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26 results for “dbh”
Tree DBH response to nitrogen and phosphorus fertilization in the MELNHE study, Hubbard Brook Experimental Forest, Bartlett Experimental Forest, and Jeffers Brook
The Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE) project studies N and P acquisition and limitation of forest productivity through a series of nutrient manipulations in northern hardwood forests. This data set includes tree diameters at breast height (DBH) collected pre-treatment (2008, 2009, and 2010), and post-treatment (2011, 2015, 2019, and 2023). Additional detail on the MELNHE project, including a datatable of site descriptions and a pdf file with the project description and diagram of plot configuration can be found in this data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=344 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. None
Canopy Trimming Experiment (CTE) plants greater than 1 centimeter diameter at breast height (DBH)
Plant diameters and growth measurements were taken both before and after treatments to determine how alterations in canopy openness and detritus affect measures of growth, mortality, and production. Both types of trimmed plots are predicted to have relatively quick evidence of re-sprouting (1-3 months; based on Hurricane Hugo studies), especially palms. Because essentially complete defoliation to the canopy took place in the trim plots, the large stems that were trimmed should experience delayed growth and higher mortality than those in non-trimmed plots. The understory vegetation, or otherwise those that were not trimmed (i.e., stems <10cm at dbh) should experience increased growth in both trim plots as a result of increased light. Some nutrient immobilization may occur in the detritus addition plots, but this is predicted to affect belowground processes most. Little influence on aboveground processes from detritus addition might occur and cause some stunted growth rates of stems. 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.
University of Kansas Field Station: Forest demography, 1980 – 2015. On ten study plots established on three management units all live trees with a dbh > 7.5 cm (3 in) were identified to species, measured, and tagged. Trees were initially measured in 1980/1981 and re-measured in three successive time periods: 1993/95; 2002/03; and 2014/15. Trees will be measured again in 2025/26.
In 1980 researchers at the University of Kansas initiated a long-term experiment monitoring the composition of oak-hickory forest communities at the University’s field station near Lawrence, Kansas. The purpose of the study was to determine how forest species composition varied temporally across distinct habitats that varied in topography, elevation, sun exposure, management history and successional stage. Ten permanent sites were sampled approximately each decade with data collection periods of 1980/81, 1993/95, 2002/03, and 2014/15. Trees with a minimum diameter at breast height (dbh) of ≥ 7.5 cm were tagged, identified to species and measured. Trees will be measured again in 2025/26.
Tree species, size class, and DBH in the University of Michigan Biological Station (UMBS) Burn Chronosequence established in 1957 and remeasured in 1979 and 1998
A complete survey of overstory vegetation and saplings in the Bob Farmer plots within the UM Biological Station clearut and burn chronosequence. Surveys were completed in 1979 and 1998 to measure the change in biomass and forest composition in the burn plots with forest succession.
Species, DBH, and height of overstory trees in a chronosequence of reforested urban sites, Lexington, KY, USA
Urban reforested areas located in Lexington, Kentucky were evaluated over the course of summer 2020. This dataset contains information on tree species, height, DBH, and snag class across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, KY. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. At each plot, we established a 0.008-ha (0.02-ac) circular sampling plot and recorded the species, diameter at breast-height (DBH), and total height of each tree ≥2.5 cm (1 in) DBH. DBH was measured to the nearest 0.25 cm (0.1 in) using a DBH tape, and tree height was measured to the nearest 0.1 m using a laser hypsometer (Nikon Forestry Pro II) or telescoping height pole. These data provide a critical baseline for understanding tree growth on reforested urban sites.
Average Tree Growth (DBH,Circumfrance,and BasalArea) at LTTG Sites, 1969-Present: Yearly
This data set is a collection of tree growth measurements from a large number of research plots. Each plot is either a stand control plot or has a treantment aplied to it (Fertilization, Thinning, or combination).
Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: II - Tree DBH and age
This dataset contiains tree level measurements of diameter at breast height (DBH) and age of aspen that were sampled in 2015 for tree ring anlyses. The tree ages provided are the age of the tree in 2015.
Future of Oak Forests experiment - DBH of trees in Black Rock Forest, New York, USA, 2007.
This data set contains the measurement of diameter at breast height (1.4 meters above ground) (dbh) for individual non-oak and oak trees at the Future of Oak Forests (FOF) experiment in Black Rock Forest (Cornwall, NY) during July and August of 2007. The North Slope site contains 12 square-shaped plots, each of 75 meters by 75 meters. Each plot was subdivided into nine equal-sized subplots, each of 25 meters by 25 meters. Within each plot, all individual oak trees with dbh of at least 2.4 centimeters were measured using metric DBH tapes (e.g. Lufkin executive thinline). Within each center subplot of a plot, all individual non-oak trees with dbh of at least 2.4 centimeters were measured using metric DBH tapes (e.g. Lufkin executive thinline). This data can be used to study the individual variation and metabolic scaling of oak and non-oak species in the Forest.
Nonlinear Height-DBH model analysis for three tropical tree species in Mt. Makiling, Philippines
<p>The study was conducted to develop the H-DBH models of three species in Mt. Makiling. Six H-DBH models (CR, EX, KF, ML, SC, and WE) were used to derive and estimate the height of three species in Mt. Makilingsix H-DBH models (CR, EX, KF, ML, SC, and WE) were used to derive and estimate the height of three species. Based on the evaluation criteria including R<sup>2</sup>, RMSE, Ē, AMD, AIC, and AIC<sub>w</sub>, the performance of the WE model was determined to be the best in predicting the height of <i>P. malaanonan</i> species while the performance of the KL model was the best both for the <i>D. </i><i>paniculatus,</i> and <i>C. luzonica</i> species. </p>
CNO-hM4D mediated perturbation of noradrenergic DBH-Cre neurons whole animal plethysmography recordings
<p>Plethysmography on conscious, unrestrained mice was carried out as described on 6-12 week old adult animals with at least 12 animals in both the experimental and control group for a given experiment. Mice were subjected to a five-day habituation protocol with each day consisting of several minutes of handling, temperature taken by rectal probe, intraperitoneal saline injection, and 30 minutes in the plethysmography chamber. Mice were then tested within one week of the last day of conditioning.</p> <p>On the day of testing, mice were taken from their home cage, weighed, and rectal temperature was taken. Animals were then placed into an airtight, temperature controlled (~32<strong>°</strong>C) plethysmography chamber and allowed to acclimate for at least 20 minutes in room air (21% O<sub>2</sub>/79% N<sub>2</sub>) conditions. After acclimation and measurement under room air, the chamber gas was switched to a hypercapnic mixture of 5% CO<sub>2</sub>/21% O<sub>2</sub>/74% N<sub>2 </sub>for 20 minutes. Chamber gas was then switched back to room air for 20 minutes. The mice were briefly removed for rectal temperature measurement and intra-peritoneal injection of clozapine-N-oxide (CNO, National Institute of Mental Health Chemical Synthesis and Drug Supply Program) dissolved in saline (0.1 mg/mL) for an effective concentration 1 mg/kg. The animal was returned to the chamber for another 20 minutes of room air, 20 minutes of hypercapnia, and 20 minutes of room air. The animal was then removed from the chamber and rectal temperature was taken immediately afterwards and again 30 minutes after the termination of the experiment. The animal was placed in its own cage during these 30 minutes at the ambient room temperature (~23<strong>°</strong>C).</p> <p>Individual recordings for all animals expressing hM4D receptors in NA neurons are in this repository. </p>
CNO-hM3D mediated perturbation of noradrenergic DBH-Cre neurons whole animal plethysmography recordings
<p>Plethysmography on conscious, unrestrained mice was carried out as described on 6-12 week old adult animals with at least 12 animals in both the experimental and control group for a given experiment. Mice were subjected to a five-day habituation protocol with each day consisting of several minutes of handling, temperature taken by rectal probe, intraperitoneal saline injection, and 30 minutes in the plethysmography chamber. Mice were then tested within one week of the last day of conditioning.</p> <p>On the day of testing, mice were taken from their home cage, weighed, and rectal temperature was taken. Animals were then placed into an airtight, temperature controlled (~32<strong>°</strong>C) plethysmography chamber and allowed to acclimate for at least 20 minutes in room air (21% O<sub>2</sub>/79% N<sub>2</sub>) conditions. After acclimation and measurement under room air, the chamber gas was switched to a hypercapnic mixture of 5% CO<sub>2</sub>/21% O<sub>2</sub>/74% N<sub>2 </sub>for 20 minutes. Chamber gas was then switched back to room air for 20 minutes. The mice were briefly removed for rectal temperature measurement and intra-peritoneal injection of clozapine-N-oxide (CNO, National Institute of Mental Health Chemical Synthesis and Drug Supply Program) dissolved in saline (0.1 mg/mL) for an effective concentration 1 mg/kg. The animal was returned to the chamber for another 20 minutes of room air, 20 minutes of hypercapnia, and 20 minutes of room air. The animal was then removed from the chamber and rectal temperature was taken immediately afterwards and again 30 minutes after the termination of the experiment. The animal was placed in its own cage during these 30 minutes at the ambient room temperature (~23<strong>°</strong>C).</p> <p>Individual recordings for all animals expressing hM3D receptors in NA neurons are in this repository. </p>
Demographic rates and stature of tree species in 13 sub-tropical forests: annual growth, annual survival, annual recruitment >( 1 cm dbh), stature (max dbh)
<p>Organisms of all species must balance their allocation to growth, survival and recruitment. Among tree species, evolution has resulted in different life-history strategies for partitioning resources to these key demographic processes. Life-history strategies in tropical forests have often been shown to align along a trade-off between fast growth and high survival, i.e. the well-known fast-slow continuum. In addition, an orthogonal trade-off has been proposed between tall stature – resulting from fast growth and high survival – and recruitment success, i.e. a stature−recruitment trade-off. However, it is not clear if these two independent dimensions of life-history variation structure tropical forests worldwide.</p> <p>We used data from 13 large-scale and long-term tropical forest monitoring plots in three continents to explore the principal trade-offs in annual growth, survival and recruitment as well as tree stature. These forests included relatively undisturbed forests as well as typhoon-disturbed forests. Life-history variation in twelve forests was structured by two orthogonal trade-offs, the growth−survival trade-off and the stature−recruitment trade-off. Pairwise Procrustes analysis revealed a high similarity of demographic relationships among forests. The small deviations were related to differences between African and Asian plots.</p> <p><em>Synthesis</em>. The fast-slow continuum and tree stature are two independent dimensions structuring many, but not all tropical tree communities. Our discovery of the consistency of demographic trade-offs and life-history strategies across different forest types from three continents substantially improves our ability to predict tropical forest dynamics worldwide.</p>
Ericsson DBH 1001 telephone
The Ericsson DBH 1001 is a telephone manufactured by the Swedish communications company Ericsson in different versions over a period of over 30 years (1931-1962). When Ericsson's Bakelite telephone became widespread across the world in the 1930s, it was referred to as the "Swedish telephone type". The model's history, however, began elsewhere. In 1931, in Oslo, Norway, engineer Johan Christian Bjerknes and artist and designer Jean Heiberg developed the first Bakelite telephone with a built-in base, dialler, and bell. The design of the lightweight (weighing around 3 kg) and relatively small device (it could be held in one hand) set a new standard for plastic telephones. From 1933, the Ericsson DBH 1001 telephone became a standard in Swedish telecommunications. The device was also exported – it was ordered in enormous quantities by the British Royal Mail, among others. Manufacturer: Ericsson LM, 1930s Inv. No. MIM 30/VIII-1 Model prepared on the basis of photogrammetric measurements Licence: CC BY-NC-SA Source: Objaverse 1.0 / Sketchfab
Basal Area Estimates for DBH Classes from ARRI Modelled Outputs
<p><strong>Summary</strong></p> <p>Basal area per acre (BAA) for ‘All’ trees, ‘Pine’ trees, and ‘Non-Pine’ trees across three diameter at breast height (DBH) size classes, 2- to 10-inch, 10- to 14-inch, and 14+ inch. Models were informed by relative density rasters from 2018 Light Detection and Ranging (lidar) point clouds.</p> <p><strong>Description</strong></p> <p>Three modelling method raster outputs of basal area per acre across three diameter at breast height (DBH) size classes are contained here. Single model raster outputs are linear regression models, ensemble linear models (LM) are mean estimates from 50 linear models, and ensemble generalized additive models (GAM) are mean estimates from 50 GAMs. The units for these single band rasters’ are square foot per acre. Rasters are divided into three tree species groups: 'All' trees, 'Pine' trees (defined as trees of the genus<em> Pinus)</em>, and 'Non-Pine' trees, and three size classes: LT 10 for trees with DBH between 2- and 10-inches, 10-14 for trees with DBH between 10- and 14- inch DBH, and GT 14 for trees with DBH greater than 14-inches.</p> <p>Ensemble generalized additive regression models (GAM) and Ensemble linear regression models (LM) of estimated tree basal area per DBH class were created from Restore field plots and relative density canopy cover rasters, or RDCC (St. Peter, et al., 2023). This ensemble GAM model was created using the R script detailed in Hogland, 2021. The ensemble LM models were created using a modification of the Hogland, 2021 script that uses the lm() function in place of the GAM modelling functions. The parameters used were 0.75 for the percent of data used to train the model (selected using random sampling with replacement), 50 models, and using gaussian family. The estimated BAA for each of the 50 ensemble GAM, and LM, models for each cell were averaged to produce the mean estimate, additionally the variability between these estimates was used to create the standard error estimate (SEE) for each cell. </p> <p> </p> <p>The 246 Restore field plots used to train the models of basal area include measurements of all trees within four non-overlapping 9m radius circular subplots within a 36m square plot. Tree diameter at breast height (DBH), species, count, and condition measurements were recorded. Measurements were summarized to the plot and DBH (square inches) was converted to basal area per acre (square feet per acre) using the formula 0.005454 * DBH^2. Restore field plots were measured in the Spring of 2018. The RDCC metrics are 5m resolution multiband rasters produced by applying a custom r software function that uses the r software’s ‘lidR’ package to produce forest metrics summarized from Light Imaging Detection and Ranging (LiDAR) point clouds. ARSA LiDAR is a combination of three collections, Block 2 and 3 were collected in early 2018 and has a NPS of 0.7-m using a Riegl VQ-1560i lidar system. Leon county LiDAR data has a nominal pulse spacing (NPS) of 0.35-m and was acquired between February 05, 2018 and April 25, 2018 using the Leica ALS80 HP SN8137 and SN8235 lidar systems. Choctawhatchee data was acquired in early 2017, using the Riegl LMS-Q1560 lidar system and has a NPS of 0.7-m. Rasters were generated in their vendor provided spatial projection before being reprojected to UTM Zone 16.</p> <p> </p> <p>The 5m resolution RDCC bands were summarized to 40x40m to correspond with the area of our plots and used as predictor variables in the models of all trees basal area. Each 5m pixel value represents the estimated basal area per acre as if it was the center of a 40x40m (8x8 cells) plot surrounding that pixel. </p> <p> </p> <p><strong>Reference</strong></p> <p>Hogland, J. (2021). Ensemble Generalized Additive Models (EGAM). Retrieved from Jupyter Notebook: <a href="https://colab.research.google.com/drive/1GnRagruTUCoPJQZSkZ2vMKS9aAKgnhEw?usp=sharing">https://colab.research.google.com/drive/1GnRagruTUCoPJQZSkZ2vMKS9aAKgnhEw?usp=sharing</a></p> <p>St. Peter, Joseph, Drake, Jason, Medley, Paul, & Ibeanusi, Victor. (2023). Relative Density Canopy Cover Outputs for Leon Lidar data in the Florida Panhandle 2018 [Data set]. In Remote Sensing (Vol. 13, Number 23, p. 4763). Zenodo. https://doi.org/10.5281/zenodo.8222114 </p> <p><strong>Credits</strong></p> <p>This dataset was built by Joseph St. Peter of FAMU’s Center for Spatial Ecology and Restoration using 2018 LiDAR data funded by Leon County, Northwest Florida Water Management District, US Geological Survey and the USDA Forest Service and processed using the r package lidR. Restore plots were funded by the Gulf Coast Ecosystem Restoration Council (RESTORE Council) through an interagency agreement with the USDA Forest Service (17-IA-11083150-001) for the Apalachicola Tate’s Hell Strategy 1 project.</p> <p><strong>Use Limitations</strong></p> <p>This spatial data is based on various data collection and processing techniques as well as on modeling or interpretation. While this data uses the most current and complete information available at the time of production, spatial data and derivative products may vary in accuracy. Spatial data are often developed from sources of differing accuracy which may be accurate only at certain scales. This data has been quality checked but may contain spurious errors or be incomplete or inappropriate for certain uses. Spatial data products used for purposes other than those for which they were created, may yield inaccurate or misleading results. The USDA Forest Service, Florida A&M University, and the Center for Spatial Ecology & Restoration (CSER) reserves the right to correct, update, modify, remove or replace GIS products at any time and without notification. This data may not be distributed without written permission from the Center for Spatial Ecology & Restoration (CSER) at Florida A&M University, and/or the USDA Forest Service.</p>
Demographic rates and stature of tree species in 13 sub-tropical forests: annual growth, annual survival, annual recruitment >( 1 cm dbh), stature (max dbh)
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Nonlinear Height-DBH model analysis for three tropical tree species in Mt. Makiling, Philippines
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Field-Acquired DBH Measurements of Trees in Durango, Mexico, using Terrestrial Laser Scanning (TLS) and Tree Caliper
<p><strong>Introduction<br></strong>The data generated in this study provide a valuable resource for developing and testing algorithms focused on circumference fitting and diameter estimation of tree stems. By combining field-measured diameters and high-resolution terrestrial laser scanning (TLS) data, the dataset includes precise point clouds representing individual trees, with diameter at breast height (DBH) measured at 1.30 meters above ground level. This standardized height ensures consistency in diameter measurements, a crucial metric in forestry and ecological studies. The dataset supports advancements in remote sensing applications, offering researchers an opportunity to refine methods for accurately determining DBH and enhancing the reliability of biomass and carbon estimation models.<strong><br><br>Study Area<br></strong>The research was conducted in Mexico within a permanent forest research plot, established based on the methodology outlined by Corral-Rivas et al. The plot covers a quadrangular area of 625 m² and is situated in the Sierra Madre Occidental region, specifically within the "La Victoria" management unit in the municipality of Pueblo Nuevo, Durango, Mexico. This area experiences a temperate climate, with average annual temperatures between 20 and 22 °C and rainfall ranging from 800 to 1200 mm per year. The dominant vegetation type is a coniferous forest, primarily consisting of <em>Pinus cooperi</em>, with an estimated tree density of 960 trees per hectare.<strong><br><br>Field Data</strong><br>In this study, we focused on 50 trees with diameters exceeding 10 cm, a commonly used threshold in forest inventory protocols for estimating biomass and carbon, chosen to enhance accuracy and consistency. According to Hoover and Smith, excluding smaller trees generally has a negligible effect on biomass estimates across most forest types, which supports the practicality of this 10 cm cutoff. This threshold also helps eliminate saplings, which can add variability due to their inconsistent growth patterns, and aligns with standard inventory practices. We conducted a conventional inventory to measure DBH for each tree, using a Häglof caliper and taking two measurements at perpendicular angles to achieve a reliable average (<strong>data_field.xlsx</strong>).<br><br><strong>Data Capture and Acquisition via Terrestrial Laser Scanning</strong><br>The terrestrial laser scanning data were collected using a FARO Focus M70 scanner, capable of measuring distances up to 70 meters with an accuracy of ±3 mm. The scanner was set to an "exterior" profile with a resolution of 1/4 and quality level of 4x, achieving an average point density of 234,679 points per square meter and a resolution of 10,310 x 4,268 points. Before starting the scans, ten targets were strategically positioned on-site to assist with alignment during post-processing. Four scans were then performed, with a 180-degree vertical angle and a 360-degree horizontal angle, capturing a complete view of the surrounding environment. The scans were merged using FARO Scene software to ensure accurate alignment. All details regarding the scanner and tree positions can be found in Appendix A.<br><br></p> <p><strong>Extraction of 2D Planes from Individual Tree Stem Point Clouds</strong><br>The point cloud was initially loaded into CloudCompare, where selected trees were manually segmented, and ground points were removed to minimize slope effects. Each tree was represented as a series of n points in three-dimensional space: <br><br>(x_1, y_1, z_1), (x_2, y_2, z_2), ..., (x_i, y_i, z_i), ..., (x_n, y_n, z_n)</p> <p>For each tree stem, a specific cylindrical section was isolated by selecting points with z-coordinates between 1.25 m and 1.35 m, filtering out points outside this range. This method enabled the extraction of a segment corresponding to the diameter at breast height (DBH).</p> <p>Following this step, the z-coordinates within the selected cylindrical sections were excluded, and duplicate points were removed, resulting in a two-dimensional dataset. This reduction in dimensionality produced a new collection of n points:</p> <p>(x_1,y_1),(x_2,y_2),…,(x_i,y_i),…,(x_n,y_n).<br><br>The information about the planes and their representation can be found in <strong>tls_tree_discs.zip</strong> and <strong>tls_tree_imgs.zip</strong>.</p>
Height and DBH measurments of Lodgepole Pine Plantations in Alaska: 1984 - 2004
Tree growth measurements (diameter at breast height - DBH) collected on lodgepole pine grown in plantations located in Alaska from 1984 to 2004.
Forest Inventories and DBH at Burned and Unburned Forest Sites, Acre, Brazil, 2017
This data set provides measurements of diameter at breast height (DBH) and species identification at four forest sites in the eastern side of Acre, Brazil including Bonal (A), Catuaba (B), Humaita (C) and Transacreana (D). The inventory locations include forests burned in 2005 and 2010 and nearby unburned areas. Inventory surveys were conducted in October and December 2017.
BOREAS HYD-03 SSA/OLD Aspen DBH Data
The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of tree diameter at breast height (DBH) from a variety of sites. This study was undertaken to predict spatial distributions of energy transfer, snow properties important to the hydrology, remote sensing signatures, and transmissivity of gases through the snow and their relation to forests in boreal ecosystems.
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