Microbial activity in grassland soil amended with sewage sludge containing varying rates and combinations of Cu, Ni and Zn View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1999-12

AUTHORS

M. Khan, J. Scullion

ABSTRACT

Cu, Ni and Zn were added at different rates (low and±25% of current limits) and combinations to sewage sludges and the effects on soil microorganisms were monitored in laboratory incubations. Respiration was measured frequently during weeks 1–7, whilst extractable metals (with EDTA and CaCl2), microbial biomass C and metabolic quotient were recorded at 3 and 7 weeks. Inputs of one metal affected extractable concentrations of that metal and of the second metal tested in each experiment. Cu behaved differently from Ni and Zn, with little extractable by CaCl2. Whereas CaCl2-Ni and -Zn increased markedly between weeks 3 and 7, Cu concentrations did not change. Respiration was reduced at 1 week by Ni inputs and by Cu in combination with Ni. Zinc inputs at 1 week, and all metal inputs after 3 weeks, increased respiration. Biomass C was lower at higher metal inputs and with Zn the exception occurred at 3 weeks when biomass C was higher. Metal inputs generally increased metabolic quotient, although responses to Zn were often non-significant. Not all metal responses were additive, with effects of one metal frequently more pronounced with high levels of another. For Cu, the organic bound fraction was a better predictor of microbial response than the exchangeable fraction. For Ni the reverse was the case in one experiment, whilst extractable Zn was not closely correlated with microbial indices. Metal inputs close to permitted levels, in particular Cu, affected microbial processes but responses varied with time after sludge application. More... »

PAGES

202-209

Journal

TITLE

Biology and Fertility of Soils

ISSUE

3

VOLUME

30

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s003740050609

DOI

http://dx.doi.org/10.1007/s003740050609

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018362259


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0605", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Microbiology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Wales", 
          "id": "https://www.grid.ac/institutes/grid.8155.9", 
          "name": [
            "Soil Science Unit, Institute of Biological Sciences, University of Wales, Penglais, Aberystwyth UK SY23 3DE e-mail: jos@aber.ac.uk, GB"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khan", 
        "givenName": "M.", 
        "id": "sg:person.01240727473.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240727473.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wales", 
          "id": "https://www.grid.ac/institutes/grid.8155.9", 
          "name": [
            "Soil Science Unit, Institute of Biological Sciences, University of Wales, Penglais, Aberystwyth UK SY23 3DE e-mail: jos@aber.ac.uk, GB"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scullion", 
        "givenName": "J.", 
        "id": "sg:person.0724012315.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724012315.55"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1999-12", 
    "datePublishedReg": "1999-12-01", 
    "description": "Cu, Ni and Zn were added at different rates (low and\u00b125% of current limits) and combinations to sewage sludges and the effects on soil microorganisms were monitored in laboratory incubations. Respiration was measured frequently during weeks 1\u20137, whilst extractable metals (with EDTA and CaCl2), microbial biomass C and metabolic quotient were recorded at 3 and 7 weeks. Inputs of one metal affected extractable concentrations of that metal and of the second metal tested in each experiment. Cu behaved differently from Ni and Zn, with little extractable by CaCl2. Whereas CaCl2-Ni and -Zn increased markedly between weeks 3 and 7, Cu concentrations did not change. Respiration was reduced at 1 week by Ni inputs and by Cu in combination with Ni. Zinc inputs at 1 week, and all metal inputs after 3 weeks, increased respiration. Biomass C was lower at higher metal inputs and with Zn the exception occurred at 3 weeks when biomass C was higher. Metal inputs generally increased metabolic quotient, although responses to Zn were often non-significant. Not all metal responses were additive, with effects of one metal frequently more pronounced with high levels of another. For Cu, the organic bound fraction was a better predictor of microbial response than the exchangeable fraction. For Ni the reverse was the case in one experiment, whilst extractable Zn was not closely correlated with microbial indices. Metal inputs close to permitted levels, in particular Cu, affected microbial processes but responses varied with time after sludge application.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s003740050609", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1031627", 
        "issn": [
          "0178-2762", 
          "1432-0789"
        ], 
        "name": "Biology and Fertility of Soils", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Microbial activity in grassland soil amended with sewage sludge containing varying rates and combinations of Cu, Ni and Zn", 
    "pagination": "202-209", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "577d3a7b0fafd5f70774c9e1163d184356db982bbe51c93fbe446b61a6793755"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s003740050609"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1018362259"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s003740050609", 
      "https://app.dimensions.ai/details/publication/pub.1018362259"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000487.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s003740050609"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s003740050609'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s003740050609'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s003740050609'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s003740050609'


 

This table displays all metadata directly associated to this object as RDF triples.

68 TRIPLES      20 PREDICATES      27 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s003740050609 schema:about anzsrc-for:06
2 anzsrc-for:0605
3 schema:author Nd8da5f003e834416aa65e7c031a1ab9e
4 schema:datePublished 1999-12
5 schema:datePublishedReg 1999-12-01
6 schema:description Cu, Ni and Zn were added at different rates (low and±25% of current limits) and combinations to sewage sludges and the effects on soil microorganisms were monitored in laboratory incubations. Respiration was measured frequently during weeks 1–7, whilst extractable metals (with EDTA and CaCl2), microbial biomass C and metabolic quotient were recorded at 3 and 7 weeks. Inputs of one metal affected extractable concentrations of that metal and of the second metal tested in each experiment. Cu behaved differently from Ni and Zn, with little extractable by CaCl2. Whereas CaCl2-Ni and -Zn increased markedly between weeks 3 and 7, Cu concentrations did not change. Respiration was reduced at 1 week by Ni inputs and by Cu in combination with Ni. Zinc inputs at 1 week, and all metal inputs after 3 weeks, increased respiration. Biomass C was lower at higher metal inputs and with Zn the exception occurred at 3 weeks when biomass C was higher. Metal inputs generally increased metabolic quotient, although responses to Zn were often non-significant. Not all metal responses were additive, with effects of one metal frequently more pronounced with high levels of another. For Cu, the organic bound fraction was a better predictor of microbial response than the exchangeable fraction. For Ni the reverse was the case in one experiment, whilst extractable Zn was not closely correlated with microbial indices. Metal inputs close to permitted levels, in particular Cu, affected microbial processes but responses varied with time after sludge application.
7 schema:genre research_article
8 schema:inLanguage en
9 schema:isAccessibleForFree false
10 schema:isPartOf N280f3122e7d546ec97339eba923238c5
11 N7ffbe2b2a1cf41a0ae02ddd12df9836e
12 sg:journal.1031627
13 schema:name Microbial activity in grassland soil amended with sewage sludge containing varying rates and combinations of Cu, Ni and Zn
14 schema:pagination 202-209
15 schema:productId N2b64b5134e3245dfafc5f013d2c07793
16 Nbe1cc3705b7a4133940eab228ff4c3f0
17 Nd69645862829495d98f249fb601b812b
18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018362259
19 https://doi.org/10.1007/s003740050609
20 schema:sdDatePublished 2019-04-10T19:03
21 schema:sdLicense https://scigraph.springernature.com/explorer/license/
22 schema:sdPublisher N34577a935562411781cd5dbfb79002ad
23 schema:url http://link.springer.com/10.1007/s003740050609
24 sgo:license sg:explorer/license/
25 sgo:sdDataset articles
26 rdf:type schema:ScholarlyArticle
27 N280f3122e7d546ec97339eba923238c5 schema:volumeNumber 30
28 rdf:type schema:PublicationVolume
29 N2b64b5134e3245dfafc5f013d2c07793 schema:name doi
30 schema:value 10.1007/s003740050609
31 rdf:type schema:PropertyValue
32 N34577a935562411781cd5dbfb79002ad schema:name Springer Nature - SN SciGraph project
33 rdf:type schema:Organization
34 N7ffbe2b2a1cf41a0ae02ddd12df9836e schema:issueNumber 3
35 rdf:type schema:PublicationIssue
36 N8407315125e94687890264e48aac50fb rdf:first sg:person.0724012315.55
37 rdf:rest rdf:nil
38 Nbe1cc3705b7a4133940eab228ff4c3f0 schema:name readcube_id
39 schema:value 577d3a7b0fafd5f70774c9e1163d184356db982bbe51c93fbe446b61a6793755
40 rdf:type schema:PropertyValue
41 Nd69645862829495d98f249fb601b812b schema:name dimensions_id
42 schema:value pub.1018362259
43 rdf:type schema:PropertyValue
44 Nd8da5f003e834416aa65e7c031a1ab9e rdf:first sg:person.01240727473.05
45 rdf:rest N8407315125e94687890264e48aac50fb
46 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
47 schema:name Biological Sciences
48 rdf:type schema:DefinedTerm
49 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
50 schema:name Microbiology
51 rdf:type schema:DefinedTerm
52 sg:journal.1031627 schema:issn 0178-2762
53 1432-0789
54 schema:name Biology and Fertility of Soils
55 rdf:type schema:Periodical
56 sg:person.01240727473.05 schema:affiliation https://www.grid.ac/institutes/grid.8155.9
57 schema:familyName Khan
58 schema:givenName M.
59 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240727473.05
60 rdf:type schema:Person
61 sg:person.0724012315.55 schema:affiliation https://www.grid.ac/institutes/grid.8155.9
62 schema:familyName Scullion
63 schema:givenName J.
64 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724012315.55
65 rdf:type schema:Person
66 https://www.grid.ac/institutes/grid.8155.9 schema:alternateName University of Wales
67 schema:name Soil Science Unit, Institute of Biological Sciences, University of Wales, Penglais, Aberystwyth UK SY23 3DE e-mail: jos@aber.ac.uk, GB
68 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...