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Academic literature on the topic 'Forestry inventories'

Author: Grafiati

Published: 10 March 2023

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Journal articles on the topic "Forestry inventories"

1

Strimbu, Bogdan M. "Comparing the efficiency of intensity-based forest inventories with sampling-error-based forest inventories." Forestry: An International Journal of Forest Research 87, no. 2 (January 15, 2014): 249–55. http://dx.doi.org/10.1093/forestry/cpt061.

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Thomas, Charles E., and John C. Rennie. "Combining Inventory Data for Improved Estimates of Forest Resources." Southern Journal of Applied Forestry 11, no. 3 (August 1, 1987): 168–71. http://dx.doi.org/10.1093/sjaf/11.3.168.

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Abstract Foresters occasionally have two or more estimates of the same volume, basal area, or other quantities of interest from independent inventories. A variety of statistical techniques for combining such estimates recently have begun to receive attention in surveys of census characteristics,agriculture, and forestry. Results from two independent timber resource inventories in Wayne County, Tennessee, are reported along with their respective sampling errors. Methods for combining estimates along with example calculations are presented and discussed. Suggestions are made for theapplication of this procedure to other sampling problems. South. J. Appl. For. 11(3):168-171.

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Holmström, Emma, Helena Gålnander, and Magnus Petersson. "Within-Site Variation in Seedling Survival in Norway Spruce Plantations." Forests 10, no. 2 (February 19, 2019): 181. http://dx.doi.org/10.3390/f10020181.

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Seedling survival was evaluated from inventories of a large set of Norway spruce plantations in privately owned forests in southern Sweden. The inventories were conducted at the time of planting and a subset was re-inventoried three years later. This enabled comparison of regeneration success after soil scarification and planting. The acquired data enabled evaluation of annual and climatic variation of seedling mortality since inventories were made on newly established clearcuts distributed spatially throughout three regions in southern Sweden and repeated in five consecutive years. Within-site variation was also captured via the use of a large number of sample plots on each clearcut. To do so, thirty sample plots were established within weeks of planting on 150 clearcuts. Small- and large-scale site and management variables were recorded as well as the numbers of suitable planting spots and planted seedlings. Three years later, 60 of the initially surveyed clearcuts were revisited and the numbers of both planted and naturally regenerated seedlings counted. On average, 2000 seedlings ha−1 were planted and 1500 seedlings ha−1 had survived after three years. However, there was high variation, and in 42% of the revisited sample plots no mortality was recorded. Important variables for seedling survival identified by linear regression analysis included the number of suitable planting spots, soil moisture conditions and annual variation in available soil water.

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Hussendörfer, Erwin, Michael Köhl, and Gerhard Müller-Starck. "Ein Beitrag zur Frage der repräsentativen Stichprobennahme bei genetischen Inventuren in Waldbaumpopulationen | A Contribution to the Precision of Sampling in Genetic Inventories of Forest Tree Populations." Schweizerische Zeitschrift fur Forstwesen 150, no. 6 (June 1, 1999): 203–8. http://dx.doi.org/10.3188/szf.1999.0203.

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The precision of estimates of genetic inventories in dependency on the sample size and sample design is investigated by means of results of inventories within silver fir stands. Recommendations are derived about how to statistically verify results of genetic inventories.

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Moser, Paolo, Alexander C. Vibrans, Ronald E. McRoberts, Erik Næsset, Terje Gobakken, Gherardo Chirici, Matteo Mura, and Marco Marchetti. "Methods for variable selection in LiDAR-assisted forest inventories." Forestry 90, no. 1 (August 19, 2016): 112–24. http://dx.doi.org/10.1093/forestry/cpw041.

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Pasalodos-Tato, Maria, Iciar Alberdi, Isabel Cañellas, and Mariola Sánchez-González. "Towards assessment of cork production through National Forest Inventories." Forestry: An International Journal of Forest Research 91, no. 1 (October 3, 2017): 110–20. http://dx.doi.org/10.1093/forestry/cpx036.

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Fortin, Mathieu, Rubén Manso, and Robert Schneider. "Parametric bootstrap estimators for hybrid inference in forest inventories." Forestry: An International Journal of Forest Research 91, no. 3 (November 22, 2017): 354–65. http://dx.doi.org/10.1093/forestry/cpx048.

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Abstract In forestry, the variable of interest is not always directly available from forest inventories. Consequently, practitioners have to rely on models to obtain predictions of this variable of interest. This context leads to hybrid inference, which is based on both the probability design and the model. Unfortunately, the current analytical hybrid estimators for the variance of the point estimator are mainly based on linear or nonlinear models and their use is limited when the model reaches a high level of complexity. An alternative consists of using a variance estimator based on resampling methods (Rubin, D. B. (1987). Multiple imputation for nonresponse surveys. John Wiley & Sons, Hoboken, New Jersey, USA). However, it turns out that a parametric bootstrap (BS) estimator of the variance can be biased in contexts of hybrid inference. In this study, we designed and tested a corrected BS estimator for the variance of the point estimator, which can easily be implemented as long as all of the stochastic components of the model can be properly simulated. Like previous estimators, this corrected variance estimator also makes it possible to distinguish the contribution of the sampling and the model to the variance of the point estimator. The results of three simulation studies of increasing complexity showed no evidence of bias for this corrected variance estimator, which clearly outperformed the BS variance estimator used in previous studies. Since the implementation of this corrected variance estimator is not much more complicated, we recommend its use in contexts of hybrid inference based on complex models.

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Vieira, Thiago Almeida, and Thomas Panagopoulos. "Urban Forestry in Brazilian Amazonia." Sustainability 12, no. 8 (April 16, 2020): 3235. http://dx.doi.org/10.3390/su12083235.

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Urban forests provide multiple benefits in improving people’s lives and can be an important tool for achieving the goal of carbon neutral cities. In this study, we analyzed the diversity of plant species from urban forests in cities in the Brazilian Amazonia, based on data from scientific articles, through a systematic literature review. Our analysis revealed that 530 taxa, of which 479 were identified at the species level and 51 at the genus level, covering 38,882 individuals were distributed in 29 cities. The three most frequent species were Ficus benjamina, Mangifera indica, and Licania tomentosa. Exotic species were more frequent than native. The three most frequent species had almost 42% of the inventoried individuals. The choice of species has been made mainly by the local population, without monitoring by the public authorities. Recommendations for sustainable management of urban forests in Amazonia include investing in training of management bodies, periodic inventories, and awareness actions about the benefits of urban green infrastructure and on the advantages of native species. Policies for the sustainable management of urban green areas are necessary. The municipal governments must continuously monitor indicators of urban ecosystem services and provide financial resources for maintaining and increasing those area rates per person.

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Roesch, F. A., and P. C. Van Deusen. "Anomalous diameter distribution shifts estimated from FIA inventories through time." Forestry 83, no. 3 (April 7, 2010): 269–76. http://dx.doi.org/10.1093/forestry/cpq009.

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McPherson, E. Gregory, James McCarter, and Fred Baker. "A Microcomputer-Based Park Tree Inventory System." Arboriculture & Urban Forestry 11, no. 6 (June 1, 1985): 177–81. http://dx.doi.org/10.48044/jauf.1985.040.

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Many communities have special parks that contain trees which receive as much or more care than do most street trees. Planning and managing vegetation in these areas is complex and can benefit from use of computerized tree inventory systems. This report outlines how park trees can be located and inventoried using a coordinate grid system. It also describes a computer program for park tree inventories designed to operate on a microcomputer, and field tested at the State Arboretum of Utah in Logan.

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Dissertations / Theses on the topic "Forestry inventories"

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Fransson, Johan. "Analysis of synthetic aperture radar images for forestry applications /." Umeå : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://www.resgeom.slu.se/fjarr/personal/jf/.

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Barth, Andreas. "Spatially comprehensive data for forestry scenario analysis : consequences of errors and methods to enhance usability /." Umeå : Dept. of Forest Resource Management, Swedish University of Agricultural Sciences, 2007. http://epsilon.slu.se/2007101.pdf.

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Yang, Sheng-I. "Efficient Sampling Methods for Forest Inventories and Growth Projections." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/101496.

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For operational forest management, a forest inventory is commonly conducted to determine the timber stocking and the value of standing trees in a stand. With time and costs constraints, appropriate sampling designs and models are required to perform the inventory efficiently, as well as to obtain reliable estimates for the variables needed to make projections. In this dissertation research, a simulation study was conducted to extensively explore four important topics in forest inventories: selection of measurement trees in point samples, projection from plot- and stand-level aggregations, subsampling height for volume estimation, and updating stand projections using periodic inventories. A series of simulated loblolly pine plantations with varying degrees of spatial heterogeneity were generated at different stages in stand development. Repeated sampling was used to examine various sampling schemes and growth projection methods. Highlights for the four topics follow: 1. Stand total volume can be reliably estimated using measurement trees tallied by Big BAF, point-double sampling, or random selection of a specified number of trees. However, number of trees per unit area in small-size classes were overestimated across the three tree-selection methods when sample data were aggregated into diameter classes. 2. Plot-level and stand-level projections produced similar estimates for dominant height, basal area, and stems per unit area. As spatial heterogeneity increased, stand-level projections indicated a significant bias of predicted total volume compared with the plot-level projections. 3. Sampling intensity, stand age and spatial heterogeneity have greater influence on the reliability for total volume estimation compared to subsampling intensity and measurement error for height measurements. 4.The variability of total volume estimates increases with increasing projection length (i.e., longer time intervals between inventory entry points). However, the estimates of stand total volume can be greatly improved by updating the models with information obtained in periodic forest inventories, especially when the original models are not well calibrated. The results of this study provide useful guidance and insights for forest practitioners to design forest inventories and improve growth projection systems in operational forest management.
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Ringvall, Anna. "Assessment of sparse populations in forest inventory : development and evaluation of probability sampling methods /." Umeå : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 2000. http://epsilon.slu.se/avh/2000/91-576-5885-4.pdf.

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Mandallaz, Daniel. "Geostatistical methods for double sampling schemes : application to combined forest inventories /." Zürich : Chair of Forest Inventory and Planning, Swiss Federal Institute of Technology (ETH), 1993. http://e-collection.ethbib.ethz.ch/show?type=habil&nr=19.

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Green, Patrick Corey. "Decision Support for Operational Plantation Forest Inventories through Auxiliary Information and Simulation." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/103054.

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Informed forest management requires accurate, up-to-date information. Ground-based forest inventory is commonly conducted to generate estimates of forest characteristics with a predetermined level of statistical confidence. As the importance of monitoring forest resources has increased, budgetary and logistical constraints often limit the resources needed for precise estimates. In this research, the incorporation of ancillary information in planted loblolly pine (Pinus taeda L.) forest inventory was investigated. Additionally, a simulation study using synthetic populations provided the basis for investigating the effects of plot and stand-level inventory aggregations on predictions and projections of future forest conditions. Forest regeneration surveys are important for assessing conditions immediately after plantation establishment. An unmanned aircraft system was evaluated for its ability to capture imagery that could be used to automate seedling counting using two computer vision approaches. The imagery was found to be unreliable for consistent detection in the conditions evaluated. Following establishment, conditions are assessed throughout the lifespan of forest plantations. Using small area estimation (SAE) methods, the incorporation of light detection and ranging (lidar) and thinning status improved the precision of inventory estimates compared with ground data alone. Further investigation found that reduced density lidar point clouds and lower resolution elevation models could be used to generate estimates with similar increases in precision. Individual tree detection estimates of stand density were found to provide minimal improvements in estimation precision when incorporated into the SAE models. Plot and stand level inventory aggregations were found to provide similar estimates of future conditions in simulated stands without high levels of spatial heterogeneity. Significant differences were noted when spatial heterogeneity was high. Model form was found to have a more significant effect on the observed differences than plot size or thinning status. The results of this research are of interest to forest managers who regularly conduct forest inventories and generate estimates of future stand conditions. The incorporation of auxiliary data in mid-rotation stands using SAE techniques improved estimate precision in most cases. Further, guidance on strategies for using this information for predicting future conditions is provided.
Doctor of Philosophy
Informed forest management requires accurate, up-to-date information. Groundbased sampling (inventory) is commonly used to generate estimates of forest characteristics such as total wood volume, stem density per unit area, heights, and regeneration survival. As the importance of assessing forest resources has increased, resources are often not available to conduct proper assessments. In this research, the incorporation of ancillary information in planted loblolly pine (Pinus taeda L.) forest inventory was investigated. Additionally, a simulation study investigated the effects of two forest inventory data aggregation methods on predictions and projections of future forest conditions. Forest regeneration surveys are important for assessing conditions immediately after tree planting. An unmanned aircraft system was evaluated for its ability to capture imagery that could be used to automate seedling counting. The imagery was found to be unreliable for use in accurately detecting seedlings in the conditions evaluated. Following establishment, forest conditions are assessed at additional points in forest development. Using a class of statistical estimators known as small-area estimation, a combination of ground and light detection and ranging data generated more confident estimates of forest conditions. Further investigation found that more coarse ancillary information can be used with similar confidence in the conditions evaluated. Forest inventory data are used to generate estimates of future conditions needed for management decisions. The final component of this research found that there are significant differences between two inventory data aggregation strategies when forest conditions are highly spatially variable. The results of this research are of interest to forest managers who regularly assess forest resources with inventories and models. The incorporation of ancillary information has potential to enhance forest resource assessments. Further, managers have guidance on strategies for using this information for estimating future conditions.

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Bienert, Anne, Louis Georgi, Matthias Kunz, Hans-Gerd Maas, and Oheimb Goddert von. "Comparison and Combination of Mobile and Terrestrial Laser Scanning for Natural Forest Inventories." Molecular Diversity Preservation International MDPI, 2018. https://tud.qucosa.de/id/qucosa%3A31826.

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Terrestrial laser scanning (TLS) has been successfully used for three-dimensional (3D) data capture in forests for almost two decades. Beyond the plot-based data capturing capabilities of TLS, vehicle-based mobile laser scanning (MLS) systems have the clear advantage of fast and precise corridor-like 3D data capture, thus providing a much larger coverage within shorter acquisition time. This paper compares and discusses advantages and disadvantages of multi-temporal MLS data acquisition compared to established TLS data recording schemes. In this pilot study on integrated TLS and MLS data processing in a forest, it could be shown that existing TLS data evaluation routines can be used for MLS data processing. Methods of automatic laser scanner data processing for forest inventory parameter determination and quantitative structure model (QSM) generation were tested in two sample plots using data from both scanning methods and from different seasons. TLS in a multi-scan configuration delivers very high-density 3D point clouds, which form a valuable basis for generating high-quality QSMs. The pilot study shows that MLS is able to provide high-quality data for an equivalent determination of relevant forest inventory parameters compared to TLS. Parameters such as tree position, diameter at breast height (DBH) or tree height can be determined from MLS data with an accuracy similar to the accuracy of the parameter derived from TLS data. Results for instance in DBH determination by cylinder fitting yielded a standard deviation of 1.1 cm for trees in TLS data and 3.7 cm in MLS data. However, the resolution of MLS scans was found insufficient for successful QSM generation. The registration of MLS data in forests furthermore requires additional effort in considering effects caused by poor GNSS signal.

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Duvemo, Karl. "The influence of data uncertainty on planning and decision processes in forest management /." Umeå : Dept. of Forest Resource Management, Swedish University of Agricultural Sciences, 2009. http://epsilon.slu.se/200906.pdf.

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Walter, Fredrik. "Extraction of forest stand parameters from CARABAS VHF SAR images /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5649-5.pdf.

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Holmgren, Johan. "Estimation of forest variables using airborne laser scanning /." Umeå : Dept. of Forest Resource Management and Geomatics, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/s278.pdf.

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Books on the topic "Forestry inventories"

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Smith, W. Brad. Assessing removals for north central forest inventories. St. Paul, Minn: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1991.

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Schmid-Haas, Paul. Forest inventories by unmarked permanent sample plots: Instructions. Birmensdorf [Switzerland]: Swiss Federal Institute for Forest, Snow and Landscape Research, 1993.

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Cost, Noel D. Multiresource inventories: Woody biomass in Virginia. Asheville, N.C: U.S. Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1988.

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Cost, Noel D. Multiresource inventories: Woody biomass in Georgia. Asheville, NC: U.S. Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1985.

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Cunia, Tiberius. On the error of biomass estimates in forest inventories. Syracuse, N.Y: State University of New York, College of Environmental Science and Forestry, 1985.

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Cost, Noel D. Multiresource inventories: Woody biomass in North Carolina. Asheville, N.C: U.S Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1986.

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Alexander, Susan J. Sensitivity of TRIM projections to management, harvest, yield, and stocking assumptions. Portland, Or. (319 S.W. Pine St., P.O. Box 3890, Portland 97208): U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Forest Experiment Station, 1991.

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Montana. Department of Natural Resources and Conservation. Good/Long/Boyle timber sale project environmental assessment. Missoula, Mont: The Dept., 2000.

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C, Conner Roger, and United States. Forest Service. Southern Research Station, eds. Southern forest inventory and analysis volume equation user's guide. Asheville, NC: Southern Research Station, 2011.

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Hickman, O. Eugene. Plant checklist for range and forest inventories in southwestern Oregon (eastern Siskiyous and southern Cascade Mountains). Corvallis, Or: Dept. of Rangeland Resources, Oregon State University, 1991.

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Book chapters on the topic "Forestry inventories"

1

Köhl, Michael, and Steen Magnussen. "Sampling in Forest Inventories." In Tropical Forestry Handbook, 1–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-41554-8_72-1.

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Köhl, Michael, and Steen Magnussen. "Sampling in Forest Inventories." In Tropical Forestry Handbook, 777–837. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-54601-3_72.

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Köhl, Michael, and Marco Marchetti. "Objectives and Planning of Forest Inventories." In Tropical Forestry Handbook, 1–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41554-8_70-1.

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Köhl, Michael, and Marco Marchetti. "Objectives and Planning of Forest Inventories." In Tropical Forestry Handbook, 749–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-54601-3_70.

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van Oijen, Marcel, and Amanda Thomson. "Toward Bayesian uncertainty quantification for forestry models used in the United Kingdom Greenhouse Gas Inventory for land use, land use change, and forestry." In Greenhouse Gas Inventories, 55–67. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1670-4_5.

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Nijnik, Maria, and Guillaume Pajot. "Accounting for uncertainties and time preference in economic analysis of tackling climate change through forestry and selected policy implications for Scotland and Ukraine." In Uncertainties in Greenhouse Gas Inventories, 227–40. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15901-0_16.

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Picchi, G., J. Sandak, S. Grigolato, P. Panzacchi, and R. Tognetti. "Smart Harvest Operations and Timber Processing for Improved Forest Management." In Climate-Smart Forestry in Mountain Regions, 317–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80767-2_9.

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AbstractClimate-smart forestry can be regarded as the evolution of traditional silviculture. As such, it must rely on smart harvesting equipment and techniques for a reliable and effective application. The introduction of sensors and digital information technologies in forest inventories, operation planning, and work execution enables the achievement of the desired results and provides a range of additional opportunities and data. The latter may help to better understand the results of management options on forest health, timber quality, and many other applications. The introduction of intelligent forest machines may multiply the beneficial effect of digital data gathered for forest monitoring and management, resulting in forest harvesting operations being more sustainable in terms of costs and environment. The interaction can be pushed even further by including the timber processing industry, which assesses physical and chemical characteristics of wood with sensors to optimize the transformation process. With the support of an item-level traceability system, the same data could provide a formidable contribution to CSF. The “memory” of wood could support scientists to understand the response of trees to climate-induced stresses and to design accordingly an adaptive silviculture, contributing to forest resilience in the face of future changes due to human-induced climate alteration.

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Hayter, Roger, and Alex Clapp. "The Remapping of Forest Governance: From Shareholder to Stakeholder." In Knowledge for Governance, 375–95. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47150-7_16.

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AbstractResource conflicts are widespread features of contemporary globalization. In forestry-related resource peripheries, such as British Columbia (BC), various societal stakeholders are demanding a reform of resource uses away from industrial priorities towards more ecological and cultural ones. Forest conflicts represent institutional clashes that lead to new forms of governance based on new inventories, resource maps, science, and zoning. The authors of this paper analyze the remapping of forest resources in BC as part of broader paradigmatic transformations of society and economy from shareholder to stakeholder models of resource governance, i.e. as a shift in policy-making from hierarchical control by governments and markets to more diffuse, democratic forms of governance. This process is accompanied by institutional innovation and thickening that still need to be assessed for their effectiveness. Whether stakeholder remapping can be certified as good governance remains a context-dependent empirical question.

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De Jode, A. "Assessing National Livestock Populations for the Production of Methane Emission Inventories." In African Greenhouse Gas Emission Inventories and Mitigation Options: Forestry, Land-Use Change, and Agriculture, 111–23. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-009-1637-1_8.

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Muyungi, R. S., and C. Omujuni. "Greenhouse Gas Emissions from Forestry, Land-Use Changes, and Agriculture in Tanzania." In African Greenhouse Gas Emission Inventories and Mitigation Options: Forestry, Land-Use Change, and Agriculture, 207–10. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-009-1637-1_16.

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Conference papers on the topic "Forestry inventories"

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Haywood, Andrew, Alessio Alfonsetti, Antonia Ortmann, and Darlynne Takawo. "Improving national greenhouse gas inventories for forestry and land use change using open-source software." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326539.

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Caldas, Lucas Rosse, Jorge Sierra-Pérez, Romildo Dias Toledo Filho, and Marcos Silvoso. "Evaluation of GHG Emissions from the Production of Cross-Laminated Timber (CLT): Analysis of Different Life Cycle Inventories." In 4th International Conference on Bio-Based Building Materials. Switzerland: Trans Tech Publications Ltd, 2022. http://dx.doi.org/10.4028/www.scientific.net/cta.1.635.

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The Cross-Laminated Timber (CLT) has been receiving special attention in recent research as an alternative for climate change mitigation since it is a renewable source and can remove and stock high amounts of CO2 from the atmosphere. Some countries, such as Brazil, still do not have mature and large CLT industry. However, the development of this industry in other countries is expected since the CLT is considered the main wood material to be used in high-rise mass timber buildings. It is particularly important to have environmental information, especially concerning the climate change impacts, in terms of life cycle greenhouse gas (GHG) emissions, for this product to increase its competitiveness in a new market. In this context, this research aimed to evaluate three different Life cycle inventories (LCIs) for CLT production of studies from Japan and the United States. Based on the first findings, we summarized the critical items in the LCI of CLT production and listed some actions for the reduction of GHG emissions that occur in this process. The LCIs are adapted considering the context of Brazil (a country with a cleaner electricity matrix) and China (a country with the highest share of fossil fuels). The main inconsistencies present in the LCIs are presented and discussed. The GHG emissions are concentrated in the following hotspots: (1) Roundwood production; (2) electricity consumption; and (3) adhesives production for CLT production. Therefore, the reduction of the consumption of these materials and activities should be encouraged for the decrease of GHG emissions. The data of Roundwood used in the modelling severely affects the final results. Their GHG emissions are related to the consumption of diesel in forestry activities. This research brings insights into the evaluation of the life cycle GHG emissions from the production of CLT.

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MOZGERIS, Gintautas, Ina BIKUVIENĖ, and Donatas JONIKAVICIUS. "THE OPPORTUNITIES AND CHALLENGES OF USING AIRBORNE LASER SCANNING FOR FOREST INVENTORIES IN LITHUANIA." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.023.

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The aim of this study was to test the usability of airborne laser scanning (ALS) data for stand-wise forest inventories in Lithuania based on operational approaches from Nordic countries, taking into account Lithuanian forest conditions and requirements for stand-wise inventories, such as more complex forests, unified requirements for inventory of all forests, i.e. no matter the ownership, availability of supporting material from previous inventories and high accuracy requirements for total volume estimation. Test area in central part of Lithuania (area 2674 ha) was scanned using target point density 1 m-2 followed by measurements of 440 circular field plots (area 100–500 m2). Detailed information on 22 final felling areas with all trees callipered (total area 42.7 ha) was made available to represent forest at mature age. Updated information from conventional stand-wise inventory was made available for the whole study area, too. A two phase sampling with nonparametric Most Similar Neighbor estimator was used to predict point-wise forest characteristics. Total volume of the stand per 1 ha was predicted with an root mean square error of 18.6 %, basal area – 17.7 %, mean diameter – 13.6 %, mean height – 7.9 % and number of tree – 42.8 % at plot-level with practically no significant bias. However, the relative root mean square errors increased 2–4 times when trying to predict forest characteristics by three major groups of tree species – pine, spruce and all deciduous trees taken together. Main conclusion of the study was that accuracy of predicting volume using ALS data decreased notably when targeting forest characteristics by three major groups of tree species.

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Herrera, P. J., G. Pajares, M. Guijarro, J. J. Ruz, J. M. Cruz, and F. Montes. "A Stereovision Sensor for Forest Inventories." In 2010 First International Conference on Sensor Device Technologies and Applications (SENSORDEVICES). IEEE, 2010. http://dx.doi.org/10.1109/sensordevices.2010.20.

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Agrimi, Mariagrazia. "Forest inventories for management of woodlands in historical parks." In Secondo Congresso Internazionale di Selvicoltura = Second International Congress of Silviculture. Accademia Italiana di Scienze Forestali, 2015. http://dx.doi.org/10.4129/2cis-ma-inv.

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Ravaglia, Joris, Bac Alexandra, and Alexandre Piboule. "Laser-scanned tree stem filtering for forest inventories measurements." In 2013 Digital Heritage International Congress (DigitalHeritage). IEEE, 2013. http://dx.doi.org/10.1109/digitalheritage.2013.6743809.

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Alia, Zerrouki, Kara Karima, Redjaimia Lilia, and Rached-Kanouni Malika. "FLORISTIC DIVERSITY AND STRUCTURAL CHARACTERIZATION OF THE FOREST OF CHETTABA (ALGERIA)." In GEOLINKS Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/geolinks2021/b2/v3/12.

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"The structure of various stands, defined as the diversity of trees in the stands, can be an indication of overall biodiversity and habitat suitability, be useful in predicting stand growth and provide stand details for forest inventories. In an effort to find sustainable resource management strategies, a study was conducted on the structural and ecological characteristics of stands in Chettaba forest (Algeria). In this study, six diversity indices were used to characterize the horizontal and spatial distribution of individuals in multi-species stands, using four plots, located in the Chettaba forest (East-North Algeria). The results obtained allowed us to note that P2 and P3 present similar average densities (600 feet/ha), the plots P1 and P4 present low average densities (250 feet/ha and 350 feet/ha). The average DBH values vary from 25.65 cm for the P2 stand to 30.61 cm for the P1 stand. The average basal area varied between 33.73 m²/ha (P3) and 18.92 m²/ha (P1). The Shannon and Weaver index reached its maximum in plot 4 with 8 species. The study allowed us to evaluate the floristic diversity of the forest. Moreover, it indicated the need for its integral protection for its dynamics towards a dense forest vegetation."

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Reports on the topic "Forestry inventories"

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Smith, W. Brad. Assessing removals for North Central forest inventories. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station, 1991. http://dx.doi.org/10.2737/nc-rp-299.

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Mills, John R., and Xiaoping Zhou. Projecting national forest inventories for the 2000 RPA timber assessment. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2003. http://dx.doi.org/10.2737/pnw-gtr-568.

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Wharton, Eric H., and Douglas M. Griffith. Methods to estimate total forest biomass for extensive forest inventories: applications in the northeastern U.S. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station, 1993. http://dx.doi.org/10.2737/ne-rp-681.

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Barrett, T. M. Estimation procedures for the combined 1990s periodic forest inventories of California, Oregon, and Washington. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2004. http://dx.doi.org/10.2737/pnw-gtr-597.

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Schreuder, Hans T., Jin-Mann S. Lin, and John Teply. Annual design-based estimation for the annualized inventories of forest inventory and analysis: sample size determination. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2000. http://dx.doi.org/10.2737/rmrs-gtr-66.

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Olson, Cassandra, and Anita F. Cholewa. A Guide to nonnative invasive plants inventoried in the north by Forest Inventory and Analysis. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station, 2009. http://dx.doi.org/10.2737/nrs-gtr-52.

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Hanson, Erica J., David L. Azuma, and Bruce A. Hiserote. Site index equations and mean annual increment equations for Pacific Northwest Research Station forest inventory and analysis inventories, 1985-2001. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2003. http://dx.doi.org/10.2737/pnw-rn-533.

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Henderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: National Capital Region Inventory & Monitoring Network. National Park Service, July 2022. http://dx.doi.org/10.36967/2293865.

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Type sections are one of several kinds of stratotypes. A stratotype is the standard (original or subsequently designated), accessible, and specific sequence of rock for a named geologic unit that forms the basis for the definition, recognition, and comparison of that unit elsewhere. Geologists designate stratotypes for rock exposures that are illustrative and representative of the map unit being defined. Stratotypes ideally should remain accessible for examination and study by others. In this sense, geologic stratotypes are similar in concept to biological type specimens, however they remain in situ as rock exposures rather than curated in a repository. Therefore, managing stratotypes requires inventory and monitoring like other geologic heritage resources in parks. In addition to type sections, stratotypes also include type localities, type areas, reference sections, and lithodemes, all of which are defined in this report. The goal of this project is to consolidate information pertaining to stratotypes that occur within NPS-administered areas, in order that this information is available throughout the NPS to inform park managers and to promote the preservation and protection of these important geologic heritage resources. This effort identified 20 stratotypes designated within seven park units of the National Capital Region I&M Network (NCRN): Chesapeake and Ohio Canal National Historical Park (CHOH) contains three type sections, two type localities, one type area, and eight reference sections; George Washington Memorial Parkway (GWMP) contains one type locality; Harpers Ferry National Historical Park (HAFE) contains two type sections, and one type locality/type area; Manassas National Battlefield (MANA) contains two type areas; Monocacy National Battlefield (MONO) contains one type section; National Capital Parks-East (NACE) contains one type locality; Prince William Forest (PRWI) contains one type section. Note that two stratotype designations (for the Harpers and Mather Gorge Formations) are shared amongst multiple park units. Table 1 provides information regarding the 20 stratotypes currently identified within the NCRN. There are currently no designated stratotypes within Antietam National Battlefield (ANTI), Catoctin Mountain Park (CATO), Rock Creek Park (ROCR), and Wolf Trap National Park for the Performing Arts (WOTR). However, CATO, CHOH, and GWMP contain important rock exposures that could be considered for formal stratotype designation as discussed in the Recommendations section. The inventory of geologic stratotypes across the NPS is an important effort in documenting these locations in order that NPS staff recognize and protect these areas for future studies. The focus adopted for completing the baseline inventories throughout the NPS has centered on the 32 inventory and monitoring (I&M) networks established during the late 1990s. Adopting a network-based approach to inventories worked well when the NPS undertook paleontological resource inventories for the 32 I&M networks and was therefore adopted for the stratotype inventory. The Greater Yellowstone I&M Network (GRYN) was the pilot network for initiating this project (Henderson et al. 2020). Methodologies and reporting strategies adopted for the GRYN have been used in the development of this report for the NCRN. This report includes a recommendation section that addresses outstanding issues and future steps regarding park unit stratotypes. These recommendations will hopefully guide decision-making and help ensure that these geoheritage resources are properly protected and that proposed park activities or development will not adversely impact the stability and condition of these geologic exposures.

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Galvin, Jeff, and Sarah Strudd. Vegetation inventory, mapping, and characterization report, Saguaro National Park: Volume II, association summaries. Edited by Alice Wondrak Biel. National Park Service, March 2021. http://dx.doi.org/10.36967/nrr-2284793.

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The Sonoran Desert Network (SODN) conducted a vegetation mapping and characterization effort at the two districts of Saguaro National Park from 2010 to 2018. This project was completed under the National Park Service (NPS) Vegetation Mapping Inventory, which aims to complete baseline mapping and classification inventories at more than 270 NPS units. The vegetation map data were collected to provide park managers with a digital map product that meets national standards of spatial and thematic accuracy, while also placing the vegetation into a regional and national context. A total of 97 distinct vegetation communities were described: 83 exclusively at the Rincon Mountain District, 9 exclusively at the Tucson Mountain District, and 5 occurring in both districts. These communities ranged from low-elevation creosote (Larrea tridentata) shrub-lands spanning broad alluvial fans to mountaintop Douglas fir (Pseudotsuga menziesii) forests on the slopes of Rincon Peak. All 97 communities were described at the association level, each with detailed narratives including lists of species found in each association, their abundance, landscape features, and overall community structural characteristics. Only 15 of the 97 vegetation types were existing “accepted” types within the National Vegetation Classification (NVC). The others are newly described and specific to Saguaro National Park (and will be proposed for formal status within the NVC). This document is Volume II of three volumes comprising the Saguaro National Park Vegetation Mapping Inventory. This volume provides two-page summaries of the 97 associations identified and mapped during the project, and detailed in Volume I. Summaries are presented by district, starting with the Tucson Mountain District. These summaries are abridged versions of the full association descriptions found in Volume III.

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Galvin, Jeff, and Sarah Studd. Vegetation inventory, mapping, and characterization report, Saguaro National Park: Volume III, type descriptions. Edited by Alice Wondrak Biel. National Park Service, March 2021. http://dx.doi.org/10.36967/nrr-2284802.

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Abstract:

The Sonoran Desert Network (SODN) conducted a vegetation mapping and characterization effort at the two districts of Saguaro National Park from 2010 to 2018. This project was completed under the National Park Service (NPS) Vegetation Mapping Inventory, which aims to complete baseline mapping and classification inventories at more than 270 NPS units. The vegetation map data were collected to provide park managers with a digital map product that meets national standards of spatial and thematic accuracy, while also placing the vegetation into a regional and national context. A total of 97 distinct vegetation communities were described: 83 exclusively at the Rincon Mountain District, 9 exclusively at the Tucson Mountain District, and 5 occurring in both districts. These communities ranged from low-elevation creosote (Larrea tridentata) shrub-lands spanning broad alluvial fans to mountaintop Douglas fir (Pseudotsuga menziesii) forests on the slopes of Rincon Peak. All 97 communities were described at the association level, each with detailed narratives including lists of species found in each association, their abundance, landscape features, and overall community structural characteristics. Only 15 of the 97 vegetation types were existing “accepted” types within the NVC. The others are newly de-scribed and specific to Saguaro National Park (and will be proposed for formal status within the NVC). This document is Volume III of three volumes comprising the Saguaro National Park Vegetation Mapping Inventory. This volume provides full type descriptions of the 97 associations identified and mapped during the project, and detailed in Volume I. Volume II provides abridged versions of these full descriptions, briefly describing the floristic and structural characteristics of the vegetation and showing representative photos of associations, their distribution, and an example of the satellite imagery for one polygon.

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