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opencc-by-4.0Nov 2019View details →

LMDZOR-INCA global model simulations diagnostics for mineral dust direct radiative effet calculations

This dataset contains the diagnostic variable used to estimate the mineral dust aerosol direct radiative effect from LMDZOR-INCA global simulations using different refractive index data and different size modes and a multimodal size distribution. The NetCDF files provide the radiation fields shortwave all sky (solswad, topswad) and clear sky (solswad0, topswad0) (sol is for the surface and top for the top of the atmosphere) and the longwave all sky (sollwad, toplwad) and clear sky (sollwad0, toplwad0), as monthly means over global grids. Data are provided for the mean, minimum and maximum of the complex refractive index from Di Biagio et al. (2017) ( https://doi.org/10.5194/acp-17-1901-2017 ) and the refractive index by Volz et al. (1973) ( <a href="https://doi.org/10.1364/AO.12.000564">https://doi.org/10.1364/AO.12.000564</a> ) in the longwave spectral range and for the refractive index by Balkanski et al. (2007) ( https://doi.org/10.5194/acp-7-81-2007) corresponding to 1.5% hematite by volume in the shortwave range. Simulations are performed for four lognormal size distributions with mass median diameters (sigma) of 1 µm (1.8), 2.5 µm (2), 7 µm (1.9), 22 µm (2). The multimodal run is performed on the size distribution obtained as the sum of the four modes combined follwing the mass fractions of 0.6%, 4.3%, 31.5%, and 63.6% for the four modes, respectively. Variables for the dust atmospheric load and optical depth at 550 nm for each mode are in the mean run for each mode. Input mass extinction efficiency (Ext, m2/g), absorption exitinction efficiency (Abs, m2/g), single scattering albedo (w) and asymmetry factor (g) for the different radiative bands at at some wavelengths used in the MODIS sensor are provided in the 1MODE_xxum_dust_optical_data_1.5dielectric_mixture.

opencc-by-4.0Jan 2023View details →

3-D model data used to investigate the role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds

These simulations were run by Chemical Transport Model TM4-ECPL covering the years 2009-01 to 2016-12 and are used for the bellow publication: Chatziparaschos, M., Daskalakis, N., Myriokefalitakis, S., Kalivitis, N., Nenes, A., Gonçalves Ageitos, M., Costa-Surós, M., Pérez García-Pando, C., Zanoli, M., Vrekoussis, M., and Kanakidou, M.: Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-551, in press 2023. Laboratory: Environmental Chemical Processes Laboratory (EPCL), Department of Chemistry, University of Crete, Heraklion. contact: Kanakidou Maria <mariak@uoc.gr> Model resolution: 2x3 Model Levels: 25 Data info: DU_m2m(time, lev, lat, lon) short_name :DU_m2m long_name : Dust mode 2 mass accumulation DU_m3m(time, lev, lat, lon) short_name : DU_m3m long_name : Dust mode 3 mass coarse qua2_acc(time, lev, lat, lon) short_name :qua2_acc long_name :Quartz – accumulation mode qua2_coa(time, lev, lat, lon) short_name :qua2_coa long_name :Quartz – coarse mode FEL_acc(time, lev, lat, lon) short_name :FEL_acc long_name : K-Feldspar – accumulation mode FEL_coa(time, lev, lat, lon) short_name :FEL_coa long_name : K-Feldspar – coarse mode INP_QUA(time, lev, lat, lon) short_name :INP_QUA long_name :Ice Nucleating Particles derived form Quartz INP_FELD(time, lev, lat, lon) short_name :INP_FELD long_name :Ice Nucleating Particles derived form K-Feldpsar

opencc-by-4.0May 2023View details →

Global Earth Mineral Inventory Data Dump

Contains data dumps of various versions of the Global Earth Mineral Inventory (GEMI) - One of the Deep carbon observatory data legacies.

opencc-by-4.0May 2022View details →

Spectral Library of European Pegmatites, Pegmatite Minerals and Pegmatite Host-Rocks – The Greenpeg Database

Spectral signature, obtained through reflectance spectroscopy studies, of European pegmatites and minerals, as well of their host rocks. Samples include LCT- and NYF-type pegmatites and host rocks from pegmatite locations in Austria, Ireland, Norway, Portugal, and Spain. Sample preparation and spectral measurement were conducted in the Universidade do Porto – Faculdade de Ciências (UPORTO) laboratories. The database contains the reflectance spectra (raw and with continuum removed), sample photographs, and main absorption features automatically extracted by a Python routine. Whenever possible, spectral mineralogy was interpreted based on the continuum-removed spectra. A detailed description of the database, its content, the measuring instrument, and interoperability with GIS is found in the database report.

opencc-by-4.0Jun 2023View details →

Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts. Soil and airborne mineral fraction datasets.

These datasets correspond to soil and airbone mass mineral fractions as described and generated for "Modeling dust mineralogical composition: sensitivity to soil mineralogy" by Gonçalves Ageitos, M.,  Obiso, V., Miller, R.L., Jorba, O., Klose, M., Dawson, M., Balkanski, Y., Perlwitz, J., Basart, S., Di Tomaso, E., Escribano, J., Macchia, F., Montané, G., Mahowald, M.M., Green, R.O., Thompson, D.R. and Pérez García-Pando, C., ACP, 2023.    There are 4 netCDF files that include the soil mass mineralogical fractions (0-1) in the clay (0-2 \(\mu\)m in diameter) and silt (2-63 \(\mu\)m in diameter) size classes as derived from the works of Claquin et al., (1999), and updated by Nickovic et al. (2012): C1999-SMA, and Journet et al. (2014): J2014-SMA. The data is mapped in a regular global grid with a horizontal resolution of 0.083º. Additional information on the FAO soil units, and soil texture data from HWSDv1.2 is provided in the J2014-SMA files.   File details:  <ul> <li>C1999-SMA_CLAY_minfrac_0.083deg.nc - Claquin et al. (1999), Nickovic et al. (2012) soil mineralogy data for the clay fraction.</li> <li>C1999-SMA_SILT_minfrac_0.083deg.nc - Claquin et al. (1999), Nickovic et al. (2012) soil mineralogy data for the clay fraction.</li> <li>J2014-C2-SMA_CLAY_minfrac_0.083deg.nc - Journet et al. (2014) case 2 with the changes reported in Gonçalves Ageitos et al. (2023) soil mineralogy data for the clay fraction.</li> <li>J2014-C2-SMA_SILT_minfrac_0.083deg.nc - Journet et al. (2014) case 2 with the changes reported in Gonçalves Ageitos et al. (2023) soil mineralogy data for the clay fraction.</li> </ul> There are 2 additional files that report the multiannual (2006-2010 period) monthly mean of the aerosol mass mineral fractions as obtained from the MONARCH model simulations described in Gonçalves Ageitos et al. (2023). The mass fractions are provided in each of the 8 size bins used in the model (ranging from 0.2 to 20 \(\mu\)m in diameter), and normalized so as to sum 1 (i.e., the sum of all minerals in all bins equals 1). Note that in order to reduce the size of these files, the variables have been compressed to short format and include an offset and scale factor as attributes.  File details:  <ul> <li>20062010_monarch_minfrac_C1999.nc - climatology (2006-2010 multiannual monthly mean) of size distributed mass mineral fractions as derived from the MONARCH C1999 experiment. </li> <li>20062010_monarch_minfrac_J2014.nc - climatology (2006-2010 multiannual monthly mean) of size distributed mass mineral fractions as derived from the MONARCH J2014 experiment. </li> </ul>   Legend for the minerals: quar: quartz, feld: feldspars, calc: calcite, gyps: gypsum, illi: illite, mont: montmorillonite/smectite, kaol: kaolinite, verm:vermiculite, chlo: chlorite, mica: mica, hema: hematite, goet: goethite, irox:iron oxides (hematite and goethite).  References: Claquin, T., Schulz, M., and Balkanski, Y. J.: Modeling the mineralogy of atmospheric dust sources, Journal of Geophysical Research Atmospheres, https://doi.org/10.1029/1999JD900416, 1999. FAO-UNESCO: Soil Map of the World- Volume I Legend, Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization, Paris, http://www.fao.org/3/as360e/as360e.pdf, 1974. FAO-UNESCO: Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization. Digital Soil Map of the World and Derived Soil Properties, Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization, Rome, 1995. FAO/IIASA/ISRIC/ISSCAS/JRC: Harmonized World Soil Database (version 1.2), Food and Agriculture Organization, FAO, Rome, Italy and IIASA, Laxenburg, Austria, 2012. Journet, E., Balkanski, Y., and Harrison, S. P.: A new data set of soil mineralogy for dust-cycle modeling, Atmospheric Chemistry and Physics, 14, 3801–3816, https://doi.org/10.5194/acp-14-3801-2014, 2014. Nickovic, S., Vukovic, A., Vujadinovic, M., Djurdjevic, V., and Pejanovic, G.: Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling, Atmospheric Chemistry and Physics, 12, 845–855, https://doi.org/10.5194/acp-12-845-2012, 2012.

openCC (other)Jun 2023View details →

Effects of drying temperature on potential carbon mineralization and water-extractable organic carbon in Iowa cropland and riparian buffer soils

Measuring carbon dioxide (CO2) produced after re-wetting a previously dried soil is an increasingly popular soil health assay, but there is disagreement on the optimal soil drying temperature. We tested whether soil drying temperature impacts water-extractable organic carbon (WEOC) and soil CO2 emissions (potential carbon mineralization) following rewetting of dried soil. Samples were collected at four sites in north-central Iowa, US, and each site had soils planted to corn/soybean or perennial vegetation. The dataset includes measurements of WEOC prior to the incubation experiment, and measurements of CO2 flux and its stable carbon isotope ratio over the course of a 28-day incubation. The manuscript describing these data is under review in Geoderma.

openCC (other)Aug 2023View details →

Geochemical characterization of mineral particulate aggregates and associated biomass collected in boreholes at the Soudan Underground Mine State Park, Soudan, MN, USA.

Mineral and biological samples were collected from boreholes on the 27th level of the Soudan Underground Mine State Park, Soudan, MN, USA. These samples were characterized in order to describe the biogeochemical cycling of iron and sulfur in the crustal regions accessed by the mine's boreholes as well as the microbial communities supported by and responsible for that biogeochemical cycling. The mineral samples were characterized through X-ray diffraction and Fe XANES, the microbial biomass associated with the mineral aggregates was characterized through C XANES, and the microbial community was characterized through the assembly of metagenomes.

openCC (other)Mar 2018View details →

Alberta Bog Net Nitrogen Mineralization, 2013-2015

Alberta bogs are subject to periodic wildfire. Although these bogs have persisted under low atmospheric nitrogen deposition (less than 2 kg N/ha/yr), nitrogen deposition in northern Alberta is increasing due to ongoing oil sands development. This study examined how time since fire and experimental N deposition affects nitrogen mineralization in near-surface bog peat. Net nitrogen mineralization (ammonification, nitrification, dissolved organic N production) was quantified using the buried bag technique in 5 Alberta bogs differing in time since fire. At each site, 24 2.4 _ 4.8 m plots were established, with 6 replicate plots receiving one of four N addition treatments: controls (receiving no water or N), H2O controls (receiving water, but no N; 0 kg N ha-1 yr-1), and 10 and 20 kg N ha-1 yr-1, applied as NH4NO3 dissolved in 15 L of H2O and applied via backpack sprayer eight times during each summer field season. We established plots and began N additions in 2011 at the Utikuma Bog site and in 2013 for the other four sites. This study is published as: Stuart JEM, Wieder RK, Vile MA (2018) Net Nitrogen Mineralization in Alberta Bog Peat is Insensitive to Experimentally Increased Nitrogen Deposition and Time Since Wildfire. Biogeochemistry, in press.

openOpenMar 2009View details →

Nitrogen cycling at treeline V. Insitu Nitrogen mineralization

To assess spatial and seasonal patterns of pools and fluxes of dissolved inorganic- N (DIN), amino acid- N (AAN) and microbial biomass N (MBN), we conducted in situ soil incubations at four time periods during May 2001 - May 2002: spring thaw, peak growing season, fall senescence and over-winter. The goal was to be consistent in sampling each of these time periods within each mountain range, which was possible due to the 3-4 week lag in phenology (e.g. budbreak or initiation of senescence) between the southernmost and northernmost sites. Sites were sampled in order from south to north. During the spring 2002 sampling period, soils in the Brooks Range thawed prior to those in the White Mts. and the sampling sequence was adjusted to accommodate this. Within each treeline or forested sub-site, a 50 m transect was established parallel with the slope contour of the mountain. Six points were randomly selected along each transect, and soils were sampled near these points for the entire year. Rates of net DIN mineralization and net AAN production were measured using an in situ buried bag technique (Robertson et al., 1999). We used a 6.7 cm diameter steel corer fitted with a perforated, plastic sleeve to collect paired adjacent soil cores, and sampled below the live moss and detritus layers to a depth of 20 cm. The function of the perforated sleeve was to maintain structural integrity of the soil core during sampling. The perforated sleeve containing the intact core was then placed in a 1 mil breathable polyethylene bag followed by a fine mesh bag, gently returned to the original location, covered with litter and left to incubate. Incubation length was 4 weeks for the spring, growing season, and senescence sampling periods, and from September 2001 to early June 2002 for the over-winter sampling period. The second core in each pair was stored on ice and transported to the laboratory in Fairbanks. Soils were rocky at some sites and sampling to 20 cm was not possible; for these

openOpenMay 2019View details →

Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: III - Climate, leaf mining, and NDVI data

This dataset contiains annual site-level measurements from 2004 - 2015 of growing season climate moisture index ( GS CMI; summed CMI from May - September), average site level leaf mining, and mean July - August normalized difference vegetation index (NDVI) derived from Landsat, GIMMS3g, MODIS Aqua, and MODIS Terra

openCC0Mar 2024View details →

Nitrogen mineralization rate: BioCON : Biodiversity, Elevated CO2, and N Enrichment

BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe

openCC (other)Mar 2021View details →

Hubbard Brook Experimental Forest: In-situ Nitrogen Mineralization and Nitrification measurements for 4 winter climate change projects

These data are from four separate projects undertaken between 1997 and 2017. The first of these are two snow manipulation (freeze) projects: 1) In 1997, as part of a study of the relationships between snow depth, soil freezing and nutrient cycling, we established eight 10 x 10-m plots located within four stands; two dominated (80%) by sugar maple (SM1 and SM2) and two dominated by yellow birch(YB1 and YB2), with one snow reduction (shoveling) and one reference plot in each stand. 2) In 2001, we established eight new 10-m x 10-m plots (4 treatment, 4 reference) in four new sites; two high elevation, north facing and (East Kineo and West Kineo) two low elevation, south facing (Upper Valley and Lower Valley) maple-beech-birch stands. To establish plots, we cleared minor amounts of understory vegetation from all (both treatment and reference) plots (to facilitate shoveling). Treatments (keeping plots snow free by shoveling through the end of January) were applied in the winters of 1997/98, 1998/99, 2002/2003 and 2003/2004. The Climate Gradient Project was established in October 2010. Here we evaluated relationships between snow depth, soil freezing and nutrient cycling along an elevation/aspect gradient that created variation in climate with little variation in soils or vegetation. We established 6 20 x 20-m plots (intensive plots) and 14 10 x 10-m plots (extensive plots), with eight of the plots facing north and twelve facing south. The Ice Storm project was designed to evaluate the damage and changes ice storms cause to northern hardwood forests in forest structure, nutrient cycling and carbon storage. Ten 20x30 meter plots were established in a predominately sugar maple stand, with 4 icing treatments and 2 control plots. The treatments are as follows: Low (0.25"), Mid (0.5"), Midx2 (0.5") 2 Years in a row, High: (0.75"), Control. The icing treatment was conducted in the winter of 2015-2016, with a second year of icing on the Midx2 treatments plots in the winter of 20

openCC (other)Apr 2020View details →

Effects of microarthropod exclusion and water amendments on fluffgrass rhizosphere nitrogen mineralization potential at the Jornada Basin LTER site in 1987

This data package contains data on soil nitrogen mineralization potential in the rhizosphere of fluffgrass (Dasyochloa pulchella) plants from 1987. This study was conducted at the Chihuahuan Desert Rangeland Research Center to test how watering, and changing densities of soil microarthropods and nematodes, impacts fluffgrass growth and nutrient cycling. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments:1) Chlordane (to exclude microarthropods), 2) Chlordane and water, 3) Water, and 4) Control. Three randomly located subsamples were taken from each plot and consisted of the fluff grass plant, a 10 cm in diameter and 15 cm deep soil core centered on each plant. Samples were incubated for 0, 2, 4, or 8 weeks. This data set contains information on the incubation time, soil nitrate (NO3-), soil ammonium (NH4+), and soil water content for each subsample. This data were collected in May 1987 and the study is complete.

openCC (other)Sep 2020View details →

Grassland and mesquite shrubland soil nitrogen mineralization potential from leaching soil incubations at the Jornada Basin LTER, 1986

This data package contains data on soil nitrogen mineralization potential in a variety of grass and mesquite habitats during the early years of the Jornada Basin LTER project (I-II). Soil cores were collected from Jornada Experimental Range and Chihuahuan Desert Rangeland Research Center (CDRRC) lands in May 1986, and observed in a leaching incubation study. The purpose of this study was to measure inorganic soil nitrogen in the context of the shift from grasslands to mesquite dominated ecosystems. Sites include fluff grass (Dasyochloa pulchella), black grama (Bouteloua eriopoda), Sporobolus/Gutierrezia, playa mesquite (Prosopsis glandulosa), and arroyo mesquite ecosystem types. Soil samples were collected on May 12-13, 1986 within the clumps of grass or beneath mesquite at each site, generally 20 cm deep or to the hard pan (whichever came first). During the incubation study, inorganic nitrogen leaching was measured for 28 weeks for each sample. This study is complete.

openCC (other)Nov 2023View details →

Leaf miners (Acrocercops species) larvae performance on young leaves of Manilkara bidentata

Manilkara bidentata is attacked by a specialist leaf miner(Acrocercops sp.(microlepidoptera:gracillariidae).Â More than one larvae can be found per mine within a leaf. The purposes of this study is to determine the effect of group feeding for this species since larval density within a leaf vary from 1-14 larvae per mine (Angulo-Sandoval personal observation). This variation allows to determine the effect of larval density on the amount of leaf damage, larval survivorship and larval growth. Leaves with mines varied in area from 10 to 224 cm2 (mean = 85.7 cm2) and the number of larvae per leaf ranged from 1 to 14 (mean = 5.7 larvae/mine). There was no relation between the size of the leaf and the number of larvae found within the leaf. There was a relationship between the number of larvae in a blotch mine and amount of damaged tissue. Herbivory increases from approximately 10% for one larva per leaf to 50% in leaves with eight larvae. In leaves with more than eight larvae, herbivory decreased . There was an effect of initial larval density on percent larval survivorship.Survivorship was high (70%) in leaves with one to three larvae. In intermediate density (4-8 larvae per mine) 50% of larvae survived and in high densities (9 - 14 larvae per mine), only 22% survived. Even though there was a decrease in larvae number in high densities, the final number of larvae remained higher, compared with low or intermediate densities. A linear relationship was found between number of larvae present in the leaf and the time it took the larvae to complete their larval stage. Larvae in high density (> 9 larvae per mine) tended to develop faster (3-8 days) than larvae in low densities (5 - 10 days). Larval size upon emergence ranged from 8 to 12 mm (mean= 9.27) but there was no effect of larval density on the final larval size. The total number of surviving larvae varied according to the initial larval number and was highest in mines with eight individuals of which on average 4.7 su

openCC (other)Apr 2023View details →

Canopy opening increased leaf shredding arthropods and nutrient mineralization but not mass loss in a wet tropical forest

Canopy opening increased leaf shredding arthropods and nutrient mineralization but not mass loss in a wet tropical forest 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-by-4.0Feb 2015View details →

Figure 3 in Intense inhabitation and relaxed host-leaf preference of aquatic chironomid leaf-miners in headwater streams in Asian lucidophyllous forests

Figure 3. Frequency distributions of unmined (open) and mined (solid) leaves among representative plant species. (Cs, Castanopsis sieboldii; Qg, Quercus glauca; Qm, Quercus miyagii; Mj, Machilus japonica; Mt, Machilus thunbergii; Mr, Myrica rubra; Ot, others.)

opencc-by-4.0Feb 2015View details →

Figure 2 in Intense inhabitation and relaxed host-leaf preference of aquatic chironomid leaf-miners in headwater streams in Asian lucidophyllous forests

Figure 2. Habitats and leaf-mining habits of Stenochironomus okialbus. (A–B) headwater streams at S4 and S9; (C) submerged litter at S9; (D–F) leaf-mines; (G) a larva undulating in a mine; (H) a pupa; (I) head of a mining larva; (J–K) a female and a male adult midge. Plant species of the leaves: C, D, G, I: Castanopsis sieboldii; E, H: Dendropanax trifidus; E: Myrica rubra.

opencc-by-4.0Sep 2021View details →

Assessing Nitrogen Availability in Biobased Fertilizers: Effect of Vegetation on Mineralization Patterns

Biobased nitrogen (N) fertilizers derived from animal manure can substitute synthetic mineral N fertilizer and contribute to more sustainable agriculture. Practitioners need to obtain a reliable estimation of the biobased fertilizers’ N value. This study compared the estimates for pig slurry (PS) and liquid fraction of digestate (LFD) using laboratory incubation and plant-growing experiments. A no-N treatment was used as control and calcium ammonium nitrate (CAN) as synthetic mineral fertilizer. After 100 days of incubation, the addition of PS and LFD resulted in a net N mineralization rate of 10.6 ± 0.3% and 20.6 ± 0.4% of the total applied N, respectively. The addition of CAN showed no significant net mineralization or immobilization (net N release 96 ± 6%). In the pot experiment under vegetation, all fertilized treatments caused N immobilization with a negative net N mineralization rate of −51 ± 11%, −9 ± 4%, and −27 ± 10% of the total applied N in CAN, PS, and LFD treatments, respectively. Compared to the pot experiment, the laboratory incubation without vegetation may have overestimated the N value of biobased fertilizers. Vegetation resulted in a lower estimation of available N from fertilizers, probably due to intensified competition with soil microbes or increased N loss via denitrification.