Visualization and quantification of root exudation using 14C imaging: challenges and uncertainties View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Maire Holz, Mohsen Zarebanadkouki, Andrea Carminati, Yakov Kuzyakov

ABSTRACT

Root exudation is an important carbon (C) and energy source for soil microorganisms but quantifying its spatial distribution is challenging. We tested whether 14C imaging (analogue of previous autoradiography) can be used to quantitatively estimate the spatial distribution of root exudates in the rhizosphere. First, the attenuation coefficient of 14C β− rays in soil and in water was measured and expected gradients of 14C in the rhizosphere were modelled. Secondly, barley plants were pulse labelled in 14CO2 atmosphere and the origin (roots or root exudation) and locations of 14C signal in soil were detected with imaging. The attenuation coefficient of 14C was 148 cm−1 for soil and 67 cm−1 for water, corresponding to a maximum distance that 14C β− rays pass through a dry soil of 0.37 mm. Based on the measured coefficients we calculated the effect of exudation intensity, root radius and root position on the imaged 14C signal. The distribution of the imaged signal was strongly affected by: a) 14C activity in the root, b) root radius, c) distance from the root surface to the imaging screen, d) amount of root exudates in the soil, and e) presence of an air gap (or a region with high porosity) between the soil and the imaging screen. Neglecting the effects of these factors (a-e) may cause biases in the estimation of root exudates using 14C imaging of the rhizosphere. The 14C imaging approach should therefore be accompanied by accurate measurement of these factors and calculation of the β− ray transmission through the soil. More... »

PAGES

1-13

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11104-019-03956-8

DOI

http://dx.doi.org/10.1007/s11104-019-03956-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112092737


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/2008/0503", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Soil Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Leibniz Centre for Agricultural Landscape Research", 
          "id": "https://www.grid.ac/institutes/grid.433014.1", 
          "name": [
            "Group of Isotope Biogeochemistry and Gas Fluxes, Leibniz Centre for Agricultural Landscape Research (ZALF) e.V, Muencheberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holz", 
        "givenName": "Maire", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bayreuth", 
          "id": "https://www.grid.ac/institutes/grid.7384.8", 
          "name": [
            "Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zarebanadkouki", 
        "givenName": "Mohsen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bayreuth", 
          "id": "https://www.grid.ac/institutes/grid.7384.8", 
          "name": [
            "Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carminati", 
        "givenName": "Andrea", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kazan Federal University", 
          "id": "https://www.grid.ac/institutes/grid.77268.3c", 
          "name": [
            "Institute of Physicochemical and Biological Problems in Soil Science, Russian Academy of Sciences, 142290, Pushchino, Russia", 
            "Department of Soil Science of Temperate Ecosystems, Department of Agricultural Soil Science, University of Goettingen, Goettingen, Germany", 
            "Institute of Environmental Sciences, Kazan Federal University, 420049, Kazan, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuzyakov", 
        "givenName": "Yakov", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0020-708x(84)90217-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000388772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-708x(84)90217-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000388772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0883-2889(90)90037-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005135832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0883-2889(90)90037-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005135832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09553009414550611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006081006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-8137.2004.01130.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006144833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2010.00860.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009819713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2010.00860.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009819713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.soilbio.2005.05.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009989591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-2541(02)00223-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019451086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/ma4061034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024987906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1056-8719(02)00162-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027517276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.105.069971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037692728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jpln.201000206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040141993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.1150110503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046096601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.1150110503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046096601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/336089a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050592454", 
          "https://doi.org/10.1038/336089a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jpln.200900271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051152339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.soilbio.2015.07.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051158409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejps.2006.01.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052081700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/agro:2003011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056944249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/carcin/13.8.1475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059450378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.rpd.a032355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059965615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aob/mcx127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091959417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aob/mcx127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091959417"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "Root exudation is an important carbon (C) and energy source for soil microorganisms but quantifying its spatial distribution is challenging. We tested whether 14C imaging (analogue of previous autoradiography) can be used to quantitatively estimate the spatial distribution of root exudates in the rhizosphere. First, the attenuation coefficient of 14C \u03b2\u2212 rays in soil and in water was measured and expected gradients of 14C in the rhizosphere were modelled. Secondly, barley plants were pulse labelled in 14CO2 atmosphere and the origin (roots or root exudation) and locations of 14C signal in soil were detected with imaging. The attenuation coefficient of 14C was 148 cm\u22121 for soil and 67 cm\u22121 for water, corresponding to a maximum distance that 14C \u03b2\u2212 rays pass through a dry soil of 0.37 mm. Based on the measured coefficients we calculated the effect of exudation intensity, root radius and root position on the imaged 14C signal. The distribution of the imaged signal was strongly affected by: a) 14C activity in the root, b) root radius, c) distance from the root surface to the imaging screen, d) amount of root exudates in the soil, and e) presence of an air gap (or a region with high porosity) between the soil and the imaging screen. Neglecting the effects of these factors (a-e) may cause biases in the estimation of root exudates using 14C imaging of the rhizosphere. The 14C imaging approach should therefore be accompanied by accurate measurement of these factors and calculation of the \u03b2\u2212 ray transmission through the soil.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11104-019-03956-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1126575", 
        "issn": [
          "0032-079X", 
          "1573-5036"
        ], 
        "name": "Plant and Soil", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "437"
      }
    ], 
    "name": "Visualization and quantification of root exudation using 14C imaging: challenges and uncertainties", 
    "pagination": "1-13", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b8bfde24362268cf1b3b14cfa6cf60cbb53da35ccf2c59261765ff4fdd346162"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11104-019-03956-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112092737"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11104-019-03956-8", 
      "https://app.dimensions.ai/details/publication/pub.1112092737"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:54", 
    "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/v90/0000000371_0000000371/records_130808_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11104-019-03956-8"
  }
]
 

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/s11104-019-03956-8'

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/s11104-019-03956-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11104-019-03956-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11104-019-03956-8'


 

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

147 TRIPLES      21 PREDICATES      47 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11104-019-03956-8 schema:about anzsrc-for:05
2 anzsrc-for:0503
3 schema:author N9edbc587491b4ec9b5249ae30e9bae32
4 schema:citation sg:pub.10.1038/336089a0
5 https://doi.org/10.1002/elps.1150110503
6 https://doi.org/10.1002/jpln.200900271
7 https://doi.org/10.1002/jpln.201000206
8 https://doi.org/10.1016/0020-708x(84)90217-5
9 https://doi.org/10.1016/0883-2889(90)90037-h
10 https://doi.org/10.1016/j.ejps.2006.01.007
11 https://doi.org/10.1016/j.soilbio.2005.05.021
12 https://doi.org/10.1016/j.soilbio.2015.07.021
13 https://doi.org/10.1016/s0009-2541(02)00223-1
14 https://doi.org/10.1016/s1056-8719(02)00162-4
15 https://doi.org/10.1051/agro:2003011
16 https://doi.org/10.1080/09553009414550611
17 https://doi.org/10.1093/aob/mcx127
18 https://doi.org/10.1093/carcin/13.8.1475
19 https://doi.org/10.1093/oxfordjournals.rpd.a032355
20 https://doi.org/10.1104/pp.105.069971
21 https://doi.org/10.1111/j.1469-8137.2004.01130.x
22 https://doi.org/10.1111/j.1574-6941.2010.00860.x
23 https://doi.org/10.3390/ma4061034
24 schema:datePublished 2019-04
25 schema:datePublishedReg 2019-04-01
26 schema:description Root exudation is an important carbon (C) and energy source for soil microorganisms but quantifying its spatial distribution is challenging. We tested whether 14C imaging (analogue of previous autoradiography) can be used to quantitatively estimate the spatial distribution of root exudates in the rhizosphere. First, the attenuation coefficient of 14C β− rays in soil and in water was measured and expected gradients of 14C in the rhizosphere were modelled. Secondly, barley plants were pulse labelled in 14CO2 atmosphere and the origin (roots or root exudation) and locations of 14C signal in soil were detected with imaging. The attenuation coefficient of 14C was 148 cm−1 for soil and 67 cm−1 for water, corresponding to a maximum distance that 14C β− rays pass through a dry soil of 0.37 mm. Based on the measured coefficients we calculated the effect of exudation intensity, root radius and root position on the imaged 14C signal. The distribution of the imaged signal was strongly affected by: a) 14C activity in the root, b) root radius, c) distance from the root surface to the imaging screen, d) amount of root exudates in the soil, and e) presence of an air gap (or a region with high porosity) between the soil and the imaging screen. Neglecting the effects of these factors (a-e) may cause biases in the estimation of root exudates using 14C imaging of the rhizosphere. The 14C imaging approach should therefore be accompanied by accurate measurement of these factors and calculation of the β− ray transmission through the soil.
27 schema:genre research_article
28 schema:inLanguage en
29 schema:isAccessibleForFree false
30 schema:isPartOf N58087d18085044c78ed26dd2ab19a400
31 N6f28b5c574db478b878d8e59dadc4be8
32 sg:journal.1126575
33 schema:name Visualization and quantification of root exudation using 14C imaging: challenges and uncertainties
34 schema:pagination 1-13
35 schema:productId N02e3363492544edfb3fa11a1851263a9
36 N55d09388eccc4ec4b1b62bef447566df
37 N853c32a2dfc04c5dbb20155da3c3cac5
38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112092737
39 https://doi.org/10.1007/s11104-019-03956-8
40 schema:sdDatePublished 2019-04-11T13:54
41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
42 schema:sdPublisher N972ad5f6941f430d8b23599b69cf6e27
43 schema:url https://link.springer.com/10.1007%2Fs11104-019-03956-8
44 sgo:license sg:explorer/license/
45 sgo:sdDataset articles
46 rdf:type schema:ScholarlyArticle
47 N02e3363492544edfb3fa11a1851263a9 schema:name dimensions_id
48 schema:value pub.1112092737
49 rdf:type schema:PropertyValue
50 N55bd8846bc4f4178b9139e91b9e09288 schema:affiliation https://www.grid.ac/institutes/grid.7384.8
51 schema:familyName Carminati
52 schema:givenName Andrea
53 rdf:type schema:Person
54 N55d09388eccc4ec4b1b62bef447566df schema:name readcube_id
55 schema:value b8bfde24362268cf1b3b14cfa6cf60cbb53da35ccf2c59261765ff4fdd346162
56 rdf:type schema:PropertyValue
57 N57a4f89c2d274044b049e9d3489d0af5 rdf:first Ncfed317f91af4a7e93bab7e350d28c70
58 rdf:rest rdf:nil
59 N58087d18085044c78ed26dd2ab19a400 schema:issueNumber 1-2
60 rdf:type schema:PublicationIssue
61 N6a69b73b9fe54416809945c2ea44bca0 rdf:first Ne0fe30c1a05345d78b223e95b14789e4
62 rdf:rest Nc4a71c36260545b1a1eefbed56444604
63 N6f28b5c574db478b878d8e59dadc4be8 schema:volumeNumber 437
64 rdf:type schema:PublicationVolume
65 N853c32a2dfc04c5dbb20155da3c3cac5 schema:name doi
66 schema:value 10.1007/s11104-019-03956-8
67 rdf:type schema:PropertyValue
68 N972ad5f6941f430d8b23599b69cf6e27 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N9edbc587491b4ec9b5249ae30e9bae32 rdf:first Nfffa0f5849254d1185e7aa226831c062
71 rdf:rest N6a69b73b9fe54416809945c2ea44bca0
72 Nc4a71c36260545b1a1eefbed56444604 rdf:first N55bd8846bc4f4178b9139e91b9e09288
73 rdf:rest N57a4f89c2d274044b049e9d3489d0af5
74 Ncfed317f91af4a7e93bab7e350d28c70 schema:affiliation https://www.grid.ac/institutes/grid.77268.3c
75 schema:familyName Kuzyakov
76 schema:givenName Yakov
77 rdf:type schema:Person
78 Ne0fe30c1a05345d78b223e95b14789e4 schema:affiliation https://www.grid.ac/institutes/grid.7384.8
79 schema:familyName Zarebanadkouki
80 schema:givenName Mohsen
81 rdf:type schema:Person
82 Nfffa0f5849254d1185e7aa226831c062 schema:affiliation https://www.grid.ac/institutes/grid.433014.1
83 schema:familyName Holz
84 schema:givenName Maire
85 rdf:type schema:Person
86 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
87 schema:name Environmental Sciences
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
90 schema:name Soil Sciences
91 rdf:type schema:DefinedTerm
92 sg:journal.1126575 schema:issn 0032-079X
93 1573-5036
94 schema:name Plant and Soil
95 rdf:type schema:Periodical
96 sg:pub.10.1038/336089a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050592454
97 https://doi.org/10.1038/336089a0
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1002/elps.1150110503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046096601
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1002/jpln.200900271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051152339
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1002/jpln.201000206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040141993
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/0020-708x(84)90217-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000388772
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/0883-2889(90)90037-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1005135832
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/j.ejps.2006.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052081700
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.soilbio.2005.05.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009989591
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.soilbio.2015.07.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051158409
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/s0009-2541(02)00223-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019451086
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/s1056-8719(02)00162-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027517276
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1051/agro:2003011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056944249
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1080/09553009414550611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006081006
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1093/aob/mcx127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091959417
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1093/carcin/13.8.1475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059450378
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1093/oxfordjournals.rpd.a032355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059965615
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1104/pp.105.069971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037692728
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1111/j.1469-8137.2004.01130.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006144833
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1111/j.1574-6941.2010.00860.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009819713
134 rdf:type schema:CreativeWork
135 https://doi.org/10.3390/ma4061034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024987906
136 rdf:type schema:CreativeWork
137 https://www.grid.ac/institutes/grid.433014.1 schema:alternateName Leibniz Centre for Agricultural Landscape Research
138 schema:name Group of Isotope Biogeochemistry and Gas Fluxes, Leibniz Centre for Agricultural Landscape Research (ZALF) e.V, Muencheberg, Germany
139 rdf:type schema:Organization
140 https://www.grid.ac/institutes/grid.7384.8 schema:alternateName University of Bayreuth
141 schema:name Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany
142 rdf:type schema:Organization
143 https://www.grid.ac/institutes/grid.77268.3c schema:alternateName Kazan Federal University
144 schema:name Department of Soil Science of Temperate Ecosystems, Department of Agricultural Soil Science, University of Goettingen, Goettingen, Germany
145 Institute of Environmental Sciences, Kazan Federal University, 420049, Kazan, Russia
146 Institute of Physicochemical and Biological Problems in Soil Science, Russian Academy of Sciences, 142290, Pushchino, Russia
147 rdf:type schema:Organization
 




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


...