Concepts and Techniques of Dendrochronology
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Ice-Core Dating of the Pleistocene/Holocene
[RADIOCARBON, VOL 28, No. 2A, 1986, P 284-291] ICE-CORE DATING OF THE PLEISTOCENE/HOLOCENE BOUNDARY APPLIED TO A CALIBRATION OF THE 14C TIME SCALE CLAUS U HAMMER, HENRIK B CLAUSEN Geophysical Isotope Laboratory, University of Copenhagen and HENRIK TAUBER National Museum, Copenhagen, Denmark ABSTRACT. Seasonal variations in 180 content, in acidity, and in dust content have been used to count annual layers in the Dye 3 deep ice core back to the Late Glacial. In this way the Pleistocene/Holocene boundary has been absolutely dated to 8770 BC with an estimated error limit of ± 150 years. If compared to the conventional 14C age of the same boundary a 0140 14C value of 4C = 53 ± 13%o is obtained. This value suggests that levels during the Late Glacial were not substantially higher than during the Postglacial. INTRODUCTION Ice-core dating is an independent method of absolute dating based on counting of individual annual layers in large ice sheets. The annual layers are marked by seasonal variations in 180, acid fallout, and dust (micro- particle) content (Hammer et al, 1978; Hammer, 1980). Other parameters also vary seasonally over the annual ice layers, but the large number of sam- ples needed for accurate dating limits the possible parameters to the three mentioned above. If accumulation rates on the central parts of polar ice sheets exceed 0.20m of ice per year, seasonal variations in 180 may be discerned back to ca 8000 BP. In deeper strata, ice layer thinning and diffusion of the isotopes tend to obliterate the seasonal 5 pattern.1 Seasonal variations in acid fallout and dust content can be traced further back in time as they are less affected by diffusion in ice. -
Dendrochronology, Fire Regimes
Encyclopedia of Scientific Dating Methods DOI 10.1007/978-94-007-6326-5_76-4 # Springer Science+Business Media Dordrecht 2013 Dendrochronology, Fire Regimes Peter M. Brown* Rocky Mountain Tree-Ring Research, Inc., Fort Collins, CO, USA Definition Use of tree-ring data and methods to reconstruct past fire timing, fire regimes, and fire effects on individuals, communities, and ecosystems. Introduction Fire directly or indirectly affects woody plants in many ways, some of which will leave evidence in age or growth patterns in individual trees or community structure that can be cross-dated using dendrochronological methods. This evidence can be used to reconstruct past fire dates, fire regimes, and fire effects on individuals, communities, and ecosystems (“pyrodendroecology”). Fire regimes are defined as the combination of fire frequency, severity, size, seasonality, and relationships with forcing factors such as climate or changes in human land use. Fire Evidence in Trees and Community Structure A common type of fire evidence is from severe fire that kills all or most trees in an area which opens up space for new trees to establish. Even-aged forest structure is often used as evidence of past lethal fire, also referred to as “stand-replacing” fire. Such evidence provides a minimum date for the fire (i.e., the fire occurred sometime before the innermost dates of the oldest trees), and, by sampling multiple stands in an area, estimates of the fire size can be made based on broader- scale patterns of tree ages. Conversely, multiaged structure is considered to be evidence of less severe fires or other patchy mortality and recruitment events. -
An Experimental Evaluation of Fire History Reconstruction Using Dendrochronology in White Oak (Quercus Alba)
1 An experimental evaluation of fire history reconstruction using dendrochronology in white oak (Quercus alba) Ryan W. McEwan, Todd F. Hutchinson, Robert D. Ford, and Brian C. McCarthy Abstract: Dendrochronological analysis of fire scars on tree cross sections has been critically important for understanding historical fire regimes and has influenced forest management practices. Despite its value as a tool for understanding histor- ical ecosystems, tree-ring-based fire history reconstruction has rarely been experimentally evaluated. To examine the effi- cacy of dendrochronological analysis for detecting fire occurrence in oak forests, we analyzed tree cross sections from sites in which prescribed fires had been recently conducted. The first fire in each treatment unit created a scar in at least one sample, but the overall percentage of samples containing scars in fire years was low (12%). We found that scars were cre- ated by 10 of the 15 prescribed fires, and the five undetected fires all occurred in sites where fire had occurred the previous year. Notably, several samples contained scars from known fire-free periods. In summary, our data suggest that tree-ring analysis is a generally effective tool for reconstructing historical fire regimes, although the following points of uncertainty were highlighted: (i) consecutive annual burns may not create fire scars and (ii) wounds that are morphologically indistin- guishable from fire scars may originate from nonfire sources. R6um6 : L'analyse dendrochronologique des cicatrices de feu sur des sections radiales de tronc d'arbre a it6 d'une im- portance cruciale pour comprendre les regimes des feux pass& et a influenck les pratiques d'amtnagement forestier. -
Basic Tree-Ring Sample Preparation Techniques for Aging Aspen
Utah State University DigitalCommons@USU Aspen Bibliography Aspen Research 2001 Basic tree-ring sample preparation techniques for aging aspen L.A. Asherin S.A. Mata Follow this and additional works at: https://digitalcommons.usu.edu/aspen_bib Part of the Forest Sciences Commons Recommended Citation Asherin, LA and Mata, SA. 2001. Basic tree-ring sample preparation techniques for aging aspen. Shepperd, WD; Binkley, D; Bartos, DL; Stohlgren, TJ; and Eskew, LG, compilers. Sustaining Aspen in Western Landscapes: Symposium Proceedings. Proceedings RMRS-P-18. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. Fort Collins, CO. This Contribution to Book is brought to you for free and open access by the Aspen Research at DigitalCommons@USU. It has been accepted for inclusion in Aspen Bibliography by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. Basic Tree-Ring Sample Preparation Techniques for Aging Aspen Lance A. Asherin1 and Stephen A. Mata1 Abstract—Aspen is notoriously difficult to age because of its light-colored wood and faint annual growth rings. Careful preparation and processing of aspen ring samples can overcome these problems, yield accurate age and growth estimates, and concisely date disturbance events present in the tree-ring record. Proper collection of aspen wood is essential in obtaining usable ring data. Mounting of increment cores and sawn disk samples to wood backings holds samples rigid for easy surfacing. Sequential use of planers, belt sanders, and an assortment of sanding material on the surface of aspen core and disk samples can enhance visibility of tree rings. Application of stain on samples will color the late wood a dark brown and enhance the rings’ visibility. -
Tree Pruning: the Basics! Pruning Objectives!
1/12/15! Tree Pruning: The Basics! Pruning Objectives! Improve Plant Health! Safety! Aesthetics! Bess Bronstein! [email protected] Direct Growth! Pruning Trees Increase Flowers & Fruit! Remember-! Leaf, Bud & Branch Arrangement! ! Plants have a genetically predetermined size. Pruning cant solve all problems. So, plant the right plant in the right way in the right place.! Pruning Trees Pruning Trees 1! 1/12/15! One year old MADCap Horse, Ole!! Stem & Buds! Two years old Three years old Internode Maple! Ash! Horsechestnut! Dogwood! Oleaceae! Node Caprifoliaceae! Most plants found in these genera and families have opposite leaf, bud and branch arrangement.! Pruning Trees Pruning Trees One year old Node & Internode! Stem & Buds! Two years old Three years old Internode Node! • Buds, leaves and branches arise here! Bud scale scars - indicates yearly growth Internode! and tree vigor! • Stem area between Node nodes! Pruning Trees Pruning Trees 2! 1/12/15! One year old Stem & Buds! Two years old Dormant Buds! Three years old Internode Bud scale scars - indicates yearly growth and tree vigor! Node Latent bud - inactive lateral buds at nodes! Latent! Adventitious" Adventitious bud! - found in unexpected areas (roots, stems)! Pruning Trees Pruning Trees One year old Epicormic Growth! Stem & Buds! Two years old Three years old Growth from dormant buds, either latent or adventitious. Internode These branches are weakly attached.! Axillary (lateral) bud - found along branches below tips! Bud scale scars - indicates yearly growth and tree vigor! Node -
Msc Or Phd Project in Urban Dendrochronology Resilient Urban Forests for Canadians Adapting to Climate Change for Enhanced Tree-Related Benefits
MSc or PhD project in urban dendrochronology Resilient Urban Forests for Canadians Adapting to Climate Change for Enhanced Tree-Related Benefits Urban forests (UF) are associated with important ecosystem services (ES), such as heat reduction, improved air quality, and carbon storage, which benefit both environmental and human health. Yet it remains unclear how CC will impact the ability of our UF to provide these ES, how our UF will adapt, and how it could be better managed to maximize the generated benefits. We have secured significant funding from NSERC to better characterize UF with richer data, and to identify best practices for developing resilient UF that will support ES now and in the future. To do so, we are seeking excellent candidates for an MSc on the following research question. Extraordinary PhD candidates will also be considered (and project augmented accordingly). Measure the effects of climate change on urban forests using coring and dendrochronology to investigate the effects of past climatic events, such as drought, on growth. The selected candidate will integrate and benefit from a larger, interdisciplinary project framework which involves the participation of remote sensing, tree physiology, and human health specialists from both academic and governmental backgrounds, throughout Canada. The project involves travelling across Canada. Prospective students should contact us with the following information: letter of interest (1 page), CV, unofficial transcripts, and the contact information for three references. Informal inquiries are welcome. Position is based at UQAM in Montreal, Québec, Canada, a busy and lively multicultural city. UQAM is a French speaking university, but knowledge of the French language is not mandatory and Montreal is a friendly place for those hoping to learn a new language. -
From Dendrochronology to Allometry
Concept Paper From Dendrochronology to Allometry Franco Biondi DendroLab, Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA; [email protected]; Tel.: +1-775-784-6921 Received: 17 December 2019; Accepted: 24 January 2020; Published: 27 January 2020 Abstract: The contribution of tree-ring analysis to other fields of scientific inquiry with overlapping interests, such as forestry and plant population biology, is often hampered by the different parameters and methods that are used for measuring growth. Here I present relatively simple graphical, numerical, and mathematical considerations aimed at bridging these fields, highlighting the value of crossdating. Lack of temporal control prevents accurate identification of factors that drive wood formation, thus crossdating becomes crucial for any type of tree growth study at inter-annual and longer time scales. In particular, exactly dated tree rings, and their measurements, are crucial contributors to the testing and betterment of allometric relationships. Keywords: tree rings; stem growth; crossdating; radial increment 1. Introduction Dendrochronology can be defined as the study and reconstruction of past changes that impacted tree growth. The name of the science derives from the combination of three Greek words: δ"´νδρoν (tree), χρóνo& (time), and λóγo& (study). As past changes can be caused by processes that are internal as well as external to a tree, both environmental factors and tree physiology are subject to dendrochronological inquiry. Knowledge of the principles and methods of tree-ring analysis therefore allows the investigation of topics ranging from climate history to forest dynamics, from the dating of ancient ruins to the timing of wood formation. -
Summary of Sustainable Forestry and Other Research Fiscal Year 2015
Michigan Department of Natural Resources www.michigan.gov/dnr SUMMARY OF SUSTAINABLE FORESTRY AND OTHER RESEARCH FISCAL YEAR 2015 Forest Resources Division IC4117 (Rev. 06/03/2016) MICHIGAN DEPARTMENT OF NATURAL RESOURCES MISSION STATEMENT "The Michigan Department of Natural Resources is committed to the conservation, protection, management, use and enjoyment of the State’s natural and cultural resources for current and future generations." NATURAL RESOURCES COMMISSION STATEMENT The Natural Resources Commission, as the governing body for the Michigan Department of Natural Resources, provides a strategic framework for the DNR to effectively manage your resources. The NRC holds monthly, public meetings throughout Michigan, working closely with its constituencies in establishing and improving natural resources management policy. The Michigan Department of Natural Resources provides equal opportunities for employment and access to Michigan's natural resources. Both State and Federal laws prohibit discrimination on the basis of race, color, national origin, religion, disability, age, sex, height, weight or marital status under the U.S. Civil Rights Acts of 1964 as amended, 1976 MI PA 453, 1976 MI PA 220, Title V of the Rehabilitation Act of 1973 as amended, and the 1990 Americans with Disabilities Act, as amended. If you believe that you have been discriminated against in any program, activity, or facility, or if you desire additional information, please write: Human Resources, Michigan Department of Natural Resources, PO Box 30028, Lansing MI 48909-7528, or Michigan Department of Civil Rights, Cadillac Place, 3054 West Grand Blvd, Suite 3-600, Detroit, MI 48202, or Division of Federal Assistance, U.S. Fish and Wildlife Service, 4401 North Fairfax Drive, Mail Stop MBSP-4020, Arlington, VA 22203 For information or assistance on this publication, contact the Forest Resources Division, Michigan Department of Natural Resources, P.O. -
Ice-Core Dating and Chemistry by Direct-Current Electrical Conductivity Kenorick Taylor
The University of Maine DigitalCommons@UMaine Earth Science Faculty Scholarship Earth Sciences 1992 Ice-core Dating and Chemistry by Direct-current Electrical Conductivity Kenorick Taylor Richard Alley Joe Fiacco Pieter Grootes Gregg Lamorey See next page for additional authors Follow this and additional works at: https://digitalcommons.library.umaine.edu/ers_facpub Part of the Glaciology Commons, Hydrology Commons, and the Sedimentology Commons Repository Citation Taylor, Kenorick; Alley, Richard; Fiacco, Joe; Grootes, Pieter; Lamorey, Gregg; Mayewski, Paul Andrew; and Spencer, Mary Jo, "Ice- core Dating and Chemistry by Direct-current Electrical Conductivity" (1992). Earth Science Faculty Scholarship. 273. https://digitalcommons.library.umaine.edu/ers_facpub/273 This Article is brought to you for free and open access by DigitalCommons@UMaine. It has been accepted for inclusion in Earth Science Faculty Scholarship by an authorized administrator of DigitalCommons@UMaine. For more information, please contact [email protected]. Authors Kenorick Taylor, Richard Alley, Joe Fiacco, Pieter Grootes, Gregg Lamorey, Paul Andrew Mayewski, and Mary Jo Spencer This article is available at DigitalCommons@UMaine: https://digitalcommons.library.umaine.edu/ers_facpub/273 Journal of Glaciology, Vo!. 38, No. 130, 1992 Ice-core dating and chentistry by direct-current electrical conductivity KENORICK TAYLOR, Water Resources Center, Desert Research Institute, University of Nevada System, Reno, Nevada, U.S.A. RICHARD ALLEY, Earth System Science Genter and Department of Geosciences, Pennsylvania State University, University Park, Pennsylvania, U.S.A. JOE FIACCO, Glacier Research Group, Institute of the Study of Earth, Oceans and Space, University of New Hampshire, Durham, New Hampshire, U.S.A. PIETER GROOTES, Qyaternary Isotope Laboratory, University of Washington, Seatae, Washington, U.S.A. -
Determining Tree Growth in the Urban Forest
Determining Tree Growth in the Urban Forest Abstract The benefits of the urban forest are likely to become increasingly important due to rising urban populations coupled with increased and intensified climatic events. Predicting the growth of tree species would enable researchers and urban foresters to predict ecosystem services over the lifetime of the urban forest whilst providing cost-benefit analysis, urban forest resilience and succession planning i.e. an improved understanding of urban tree growth would facilitate creation of valuable and sustainable urban forests. An approach to analysing tree growth in the urban forest is explored using dendrochronology. This approach allows relationships between tree growth and previous meteorological events to be investigated. Our study found that of four tree species investigated; sycamore (Acer pseudoplatanus), ash (Fraxinus excelsior), beech (Fagus sylvatica) and oak (Quercus robur), growth was greatest in ash followed by sycamore, oak and then beech. All species followed similar radial growth trends, however, sycamore cores were the most difficult to analyse due to indistinct growth rings. Sycamore cores were also the least sensitive to meteorological conditions, which indicated that this species is least affected by climate. It may also explain why sycamore is well adapted to UK urban areas. Beech showed a significant correlation between growth, annual average temperature, and sunlight hours. No significant relationship was found for growth in any of the four species when correlated with annual precipitation. Introduction Keywords: Background dendrochronology, dendroclimatology, In order to develop viable strategies for conserving eco-system services, it growth rates, urban is important to estimate the functional value of trees and woodlands so their forest importance can be demonstrated to stakeholders and beneficiaries (TEEB, 2009). -
Maine Tree Species Fact Sheet
Maine Tree Species Fact Sheet Common Name: American Chestnut (Chestnut) Botanical Name: Castanea dentata Tree Type: Deciduous Physical Description: Growth Habit: The American chestnut is a rapidly growing tree. The bark on young trees is smooth and reddish-brown in color. On older trees the bark is dark brown, shallowly fissured, with broad, scaly ridges. The twigs are stout, greenish-yellow or reddish-brown in color and somewhat swollen at the base of the buds. The pith is star-shaped in the cross section. The http://www.dcnr.state.pa.us/forestry/commontr/images/AmericanChestnut.gif oblong, simple, alternate leaves are 10 inches long and 2 inches wide. They are narrow at the base, taper-pointed, sharply toothed and smooth on both sides. The leaves are dark green in color above and paler beneath. Height: The chestnut once grew to a height of 60-80 feet tall, sometimes reaching 100 feet or more with a trunk diameter of 10 feet. More commonly, the trunk diameter was 3-4 feet. Shape: In the forest, the chestnut has a tall, straight trunk free of limbs and a small head. When not crowded, the trunk divides into three or four limbs and forms a low, broad top. Fruit/Seed Description/Dispersal Methods: The flowers are monoecious, small and creamy yellow. They appear in catkins up to 8 inches long. They are separate, but usually appear on the same spike in the summer. The fruit is a light brown burr with spines on the outside and hair on the inside. The burr opens with the first frost exposing and dropping three nuts. -
Advancing Dendrochronological Studies of Fire in the United States
fire Perspective Advancing Dendrochronological Studies of Fire in the United States Grant L. Harley 1,* ID , Christopher H. Baisan 2, Peter M. Brown 3, Donald A. Falk 2,4, William T. Flatley 5, Henri D. Grissino-Mayer 6 ID , Amy Hessl 7, Emily K. Heyerdahl 8, Margot W. Kaye 9, Charles W. Lafon 10 ID , Ellis Q. Margolis 11 ID , R. Stockton Maxwell 12 ID , Adam T. Naito 4, William J. Platt 13 ID , Monica T. Rother 14, Thomas Saladyga 15, Rosemary L. Sherriff 16, Lauren A. Stachowiak 17, Michael C. Stambaugh 18, Elaine Kennedy Sutherland 19 and Alan H. Taylor 20 1 Department of Geography, University of Idaho, Moscow, ID 83844, USA 2 Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ 85721, USA; [email protected] (C.H.B.); [email protected] (D.A.F.) 3 Rocky Mountain Tree-Ring Research, Fort Collins, CO 80526, USA; [email protected] 4 School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA; [email protected] 5 Department of Geography, University of Central Arkansas, Conway, AR 72035, USA; wfl[email protected] 6 Department of Geography, University of Tennessee, Knoxville, TN 37916, USA; [email protected] 7 Department of Geology and Geography, West Virginia University, Morgantown, WV 26505, USA; [email protected] 8 Rocky Mountain Research Station, Fire Sciences Laboratory, USDA Forest Service, Missoula, MT 59808, USA; [email protected] 9 Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, PA 16803, USA; [email protected] 10 Department of Geography, Texas A&M University, College Station, TX 77843, USA; [email protected] 11 U.S.