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42 results for “forest properties”

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edi60/100

Historical GIS Data for Harvard Forest Properties from 1908 to Present

Since 1908, the Harvard Forest has conducted forest surveys approximately every 10-20 years on its three largest tracts (total 1033 ha). These maps have been digitized along with maps of environmental factors (topography, soils), disturbance (1938 hurricane, historical land-use), and silvicultural treatments. These datalayers will allow researchers to understand the influence of environment factors, disturbances, and silviculture on the structure and composition of modern forest stands as well as assisting in locating and describing research sites. The dataset also includes an elevation grid (NED 30 meter cells), and a shapefile of linear features (trails, stonewalls, etc). Original maps were transcribed to standardized basemaps by various researchers. These basemaps were then scanned and digitized as shapefiles in ArcView GIS 3.2. The shapefiles were then transformed to Massachusetts State Plane Meters NAD83 projection in ArcGIS and rubbersheeted to align better with aerial photographs downloaded from MassGIS. Locations of control points will be permanently archived at the Harvard Forest to facilitate transformation of future datalayers.

openCC0Dec 2023View details →
edi56/100

Soil nitrogen availability vs. acidification: effects on soil respiration, heterotrophic respiration, and soil physicochemical properties in mixed temperate forests in central New York, USA (2019-2022)

In 2011, an experimental nitrogen x pH manipulation study was initiated in mixed temperate forests in central New York, USA to disentangle the often-confounded roles of nitrogen (N) and soil pH in driving various ecosystem processes. This data package contains soil physicochemical properties (soil pH, resin available nitrogen), soil temperature, in situ soil respiration, and heterotrophic respiration measured from laboratory incubations of soils collected from experimental plots. Soil pH was measured both pre-treatment (2009-2010) and after 8 and 11 years of experimental treatment. All other properties were measured between 9 and 12 years after treatment initiation.

openCC (other)Mar 2025View details →
edi56/100

Soil Properties in CRUI Land Use Project at Harvard Forest 1995-1998

Soil properties and processes were evaluated on three types of colonial agricultural land-use - plowing, pasturing, and selective tree removal in a woodlot that ceased in the mid to late 1800s. Plowing, the most intensive type of agricultural disturbance, mixes soil to a depth of approximately 15cm, homogenizing the soil resources and likely reducing diversity in microenvironments. Removing trees and replacing them with grasses for pasture decreases the organic matter amount and types of inputs to the system, decreasing resource diversity. Woodlots, altered by selective and chronic tree removal, would have more limited decreases in resources and microenvironments. This study defines forest soil legacies using data from plots located at Harvard Forest in both amounts of soil resources and spatial heterogeneity of those soil resources. We found that for several soil parameters measured on previously cultivated and preciously pastured lands at the Harvard Forest, a legacy exists in the mineral soil, but the forest floor appears to have largely recovered from the agricultural disturbance. Parameters examined included soil mass, bulk density, organic matter content, pH, C, N, nitrogen mineralization and nitrification, Ca, Mg, K, and P.

openCC0Dec 2023View details →
edi52/100

Physical and chemical properties of soils on Watershed 5 of Hubbard Brook Experimental Forest, before and after whole-tree harvest

We sampled soils on watershed 5 at the Hubbard Brook Experimental Forest in 1983, prior to a whole-tree harvest conducted in the winter of 1983-84. We resampled in 1986, 1991, and 1998. All sampling was performed using a quantitative soil pit method. Samples of the combined Oi and Oe horizons; the Oa horizon; 0-10 cm, 10-20 cm, and >20 cm layers of mineral soil; and the C horizon were collected. Grab samples of pedogenic mineral horizons were also taken from the sides of a subset of pits in each year. Here we report soil chemistry, mass of soil, percent rock, bulk density, and organic matter. 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)Feb 2022View details →
edi48/100

Soil moisture and soil properties in Watershed 1 of the HJ Andrews Experimental Forest, 2016–2020

Soil water content was measured at 0–30 cm and 0–60 cm depth at 54 sites within a 10-ha north-facing forested slope of Watershed 1 on 14 dates from August 2016–October 2017. Soil properties were measured at 13 soil moisture sites during the summer of 2017. Soil properties include bulk density, percent sand, percent clay, percent silt, gravimetric rock content, volumetric water content at field capacity, volumetric water content at turgor loss point, and saturated hydraulic conductivity at 15 and 45 cm depth. Total soil depth and resistance to penetration were also measured at 38 sites using a dynamic cone penetrometer. Volumetric water content (VWC) and soil water potential were recorded every 30 min at 9 locations in Watershed 1. VWC sensors were installed at 5, 50, and 100 cm and soil water potential were installed at 50 cm at each location.

openCC (other)Apr 2021View details →
edi48/100

Baltimore Ecosystem Study: Physical, chemical and biological properties of forest and home lawn soils

Abstract: One-meter soil cores were taken to evaluate soil texture, bulk density, carbon and nitrogen pools, microbial biomass carbon and nitrogen content, microbial respiration, potential net nitrogen mineralization, potential net nitrification and inorganic nitrogen pools in 32 residential home lawns that differed by previous land use and age, but had similar soil types. These were compared to soils from 8 forested reference sites. Purpose: Soil cores were obtained from residential and forest sites in the Baltimore, MD USA metropolitan area. The residential sites were mostly within the Gwynns Falls Watershed (-76.012008W, -77.314183E, 39.724847N, 38.708367S and approximately 17 km2) Lawns on residential sites were dominated by a variety of cool season turfgrasses. Forest soil cores were taken from permanent forest plots of the Baltimore Ecosystem Study (BES) LTER (Groffman et al. 2006). These remnant forests are over 100 years old with soils that were comparable in type and texture to those underlying the residential study sites. Soils from all sites were from the Manor series (coarse-loamy, micaceous, mesic Typic Dystrudepts), which are well-drained upland soils with loamy textures and bedrock at 5 to 10 feet below the soil surface. To aid the site selection process we used neighborhoods in the Baltimore City metropolitan area that have been mapped using HERCULES, a high resolution land cover classification system designed to assist in the study of human-ecological systems (Cadenasso et al. 2007). Using HERCULES and additional data sources, we identified residential sites that were similar except for single factors that we hypothesized to be important predictors of ecosystem dynamics. These factors included land use history (agriculture and forest, n = 10 and n = 22), housing density (low and medium/high, n = 9 and n = 23), and housing age (4 to 58 yrs old, n = 32). Housing age was acquired from the Maryland Property View database. Prior land use was determined b

openCC (other)Dec 2023View details →
edi48/100

Soil properties in the MELNHE study at Hubbard Brook Experimental Forest, Bartlett Experimental Forest and Jeffers Brook, central NH USA, 2009 - present

The Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE) project studies N, P, and Ca acquisition and limitation of forest productivity through a series of nutrient manipulations in northern hardwood forests. We are monitoring resin N and P availability, N mineralization, and soil enzyme activities. This data set includes soil water content, soil pH, organic horizon mass, soil organic matter, bicarbonate extractable P, extractable Ca, and soil texture data. 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. This work is a contribution of the Hubbard Brook Ecosystem Study. Hubbard Brook is part of the LTER network, which is supported by the US National Science Foundation. The Hubbard Brook Experimental Forest is operated and maintained by the US Department of Agriculture, Forest Service, Northern Research Station. These data have been described and analyzed in the following publications: Shan S, Devens H, Fahey TJ, Yanai RD, Fisk MC. 2022. Fine root growth increases in response to nitrogen addition in phosphorus-limited northern hardwood forests. Ecosystems. https://doi.org/10.1007/s10021-021-00735-4 Goswami S, Fisk MC, Vadeboncoeur MA, Johnston M, Yanai RD, and Fahey TJ. 2018. Phosphorus limitation of aboveground production in northern hardwood forests. Ecology 99:438-449. https://doi.org/10.1002/ecy.2100 Ratliff TJ, Fisk MC. 2015. Phosphatase activity is related to N availability but not P availability across hardwood forests in the northeastern United States. Soil Biology and Biochemistry 94:61-69 https://doi.org/10.1016/j.soilbio.2015.11.009. Bae B, Fahey TJ, Yanai RD, Fisk MC. 2015. Soil nitrogen availability affects belowground carbon allocation and soil respiration in northern hardwood forests of New Hampshire. Ecosystem

openCC (other)Apr 2022View details →
zenodo44/100

Code and data accompanying Palmeirim et al. (2022) Emergent properties of species-habitat networks in an insular forest landscape. Science Advances

<p>Dataset containing species distribution in insular forest fragments at Balbina and full R code for analyses and figures.</p> <p>For deatails, please see the original publication: &quot;Emergent properties of species-habitat networks in an insular forest landscape&quot;. Ana Filipa Palmeirim, Carine Emer, Ma&iacute;ra Benchimol, Danielle Storck-Tonon, Anderson S. Bueno, Carlos A. Peres. Science Advances (2022). 10.1126/sciadv.abm0397.</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2021View details →
zenodo44/100

Global Airborne Observatory: Plot-level Forest Canopy Properties in Sabah, Malaysia

<p>Plot-level mapping data derived from the Global Airborne Observatory mission in Sabah (Borneo), Malaysia in 2016.&nbsp; Use of these data requires citation of this publication as well as this dataset as follows:</p> <p>Ordway E.M., G.P. Asner, D. Burslem, S. Lewis, R. Martin, R. Nilus, M.J. O&rsquo;Brien, O. Phillips, L. Qie, N.R. Vaughn, and P.R. Moorcroft. 2022.&nbsp;Mapping tropical forest&nbsp;functional variation&nbsp;at satellite remote sensing resolutions depends on key traits.&nbsp;<em>Communications Earth &amp; Environment.</em></p> <p>Asner, G.P., E. Ordway, J. Heckler, and N.R. Vaughn. 2022. Global Airborne Observatory: Plot-level Forest Canopy Properties in Sabah, Malaysia (1.0) [Data set]. <em>Zenodo</em>. https://doi.org/10.5281/zenodo.7051897</p> <p>Data details:</p> <p>(1) Data cover the Danum and Sepilok sites as described in Ordway et al. (2022) <em>Communication Earth and Environment.&nbsp;&nbsp;</em>All data layers are presented in GeoTIFF format.</p> <p>(2) ACD = Aboveground carbon density in units of Mg C per hectare at 30 meter spatial resolution, as described in&nbsp;<em>https://www.sciencedirect.com/science/article/pii/S0006320717310790</em></p> <p>(3) LAD = Leaf area density in units of m2 per m3 at 50 meter spatial resolution.</p> <p>(4) chems = Leaf chemical traits at 4 meter spatial resolution, as described in&nbsp;<em>https://www.mdpi.com/2072-4292/10/2/199</em></p> <p>(5) TCH = top-of-canopy height in units of meters, as described in&nbsp;<em>https://www.sciencedirect.com/science/article/pii/S0006320717310790</em></p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
edi44/100

The relationship between early succession rates and soil properties in the Andrews Experimental Forest, 1999-2000

This study represents only one portion of a much larger study involving a wide range of disciplines and several H.J. Andrews Forest researchers. This dataset represents all the soils data collected up through the summer of 1999. In addition, Steve Acker conducted surveys of vegetation and measuring tree growth using cores. Mark Harmon has conducted a survey of coarse woody debris. Future studies could include hydrology and species diversity. When we compared the soil characteristics between slow and expected recovery sites, the only variables showing significant differences were soil moisture, litter depth and substrate induced respiration (SIR) rates at low glucose concentrations. The litter depth was slightly less, soil moisture lower, and SIR rates higher in the slow sites. When we compared soils in adjacent uncut forests, we found that field respiration rates were lower in forests adjacent to slow recovery sites than to normal sites suggesting that these sites may have inherently lower productivities. We concluded that slow recovery after clear-cutting is most likely related to physical site characteristics; i.e. steepness of slope and aspect. There did not appear to be any difference in soil depth.

openSep 2016View details →
edi44/100

Chemical and microbiological properties of soils in the Andrews Experimental Forest (1994 REU Study)

To conduct a comprehensive study of soil chemical and microbiological properties at the HJA during the week of July 11,1994.

openCustomDec 2013View details →
edi44/100

Hubbard Brook Experimental Forest: Soil Acid-Base Properties and Microbial Activity, Watershed 1 and West of Watershed 6 (2015-2016)

In summer 2015 and spring 2016, researchers collected soils from the CaSiO3-enriched watershed at Hubbard Brook (W1) and from a nearby site west of the reference watershed at Hubbard Brook (W6). These soils were sampled throughout the hardwood zone of each watershed, and the sampling scheme explicitly examined pit-and-mound microtopographic gradients. These soils were analyzed for acid-base properties, net and gross N cycling rates, microbial biomass, and C cycling rates. 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 US Forest Service, Northern Research Station.

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

Soil inorganic and organic property data for subalpine forest, treeline, and alpine zone, 1999.

This study was initiated to examine the nitrogen content of three montane soils: subalpine, treeline and alpine; and to determine if the differences in soil nitrogen content were attributed to plant community and elevation. Soil organic matter, soil carbon, bulk density, pH and soil moisture were also measured for each site. Soil samples were collected from 64 total plots [22 subalpine,15 treeline and 27 alpine sites]. The subalpine site plots included aspen, fir, lodgepole, spruce and meadow vegetation cover. The treeline site plots included fir, spruce and meadow vegetation cover. The alpine site plots included dry meadow and mesic meadow fertilization (control, N, P, NP) plots. Soil cores were removed with 3.5-cm interior diameter PVC pipe that was driven into the soil by use of a rubber mallet. The minimum depth of individual cores was 10 cm. Cores were taken at each site three times over the period between 29 June 1999 and 29 July 1999.

openCC (other)Jan 2020View details →
zenodo40/100

Enzymes, PLFA, NLFA and soil properties measured in Juniperus thurifera forest expansion gradient

<table> <tbody> <tr> <td>Columns<span>&nbsp;</span></td> <td>Description</td> <td>Unit</td> <td>Comments</td> </tr> <tr> <td>Site</td> <td>Huertahernando, Ribarredonda, Maranch&oacute;n</td> <td>&nbsp;</td> <td>3 levels</td> </tr> <tr> <td>Stage</td> <td>Stage of forest expansion gradient (Mature forest, transition zone and expanding front)</td> <td>&nbsp;</td> <td>3 levels</td> </tr> <tr> <td>Microhabitat</td> <td>Under canopy/Open areas</td> <td>&nbsp;</td> <td>2 levels</td> </tr> <tr> <td>Sample code</td> <td>Sample code corresponding to sampling point</td> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td>Plot</td> <td>18 plots</td> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td>From F to AG<span>&nbsp;</span></td> <td>PLFAs peaks</td> <td>nmol g-1 soil</td> <td>&nbsp;</td> </tr> <tr> <td>Column AF</td> <td>NLFA peak</td> <td>nmol g-1 soil</td> <td>&nbsp;</td> </tr> <tr> <td>OM<span>&nbsp;</span></td> <td>organic matter</td> <td>%</td> <td>&nbsp;</td> </tr> <tr> <td>pH</td> <td>pH</td> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td>From AK to AQ</td> <td>Enzimes</td> <td>pmol mg-1 min-1</td> <td>&nbsp;</td> </tr> </tbody> </table>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Soil chemistry dataset from the work "Modelling and prediction of major soil chemical properties with Random Forest: machine learning as tool to understand soil-environment relationships in Antarctica"

<p>Bases sum, H+Al (potential acidity), pH, phosphorous, remaining P (P-rem), sodium and total organic carbon&nbsp;distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The quantile and prediction interval data represent the spatial uncertainty of the predictions.</p> <p>As soon as the work&nbsp;&quot;Modelling and prediction of major soil chemical properties with Random Forest: machine learning as tool to understand soil-environment relationships in Antarctica&quot; is published, the paper will be cited here.&nbsp;</p> <p>The .zip file contains the following folders:</p> <p>1) soil_chemistry_antarctica: data containing the soil chemical attributes distribution</p> <p>2) soil_chemistry_prediction_interval: uncertainty from the prediction interval 90% (Q95% - Q5%) of the soil attributes prediction</p> <p>4) soil_texture_quantile05: quantile 5% of the soil attributes prediction</p> <p>5) soil_texture_quantile95: quantile 95% of the soil attributes&nbsp;prediction</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Aggregated database of forest soil chemical properties in the Czech Republic based on surveys from 2000-2020.

<p>The dataset includes data from forest soil surveys conducted in the period 2000&ndash;2020. It provides soil and site variables from 8,269 locations. Data are aggregated in three basic soil layers: upper organic soil horizon (FH, 6,876 locations), upper mineral layer 0&ndash;30 cm (M03, 8,051 locations) and deeper mineral soil layer (30&ndash;80 cm, M38, 2,260 locations).</p> <p>This dataset is linked to the following article published in Annals of Forest Science:</p> <p>Neudertov&aacute; Hellebrandov&aacute;, K., Fadrhonsov&aacute;, V. &amp; &Scaron;r&aacute;mek, V. Aggregated database of forest soil chemical properties in the Czech Republic based on surveys from 2000 to 2020. Annals of Forest Science 81, 17 (2024). <a href="https://doi.org/10.1186/s13595-024-01225-y">https://doi.org/10.1186/s13595-024-01225-y</a></p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Temporal dynamics of canopy properties and carbon and water fluxes in a temperate evergreen angiosperm forest

<p>Dataset and code for the Manuscript "<span>Temporal dynamics of canopy properties and carbon and water fluxes in a temperate evergreen angiosperm forest"</span></p>

opencc-by-4.0Apr 2024View details →
dryad36/100

Tree communities and soil properties influence fungal community assembly in neotropical forests

<p>The influence exerted by tree communities, topography and soil chemistry on the assembly of macrofungal communities remains poorly understood, especially in highly diverse tropical forests. Here, we used a large dataset that combines inventories of macrofungal Basidiomycetes fruiting bodies, tree species composition and measurements for 16 soil physico-chemical parameters, collected in 34 plots located in four sites of lowland rainforests in French Guiana. Plots were established on three different topographical conditions: hilltop, slope and seasonally flooded soils. We found hyperdiverse Basidiomycetes communities, mainly comprising members of Agaricales and Polyporales. Phosphorus, clay contents and base saturation in soils strongly varied across plots and shaped the richness and composition of tree communities. The latter composition explained 23% of the variation in the composition of macrofungal communities, probably through high heterogeneity of the litter chemistry and selective effects of biotic interactions. The high local heterogeneity of habitats influenced the distribution of both macrofungi and trees, as a result of diversed local soil hydromorphic conditions associated to contrasting soil chemistry. This first regional study across habitats of French Guiana forests revealed new niches for macrofungi, such as ectomycorrhizal ones, and illustrate how macrofungi inventories are still paramount to can be to understand the processes at work in the tropics.</p>

opencc-zeroAug 2021View details →
zenodo36/100

Supporting dataset for "Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon"

<p>Supporting dataset for the manuscript&nbsp;&ldquo;Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon&quot;, currently under review in the&nbsp;Journal of Geophysical Research: Biogeosciences.</p>

opencc-by-4.0Jun 2023View details →
dryad36/100

Chemical properties of foliar metabolomes represent a key axis of functional trait variation in forests of the tropical Andes

Open the record for dataset details and reuse information.

publicNov 2025View details →

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dandi-nwb
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Last verified 2026-04-30Open record

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Last verified 2026-04-29Open record

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Last verified 2026-04-29Open record