Land Library
Welcome to the Land Portal Library. Explore our vast collection of open-access resources (over 74,000) including reports, journal articles, research papers, peer-reviewed publications, legal documents, videos and much more.
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Showing items 1 through 9 of 55.
2020 Vision Focus; Brief
CONTENTS:; Sick and Tired: Climbing Out of the Health-Poverty Trap; Commentary: The Costs of a Pandemic by Clare Narrod; Interview: Dr.
Rural non-farm development plays a key role in generating employment in many developing countries. Clustering is an important industrial organization in the rural non-farm sector.
Risk is a pervasive feature of life in poor rural areas of developing countries. This brief outlines a conceptual framework for understanding the nature of risks faced by poor rural households and their consequences before turning to a more detailed discussion of these risks.
The Knowledge, Capacity, and Innovation Division (formerly ISNAR) works to improve the functioning of food and agriculture systems by facilitating knowledge management—the creation, accumulation, sharing, and utilization of knowledge—and developing the capacity for innovation by all actors along
Droughts and floods are a capricious part of life for many Malawians. The country depends heavily on rain-fed agriculture and so it is crucial that we understand the implications of these climate events.
ASOCAM conducted the XII ASOCAM Latin American Seminar 2009 in the district of Yucay in Cusco, Peru on ‘How to promote adaptation to climate change on water management in rural areas?’ The seminar brought together 40 participants from 8 countries submitted their institutional experiences generate
The present e-collection of scientific works deals with results of research on issues of economy, agrarian and engineering sciences studied by researchers, post-graduate students, magisters and students of Mykolayiv State Agrarian Univ.
Land use/cover change (LUCC) is often the cumulative result of individual farmer's decisions. To understand and simulate LUCC as the result of local decisions, multi-agent systems models (MAS) have become a popular technique.