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Depth patterns of gross nitrogen cycling and soil exoenzyme activities for three northern hardwood forests

General Information
Data Package:
Local Identifier:knb-lter-hbr.257.2
Title:Depth patterns of gross nitrogen cycling and soil exoenzyme activities for three northern hardwood forests
Alternate Identifier:knb-lter-hbr.257
Abstract:

Despite the enormous size of the organic nitrogen (N) pool contained in mineral subsoils, rates of N cycling and soil exoenzyme activities are rarely measured in soils below 10 or 20 cm depth. Furthermore, assumed relationships between N mineralization rates and the activities of various decomposition exoenzymes are poorly characterized. We measured rates of gross and net N mineralization and nitrification as well as the potential activities of hydrolytic and oxidative enzymes at five soil depths (forest floor to 50 cm) in Spodosols at three hardwood forests of varying age (45 and 100 years post-harvest and old growth) at and near the Hubbard Brook Experimental Forest in New Hampshire, USA. As expected, all rates of N cycling and potential enzyme activities per unit soil mass correlated strongly with soil carbon (C) concentration, which decreased exponentially with increasing soil depth. Normalized per unit soil organic matter, N cycling rates and specific enzyme activities generally decreased little with depth within the mineral soil. Gross N mineralization rates correlated with specific activities of those enzymes that hydrolyze cellulose (β-glucosidase, cellobiohydrolase) and N-rich glucosamine polymers (N-acetylglucosaminidase), but not those that degrade protein or more complex C compounds, leading us to suggest that these N cycling measurements largely capture the N released during microbial N recycling, supported perhaps by plant C inputs rather than from decomposition of soil organic matter. Across the three stands, the youngest had a larger ratio of N- to-phosphorus-acquiring enzyme activities, consistent with expectations of greater N demand in younger than older forests. For all three stands, soil below 10 cm to 50 cm contributed 30-53% of total gross and net N cycling per unit area. Overall, even though microbial N cycling and enzyme activities per unit soil mass decreased with depth, microbial processes in subsoils contributed substantially to ecosystem-scale gross N fluxes because of the sustained microbial activity per unit soil organic matter at depth and the large size of the organic matter pool in the mineral soil. These results support the inclusion of often-ignored mineral subsoils and microbial N recycling in both ecosystem N budgets and in model simulations of N cycling and limitation, which will otherwise greatly underestimate N fluxes and the importance of microbial N dynamics.

Despite the enormous size of the organic nitrogen (N) pool contained in mineral subsoils, rates of N cycling and soil exoenzyme activities are rarely measured in soils below 10 or 20 cm depth. Furthermore, assumed relationships between N mineralization rates and the activities of various decomposition exoenzymes are poorly characterized. We measured rates of gross and net N mineralization and nitrification as well as the potential activities of hydrolytic and oxidative enzymes at five soil depths (forest floor to 50 cm) in Spodosols at three hardwood forests of varying age (45 and 100 years post-harvest and old growth) at and near the Hubbard Brook Experimental Forest in New Hampshire, USA. As expected, all rates of N cycling and potential enzyme activities per unit soil mass correlated strongly with soil carbon (C) concentration, which decreased exponentially with increasing soil depth. Normalized per unit soil organic matter, N cycling rates and specific enzyme activities generally decreased little with depth within the mineral soil. Gross N mineralization rates correlated with specific activities of those enzymes that hydrolyze cellulose (β-glucosidase, cellobiohydrolase) and N-rich glucosamine polymers (N-acetylglucosaminidase), but not those that degrade protein or more complex C compounds, leading us to suggest that these N cycling measurements largely capture the N released during microbial N recycling, supported perhaps by plant C inputs rather than from decomposition of soil organic matter. Across the three stands, the youngest had a larger ratio of N- to-phosphorus-acquiring enzyme activities, consistent with expectations of greater N demand in younger than older forests. For all three stands, soil below 10 cm to 50 cm contributed 30-53% of total gross and net N cycling per unit area. Overall, even though microbial N cycling and enzyme activities per unit soil mass decreased with depth, microbial processes in subsoils contributed substantially to ecosystem-scale gross N fluxes because of the sustained microbial activity per unit soil organic matter at depth and the large size of the organic matter pool in the mineral soil. These results support the inclusion of often-ignored mineral subsoils and microbial N recycling in both ecosystem N budgets and in model simulations of N cycling and limitation, which will otherwise greatly underestimate N fluxes and the importance of microbial N dynamics.

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.

Short Name:NBank Microbial Processes
Publication Date:2020-04-22
Language:English

Time Period
Begin:
2014-07-01
End:
2014-07-31

People and Organizations
Contact:Information Manager (Hubbard Brook Ecosystem Study) [  email ]
Creator:Darby, Brigette 
Creator:Goodale, Christine L 
Creator:Chin, Nathan A 
Creator:Fuss, Colin B 
Creator:Lang, Ashley K 
Creator:Ollinger, Scott V 
Creator:Lovett, Gary M 

Data Entities
Data Table Name:
Nbank Microbial Processes
Description:
Nbank Microbial Processes
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/257/2/07e0d916e2fb3c7a895c490f16750543
Name:Nbank Microbial Processes
Description:Nbank Microbial Processes
Number of Records:60
Number of Columns:24

Table Structure
Object Name:NBankMicrobialProcesses.csv
Size:7298 byte
Authentication:cb018d88091954acb9f17c4f1ac4c505 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 IDNoSiteAgeCoreIDDepthSoilDryMassSoilPctCSoilPctNSoilCNRatioSoild15NGroNMinGroNH4ImmGroNitGroNO3ImmNetNMinNH4NetNitNO3BGCBBXAPNAGLAPPOXABTSPOXLDOPA
Column Name:IDNo  
Site  
Age  
CoreID  
Depth  
SoilDryMass  
SoilPctC  
SoilPctN  
SoilCNRatio  
Soild15N  
GroNMin  
GroNH4Imm  
GroNit  
GroNO3Imm  
NetNMinNH4  
NetNitNO3  
BG  
CB  
BX  
AP  
NAG  
LAP  
POXABTS  
POXLDOPA  
Definition:Sample identification numberSite CodeStand Age at samplingSite Code + core ID (A, B, C, or D)Forest floor (FF), or mineral soil depth range (cm)Soil dry mass per depthSoil carbon concentrationSoil nitrogen concentrationRatio of C to N concentrationSoil 15N composition Gross N mineralization rate; milligrams N per kilogram soil per day Gross NH4 immobilization rate; milligrams N per kilogram soil per day Gross nitrification rate; milligrams N per kilogram soil per day Gross NO3 immobilization rate; milligrams N per kilogram soil per day Net N mineralization rate (from GroNMin cores); milligrams N per kilogram soil per day Net nitrification rate (from GroNit cores); milligrams N per kilogram soil per day Beta glucosidase activity; micromoles per kilogram soil per hourCellobiohydrolase activity; micromoles per kilogram soil per hourBeta xylosidase activity; micromoles per kilogram soil per hourAcid phosphatase activity; micromoles per kilogram soil per hourN-acetyl glucosaminidase activity; micromoles per kilogram soil per hourLeucine amino peptidase activity; micromoles per kilogram soil per hourPhenol oxidase activity, assessed with ABTS substrate; micromoles per kilogram soil per hourPhenol oxidase activity, assessed with LDOPA substrate; micromoles per kilogram soil per hour
Storage Type:string  
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float  
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float  
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float  
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float  
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Measurement Type:nominalnominalnominalnominalnominalratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
Definitionany text
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeW4
DefinitionHubbard Brook Watershed 4
Source
Code Definition
CodeW6
DefinitionHubbard Brook west of Watershed 6
Source
Code Definition
CodeMO
DefinitionMoosilauke
Source
Definitionany text
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeNA
DefinitionNA
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code30-50
Definitionmineral soil depth = 30-50cm
Source
Code Definition
CodeFF
DefinitionForest Floor
Source
Code Definition
Code10-20
Definitionmineral soil depth = 10-20cm
Source
Code Definition
Code0-10
Definitionmineral soil depth = 1-10cm
Source
Code Definition
Code20-30
Definitionmineral soil depth = 20-30cm
Source
UnittonnePerHectare
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitdimensionless
Typereal
Unitpermil
Typereal
UnitmilligramPerKilogramPerDay
Typereal
UnitmilligramPerKilogramPerDay
Typereal
UnitmilligramPerKilogramPerDay
Typereal
UnitmilligramPerKilogramPerDay
Typereal
UnitmilligramPerKilogramPerDay
Typereal
UnitmilligramPerKilogramPerDay
Typereal
UnitmicromolePerKilogramPerHour
Typereal
UnitmicromolePerKilogramPerHour
Typereal
UnitmicromolePerKilogramPerHour
Typereal
UnitmicromolePerKilogramPerHour
Typereal
UnitmicromolePerKilogramPerHour
Typereal
UnitmicromolePerKilogramPerHour
Typereal
UnitmicromolePerKilogramPerHour
Typereal
UnitmicromolePerKilogramPerHour
Typereal
Missing Value Code:                    
Code-999.99
ExplNo data available
Code-999.99
ExplNo data available
Code-999.99
ExplNo data available
Code-999.99
ExplNo data available
Code-999.99
ExplNo data available
Code-999.99
ExplNo data available
Code-9999.9
ExplNo data available
Code-9999.9
ExplNo data available
Code-9999.9
ExplNo data available
Code-9999.9
ExplNo data available
Code-9999.9
ExplNo data available
 
Code-99999
ExplNo data available
Code-99999
ExplNo data available
Accuracy Report:                                                
Accuracy Assessment:                                                
Coverage:                                                
Methods:                                                

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
Hubbard Brook Ecosystem Study15N pool addition, enzyme stoichiometry, extracellular enzymes, HBR, Hubbard Brook Experimental Forest, Hubbard Brook LTER, New Hampshire
LTER Network Controlled Vocabularydecomposition, microbial activity, nitrogen cycling, nitrogen mineralization, soil, soil horizons, soil nitrogen

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Taken from Darby et al. (in revision) Soil Biology and Biochemistry, with modest edits for brevity:

Soils were collected in July 2014 from three sites at and near the Hubbard Brook Experimental Forest (see Geographic Location, above). At each site, eight soil cores were collected from within a 900 m2 plot; half (n = 4 cores per site) were randomly selected for the microbial analyses described here. The forest floor (Oe/Oa) was collected by removing loose leaf litter (Oi), then using a knife to collect a block of the Oe and Oa horizons from within a 15 x 15 cm wooden frame. A diamond bit rotary corer (Rau et al., 2011) with a 9.5 cm internal diameter enabled quantitative collection of the underlying mineral soil in 10 or 20 cm increments to 50 cm depth (0-10, 10-20, 20-30, and 30-50 cm). All analyses described here were performed on all 60 soil samples (3 sites × 4 cores per site × 5 depths per core), with minor exceptions noted below. Samples were stored on ice packs during transport and at 4 °C in the laboratory until processing. Soils were sieved within 24 hours of collection, using a coarse sieve (4 mm) to quickly homogenize the sample and remove large rocks and roots. Sub-samples of sieved soil were stored at -20 °C for later use in enzyme activity assays. The remaining soil was stored at 4 °C for up to 2 more days for the N cycling assays.

Bulk density and soil C and N stocks were determined from the quantitative soil samples following Rau et al. (2011). Briefly, 10 g subsamples of sieved soil were taken for moisture determination by drying for 1 day at 110 oC, and for C and N analysis after grinding to a fine powder with a ball mill (Retsch mixer mill MM200; Verder Scientific, Newtown, Pennsylvania, USA). Soil C and N concentration and isotopic composition were measured at the Cornell Stable Isotope Laboratory in Ithaca, NY, using a Finnigan MAT Delta Plus mass spectrometer following combustion with an elemental analyzer (Carlo Erba NC2500; Thermo Finnigan, San Jose, CA, USA). Surface mineral soil pH was measured with an Accumet AB15 pH meter (ThermoFisher Scientific, Waltham, MA, USA) with a 1:2 ratio of dry soil to water.

Rates of gross N mineralization and nitrification were assessed using the isotope pool dilution method (Davidson et al., 1991; Hart et al., 1994), in which a known amount of 15NH4 + or 15NO3 - is added to a soil sample, and its rate of dilution by mineralization or nitrification of unlabeled N is measured over 24 hours. To quantify rates of gross N mineralization and 15NH4 + consumption, 7.53 μg N of 98 atom% (15NH4)2SO4 were added to a pair of 15 g field-moist sub-samples, each in a 125 mL HDPE bottle. The label, along with 1 mL of deionized water, was distributed within each sub-sample using a 250 μg syringe. One sub-sample from each pair was extracted with 50 mL of 2M KCl within 15 minutes of labeling, and the second sub-sample was extracted after incubation in the dark for 24 hours at room temperature. The KCl extracts were stored in 60 mL HDPE bottles and frozen at -20 °C until chemical analysis. The same procedure was used to estimate rates of gross nitrification and 15NO3 - consumption in another pair of subsamples using 1.63 μg N of 98% K15NO3 - per subsample.

The KCl extracts were analyzed with colorimetric methods for NH4 + (alkaline phenate) and NO3 - + NO2 - (cadmium reduction) concentrations using a Quikchem 8100 flow injection analyzer (Lachat Instruments, Milwaukee, WI, USA) at the Cary Institute of Ecosystem Studies in Millbrook, NY. The N diffusion method (Brooks et al. 1989) was used to determine 15N in the extract NH4 + or NO3 -. Extracts with small concentrations of extractable NH4 + or NO3 - were spiked with known amounts (50 or 100 μg N) of unlabeled NH4 + or NO3 - to ensure that each sample contained sufficient N for diffusion and 15N analysis. For the diffusions, two small glass fiber filters were acidified with 20 μL KHSO4, then sealed in a Teflon tape packet that was floated on each KCl extract in a 125 ml HDPE bottle that was placed on a shaker table for seven days. MgO was added to all samples to increase pH and convert NH4 + to NH3, which is trapped on the acidified filters. Devarda’s alloy was also added to the 15NO3 --labeled extracts to convert NO3 - to NH4 +; filters in these extracts collected both NH4 + and NO3 -. Filter 15N contents were analyzed at the Cornell Stable Isotope Laboratory as described above. Pre-spike 15NH4 + and 15NO3 - extract concentrations were computed using mean 15N measurements of the unlabeled spike solutions, and assuming that 15N values of the unlabeled NH4 + in the extracts for gross nitrification matched the natural abundance 15N measured in corresponding soil samples (Högberg 1997).

Gross N cycling rates were calculated using the differences in atom percent 15N enrichment above background (APE) and in inorganic N concentrations between the pre- and post-incubated samples using the equations in Hart et al. (1994), originally developed by Kirkham and Bartholomew (1954). Lack of 15N enrichment for four of the 240 diffusions prevented calculation of two each of the 60 gross mineralization and nitrification rates. One-day net N mineralization and nitrification rates were calculated using the pre- and post- incubation extractable inorganic N measurements collected during the gross N mineralization assay. Net N mineralization was calculated as ([NH4 +-N]+[ NO3 --N])incubation - ([NH4 +-N]+[ NO3 --N])initial and net nitrification was calculated as [NO3 --N]incubation- [NO3 --N]initial.

For the enzyme assay, two soil slurries were created for each soil sample, each using two grams of soil in 150 mL of a 50 mM sodium acetate buffer (pH 5.0) homogenized with a hand blender. One slurry was used for measurements of hydrolytic enzyme activity and the other for oxidative enzyme activity. Lack of material precluded analysis of oxidative enzyme activity for one sample at the old-growth site and eight samples at the mature site, including all four of its forest floor samples. For both sets of enzyme analyses, 50 µL of each sample slurry was added to 8 replicate wells in a column of a 96-well plate. Potential activities of six hydrolytic enzymes used for microbial acquisition of C-, N-, and P were quantified with fluorometric assays using the method outlined in German et al. (2011). These enzymes included two used to degrade cellulose, β-glucosidase (BG) and cellobiohydrolase (CB); one to degrade hemicellulose, β-xylosidase (BX); one to acquire phosphorus, acid phosphatase (AP); and two used to acquire N, NAG for amino sugars and LAP for amino acids. A fluorescent substrate specific to each enzyme function was added to the plate, which was then incubated in the dark at room temperature. Fluorescence was measured on a microplate reader set at 365 nm excitation and 450 nm emission. Assays were run alongside a standard curve containing soil homogenate with an increasing concentration of methylumbelliferone (MUB), except for the LAP analyses which used amidomethylcoumarin (AMC) standards (Table 2). Fluorescence was converted to units of potential enzyme activity per unit dry mass (nmol g-1 h-1) as in German et al. (2011). Potential activity of the lignolytic oxidative enzyme phenol oxidase (POX), was assessed using two different enzyme substrates, ABTS (2,20-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid)) and L-DOPA (L-3,4-dihydroxyphenylalanine), as suggested by Bach et al. (2013) on account of the variability of these assays. These activities are referred to here as POXABTS and POXLDOPA, respectively. Plates were incubated in the dark for 24 hours at room temperature after adding the L-DOPA or ABTS substrates. Before measurement, 150 µL of each well was transferred onto a clear reading plate with transparent well bottoms.

Bach, C.E., Warnock, D.D., Van Horn, D.J., Weintraub, M.N., Sinsabaugh, R.L., Allison, S.D., German, D.P., 2013 .Measuring phenol oxidase and peroxidase activities with pyrogallol, L-DOPA, and ABTS: effect of assay conditions and soil type. Soil Biology Biochemistry, 67, 183-191.

Brooks, P.D., Stark, J.M., McInteer, B.B., Preston. T., 1989. Diffusion method to prepare soil extracts for automated N-15 analysis. Soil Science Society of America Journal 53, 1707-1711.

Davidson, E.A., Hart S.C., Shanks C.A., Firestone, M.K., 1991. Measuring gross nitrogen mineralization, immobilization, and nitrification by 15N isotopic pool dilution in intact soil cores, Journal of Soil Science 42, 335-349.

German, D.P., Weintraub, M.N., Grandy, A. S., Lauber, C.L., Rinkes, Z.L., Allison. S.D., 2011. Optimization of hydrolytic and oxidative enzyme methods for ecosystem studies. Soil Biology and Biochemistry 43, 1387-1397.

Hart, S.C., Nason, G.E., Myrold, D.D., Perry, D.A., 1994. Dynamics of gross nitrogen transformations in an old-growth forest: The carbon connection. Ecology 75, 880-891.

Högberg, P. 1997. Tansley Review No. 95: 15N natural abundance in soil-plant systems. New Phytologist 137, 179-203.

Kirkham, D., Bartholomew, W.V., 1955. Equations for following nutrient transformations in soil, utilizing tracer data. Soil Science Society of America Proceedings 19, 189-192.

Rau, B.M., Melvin, A.M., Johnson, D.W., Goodale, C.L., Blank, R.R., Fredriksen, G., Miller W.W., Murphy, J.D., Todd D.E., Walker, R.F., 2011. Revisiting soil carbon and nitrogen sampling: quantitative pits versus rotary cores. Soil Science 176, 273-279.

People and Organizations

Publishers:
Organization:Hubbard Brook Ecosystem Study
Address:
234 Mirror Lake Road,
North Woodstock, NH 03262 United States
Creators:
Individual: Brigette Darby
Individual: Christine L Goodale
Id:https://orcid.org/0000-0003-4317-3983
Individual: Nathan A Chin
Individual: Colin B Fuss
Email Address:
cfuss@syr.edu
Id:https://orcid.org/0000-0002-7370-2965
Individual: Ashley K Lang
Email Address:
AKL.GR@dartmouth.edu
Id:https://orcid.org/0000-0002-6080-1681
Individual: Scott V Ollinger
Email Address:
scott.ollinger@unh.edu
Id:https://orcid.org/0000-0001-6226-1431
Individual: Gary M Lovett
Id:https://orcid.org/0000-0002-8411-8027
Contacts:
Organization:Hubbard Brook Ecosystem Study
Position:Information Manager
Address:
234 Mirror Lake Road,
North Woodstock, NH 03262 United States
Email Address:
hbr-im@lternet.edu
Web Address:
https://hubbardbrook.org

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2014-07-01
End:
2014-07-31
Sampling Site: 
Description:Nbank; Watershed 4, Hubbard Brook LTER; ~40 year old forest at sampling time.
Site Coordinates:
Longitude (degree): -71.73004Latitude (degree): 43.95442
Sampling Site: 
Description:Nbank; West of Watershed 6, Hubbard Brook LTER; ~100 year old forest at sampling tim
Site Coordinates:
Longitude (degree): -71.74051Latitude (degree): 43.9496
Sampling Site: 
Description:Nbank; Mount Moosilauke old-growth hardwoods, west of Glencliff Trail (Appalachian Trail)
Site Coordinates:
Longitude (degree): -71.85913Latitude (degree): 44.00077

Project

Parent Project Information:

Title:Collaborative Research: Nitrogen Retention and Ecosystem Succession: Theory Meets Data
Personnel:
Individual: Gary Lovett
Role:principalInvestigator
Funding: NSF-DEB 1257808
Related Project:
Title:Long-term Ecological research at the Hubbard Brook Experimental Forest
Personnel:
Individual: Gary Lovett
Role:principalInvestigator
Funding: NSF-DEB 1637685
Related Project:
Title:IGERT: From Microbe to Global Climate: Research and Training in Cross-Scale Biogeochemistry
Personnel:
Individual: Christine Goodale
Role:principalInvestigator
Funding: NSF-DGE 1069193
Related Project:
Title:NSF Graduate Research Fellowship
Personnel:
Individual: Bridget Darby
Role:principalInvestigator
Funding: NSF-DGE Grant
Other Metadata

Additional Metadata

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