Drivers Of Land Use Change Scenarios
- Drivers Of Land Use Change Scenarios For Europe
- Drivers Of Land Use Change
- Land Use Change Analysis
- Drivers Of Land Use Land Cover Change
These raster land-use land class data represent yearly simulated future land use for the High Plains from 2009 to 2050 These data were developed using the FOREcasting SCEnarios (FORE-SCE) of future land cover model (Sohl and others, 2007; Sohl and Sayler 2008) for two (A2 and B2) of the four Intergovernmental Panel on Climate Change (IPCC) climate scenarios and then processed using a Geographic Information System (GIS).
Drivers Of Land Use Change Scenarios For Europe
15/10/2018 - Article
How can we best use land to ensure food and nutritional security for all? It will be a hard, long and narrow road, and above all, it means a change in direction. This is demonstrated in a book on the Agrimonde-Terra foresight study, Land Use and Food Security in 2050: a Narrow Road. The book gives details of the four-year study by CIRAD and INRA, backed by a number of experts from all over the world.
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After an initial study on global food security in 2050 (Agrimonde), CIRAD and INRA switched their attention to a new foresight exercise, centring on land use in the light of the challenge posed by ensuring food security in 2050. The new study, entitled Agrimonde-Terra, pinpointed levers likely to modify existing land use patterns with a view to boosting food and nutritional security.
Just one scenario would ensure sustainable food security in 2050
Five scenarios were constructed, using a rigorous method based on an analysis of the direct and external causes of land use changes. Three of them, entitled 'Metropolization', 'Regionalization' and 'Households', are based on current trends identified in most world regions. The other two, entitled 'Healthy' and 'Communities' mean potential breaks that could modify the entire land use and food security system.
The study concluded that the 'Healthy' scenario was the only one that would ensure global food and nutritional security in 2050. The scenario would significantly reduce under-nutrition and tackle the problems of over-nutrition and associated diseases, without any significant expansion in agricultural areas. Agriculture serves to mitigate climate change, create jobs and preserve natural resources.
Changing direction in the coming decades
However, current trends in farming and food systems in most global regions point towards the 'Metropolization' scenario. This scenario is not sustainable in terms of land use and human health. It is a source of major tensions between regions and between countries, and within countries. A chapter is given over to the current trends pointing towards each of the scenarios in sub-Saharan Africa.
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According to the study, the challenge in the coming decades is thus to change direction and head towards sustainable land use and healthy food systems scenarios. This means systemic transformations, strong, coherent public policies in every sector and on every level, and coherent action on the part of all stakeholders.
The Agrimonde-Terra foresight study has provided a vast information base on land use, food systems and food security. It is a toolbox for stimulating debate andimagining new policies and innovations. It is intended to support decision-makers and give stakeholders, nongovernmental organizations and researchers the power to build a constructive dialogue about the future for land use and food security on a global, regional and national level.
Drivers Of Land Use Change
Land Use and Food Security in 2050: a Narrow Road
Agrimonde-Terra
Coordinated by C. Le Mouël, M. De Lattre-Gasquet, O. Mora
Editions Quae, 2018
Land Use Change Analysis
Drivers Of Land Use Land Cover Change
Methodological principles of Agrimonde-Terra The work comprised four stages: 1. An analytical breakdown of the 'land use and food security' system 2. A retrospective analysis and the construction of evolution hypotheses for each direct and external cause 3. Construction of land use and food security scenarios 4. An analysis of the consequences of each scenario for land use and food security (chapters 14 to 16) and the public policy options (chapter 17). Classification and Regression tree, CHi‐squared Automatic Interaction Detector (CHAID), Exhaustive CHi‐squared Automatic Interaction Detector (E‐CHAID), Quick, Unbiased, Efficient Statistical Tree (QUEST), Classification Rule with Unbiased Interaction Selection and Estimation (CRUISE), and Generalized, Unbiased, Interaction Detection and Estimation (GUIDE) have been used to discriminate the diagnosis. One hundred forty‐four patients with hypochromic microcytic anemia aged 18–40 years old from Ayat Hospital of Tehran were recruited. Decision trees for differential diagnosis pdf to jpg converter. |