European scale forest modeling

Transcription

1 European scale forest modeling Isabel van den Wyngaert Geerten Hengeveld Nanny Heidema Mart-Jan Schelhaas Gert-Jan Nabuurs ALTERRA SENSOR conference Berlin, April 8, 28

2 EFISCEN: input data & method Contains a detailed forest resource description down to NUTS Forest types obtained from NFI institutes Europe Countrie by Column H 357 to 891 (6) 192 to 357 (4) 14 to 192 (4) 64 to 14 (4) 4 to 64 (2) 3 to 4 (5) 16 to 3 (4) 12 to 16 (2) 6 to 12 (6) Under management constraints per forest type, EFISCEN tries to find the requested wood and projects forest growth.

3 Providing insight in regional supply of wood A shortage of wood? Harvest/increment ratio by region in 24 under nature oriented management. Analyses were also done by building in impacts of climate change from process based models Nabuurs et al. 26

4 But Diversification of management Uneven aged / mixed forests Short rotation production Availability of GIS Natura 2

5 EFISCEN space EFISCEN space Initialisation Simulator Output Summary A Spatially explicit Fine grained based European forest resource simulator for (Un)evenaged Mixed (Un)managed Stands

6 landuse change management disturbance Forest simulator Growth Regeneration Mortality Output Soil Input bases initialisation EFISCEN space Initialisation Simulator Output Summary

7 Gathered NFI Plot data EFISCEN space > 33, plots Initialisation Simulator Output Summary Varying detail X,Y coordinate Species Growing Stock Increment Height DBH Stem number Dead wood Harvest Age

8 A Beta version of the first high resolution tree species map of EU27+2 forests 1x1 km resolution, 2 tree species groups coverage from NFI & ICP level I plots Scaled to regional statistics & EFI forest map

9 EFISCEN space Initialisation Simulator Output Summary Pseudostands Pseudotsuga Robinia Populus spp Quercus robur Pseudotsuga Robinia Quercus robur Alnus spp Abies spp Betula spp Alnus spp Carpinus Betula spp Abies spp Castanea Carpinus Alnus sppabies spp Fagus Castanea Betula sppalnus spp Fraxinus spp Fagus Carpinus Betula spp Larix spp Fraxinus spp Castanea Carpinus other Larix spp FagusCastanea other conifers Fraxinus other spp Fagus other Pinus Larix Fraxinus spp spp other Quercus other conifers otherlarix spp Picea spp other Pinus other Quercus other conifers other Pinus Picea other spp Pinus Populus spp other conifers other Pinus Quercus Pseudotsuga other Pinus Populus spp Picea other spp Quercus robur Quercus Pseudotsuga Pinus Robinia Picea spp Populus spp Quercus robur Pinus volume (m 3 h a-1 ) area (ha) Robinia mean dbh (cm) Abies spp stem number (ha -1 )

10 ln(dv i /dt) = k + p.ln(v i ) + q.v s (p>; q<) Increment (m 3 year -1 ) Volume (m 3 ) Model Increment (m 3 year -1 ) Volume (m 3 )

11 ln(dv i /dt) = k + p.ln(v i ) + q.v s +ε (p>; q<) Increment (m 3 year -1 ) Volume (m 3 ) Increment (m 3 year -1 ) Model Volume (m 3 ) Increment (m 3 year -1 ) Increment (m 3 year -1 ) Volume (m 3 ) Volume (m 3 )

12 (p>; q<) Increment (m3 year-1) Increment (m 3year -1) ln(dvi/dt) = k + p.ln(vi) + q.vs+ε Volum e (m 3) Volume (m ) Model Increment (m3 year-1) Increment (m3year-1) Volume (m ) Volume (m )

13 Quercus robur + petraea Robinia pseudoacacia Populus spp Pseudotsuga menziesi Pinus sylvestris Abies spp Alnus spp Betula spp Carpinus betulus Castanea sativa Fagus sylvatica Fraxinus spp Larix spp other Pinus spp other Quercus spp Picea spp Quercus robur + petraea Robinia pseudoacacia Populus spp Pseudotsuga menziesi Pinus sylvestris Abies spp Alnus spp Betula spp Carpinus betulus Castanea sativa Fagus sylvatica Fraxinus spp Larix spp other Pinus spp other Quercus spp Picea spp St dev of increment 3 (m ha -1 ) Mean Increment (m 3 ha -1 ) Model Forest growth

14 F A G U S Surface (ha) Volume (m 3 ) Harvestable volume (m 3 ) P I C E A

15 Indicators EFISCEN space Initialisation Simulator Output Summary stand species level to regionally aggregated GHG-emissions» CO 2 Carbon stock» In forest» In harvest Forest resources Forest biodiversity» Area of forest (input)» Growing stock by assortment» Forest available for wood supply (based on management)» Up to 2 species» Forest types per km 2» Protection status (input based on management)

16 1x1 km modeling of European forests EFISCEN space Initialisation Simulator Output Summary is in its initial stages. Provides improved regional detail Allows variation to be reproduced Allows overlay of GIS material Allows e.g. assessment of transport costs Allows overlay of Natura 2 sites

17 Thank you NFI plotdata were received from: Jacques Rondeux and Martine Waterinckx, Belgium Juro Čavlović, Croatia Veiko Aderman, Estonia Kari Korhonen, Finland Thierry Bélouard, France Heino Polley, Germany Maurizio Teobaldelli, Italy Andrius Kuliesis, Lithuania Wim Daamen and Henny Schoonderwoerd, Netherlands Stein Tomter, Norway Margarida Tomé, Portugal Olivier Bouriaud, Romania Vladimir Seben, Slovak Republic Gal Kusar, Slovenia J. Villanueva and Antoni Trasobares, Spain Göran Kempe, Sweden Igor Buksha, Ukraine Shona Cameron, United Kingdom Within the framework of EFORWOOD, CARBOEUROPE, ADAM, MASCAREF