Academic literature on the topic 'Tree biomass'

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Journal articles on the topic "Tree biomass"

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Rozak, Andes Hamuraby, Sri Astutik, Zaenal Mutaqien, Didik Widyatmoko, and Endah Sulistyawati. "Hiperdominansi Jenis dan Biomassa Pohon di Taman Nasional Gunung Gede Pangrango, Indonesia." Jurnal Ilmu Kehutanan 11, no. 1 (2017): 85. http://dx.doi.org/10.22146/jik.24903.

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Hiperdominansi jenis dan biomassa adalah suatu konsep yang menjelaskan pentingnya sebagian kecil jenis dan biomassa relatif terhadap rata-rata biomassa pohon pada suatu kawasan hutan. Pemahaman pada konsep ini berimplikasi pada upaya monitoring kawasan hutan khususnya bagi spesies penyumbang biomassa terbesar dan membantu pemahaman pada proses restorasi ekologinya. Analisis hiperdominansi jenis dan kontribusi pohon besar (DBH>50 cm) terhadap biomassa pohon telah dilakukan di kawasan hutan Taman Nasional Gunung Gede Pangrango (TNGGP). Sejumlah 26 plot pengamatan telah dibuat pada 26 level ke
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Williams, Roger A. "Use of Randomized Branch and Importance Sampling to Estimate Loblolly Pine Biomass." Southern Journal of Applied Forestry 13, no. 4 (1989): 181–84. http://dx.doi.org/10.1093/sjaf/13.4.181.

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Abstract A previously developed sampling method utilizing randomized branch and importance sampling for the purpose of quickly estimating tree biomass was tested on five loblolly pine (Pinus taeda L.) trees. Results show a wide range of per-tree sampling error, ranging from 5.3 to 28.9%. Largevariation in foliage content among selected branches per treee may be a major source of error. However, the sampling error for the total biomass of the five trees tested was only 3.3%. This sampling method appears to be reliable and efficient in obtaining precise estimates of the total biomassof a populat
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Xu, Xiaojun, Fengfeng Ma, Kangying Lu, et al. "Estimation of Biomass Dynamics and Allocation in Chinese Fir Trees Using Tree Ring Analysis in Hunan Province, China." Sustainability 15, no. 4 (2023): 3306. http://dx.doi.org/10.3390/su15043306.

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Studying tree biomass dynamics and allocation is crucial to understanding the forest carbon cycle and the adaptation of trees to the environment. However, traditional biomass surveys are time-consuming and labor-intensive, so few studies have specifically examined biomass formation in terms of the increase in individual tree biomass, and the role that tree age and site conditions play in this process, especially tree roots, is unclear. We studied the tree ring characteristics of 87 sample trees (8–40 years old) from 29 Chinese fir plantations with different site conditions and measured the bio
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Litton, Creighton M., Michael G. Ryan, Daniel B. Tinker, and Dennis H. Knight. "Belowground and aboveground biomass in young postfire lodgepole pine forests of contrasting tree density." Canadian Journal of Forest Research 33, no. 2 (2003): 351–63. http://dx.doi.org/10.1139/x02-181.

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As much as 40% of live biomass in coniferous forests is located belowground, yet the effect of tree density on biomass allocation is poorly understood. We developed allometric equations using traditional harvesting techniques to estimate coarse root biomass for [Formula: see text]13-year-old postfire lodgepole pine trees (Pinus contorta Dougl. ex Loud. var. latifolia Engelm.). We then used these equations, plus estimates of fine root and aboveground biomass, to estimate total tree biomass and belowground to aboveground biomass ratios in young postfire lodgepole pine stands with a wide range of
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Owate, Omamo Augustine, Mugo Joseph Mware, and Mwangi James Kinyanjui. "Allometric Equations for Estimating Silk Oak (Grevillea robusta) Biomass in Agricultural Landscapes of Maragua Subcounty, Kenya." International Journal of Forestry Research 2018 (October 2, 2018): 1–14. http://dx.doi.org/10.1155/2018/6495271.

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Grevillea robusta is widely interplanted with crops in Maragua subcounty, a practice that enhances biomass quantities in farmlands. However, quick tools for estimating biomass of such trees are lacking resulting in undervaluation of the farm product. This study sought to develop allometric equations for estimating tree biomass using diameter at breast height (DBH) and tree height as predictor variables. Tree biomass was computed using thirty-three (33) trees randomly selected from 12 one hectare plots established in each of the four agroecological zones (AEZs). DBH of all Grevillea robusta tre
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Deng, Cheng, Fengfeng Ma, Xiaojun Xu, Baoqi Zhu, Ji Tao, and Qingfen Li. "Allocation Patterns and Temporal Dynamics of Chinese Fir Biomass in Hunan Province, China." Forests 14, no. 2 (2023): 286. http://dx.doi.org/10.3390/f14020286.

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How trees allocate their biomass among different components has important implications for their survival and growth and ecosystem carbon cycling. Data on the distribution pattern and dynamics of tree biomass are essential for fully exploiting forest carbon sequestration potential and achieving the goal of carbon neutralization. However, there has not been enough research to-date on tree biomass spatial allocation and temporal dynamics in different site qualities at specific tree species scales. This study aimed to evaluate the biomass allocation patterns within tree components of Chinese fir
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Purwanto, Ris Hadi, and Melikaries Silaban. "Inventore Biomasa dan Karbon Jenis Jati (Tectona grandis L.f.) di Hutan Rakyat Desa Jatimulyo, Karanganyar." Jurnal Ilmu Kehutanan 5, no. 1 (2011): 40. http://dx.doi.org/10.22146/jik.581.

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Hutan menyimpan biomassa dan karbon dalam bentuk pepohonan hidup, bagian organ tumbuhan yang sudah mati yang berada di lantai hutan (misalnya seresah), tanah dan hasil kayu. Kajian ini memaparkan hasil inventore biomassa bagian organ tanaman jati (Tectona grandis L.f.) diatas permukaan tanah (above ground biomass) yang tumbuh di lahan hutan rakyat Desa Jatimulyo, Kabupaten Karanganyar. Diawali dengan penyusunan allometrik, kegiatan inventore dilakukan untuk menaksir potensi biomassa organ tanaman jati di atas permukaan tanah yang tumbuh di lahan hutan rakyat tersebut. Untuk menyusun persamaan
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Máliš, František, Bohdan Konôpka, Vladimír Šebeň, Jozef Pajtík, and Katarína Merganičová. "Short-Term Dynamics of Vegetation Diversity and Aboveground Biomass of Picea abies (L.) H. Karst. Forests after Heavy Windstorm Disturbance." Forests 12, no. 1 (2021): 97. http://dx.doi.org/10.3390/f12010097.

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Although forest disturbances have become more frequent and severe due to ongoing climate change, our understanding of post-disturbance development of vegetation and tree–herb layer interactions remains limited. An extreme windstorm, which occurred on 19 November 2004, destroyed Picea abies (L.) H. Karst dominated forests in the High Tatra Mts. Here, we studied short-term changes in diversity, species composition, and aboveground biomass of trees and herb layer vegetation, including mutual relationships that elucidate tree–herb interactions during post-disturbance succession. Assessment of spec
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Smith, Michael W., and Bruce W. Wood. "Pecan Tree Biomass Estimates." HortScience 41, no. 5 (2006): 1286–91. http://dx.doi.org/10.21273/hortsci.41.5.1286.

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Allometric equations were developed for orchard-grown pecan [Carya illinoinensis (Wangenh.) C. Koch] trees. Trees, ranging in size from 22 to 33 cm in trunk diameter 1.4 m above the ground, were destructively harvested from two sites. The entire aboveground portion of each tree was harvested and then divided into leaves, current season's shoots, and branches ≥1 year old plus trunk. Roots were sampled by digging a trench beginning beneath the trunk and extending to one-half the distance to an adjacent tree, then separating the roots from the soil. Roots were then divided into those less than 1
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Mirna, Mirna, Rita Diana, Deddy Hardiyanto, and Sidraha Kawaqib Putra. "ESTIMASI CADANGAN BIOMASSA PADA POHON GAHARU (Aquilaria malaccensis Lamk.) BERUMUR 14 TAHUN DI HUTAN PENDIDIKAN FAHUTAN UNMUL (HPFU) SAMARINDA KALIMANTAN TIMUR." ULIN: Jurnal Hutan Tropis 3, no. 2 (2019): 78. http://dx.doi.org/10.32522/ujht.v3i2.2871.

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Agarwood Tree is one of the important species of tree that produces Gaharu resin. The aim of this research was to determine the tree physical condition, tree health, and its biomass value. The research was examined in Education Forest of Mulawarman University Samarinda East Borneo. The method used for this research was purposive sampling, which purposely chooses the tree (Aquilaria malaccensis Lamk) as much as 40 trees. Whereas biomass value using three Allometrik equations with different parameters, obtained with the biggest biomass value using tree diameter, wood density, and tree length. Fu
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Dissertations / Theses on the topic "Tree biomass"

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Tamang, Bijay. "Tree windbreak function, root distribution and biomass production in Florida." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0041134.

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Good, Norman Markus. "Methods for estimating the component biomass of a single tree and a stand of trees using variable probability sampling techniques." Thesis, Queensland University of Technology, 2001. https://eprints.qut.edu.au/37097/1/37097_Good_2001.pdf.

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This thesis developed multistage sampling methods for estimating the aggregate biomass of selected tree components, such as leaves, branches, trunk and total, in woodlands in central and western Queensland. To estimate the component biomass of a single tree randomised branch sampling (RBS) and importance sampling (IS) were trialed. RBS and IS were found to reduce the amount of time and effort to sample tree components in comparison with other standard destructive sampling methods such as ratio sampling, especially when sampling small components such as leaves and small twigs. However, RBS did
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DeYoung, Clara. "Biomass Estimation Using the Component Ratio Method for White Oak." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50421.

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With higher demands on biomass, the ability to accurately estimate the amount in a stand is more important now than ever before. Existing models currently in use by the Forest Inventory and Analysis (FIA) program of the United States Department of Agriculture (USDA) Forest Service include the Component Ratio Method (CRM). However, testing of the CRM models is needed to validate and calibrate them. The objective of this research was to test and develop a system of equations capable of producing consistent volume and biomass estimates for standing trees of commercially important hardwood species
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Wan, Mohd Jaafar Wan Shafrina Binti. "Individual tree detection and modelling above-ground biomass and forest parameters using discrete return airborne LiDAR data." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31143.

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Individual tree detection and modelling forest parameters using Airborne Laser Scanner data (Light Detection and Ranging (LiDAR) is becoming increasingly important for the monitoring and sustainable management of forests. Remote sensing has been a useful tool for individual tree analysis in the past decade, although inadequate spatial resolution from satellites means that only airborne systems have sufficient spatial resolution to conduct individual tree analysis. Moreover, recent advances in airborne LiDAR now provide high horizontal resolution as well as information in the vertical dimension
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BRUNO, MARIA ROBERTA. "Sustainable use and practical application in the industrial sector of permanent crops biomass: Orange tree (C. sinensis L.), Apricot tree (P. armeniaca L.) and Olive tree (O. europea L.)." Doctoral thesis, Università degli studi della Basilicata, 2021. http://hdl.handle.net/11563/149565.

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Of the Earth's surface the 30% is occupied by forest and almost 50% is occupied by agricultural crops. Both the forest and agricultural besides producing food, feed, fiber, and a wide range of necessary products like shelter, packaging, clothing, and communications, produce a huge quantity of biomass about 956 Mt of dry matter for agriculture and the forest 18,600 Mt dry weight. Much of forest biomass is used to produce energy and heat while most of the agriculture biomass remains in the field or is burned. The recent EU Directives have encouraged state members to follow circular economy guid
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Cao, Lin. "The use of airborne LiDAR to assess tree species and forest biomass in subtropical forests." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/55358.

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The subtropical forest biome accounts for approximately a quarter of the area of China and is particularly important for local economies, and for maintaining biodiversity and the carbon balance of forest ecosystems. Despite their importance, there is still considerable uncertainty about the characterization and spatial distribution of tree species, as well as the carbon budgets of these forests, many of which have been altered by anthropogenic activities. Remote sensing has the potential to provide quantitative, spatially explicit information for mapping and monitoring forest ecosystems. It is
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Trautenmuller, Jonathan William. "QUANTIFICAÇÃO E DISTRIBUIÇÃO DO ESTOQUE DE BIOMASSA ACIMA DO SOLO EM FLORESTA ESTACIONAL DECIDUAL." Universidade Federal de Santa Maria, 2015. http://repositorio.ufsm.br/handle/1/4938.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>This study aims to quantify and analyze the distribution of the stock of above-ground biomass in Deciduous Forest fragments (FED) in the Region of the Northwest RS, generating the necessary information to support the development of forestry projects. Thus, we installed seven sampling unit of 12 x 12 m with subunits of 5 x 5 m and 1 x 1 m to quantify the natural regeneration classified as Stratum 1 (E1), 2 (E2) and 3 (E3), the E1 is composed of plants with less than 1.3 m from the ground, the E2 all vegetation with over 1.3 m in hei
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Bastin, Jean-François. "Estimating the aboveground biomass of central African tropical forests at the tree, canopy and region level." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209006.

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Human pressure on forest resources increased significantly during the past decades through land use and land use change, especially in the tropics where forest clearing is a major source of CO2 release in the atmosphere. Consequently, forests are the focus of international environmental policies and discussions aiming to reduce emissions from deforestation and forest degradation (i.e. REDD+). The capacity of participating countries to regularly provide accurate forests C stocks measurements at a national scale thus represents an important challenge to address. In dense forests, generally only
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Mutakela, Patrick Silishebo. "Biomass prediction models for Colophospermum Mopane (Mopane) in Botswana." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/2167.

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Thesis (MFor (Forest and Wood Science))--University of Stellenbosch, 2009.<br>The aim of this study was to develop biomass prediction models for the determination of total aboveground biomass for mopane at three (3) study sites in Botswana. Thereafter, based on the pooled data from the three (3) study sites, recommend one cross-site biomass prediction model that could be used for the indirect estimation of the total aboveground biomass for mopane in Botswana. All the data were collected by destructive sampling from three (3) study sites in Botswana. Stratified random sampling was based on
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Hoffmann, Madonna Bridget, and Madonna hoffman@dpi qld gov au. "Application of tree and stand allometrics to the determination of biomass and its flux in some north-east Australian woodlands." Central Queensland University. Biological and Environmental Sciences, 2007. http://library-resources.cqu.edu.au./thesis/adt-QCQU/public/adt-QCQU20070525.144254.

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This thesis examines the effects of species, rainfall and soil type on tree biomass regressions, as well as the effects of stand dominance and structure on stand biomass regressions in north-east Australian woodlands. This was achieved by examining tree characteristics and biomass relationships for a series of woodland monitoring sites throughout the study area. This study utilised a modified data set from this permanent monitoring site network to provide structural attributes for trees and communities of varying composition in the grazed woodlands. These data were supplemented with environmen
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Books on the topic "Tree biomass"

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D, Briggs Russell, ed. Estimating sample tree biomass by subsampling. State University of New York, College of Environmental Science and Forestry, 1987.

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Wharton, Eric H. Aboveground tree biomass statistics for Maine: 1982. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1985.

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DeBell, Dean S. Mixed plantations of Eucalyptus and leguminous trees enhance biomass production. U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1985.

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DeBell, Dean S. Mixed plantations of Eucalyptus and leguminous trees enhance biomass production. U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1985.

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DeBell, Dean S. Mixed plantations of Eucalyptus and leguminous trees enhance biomass production. U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1985.

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Dimitris, Zianis, Suomen Metsätieteellinen Seura, and Metsäntutkimuslaitos, eds. Biomass and stem volume equations for tree species in Europe. Finnish Society of Forest Science, Finnish Forest Research Institute, 2005.

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Hansen, Edward A. Planting depth of hybrid Poplar cuttings influences number of shoots. U.S. Dept. of Agriculture, Forest Service, North Central Forest Experimental Station, 1991.

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Hansen, Edward A. Planting depth of hybrid Poplar cuttings influences number of shoots. U.S. Dept. of Agriculture, Forest Service, North Central Forest Experimental Station, 1991.

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Marshall, P. L. Above ground tree biomass of interior uneven-aged douglas-fir stands. University of British Columbia Press, 1995.

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Roberts, B. A. The impact of whole-tree and conventional harvesting on white birch sites in central Newfoundland: An ENFOR establishment report. Canadian Forest Service, Newfoundland and Labrador Region, 1995.

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Book chapters on the topic "Tree biomass"

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West, Philip W. "Tree Biomass." In Tree and Forest Measurement. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05436-9_7.

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West, P. W. "Biomass." In Tree and Forest Measurement. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14708-6_7.

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West, P. W. "Biomass." In Tree and Forest Measurement. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95966-3_7.

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Bartolelli, V., and D. Metta. "Tree Crops Pruning Mechanized Chains in Puglia Region." In Biomass Energy. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-011-7879-2_36.

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Burkhart, Harold E., and Margarida Tomé. "Tree Weight and Biomass Estimation." In Modeling Forest Trees and Stands. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-3170-9_4.

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Hakkila, Pentti. "Technical Properties of Residual Tree Components." In Utilization of Residual Forest Biomass. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74072-5_3.

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Scarascia-Mugnozza, G., G. A. Bauer, H. Persson, G. Matteucci, and A. Masci. "Tree Biomass, Growth and Nutrient Pools." In Ecological Studies. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57219-7_3.

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Seifert, Thomas, and Stefan Seifert. "Modelling and Simulation of Tree Biomass." In Bioenergy from Wood. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7448-3_3.

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Didion, Markus, Anne Herold, and Esther Thürig. "Whole Tree Biomass and Carbon Stock." In Swiss National Forest Inventory – Methods and Models of the Fourth Assessment. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19293-8_14.

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Pereira, J. S., and S. Pallardy. "Water Stress Limitations to Tree Productivity." In Biomass Production by Fast-Growing Trees. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2348-5_3.

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Conference papers on the topic "Tree biomass"

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Samariks, Valters, Ieva Jaunslaviete, Andis Adamovics, Sabine Dubasinska, and Aris Jansons. "GROUND VEGETATION BIOMASS AND CARBON POOL IN HEMIBOREAL OLD-GROWTH CONIFEROUS STANDS ON ORGANIC SOILS." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/3.2/s13.36.

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Forest ground vegetation biomass plays a significant role in carbon (C) storage and contributes to the overall carbon pool of forest ecosystems. Ground vegetation, including understory plants, shrubs, and grasses, not only affects carbon sequestration through photosynthesis but also contributes to the carbon cycle as it decomposes and release carbon into atmosphere and soil. This process adds to soil organic matter and affects it carbon dynamics. Understanding the above and below-ground biomass of forest ground vegetation and its associated carbon pool is essential for improving local and glob
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Long, Feiyu, Yinghui Zhao, and Zhen Zhen. "Improving the Accuracy of Aboveground Biomass Estimation of Natural Secondary Forests Using Individual Tree Features." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642637.

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Saha, Sumit, Susamoy Aich, Nirlov Saha, Sujay Saha, Ratna Chakraborty, and Soham Kanti Bishnu. "Deploying UAV's Equipped with LIDAR for the Quantification of Tree Biomass and the Systematic Classification of Arboreal Species." In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). IEEE, 2025. https://doi.org/10.1109/iementech65115.2025.10959594.

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Ferreira, Matheus, Gabriela Martins, Thaís Almeida, et al. "Above Ground Biomass Estimation of Individual Urban Trees With Hyperspectral and Lidar Data." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641530.

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Shiney, Arumai, Keerthana S, Harini A, and Jonah S. "Carbon Storage and Sequestration Potential of Aboveground Biomass of Neem Trees in Southern Regions of Chennai." In 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG). IEEE, 2024. https://doi.org/10.1109/icstsdg61998.2024.11026238.

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Popovas, Darius, Valentas Mikalauskas, Dominykas Šlikas, Simonas Valotka, and Tautvydas Šorys. "Individual Tree Parameters Estimation from Terrestrial Laser Scanner Data." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.230.

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Tree models and information on the various characteristics of trees and forests are required for forest management, city models, carbon accounting and the management of assets. In order to get precise characteristics and information, tree modelling must be done at individual tree level as it represents the interaction process between trees. For sustainable forest management, more information is needed, however, the traditional methods of investigating forest parameters such as, tree height, diameter at breast height, crown diameter, stem curve and stem mapping or tree location are complex and
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Gaysin, I. K. "CHANGES IN THE STRUCTURE AND ABOVEGROUND BIOMASS OF STANDS IN THE TRANSITION ZONE BETWEEN THE FOREST AND MOUNTAIN STEPPES IN THE KRAKA MASSIF, SOUTH URALS." In Prirodopol'zovanie i ohrana prirody: Ohrana pamjatnikov prirody, biologicheskogo i landshaftnogo raznoobrazija Tomskogo Priob'ja i drugih regionov Rossii. Izdatel'stvo Tomskogo gosudarstvennogo universiteta, 2020. http://dx.doi.org/10.17223/978-5-94621-954-9-2020-37.

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The structure of tree stands in the ecotone between the forest and extrazonal steppes on southern slope the South Kraka mountain range (eastern macro slope of the South Urals) was investigated. On the basis of taxation data and the identified close relationships between the biomass of trees and the diameters of their trunks, aboveground biomass of stands was calculated. It has been shown that the deterioration of microclimatic and soil conditions for the growth and regeneration of trees in the transition zone between the forest and mountain steppes leads to a significant change in taxation cha
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Bickovskis, Karlis, Valters Samariks, and Aris Jansons. "Effect of forest stand thinning on tree biomass carbon stock." In 23rd International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering and Information Technologies, 2024. http://dx.doi.org/10.22616/erdev.2024.23.tf009.

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Forest store significant amount of carbon and carbon stock in living tree biomass is amongst the largest carbon pools in forest ecosystems. Forest management practises, such as thinning, can improve tree growth, and increase carbon sequestration in forest ecosystems, thus be beneficial for achieving climate change mitigation goals. However, information about additional carbon stock increase as a result of thinning in the first 10 years is lacking in hemiboreal region. Therefore, this study investigates the additional carbon stock of the most common tree species (Scots pine, Norway spruce, and
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King, Zantia, Elizabeth Elkins, and Kashif Mahmud. "URBAN TREE BIOMASS ESTIMATION THROUGH TERRESTRIAL LIDAR ANALYSIS." In 59th Annual Meeting of the GSA South-Central Section - 2025. Geological Society of America, 2025. https://doi.org/10.1130/abs/2025sc-407421.

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Elkins, Elizabeth, and Kashif Mahmud. "OPTIMIZING URBAN TREE ABOVE GROUND BIOMASS USING REMOTE SENSING AND TREE STRUCTURAL DIVERSITY." In 59th Annual Meeting of the GSA South-Central Section - 2025. Geological Society of America, 2025. https://doi.org/10.1130/abs/2025sc-407891.

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Reports on the topic "Tree biomass"

1

Mize, Carl. Tree Biomass Productivity Project. Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-888.

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2

Wharton, Eric H., Thomas S. Frieswyk, and Anne M. Malley. Aboveground tree biomass statistics for Maine: 1982. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1985. http://dx.doi.org/10.2737/ne-rb-86.

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3

Wharton, Eric H., and Tiberius Cunia. Estimating tree biomass regressions and their error, proceedings of the workshop on tree biomass regression functions and their contribution to the error. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1987. http://dx.doi.org/10.2737/ne-gtr-117.

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4

Schukrt, Thomas H., Robert F. Strand, Thomas G. Cole, and Katharine E. McDuffie. Equations for predicting biomass of six introduced tree species, island of Hawaii. U.S. Department of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1988. http://dx.doi.org/10.2737/psw-rn-401.

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5

Rosson, James F. The woody biomass resource of major tree taxa for the Midsouth States. U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station, 1992. http://dx.doi.org/10.2737/so-rb-166.

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6

Jenkins, Jennifer C., David C. Chojnacky, Linda S. Heath, and Richard A. Birdsey. Comprehensive database of diameter-based biomass regressions for North American tree species. U.S. Department of Agriculture, Forest Service, Northeastern Research Station, 2004. http://dx.doi.org/10.2737/ne-gtr-319.

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7

Frank, Jereme, Aaron Weiskittel, David Walker, et al. Gaps in available data for modeling tree biomass in the United States. U.S. Department of Agriculture, Forest Service, Northern Research Station, 2019. http://dx.doi.org/10.2737/nrs-gtr-184.

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8

Westfall, James A., John W. Coulston, Andrew N. Gray, et al. A national-scale tree volume, biomass, and carbon modeling system for the United States. U.S. Department of Agriculture, Forest Service, 2023. http://dx.doi.org/10.2737/wo-gtr-104.

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9

Zhou, Xiaoping, and Miles A. Hemstrom. Estimating aboveground tree biomass on forest land in the Pacific Northwest: a comparison of approaches. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2009. http://dx.doi.org/10.2737/pnw-rp-584.

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10

Zhou, Xiaoping, and Miles A. Hemstrom. Timber volume and aboveground live tree biomass estimations for landscape analyses in the Pacific Northwest. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2010. http://dx.doi.org/10.2737/pnw-gtr-819.

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