Forest management/Policy issues: Difference between revisions

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{{ComponentPolicyIssueTemplate
{{ComponentPolicyIssueTemplate
|Description=The forest management model of IMAGE has been used for the scenario study ‘Rethinking global biodiversity strategies’ on future biodiversity developments (Ten Brink et al., 2010). The study projects that, in the absence of additional forestry policy, the area of forest plantations will increase slightly between 2000 and 2050 (from 1.1 to 1.2 million km2). At the same time, the total forest area used in wood production will increase from 9.5 to 14.5 million km2 (Figure 4.2.2.1, left panel). According to this projection, by 2050, just over a third of the global forest area will be used for the production of wood, and the area of primary forest, as a consequence, will have decreased by more than 6 million km2 from almost 30 million km2 in 2000.
|Reference=PBL, 2010; Brown, 2000;
|Description=In most baseline scenarios, areas of forest management increase. The IMAGE forest management model was used in the scenario study ‘Rethinking global biodiversity strategies’ on future biodiversity developments ([[PBL, 2010]]). The study projects that, in the absence of additional forestry policy, the area of forest plantations will increase only slightly between 2000 and 2050 (from 1.1 to 1.2 million km2). The total forest area for wood production will increase from 9.5 to 14.5 million km2 (Figure below, left panel). According to this projection, by 2050, just over a third of the global forest area will be used for wood production and consequently. In the same year, the area of primary forest, defined in IMAGE as established before 1970 and not exploited since, will decrease by more than 6 million km2 from almost 30 million km2 in 2000.
|Example=Several policy interventions on forest management can be simulated in the IMAGE model 3.0:
* increase in production on highly productive forest plantations;
* increase in carbon storage to mitigate climate change;
* increasing harvest efficiencies, or using harvest residues for energy;
* more reduced impact logging (RIL) techniques, less conventional selective felling.


|Example=With respect to forest management, several policy interventions can be simulated in the IMAGE model 3.0. These include:
The  scenario study [[Rethinking Biodiversity Strategies (2010) project|‘Rethinking global biodiversity strategies’]] implemented the following two ambition levels for improved forest management as alternatives for the baseline trend (Figures *** and ***):  
• an increase in the area of highly productive forest plantations;
# Moderate ambition level: partial substitution of conventional selective felling in tropical forests with RIL techniques, and forest plantations targeted at supplying 25% of the global wood demand;
• an increase in carbon storage to mitigate climate change;
# High ambition level: full substitution of conventional selective felling with RIL techniques as of 2010, and forest plantations targeted at supplying 40% of the global wood demand by 2050. This represents a plausible future development of plantation growth ([[Brown, 2000]]).  
• a larger share of produced wood from reduced impact logging (RIL) techniques instead of conventional selective felling.


=== RIL ===
Regarding this last point, in the scenario study ‘Rethinking global biodiversity strategies’, the following two different ambition levels for introducing improved forest management were implemented, analysed, and compared to a baseline scenario (Figures 4.2.2.2 and 4.2.2.3):
1. a moderate ambition level, with partial substitution of conventional selective felling in tropical forests, using RIL techniques, and forest plantations targeted at supplying 25% of the global wood demand;
2. a high ambition level,  with full substitution of conventional selective felling for RIL techniques as of 2010, and forest plantations targeted at supplying 40% of the global wood demand by 2050. This represents a plausible future development of plantation growth (Brown, 2000).


The more ambitious implementation of improved forest management will result in considerably less land being used for forestry by 2050 (about 10 million km2, which is two thirds of the area used under the baseline scenario). With such a reduced use of forests, and the assumed positive effects from applying RIL techniques, the biodiversity loss caused by forestry will be lower. For the lower ambition level, gains will be smaller, with the forestry area expanding by well over 3 million km2, and less avoided biodiversity loss.


The ambitious improvements in forest management will result in considerably less land used for forestry by 2050 (about 10 million km2, or one third smaller area than under the baseline scenario). With the reduced forest area, and the assumed positive effects of {{abbrTemplate|RIL}} techniques, biodiversity loss caused by forestry will be reduced. For the lower ambition level, gains will be smaller with forestry area expanding well over 3 million km2, and less biodiversity loss prevented.
|IMAGEComponent=Biodiversity
|IMAGEComponent=Biodiversity
}}
}}

Revision as of 15:17, 21 May 2014

Link to framework components overview

Parts of Forest management/Policy issues

  1. Introduction page
  2. Model description
  3. Policy issues
  4. Data, uncertainty and limitations
  5. Overview of references
Component is implemented in:
Components:
Related IMAGE components
Projects/Applications
Key publications
References
Forest management module in IMAGE 3.0
Flowchart Forest management. See also the Input/Output Table on the introduction page. The option of forest plantations in IMAGE and LPJmL is still under development, and expected to be available soon.
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