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17 results for “dendrometer”

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edi64/100

Dendrometer band measurement data from two tidal forest plots at GCE 11 on the Altamaha River in Southeast Georgia from December 2014 to December 2020

We established two 0.1-ha plots in December 2013. In each plot, we identified and measured DBH (diameter at breast height) of every tree using standard diameter tapes. We also placed dendrometric bands on 40 trees (20 per plot) in December 2013. Bands were measured in December 2014 as baseline measurements and yearly thereafter.

openCC (other)Nov 2023View details →
zenodo44/100

Dendrometer data in 2017-2019

<p>These&nbsp;data are on fluctuations in the dimension of tree&nbsp;stems&nbsp;measured by&nbsp;dendrometers. Supporting data are also uploaded, such as, sap flow and&nbsp;climatic conditions.</p> <p>For further details, see &quot;readme.txt&quot;.</p>

opencc-by-4.0Feb 2023View details →
edi44/100

Dendrometer studies for stand volume and height measurements of trees of the western US, 1976 to 1993

Dendrometry is used to get an accurate estimate of volume and height for individual trees. Volume tables or regressions may be generated. This method accurately accounts for taper by measuring at consecutive points up the bole.

openCustomDec 2015View details →
edi44/100

White Spruce NPP per tree calculated from dendrometer bands annually from 1994 to 2008

This data set is derived from BNZ LTER inventory plots, where band dendrometers are in place on trees within each diameter size class (typically 10 trees per 10 cm increment diameter size class). Dendrometer bands are read in the fall each year. Biomass is calculated from allometric equations, from which annual biomass increments are derived. Data are reported as the average annual growth per tree across all trees within a given landscape and successional stage and reported as kg biomass/tree/year.

openOpenNov 2009View details →
edi44/100

Aspen NPP per tree calculated from dendrometer bands annually from 1994 to 2008

This data set is derived from BNZ LTER inventory plots, where band dendrometers are in place on trees within each diameter size class (typically 10 trees per 10 cm increment diameter size class). Dendrometer bands are read in the fall each year. Biomass is calculated from allometric equations, from which annual biomass increments are derived. Data are reported as the average annual growth per tree across all trees within a given landscape and successional stage and reported as kg biomass/tree/year.

openOpenDec 2009View details →
edi44/100

Alaska paper birch NPP per tree calculated from dendrometer bands annually from 1994 to 2008

This data set is derived from BNZ LTER inventory plots, where band dendrometers are in place on trees within each diameter size class (typically 10 trees per 10 cm increment diameter size class). Dendrometer bands are read in the fall each year. Biomass is calculated from allometric equations, from which annual biomass increments are derived. Data are reported as the average annual growth per tree across all trees within a given landscape and successional stage and reported as kg biomass/tree/year.

openOpenDec 2009View details →
edi44/100

Balsam poplar NPP per tree calculated from dendrometer bands annually from 1994 to 2008

This data set is derived from BNZ LTER inventory plots, where band dendrometers are in place on trees within each diameter size class (typically 10 trees per 10 cm increment diameter size class). Dendrometer bands are read in the fall each year. Biomass is calculated from allometric equations, from which annual biomass increments are derived. Data are reported as the average annual growth per tree across all trees within a given landscape and successional stage and reported as kg biomass/tree/year.

openOpenDec 2009View details →
edi44/100

Dendrometer Band Measurements from the Coweeta LTER Terrestrial Gradient Sites, Coweeta Hydrologic Laboratory, Otto, North Carolina.

Trees for this project were banded with aluminum bands and growth increment markers to accurately measure tree growth at multiple times during the year. Trees were located on each of the five terrestrial gradient plots. Tree species, initial diameter, and subsequent calculated diameters are included for each tree.

openCustomJan 2020View details →
edi44/100

Gap dendrometer band measurements at the Coweeta Hydrologic Laboratory from 1992 to 2000 (Circumference measurements)

Tree mortality at small spatial scales represents background levels of forest disturbance in the southern Appalachians, and is the dominant and most frequent initiator of change in terrestrial ecosystems. Large-scale and rare episodic events (i.e., hurricanes, ice, etc.) may do more to influence tree replacement and stand composition in the long-run than do small scale tree mortality events. What is the ecological significance of small scale mortality events with respect to biotic and abiotic responses? We experimentally created typical (<300 m2) canopy gaps (girdling and herbicides) at two elevations in Rhododendron and non-Rhododendron areas. The measurements in this study included automated micro-environmental measurements (air and soil temperature), photosynthetically active radiation, %WC, hemispherical photography, dendrometer bands and repeated measurements, population dynamics and seedling physiology, in situ closed core N mineralization and nitrification, and small and large mammal seed and plant herbivory using exclosures. Here are some specific questions relating to this study. How are microclimate and nutrient (N) cycling affected by small scale canopy removal? What are the physiological and productivity responses of advanced regeneration? What is the productivity response of non-gap-maker trees (dominants, co-dominant, and saplings)? What strategy for recovery is most likely (seedling recruitment, sapling ingrowth, canopy closure)? How do all of the above relate to/regulate each other? What is the effect of elevation on response? How do responses differ in Rhododendron versus non-Rhododendron areas?

openCustomJan 2020View details →
edi44/100

Hubbard Brook Experimental Forest: Droughtnet dendrometer band measurements

Dendrometer bands were installed to measure tree diameter growth in the Hubbard Brook DroughtNet plots in 2014. Changes in stem diameter, basal area, and aboveground biomass can all be calculated from dendrometer band measurements, provided the tree diameter is known for at least one measurement date. Data from nearby CCASE control plots 1 and 2 can be used as references for these data (these will be part of a forthcoming separate package). These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jan 2022View details →
edi44/100

Dendrometers during drought 2013-2016 in the Luquillo Forest Dynamics Plot

96 trees of 25 species were fit with dendrometer bands in November 2012 and measured for 4 years, on average every 28 days. Initially sampling intensity was once every three months then increase to bi-weekly. The trees were located in the LFDP in 5 modified Gentry transects placed throughout (one in each corner and one in the center); tree tags are LFDP numbers corresponding with LFDP tree census data. Measurements ended in November 2016. Fine temporal-scale monitoring of tree growth using dendrometer bands in the LFDP ) (2013-2016) Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

openCC (other)Nov 2023View details →
edi44/100

Pinon-Juniper Dendrometer, Height, and Crown Area Measurements at Cerro Montosa, Sevilleta National Wildlife Refuge, New Mexico (2006-2009)

Allometry is a standard method of determining biomass and Net Primary Production of many trees. One of the standard variables used in such allometric regressions is bole diameter. On straight trunk trees measurements at breast height (DBH) taken using a DBH tape is adequate for quantifying changes in diameter over time. However, in scrub forests such as the Pinon Juniper PJ woodlands, common on the Sevilleta, both the pinon and particularly the junipers are relatively short and multi-trunked so that measurements must be taken near the ground and the consistency between measurements often lead to erroneous growth analysis. To reduce such discrepancy in readings, dendrometer bands were installed on 20 pinons and 20 junipers in the Cerro Montoso area where understory ANPP has been measured for some time. These dendrometers quantify the expansion (and contraction) of the tree bole through time. The beginning diameter at the time of installation was also measured and recorded. Heights of the 40 trees were also measured. The diameter of the foliage was measured across these trees at the widest point and then again on an axis perpendicular to this first reading. Readings of the dendrometers are repeated on about a monthly basis through the growing season. Heights of the trees are done on an annual basis. Measurements are collected to quantify the increase in bole diameter for a set of Pinons and Junipers in this area over time.

openOpenJan 2020View details →
zenodo36/100

Dendrometer and sapflow measurements of Norway spruce trees in a peatland harvesting experiment in Ränskälänkorpi

<p>Overview</p><p>This data set includes time series records of stem diameter variation and sap flow at breast height, soil water conditions and meteorology&nbsp;of/near eleven Norway spruce (<i>Picea abies</i>) trees at Ränskälänkorpi, Finland (61.2°N, 25.3°E).&nbsp;</p><p>The uploaded files contain cleaned observations of sap flow and stem radius, and all observations we processed to the same temporal resolution.&nbsp;</p><p>The data have been used in Liu&nbsp;<i>et al.</i>&nbsp;<i>Carbon source and sink limitations on boreal trees' cambial growth: implications of a coupled stomatal and growth model</i>&nbsp;(submitted to&nbsp;<i>New Phytologist</i>&nbsp;in October 2023).&nbsp;</p><p>Meanings (and units) of the columns</p><p><strong>Sheet "tree_stats"&nbsp;</strong></p><p>&nbsp;</p><p>Plot, CB = control block, SHB = selection harvest block.</p><p>DBH, diameter at breast height (cm)</p><p>SWdepth, sapwood depth (mm)</p><p>Wooddensity (kg m^{-3})</p><p>H, tree height (m)</p><p>&nbsp;</p><p><strong>The other sheets</strong></p><p>&nbsp;</p><p>DOY, day of the year</p><p>sapflow (litre per hour) measured using HPV-06 Implexx Sense.</p><p>SFD, sap flow density at breast height (mol H2O m^{-2} sapwood s^{-1}) converted from sapflow.</p><p>T_air, air temperature (°C)</p><p>RH, relative humidity (%)</p><p>VPD, vapour pressure deficit (Pa)</p><p>PPFD, photosynthetic photon flux density (mol m^{-2} s^{-1}), measured using [??? if you think worth mentioning].</p><p>Rain (mm)</p><p>D, VPD converted to mol H2O m^{-3} air using the ideal gas lawWTD, water table depth (cm) using&nbsp;Odyssey Capacitance Water loggers (Dataflow Systems Limited, Christchurch, New Zealand).</p><p>Phloem, reading of the point dendrometer (AX-5 Solartron Metrology) against the phloem (mm).</p>

opencc-by-4.0Oct 2023View details →
edi28/100

Dendrometer Data for Trees in Gentry Plots at CWT, HFR, BCI, LUQ, HJA, and NWT

Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains dendrometer data for trees in the five Gentry subplots at each experimental site. These plots were installed by the Enquist Lab and the University of Arizona as part of this macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.

openCustomMar 2016View details →
nasa28/100

Dendrometer, Soil, and Weather Observations, Arctic Tree Line, AK and NWT, 2016-2019

This dataset provides in situ measurements of radial tree growth of selected white spruce (Picea glauca) and black spruce (Picea mariana) trees, as well as simultaneous in situ measurements of environmental variables (air temperature, air pressure, relative humidity, soil temperature, volumetric water content, and solar irradiance) at two Arctic treeline sites: one in the Brooks Range of Alaska (AK), USA, and the other near Inuvik, Northwest Territories (NWT), Canada. In AK, 36 trees were monitored from June 7, 2016 to September 13, 2019, and in NWT, 24 trees were monitored from July 5, 2017 to July 25, 2019 with a sampling interval of 5- or 20-minutes for radial tree growth and 5-minutes for all environmental variables. The dendrometer data included in this dataset are only those gathered from 2016-2017. Dendrometer data from 2018-2019 are available from a related dataset. The data were collected to better understand the influence of environmental variables on radial tree growth dynamics. The data are provided in comma-separated values (CSV) format.

restrictednotspecifiedApr 2025View details →
dryad24/100

Data from: Tree circumference dynamics in four forests characterized using automated dendrometer bands

Open the record for dataset details and reuse information.

publicDec 2017View details →
zenodo20/100

Peatland trees dendrometer dataset Sweden

<p>This csv table shows all band and point dendrometers hourly time series (temperature and diameter hourly variability). IDs starting with "S" correspond to the Skogaryd-Mycklemossen peatland (58.365684, 12.169687) dataset; "F", to F&auml;jemyr (56.266363, 13.553884); "SM", to Store Mosse (57.267947, 13.917168) and "D" to Dumme Mosse (57.754818, 14.050344). The Date is in the DD.MM.YY hh:mm format. A DOY column corresponds to the day of the year, the Julian day.&nbsp;</p>

restrictedcc-by-4.0Jul 2024View details →

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