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113 results for “tree ring”
A 440-Year Reconstruction of Heavy Precipitation in California from Blue Oak Tree Rings
<p>The .xlxs file contains the instrumental and paleoclimate data used in the article by Howard, Stahle, & Dettinger titled "A 440-year reconstruction of heavy precipitation in California from blue oak tree rings." </p>
Data for publication "A comparison of pre-Millennium eruption (946 AD) and modern temperatures from tree rings in the Changbai Mountain, northeast Asia"
<p>This is the dataset used in the paper "A comparison of pre-Millennium eruption (946 AD) and modern temperatures from tree rings in the Changbai Mountain, northeast Asia". The dataset contains treering chronology from carbonized logs (trees buried by the volcanic ash of the Millennium Eruption of the Changbai Mountain volcano occurred in 946 AD) and modern living trees. We reconstruct ~300-year April temperature before the Millennium Eruption and April temperature during the last ~180 years. This dataset therefore also contains the reconstructed temperature and the climate observations of a meteorological station used for the temperature reconstruction.</p>
Towards the Third Millennium Changes in Siberian Triple Tree-Ring Stable Isotopes
<p>Triple (d13C, d18O, d2H) Tree-Ring Stable Isotopes from Siberian subarctic.</p>
Mean tree ring oxygen isotope chronologies from Ecuador and Bolivia
<p>Tree ring oxygen isotope data accompanying the paper 'The changing Amazon hydrological cycle – inferences from over 200 years of tree-ring oxygen isotope data' in JGR Biogeosciences.</p>
Tree-ring index data
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Tree-ring data from panel painting Cadmus sawing dragon's teeth (SK-A-4051) of the Rijksmuseum (Amsterdam, The Netherlands)
<p>This dataset comprises raw tree-ring series (ring widths) measured with CooRecorder (Cybis Elektronik & Data AB) from 15 X-ray computed tomography (CT) images obtained at the FleXray Laboratory of the Centrum Wiskunde & Informatica in Amsterdam from the oak (<em>Quercus</em> sp.) back panel of the <em>Cadmus sawing dragon's teeth</em> painting (Rijksmuseum <a href="http://hdl.handle.net/10934/RM0001.COLLECT.5320">http://hdl.handle.net/10934/RM0001.COLLECT.5320</a>). The CT images have been uploaded into Zenodo as three separate datasets:</p> <p>Dataset1: 10.5281/zenodo.4334010<br> Dataset2: 10.5281/zenodo.4336495<br> Dataset3: 10.5281/zenodo.4338421</p> <p>Besides the individual tree-ring series obtained from each image, the average curve resulting from merging them has also been included in this dataset (keycode Cadmus). It covers the span 1380-1548. For more information refer to the published article DOI 10.1371/journal.pone.0255792 .</p>
Climate impacts on tree-ring stable isotopes across the Northern Hemispheric boreal zone
<p>First Boreal network of triple tree-ring stable isotopes from 6 conifer tree species across 24 sites in the boreal zone. Dataset is related to the article <a href="https://doi.org/10.1016/j.scitotenv.2023.161644">https://doi.org/10.1016/j.scitotenv.2023.161644</a></p>
Dataset: Automation of tree-ring detection and measurements using deep learning
<p>Datasets used to train and evaluate neural network-based implementation that automates detection and measurement of tree-ring boundaries from coniferous species.</p> <p>SplitTrainValDatasets files contain hand-annotated squared images of <em>Picea abies</em> core samples with over 8000 ring boundaries.</p> <p>RealWorldEvaluation.zip contains real-world core samples of 4 conifer species (<em>Picea abies</em>, <em>Abies alba</em>, <em>Pinus sylvestris</em> and <em>Larix decidua</em>) used to evaluate our application and tables with the results of these evaluations.</p> <p>Full code of the application is available at https://github.com/Gregor-Mendel-Institute/TRG-ImageProcessing/tree/master.</p> <p>More details about the datasets and the application can be found in our publication: Poláček, M., Arizpe, A., Hüther, P., Weidlich, L., Steindl, S., & Swarts, K. (2022). Automation of tree-ring detection and measurements using deep learning (p. 2022.01.10.475709). bioRxiv. <a href="https://doi.org/10.1101/2022.01.10.475709">https://doi.org/10.1101/2022.01.10.475709</a>.</p> <p> </p>
Data set supporting publication "Hydrological Coupling and Decoupling of Hydric Hemi-boreal Forest Sites Inferred from Soil Water Models and Tree-Ring Chronology" by Kalvāns A. and Dauškane I. accepted for publication in the scientific journal Forests
<p>These files are supporting information for the article:</p> <p>Kalvāns, Daukškane (<em>accepted</em>). Hydrological Coupling and Decoupling of Hydric Hemi-boreal Forest Sites Inferred from Soil Water Models and Tree-Ring Chronology. <em>Forests</em></p> <p>The data set comprises following elements:</p> <ol> <li>Hydrus-1D soil water model setup files and calculation results ([1_Hydrus_1D_hydric_forest_soil_water_model_instances.zip]) for two study plots and 12 model instances, with following naming convention: [{Site Identifier}__{proportion of active leaf area index}_kLAI__{forced groundwater exfiltration rate cm/day}_SeepIn_const]. That is model instance named [P1__0.4_kLAI__0.05_SeepIn_const.h1d], considers the study site Plot_1, the active leafe area proportion is 0.4 and it has applied constant rate of groundwater exfiltration at the base of the soil column of 0.05 cm/day. The models are forced by E-OBS v26.0e data set for the period from 1980-01-01 to 2022-06-30.</li> <li>Black alder <em>Alnus glutinosa</em> tree ring chronologies for the two study plots ([2_tree_ring_data.zip])</li> <li>Soil and ground-water observation time series for the two study plots ([3_soil_ground_water_observations.zip])</li> </ol>
Data from: Towards a common methodology for developing logistic tree mortality models based on ring-width data
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Data from: Tree ring δ15N as validation of space-for-time substitution in disturbance studies of forest nitrogen status
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Tree-ring width, and tree-ring stable carbon isotope data from SW Alaska
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Data from: Extracting coherent tree-ring climatic signals across spatial scales from extensive forest inventory data
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Data from: The International Tree-Ring Data Bank (ITRDB) revisited: data availability and global ecological representativity
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Data from: Evolutionary melting pots: a biodiversity hotspot shaped by ring diversifications around the Black Sea in the Eastern tree frog (Hyla orientalis)
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Tree Rings, Huron Mountain Club
These tree ring data are from the Huron Mountain Club, Michigan as part of Alex Dye's West Virginia University PhD dissertation. His dissertation abstract is as follows: This dissertation is organized into three individual standalone manuscripts supporting the overarching theme of reconstructing annual aboveground biomass growth in temperate forests of eastern North America using dendrochronological applications. Each manuscript is organized with the intent of submission to a peer-reviewed journal. The first manuscript validated the technique I use throughout my dissertation by comparing tree-ring derived estimates of annual aboveground productivity with estimates from co-located or nearby permanent remeasurement plots at Howland, Maine, Harvard Forest, Massachusetts, and Fernow, West Virginia. The second manuscript investigated the size-related distribution of biomass growth at 16 eastern U.S. forest sites and compared results with United States Forest Service inventory plot data. The goal of this manuscript was to determine where, structurally, biomass was allocated in forests and whether these quantities changed over time and between forests. The third manuscript was inspired by the results of my second chapter. Here, I investigated whether the degree of asymmetry, or the slope of the linear regression between tree diameter and growth, is a useful indicator of total forest productivity. Previous studies linking asymmetry and productivity have been inconclusive, and this chapter evaluates consistency or lack of consistency across the same 16-site eastern U.S. forest network.
Stable carbon, oxygen and nitrogen isotopes in tree rings from temperate forests within long-term monitoring network in the UK
<p>Supporting dataset for the paper "Climate and atmospheric deposition effects on forest water‑use efficiency and nitrogen availability across Britain" by Guerrieri et al. 2020 Scientific Reports DOI is 10.1038/s41598-020-67562-w (<a href="https://www.nature.com/articles/s41598-020-67562-w">https://www.nature.com/articles/s41598-020-67562-w</a>)</p> <p>The dataset includes carbon, oxygen and nitrogen stable isotope composition measured in tree rings for four species at twelve forests across climate and atmospheric deposition gradients in Britain. Data were used to i) investigate spatial and temporal (over 30‑years) changes in tree intrinsic water use efficiency (iWUE, i.e., the ratio between CO<sub>2</sub> assimilation - A, and stomatal conductance- g<sub>s</sub>); ii) assess the possible species-specific physiological mechanisms (changes in A and/or g<sub>s</sub>) evaluate whether sites receiving high Ndep experience increase in ecosystem N availability and N saturation (using tree-ring nitrogen isotope composition as a proxy); iv) elucidate drivers of spatial and temporal changes in the isotope-derived physiological and ecological processes (i.e., relative contribution of climate vs. changes in atmospheric CO<sub>2</sub> and nitrogen and sulfur deposition). </p> <p>The following files are available:</p> <ul> <li>CSV file including: a) Site names; b) Species; c) Latitude; d) Longitude; e) Investigated years (1980-2010); f) Measured isotope-related parameters and tree ring nitrogen %. Isotope-related parameters included in the dataset are: 1) delta13C, 2) carbon isotope discrimination (Delta13C), 3) intercellular CO2 concentration (ci) and the ratio of intercellular to atmospheric CO2 concentrations (ci/ca), delta18O, estimated delta18O in precipitation (delta18OP) according to Barbour et al. 2001 (see Method in Guerrieri et al. 2020 Scientific Reports), oxygen isotope discrimination above the source water (Delta18O), delta15N. </li> <li>PDF file reporting the equations used to calculate the isotope-derived parameters, which can also be found in the paper by Guerrieri et al. 2020 Scientific Reports (accepted)</li> </ul>
Post-disturbance conifer tree-ring δ15N reflects openness of the nitrogen cycle across temperate coastal rainforests
<p>1. Post-disturbance losses in nitrogen (N) may diminish forest productivity, and soils with inherently 'open' N cycles (high nitrification rates) are considered the most vulnerable to leaching losses of NO<sub>3</sub><sup>-</sup>. Monitoring ongoing N depletion from soil profiles is challenging, but tree-ring δ<sup>15</sup>N of regenerating stands may offer an effective method for assessing site-specific, long-term soil N dynamics. Evidence to date is mixed, however, and includes increasing, unchanging, or decreasing tree-ring δ<sup>15</sup>N in young stands following stand-level disturbances, possibly because of contrasting soil fertility among study sites. In addition, a consensus on post-disturbance N trajectories is hampered by the sometimes inconsistent patterns in tree-ring δ<sup>15</sup>N found between tree species of differing mycorrhizal association.</p> <p><a name="_Hlk38376288">2. We compared tree-ring </a>δ<sup>15</sup>N of two conifer species (<i>Picea sitchensis</i> with ectomycorrhizal fungi and <i>Thuja plicata</i> with arbuscular mycorrhiza) from a replicated silviculture trial across temperate rainforests of Vancouver Island (Canada). A natural gradient in soil fertility across the six sites, driven largely by topography and parent materials, was confirmed by an <i>in situ</i> increase in N mineralization and nitrification rates with declining C:N ratios for both organic horizons and mineral soils. </p> <p>3. Five decades after logging, the overall trend in tree-ring δ<sup>15</sup>N was positive, but among individual plots there was a wide range in δ<sup>15</sup>N slopes, ranging from nearly 0 to 0.13. We found the gains in tree-ring δ<sup>15</sup>N over time were consistent between mycorrhizal types and escalated sharply (up to 6‰) with increasing N mineralization rates, although less so on flat terrain with seasonal water tables. The most recent sapwood was also enriched in <sup>15</sup>N as soil N mineralization rates increased, perhaps slightly more so for <i>T</i>. <i>plicata</i> than <i>P</i>. <i>sitchensis</i>. </p> <p>4. <i>Synthesis</i>. The correspondence of tree-ring δ<sup>15</sup>N with soil fertility may be especially strong in regenerating forests because of tree ontogeny effects, including the expansion of rooting depth and differences in N resorption efficiency with stand age. <a name="_Hlk37683599">Sharp</a> increases in tree-ring d<sup>15</sup>N underscore the vulnerability of low C:N soils with open N cycles to post-disturbance N losses, and highlight how repeated, frequent harvest cycles may risk substantial N depletion from these productive rainforest ecosystems.</p>
Primary metric measurements of USA tree rings in one dataset in JSON format.
<p>The International Tree Rings Data Bank (ITRDB) is the most comprehensive tree growth database (https://www1.ncdc.noaa.gov/pub/data/paleo/treering).</p> <p>Shoudong Zhao, et al. (2019, 2018) analyzes the representativity of dendrochronological data (ITRDB) and proposes a corrected database with error indications. One of the bottlenecks of data use (ITRDB) is that the data is loaded as a collection of separate files in the Tucson positional format.</p> <p>The purpose of our data presentation is to change the Tucson data format to JSON format and combine the separate files into one.</p> <p>We convert the initial data for the USA of 2298 rwl-files into Json format of data on tree growth in one file. The data was converted using the R programming language and the dplR program library Bunn, A. (2008)</p> <p>The experience of developing the structure of dendroclimatic data in JSON format is described in the works of Kachaev A. (2016, 2017, 2020).</p> <p>Description of the structure of JSON data format is attached in the file ReadMe.pdf</p> <p> </p> <p><em>References</em></p> <p><em>Bunn, A. G. (2008). A dendrochronology program library in R (dplR). Dendrochronologia, 26, 115-124. https://doi.org/10.1016/j.dendro.2008.01.002</em></p> <p><em>Kachaev, Alexander (2020), "Compact dataset of dendrochronological data of pri-mary metric characteristics of tree rings of Asia.", Mendeley Data, V1, doi: 10.17632 / p9zhpmzgtk.1</em></p> <p><em>Kachaev A. V. (2017) Model for describing the structure of dendroclimatic data In the collection: Regional problems of remote sensing of the Earth Materials of the IV international scientific conference. Siberian Federal University, Institute of Space and Information Technologies. p. 120-122. (Russia)</em></p> <p><em>Kachaev A. V. (2016) NOSQL Approach for Development of Dendroclimatic Data Bank. In the collection: Regional problems of remote sensing of the Earth. Materials of the III International Scientific Conference. p. 89-91. (Russia)</em></p> <p><em>Shoudong Zhao, et al. (2019). The International Tree-Ring Data Bank (ITRDB) revisited: Data availability and global ecological representativity. Journal of Biogeography, 46 (2), 355-368. doi: 10.1111 / jbi.13488</em></p> <p><em>Zhao, Shoudong et al. (2018), Data from: The International Tree-Ring Data Bank (ITRDB) revisited: data availability and global ecological representativity, Dryad, Dataset, https://doi.org/10.5061/dryad.kh0qh06</em></p>
tree rings image segmentation original
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