Land and biodiversity policies/Data uncertainties limitations: Difference between revisions

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{{ComponentDataUncertaintyAndLimitationsTemplate
{{ComponentDataUncertaintyAndLimitationsTemplate
|Status=On hold
|Status=On hold
|Description=This section is a compilation of policies on land use and biodiversity, from a systems point of view, and with a focus on the interactions between policy areas. It should be noted that the kind of analysis described in this section contains some important uncertainties, which increase even further when the analysis covers longer scenario periods. All processes involved have been described in the respective model-specific section, together with the related uncertainties (see Table 8.3.1). Therefore, those uncertainties are not addressed again in this section. Instead, the most crucial uncertainties from a systems perspective are discussed
==Uncertainties in consumption==
For agricultural demand, the shift in consumption and consumption patterns due to higher incomes is uncertain and probably also influenced by cultural preferences and urbanisation. Although consumption per person is likely not to exceed 4,000 kcal per person per day, the share of animal products and the types of products will largely determine the size of the land area needed per person. Therefore, the result of the current transition by large parts of the world population towards more affluent diets is a crucial uncertainty. In addition, the possible breakthrough of biomass use for energy plays an important role in total demand.
==Uncertainties in technology==
In the modelling of production systems, the largest uncertainties concern the developments in productivity or yield increase. Historically, annual yields have been increasing by approximately 1%. Technological developments relate to research and plant breeding and yield developments also result from improved management practices. Both are driven, at least partly, by commodity prices, but empirical data and the quantitative modelling of these effects is still rather poor ([[Hertel et al. ...]]).  A further complication is the fact that farmers may have objectives and constraints that are not covered in the economic model. Research and plant breeding is targeted, for example, to a decreased susceptibility to water scarcity, diseases and pests. Although it is uncertain whether varieties could be bred that are more efficient than current varieties, new technologies to unravel the DNA of crops could significantly accelerate the breeding process ([[Godfray et al. 2010]]).
==Uncertainties in forestry==
For forestry the most important uncertainty concerns the use of fuel wood and the sources of traditional biomass. Only limited data is available on these subjects ([[Forest Management]]). In developed countries, a substantial amount of fuel wood is still being used, and it is highly uncertain, how fast  a full shift to modern energy carriers will occur.
==Uncertainties in land use regulation and  land use change==
For land-use regulation, the effectiveness of protected areas is not always sufficient to maintain original biodiversity values ([[Leverington et al. 2010]]). For land-use change, only the economic processes of the agricultural sector are taken into account. Complex socioeconomic interactions that drive deforestation [[(Lambin et al. 2001]]) are not part of the model. Likewise, the national institutional part of land use and land-use change is hardly included, although it is well-known that the institutional part largely defines the development of landscapes and land uses. 
The uncertainty range changes with the time horizon of the scenario, and is larger for indicators further down the modelling chain. For example, biodiversity results are largely driven by land-use change, which in turn is sensitive to uncertainties about land allocation and production systems, and finally to agricultural demand.
The IMAGE framework may be used to answer policy questions in different ways. Most frequently, technical interventions or assumed behavioural changes are implemented. The results from such alternative scenarios are then used to answer the respective 'what if' questions. The costs or policy measures needed to bring about such changes often cannot be modelled internally, nor can the feasibility of such options be taken into account. Only some economic instruments in the agro-economic model (e.g. a meat tax) can be modelled explicitly, and also some specific policies, such as those on [[HasAcronym::REDD+]], biofuels, or additional protected areas, can be modelled explicitly for their economic and system-wide effects. Other important transitions, such as behavioural change, can not be modelled.
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Revision as of 22:53, 9 December 2013

Policy interventions in agricultural demand
Flowchart Land and biodiversity policies (A). Policy interventions in the agricultural demand system.
Policy interventions in the crop and livestock production systems
Flowchart Land and biodiversity policies (B). Policy interventions in crop and livestock production systems.
Policy interventions in the forestry system
Flowchart Land and biodiversity policies (C). Policy interventions targeting the forestry sector.
Policy interventions in land-use regulation
Flowchart Land and biodiversity policies (D). Policy interventions that regulate land use and land supply.