Mineral soil and forest floor depth for the Hubbard Brook Valley Plots, 1997 - 1998 Survey Data
Mineral soil and forest floor depth for the Hubbard Brook Valley Plots, 1997 - 1998 Survey Data
John J. Battles
University of California, Berkeley
Environmental Science, Policy, and Management
137 Mulford Hall
Berkeley, CA 94720-3114
Tim Fahey
Department of Natural Resources, Cornell University
104A Bruckner Hall
Ithaca, NY 14853
Thomas G. Siccama
Yale School of Forestry and Environmental Studies
Paul Schwarz
Suzanne Wapner
The valley-wide plots are a grid of 431 sites along fifteen N–S transects established at 500-m intervals spanning the entire Hubbard Brook Valley. Multiple above- and below- ground attributes were measured between 1995 and 1998. This dataset includes soil core horizon depth data; tree inventory, soil chemistry data and other measurements are presented in separate datasets.
KEYWORD SET: Hubbard Brook Ecosystem Study LTER
forest floor, forests, HBEF Valleywide Plots, HBR, Hubbard Brook LTER, mineral soil, schwarz, soil, watersheds.
KEYWORD SET: LTER Core Research Areas
primary production.
The plots in this dataset are a subset of 431 plots that are located across the entire Hubbard Brook Valley. Fifteen N–S transects were established at 500-m intervals to span the entire Hubbard Brook Valley. Along the transects, a regular array of 431 500-m2 circular plots was established at distance intervals of either 25 m, 100 m, or 200 m. The subset includes all plots from every other transect. UTM coordinates of all plots are included in this dataset. A map of the plot locations can be found in: Schwarz et al, 2003.
West bounding coordinate: -71.80620
East bounding coordinate: -71.70220
North bounding coordinate: 43.9590
South bounding coordinate: 43.9140
This dataset contains mineral soil depth, forest floor depth, and sample locations for soil samples collected for element analysis from 257 plots of the total 431 valley-wide plots that Paul Schwarz and others established between 1995 and 1998. Data collected on these plots led to two publications and a doctoral dissertation (see REFERENCES). Element analysis of soil samples, additional soils data (soil depth, exchangeable cations, and texture) and tree data (species, condition, and for some tree ring increment measures and tree height) were also measured on these plots and are presented in separate datasets.
Paul Schwarz and others collected these soil data on a subset of the 431 plots that are located across the entire Hubbard Brook Valley. The following methods for establishment of the 431 plots, the selection process for the subset of 260 plots, and the soil sample collection are excerpted from Schwarz et al 2003, page 1864 (see REFERENCES). "Fifteen N–S transects were established at 500-m intervals to span the entire Hubbard Brook Valley. Along the transects, a regular array of 431 500-m2 circular plots was established at distance intervals of either 25 m, 100 m, or 200 m. The sampling layout and spacing of the plots was designed to facilitate the analysis of spatial patterns in the forest vegetation by utilizing a wide range of distance intervals between plots (Fortin et al. 1989)." UTM coordinates of all plots are included in this dataset.
A map of the plot locations can be found here: http://hubbardbrook.org/watersheds/maps/images/schwarz_plot_map.jpg
Soil samples were taken from a subset of 260 plots that consisted of all the plots from every other transect. Twelve soil cores (2 cm diameter) were collected at randomly chosen locations within each plot. The forest floor material was separated from the mineral soil, and 15cm of mineral soil was retained from each core. Four cores were taken at three locations in each plot (thus the resulting 12 cores per plot); however, some plots have an additional sampling point to compensate for very thin mineral soil conditions. Although the subset included 260 plots, only 257 plots are included in this dataset. The missing data is from plot numbers 188, 189, and 346. If a sampling point was not located randomly due to sampling constraints in the plot, it is noted in the comments section of the data table with an explanation.
  • Fortin, M.-J., Drapeau, P., and Legendre, P. 1989. Spatial autocorrelation and sampling design in plant ecology. Vegetation 83:209–222.
  • Schwarz, P.A. 2001. Spatial patterns of abundance of northern hardwood-conifer tree species in a forested valley in the White Mountains, New Hampshire, USA. PhD Disseration, Cornell University.
  • Schwarz, P.A., Fahey, T.J., Martin, C.W., Siccama, T.G., and Bailey, A.S. 2001. Structure and composition of three northern hardwood-conifer forests with differing disturbance histories. Forest Ecology and Management 144:201-212.
  • Schwarz, P.A., Fahey, T.J., and McCulloch, C.E. 2003. Factors controlling spatial variation of tree species abundance in a forested landscape. Ecology 84(7):1862-1878.
Data Use Policy

The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. Permission to use this dataset is granted to the Data User free of charge subject to the following terms:

1) Acceptable use. Use of the dataset will be restricted to academic, research, government or other not-for-profit professional purposes.

2) Redistribution. The data and metadata are provided for use by the Data User. The Data User will not redistribute the original Data Set or metadata to others without the explicit permission of the Principal Investigator.

3) Citation. It is considered a matter of professional ethics to acknowledge the work of other scientists. Thus, the Data User will properly attribute the Data Set in any publications or in the metadata of any derived data products that were produced using the Data Set. Citation should take the following general form: Creator, Year of Data Publication, Title of Dataset, Publisher, Dataset identifier.

Citation example: Holmes, R.T. 2012. Bird Abundances at Hubbard Brook (1969-2010) and on three replicate plots (1986-2000) in the White Mountain National Forest. Durham, NH. Hubbard Brook Data Archive [Database]. http://hubbardbrook.org/data/dataset.php?id=81 (23 July 2012)

4) Acknowledgment: The Data User should acknowledge any institutional support or specific funding awards referenced in the metadata accompanying this dataset in any publications where the Data Set contributed to its content. Acknowledgments should identify the supporting party, the party that received the support, and any identifying information such as grant numbers.

Acknowledgment example: Data on [topic] were provided by [name of PI] on [date]. 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, Newtown Square, PA. Significant funding for collection of these data was provided by [agency]-[grant number], [agency]-[grant number], etc.

5) Consultation and questions. Data users are strongly encouraged to consult with the Principal Investigator(s) who collected these data for further information. Also, when appropriate, Data Users should consider including the Principal Investigator as a collaborator and/or co-author in the use of these data.

6) Notification. The Data User will notify the Principal Investigator of any publication or derivative work based on the Data Set. The Data User will also provide the Principal Investigator and/or the administrator of the Hubbard Brook Ecosystem Study with a pdf or two reprints of any publication(s) resulting from use of the Data Set.

7) Disclaimer. While substantial efforts are made to ensure the accuracy of data and documentation contained in this Data Set, complete accuracy of data and metadata cannot be guaranteed. All data and metadata are made available "as is". The Data User holds all parties involved in the production or distribution of the Data Set harmless for damages resulting from its use or interpretation.

8) Terms of Agreement. By accepting this Data Set, the Data User agrees to abide by the terms of this agreement. The Data Owner shall have the right to terminate this agreement immediately by written notice upon the Data User's breach of, or non-compliance with, any of its terms. The Data User may be held responsible for any misuse that is caused or encouraged by the Data User's failure to abide by the terms of this agreement.


Information Manager, Hubbard Brook LTER
234 Mirror Lake Road
North Woodstock, NH 03262

Phone: (603) 726-8902
Email: hbr-im@lternet.edu

Data file: valley_soil_min_ff
Description: Mineral soil and forest floor depth for the Hubbard Brook Valley Plots
ColumnVariableDescriptionUnitsCoded?Missing value label
1PLOTPlot ID numbernoneynone
2UTM_EASTINGUTM Easting of plot locationmeternnone
3UTM_NORTHINGUTM Northing of plot locationmeternnone
4TRANSECTTransect ID number where the plot is locatednoneynone
5DATEDate sample was collectedYYYY-MM-DDn
6SOIL_SAMPLESample numbernoneynone
7BEARINGCompass bearing from plot center to sample locationdegreen
8DISTANCEDistance from plot center to sample locationmetern
91_MIN_THICKMineral soil thickness for sample 1centimetern
102_MIN_THICKMineral soil thickness for sample 2centimetern
113_MIN_THICKMineral soil thickness for sample 3centimetern
124_MIN_THICKMineral soil thickness for sample 4centimetern
135_MIN_THICKMineral soil thickness for sample 5centimetern
141_FF_THICKForest floor thickness for sample 1centimeternnone
152_FF_THICKForest floor thickness for sample 2centimeternnone
163_FF_THICKForest floor thickness for sample 3centimeternnone
174_FF_THICKForest floor thickness for sample 4centimetern
185_FF_THICKForest floor thickness for sample 5centimetern
19WOOD_IN_FFWood in forest floornoneynone


Variable: PLOT
Plot number
Variable: TRANSECT
Transect ID number where the plot is located
Sample number
Variable: WOOD_IN_FF
Yes there is wood in the forest floor
No there is not wood in the forest floor
Wood in forest floor
Variable: COMMENTS
Comments about the sample

Missing Value Code
Code Explanation
Unkown date
Unknown value
Unknown value
Unknown value
Unknown value
Unknown value
Unknown value
Unknown value
Unknown value
Unknown value