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This paper presents a new approach to climate change impact and adaptation analysis within a risk framework. We test the feasibility of applying impact models for representing three aspects of potential relevance for policy: (i) sensitivity – examining the sensitivity of the sectors to changing climate for readily observable indicators; (ii) urgency – estimating risks of approaching or exceeding critical thresholds of impact under alternative scenarios as a basis for determining urgency of response; and (iii) response – determining the effectiveness of potential adaptation and mitigation responses. By working with observable indicators, the approach is also amenable to long-term monitoring as well as evaluation of the success of adaptation, where this too can be simulated. The approach involves the construction of impact response surfaces (IRSs) based on impact model simulations, using sectoral impact models that are also capable of simulating some adaptation measures. An IRS is constructed from an analysis of the modelled sensitivity of an impact indicator of interest to systematic changes in key drivers (e.g. temperature and precipitation) and the resulting impact variable is plotted as a surface comprising contour lines of equal response over a wide range of perturbations. This facilitates analysis of model behaviour across many possible future conditions. IRSs can also be combined with probabilistic projections of climate change to estimate the likelihood of exceeding certain critical thresholds of impact. An important step here is the identification of such critical thresholds, which are meaningful limits of tolerance for the functioning of the system and typically requiring expert advice from key stakeholders. Two examples are shown that illustrate the types of analyses to be undertaken and their potential outputs: risks of crop yield shortfall in Finland (Pirttioja et al. 2019) and impact risks for water management in a Portuguese reservoir (Fronzek et al., in prep.). Three challenges require special attention in this new modelling exercise: (a) ensuring the salience and credibility of the modelling conducted, through engagement with relevant stakeholders, (b) co-exploration of the capabilities of current impact models and the need for improved representation of adaptation and (c) co-identification of critical thresholds for key impact indicators and effective representation of uncertainties. The approach is currently being tested at national scale in Finland in the Adapt-FIRST project (https://www.syke.fi/projects/adapt-first), using models of water resources, agriculture, forest productivity, nature recreation and human health to address multiple climate-related hazards such as droughts, floods, heat and forest fires and their interaction with mean changes in climate. Impact likelihoods will be estimated for regions in Finland, contributing to a national risk assessment to support adaptation policies. This approach could be a useful device for indicating the level of urgency for action, whether by adaptation to ameliorate the risk or mitigation to avert the hazard. ReferencesFronzek et al. (in prep.) Estimating impact likelihoods from probabilistic projections of climate and socio-economic change using impact response surfaces.Pirttioja et al. (2019) Using impact response surfaces to analyse the likelihood of impacts on crop yield under probabilistic climate change. Agr Forest Meteorol 264:213-224.

The challenges posed by climate change and biodiversity loss are deeply interconnected. Successful co-managing of these tangled drivers requires innovative methods that can prioritize and target management actions against multiple criteria, while also enabling cost-effective land use planning and impact scenario assessment. This paper synthesises the development and application of an integrated multidisciplinary modelling and evaluation framework for carbon and biodiversity in forest systems. By analysing and spatio-temporally modelling carbon processes and biodiversity elements, we determine an optimal solution for their co-management in the study landscape. We also describe how advanced Earth Observation measurements can be used to enhance mapping and monitoring of biodiversity and ecosystem processes. The scenarios used for the dynamic models were based on official Finnish policy goals for forest management and climate change mitigation. The development and testing of the system were executed in a large region in southern Finland (Kokemäenjoki basin, 27 024 km2) containing highly instrumented LTER (Long-Term Ecosystem Research) stations; these LTER data sources were complemented by fieldwork, remote sensing and national data bases. In the study area, estimated total net emissions were currently 4.2 TgCO2eq a-1, but modelling of forestry measures and anthropogenic emission reductions demonstrated that it would be possible to achieve the stated policy goal of carbon neutrality by low forest harvest intensity. We show how this policy-relevant information can be further utilised for optimal allocation of set-aside forest areas for nature conservation, which would significantly contribute to preserving both biodiversity and carbon values in the region. Biodiversity gain in the area could be increased without a loss of carbon-related benefits. The challenges posed by climate change and biodiversity loss are deeply interconnected. Successful co-managing of these tangled drivers requires innovative methods that can prioritize and target management actions against multiple criteria, while also enabling cost-effective land use planning and impact scenario assessment. This paper synthesises the development and application of an integrated multidisciplinary modelling and evaluation framework for carbon and biodiversity in forest systems. By analysing and spatio-temporally modelling carbon processes and biodiversity elements, we determine an optimal solution for their co-management in the study landscape. We also describe how advanced Earth Observation measurements can be used to enhance mapping and monitoring of biodiversity and ecosystem processes. The scenarios used for the dynamic models were based on official Finnish policy goals for forest management and climate change mitigation. The development and testing of the system were executed in a large region in southern Finland (Kokemäenjoki basin, 27,024 km2) containing highly instrumented LTER (Long-Term Ecosystem Research) stations; these LTER data sources were complemented by fieldwork, remote sensing and national data bases. In the study area, estimated total net emissions were currently 4.2 TgCO2eq a−1, but modelling of forestry measures and anthropogenic emission reductions demonstrated that it would be possible to achieve the stated policy goal of carbon neutrality by low forest harvest intensity. We show how this policy-relevant information can be further utilized for optimal allocation of set-aside forest areas for nature conservation, which would significantly contribute to preserving both biodiversity and carbon values in the region. Biodiversity gain in the area could be increased without a loss of carbon-related benefits.

Mapping of ecosystem services (ESs) provide valuable information on the geographical variation of ESs and their relation to overall diversity. Although the relationship between biodiversity and ESs has been intensively explored, little is known how geodiversity (i.e., variety of geological, geomorphological and soil features) is associated with different ESs. We studied 1) the spatial variation of geodiversity and biodiversity in relation to six ESs (i.e., forest carbon budget, potential supply of groundwater, milk and meat production, crop production, amount of free-time residences and nationally valuable landscapes) using variation partitioning (VP), and 2) the spatial overlap between geodiversity and biodiversity and ESs using generalized additive models (GAM) in 1006 intensively surveyed grid cells of 100 km2 located across Finland. In the VP, biodiversity independently explained more of the variation than geodiversity for majority of the ESs. However, shared explanation ability of biodiversity and geodiversity was considerable for majority of ESs (forest carbon budget: 41.3%, crop production: 15.0%, free-time residences: 15.2% and valuable landscapes: 7.3%), often exceeding that of both independent contributions. GAMs indicated that increase in both biodiversity and geodiversity enhances forest carbon budget (D2 = 66.8% and 12.4%, respectively), potential production of groundwater (8.3% and 0.1%), crop production (35.7% and 8.9%), free-time residences (40.0% and 7.9%) and valuable landscapes (11.6% and 6.9%). However, the positive relationship between diversity and ESs levelled off for many of the ESs. Our findings suggest that geodiversity is an important complementing factor in explaining spatial variation of the ESs in high-latitude regions. We also found dominantly synergic effects between abiotic diversity and ESs. Thus, our study results highlight the need to more deeply incorporate abiotic diversity into ESs research. Environmental conservation and management would benefit from the more comprehensive integration of geodiversity to ESs research along with the changing environmental conditions of future decades.

The carbon (C) cycle of forests produces ecosystem services (ES) such as climate regulation and timber production. Mapping these ES using simple land cover -based proxies might add remarkable inaccuracy to the estimates. A framework to map the current status of the C budget of boreal forested landscapes was developed. The C stocks of biomass and soil and the annual change in these stocks were quantified in a 20 × 20 m resolution at the regional level on mineral soils in southern Finland. The fine-scale variation of the estimates was analyzed geo-statistically. The reliability of the estimates was evaluated by comparing them to measurements from the national multi-source forest inventory. The C stocks of forests increased slightly from the south coast to inland whereas the changes in these stocks were more uniform. The spatial patches of C stocks were larger than those of C stock changes. The patch size of the C stocks reflected the spatial variation in the environmental conditions, and that of the C stock changes the typical area of forest management compartments. The simulated estimates agreed well with the measurements indicating a good mapping framework performance. The mapping framework is the basis for evaluating the effects of forest management alternatives on C budget at high resolution across large spatial scales. It will be coupled with the assessment of other ES and biodiversity to study their relationships. The framework integrated a wide suite of simulation models and extensive inventory data. It provided reliable estimates of the human influence on C cycle in forested landscapes.

Land-use environmental impacts are gaining attention as global demand for land is increasing. Human appropriation of net primary production (HANPP) is a useful measure to estimate how much of the net primary production (NPP) available for ecosystem processes is appropriated by humans annually. It accounts for the NPP extracted by biomass harvest, and the NPP losses due to land conversion. Finland is a forested country with good availability of detailed data for calculating HANPP. We estimated HANPP for Finland for a period from 1990 to 2010. Human appropriation of net primary production in Finland was on average 59% of the potential net primary production during the 1990's and then decreased fairly steadily to 50% in 2010. Net primary production harvested by humans, HANPP harv , remained fairly constant over the study period, on average 25 Mt carbon. HANPP due to land use change (HANPP luc ) decreased from 50 Mt to 38 Mt carbon during the past 20 years. The difference between the actual NPP of forests and the potential NPP without any human intervention decreased, mainly due to the growth of wood biomass stock in forests yielding larger amounts of litter production and further larger NPP. Forest HANPP luc , however contributed as much as 50% of the Finnish total HANPP in 2010. Our study shows for the first time the importance of calculating potential NPP for forests in detail.

VTT’s Fabry-Perot interferometers (FPI) technology enables creation of small and cost-efficient microspectrometers and hyperspectral imagers – these robust and light-weight sensors are currently finding their way into a variety of novel applications, including emerging medical products, automotive sensors, space instruments and mobile sensing devices. This presentation gives an overview of our core FPI technologies with current advances in generation of novel sensing applications including recent mobile technology demonstrators of a hyperspectral iPhone and a mobile phone CO2 sensor, which aim to advance mobile spectroscopic sensing.

We report on preparatory work to develop a virtual laboratory for ecosystem services, ESLab, and demonstrate its pilot application in southern Finland. The themes included in the pilot are related to biodiversity conservation, climate mitigation and eutrophication mitigation. ESLab is a research environment for ecosystem services (ES), which considers ES indicators at different landscape scales: habitats, catchments and municipalities and shares the results by a service that utilizes machine readable interfaces. The study area of the pilot application is situated in the boreal region of southern Finland and covers 14 municipalities and ten catchments including forested, agricultural and nature conservation areas. We present case studies including: present carbon budgets of natural ecosystems; future carbon budgets with and without the removal of harvest residues for bioenergy production; and total phosphorus and nitrogen future loads under climate and agricultural yield and price scenarios. The ESLab allows researchers to present and share the results as visual maps, statistics and graphs. Our further aim is to provide a toolbox of easily accessible virtual services for ES researchers, to illustrate the comprehensive societal consequences of multiple decisions (e.g. concerning land use, fertilisation or harvesting) in a changing environment (climate, deposition).

The pool of soil organic carbon (SOC) in Finnish croplands has declined during recent decades according to nation-wide soil inventories, but reasons for this trend remain unclear. We studied the possible reasons using an approach based on the Yasso07 soil carbon model. We evaluated also the suitability of this approach for estimating the pool and changes of SOC in boreal croplands at the regional scale. The simulated SOC pool declined in each of the four study regions we divided the country into over the entire study period from 1900 to 2009. During the last 35 years, the mean estimate of the decrease rate varied from 0.29 to 0.36 Mg ha − 1 year − 1 among the regions. The mean estimate of the SOC pool in the croplands varied from 92 to 124 Mg ha − 1 at the end of the study period. In a sensitivity analysis, the estimates of the decrease rate slowed down by 25% or accelerated by 38% at most, whereas the pool estimates increased or decreased by 18% at most. According to our simulations and the sensitivity analysis, the SOC pool declined because croplands produced less litter than pre-cropland forests and this agricultural litter decomposed more rapidly. On the other hand, climate warming has not been a significant reason for the decline yet. Increasing carbon input to the cropland soil by applying organic manure and avoiding bare fallow are means to slow down the loss of SOC. The simulated estimates were similar to measurement-based ones available for comparison. We concluded that our approach was suitable for studying the reasons for the declining trend of SOC and the major uncertainties were caused by inexact input values.

Michael A. Tueller: Look who’s talking. Innovations in voice and identity in Hellenistic epigram. Leuven/Paris/Dudley, MA: Peeters 2008. 231 S. (Hellenistica Groningana 13.)

This paper presents near- and mid- infrared (NIR-MIR) wavelength range optical MEMS Fabry-Perot interferometers (FPIs) developed for automotive and multi-gas sensing applications. MEMS FPI platform for NIR-range consist of LPCVD (low-pressure chemical vapour) deposited polySi-SiN λ/4-thin film Bragg reflectors, with the air gap formed by sacrificial SiO2 etching in HF vapour. Characterization results for the NIR MFPI devices for λ = 1.5 - 2.0 μm show resolution of 15 nm at the optimization wavelength of 1750 nm. We also present a MIR-range MEMS FPI for λ = 2.5 - 3.5 μm, which utilizes silicon and air in within the Bragg reflector structure to provide a high contrast for improved resolution. Characterization results show a FWHM (Full Width Half Maximum) of 20 nm in comparison to the 50 nm resolution provided by earlier MEMS FPIs realized for hydrocarbon sensing with conventional CVD-thin film materials. The improved resolution and the extended operation region shows potential to enable simultaneous sensing of CO2 and multiple hydrocarbons.

PICASSO - A PICo-satellite for Atmospheric and Space Science Observations is an ESA project led by the Belgian Institute for Space Aeronomy, in collaboration with VTT Technical Research Centre of Finland Ltd, Clyde Space Ltd. (UK) and Centre Spatial de Liège (BE). The test campaign for the engineering model of the PICASSO VISION instrument, a miniaturized nanosatellite spectral imager, has been successfully completed. The test results look very promising. The proto-flight model of VISION has also been successfully integrated and it is waiting for the final integration to the satellite platform. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

We present a new approach for radiometric calibration of light detection and ranging (LIDAR) intensity data and demonstrate an application of this method to natural targets. The method is based on 1) using commercially available sand and gravel as reference targets and 2) the calibration of these reference targets in the laboratory conditions to know their backscatter properties. We have investigated the target properties crucial for accurate and consistent reflectance calibration and present a set of ideal targets easily available for calibration purposes. The first results from LIDAR-based brightness measurement of grass and sand show that the gravel-based calibration approach works in practice, is cost effective, and produces statistically meaningful results: Comparison of results from two separate airborne laser scanning campaigns shows that the relative calibration produces repeatable reflectance values.

This paper presents a novel MOEMS Fabry-Perot interferometer (FPI) process platform for the range of 800–1050 nm. Simulation results including design and optimization of device properties in terms of transmission peak width, tuning range and electrical properties are discussed. Process flow for the device fabrication is presented, with overall process integration and backend dicing steps resulting in successful fabrication yield. The mirrors of the FPI consist of LPCVD (low-pressure chemical vapor) deposited polySi-SiN λ/4-thin film Bragg reflectors, with the air gap formed by sacrificial SiO2 etching in HF vapor. Silicon substrate below the optical aperture is removed by inductively coupled plasma (ICP) etching to ensure transmission in the visible – near infra-red (NIR), which is below silicon transmission range. The characterized optical properties of the chips are compared to the simulated values. Achieved optical aperture diameter size enables utilization of the chips in both imaging as well as single-point spectral sensors.

We studied how a surface-micromachined Fabry-Perot interferometer, realized with Si / air-gap distributed Bragg reflectors, would perform at the middle-infrared wavelengths. Compared with traditional solid-film pairs, this Si-FPI technology features better index contrast, which enables wider stop band and potentially higher resolution. Four different designs of interferometers were prepared and compared. Two designs apply the solid-film reflectors of Si/SiO 2 structure. Their data is exploited as a reference of a middle-infrared interferometer and, as a template for mapping the performance from the simulation results to the measured data. The third design operates at the thermal infrared and it was our first embodiment with the Si/air-gap mirrors. The performance, reported earlier, is here referred to for estimating the technology scalability down to shorter wavelengths. Finally, we realized a non-tunable proof-of-concept version of the Si/air-gap technology for middle infrared. The measured data is mapped into an estimate of the achievable performance of a tunable version. We present the transmission and resolution data and argument the simulation models that reproduce the data. The prediction for the tunable middle-infrared Si-FPI is then presented. The results indicate that such a device is expected to have two-fold better resolution and a clearly wider stop band, compared with the prior art.

VTT Technical Research Centre of Finland has developed Tunable Fabry-Perot Interferometer (FPI) based miniaturized hyperspectral imager which can be operated from light weight Unmanned Aerial Vehicles (UAV). The concept of the hyperspectral imager has been published in the SPIE Proc. 7474, 8174 and 8374. This instrument requires dedicated laboratory and on-board calibration procedures which are described. During summer 2012 extensive UAV Hyperspectral imaging campaigns in the wavelength range 400 - 900 nm at resolution range 10 - 40 nm @ FWHM were performed to study forest inventory, crop biomass and nitrogen distributions and environmental status of natural water applications. The instrument includes spectral band limiting filters which can be used for the on-board wavelength scale calibration by scanning the FPI pass band center wavelength through the low and high edge of the operational wavelength band. The procedure and results of the calibration tests will be presented. A short summary of the performed extensive UAV imaging campaign during summer 2012 will be presented.

We developed a surface-micromachined tunable Fabry–Pérot interferometer for the thermal infrared spectral range of wavelengths 7–12 µm. In this paper, we present the device performance in terms of the optical transmission and the tunability. The device represents the first layout that proved successful in terms of the manufacturing process yield (about 80%). The optical transmission over the wavelengths from 3 to 20 µm is presented with the emphasis on analysing the first-order transmission peak. The transmission band width and the peak height are compared using the existing theory for this type of an interferometer. The deviation from an ideal performance is resolved and partly explained through the known structural unidealities.

New tuneable MOEMS filters have been developed to cover the spectral range from 400 to 750 nm. Compared with previous MEMS based visible light filters, these Fabry-Perot Interferometers (FPIs) have increased transmission (90%), spectral resolution of ∼ 4 to 9 nm, and larger aperture diameter (2 mm), which allows them to be used in spectral imaging devices. We present the fabrication process and characterization of tuneable MOEMS FPIs for central wavelengths of λ = 420 nm and λ = 670 nm. Miniature imaging spectrometers have potential novel applications in diagnostics and health care, bioprocess, and environmental monitoring, process analytical instrumentation, and water-quality analysis.

For candy cones and layer cakes: The use of translations according to Swedish translators of classical literature from the first fifty years of the 18th century.This is a study of prefaces and dedications to Swedish translations of Greek and Roman literature from the first fifty years of the eighteenth century. The introductory paratexts of this period are highly homogenous. Most cover the following five topoi: the importance of the chosen text is specified; the text and author are introduced; the usefulness of the translation is discussed; the principles of translation are touched upon; and, in conclusion, translators anticipate and try to deflect criticism of their work. Not only are the same topoi found in most translatory prefaces and dedications, but are moreover often filled with very similar arguments. The focus of this study is on the most central topos, that of the usefulness of the translation. As a rule, during this period translators tended toward utilitarian arguments to justify their translations. The use could be argued (1) to be the moral value of the text, (2) to help students to learn Latin and, to a lesser extent, Greek, (3) to make the subject-matter of the texts available to readers with no Greek or Latin, or (4) to further the development of the Swedish language and poetry. These utilitarian arguments are illustrated with quotations from the translatory paratexts and discussed with reference to contemporary debates.

In many hyperspectral applications it is beneficial to produce 2D spatial images with a single exposure at a few selected wavelength bands instead of 1D spatial and all spectral band images like in push-broom instruments. VTT has developed a new concept based on the Piezo actuated Fabry-Perot Interferometer to enable recording of 2D spatial images at the selected wavelength bands simultaneously. The sensor size is compatible with light weight UAV platforms. In our spectrometer the multiple orders of the Fabry-Perot Interferometer are used at the same time matched to the sensitivities of a multispectral RGB-type image sensor channels. We have built prototypes of the new spectrograph fitting inside of a 40 mm x 40 mm x 20 mm envelope and with a mass less than 50 g. The operational wavelength range of built prototypes can be tuned in the range 400 - 1100 nm and the spectral resolution is in the range 5 - 10 nm @ FWHM. Presently the spatial resolution is 480 x 750 pixels but it can be increased simply by changing the image sensor. The hyperspectral imager records simultaneously a 2D image of the scenery at three narrow wavelength bands determined by the selected three orders of the Fabry-Perot Interferometer which depend on the air gap between the mirrors of the Fabry-Perot Cavity. The new sensor can be applied on UAV, aircraft, and other platforms requiring small volume, mass and power consumption. The new low cost hyperspectral imager can be used also in many industrial and medical applications.

The mechanical properties of a silicone tube blood vessel phantom (outer radius 4.04±0.04 mm and wall thickness 1.00±0.02 mm) carrying in‐plane ultrasound wave propagation, was studied as function of applied axial tension. A 23 kHz, 1‐cycle square signal was excited into the tube with a piezoceramic pickup and received with an inductive pickup. The wave phase velocities in the tube were determined by measuring the time‐of‐flight (TOF) at different inter‐transducer distances. The longitudinal mode sound velocity ranged from 83 m/s to 88 m/s, and from 51 m/s to 58 m/s for the shear mode respectively with tensions ranging from 31 to 364 kPa. This compares with the FEM estimate. A laser‐Doppler vibrometer (LDV) detected an out‐of‐plane mode propagating along the tube. An increase in the sound velocity caused by artificially induced lesions was detected.

We studied how a micromachined Fabry–Perot interferometer, realized with wide point-anchored Si/air-gap reflectors, performs at the middle-infrared. A computational analysis of the anchor mechanical behavior is also presented. Compared with solid-film reflectors, this technology features better index contrast, which enables a wider stop band and potentially higher resolution. In this work, we investigate whether the performance is improved according to the index-contrast benefit, or whether the mechanical differences play a role. For comparison, we manufactured and characterized another design that applies solid-film reflectors of Si/SiO2 structure. This data is exploited as a reference for a middle-infrared interferometer and as a template for mapping the performance from the simulation results to the measured data. The novel Si/air-gap device was realized as a non-tunable proof-of-concept version. The measured data is mapped into an estimate of the achievable performance of a tunable version. We present the measured transmission and resolution data and compare the simulation models that reproduce the data. The prediction for the tunable middle-infrared Si/air-gap device is then presented. The results indicate that the interferometer’s resolution is expected to have improved twofold and have a much wider stop band compared with the prior art.