Browsing by master's degree program "Magisterprogrammet i skogsvetenskaper"

Wood construction has been increasing globally and engineered wood products (EWPs), such as Cross Laminated Timber (CLT), have had a major part in it. Increasing wood construction could help decrease the carbon footprint of the construction sector, since wood can be sustainably sourced and wood products store carbon. To use wood in construction in a more extensive way, its properties and behaviour as a construction material must be known. Wood has many properties of which moisture has a great impact on other properties, such as strength. Too high moisture can also cause problems, such as fungal growth, on its own. Therefore, it is important to monitor the moisture levels and understand the factors affecting them. In this study, the wood moisture content (MC) of CLT wall elements was monitored with resistance-based moisture meters from the manufacturing plant, through transportation and construction of a building at the Hyytiälä forestry station in Finland. There were sensors in five locations around the building and they all measured MC in three different depths inside the wall. The objective was to see how, where and when did the MC change within the CLT elements. The data was analysed with statistical tests and presented through various types of graphs. The results showed that variation within the data was large, approximately from 8% to 16%. On average the MC was at its highest near the surface of the CLT elements, after the protective canopy was removed. Two measuring locations on the opposite sides of the building had consistently higher MC than in the other measuring locations. The MC stayed below FSP (Fibre saturation point) throughout the monitoring period and, therefore, the risk for moisture induced damage is very low.

Ekologinen kompensaatio tähtää luonnolle aiheutettujen haittojen korvaamiseen jossain haitta-alueen ulkopuolella. Ekologinen kompensaatio on mukana kesällä 2023 uudistetussa luonnonsuojelulaissa, minkä johdosta kompensaatiolle on luotu Suomessa arviointimittaristo ja laskentatapa. Kansainvälisesti erilaisia ekologisen kompensaation laskentatapoja ja kompensaatiojärjestelmiä on useita, joten Suomessa käyttöön otettu tapa on vain yksi mahdollinen metodi kompensaatioiden toteuttamiseen ja arviointiin. Ekologinen kompensaatio vaatii tavan määritellä luonnon nykytila ja sille aiheutettava haitta. Toistaiseksi määrittely tehdään maas-toinventointiin pohjautuen. Työn tavoitteena on verrata avoimen metsävaratiedon perusteella ennustettua luonnonarvoindeksiä maastoinventoidun aineiston perusteella tehtyyn laskelmaan. Kiinnostuksen kohteena on, kuinka tarkkaan ilman maastomitattuja tunnuksia laskettu ennuste on ja selittääkö jokin tekijä kuten kasvupaikka, kehitysluokka, lahopuun määrä tai muu ominaisuus en-nusteen tarkkuutta. Tulosten perusteella voidaan todeta, että kuviokohtainen ennusteen tarkkuus sisältää kohtalaisesti vaihtelua, mutta tilatasolla avoi-men metsävaratiedon perusteella tehty ennuste on melko kuvaava ja lähes harhaton. Ennusteen tarkkuuteen vaikuttavia tekijöitä on tarkasteltujen metsätilojen perusteella neljä: kasvupaikka, puulajien määrä, metsän-käsittely ja lahopuun määrä. Tulosten perusteella pieni puulajien määrä kuviolla saa ennusteen aliarvioimaan ekologista tilaa suh-teessa suureen puulajimäärään. Kasvupaikan osalta taas tulokset antavat viitteitä siihen, että tuoreilla ja kuivahkoilla kankailla en-nuste hieman yliarvioi luonnonarvoindeksiä kuiviin kankaisiin nähden, mutta tähän on syytä suhtautua varauksella muun muassa tuoreiden kankaiden yliedustetun määrän vuoksi. Metsänkäsittelyn osalta käsittelemättömissä metsissä luonnonarvoindeksi oli tarkastelluilla metsätiloilla hieman pienempi kuin käsi-tellyissä. Lahopuun määrä taas selittää tulosten mukaan lähes puolet mittaustapojen eron vaihtelusta ja luokkakohtaisen tarkaste-lun perusteella voidaan todeta, että luonnonarvoindeksin arvo runsaslahopuustoisilla kuvioilla on lahopuuttomia kuvioita korke-ampi. Tulokset antavat viitteitä siihen, että ekologisen kompensaation ennustamisella avoimesta metsävaratiedosta on potentiaalia ja kohtalaisestakin arviosta voisi olla metsänomistajalle sekä ekologisen kompensaation yleiselle tunnettuudelle hyötyä. Toistaiseksi kuitenkin maastoinventoinnilla saadaan tutkittavasta alueesta arvokasta lisätietoa, kuten lahopuun määrä, jota ei avoimesta metsä-varatiedosta ole saatavilla.

Opinnäytetyö on tehty osana Suomen metsäkeskuksen esiselvityshanketta Keski-Suomen ensiharvennuksien laadusta. Työssä tarkastellaan Metsäkeskuksen tekemän korjuujäljen laadun seurannan perusteella ensiharvennusmetsiköiden jäävän puuston tunnuksia, pääasiassa runkolukuja. Aineiston avulla simuloitiin OpeMotti-ohjelmistolla puuston kehitys koko kiertoajalle. Mitattuja ensiharvennuskuvioita oli 85, joista simulaatioissa mukana oli 83. Mäntyvaltaisia metsiköitä oli 42, kuusivaltaisia 32 ja koivuvaltaisia 9 kappaletta. Simulaatioiden tuloksista selvitettiin koko kiertoajan muutoksia ensiharvennettujen metsiköiden puuston runkoluvuissa, tilavuudessa, biomassassa ja hiilen sekä hiilidioksidin sidonnassa. Maastomittausten perusteella ensiharvennusten laatu oli heikko. Kaikki kuviot oli harvennettu liian harvoiksi, ja ajouran osuus pinta-alasta oli keskimäärin 28 %. Hakkuuvaurioita tai ajourapainaumia oli alle 3 %. Suositusten mukaisen maastodatan puuttuessa kiertoaikasimuloinnit tehtiin sekä maastodatan että laskettujen suositusarvojen perusteella. Simulaatioita tehtiin yhteensä 166 eri kuviotiedoilla; mitattu data ja suositusdata jokaisesta 83 kuviosta. Simulointien mukaan tarkastettujen ensiharvennettujen kuvioiden runkotilavuus vähenisi kiertoajan aikana 15 % ja biomassan tuotto 14 % verrattuna suositusten mukaisesti ensiharvennettuihin. Vaikka voimakas harvennus hieman nopeutti puuston kasvua, nopeampi kasvu ei korvannut menetettyä puumäärää normaalin kiertoajan aikana. Tulos ei juurikaan muuttunut valtapuulajeittain tarkasteltuna, vaikka puulajien kasvutavat ja -nopeudet erosivat toisistaan. Liian voimakkaat ensiharvennukset saattavat aiheuttaa metsänomistajille tulonmenetyksiä tulevaisuudessa. Simulaatioiden mukaan suositusten mukaan ensiharvennetuista kuvioista voisi saada päätehakkuussa 800–2000 euroa enemmän tuloa hehtaarilta. Suositusten mukaiset kuviot sitoivat hiilidioksidia 15 % ja hiiltä 14 % enemmän kiertoajan aikana. Vaikka esiselvitys oli alueellinen ja verrokkina olleet suositusarvot olivat mallien mukaisia keskiarvoja, tulokset kertovat ensiharvennuksen laadun heikkenemisestä. Ensiharvennuksen voimakkuudella on pitkäaikaiset vaikutukset metsän puuston tilavuuteen ja metsien hiilensidontaan. Koska ensiharvennuksia tehdään liian vähän tarpeeseen nähden, ensiharvennusten oikea-aikainen ja suositusten mukainen tekeminen on hyvin tärkeää. Ongelman korjaamiseen tarvitaan koko metsäalan toimijoiden yhteistyötä, koska syitä ensiharvennusten laadun heikentymiseen on monia.

The root rot fungus Heterobasidion annosum is one of the worst conifer pathogens in the boreal forests. Root diseases decrease forest growth, and their abundance could increase with climate change. Disease can reduce the carbon stored into forests even more than wildfires or pest outbreaks, further impacting the climate. Widespread Heterobasidion root rot can develop within the stem of susceptible trees without external symptoms. Therefore, research on the pathogen is difficult on a large extent and its dynamics at the landscape level could be researched with models. A model may be used to understand a system better or to predict its behaviour. Random maps are neutral landscape models, and they are not always significantly different from real random landscapes, except that things shaping real landscapes, such as waterways, human activities, or topography, are missing and the focus is on map cells representing habitats, their occupancy and connectivity across the landscape. Neutral landscape models are an application of percolation theory within landscape ecology; therefore, the connectivity and randomness are important. Heterobasidion spread by sporulation at the landscape level is of interest, as the focus of research has been on the spread by root contacts. In this study, simulations made with Motti and iLand software are compared, the effects of Heterobasidion spread on the dimensional variables of trees at the landscape level are evaluated, and the effects of various maximum dispersal distances on the number of new Heterobasidion colonies and the tree volume per hectare are studied. Forest growth and management practices were simulated with the Motti software, forest dynamics were simulated with the iLand software that uses a neutral landscape model, and Heterobasidion dynamics were simulated with the BITE modelling framework that was connected to iLand for the vegetation and environmental data. Betula pendula had a trend of underestimated values of the dimensional variables except for the basal area in iLand when compared to Motti. There was no clear trend for Picea abies or Pinus sylvestris. Overall, the change in basal area was overestimated the most and height was the most underestimated variable by iLand. A single dimensional variable could have different trends during a forest growth cycle in Motti and iLand. The effect of Heterobasidion on the dimensions of trees at the landscape level was minimal. Larger maximum dispersal distances resulted in more Heterobasidion colonies than shorter distances.

Nature is important to people. Urban green areas maintain a big role in provision of citizens’ recreation. Due to increasing urbanization, urban green areas are constantly diminishing. This has caused concern and distress among citizens. Various forest management measures can also cause many different reactions. Thus, nature – forests, meadows, grass fields – hold different meanings for every person. Purpose of this study was to examine how the forest management measures made in western half of Keskuspuisto (Central Park) has impacted on users’ opinions about the area. The study was conducted via web-based survey tool Maptionnaire as a half-structured web survey. 341 users took part in the survey. In total, users marked 512 favourite places, and 116 unpleasant places. Results were examined using cross tabulation, Kruskal-Wallis -test and chi-squared test with a 5 % risk. Mapped responses were examined in QGIS-software, with which the thematic maps of social values were created. Results were compared to a 2009 visitor survey. The first point of interest was how, where and how often survey respondents visited the park. In addition, users' favourite places and unpleasant places and the relating social values were examined, and whether the forest management measures have had an impact on the mapped responses. The results can be used in the forthcoming nature- and landscape management plan in the western half of Keskuspuisto. Based on the results, the western half of Keskuspuisto is very important for its users and its use is versatile. Usage of the area has increased in the last 10 years. A statistical link was not found between forest management measures and mapped responses or social values. Opinions about the forest management of the area varied greatly. It can be concluded that the forest management actions in western part of Keskuspuisto have been quite successful. Users were in general satisfied, but many voiced a concern regarding the future of the area. It is hoped that the area is kept out of future construction plans. Due to varying opinions and wishes, it is important to take the citizens' opinions into account in the city planning. The method of mapping social values and mapping favourite places and unpleasant places were useful ways to gain important information regarding the users and which areas are important to them.

The European spruce bark beetle (Ips typographus L.) is one of the most concerning forest pest to Norway spruce (Picea abies Karst) forests in Central and Northern Europe. The species has been fairly well studied, especially after the storm Gudrun in Sweden in 2005 and some widespread damages in spruce forests in Central Europe in the recent years. I. typographus is a highly opportunistic species and a population can expand drastically if favorable conditions, mainly weakened or windthrown trees and suitable temperatures, are met. After reproducing on these favorable conditions, the species may have reached a population size so large that it is capable of infesting and killing even standing, healthy trees in the nearby areas. Damages caused to standing trees are the most problematic as there losses in economic revenue, carbon storage and, in some cases, ecosystem services. In Finland, the problems caused by I. typographus have fortunately been localized, but with climate change increasing extreme weather patterns, the problems are likely to increase in the future, which is why the species, as well as other potentially problematic species should be studied as intensively as possible, so that informed decisions can be made in case of a windthrown or other pest inducing event was to occur. After the Asta-storm in 2010, some 9000 cubic meters of wood had fallen in Ruokolahti municipality. Quickly after the storm, two areas (Viitalampi and Paajasensalo) were conserved under METSO-program and no commercial harvests were done in the sites, and permissions for bark beetle studies were given to increase knowledge especially on I. typographus. The two sites were mostly harvest-ready or mature Norway spruce dominated forests. Field work began in 2011 in Viitalampi, and new study plots were established in Viitalampi and Paajasensalo in subsequent years. To study bark beetle population dynamics, a total of 140 fallen trees were studied. From each tree diameters were measured at base (d0), breast-height (d1.3) and ten meters (d10), as well as full height of the tree. An entomological analysis was done in two-meter intervals (from 0m to 10m) to establish changes of bark beetle activity on a stem. A 25cmx50cm piece of bark was analyzed on each height, from which new and old entry and exit holes and different bark beetle maternal galleries were calculated. This was done on a different tree each year on a plot, although it was done only to trees which had root connections to the soil and were thus deemed alive and potential breeding and feeding ground for bark beetles. In addition, National Land Survey of Finland provided high resolution aerial images from the study sites so that the surrounding areas and conditions could be taken into account in studying bark beetle population dynamics. From the aerial images, a number of fallen and standing trees were calculated on a 25-meter zone around the center of a plot, as well as the size of the closest windthrown gap and the plot’s distance to that gap. The analysis of each measured factors’ significance to I. typographus maternal gallery density (m²) were calculated with Generalized Linear Models. Yearly changes in I. typographus occurrence were expectedly high and complied with observations in previous studies. In addition, there was a significance found in gap size and distance to gap in 2013, which could be explained with population behavior in previous years and with the exhaustion of larger and more nearby resources in the beginning of population build-up. Extensive field work combined with aerial images and other spatial tools are important in understanding the complexity of bark beetle, or any other forest pest, population dynamics. As extreme weather patterns increase, so do the damages caused by biotic agents, such as the European spruce bark beetle. Future studies are needed to educate and prepare forest owners for forest disturbances, be it from the viewpoint of commercial forestry, carbon storage or biodiversity conservation.

Structural complexity of trees is related to various ecological processes and ecosystem services. It can also improve the forests’ ability to adapt to environmental changes. In order to implement the management for complexity and to estimate its functionality, the level of structural complexity must be defined. The fractal-based box dimension (Db) provides an objective and holistic way to define the structural complexity for individual trees. The aim of this study was to compare structural complexity of Scots pine (Pinus sylvestris) trees measured by two remote sensing techniques, namely, terrestrial laser scanning (TLS) and aerial imagery acquired with unmanned aerial vehicle (UAV). Structural complexity for each Scots pine tree (n=2065) was defined by Db-values derived from the TLS and UAV measured point clouds. TLS produced the point clouds directly whereas UAV imagery was converted into point clouds with structure from motion (SfM) technology. The premise was that TLS provides the best available information on Db-values as the point density is higher in TLS than in UAV, and be-cause TLS is able to penetrate vegetation. TLS and UAV measured Db-values were found to significantly differ from each other and, thus, the techniques did not provide comparable information on structural complexity of individual Scots pine trees. On average, UAV measured Db-values were 5% bigger than TLS measured. The divergence between the TLS and UAV measured Db-values was found to be explained by the differences in the number and distribution of the points in the point clouds and by the differences in the estimated tree heights and number of boxes in the box dimension method. Forest structure (two thinning intensities, three thinning types and a control group) significantly affected the variation of both TLS and UAV measured Db-values. However, the divergence between TLS and UAV measured Db-values remained in all the treatments. In terms of the individual tree detection, the number of obtained points in the point cloud, and the distribution of these points, UAV measurements were better when the forest structure was sparser. In conclusion, while aerial imaging is a continuously developing study area and provides many advantageous attributes, at the moment, the TLS methods still dominate in accuracy when measuring the structural complexity at the tree-level. In the future, it should be studied whether TLS and UAV could be used as complementary techniques to provide more accurate and holistic view of the structural complexity in the perspective of both tree- and stand-level.

The underlying bedrock is known to have effects on metal contents in soil and water, and thereby onto the major and trace nutrient balances in plants. Heavy metal contents in different rock types are highly variable and changes in the composition of the bedrock can happen over small distances. In Finland, the locally relatively abundant black shales in the eastern part of the country contain elevated amounts of several heavy metals, while the generally more common felsic rock types are in comparison depleted in them. The influence of elemental contents in bedrock on metal distribution in nature can be assessed through comparing metal amounts in various kinds of environmental samples, which at the same time enables identification of areas of potential environmental concern. The aim of this study is to assess the influence of bedrock on heavy metal contents in peat, ditch water, and needle samples between areas underlain by felsic or black shale bedrock in nine peatland catchments in Kainuu in eastern Finland. In addition to comparing differences in elemental contents, effort is put into evaluating strengths of correlations between metal concentrations and ash contents in peat samples and to assess which metals have a tendency of occurring together in peat. For ditch water samples, correlations will be evaluated between concentrations of metals and of dissolved organic carbon (DOC) and of amounts of precipitation. In addition to influences of bedrock, other possible reasons behind differences in heavy metal amounts between areas will be looked at. Comparisons with data from other publications will in places also be made. The study is based on material collected by the Natural Resources Institute Finland in the years 2008–2015, which here includes 70 peat, 634 ditch water, and 80 needle samples. All samples were collected in nine separate forestry drained peatland catchments. Five of the catchments were located on areas underlain by felsic bedrock and four by black shales. The peat samples examined in this study range from the surface of the peat layers to 40 cm depth. The ditch water samples were collected from outlet ditches from all nine peatland catchments and needle samples were taken in eight catchments from either Scots pine (Pinus sylvestris L.) or Norway spruce (Picea abies [L.] Karst). Half of the samples were of current year’s and half of previous year’s needles. Laboratory analyses of peat samples included measurements of As, Cd, Co, Cr, Cu, Mn, Ni, Pb, U, and Zn concentrations by either ICP-MS or ICP-AES -methods and of ash contents through loss-on-ignition (LOI). Ditch water samples were analysed for Cd, Cr, Cu, Mn, Ni, Pb, and Zn concentrations with the ICP-AES method, for DOC concentrations by TOC-V CPH/CPN analysis and for sulphate (SO4-S) by ion chromatography. Tree needles were measured for contents of Cr, Cu, Mn, Ni and Zn with ICP-AES. Statistical differences in metal amounts in samples by bedrock were tested with the Mann–Whitney U test and correlations using Spearman’s rank correlation coefficient or the Pearson correlation coefficient. Metal concentrations in peat samples were for some tests recalculated to take into account ash contents using a linear general model. Metal stocks in peat layers (mg/m2) were also calculated for the sampling sites. As the main results, the ash corrected metal concentrations in peat were statistically significantly higher in samples collected on black shale as opposed to felsic bedrock in terms of As, Cd, Co, Mn, Ni, and Zn, while metal stocks in peat were significantly different in terms of Ni. In ditch water, samples from black shale areas had significantly higher concentrations of Cd, Cr, Cu, Ni, and Zn, and in tree needle samples similar significances were observed for Ni. The only cases were samples from felsic areas had significantly higher concentrations than those form black shale areas were the ash corrected concentrations of U and Cu concentrations in needle samples. Regardless of the underlying bedrock, large variations in metal amounts in all sample types were observed between catchment areas. Correlations between metal concentrations and ash contents in peat were generally relatively strong. Correlations between metals in peat were variable, and often stronger in samples collected in felsic areas. In water samples, correlations between metal and DOC concentrations were variable both between metals and catchments. The correlations between precipitation and metal concentrations in ditch water were generally weak. Overall, the composition of the bedrock was noticed to have some effects on metal concentrations in all sample types. But it was evident by the results that there are also other factors controlling metal amounts between catchments.

Northern peatlands store approximately one-third of total global terrestrial carbon (C). These peatlands were partly drained for agriculture and forestry. In drained peatland forest, beside tree stands, ground vegetation is another relevant component concerning C fluxes between the land and the atmosphere. Thus, to explore ground vegetation gross primary production (GPPGV) dynamics, its affecting factors, and impacts of the partial harvest; forest floor net exchange (NEFF) and respiration (RFF) were measured on an hourly interval with an automated closed flux chamber method were analysed. These measurements were conducted in a forestry drained peatland before (pre-harvest, 2013 – 2015) and after (post-harvest, 2016 – 2017) the partial harvest and a control area (2015 – 2017) located in southern Finland. The results showed a similar diurnal pattern of GPPGV in all three scenarios yet, with a considerably varying magnitude between these scenarios. An 83% increase in photosynthetically active radiation (PAR) was observed in 2016 followed by the harvest event. However, a markedly higher GPPGV was obtained in the year 2017 (139.04 mg CO2 m-2 h-1) a year after the partial harvest compared to the year 2016 (42.82 mg CO2 m-2 h-1), thereby indicating a delaying effect of partial harvest induced changes on productivity. A linear mixed effect model with fixed effects of treatment (control and partial harvest) and random effects of chambers further supported this result with a significant effect of partial harvest on GPPGV in 2017 as compared to 2016. Further, a strong positive correlation was found between the daily mean GPPGV and PAR. Additionally, types of vegetation and its share of projection cover (PC) also explained GPPGV variations between flux chambers. An increase in GPPGV after the partial harvest event showed that the ground vegetation can play a considerable role in the C cycle of a managed drained peatland forest beside tree stands. As expected, after the partial harvest more lights reached the ground layer altering productivity. Besides light availability, productivity also depends on the types and phenology of inhabiting vegetation. Thus, exploration and realization of the response of ground vegetation to the partial harvest induced changes may contribute to our understanding of natural regeneration and system recovery processes.

The loss of forest biodiversity is a global issue. In Finland, there are many measures aiming at preserving the forest biodiversity, for example, protection of the forest habitats defined in the Forest Act and in the Nature Conservation Act; protection of threatened species; the nature management methods in commercially utilized forests and the forest certification. Information of forest resources is collected mainly by remote sensing methods, but also field inventories are carried out, especially when preservation of the areas of high biodiversity value needs to be verified and monitored. Metsäteho Oy has developed an automated method for delineating harvested stands based on harvester location data. The method can be a beneficial tool for providing up-to-date forest resource information. The objective of this study was to research, if harvester location data can be utilized in verifying preservation of areas of high biodiversity value, and in recognizing potential areas, and how that could be implemented in practice. The harvester data used in this study was collected from geographically diverse areas in Finland, and the data contains stem-wise coordinates of harvester while cutting the tree. The delineations of operated areas were generated from harvester location data using the automated method developed by Metsäteho Oy. After the stand delineation was generated, the automated method was utilized in recognizing non-harvested areas left inside and between the harvested stands. Both harvested stands and non-harvested areas were compared to open forest data (including the data of the protected habitats according to the Forest Act and METSO Programme; other protected areas; habitats of threatened species; the Topographic database) using spatial data analysis. The aim was to investigate, if the known areas of high biodiversity value were delimited outside of the harvested stands or if they were left non-harvested within the harvested stand area. In addition, the aim was to research why the automatically recognized non-harvested areas were left without harvesting, and if the non-harvested areas could be potential areas of high biodiversity value. After the spatial data analysis was completed, also field surveys were carried out. Based on the spatial data analysis and the field surveys, the known areas of high biodiversity value were mainly delimited out-side of the harvested stands. The cases in which they were left without harvesting within the harvested stands, were possible to recognize through spatial data analysis. According to the spatial data analysis, part of the automatically recognized non-harvested areas were potential areas of high biodiversity value. Recognized non-harvested areas can be utilized also in recognizing retention tree groups with certain limitations. According to the results, the recognition method for high biodiversity value areas, based on harvester location data, can be utilized when verifying preservation of the high biodiversity value areas, and also other areas that are recorded in spatial data. Based on the observations of this study, it is possible to develop an automated recognition method for high biodiversity value areas, when spatial analysis of datasets in vector format is automated. The positioning accuracy of harvester and the automated method for delineating harvested stands are still causing some challenges when interpreting the results. Also, timeliness and accuracy of the available data of high biodiversity value areas affect on the results of the automated method. To combine different data sources effectively, a data platform is needed in order to use the automated method fluently. The recognition method for high biodiversity value areas can be utilized, for example, when reporting the quality of harvesting work. In addition, the method can be utilized in targeting and minimizing the amount of field inventories when verifying new areas of high biodiversity value. The method enables collecting information and automated monitoring of how the nature management has been integrated into forest management operations in practice. That information contributes to the utilization of forests in economically and ecologically sustainable way.