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Agriculture in the Republic of Moldova has been facing a number of challenges in recent decades, caused by both traditional agricultural practics and effects of climate change. Growing environmental issues, like soil degradation, water pollution, reduced biodiversity, require re-evaluating current agricultural methods.
In recent decades, multi-spectral and hyper-spectral remotely sensed imageries with high and modern spatial resolutions at sufficient time-series interval have been developed. This allows for detecting crop types and its distribution over large areas and at short time intervals.
An attempt was made to assess the land condition while taking into consideration environmental and socio-economical parameters that could be drivers of ongoing land degradation processes. Many of these variables have spatial and temporal characteristics and can therefore be monitored through GIS-based tools thus contributing valuable information for assessing land degradation risk.
This document aims to contribute to the empirical development of effective approaches for the assessment of rangeland governance at local levels, and provide insights about major governance drivers through the quantitative assessment of their effects.
Rangelands are recognized for their importance and value in providing society with valuable products and ecosystem services. In such ecosystems, effective management is needed for sustainable plant growth and survival in a context characterized by rainfall unreliability, poor soil nutrient status and high uncontrolled grazing.
Располагая лишь 7 процентами земель, используемых в сельском хозяйстве, горный Таджикистан расположен в центре региона Центральной Азии, подверженного опустыниванию, засолению,
Project goal is to reduce food insecurity and improve livelihoods of poor people living in African
drylands by restoring degraded land
and returning it to effective and sustainable
tree, crop and livestock production, thereby
increasing land profitability as well as landscape
and livelihood resilience.
The presentation discusses the application of the Bayesian Belief Network (BBN) approach to enhance rangeland governance under constraining land tenure systems in the South of Tunisia.
Presentation on Global Overview of Land Use related Sand and Dust Storm impacts.
This explanatory video illustrates the higher crop yields and increased water efficiency as a result of the raised-bed agriculture component of the project.
