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Showing 1 - 5 of 5 matches in All Departments
One of the major challenges facing humankind is to provide an equitable standard of living for this and future generations: adequate food, water and energy, safe shelter and a healthy environment. Human-induced climate change, and increasing climate variability, as well as other global environmental issues such as land degradation and loss of biological diversity, threaten our ability to meet these basic human needs. It is undisputed that the last two decades have been the warmest this century, and likely to be the warmest for the last 1000 years, sea level is rising, rain and snowfall patterns are changing. Arctic sea ice is thinning and the frequency and intensity of El-NiAo events appear to be increasing. In addition, the frequency of extreme events is rising and many parts of the world have recently suffered major heat-waves, floods and droughts leading to significant loss of life and economic costs. This requires the global community to give urgent attention to addressing key issues. The range of adaptation options for agriculture and forestry is generally increasing because of technological advances, thus reducing the vulnerability of these systems to climate change. However, some regions of the world, particularly developing countries, have limited access to these technologies. Agriculture and forestry are currently not optimally managed with respect to todaya (TM)s natural climate variability. Decreasing the vulnerability of agriculture and forestry to increasing climatic variability will go a long way towards reducing the long-term vulnerability to climate change. This book represents a major step in assessing the science of climate variability and change, and their likelyimpacts on agriculture and forestry, with clear adaptation strategies required to reduce their vulnerability.
In many parts of the world, weather and climate are one of the biggest production risks and uncertainty factors impacting on agricultural systems performance and management. Both structural and non-structural measures can be used to reduce the impacts of the variability (including extremes) of climate resources on crop production. While the structural measures include strategies such as irrigation, water harvesting, windbreaks etc., the non-structural measures include use of seasonal to interannual climate forecasts, improved application of medium-range weather forecasts and crop insurance. This book based on an International Workshop held in New Delhi, India should be of interest to all organizations and agencies interested in improved risk management in agriculture.
Based on an International Workshop held in New Delhi, India, this work should be of interest to all organizations and agencies interested in improved risk management in agriculture. In many parts of the world, weather and climate are one of the biggest production risks and uncertainty factors impacting on agricultural systems performance and management. Both structural and non-structural measures can be used to reduce the impacts of the variability (including extremes) of climate resources on crop production.
Agricultural production is highly sensitive to weather and climate-related disasters such as drought, storm and flood. While it is not possible to prevent the occurrence of natural disasters, the resultant disastrous effects can be reduced mitigated through proper planning and effective preparation. This book, based on a gathering of experts in Beijing, discusses ways to reduce the vulnerability of agriculture to disaster and extreme events, both by accurate and timely warning, and by impact-reducing countermeasures.
This book reviews the latest assessments of climate variability and climate change, and their impacts on agriculture and forestry, and recommends appropriate adaptation strategies for reducing the vulnerability of agriculture and forestry to climate variability and climate change. Among other solutions, the text offers management strategies to mitigate greenhouse gas emissions from different agroecosystems, and proposes the use of seasonal climate forecasts to reduce climate risk.
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