Christian Mulder and J. Arie Vonk. 2011. Nematode traits and environmental constraints in 200 soil systems: scaling within the 60–6000 µm body size range. Ecology 92:2004.
INTRODUCTION
Chemical factors regulating the soil nematofauna were a central focus of our study. The environmental availability of key nutrients, like phosphorus, is a very important ecological constraint in terrestrial food webs (Elser 2006), but available data on soil food webs are scarce, although short-term stimulatory effect of litter are known from forest nematodes (Keith et al. 2009). Recent studies in open grasslands (Mulder and Elser 2009, Mulder 2010) suggest that smaller-bodied nematodes cope better with nutrient-poor conditions, than larger-bodied nematodes do. Under low soil fertility, the aggregate contribution of these tiny invertebrates to the entire faunal community strongly reflects the availability of primary soil macronutrients (carbon, nitrogen, and phosphorus) and causes skewed habitat–response relationships. This gives rise to strains within ecosystems that can be captured by normal operating ranges (sensu Kersting 1984). In trait-based research, empirical data are mandatory to establish the normal operating ranges of occurring species. In this paper, novel data allow us to detect the multiple relationships between occurrence and size of soil nematodes and both the elementary factors in the soil and the farming regime (consequently, the aboveground primary production) in different ecosystems. These ecosystems were classified either as rural (arable fields or managed grasslands –here, from low to intensive regime–) or as natural (open-canopy shrublands, like dry heathlands, or close-canopy woodlands, like Scots Pine plantations and mixed woodlands).
For both mass–abundance relationships and metabolic rates it appears that most environmental constraints influence the power laws. Allometric scaling might be affected by the scale of analysis, level of data aggregation, type of environment, latitude, taxa, trophic position, census area, and statistical analysis. Although the influence of physiological power and body size on consumer–resource dynamics has been unraveled (e.g., Yodzis and Innes 1992), less attention was given to the influence of life stages on predator–prey dynamics, as most models focused on species-specific body-size averages only. Although a widespread assumption is that “juvenile stages cannot rely on feeding upon live prey due to their small (body) size” (Khan and Kim 2007), the role of enzymatic extracorporal digestion (well-known from aboveground arthropods; see Cohen 1995) has, to our knowledge, never been addressed in free-living soil nematodes. Shifts between the feeding demands of juveniles and adults, as previously reported for parasitic nematodes (Frantová and Moravec 2004), suggest comparable behavioral differences between the life stages of free-living nematodes. In fact, juveniles can become induced in the first and early second stage to the passive resting stage (Dauerlarvae), a perfect food resource for predatory nematodes although Dauerlarvae are encased in a dehydration-resistant cuticle. In comparison to adults, Dauerlarvae and juvenile developmental stages are successful examples of adaptation to adverse environmental conditions (Bongers 1988) and low adult to juvenile ratios in managed ecosystems are known from scientific literature (Bjørnlund et al. 2002).
Hence, in contrast to some other data sets, where direct sampling methods of dietary assessment were available (e.g., Raymond et al. 2011), and detailed nematological laboratory investigations (e.g., Deutsch 1978; Bilgrami 1992, 1993), we used here the expectation of who is capable of eating whom derived from available literature reporting empirical observations of soil invertebrates during their adult life stage (Mulder and Elser 2009; Mulder et al. 2009 and references therein). The resulting Fig. 1 shows that expected predator–prey relationships (here as nematode’s lengths) are strongly dependent on the life stage (adult vs. juvenile) of the occurring consumer.
More explicitly, given that within the trophic interactions of luvisols shown in Fig. 1 less than 1.5% of the preys exceeds the size of their adult predators (in contrast to 25.5% of all the preys consumed by juvenile predators), the predator–prey system for predatory adults seems more sustainable than the same system for predatory juveniles. Broader diets for juvenile consumers can be recognized in other soil types: in podzols, histosols, and fluvisols/cambisols, in fact, respectively 36.4%, 28.5%, and 27.7% of all preys exceed the size of their juvenile predators. Histosols and fluvisols/cambisols (0.35% and 0.23%, respectively) share almost no nematodes exceeding the size of their adult predators, in contrast to podzols where more than 5% of the preys exceeds the size of their adult predators. Thus, life stages might influence trophic networks.
Quantitative approaches are required to predict the dynamics of ecosystem services in response to environmental changes. Such efforts complement ongoing experimental approaches seen that body size and body mass are known to be flexible and important tools to evaluate multitrophic relationships and to understand ecosystem dynamics.
FIG. 1. All soil nematode predator–prey body size relationships for Loess, SE Netherlands. On the abscissas, the body lengths (µm) of possible preys (adults, juveniles, and resting) in 10 luvisols, plotted against the occurring predators either as adults (left) or as juveniles (right). The body size ratios were derived at individual level from one matrix established for all sites and for every possibly targeted prey (trophic level 1) within each site (Mulder et al. 2009).
METADATA
CLASS I. DATA SET DESCRIPTORS
A. Data set identity: Nematode traits and environmental constraints in 200 soil systems.
Database Identity: This metadata file contains the metadata for the sites and an overall description of the structure of this data paper.
Overall Title: TRAITNEmaToFAUNA
B. Data set identification code: Each data set has its own file and its own metadata documenting the data collection details and data set structure:
C. Data set description
Summary: Traits of 29,552 individual soil nematodes were recorded in 200 (agro)ecosystems across The Netherlands. In addition to the body size (length and width) and body mass of soil nematodes, this new data set includes information on taxonomy, life stage, sex, feeding habit, trophic level, geographic location, sampling period, ecosystem type, soil type, and basic chemistry (pH in water, organic carbon, total nitrogen and phosphorus contents, and soil nutrient ratios). All the physical, chemical and biological information were accumulated and organized over different environmental categories regarding soil and land use (4 soil types and 3 land-use types resulting in 7 combinations). We envisage that our data will be of interest to researchers dealing with applied soil ecology, as well as those interested in allometry, biological stoichiometry, and soil food webs. Given the data paucity to address the relationships among habitat and nematode growth and size reported by Yeates and Boag (2003), these data can provide empirical more evidence for such investigations.
Principal Investigators:
Dr Christian Mulder, National Institute for Public Health and Environment, 3720BA Bilthoven, The Netherlands
Dr J. Arie Vonk, National Institute for Public Health and Environment, 3720BA Bilthoven, The Netherlands
Sources of Funding: The Biological Stoichiometry Project (2004–2010) was supported by the RIVM Directorate (QERAS/S860703 and EIA/S607001). The Data Mining Project was supported in 2009 by the Scientific Advisory Committee of the Netherlands Ministry of Housing, Spatial Planning, and Environment (VROM). The final writing of this paper received additional funding from the European Union – Seventh Framework Programme (FP7/2007-2013) under the grant agreement 264465 (EcoFINDERS).
Abstract: Soil life is complex, and huge body-size changes of organisms like soil nematodes remain enigmatic along environmental gradients and across ecosystems. Such a knowledge gap is surprising, given the importance of these invertebrates for ecosystem functioning. Moreover, differences in the biological stoichiometry between terrestrial systems are still poorly understood. Within one of the most intensive ecological soil surveys worldwide ever, containing 29552 individual records, we monitored the nematodes of 200 rural and natural areas in The Netherlands. In addition to the body length, width, and estimated mass of nematodes, this data set includes information on taxonomy, life stage, sex, feeding habit, trophic level, geographic location, sampling period, ecosystem type, soil type, and soil chemistry (pH, organic carbon, and total nitrogen and phosphorus contents). Physical, chemical, and biological information was organized over different categories regarding four soil types and three land-use types (resulting in seven combinations). Of the soil nematodes 70.8% were juveniles, 15.9% females, 5.5% males, and 7.8% Dauer larvae. Our empirical data set shows that the responses of the nematodes’ body mass to a 50-fold change in the soil molar C:P ratio were as strong as the same trait responses to a four orders-of-magnitude change in the H+ concentration in the soil. Traits like body lengths are so dependent on the life stage (here, adult vs. juvenile) that they must be taken into careful account for modeling predator–prey relationships, since nematodes are well represented in all feeding levels of the soil food webs. Traits from this novel data set can be helpful in determining habitat–response relationships, predicting effects of biological stoichiometry, and understanding the dynamics of ecosystems.
D. Key words: agroecosystems; biological stoichiometry; ecological stoichiometry; ecosystem types; feeding habits; nonparasitic nematodes; soil carbon; soil nitrogen; soil pH; soil phosphorus; soil types; trophic level.CLASS II. RESEARCH ORIGIN DESCRIPTORS
A. Overall project description
Identity: Biological Stoichiometry Project: Fitting Ecosystem Responses Across Taxocenes. I – Nematoda
Originator: Christian Mulder
Period of Study: 2004–continuing.
Objectives: Here we present a novel database that combines physical, chemical and biological information on the soil nematodes occurring in 200 agroecosystems across The Netherlands. Since 2004 this project – from here on referred to as the Biological Stoichiometry Project – has been studying the multitrophic interactions within and between the nematode taxa with related traits, and the autecological response of the nematofauna to changes in ecosystem and soil types. Research at the Biological Stoichiometry Project was initiated in 2004 by Drs. Christian Mulder, Michiel Rutgers, and Anton J. Schouten. This set spans 2004–2009 for all core groups and is part of our national survey, the Dutch Soil Quality Network (DSQN: 1993–continuing). In a further attempt to build consistent ontologies for all data, we focused on cross-disciplinary soil abiotics within the so-called Data Mining Project (supported by the Netherlands Ministry of Housing, Spatial Planning, and Environment). Final aim is a tool helpful to parameterize detrital food web models. Additional information about the podzol core group can be found in Mulder et al. (2008, 2009, 2011a, b).
Sources of funding: The Biological Stoichiometry Project (2004–2010) was supported by the RIVM Directorate (QERAS/S860703 and EIA/S607001). The Data Mining Project was supported in 2009 by the Scientific Advisory Committee of the Netherlands Ministry of Housing, Spatial Planning, and Environment (VROM). The final writing of this paper received additional funding from the European Union – Seventh Framework Programme (FP7/2007-2013) under the grant agreement 264465 (EcoFINDERS).
B. Specific subproject description
Site description: Data were collected in The Netherlands (Rutgers et al. 2009, Jeffery et al. 2010) at 200 locations under different abiotic conditions (Fig. 2).
FIG. 2. Boxplots of the soil abiotics of the investigated combinations between soil type (ST, please see at the end of the legend the explanation of the symbols used) and ecosystem type (ET: arable fields, AF, managed grasslands, MG, and shrublands/woodlands, SW). From the bottom left, counterclockwise, molar C : P, N : P, and C : N ratios, ending with pH. On the abscissas, from left to right arable fields on clay (FC × AF), managed grasslands on clay (FC × MG), managed grasslands on peat (HI × MG), arable fields on Loess (LU × AF), arable fields on sand (PO × AF), managed grasslands on sand (PO × MG), and shrublands/woodlands on sand (PO × SW). Outliers marked with their site ID. Extreme outliers as stars (more than three box lengths from the upper quartile), all other outliers as circles filled in the ST colors (fluvisols and cambisols:color blue, abbreviation FC; histosols: color purple, abbreviation HI; luvisols: color orange, abbreviation LU; podzols: color green, abbreviation PO).
Sampling methods: In each agroecosystem, one bulk sample was mixed from the soil randomly collected in 320 cores (φ 2.3 × 10 cm) all over the investigated site. The bulk of 500 g was kept in glass containers and stored at 4 ºC prior to extraction. The nematode extraction from around 100 g of soil was performed using the Oostenbrink method (Oostenbrink, 1960). All the individual nematodes within two clean 10 ml water suspensions were screened and approximately 150 randomly-chosen specimens per site were identified under a light microscope. Besides the nematological analyses, the environmental conditions (i.e., soil pH and macronutrients) were assessed in the laboratory (see METADATA CLASS IV. DATA STRUCTURAL DESCRIPTORS).
Trait Collection: In each of the 200 agroecosystems, the body length and width of the approximately 150 identified nematodes were measured to the nearest 1 µm with an eyepiece micrometer. Subsequently, their fresh weight (body mass) was derived at individual level with the volumetric function of Andrássy (1956) that is based on the cylindrical elongate morphology of nematodes, and converted to dry body mass using a weight ratio of 0.20 (Petersen and Luxton, 1982: p. 303). For all individual records (193 taxa, mostly at genus level), feeding habits (hence, diet and trophic level) were assigned based on the functional feeding group as defined in Yeates et al. (1993). The preferred feeding habit as ranked in Yeates et al. (1993) was kept consistently in our data set. In few cases, like for “unicellular eukaryote feeding” nematodes (Yeates 2010), the yeast-feeding and hyphal-feeding habits were merged together into the “fungivorous type” (Mulder et al. 2008, for Achromadora). In particular, the actual feeding habit of the Achromadoridae remains controversial, as confirmed by recent molecular studies (Holterman et al. 2011), and therefore further assessments of the various feeding habits of soil free-living nematodes have to be based on the perceived predominant food resource available (Yeates 2010).
Taxonomy and systematics: Identification of species (Box 1) is consistent with Bongers (1988).
BOX 1. Taxonomical survey of the investigated nematofauna.
Achromadora sp., Acrobeles sp., A. ciliatus, A. complexus, A. mariannae, Acrobeloides sp., A. nanus, Aglenchus sp., A. agricola, Alaimus sp., A. meyli, A. primitivus, Amphidelus sp., Amplimerlinius sp., A. caroli, A. icarus, Anaplectus sp., A. grandepapillatus, A. granulosus, Anatonchus sp., A. tridentatus, Aphelenchoides sp., A. bicaudatus, A. blastophthorus, A. composticola, Aphelenchus sp., A. avenae, Aporcelaimellus sp., A. obtusicaudatus, A. paraobtusicaudatus, A. simplex, Bastiania sp., Bitylenchus dubius, B. maximus, Boleodorus thylactus, Bunonema sp., B. reticulatum, Cephalobidae, Cephalobus sp., C. persegnis, Cervidellus sp., C. serratus, C. vexilliger, Chiloplacus sp., C. bisexualis, Chromadoridae, Chronogaster sp., Clarkus sp., C. papillatus, Coslenchus sp., C. costatus, Criconematidae, Cuticularia sp., Dauerlarvae, Diphtherophora sp., D. obesa, Diploscapter coronatus, Discolaimus sp., Ditylenchus sp., D. myceliophagus, Dolichodoridae, Dolichorhynchus sp., D. lamelliferus, Dorydorella bryophila, Dorylaimellus sp., Dorylaimoides sp., Ecumenicus monohystera, Epidorylaimus sp., E. agilis, E. lugdunensis, Eucephalobus sp., E. mucronatus, E. oxyuroides, E. striatus, Eudorylaimus sp., E. centrocercus, Eumonhystera sp., E. vulgaris, Filenchus sp., F. vulgaris, Helicotylenchus sp., H. pseudorobustus, H. varicaudatus, Hemicycliophora sp., Heterocephalobus sp., H. elongatus, Heterodera sp., Hoplolaimidae, Longidorus sp., L. elongatus, Malenchus sp., M. acarayensis, M. andrassyi, M. bryophilus, Meloidogyne sp., M. chitwoodi, M. hapla, M. naasi, Mesodorylaimus sp., M. aberrans, M. bastiani, M. derni, M. spengelii, Metateratocephalus sp., M. crassidens, Monhysteridae, Mononchidae, Mononchus sp., M. aquaticus, M. truncatus, Mylonchulus sp., Neodiplogasteridae, Nordiidae, Odontolaimus chlorurus, Panagrolaimus sp., P. detritophagus, P. rigidus, Paramphidelus sp., P. hortensis, Paratrichodorus sp., P. pachydermus, P. teres, Paratylenchus sp., P. bukowinensis, P. microdorus, P. nanus, P. projectus, P. tateae, Plectus sp., P. acuminatus, P. armatus, P. cirratus, P. elongatus, P. longicaudatus, P. parietinus, P. parvus, P. pusillus, P. rhizophilus, Pleurotylenchus sp., Pratylenchus sp., P. crenatus, P. fallax, P. neglectus, P. penetrans, P. thornei, P. vulnus, Prionchulus punctatus, Prismatolaimus sp., P. dolichurus, P. intermedius, Prodorylaimus sp., P. acris, Psilenchus, P. hilarulus, Pungentus sp., P. alpinus, P. silvestris, Qudsianematidae, Quinisulcius sp., Rhabditidae, Rotylenchus sp., R. buxophilus, R. goodeyi, R. robustus, Seinura sp., Teratocephalus sp., T. costatus, T. tenuis, Theristus agilis, Thonus sp., T. circulifer, Thornenematidae, Thornia propinqua, Trichodorus sp., T. primitivus, T. similis, Tripyla sp., T. cornuta, T. filicaudata, Trophurus sp., Tylenchidae, Tylencholaimus sp., T. crassus, Tylenchorhynchus sp., T. striatus, Tylenchus sp., T. arcuatus, T. elegans, Tylolaimophorus typicus, Wilsonema sp., W. otophorum, Xiphinema sp., X. diversicaudatum |
CLASS III. DATA SET STATUS AND ACCESSIBILITY
A. Status
Latest update: 15 March 2011
Latest Archive date: 15 March 2011
Metadata status: The metadata are complete and up to date.
Data verification: For this theory-driven trait-based research, every specimen from a site-specific survey has been compared to pre-existing records for other agroecosystems, i.e., comparable soil types and ecosystem types, to assure that errors have not been made in the genus/species (or sex) identification or in the measurements of traits. Soil abiotic predictors were compared with existing GIS values and data have been periodically spot checked by people using the database who found oddities or outliers. Questions regarding particular records are answered by referring to the original datasheets.
Greatest care was given to the detection of incorrect taxonomical identification and wrong body size measurements. During the entire process, random checking of taxa and traits (from misspelling to identification) occurred. Dubious taxa recorded only once as single specimen, like the marine Daptonema, were removed from our data set. In addition, in EXCEL 2007 the function “Data: Remove Duplicates” was applied to remove double entries. Corrections were made based on original datasheets or notes.
For the publication of this data set, an additional and extensive quality control effort was initiated. Information outside the norms (e.g., stake numbers that do not exist, undocumented 5-digit species codes, body sizes (body masses) either too short (small) or too long (large) for the identified taxon) was systematically checked and compared to original datasheets and to publicly-available online datasheets on comparable projects (Mulder and Elser 2009, and references therein). The distribution of the traits body length, body width and body mass for most nematode taxa is far from unimodal. Most taxa exhibit a trait distribution with a positive skewness (in the case of body mass, 89.6% of the taxa), showing a longer tail to the higher (larger adults) values. The trait distribution for 40.0% of the taxa regarding their body size and for 17.6% of the taxa regarding their body mass are flatter than the normal distribution.
Nematode traits were double checked upon entry because the Coefficient of Variance (CV) in the nematofauna body mass is extremely high. Besides for arable fields on clay, arable fields on Loess, and shrublands or woodlands on sandy soils (FC×AF, LU×AF, and PO×SW, respectively), the CVs of all the adults (female and male nematodes) and all the juveniles occurring in the other four ST×ET combinations are roughly comparable (LU×AF: 178.8%, PO×AF: 205.0%, PO×MG: 230.3%, FC×AF: 249.9%, HI×MG: 268.7%, FC×MG: 276.9%, and PO×SW: 324.8% for the adults, but FC×AF, 164.9%, PO×AF, 191.6%, PO×SW, 197.4%, PO×MG, 235.8%, LU×AF, 245.7%, HI×MG, 292.2%, and FC×MG, 294.8% for the juveniles).
B. Accessibility
Storage location and medium: (Ecological Society of America Data Archives [Ecological Archives], URL published in the 2011 volume of its Ecology journal). Original EXCEL data files reside with Christian Mulder on four separate machines. Also the original datasheets reside at the RIVM, the National Institute for Public Health and Environment, 3720BA Bilthoven, The Netherlands.
Contact person: Christian Mulder at the RIVM, the National Institute for Public Health and Environment, 3720BA Bilthoven, The Netherlands. E-mail: christian.mulder@rivm.nl
Ownership: The background belongs to the RIVM, the National Institute for Public Health and Environment, 3720BA Bilthoven, The Netherlands. No foreground yet.
Copyright restrictions: None.
Proprietary restrictions: None. We kindly request that other authors of future publications using this database notify Christian Mulder (contact information above) of publication of their study. This will allow us to make accurate reports to the Dutch Secretary of Environment and to document the usefulness of the data from this study for the scientific community.
Access Rights: Royalty-free access.
Citation: Please cite these data when using. In general, use this citation:
Mulder, C., and J. A. Vonk. 2011. Nematode traits and environmental constraints in 200 soil systems: Scaling within the 60–6000 µm body size range. Ecology 92:2004.
Costs: None.
CLASS IV. DATA STRUCTURAL DESCRIPTORS
A. Data Set File
Identity: Dutchagroecosystems.txt
Size: 201 rows (including header), 23.8 Kb.
Format and storage mode: ASCII text, tab delimited. No compression scheme used.
Header information: The header of the Dutchagroecosystems.txt file contains the variables Site ID, ST, ET, ST×ET, pH-H2O, C-org, N-tot, P-tot, Molar C:N ratio, Molar C:P ratio, Molar N:P ratio, Log(aveL)adult, Log(aveL)juv, Log(aveL)tot, Log(aveW)adult, Log(aveW)juv, Log(aveW)tot, Log(aveM)adult, Log(aveM)juv, Log(aveM)tot. (The variables are shown in Table 1 and explained in 2d and Table 2.)
Row Information: Each row in this data set is the synopsis of the collected information on an individual site regarding its environmental constraints and nematofauna (see Traitsoilnematofauna.txt for complete information).
Alphanumeric attributes: Mixed.
B. Variable information
TABLE 1. Column information for Dutchagroecosystems.txt.
Variable name | Variable definition |
Storage type |
Range of values |
Site ID | Site-specific identification number | Numeric | #253 – #452 |
ST | Abbreviation soil type | Character | |
ET | Abbreviation ecosystem type | Character | |
ST×ET | Combination of soil type and ecosystem type | Character | |
pH-H2O | Soil pH in water | Floating Point | 3.5 – 7.9 |
C-org | Organic Carbon (g/kg) | Floating Point | 10.5 – 247.7 |
N-tot | Total Soil Nitrogen (g/kg) | Floating Point | 0.51 – 16.03 |
P-tot | Total Soil Phosphorus (g/kg) | Floating Point | 0.06 – 3.01 |
Molar C:N ratio |
Organic Carbon (12.01) to Nitrogen (14.01) molar ratio |
Floating Point | 6.5 – 50.8 |
Molar C:P ratio |
Organic Carbon (12.01) to Phosphorus (30.97) molar ratio |
Floating Point | 35.4 – 1971.0 |
Molar N:P ratio |
Nitrogen (14.01) to Phosphorus (30.97) molar ratio |
Floating Point | 2.6 – 69.8 |
Log(aveL)adult |
10Log average Length (µm) of all adult nematodes measured at a site |
Floating Point | 2.64 – 3.04 |
Log(aveL)juv |
10Log average Length (µm) of all juvenile nematodes measured at a site |
Floating Point | 2.53 – 2.77 |
Log(aveL)tot |
10Log average Length (µm) of all nematodes measured at a site |
Floating Point | 2.57 – 2.86 |
Log(aveW)adult |
10Log average Width (µm) of all adult nematodes measured at a site |
Floating Point | 1.25 – 1.61 |
Log(aveW)juv |
10Log average Width (µm) of all juvenile nematodes measured at a site |
Floating Point | 1.13 – 1.43 |
Log(aveW)tot |
10Log average Width (µm) of all nematodes measured at a site |
Floating Point | 1.17 – 1.45 |
Log(aveM)adult |
10Log average Body Mass (µg) of all adult nematodes measured at a site |
Floating Point | -1.74 – -0.43 |
Log(aveM)juv |
10Log average Body Mass (µg) of all juvenile nematodes measured at a site |
Floating Point | -1.93 – -1.09 |
Log(aveM)tot |
10Log average Body Mass (µg) of all nematodes measured at a site |
Floating Point | -1.79 – -0.95 |
A. Data Set File
Identity: Traitsoilnematofauna.txt
Size: 29553 rows (including header), 6.4 Mb.
Format and storage mode: ASCII text, tab delimited. No compression scheme used.
Header information: The header of the Traitsoilnematofauna.txt file contains the variables Record ID (each ID refers to one single nematode specimen), Site ID (being the same ID as in the previous Dutchagroecosystems.txt file, each Site ID contains approximately 150 Record IDs), Location-LONG, Location-LAT, Sampling-YEAR, Sampling-DAY, Soil type, Ecosystem type, ST, ET, ST×ET, pH-H2O, C-org, N-tot, P-tot, Molar C:N ratio, Molar C:P ratio, Molar N:P ratio, Taxonomy, TAX/MORPHON, Lifestage, Juv_Adult, Type of feeding interaction, Trophic level, Length, Width, Mass, LogL, LogW, LogM. (The variables are defined in Table 2.)
Row Information: Each row in this data set is the record of the biological information on one single nematode and the corresponding physical and chemical information for the site where this individual nematode was sampled.
Alphanumeric attributes: Mixed.
Authentication procedures: For the data file Traitsoilnematofauna.txt, the sum of all the (body) mass values must be equal to 1453.135 (µg = 1.453 mg), and the average of all the (body) mass values equals 0.049.
B. Variable information
TABLE 2. Column information for Traitsoilnematofauna.txt
Variable name | Variable definition |
Storage type |
Range of values |
Record ID | Record identification | Numeric | #1 – # 29552 |
Site ID | Site-specific identification | Numeric | #253 – #452 |
Location-LONG | Longitude (from Atlantic to most continental location) | Floating Point |
3° 34’ 40” E 7° 01’ 22” E |
Location-LAT | Latitude (from S to N) | Floating Point |
50° 54’ 11” N 53° 24’ 26” N |
Sampling-YEAR | Year | Floating Point | 2004 – 2009 |
Sampling-DAY |
Julian Day, i.e., number of days that have elapsed each year since March, 1st |
Floating Point | 3 – 366 |
Soil type |
Podzols (sand, 118 sites ), Fluvisols and Cambisols (clay and/or loam, 41 sites), Histosols (peat, 29 sites). or Luvisols (Loess, 12 sites) |
Character | |
Ecosystem type |
Managed grassland (134 sites), arable field (44 sites), or shrubland/woodland (22 sites) |
Character | |
ST | Abbreviation soil type | Character | |
ET | Abbreviation ecosystem type | Character | |
ST×ET | Combination of soil type and ecosystem type | Character | |
pH-H2O | pH using a de-ionized 4 : 1 water : soil vol/vol ratio | Floating Point | 3.5 – 7.9 |
C-org |
Corg (g/kg) obtained from organic matter after oven-combustion of soil using the Van Bemmelen conversion factor 1.72 (pedotransfer) |
Floating Point | 10.5 – 247.7 |
N-tot |
Total Soil Nitrogen (g/kg) determined by a titrimetric method after distillation using Kjeldahl destruction |
Floating Point | 0.51 – 16.03 |
P-tot |
Total Soil Phosphorus (g/kg) determined by automated ion analyzer after sample digestion |
Floating Point | 0.06 – 3.01 |
Molar C:N ratio |
Carbon (12.01) to Nitrogen (14.01) molar ratio, as computed from the soil organic C and total N contents in the original decimals |
Floating Point | 6.5 – 50.8 |
Molar C:P ratio |
Carbon (12.01) to Phosphorus (30.97) molar ratio from the soil organic C and total P contents in the original decimals |
Floating Point | 35.4 – 1971.0 |
Molar N:P ratio |
Nitrogen (14.01) to Phosphorus (30.97) molar ratio from the soil N and P total contents in the original decimals |
Floating Point | 2.6 – 69.8 |
Taxonomy |
Latin name (for genera and species, taxa are provided in italics), or morphon (the Dauerlarvae resting stage) |
Character | |
TAX/MORPHON | Latin name or morphon | Character | |
Lifestage | Female adults, male adults, juveniles, resting | Character | |
Juv_Adult | Adult, juvenile | Character | |
Type of feeding interaction |
Predatory, omnivorous, herbivorous, detritivorous, bacterivorous, fungivorous |
Character | |
Trophic level | Trophic level according to type of feeding interaction | Numeric | 1 – 2 |
Length | Individual length (µm) measured by microscopy | Floating Point | 63 – 5639 |
Width | Individual width (µm) measured by microscopy | Floating Point | 3 – 118 |
Mass |
Individual dry body mass (µg) based on volumetric conversion from measured length and width |
Floating Point | 0.0001 – 3.99 |
LogL | 10Log of individual-based measured length | Floating Point | 1.80 – 3.75 |
LogW | 10Log of individual-based measured width | Floating Point | 0.44 – 2.07 |
LogM |
10Log of individual-based dry body mass calculated from volumetric conversion |
Floating Point | -4.00 – 0.60 |
CLASS V. SUPPLEMENTAL DESCRIPTORS
A. Data acquisition
Data forms: Original data forms filled in at the Dutch Agriculture and Horticulture Laboratory (scanned as PDF files) and all ACCESS XP and EXCEL 2007 datasheets reside at the ‘Rijksinstituut voor Volksgezondheid en Milieu’ (RIVM, the Dutch National Institute for Public Health and Environment), located in Antonie van Leeuwenhoeklaan 9, 3721MA Bilthoven, The Netherlands.
Competing Interests: The authors have declared that no competing interests exist.
B. Quality assurance/quality control procedures: Data were double checked upon entry. For each site, after the complete entry of data, all the data were checked against original sources. Researchers are encouraged to send additional data to the first author, which will be published online as the need arises.
C. Related material: None. See section F.
D. Publications using the data set: None. See section F.
E. Publications using the same sites: None. See section F.
F. History of data set usage: The data set is original and the cited literature is only a brief history of data set usage.
ACKNOWLEDGMENTS
For assistance in accessing field sites and sampling we thank Anton Schouten, Arthur de Groot, Bert van Dijk, and Erik Steenbergen. For help with data mining we thank Henri den Hollander, Jaap Bogte, Harm Keidel, Hans Helder, Ron de Goede, Michiel Rutgers, and Jet Vervoort. For the final check we thank William Michener, Aidan Keith, and one anonymous referee. The first author also thanks Shahid Naeem for helpful suggestions in the framework of TraitNet. The number of land owners who allowed this extensive nematode survey is well over 150 and our work would not have been possible without their permission.
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