IMAGEIntegrated Model to Assess the Global Environment.

Difference between revisions of "Land degradation"

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{{ComponentTemplate2
 
{{ComponentTemplate2
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|Application=Roads from Rio+20 (2012) project;
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|IMAGEComponent=Atmospheric composition and climate; Land cover and land use;
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|Model-Database=GlobCover database; WorldClim database; HWSD database; S-World database; WISE database
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|KeyReference=Hootsmans et al., 2001; Stoorvogel et al., in preparation; Stoorvogel, 2014; Van Beek, 2012;
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|Reference=FAO, 2011a; Wischmeier and Smith, 1978; Nkonya et al., 2011; Bindraban et al., 2012; UNCCD, 2012; Rozanov et al., 1990; 
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|InputVar=Precipitation - grid; Number of wet days - grid; Land cover, land use - grid; Temperature - grid;
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|Parameter=Slope - grid;  Land management; Initial land cover, land use; Initial temperature, precipitation; Soil types and profiles (S-World); Weighting factors for temperature, precipitation, land use and slope;
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|OutputVar=Erosion risk - grid; Change in soil properties - grid;
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|Description=Land degradation is human-induced damage to ecosystems leading to a sustained loss of capacity. This is a serious and widespread problem leading ultimately to loss of arable land, and to demand for new arable land to compensate for decline in production on existing land. A key symptom of land degradation is loss of organic carbon from soils and vegetation, also contributing to global greenhouse gas emissions. The key mechanisms in land degradation are soil erosion (by water and wind), compaction, salinization, nutrient depletion, structural decay and contamination. The main causes are deforestation, land conversion, inadequate agricultural land use and management, and construction (urbanisation, road construction).
  
|ComponentCode=LS
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In 2012, the UN Convention to Combat Desertification ({{abbrTemplate|UNCCD}}) formulated the goal to achieve zero net land degradation as a Sustainable Development Goal for [[Roads from Rio+20 (2012) project|Rio+20]] ''‘to secure the contribution of our planet’s land and soil to sustainable development, including food security and poverty eradication’'' ([[UNCCD, 2012]]). Land degradation is also relevant to the other Rio Conventions, with one of the Aichi targets of the Convention on Biological Diversity ({{abbrTemplate|CBD}}) aiming to restore at least 15% of degraded ecosystems.
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While recognized as a global threat, the impacts of land degradation are poorly understood, and studies report differing results. For instance, productive soil loss equals 15 million km<sup>2</sup> according to [[Rozanov et al., 1990]], while FAO reports about 43 million km<sup>2</sup> moderately to severely degraded land because of soil quality loss, water resource depletion and biodiversity loss ([[FAO, 2011a]]). As a result, the impacts on productivity and economic losses with consequences for food security are also very uncertain. In the same way, the costs and benefits of investments to prevent land degradation and to restore degraded areas are also largely unknown ([[Nkonya et al., 2011]]). Many reasons for these discrepancies and knowledge gaps are identified ([[Bindraban et al., 2012]]), including uncertainty about data, ambiguous definitions of land degradation, and methodology weaknesses in attributing changes in ecosystems to land degradation or to other causes.
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Although a comprehensive model to capture the complex system interactions is not readily available, IMAGE 3.0 offers the following approaches to address soil degradation:
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A. Water Erosion Risk: Risk assessment of soil erosion caused by water based on the Universal Soil Loss Equation ({{abbrTemplate|USLE}}; Wischmeier and Smith[[Wischmeier and Smith, 1978|(1978)]]).
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B. Change in soil properties: Quantitative assessment of changes in soil properties, from a hypothetically undisturbed (pristine) situation to a new situation, accounting for changes in land cover and other changes caused by human activity. The effect of changes in soil properties on crop production, hydrology and water can be assessed in other components of IMAGE.
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|ComponentCode=LD
 
|AggregatedComponent=Impacts
 
|AggregatedComponent=Impacts
|InputVar=Precipitation; Wet days; Land cover;
 
|Parameter=Slope; Soil parameters; Land management;
 
|OutputVar=Water erosion sensitivity index; Erosion risk; Soil properties;
 
 
|FrameworkElementType=impact component
 
|FrameworkElementType=impact component
|Description=Model intro
 
 
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Latest revision as of 08:40, 1 July 2014

Two approaches to assess land degradation in IMAGE 3.0
Flowchart Land degradation. See also the Input/Output Table on the introduction page.

Key policy issues

  • In what parts of the world have human-induced changes in land and soil conditions occurred?
  • What are the future risks of soil degradation?
  • To what extent are ecosystem functions lost by soil degradation, adding to local and global concerns about food security, biodiversity loss and climate change?

Introduction

Land degradation is human-induced damage to ecosystems leading to a sustained loss of capacity. This is a serious and widespread problem leading ultimately to loss of arable land, and to demand for new arable land to compensate for decline in production on existing land. A key symptom of land degradation is loss of organic carbon from soils and vegetation, also contributing to global greenhouse gas emissions. The key mechanisms in land degradation are soil erosion (by water and wind), compaction, salinization, nutrient depletion, structural decay and contamination. The main causes are deforestation, land conversion, inadequate agricultural land use and management, and construction (urbanisation, road construction).

In 2012, the UN Convention to Combat Desertification (UNCCD) formulated the goal to achieve zero net land degradation as a Sustainable Development Goal for Rio+20 ‘to secure the contribution of our planet’s land and soil to sustainable development, including food security and poverty eradication’ (UNCCD, 2012). Land degradation is also relevant to the other Rio Conventions, with one of the Aichi targets of the Convention on Biological Diversity (CBD) aiming to restore at least 15% of degraded ecosystems.

While recognized as a global threat, the impacts of land degradation are poorly understood, and studies report differing results. For instance, productive soil loss equals 15 million km2 according to Rozanov et al., 1990, while FAO reports about 43 million km2 moderately to severely degraded land because of soil quality loss, water resource depletion and biodiversity loss (FAO, 2011a). As a result, the impacts on productivity and economic losses with consequences for food security are also very uncertain. In the same way, the costs and benefits of investments to prevent land degradation and to restore degraded areas are also largely unknown (Nkonya et al., 2011). Many reasons for these discrepancies and knowledge gaps are identified (Bindraban et al., 2012), including uncertainty about data, ambiguous definitions of land degradation, and methodology weaknesses in attributing changes in ecosystems to land degradation or to other causes.

Although a comprehensive model to capture the complex system interactions is not readily available, IMAGE 3.0 offers the following approaches to address soil degradation:

A. Water Erosion Risk: Risk assessment of soil erosion caused by water based on the Universal Soil Loss Equation (USLE; Wischmeier and Smith(1978)).

B. Change in soil properties: Quantitative assessment of changes in soil properties, from a hypothetically undisturbed (pristine) situation to a new situation, accounting for changes in land cover and other changes caused by human activity. The effect of changes in soil properties on crop production, hydrology and water can be assessed in other components of IMAGE.

Input/Output Table

Input Land degradation component

IMAGE model drivers and variablesDescriptionSource
Number of wet days - grid (historical data) Number of days with a rain event, per month; assumed constant after the historical period CRU database
Land cover, land use - grid Multi-dimensional map describing all aspects of land cover and land use per grid cell, such as type of natural vegetation, crop and grass fraction, crop management, fertiliser and manure input, livestock density. Land cover and land use
Precipitation - grid Monthly total precipitation. Atmospheric composition and climate
Temperature - grid Monthly average temperature. Atmospheric composition and climate
External datasetsDescriptionSource
Initial land cover, land use - grid Includes current state (intensive agriculture use, extensive agricultural use, no use) of land area and erosion protection represented by greenness index (NDVI = Normalized Difference Vegetation Index). GlobCover database
Initial temperature, precipitation - grid Global high resolution climate data from WorldClim. WorldClim database
Slope - grid Terrain slope index. IIASA
Soil types and profiles (S-World) Soil profiles based on the HWSD (Harmonised World Soil Database) and on the ISRIC-WISE international soil profile dataset S-World database, HWSD database
Weighting factors for temperature, precipitation, land use and slope Weighting factors for the contribution of temperature, precipitation, land use and slope on distribution of soil properties. expert judgement

Output Land degradation component

IMAGE model variablesDescriptionUse
Erosion risk - grid Risk of soil erosion caused by water.
Change in soil properties - grid Change in soil properties, such as clay/sand content, organic carbon content, soil depth (topsoil/subsoil).