, F.; Talukdar, N.R.; Goparaju, L.; Rizvi, J.




    agroforestry, ecological restoration, remote sensing, land use planning, satellite imagery, land rehabilitation



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