Paikkatietohakemisto
Paikkatietohakemisto (Paikkatietohakemisto)
Continents, countries, sea regions of the world.
Maatalousmaalla tarkoitetaan pellon (AL), pysyvän nurmen (PG) ja pysyvien kasvien (PC) alaa. Pelto on kasvien tuotantoa varten viljeltyä maata tai viljelyyn käytettävissä olevaa kesantomaata. Pysyvä nurmi Pysyvää nurmea on ala, jota käytetään yli 5 vuotta samalla paikalla olleiden heinäkasvien tai muiden nurmirehukasvien kasvattamiseen joko itseuudistuvasti tai kylvämällä. Pysyvä nurmi voi olla maankäyttölajiltaan peltoa tai luonnonlaidunta ja -niittyä. Pysyvällä nurmella saa kasvaa hajanaisesti enintään 50 puuta hehtaarilla. Puuksi katsotaan vähintään neljän metrin korkuiset yksi- tai monirunkoiset puut ja puumaiset pensaat. Myös kaiken kokoiset katajat katsotaan puiksi. Tuulensuojaistutusten puita ei oteta huomioon puiden määrässä. Alalla saa kasvaa tuotantoeläinten ravinnoksi soveltuvia lehtipensaita ja lehtipuiden taimia, jos niitä on alle puolet tukikelpoisen kasvulohkon pinta-alasta. Yli puolella (50 %) kasvulohkon pinta-alasta on oltava heinä- ja nurmirehukasveja. Vaatimus koskee myös niitä pysyvän nurmen lohkoja, joilla on puita tai lehtipensaita tai molempia. Pysyvät kasvit Pysyvillä kasveilla tarkoitetaan viljelykiertoon kuulumattomia kasveja, joita kasvatetaan vähintään 5 vuoden ajan ja joista saadaan toistuvaa satoa. Näitä kasveja ovat esimerkiksi hedelmäpuut, marjapensaat ja koristekasvit. Lisätietoa: https://www.ruokavirasto.fi/tuet/maatalous/oppaat/hakuoppaat/hakuoppaat/peltotukien-hakuopas/peltotukien-hakuopas-2023/
Tämä on aineiston ensimmäinen vuosittainen julkaisu. Aineisto julkaistaan vuosittain, julkaisuajankohta on seuraavan vuoden huhtikuussa.
This dataset contains borders of the HELCOM MPAs (former Baltic Sea Protected Areas (BSPAs). The dataset has been compiled from data submitted by HELCOM Contracting Parties. It includes the borders of designated HELCOM MPAs stored in the http://mpas.helcom.fi. The designation is based on the HELCOM Recommendation 15/5 (1994). The dataset displays all designated or managed MPAs as officially reported to HELCOM by the respective Contracting Party. The latest related HELCOM publication based on MPA related data is http://www.helcom.fi/Lists/Publications/BSEP148.pdf The dataset contains the following information: MPA_ID: Unique ID of the MPA as used in HELCOM Marine Protected Areas database Name: Name of the MPA Country: Country where MPA is located Site_link: Direct link to site's fact sheet in the http://mpas.helcom.fi where additional information is available MPA_status: Management status of the MPA Date_est: Establishment date of the MPA Year_est: Establishment year of the MPA
Use constraints: Data can be used freely given that the source (HELCOM) is cited.
Access constraints: No limitations on public access.
This dataset is compiled from data submitted by HELCOM Contracting States. It includes the borders of designated HELCOM MPAs. The dataset was updated in May 2023 to update Status of German MPAs: "Fehmarnbelt", "Kadetrinne" and "Pommersche Bucht-Rönnebank" The dataset was updated December 2022 to update new MPAs reported by Germany (MPA_IDs 593-600). The dataset was updated June 2022 to update 3 new MPAs by Sweden and modifying extent of MPA_ID=118 (Fladen). The dataset was updated October 2019 to accommodate updated status of management plans. The dataset was updated April 2019 by HELCOM Secretariat to add a new MPA (MPA ID:522 - Södra Sandbäck) as designated by Finland, and to include new areas to 2 existing MPAs (MPA ID: 143 - Saaristomeri /Archipelago Sea and MPA ID: 157 - Tulliniemen linnustonsuojelualue/ Tulliniemi bird protection area) as designated by Finland. In addition the whole Finnish MPA network was re-projected to remove the shift in the features that occurred before. Also the spatial delineation of following Finnish MPAs were revised to remove islands and water areas that are not included in the MPA IDs: 161, 159 and 144. The dataset was updated in January 2019 by HELCOM Secretariat in order to update MPA establishment dates for Germany based on corrected information. The dataset was updated in February 2018 by HELCOM Secretariat in order to update attribute table content (management plan status) according to updates carried out by Contracting Parties to HELCOM MPA database. In March 2017 two new MPAs were included (MPA_ID:533 - Sambija plynaukšte Biosphere Polygon and MPA_ID:532 - Klaipeda-Ventpilis plynaukšte Biosphere Polygon) as designated by Lithuania. Following changes has been made until april 2016: Removed attributes "Location_S", "AreaTot_Ha", "AreaMar_Ha", "N2K_Site", changed following attributes names: "BSPA_ID" to "MPA_ID", "BSAPLink" to "Site_link" and added attribute "Date_est" according to new http://mpas.helcom.fi. Following changes has been made until August 2015: Modified HELCOM MPA: Küstenlandschaft Bottsand - Marzkamp u. vorgelagerte Flachgründe, Östlichen Kieler Bucht Following changes has been made until February 2015: Added HELCOM MPAs: Luodematalat (February 2015) Länsileton alue (February 2015) Sandkallanin eteläpuolinen merialue (February 2015) Hangon itäinen selkä (February 2015) Merikallat (February 2015) Björkör (February 2015) Boxö (February 2015) Långör - Östra Sundskär (February 2015) Signilskär - Märket (February 2015) Lågskär (February 2015) Bogskär (February 2015) Following changes has been made until July 2013: Removed BSPAs: 1 Finnish BSPA, BSPA_ID: 146 (Åland Area: Signilskär/Märket) (June 2012) 2 Polish BSPAs, BSPA_ID: 87, 182 1 Russian BSPAs, BSPA_ID: 162 (Ingermanlandskiy) 4 Swedish BSPAs, BSPA_ID: 114-121 5 Latvian BSPAs, BSPA_ID: 96-100 (June 2012, April 2013) 1 Danish BSPA, BSPA_ID: 290 (July 2013) Added BSPAs: 4 Swedish (ID 297-300 (May 2011) 7 Latvian BSPAs, ID: 303-309 (April 2013) 2 Lithuanian BSPAs, ID: 310-311 (july 2013) Modied BSPA areas: 2 Danish BSPA:s, ID 244, 249 (July 2013) 2 Russian BSPA:s, ID 163-164, (July 2013). During 2009-2010 the data was updated within a project to analyse the ecological coherence of the HELCOM protected areas network. Results are published in "HELCOM 2010. Towards an ecologically coherent network of well-managed Marine Protected Areas – Implementation report on the status and ecological coherence of the HELCOM BSPA network. Balt. Sea Environ. Proc. No. 124B." Available online at http://http://www.helcom.fi/Lists/Publications/BSEP124B.pdf
EMODnet Seabed substrate 1:100 000 – Europe
The EMODnet (European Marine Observation and Data network) Geology project (http://www.emodnet-geology.eu/) collects and harmonizes marine geological data from the European sea areas to support decisionmaking and sustainable marine spatial planning. The partnership includes 39 marine organizations from 30 countries. The partners, mainly from the marine departments of the geological surveys of Europe (through the Association of European Geological Surveys- EuroGeoSurveys), have assembled marine geological information at a scale of 1:100 000 from all European sea areas (e.g. the White Sea, Baltic Sea, Barents Sea, the Iberian Coast, and the Mediterranean Sea within EU waters). This data includes the EMODnet seabed substrate map at a scale of 1:100 000 from the European marine areas. Traditionally, European countries have conducted their marine geological surveys according to their own national standards and classified substrates on the grounds of their national classification schemes. These national classifications are harmonized into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. The data has been generalized into a target scale (1:100 000). The smallest cartographic unit within the data is 0.05 km2 (5 hectares). Further information about the EMODnet-Geology project is available on the portal (http://www.emodnet-geology.eu/).
Attribution 4.0 International (CC BY 4.0)
These national classifications are harmonized into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. In cases the data has been generalised into a target scale (1:100 000). The smallest cartographic unit within the data is about 0.05 km2 (5 hectares). The restricted areas have been removed from the material. Further information about the EMODnet-Geology project is available on the portal (http://www.emodnet-geology.eu/). Copyright: European Community, represented by the European Commission. The holders of the intellectual property rights (IPR) to the data, which existed prior to the Contract being entered into, are the EMODNET-Geology partners.
Ilmakuva on lentokoneesta otettu kuva maastosta. Kuvat ovat kartoituskäyttöön soveltuvia pystykuvia. Ilmakuvista jatkojalostetaan mittatarkkoja kuvia, joita kutsutaan ortokuviksi. Ilmakuvia on alueesta riippuen saatavilla 1930-luvulta lähtien. Ilmakuvan voi hankkia mustavalkoisena, värillisenä tai väärävärisenä. Ilmakuvan koko ja tarkkuus riippuvat kamerasta, kuvausmittakaavasta ja kuvauskorkeudesta tai maastoerotuskyvystä (GSD). Tuote on avointa aineistoa. Ilmakuvia voi tilata kappaleittain rajatulta alueelta. Ilmakuvista valmistetut uusimmat ortokuvat ovat ladattavissa maksutta Avoimien aineistojen tiedostopalvelusta.
Maanmittauslaitoksella on tekijänoikeus ja muut immateriaalioikeudet Ilmakuviin. Tietoaineisto ei ole salassa pidettävä. Julkista saatavuutta ei ole rajoitettu INSPIRE-direktiivin nojalla. Puolustusvoimien määrittämät alueet saattavat rajoittaa ilmakuvien saatavuutta joillain alueilla.
Mainitse Lisenssinantajan nimi (Maanmittauslaitos), aineiston nimi ja ajankohta, jolloin Maanmittauslaitos on luovuttanut aineiston (esimerkiksi: sisältää Maanmittauslaitoksen Maastotietokannan 06/2014 aineistoa).
Ilmakuvat ovat Maanmittauslaitoksen maastotietotuotantoon tuotettu lähtöaineisto. Ilmakuva on lentokoneesta kartoituskäyttöön soveltuvalla sensorilla otettu kuva maastosta. Ilmakuvan kattama alue riippuu kuvauskorkeudesta. Maanmittauslaitoksen kuvaukset on tehty filmikameralla vuoteen 2008 asti ja digitaalikameralla vuodesta 2009 eteenpäin. Digitaalikuvauksesta tuotettu ilmakuva prosessoidaan kahdeksan kameran muodostamista osakuvista. Väri-informaatio liitetään korkearesoluutioiseen pankromaattiseen kuvaan pansharpening-tekniikalla. Lopputuloksena saadaan kuva neljälle eri värikanavalle (punainen, sininen, vihreä ja lähi-infra). Kuvalla näkyvän kohteen sijaintitarkkuus riippuu kameran rakenteesta ja kuvauskorkeudesta. Kuvaan aiheutuu geometrista virhettä johtuen maaston korkeuseroista ja keskusprojektiosta. Virhe on suurimmillaan kuvan reunoilla ja pienimmillään kuvan keskellä.
2016 all ship types AIS shipping density
This dataset represents the density of all IMO registered ships operating in the Baltic Sea. Density is defined as the number of ships crossing a 1 x 1km grid cell. It is based on HELCOM AIS (Automatic Identification System) data. The HELCOM AIS network hosts all the AIS signals received by the Baltic Sea States since 2005. The AIS Explorer allows to compare density maps of different ship types per month: http://maps.helcom.fi/website/AISexplorer/ The data was processed to produce density maps and traffic statistics. All scripts are available in GitHub: https://github.com/helcomsecretariat. The production of these maps have been carried out 2016-2017 through the HELCOM project on the assessment of maritime activities in the Baltic Sea. The underlying AIS data processing work has been co-financed by EU projects Baltic Scope (2015-2017 EASME/EMFF/2014/1.2.1.5) and Baltic Lines (2016-2019, Interreg Baltic Sea Region). In addition, the Ministry of the Environment of Finland supported the work with a special contribution in view of the use of the results in the HOLAS II process.
Attribution 4.0 International (CC BY 4.0) HELCOM data is free for public use, however HELCOM should always be cited as the data source.
The density map is based on a 1 x 1km grid from the European Environment Agency (EEA) and is following the INSPIRE geographical grid systems. The value of each cell represents the number of trips crossing it. A trip is a line depicting the movement of a ship between two ports, from outside the Baltic Sea or towards its exit. Those lines are made with AIS signals (points). To generate them, 339 areas around ports and 5 areas defining the borders of the Baltic Sea were used. The lines were overlaid on top of the grid to count the number of lines crossing each cell. This process is done per each month.
EMODnet Seabed substrate 1:45 000 – Europe
The EMODnet (European Marine Observation and Data network) Geology project collects and harmonizes marine geological data from the European sea areas to support decision making and sustainable marine spatial planning. The partnership includes 39 marine organizations from 30 countries. The partners, mainly from the marine departments of the geological surveys of Europe (through the Association of European Geological Surveys-EuroGeoSurveys), have assembled marine geological information at various scales from all European sea areas (e.g. the White Sea, Baltic Sea, Barents Sea, the Iberian Coast, and the Mediterranean Sea within EU waters). This dataset includes EMODnet seabed substrate maps at a scale of 1:45 000 from the European marine areas. Traditionally, European countries have conducted their marine geological surveys according to their own national standards and classified substrates on the grounds of their national classification schemes. These national classifications are harmonised into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. Further information about the EMODnet Geology project is available on the portal (http://www.emodnet-geology.eu/).
These national classifications are harmonised into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. The harmonised data has been assembled and in cases also generalised into the target scale. The restricted areas have been removed from the material. Further information about the EMODnet Geology project is available on the portal (http://www.emodnet-geology.eu/). Copyright: European Community, represented by the European Commission. The holders of the intellectual property rights (IPR) to the data, which existed prior to the Contract being entered into, are the EMODNET-Geology partners.
The Baltic Sea Impact Index is an assessment component that describes the potential cumulative burden on the environment in different parts of the Baltic Sea. The BSII is based on georeferenced datasets of human activities (36 datasets), pressures (18 datasets) and ecosystem components (36 datasets), and on sensitivity estimates of ecosystem components (so-called sensitivity scores) that combine the pressure and ecosystem component layers, created in HOLAS II project. Cumulative impacts are calculated for each assessment unit (1 km2 grid cells) by summing all pressures occurring in the unit for each ecosystem component. Highest impacts are found from the cells where both are abundant, but high impacts can be caused also by a single pressure if there are diverse and sensitive habitats in the grid cell. All data sets and methodologies used in the index calculations are approved by all HELCOM Contracting Parties in review and acceptance processes. This data set covers the time period 2011-2016. Please scroll down to "Lineage" and visit State of the Baltic Sea website for more info.
Data can be used freely given that the source is cited.
The Baltic Sea Impact index (BSII) was first applied in the Initial HELCOM Holistic Assessment of Ecosystem Health (HELCOM 2010a), building on concepts described by Halpern et al. (2008). The concepts were subsequently developed further for the eastern parts of the North Sea by the HARMONY project (Andersen et al. 2013), which has developed a HARMONY Pressure & Impact Mapper software (Stock 2016). The "summing method" used in BSII gives an overview of the areas which can be expected to be under high impacts based on that there are several ecosystem components being impacted. It was agreed during the HOLAS II process that the input pressure layers should be in numerical balance between different types of anthropogenic pressures, and therefore, human activity data layers being proxies for pressures should be aggregated when they reflect the same pressure. Temporal characteristics of the pressures are taken into account in the data processing, by designing the spatial data sets so that they more accurately represent cumulating or temporary pressures. These aggregated pressure layers follow the indicative list given in the Table 2a of the revised the Marine Strategy Framework Direction (MSFD) Annex III. More detailed information how these aggregation are made is available in the metadata of invidual datasets. Baltic Sea Impact Index has been calculated with a ArcGIS toolbox, developed at the HELCOM Secretariat, following the concepts described by Helpern et al. (2008). Aggregated pressure layers used in the calculation: - Changes to hydrological conditions - Disturbance of species due to human presence - Extraction of fish - Cod extraction (landings) - Extraction of fish - Herring extraction (landings) - Extraction of fish – Sprat extraction (landings) - Extraction of mammals – Seal hunting - Extraction of seabirds – Bird hunting - Input of continuous anthropogenic sound - Input of hazardous substances - Input of heat - Input of impulsive anthropogenic sound - Introduction of non-indigenous species and translocations - Introduction of radionuclides - Oil slicks and spills - Physical disturbance or damage to seabed (temporary or reversible effects) - Physical loss (permanent effects on the seabed) - Relative distribution of nutrient concentration - Total Nitrogen - Relative distribution of nutrient concentration - Total Phosphorus For use in the BSII method, 36 ecosystem component layers have been developed and agreed through the Contracting Parties’ data approval process.The final sensitivity scores used for the BSII are a combination of the results of the expert survey and results of a literature review. Browse through the Ecosystem components datasets used in the BSII calculation. Step-wise description of the working phases of the BSII method: 1. Definition of the assessment area 2. Listing and defining human activities and consequent pressures in the Baltic Sea 3. Listing and defining ecosystem components in the Baltic Sea 4. Decisions on time scales 5. Collecting the spatial data for Baltic Sea 6. Preparation of the GIS files 7. Aggregation of pressure data layers 8. Definition of the assessment unit 9. Estimation of the habitat and species sensitivity 10. Estimation of confidence 11. Calculating the index 12. Outcomes of the index 13. Validation Additional info on developing the BSII can be found here.
The Arctic SDI Gazetteer Service is a service that contains authoritative place names data from the arctic area. The service can be used for searching place names and performing reverse geocoding. The service contains about 2.87 million place name locations with about 3.15 million place names. It contains data from following sources: * Canada (Natural Resources Canada, updated: 02/2018) * Denmark (including Greenland) (SDFE, updated: 05/2017) * Finland (National Land Survey of Finland, updated: 04/2017) * GEBCO Undersea feature names gazetteer (updated: 04/2019) * Iceland (National Land Survey of Iceland, updated: 08/2017) * Norway (Norwegian Mapping Authority, updated: 08/2017) * Russia (Russian Mapping Agency, updated: 04/2019) * Sweden (Swedish National Mapping Agency, updated: 05/2017) * USA (US Geological Survey, updated: 05/2017)
Lack of spatial soil data in digital form has been a primary obstacle in establishing European policies on land use and environmental protection. Abundant data on soil characteristics exist in Finland but have been scattered among various sources, making it difficult for authorities to make country-wide presentations and predictions.The objective of the project was to create georeferenced soil map and database according to the instructions of the European Soil Bureau using data from existing databases and collecting some new data. The basis of the work was a geological map of quaternary deposits, which describes the soil at a depth of 1 metrem (parent material) according to the Finnish classification based on the concentration of organic matter and the texture of mineral material. Primary research topics included generalization methodology of soil polygons with GIS technology, calculation of soil characteristics needed in the database and computerizing the existing non-digital soil information. It was proved that aerial geophysics can be used for separation of shallow peats from deep peat soils and muddy soils and other wet areas can be identified. Soil names according to the FAO/Unesco system and the World Reference Base for Soil Resources (WRB-2014) were derived from the soil names of the Finnish soil classification system and geophysical data. Soilscape (Soil Mapping Units) of Finland with WRB-2014 soil classification, intented to be used in European scale e.g to delineate risk areas mentioned in soil framework directive proposal.
Finnish Soil Database 1:250 000, version 1.1, first update
NLS-FI INSPIRE Geographical Names Theme Dataset
NLS-FI INSPIRE Geographical Names Theme Dataset is a dataset depicting the Named Places and Geographical Names covering the whole of Finland. It contains the following INSPIRE feature types: NamedPlace The elements are updated weekly. The dataset is based on the Geographic Names Register of the National Land Survey of Finland: http://www.paikkatietohakemisto.fi/geonetwork/srv/fin/catalog.search#/metadata/eec8a276-a406-4b0a-8896-741cd716ade6 The dataset is available via the NLS-FI INSPIRE Download Service (WFS) for Geographical Names Theme and it can be viewed via the NLS-FI INSPIRE View Service (WMS) for Geographical Names.
The dataset is generated from the NLS Geographic Names.
Ruokavirasto INSPIRE - metatiedot tiedostopalvelun Atom-syötteelle
INSPIRE - metadata for WMS-service Seabed substrate
Copy of template Paikkatietopalvelun metatiedot (mallipohja) - monikielinen created at 2024-05-28T11:35:00Z
WMS service providing geographical names
Natural Resources Institute Finland (Luke)
EMODnet Seabed substrate 1:1 500 – Europe
The EMODnet (European Marine Observation and Data network) Geology project collects and harmonizes marine geological data from the European sea areas to support decision making and sustainable marine spatial planning. The partnership includes 39 marine organizations from 30 countries. The partners, mainly from the marine departments of the geological surveys of Europe (through the Association of European Geological Surveys-EuroGeoSurveys), have assembled marine geological information at various scales from all European sea areas (e.g. the White Sea, Baltic Sea, Barents Sea, the Iberian Coast, and the Mediterranean Sea within EU waters). This dataset includes EMODnet seabed substrate maps at a scale of 1:1 500 from the European marine areas. Traditionally, European countries have conducted their marine geological surveys according to their own national standards and classified substrates on the grounds of their national classification schemes. These national classifications are harmonised into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. Further information about the EMODnet Geology project is available on the portal (http://www.emodnet-geology.eu/).
Copyright: European Community, represented by the European Commission. The holders of the intellectual property rights (IPR) to the data, which existed prior to the Contract being entered into, are the EMODNET-Geology partners. These national classifications are harmonised into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. The harmonised data has been assembled and in cases also generalised into the target scale. The restricted areas have been removed from the material. Further information about the EMODnet Geology project is available on the portal (http://www.emodnet-geology.eu/).
EMODnet Seabed substrate 1:20 000 – Europe
The EMODnet (European Marine Observation and Data network) Geology project collects and harmonizes marine geological data from the European sea areas to support decision making and sustainable marine spatial planning. The partnership includes 39 marine organizations from 30 countries. The partners, mainly from the marine departments of the geological surveys of Europe (through the Association of European Geological Surveys-EuroGeoSurveys), have assembled marine geological information at various scales from all European sea areas (e.g. the White Sea, Baltic Sea, Barents Sea, the Iberian Coast, and the Mediterranean Sea within EU waters). This dataset includes EMODnet seabed substrate maps at a scale of 1:20 000 from the European marine areas. Traditionally, European countries have conducted their marine geological surveys according to their own national standards and classified substrates on the grounds of their national classification schemes. These national classifications are harmonised into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. Further information about the EMODnet Geology project is available on the portal (http://www.emodnet-geology.eu/).
Latvusmassan ja kantojen korjuupotentiaali
Metsähakkeen korjuupotentiaali kuvaa metsähakkeen raaka-aineiden teknistä potentiaalia eli hankintamahdollisuutta. Tekninen potentiaali on suurin mahdollinen määrä latvusmassa ja kantoja, joka voitaisiin korjata tietyllä ainespuun hakkuutasolla noudattaen energiapuun korjuuohjeita. Tekninen potentiaali ei kuvaa metsähakkeen saatavuutta, joka riippuu mm. metsänomistajan myyntihalukkuudesta ja kilpailutilanteesta. Aineistot on kuvattu suppeasti alla ja tarkemmin Anttilan ym. (2013, 2014) raporteissa. Uudistushakkuilta kertyvän latvus- ja kantobiomassan potentiaalit riippuvat uudistushakkuiden määrästä, joka puolestaan riippuu puunjalostusteollisuuden kotimaisen puun tarpeesta. Uudistushakkuille syntyvän latvus- ja kantobiomassan määrän arviot perustuvat kahteen eri ainespuun hakkuumahdollisuusarvioon: Suurin kestävä aines- ja energiapuun hakkuukertymä (SK) ja Toteutunut hakkuukertymä (TH). Arviot tuotettiin MELA-mallilla (Redsven ym. 2013). Hakkuumahdollisuusarviot perustuivat vuosien 2008–2012 aikana mitattuihin valtakunnan metsien inventoinnin maastokoealoihin (http://www.metla.fi/metinfo/vmi/). Kunkin metsäkeskuksen alueelle suurin puuntuotannollisesti ja taloudellisesti jatkuvasti hakattavissa oleva puumäärä on laskettu maksimoimalla nettotulojen nykyarvoa neljän prosentin laskentakorolla siten, että kausittaiset nettotulot ja aines- ja energiapuun hakkuukertymät pysyvät vähintään edellisen kymmenvuotiskauden tasolla, tukkipuukertymä säilyy koko laskelma-ajan vähintään ensimmäisen kauden tasolla, ja puuston tuottoarvo neljän prosentin korkokannalla laskettuna on laskelma-ajan lopussa vähintään alkuhetken tasolla (laskelma SK). Laskelmassa ei rajoitettu kasvun ja poistuman suhdetta, metsien ikäluokkarakennetta tai uudistushakkuiden määrää eikä kestävyyttä edellytetty puulajeittain. Toteutuneet hakkuut (TH) -laskelmassa ainespuun kertymä puulajeittain ja uudistushakkuupinta-ala säilyivät vuoteen 2050 asti vuosien 2008–2012 keskimääräisellä tasolla. Laskelmista TH ja SK poimittiin hakkuupoistuman biomassat avohakkuilta runkopuulle, oksille ja kannoille. Mukaan luettiin korjuuohjeiden mukaisesti vain kuivahkot kankaat ja niitä viljavammat kivennäismaat sekä vastaavat turvemaat (Äijälä ym. 2010). Latvusmassan poistuma arvioitiin lisäämällä oksabiomassaan runkopuun hukkaosuus. Latvus- ja kantobiomassa muunnettiin kiintotilavuudeksi jakamalla kunkin jakeen biomassa vastaavalla kuivatuoretiheydellä. Lopulta tekninen korjuupotentiaali saatiin vähentämällä edellisestä palstalle suositusten mukaan jätettävä osuus (latvusmassalla 30 % ja kannoilla 16-18 %). Metsäkeskustason potentiaalit jaettiin edelleen kunnille niiden uudistuskypsien metsien pinta-alaosuuden mukaan (MetINFO 2014). Kuntatason potentiaalit levitettiin tasan vuoden 2013 maaluokkatulkinnan mukaiselle metsämaalle (Avoimien aineistojen tiedostopalvelu 2015), josta oli poistettu luonnonsuojelualueet (Avoin tieto 2016). Viitteet Anttila, P., Nivala, M., Laitila, J. & Korhonen, K.T. 2013. Metsähakkeen alueellinen korjuupotentiaali ja käyttö. Metlan työraportteja / Working Papers of the Finnish Forest Research Institute 267. 24 s. Saatavissa: http://www.metla.fi/julkaisut/workingpapers/2013/mwp267.htm. Anttila, P., Nivala, M., Laitila, J., Flyktman, M., Salminen, O. & Nivala, J. 2014. Metsähakkeen alueellinen korjuupotentiaali ja käyttö vuonna 2020. Metlan työraportteja / Working Papers of the Finnish Forest Research Institute 313. 55 s. Saatavissa: http://www.metla.fi/julkaisut/workingpapers/2014/mwp313.htm. Avoin tieto. 2016. Internet-portaali. Suomen ympäristökeskus. Saatavissa: http://www.syke.fi/avointieto. Avoimien aineistojen tiedostopalvelu. 2015. Internet-portaali. Luonnonvarakeskus. Saatavissa: http://kartta.metla.fi/. MetINFO. 2014. MetINFO – Metsätietopalvelut. Saatavissa: http://www.metla.fi/metinfo. Redsven, V., Hirvelä, H., Härkönen, K., Salminen, O., Siitonen, M. 2013. MELA2012 Reference Manual (2nd edition). Finnish Forest Research Institute. 666 p. (Saatavilla: http://mela2.metla.fi/mela/julkaisut/oppaat/mela2012_2nd_ed.pdf). Äijälä, O., Kuusinen, M. & Koistinen, A. 2010. Hyvän metsänhoidon suositukset energiapuun korjuuseen ja kasvatukseen. Metsätalouden kehittämiskeskus Tapio. 31 s. Saatavissa: http://www.tapio.fi/files/tapio/Aineistopankki/Energiapuusuositukset_verkkoon.pdf.
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