https://researchdata.se/en/catalogue Search results en The data set include a list of sample trees ≥10 cm DBH from the Swedish National Forest Inventory. Individual sample trees measured and cored within a ten metre wide transect during the 1923-1929 survey or circular sample plots during the 1953-1962, 1983-1992, and 2013-2022 surveys are included. The 10 cm threshold was used to exclude smaller diameter trees measured on small parts of sections or plots. Variables include cluster and plot ID, tree species, diameter, tree age at breast height and total tree age, land-cover class and expansion factors for estimation of number of trees and volumes. The current NFI is based on an annual sample of about 20,000 circular plots, grouped into clusters, of which about 12,000 are surveyed in the field each year. Data for additional sample trees and more variables for individual sample trees can be obtained from the Swedish National Forest Inventory. More details are presented in the article, see Jacobsson, Jonas, Fridman, Jonas, Axelsson, Anna-Lena, Milberg, Per (2025). An aging population? A century of change among Swedish forest trees. Forest Ecology and Management. 580:122509. https://doi.org/10.1016/j.foreco.2025.122509 The data file contains 17 columns and 384790 rows. Tue, 04 Feb 2025 14:36:00 GMT https://researchdata.se/en/catalogue/dataset/2024-639 https://researchdata.se/en/catalogue/dataset/2024-639 Swedish University of Agricultural Sciences Jonas Fridman Anna-Lena Axelsson The data set contains measurement data collected during a factorial day length x warming experiment on Norway spruce (Picea abies (L.) H. Karst) cuttings of two geographical origins. The cuttings were exposed to combinations of long (20 hours of daylight) or short (14 hours of daylight) days and warm (25/20 °C day/night) and cool (15/10 °C day/night) growing conditions for three months in growth chambers. Collected data include gas exchange variables measured using a Li-Cor 6400 portable photosynthesis system for determination of light response curves and photosynthetic responses to differing intercellular CO2 concentrations (A-Ci curves). Needle properties including leaf mass per area and nitrogen content were determined. In addition, the height growth of the cuttings and the rate of bud development was observed under the different treatment conditions. The data set is divided into five files: 1) Definitions of the variables names and units used in the data files 2) Gas exchange data for generating light response curves 3) Gas exchange data for generating A-Ci curves 4) Needle property data, which also includes data on tree origin 5) Height growth and bud development data Wed, 24 Sep 2025 10:31:40 GMT https://researchdata.se/en/catalogue/dataset/2025-218 https://researchdata.se/en/catalogue/dataset/2025-218 University of Gothenburg Astrid Fridell Göran Wallin Curt Almqvist Lasse Tarvainen Inventories of forest damage are carried out within the Swedish University of Agricultural Sciences (SLU) Forests programme. An annual monitoring of the most important sources of forest damage is carried out by the Swedish National Forest inventory (NFI). Although the Swedish NFI is an objective and uniform inventory of forest damage in Swedish forests at national and regional scales, less common or less widespread occurrences of forests pests and pathogens are difficult to survey solely through large-scale monitoring programmes. There is a need for complementary inventories to facilitate timely delivery of relevant information. Thus Target-tailored forest damage inventories (TFDI) aiming at providing data for operational decisions making at local level, and linked to specific damage events were introduced. TFDI’s are developed to give rapid response to requested information of specific damage outbreaks. The TFDIs are carried out in limited and concentrated samples, with flexible but robust methods and design. The data collected in the TFDI shall also be of such quality that it can be useful in research. During 2021 TFDI carried out a sample inventory of the volume Norway spruce (Picea abies) damage by European spruce bark beetle (Ips typographus) in older spruce forest in the region of Götaland excluding Gotland and Svealand excluding Dalarna. This as a follow-up to the extremely hot and dry summer in 2018, which resulted in many drought stressed spruce trees that favored the spruce bark beetle. The spruce bark beetle populations, which were already high before, increased rapidly and have in recent years caused extensive damage to spruce in Götaland och Svealand. This year´s inventory is a follow-up to the inventory carried out in 2020. The inventory includes both standing infested trees as well as infested wind-felled trees and stumps from felled infested trees. The purpose of the inventory was to estimate the volume Norway spruce damage by the given bark beetles, but also to highlight geographical distribution and the appearance of the damage in different forest sites. The results from the inventory should be available for decisions making basis in forestry managements. The inventory was stratified by an objective sample of all the National Forest Inventory permanent sample plots in Götaland and Svealand. Included plots within the sample was all older thinning forest and final felling mature forest consisting of at least 7/10 proportion of spruce. For the selection of plots LPM (local pivotal method, Grafström et al) is used where the selection was spread based on the geographical position and the spruce volume of the sample plots. The radii of sample plots used for the damage inventory was 20 m, the area which was included for the described site. This means that the inventoried area was smaller than during the 2020 inventory, when the radius was 25 m. Other parts of the plot were not included in the inventory. The inventory in 2021 includes both trees with fresh infestations (season 0) and trees infested last year (season 1) by the spruce bark beetle. Diameter at breast height was measured on damage trees and wind-felled trees. Diameter on stump from cut trees with fresh damage was measured. The dataset consist at plot level of 711 rows with 28 column, at tree level (season 0) of 399 rows with 16 columns and at tree level (season 1) of 270 rows with 12 columns. Data on inventory date has been lost. The content and scope of the inventory has been developed in consultation with Swedish Forest Agency. References: Grafström, A., Lundström, N., & Schelin, L. Spatially Balanced Sampling through the Pivotal Method. Biometrics, 68(2), 514-520. Retrieved December 1, 2020, from https://doi.org/10.1111/j.1541-0420.2011.01699.x Some assessed and used variables: At sample plot level: Plot area measured The proportion of spruce at the sample plot Maturity class Number of infested trees Logging Sanitation At tree level season 0: Is the tree dead or alive? Position of tree – standing, wind-felled, stump Diameter at breast height Tree volume At tree level season 1: Diameter at breast height Tree volume See the document "Data_description" for more detailed information. As additional documentation, field instructions for the inventories are also provided, both for the specific inventory and for the National Forest Inventory (NFI). Fri, 07 Nov 2025 13:30:50 GMT https://researchdata.se/en/catalogue/dataset/2025-282 https://researchdata.se/en/catalogue/dataset/2025-282 Swedish University of Agricultural Sciences Sören Wulff Cornelia Roberge Inventories of forest damage are carried out within the Swedish University of Agricultural Sciences (SLU) Forests programme. An annual monitoring of the most important sources of forest damage is carried out by the Swedish National Forest inventory (NFI). Although the Swedish NFI is an objective and uniform inventory of forest damage in Swedish forests at national and regional scales, less common or less widespread occurrences of forests pests and pathogens are difficult to survey solely through large-scale monitoring programmes. There is a need for complementary inventories to facilitate timely delivery of relevant information. Thus Target-tailored forest damage inventories (TFDI) aiming at providing data for operational decisions making at local level, and linked to specific damage events were introduced. TFDI’s are developed to give rapid response to requested information of specific damage outbreaks. The TFDIs are carried out in limited and concentrated samples, with flexible but robust methods and design. The data collected in the TFDI shall also be of such quality that it can be useful in research. During 2020 TFDI carried out a sample inventory of the volume Norway spruce (Picea abies) damage by European spruce bark beetle (Ips typographus) in older spruce forest in the region of Götaland and Svealand excluding Gotland and Dalarna. This as a follow-up to the extremely hot and dry summer in 2018, which resulted in many drought stressed spruce trees that favored the spruce bark beetle. The spruce bark beetle populations, which were already high before, increased rapidly and have in recent years caused extensive damage to spruce in Götaland och Svealand. The inventory includes both standing infested trees as well as infested wind-felled trees and stumps from felled infested trees. The purpose of the inventory was to estimate the volume Norway spruce damage by the given bark beetles, but also to highlight geographical distribution and the appearance of the damage in different forest sites. The results from the inventory should be available for decisions making basis in forestry managements. The inventory was stratified by an objective sample of all the National Forest Inventory permanent sample plots in Götaland and Svealand. Included plots within the sample was all older thinning forest and final felling mature forest consisting of at least 7/10 proportion of spruce. For the selection of plots LPM (local pivotal method, Grafström et al 2012) is used where the selection was spread based on the geographical position and the spruce volume of the sample plots. The radii of sample plots use for the damage inventory was 25 m, the area which was included for the described site. Other parts of the plot were not included in the inventory. The inventory only includes trees with fresh infestations (season 0) from infestations of the spruce bark beetle. Diameter at breast height was measured on damage trees and wind-felled trees. Diameter on stump from cut trees with fresh damage was measured. The dataset consist at plot level of 653 rows with 30 column, at tree level of 621 rows with 16 columns. The content and scope of the inventory has been developed in consultation with Swedish Forest Agency. References: Grafström, A., Lundström, N., & Schelin, L. (2012). Spatially Balanced Sampling through the Pivotal Method. Biometrics, 68(2), 514-520. Retrieved December 1, 2020, from https://doi.org/10.1111/j.1541-0420.2011.01699.x Some assessed and used variables: At sample plot level: Plot area measured The proportion of spruce at the sample plot Maturity class Number of infested trees Logging Sanitation At tree level: Is the tree dead or alive? Position of tree – standing, wind-felled, stump Diameter at breast height Tree volume See the document "Data_description" for more detailed information. As additional documentation, field instructions for the inventories are also provided, both for the specific inventory and for the National Forest Inventory (NFI). An English version of the National Forest Inventory field instruction is available for year 2021 only, which is why this is included here. Mon, 29 Sep 2025 13:02:35 GMT https://researchdata.se/en/catalogue/dataset/2025-168 https://researchdata.se/en/catalogue/dataset/2025-168 Swedish University of Agricultural Sciences Sören Wulff Cornelia Roberge Inventories of forest damage are carried out within the Swedish University of Agricultural Sciences (SLU) Forests programme. An annual monitoring of the most important sources of forest damage is carried out by the Swedish National Forest inventory (NFI). Although the Swedish NFI is an objective and uniform inventory of forest damage in Swedish forests at national and regional scales, less common or less widespread occurrences of forests pests and pathogens are difficult to survey solely through large-scale monitoring programmes. There is a need for complementary inventories to facilitate timely delivery of relevant information. Thus Target-tailored forest damage inventories (TFDI) aiming at providing data for operational decisions making at local level, and linked to specific damage events were introduced. TFDI’s are developed to give rapid response to requested information of specific damage outbreaks. The TFDIs are carried out in limited and concentrated samples, with flexible but robust methods and design. The data collected in the TFDI shall also be of such quality that it can be useful in research. During 2023 TFDI carried out a sample inventory of the volume Norway spruce (Picea abies) damage by European spruce bark beetle (Ips typographus) and/or damage by Four eyed spruce bark beetle (Polygraphus poligraphus) in older spruce forest. The inventory were conducted in the region of eastern Götaland (county of Östergötland, Kronoberg, Kalmar and Blekinge) and in Svealand in the county Södermanland, Örebro, Västmanland, Stockholm, Uppsala, Värmland and southern part of Dalarnas (municipality of Ludvika, Avesta, Hedemora, Falun, Smedjebacken, Leksand, Gagnef och Vansbro) and in the southern part of Gävleborgs region (Gästrikland). This as a follow-up to the extremely hot and dry summer in 2018, which resulted in many drought stressed spruce trees that favored the spruce bark beetle. The spruce bark beetle populations, which were already high before, increased rapidly and have in recent years caused extensive damage to spruce in Götaland och Svealand. This year´s inventory is a follow-up to the inventories carried out in 2020, 2021 and 2022. The inventory includes both standing infested trees as well as infested wind-felled trees and stumps from felled infested trees. The purpose of the inventory was to estimate the volume Norway spruce damage by the given bark beetles, but also to highlight geographical distribution and the appearance of the damage in different forest sites. The results from the inventory should be available for decisions making basis in forestry managements. The inventory was stratified by an objective sample of all the National Forest Inventory permanent sample plots in Götaland and Svealand. Included plots within the sample was all older thinning forest and final felling mature forest consisting of at least 7/10 proportion of spruce. For the selection of plots LPM (local pivotal method, Grafström et al) is used where the selection was spread based on the geographical position and the spruce volume of the sample plots. The radii of sample plots used for the damage inventory was 20 m, the area which was included for the described site. This means that the inventoried area was smaller than during the 2020 inventory, when the radius was 25 m. Other parts of the plot were not included in the inventory. The inventory in 2023 includes both trees with fresh infestations (season 0) by the European spruce bark beetle and/or damage by Four eyed spruce bark beetle and trees infested last year (season 1) by the European spruce bark beetle. Diameter at breast height was measured on damage trees and wind-felled trees. Diameter on stump from cut trees with fresh damage was measured. From 2022, the sample was expanded in order to possibly provide reliable estimates at the county level. In 2023, the inventory was limited to the eastern parts of Götaland, as previous years' inventories showed declining damage in western Götaland. However, the area in the north was expanded to include southern Dalarna and southern Gävleborg counties after indications of increased damage in these areas. In 2023, fresh infestations by the four eyed spruce bark beetle were also included after reports of increased damage by this bark beetle species as well. The dataset consist at plot level of 1142 rows with 28 columns, at tree level (season 0) of 292 rows with 16 columns and at tree level (season 1) of 350 rows with 12 columns. The content and scope of the inventory has been developed in consultation with Swedish Forest Agency. References: Grafström, A., Lundström, N., & Schelin, L. Spatially Balanced Sampling through the Pivotal Method. Biometrics, 68(2), 514-520, https://doi.org/10.1111/j.1541-0420.2011.01699.x Some assessed and used variables: At sample plot level: Plot area measured The proportion of spruce at the sample plot Maturity class Number of infested trees Logging Sanitation At tree level season 0: Is the tree dead or alive? Position of tree – standing, wind-felled, stump Diameter at breast height Tree volume At tree level season 1: Diameter at breast height Tree volume See the document "Data_description" for more detailed information. As additional documentation, field instructions for the inventories are also provided, both for the specific inventory and for the National Forest Inventory (NFI). An English version of the National Forest Inventory field instruction is available for year 2021 only, which is why this is included here. Thu, 16 Apr 2026 14:52:10 GMT https://researchdata.se/en/catalogue/dataset/2026-71 https://researchdata.se/en/catalogue/dataset/2026-71 Swedish University of Agricultural Sciences Sören Wulff Cornelia Roberge Inventories of forest damage are carried out within the Swedish University of Agricultural Sciences (SLU) Forests programme. An annual monitoring of the most important sources of forest damage is carried out by the Swedish National Forest inventory (NFI). Although the Swedish NFI is an objective and uniform inventory of forest damage in Swedish forests at national and regional scales, less common or less widespread occurrences of forests pests and pathogens are difficult to survey solely through large-scale monitoring programmes. There is a need for complementary inventories to facilitate timely delivery of relevant information. Thus Target-tailored forest damage inventories (TFDI) aiming at providing data for operational decisions making at local level, and linked to specific damage events were introduced. TFDI’s are developed to give rapid response to requested information of specific damage outbreaks. The TFDIs are carried out in limited and concentrated samples, with flexible but robust methods and design. The data collected in the TFDI shall also be of such quality that it can be useful in research. During 2022 TFDI carried out a sample inventory of the volume Norway spruce (Picea abies) damage by European spruce bark beetle (Ips typographus) in older spruce forest in the region of Götaland excluding Gotland and Svealand excluding Dalarna. This as a follow-up to the extremely hot and dry summer in 2018, which resulted in many drought stressed spruce trees that favored the spruce bark beetle. The spruce bark beetle populations, which were already high before, increased rapidly and have in recent years caused extensive damage to spruce in Götaland och Svealand. This year´s inventory is a follow-up to the inventories carried out in 2020 and 2021. The inventory includes both standing infested trees as well as infested wind-felled trees and stumps from felled infested trees. The purpose of the inventory was to estimate the volume Norway spruce damage by the given bark beetles, but also to highlight geographical distribution and the appearance of the damage in different forest sites. The results from the inventory should be available for decisions making basis in forestry managements. The inventory was stratified by an objective sample of all the National Forest Inventory permanent sample plots in Götaland and Svealand. Included plots within the sample was all older thinning forest and final felling mature forest consisting of at least 7/10 proportion of spruce. For the selection of plots LPM (local pivotal method, Grafström et al) is used where the selection was spread based on the geographical position and the spruce volume of the sample plots. The radii of sample plots used for the damage inventory was 20 m, the area which was included for the described site. This means that the inventoried area was smaller than during the 2020 inventory, when the radius was 25 m. Other parts of the plot were not included in the inventory. The inventory in 2022 includes both trees with fresh infestations (season 0) and trees infested last year (season 1) by the spruce bark beetle. Diameter at breast height was measured on damage trees and wind-felled trees. Diameter on stump from cut trees with fresh damage was measured. In 2022, the sample was expanded in order to possibly provide reliable estimates at the county level. The dataset consist at plot level of 1310 rows with 28 column, at tree level (season 0) of 509 rows with 16 columns and at tree level (season 1) of 446 rows with 12 columns. Data on inventory date has been lost. The content and scope of the inventory has been developed in consultation with Swedish Forest Agency. References: Grafström, A., Lundström, N., & Schelin, L. Spatially Balanced Sampling through the Pivotal Method. Biometrics, 68(2), 514-520. https://doi.org/10.1111/j.1541-0420.2011.01699.x Some assessed and used variables: At sample plot level: Plot area measured The proportion of spruce at the sample plot Maturity class Number of infested trees Logging Sanitation At tree level season 0: Is the tree dead or alive? Position of tree – standing, wind-felled, stump Diameter at breast height Tree volume At tree level season 1: Diameter at breast height Tree volume See the document "Data_description" for more detailed information. As additional documentation, field instructions for the inventories are also provided, both for the specific inventory and for the National Forest Inventory (NFI). An English version of the National Forest Inventory field instruction is available for year 2021 only, which is why this is included here. Mon, 15 Dec 2025 10:32:27 GMT https://researchdata.se/en/catalogue/dataset/2025-363 https://researchdata.se/en/catalogue/dataset/2025-363 Swedish University of Agricultural Sciences Sören Wulff Cornelia Roberge Fusarium circinatum, a fungal pathogen deadly to many Pinus species, can cause significant economic and ecological losses, especially if it were to become more widely established in Europe. Early detection tools with high-throughput capacity can increase our readiness to implement mitigation actions against new incursions. This study sought to develop a disease detection method based on volatile organic compound (VOC) emissions to detect F. circinatum on different Pinus species. VOCs emitted from four different Fusarium species (Fusarium circinatum, Fusarium graminearum, Fusarium bulbicola and Fusarium oxysporum f.sp. pini) grown on Elliott's media agar (in vitro), and three Pinus species (Pinus radiata, Pinus sylvestris, Pinus pinea) inoculated with either i) Fusarium circinatum or ii) mock treatment (in vivo). The four Fusarium species were grown on media and analysed in order to compare their respective VOCs profiles, while the pinus seedlings were analysed in order to determine whether Fusarium circinatum-inoculated seedlings' VOCs profiles could be distinguished from mock inoculated seedlings. The VOCs were sampled using static headspace sampling, enclosing the samples individually in (relatively inert) high-density poly-ethylene bags along with SPME fibers. Divinylbenzene/carboxen/polydimethylsiloxane SPME fibers needle size was 24 ga, 2 cm long and coated with 30 μm (CAR/PDMS layer), 50 μm (DVB layer) (Merck KGaA, Darmstadt, Germany). Immediately after sampling, the SPME fibers were manually injected through an ultra-inert, splitless, straight, 2 mm liner (Agilent, Santa Clara, USA) on a 6890N GC (Agilent Technologies, Santa Clara, USA) coupled with a 5973 MS (Agilent Technologies, Santa Clara, USA). The column was a HP-5ms ultra inert 60m GC column, 0.25 mm, 0.25 µm, 7 inch cage (Agilent, Santa Clara, USA). A C8-C20 hexane mix (Merck KGaA, Darmstadt, Germany). GC-MS was performed through MSD ChemStation version E.02.02.1431 (Agilent Technologies, Santa Clara, USA) with an initial oven temperature of 50°C, followed by an 8°C/min increase to 100°C, subsequently increasing by 4°C/min to 160°C, a final ramp of 16°C/min to 280°C and hold for 2.5 min. GC-MS data were transformed to .cdf files and processed (ADAP chromatogram builder, chromatogram deconvolution, multivariate curve resolution) and aligned (ADAP aligner) with MZMine 2 (v 2.53). Randomforest was applied to see what (if any) compounds could be useful for distinguishing between mock- or F. circinatum-inoculated seedlings (in vivo), or Fusarium species (in vitro). These compounds were tentatively identified by matching mass spectrometry data and back-calculated retention indices with literature values from authentic standards found in Nist20 and Wiley12 MS databases. The above described pipeline applied here, entailing gas chromatography – mass spectrometry of VOCs, automated data analysis and machine learning, distinguished diseased from healthy seedlings of Pinus sylvestris and Pinus radiata. In P. radiata, this distinction was possible even before the seedlings became visibly symptomatic, suggesting the possibility for this method to identify latently infected, yet healthy looking plants. Pinus pinea, which is known to be relatively resistant to F. circinatum, remained asymptomatic and showed no changes in VOCs over 28 days. In a separate analysis of in vitro VOCs collected from different species of Fusarium, we showed that even closely related Fusarium spp. can be readily distinguished based on their VOC profiles. The results further substantiate the potential for volatilomics to be used for early disease detection and diagnostic recognition. GC-MS data were collected both in vitro (fungal species grown on identical media) and in vivo (pine seedlings inoculated with Fusarium circinatum or mock). This GC-MS data could then be used to compare what volatile compounds were emitted from each sample and, that way, determine whether these "chemical fingerprints" of volatile compound blends differed between fungal species, or sick and healthy pine seedlings, respectively. Each data file therefore contain all the chemical compounds that can be detected by using our instruments (see general description), their mass spectas, relative abundance and retention times. No sorting of these chemical compounds have been performed, nor any other processing of this raw data for publication. The dataset includes GC-MS data according to the Mass Spectrometry Development Kit (MSDK) data model in NetCDF format. Files can be read in software that uses MSDK, such as AMDIS or MZMine. See https://msdk.github.io/ for more possibilities. There are 5 or 6 replicates for each time point and pine species included in the in vivo-analyses. For the in vitro analyses, there are 3 replicates per fusarium species/media blank and time point. All in vivo files are named in the format "#DAABB*" where: # = days post inoculation (7, 14 or 28) D = Days AA = Pine species (Sy=Pinus sylvestris, Ra=Pinus radiata, Pi=Pinus pinea) BB = Inoculation type (Fc=Fusarium circinatum, Mo=Mock inoculation) * = Replicate number (1-6) Example: 14DPiFc4.CDF = Analysed 14 days post inoculation, Pinus pinea inoculated with F. circinatum, replicate number 4. All in vitro files are named in the format "AAAA#*" except the media blank that is named "emabl#*" where: AAAA = Fusarium species (fcir=Fusarium circinatum, fgra=Fusarium graminearum, foxy=Fusarium oxysporum f.sp. pini, fbul=Fusarium bulbicola) # = days post inoculation (7, 14 eller 21) * = replicate number (1-3) Example: fcir72.CDF = Fusarium circinatum, Analysed 7 days post inoculation, replicate number 2 Thu, 15 Dec 2022 13:12:11 GMT https://researchdata.se/en/catalogue/dataset/2022-134-1 https://researchdata.se/en/catalogue/dataset/2022-134-1 Swedish University of Agricultural Sciences Ida Nordström Inventories of forest damage are carried out within the Swedish University of Agricultural Sciences (SLU) Forests programme. An annual monitoring of the most important sources of forest damage is carried out by the Swedish National Forest inventory (NFI). Although the Swedish NFI is an objective and uniform inventory of forest damage in Swedish forests at national and regional scales, less common or less widespread occurrences of forests pests and pathogens are difficult to survey solely through large-scale monitoring programmes. There is a need for complementary inventories to facilitate timely delivery of relevant information. Thus Target-tailored forest damage inventories (TFDI) aiming at providing data for operational decisions making at local level, and linked to specific damage events were introduced. TFDI’s are developed to give rapid response to requested information of specific damage outbreaks. The TFDIs are carried out in limited and concentrated samples, with flexible but robust methods and design. The data collected in the TFDI shall also be of such quality that it can be useful in research. During 2013 TFDI carried out a sample inventory of the volume Norway spruce (Picea abies) damage by bark beetles, Four-eyed spruce bark beetle (Polygrapus poligraphus) and/or European spruce bark beetle (Ips typographus) in older spruce forest in the county of Västernorrland. The inventory included both standing and wind-felled trees. The purpose of the inventory was to estimate the volume Norway spruce damage by the given bark beetles, but also to highlight geographical distribution and the appearance of the damage in different forest sites. The inventory was stratified by an objective sample of all the National Forest Inventory permanent sample plots in the county of Västernorrland. Included plots within the sample was older thinning forest and final felling mature forest consisting of at least 7/10 spruce and a lesser proportion of forest with lesser share of spruce or younger thinning forest. The radii of sample plots use for the damage inventory was 25 m. Diameter at breast height was measured on damage trees and wind-felled trees. Diameter on stump from cut trees with fresh damage was measured. Furthermore species of bark beetle and age of damage was recorded. The inventory was carried out in the same way as in 2011 and 2012, but with the addition that damaged wind-felled trees were included. During 2013 also the variable Edge time was introduced, i. e. when a stand edge within 25 m from plot center occurred. In total 93 plots and 330 trees and 118 wind-felled trees was measured. Some assessed and used variables: At sample plot level: Plot area measured The proportion of spruce at the sample plot Maturity class At tree level: Is the tree dead or alive? Position of tree – standing, wind thrown, stump Diameter at breast height Which species of bark beetle has attacked the tree? Which season did the damage occur? Tree volume At wind-felled tree level: Diameter at breast height Is the tree infested by bark beetle? Which species of bark beetle has attacked the tree? Which season did the tree fell? Tree volume See the document "Data_description" for more detailed information. As additional documentation, field instructions for the inventories are also provided, both for the specific inventory and for the National Forest Inventory (NFI). An English version of the National Forest Inventory field instruction is available for year 2021 only, which is why this is included here. Mon, 03 Feb 2025 14:33:44 GMT https://researchdata.se/en/catalogue/dataset/2024-626 https://researchdata.se/en/catalogue/dataset/2024-626 Swedish University of Agricultural Sciences Sören Wulff Cornelia Roberge Inventories of forest damage are carried out within the Swedish University of Agricultural Sciences (SLU) Forests programme. An annual monitoring of the most important sources of forest damage is carried out by the Swedish National Forest inventory (NFI). Although the Swedish NFI is an objective and uniform inventory of forest damage in Swedish forests at national and regional scales, less common or less widespread occurrences of forests pests and pathogens are difficult to survey solely through large-scale monitoring programmes. There is a need for complementary inventories to facilitate timely delivery of relevant information. Thus Target-tailored forest damage inventories (TFDI) aiming at providing data for operational decisions making at local level, and linked to specific damage events were introduced. TFDI’s are developed to give rapid response to requested information of specific damage outbreaks. The TFDIs are carried out in limited and concentrated samples, with flexible but robust methods and design. The data collected in the TFDI shall also be of such quality that it can be useful in research. During 2016 TFDI carried out a sample inventory of the volume Norway spruce (Picea abies) damage by bark beetles, Four-eyed spruce bark beetle (Polygrapus poligraphus) and/or European spruce bark beetle (Ips typographus) in older spruce forest in the county of Västernorrland and in eastern Jämtland (township of Bräcke, Ragunda and Östersund). The inventory in 2016, just like in 2014 and 2015, also includes Jämtland, compare to the previous years, as a follow-up to the severe winter storms in 2013, which felled a large amount of forest. The inventory included both standing and wind-felled trees. The purpose of the inventory was to estimate the volume Norway spruce damage by the given bark beetles, but also to highlight geographical distribution and the appearance of the damage in different forest sites. The results from the inventory should be available for decisions making basis in forestry managements. The inventory was stratified by an objective sample of all the National Forest Inventory permanent sample plots in the county of Västernorrland and eastern Jämtland. Included plots within the sample was all older thinning forest and final felling mature forest consisting of at least 7/10 proportion of spruce. The radii of sample plots use for the damage inventory was 25 m. Diameter at breast height was measured on damage trees and wind-felled trees. Diameter on stump from cut trees with fresh damage was measured. Furthermore species of bark beetle and age of damage was recorded. The inventory was carried out in the same way as in 2011, 2012, 2013, 2014 and 2015. Measurements of wind-felled trees were included from 2013 onwards and comprises both wind-felled trees newly infested (season 0) with bark beetles and fresh wind-felled trees not infested with bark beetle. In 2016, the variable “including stump” is included, which explains if the windfall is a whole tree. This is also explained by the variable ”full length” which also is included in previous years. The dataset consist at plot level of 147 rows with 23 column, at tree level of 466 rows with 12 columns and at wind-felled tree level of 72 rows with 13 columns. Some assessed and used variables: At sample plot level: Plot area measured The proportion of spruce at the sample plot Maturity class At tree level: Is the tree dead or alive? Position of tree – standing, stump Diameter at breast height Which species of bark beetle has attacked the tree? Which season did the damage occur? Tree volume At wind-felled tree level: Diameter at breast height Is the tree infested by bark beetle? Which species of bark beetle has attacked the tree? Which season did the tree fell? Tree volume See the document "Data_description" for more detailed information. As additional documentation, field instructions for the inventories are also provided, both for the specific inventory and for the National Forest Inventory (NFI). An English version of the National Forest Inventory field instruction is available for year 2021 only, which is why this is included here. Fri, 30 May 2025 06:06:57 GMT https://researchdata.se/en/catalogue/dataset/2025-137 https://researchdata.se/en/catalogue/dataset/2025-137 Swedish University of Agricultural Sciences Sören Wulff Cornelia Roberge Inventories of forest damage are carried out within the Swedish University of Agricultural Sciences (SLU) Forests programme. An annual monitoring of the most important sources of forest damage is carried out by the Swedish National Forest inventory (NFI). Although the Swedish NFI is an objective and uniform inventory of forest damage in Swedish forests at national and regional scales, less common or less widespread occurrences of forests pests and pathogens are difficult to survey solely through large-scale monitoring programmes. There is a need for complementary inventories to facilitate timely delivery of relevant information. Thus Target-tailored forest damage inventories (TFDI) aiming at providing data for operational decisions making at local level, and linked to specific damage events were introduced. TFDI’s are developed to give rapid response to requested information of specific damage outbreaks. The TFDIs are carried out in limited and concentrated samples, with flexible but robust methods and design. The data collected in the TFDI shall also be of such quality that it can be useful in research. During 2014 TFDI carried out a sample inventory of the volume Norway spruce (Picea abies) damage by bark beetles, Four-eyed spruce bark beetle (Polygrapus poligraphus) and/or European spruce bark beetle (Ips typographus) in older spruce forest in the county of Västernorrland and in eastern Jämtland (township of Bräcke, Ragunda and Östersund). The reason for the geographical expansion in 2014 including Jämtland compare to the previous years was due to the severe winter storms in 2013, which felled a large amount of forest. The inventory included both standing and wind-felled trees. The purpose of the inventory was to estimate the volume Norway spruce damage by the given bark beetles, but also to highlight geographical distribution and the appearance of the damage in different forest sites. The inventory was stratified by an objective sample of all the National Forest Inventory permanent sample plots in the county of Västernorrland and eastern Jämtland. Included plots within the sample was all older thinning forest and final felling mature forest consisting of at least 7/10 proportion of spruce and 25 % of forest in the same stage consisting of 3 to 6/10 proportion of spruce and 10 % of younger thinning forest consisting of a least 3/10 proportion of spruce. The radii of sample plots use for the damage inventory was 25 m. Diameter at breast height was measured on damage trees and wind-felled trees. Diameter on stump from cut trees with fresh damage was measured. Furthermore species of bark beetle and age of damage was recorded. Height and volume are estimated only for trees infested during present (0) season. The inventory was carried out in the same way as in 2011, 2012 and 2013. Wind-felled trees were included as in 2013 which comprises both wind-felled trees newly infested (season 0) with bark beetles and fresh wind-felled trees not infested with bark beetle. The dataset consist at plot level of 183 rows with 23 column, at tree level of 610 rows with 12 columns and at wind-felled tree level of 302 rows with 12 columns. Some assessed and used variables: At sample plot level: Plot area measured The proportion of spruce at the sample plot Maturity class At tree level: Is the tree dead or alive? Position of tree – standing, stump Diameter at breast height Which species of bark beetle has attacked the tree? Which season did the damage occur? Tree volume At wind-felled tree level: Diameter at breast height Is the tree infested by bark beetle? Which species of bark beetle has attacked the tree? Which season did the tree fell? Tree volume See the document "Data_description" for more detailed information. As additional documentation, field instructions for the inventories are also provided, both for the specific inventory and for the National Forest Inventory (NFI). An English version of the National Forest Inventory field instruction is available for year 2021 only, which is why this is included here. Wed, 19 Mar 2025 07:48:16 GMT https://researchdata.se/en/catalogue/dataset/2025-67 https://researchdata.se/en/catalogue/dataset/2025-67 Swedish University of Agricultural Sciences Sören Wulff Cornelia Roberge