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Natural and economic impacts of FFH-measures in forest enterprises

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1 Natural and economic impacts of FFH-measures in forest enterprises
- A case study from Germany - Forests and Natura 2000: Opportunities and Challenges Session 2 13. December 2012, Brussels Lydia Rosenkranz Thünen-Institute for Forest Economics, Hamburg, Germany 1

2 Natura 2000 in Germany Natura 2000: Protected area in German forests
Natura 2000, including Birds Directive: 2.6 Mio. ha forest area Habitats Directive (FFH): 1.8 Mio. ha forest area (17 %) 0.55 Mio. ha of protected beech forests which were not subject to a special protection status before Share of ownership of FFH-area in Germany Länder 46% Private 28% Communal 21% Federal State 5% Focus of study 9110 woodrush beech forest (luzulo-fagetum) 9130 woodruff beech forest (asperulo-fagetum) 2

3 Implementation of Habitats Directive
Ongoing process Responsibility largely with the Länder FFH-areas have been designated Management plans are just being written Current situation Management plans: Varying state of completion within the Länder Varying degree of participation: e.g. management plans in some parts without participation and unknown to forest owners Measurement planning: partly without prior assessment of impacts and determination of financial compensation. Assessment of conservation status: partly different threshold values amongst the Länder 3

4 Assessment of conservation status E.g. Threshold values of dead wood
9110 woodrush and 9130 woodruff beech forest Lying and standing deadwood Conservation status A  Conservation status B Länder BY, NI, NW, RP, SH, SL, SN, TH ST BW HE BB RP, SH, TH NI, NW, SL, SN Required amount (piece/ha or m³/ha) >3 pcs. >5 pcs. >10 m³ >15 m³ >40 m³ >1 pcs. 1-3 pcs. 1-4 pcs. 3-10 m³ 5-14 m³ 21-40 m³ BB = Brandenburg RP = Rhineland-Palatinate BW = Baden-Württemberg SH = Schleswig-Holstein BY = Bavaria SL = Saarland HE = Hesse SN = Saxony NI = Lower Saxony ST = Saxony-Anhalt NW = North Rhine-Westphalia TH = Thuringia 4

5 FFH-measures and perceived restrictions Online survey of forest owners (211 participants)
cons. = conservation comp. = composition comm. = community Mittelwald = coppice with standard forest 5

6 FFH-induced changes in case study forest enterprises: Beech forest habitat-type area
Average: -29 €/ha/a ≙ about 20 % of ø- silvicultural contribution margin FE = forest enterprise 6

7 „Enterprise Objective“
FFH-induced changes in case study forest enterprises: Beech forest habitat-type area FFH-Reductions compared to „Status Quo“ „Enterprise Objective“ Harvested timber Contribution margin (+ ongoing admin. costs) Arithmetic average -0.4 m³/ha/a (≙ about 6 %) -29 €/ha/a (≙ about 20 %) -0.7 m³/ha/a (≙ about 11 %) -40 €/ha/a (≙ about 27 %) Total range +1.9 to -2.7 m³/ha/a +46 to -197 €/ha/a +3.7 to -5.3 m³/ha/a +97 to €/ha/a 7

8 Results: capitalised earning power
Average „Status Quo“: €/ha Average „Enterprise Objective“: €/ha FE12 = No restrictions caused by FFH-implementation! 8

9 Evaluation of FFH-implementation to date
Online survey of forest owners (211 participants) 1 = very poor; 5 = very good

10 Conclusions The greatest natural and economic impairments for forest enterprises arise from the conservation of old growth and habitat trees as well as restrictions in the choice of future tree species. Implementation of FFH-measures leads to an immediate reduction of earnings that needs to be compensated. Also, in some enterprises, high fluctuations in loss of contribution margins occur during calculated time period. Loss of contribution margin only mirrors loss of income and additional expenses. Noticeable loss of market value in case study forest enterprises (calculation of capitalised earning power). 10

11 Conclusions Costs can consume income in some years/enterprises completely, especially in communal forest enterprises with a high level of expenditure for recreation and environmental education (which are mostly financed from timber revenues). The calculations are based on constant revenues from wood sales and current raw wood assortment demand: If future demand for raw wood and wood prices increases (e.g. energy prices), so will the costs of FFH-measures. Freedom of action is restricted by FFH-measures: Great uncertainties in regard to local conditions (e.g. climate change) and societal demands in the future. Forest owners bear the risks of societal decisions. 11

12 Thank you very much for your attention !

13 Evaluation concept Forest management according to FFH-measures:
“FFH-Regime” Determination of FFH-measures Possible difference Forest management according to “Status Quo” (without FFH-measures) Forest management according to forest owners objectives before designation of FFH-area Possible difference Forest management according to forest owners objectives: “Enterprise Objective” (without FFH-measures) Time Survey date

14 Impacts of conservation measures
Impacts on „measure areas“ Enterprises concerned from to Designation of habitat trees Number of habitat trees per hectare 3 10 Reduction of forest management area per tree & ha 20/21 1 % 2 % Reduction of overall forest management area 0.2 % 9.6 % Increase of harvesting costs for safety measures 18/21 1 €/m³ 6 €/m³ Restricted choice of tree species No planting/increase of Douglas fir, spruce (& oak) 15/21 Thinning/removing of non-native tree species 3/21 50 €/ha 1000 €/ha Increase of production time (rotation cycle) / Conservation of old-growth forest 4/21 20 years 40 years Conservation of dead wood 2/21 0.5 m³/ha/a 1 m³/ha/a Increase of ongoing administrative costs 19/21 0.5 €/ha/a 15 €/ha/a (120 €/ha/a) 14


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