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SRC in Bavaria

� SRC area ~ 1.150 ha (0.05 % of total arable land in Bavaria)

� constant increase within the last five years

� average size ~ 1.1 ha

HAUK et al. (2014): Analysis of

commercial SRC in Bavaria.

Biomass and Bioenergy 67

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SRC characteristics

� SRC = short rotation coppice

� intensive cultivations of fast growing tree species on

agricultural land

� most commonly used: clonal breeding material of poplar

(populus balsamifera, populus tremula), willow (salix

viminalis)

� short rotation period (3 to 10 years) depending on stand

density

� average yield ranging from 8 to 12 t dry mass per ha and year

� plant once harvest several times

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energy related input-output-ratio

low energy input

high energy ouput

SRC winter wheat

Bayerische Landesanstalt

für Wald und Forstwirtschaft

KUP-Scout

Modeling potentials of SRC in Bavaria

Kaufering, Lkr Landsberg a. Lech

Ute Bachmann-Gigl, Nele Sutterer, Dr. Elke Dietz, Dr. Frank Burger

objectives

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� identify the total amount and location of areas suitable for

SRC on agricultural land using GIS software

� predict potential biomass production of poplar related to site

conditions using yield functions

� estimate potential yield and energy content of wood chips

� visualize results by producing maps on community level

� develop a GIS based decision support tool to implement

decentralized energy supply projects

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legal restrictions

� excluded areas (biotopes, …)

� restricted areas (species protection

areas, landscape conservation areas, …)

KUP Scout model region

� permanent grassland areas

field areas

grassland areas

� consider agricultural land use status or designated protection

areas before establishing SRC

growth limitations

KUP Scout model region

� consider water supply as one of the most important site-specific

factors that affect growth and yield

Parameters:

− precipitation

− soil water capacity

− groundwater level

− evapotranspiration

− …

� identify suitable sites, prevent negative

effects e.g. on water availability

� take into account other factors such as

temperature, nutrients, soil type, …

water supply [mm]

during vegetation period

high

low

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site productivity

predictors

identifymain factors that affect

growth and yield

applymodel to entire state on the basis

of communes data

biomass potential

community

developmodels that predict potential

biomass production

1 2 3

biomass potential

parcel

� model site productivity of poplar plantations

− site productivity = potential biomass that can be produced

− determined by soil and climatic conditions, stand characteristics

model 3

model 2

model 1 climate

soil

relief

stand age,

density

genetic characteristics,

silvicultural treatment, …

model

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results

� visualize predictions and potential energy supply on community

level

restricted areas

potential biomass/yield

t dry mass per ha*a

− maps show specific land parcels available

for SRC

− statistics give information about

potential harvest yield, energy content

of produced wood chips (depending on

water content before and after storage)

water supply

biomass/yield energy content energy content

fresh mass … fresh mass … dry mass

[mm] [t/ha*a] [MWh/a ] [MWh/a ]

< 300 9,0 0 0

300-400 18,6 3.174 3.631

401-500 25,7 … 8.030 … 9.191

> 500 31,9 64.451 73.757

total 75.655 86.579

thank you for listening!

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… contact information

Bavarian State Institute of Forestry

Forest Technology, Business Management, Timber

Ute Bachmann-Gigl

+49 8161 71 5118

ute.bachmann-gigl@lwf.bayern.de

www.kupscout-bayern.de

www.lwf.bayern.de

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breeding material/cuttings

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manual planting of research plots

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machine planting

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SRC at the begin of June …

15

… 2 months later …

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motor-manual felling, Crane fed Chipper

after 5 years

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motor-manual felling, Hand fed Chipper

after 10 years

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Feller Buncher

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Forwarder

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Chipper

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Feller Chunker