Presentation is loading. Please wait.

Presentation is loading. Please wait.

choosing regeneration chain by using big data

Similar presentations


Presentation on theme: "choosing regeneration chain by using big data"— Presentation transcript:

1 choosing regeneration chain by using big data
Nordgen forest conference tuusula, finland Harri Lindeman, Esko Häyrynen, Sampo Kulju, Timo Saksa, Jori Uusitalo, Hannu Pirinen

2 Metsä Group | Sales EUR 5.0 billion | Personnel 9,100
Key figures 2017 Metsä Group | Sales EUR 5.0 billion | Personnel 9,100 Metsäliitto cooperative | Group’s parent company | Owned by 104,000 Finnish forest owners Metsä Forest Metsä Fibre Metsä Wood Metsä Board Metsä Tissue Wood Supply and Forest Services Sales: EUR 1.6 billion Personnel: 850 Pulp and Sawn Timber Sales: EUR 1.9 billion Personnel: 1,200 Wood Products Sales: EUR 0.5 billion Personnel: 1,400 Paperboard Sales: EUR 1.8 billion Personnel: 2,350 Tissue and Cooking Papers Sales: EUR 1.0 billion Personnel: 2,800 Renewable Energy 24 TWh Metsäliitto Cooperative is the parent company of Metsä Group, consisting of Metsä Forest and Metsä Wood, and three associated companies Metsä Tissue, Metsä Board and Metsä Fibre. Metsä Forest is responsible for supplying wood to Metsä Group companies and providing the owner-members of the Metsäliitto Cooperative with forest management services Metsä Fibre focuses on the pulp and sawn timber business Metsä Wood focuses on the wood products business Metsä Board focuses on the paperboard business Metsä Tissue focuses on the tissue and cooking paper business Metsäliitto Cooperative is Metsä Group's parent company. Metsäliitto Cooperative has approximately 104,000 members, who own nearly half of the private forest area in Finland. Metsä Group's ownership base and business structure differentiate it positively from its competition and provide a long-term perspective to its operations. Through Metsäliitto Cooperative's owner-members, Metsä Group has access to a considerable reserve of premium-quality raw material, providing it with a stable, long-term foundation for the development of its operations and production units. 2 February 2017 Metsä Group

3 BACKROUND OF THE EFFORTE - STUDY
Under Horizon 2020 programme (the biggest EU Research and Innovation programme)  Part of Bio-Based Industries Joint Undertaking (BBI JU) EFFORTE Partners from Finland, France, Scotland, Sweden and Switzerland Coordinator Jori Uusitalo (Natural Resources Institute Finland) Started in autumn 2016, ends in summer 2019 In general, cooperation has been rewarding and useful Problems more or less the same regardless of geography/location 15/11/2018

4 METSÄ GROUP AS A PARTICIPANT
Forest industry company Wood procurement  Aiming at cost efficiency in planning and operations with the help of Digitalization Big Data New working methods Practical perspective What is the value of compiled information, how useful is it? Joint projects’ usefulness 15/11/2018

5 AIM OF THE STUDY To develop decision support tool for regeneration (selection of tree species) utilizing HPR (harvested production) - data of harvester To optimize productivity of soil To utilize internal variation of site Tree species - Scots pine - Norway spruce 15/11/2018

6 FIELD TESTS 6 stands Logging Field measurements In Central Finland
Field work 6-12/2017 Area 1,3-24 ha, total 58 ha Site types VT-OMT Mainly mineral soils, small parts organic Regeneration species: Norway spruce or Scots pine Logging HPR files saved Field measurements Sample plots Age Soil type Stoniness 15/11/2018

7 USING HPR – HARVESTED PRODUCTION
HPR file StanForD2010 specified Logging yield with coordinates (GPS, machine at the time of felling) Combines stemwise and total production (m3) information Use of HPR data Stem length of timber Calculated top added to stem length 15/11/2018

8 CALCULATING H100 (SITE INDEX) AND GROWTH
H100 is a site index, that indicates the dominant height of stand at the biological age of 100 years Equations for Scots pine and Norway spruce (Gustavsen 1980) Equations to calculate mean annual volume increment from H100 (Vuokila & Väliaho 1980) 15/11/2018

9 H100 AND GROWTH FOR GRID LEVEL
16 * 16 m grid was placed over test sites H100 and mean annual volume increment were calculated for each cell Selection of dominant trees (3/cell) Stem lengths calculated based on HPR data H100 for Scots pine and Norway spruce Mean annual volume increment Maximum increment of tree species is chosen for cell value 15/11/2018

10 Max. length, m, Spruce, H100, m, Spruce, 3 stem / 256 m2(16*16m),
Site 2 H100, m, Spruce, 3 stem / 256 m2(16*16m), Site 3 15/11/2018

11 Spruce, mean annual volume increment, m3/a
Max. mean annual volume increment, m3/a Pine, mean annual volume increment, m3/a 15/11/2018

12 MICROSTANDS Tree species will be determined based on the calculated mean annual volume increment Microstands will be generated from the cells of same species, paying attention to microstands being of a reasonable size Optimization of microstands Maximising growth Minimazing regeneration costs 15/11/2018

13 EXAMPLES OF CREATING MICROSTANDS
Original data Mean annual volume increment (growth index) for each grid is calculated as the average value of 9 grids (the one in the middle of square) Segmented data Grids are segmented into three smaller segments Growth Under 6,5 m3/year Between 6,5-8,0 m3/year Over 8,0 m3/year Cleaned data Separate groups of grids under nine pieces are joined to bigger microstands around them 15/11/2018

14 ORIGINAL DATA, 1 GRID = 1 + 8 IN AVERAGE
SEGMENTED DATA, GRIDS INTO 3 CATEGORIES SINGLE GRID GROUPS UNDER 9 PIECES ELIMINATED 15/11/2018

15 ORIGINAL DATA, 1 GRID = 1 + 8 IN AVERAGE
SEGMENTED DATA, GRIDS INTO 3 CATEGORIES SINGLE GRID GROUPS UNDER 9 PIECES ELIMINATED 15/11/2018

16 FURTHER UTILIZATION Soil preparation Planting Cleaning of young stand
Thinning of young stand Fertilization Share of ash–fertilization increasing in the future (on peatlands) Ditching Indentifying possible valuable sites (e.g. waterside areas) 15/11/2018


Download ppt "choosing regeneration chain by using big data"

Similar presentations


Ads by Google