Modeling irrigated cotton with shallow groundwater in the Aral Sea Basin of Uzbekistan: II. Soil salinity dynamics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-05

AUTHORS

I. Forkutsa, Rolf Sommer, Y. I. Shirokova, J. P. A. Lamers, K. Kienzler, B. Tischbein, C. Martius, P. L. G. Vlek

ABSTRACT

Years of ill-managed irrigation have triggered secondary soil salinization in the Khorezm region of Uzbekistan located in the Aral Sea basin. To assess the magnitude and dynamics of secondary soil salinization, to quantify improved management strategies and to derive updated irrigation standards, the soil water model Hydrus-1D was used. Water and soil salinity dynamics in three cotton fields with different soil textures were monitored and simulated for the years 2003 and 2005. Until now in Khorezm, overall soil salinity could only be controlled by pre-season salt leaching using high amounts of water. This water, however, may not be available anymore in the near future because of global climate change and shrinking fresh water resources. Simulations confirmed that the present leaching practice is barely effective. At two out of the three locations within a sandy loam field, leaching did not remove salts from the 2 m profile. Instead, salts were only shifted from the upper (0–0.8 m) to the lower (0.8–2 m) soil layer. Strong groundwater contribution to evapotranspiration triggered secondary (re)-salinization of the topsoil during the cropping season. As a consequence, salt amounts in the top 0.8 m of soil increased from 9 to 22 Mg ha−1 in the field with loamy texture, and from 4 to 12 Mg ha−1 in the field with sandy texture. Management strategy analyses revealed that reducing soil evaporation by a surface residue layer would notably decrease secondary soil salinization. Here, owing to the reduced capillary rise of groundwater, post-season salt contents of the three fields were reduced by between 12 and 19% when compared with residue-free conditions. Even more effective would be improving the efficiency of the drainage system so as to lower the groundwater table. This would require a revision of the current irrigation management schemes, but could, as simulations revealed, reduce the post-season salt content in the 2 m soil profile of the three fields by between 36 and 59% when compared with unaltered conditions. For the revised irrigation management in total not more water than already foreseen by national irrigation recommendations would be needed. Increasing leaching and irrigation efficiency would help sustaining the present cotton production levels while reducing future leaching demands. More... »

PAGES

319-330

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00271-009-0149-0

DOI

http://dx.doi.org/10.1007/s00271-009-0149-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040035906


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/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Scientific Information Centre of the Interstate Coordination Water Commission of Central Asia, SIC-ICWC, Karasu-4/11, 100187, Tashkent, Uzbekistan", 
            "Department of Ecology and Resource Management, ZEF, Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Forkutsa", 
        "givenName": "I.", 
        "id": "sg:person.013365450513.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013365450513.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "International Center for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5466, Aleppo, Syria", 
            "Department of Ecology and Resource Management, ZEF, Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sommer", 
        "givenName": "Rolf", 
        "id": "sg:person.012611510351.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012611510351.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Division of Laboratory of Soil Leaching, Central Asian Research Institute of Irrigation, SANIIRI, Karasu-4/11, 100187, Tashkent, Uzbekistan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shirokova", 
        "givenName": "Y. I.", 
        "id": "sg:person.013461552751.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013461552751.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Ecology and Resource Management, ZEF, Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lamers", 
        "givenName": "J. P. A.", 
        "id": "sg:person.015135256034.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015135256034.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Ecology and Resource Management, ZEF, Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kienzler", 
        "givenName": "K.", 
        "id": "sg:person.015315757401.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015315757401.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Ecology and Resource Management, ZEF, Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tischbein", 
        "givenName": "B.", 
        "id": "sg:person.010250722340.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010250722340.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "International Center for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5466, Aleppo, Syria", 
            "Department of Ecology and Resource Management, ZEF, Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martius", 
        "givenName": "C.", 
        "id": "sg:person.010265036457.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010265036457.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Ecology and Resource Management, ZEF, Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vlek", 
        "givenName": "P. L. G.", 
        "id": "sg:person.014730503265.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730503265.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00271-009-0148-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003987250", 
          "https://doi.org/10.1007/s00271-009-0148-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00271-009-0148-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003987250", 
          "https://doi.org/10.1007/s00271-009-0148-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00271-009-0148-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003987250", 
          "https://doi.org/10.1007/s00271-009-0148-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/ea9860761", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008147223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1026560204665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010615974", 
          "https://doi.org/10.1023/a:1026560204665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-3774(97)00031-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025599998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002710100048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028165915", 
          "https://doi.org/10.1007/s002710100048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1051/agro:2008008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032222972", 
          "https://doi.org/10.1051/agro:2008008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002710050032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038253383", 
          "https://doi.org/10.1007/s002710050032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agwat.2003.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038774810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00222683", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039261176", 
          "https://doi.org/10.1007/bf00222683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-1770-5_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041860316", 
          "https://doi.org/10.1007/978-94-009-1770-5_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-1770-5_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041860316", 
          "https://doi.org/10.1007/978-94-009-1770-5_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agwat.2005.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042973447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10795-007-9033-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044556419", 
          "https://doi.org/10.1007/s10795-007-9033-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07900620120094136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053289722"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-05", 
    "datePublishedReg": "2009-05-01", 
    "description": "Years of ill-managed irrigation have triggered secondary soil salinization in the Khorezm region of Uzbekistan located in the Aral Sea basin. To assess the magnitude and dynamics of secondary soil salinization, to quantify improved management strategies and to derive updated irrigation standards, the soil water model Hydrus-1D was used. Water and soil salinity dynamics in three cotton fields with different soil textures were monitored and simulated for the years 2003 and 2005. Until now in Khorezm, overall soil salinity could only be controlled by pre-season salt leaching using high amounts of water. This water, however, may not be available anymore in the near future because of global climate change and shrinking fresh water resources. Simulations confirmed that the present leaching practice is barely effective. At two out of the three locations within a sandy loam field, leaching did not remove salts from the 2 m profile. Instead, salts were only shifted from the upper (0\u20130.8 m) to the lower (0.8\u20132 m) soil layer. Strong groundwater contribution to evapotranspiration triggered secondary (re)-salinization of the topsoil during the cropping season. As a consequence, salt amounts in the top 0.8 m of soil increased from 9 to 22 Mg ha\u22121 in the field with loamy texture, and from 4 to 12 Mg ha\u22121 in the field with sandy texture. Management strategy analyses revealed that reducing soil evaporation by a surface residue layer would notably decrease secondary soil salinization. Here, owing to the reduced capillary rise of groundwater, post-season salt contents of the three fields were reduced by between 12 and 19% when compared with residue-free conditions. Even more effective would be improving the efficiency of the drainage system so as to lower the groundwater table. This would require a revision of the current irrigation management schemes, but could, as simulations revealed, reduce the post-season salt content in the 2 m soil profile of the three fields by between 36 and 59% when compared with unaltered conditions. For the revised irrigation management in total not more water than already foreseen by national irrigation recommendations would be needed. Increasing leaching and irrigation efficiency would help sustaining the present cotton production levels while reducing future leaching demands.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00271-009-0149-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136147", 
        "issn": [
          "0342-7188", 
          "1432-1319"
        ], 
        "name": "Irrigation Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "name": "Modeling irrigated cotton with shallow groundwater in the Aral Sea Basin of Uzbekistan: II. Soil salinity dynamics", 
    "pagination": "319-330", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "beb785016a4f8f8bfc96f7027cafbd04bf2277c8a0c7e57f4312d5a13af97a0a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00271-009-0149-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040035906"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00271-009-0149-0", 
      "https://app.dimensions.ai/details/publication/pub.1040035906"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:29", 
    "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/v90/0000000373_0000000373/records_13084_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00271-009-0149-0"
  }
]
 

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/s00271-009-0149-0'

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/s00271-009-0149-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00271-009-0149-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00271-009-0149-0'


 

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

161 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00271-009-0149-0 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N48847730d5c94580a5f90493835b2772
4 schema:citation sg:pub.10.1007/978-94-009-1770-5_4
5 sg:pub.10.1007/bf00222683
6 sg:pub.10.1007/s00271-009-0148-1
7 sg:pub.10.1007/s002710050032
8 sg:pub.10.1007/s002710100048
9 sg:pub.10.1007/s10795-007-9033-3
10 sg:pub.10.1023/a:1026560204665
11 sg:pub.10.1051/agro:2008008
12 https://doi.org/10.1016/j.agwat.2003.10.007
13 https://doi.org/10.1016/j.agwat.2005.03.003
14 https://doi.org/10.1016/s0378-3774(97)00031-0
15 https://doi.org/10.1071/ea9860761
16 https://doi.org/10.1080/07900620120094136
17 schema:datePublished 2009-05
18 schema:datePublishedReg 2009-05-01
19 schema:description Years of ill-managed irrigation have triggered secondary soil salinization in the Khorezm region of Uzbekistan located in the Aral Sea basin. To assess the magnitude and dynamics of secondary soil salinization, to quantify improved management strategies and to derive updated irrigation standards, the soil water model Hydrus-1D was used. Water and soil salinity dynamics in three cotton fields with different soil textures were monitored and simulated for the years 2003 and 2005. Until now in Khorezm, overall soil salinity could only be controlled by pre-season salt leaching using high amounts of water. This water, however, may not be available anymore in the near future because of global climate change and shrinking fresh water resources. Simulations confirmed that the present leaching practice is barely effective. At two out of the three locations within a sandy loam field, leaching did not remove salts from the 2 m profile. Instead, salts were only shifted from the upper (0–0.8 m) to the lower (0.8–2 m) soil layer. Strong groundwater contribution to evapotranspiration triggered secondary (re)-salinization of the topsoil during the cropping season. As a consequence, salt amounts in the top 0.8 m of soil increased from 9 to 22 Mg ha−1 in the field with loamy texture, and from 4 to 12 Mg ha−1 in the field with sandy texture. Management strategy analyses revealed that reducing soil evaporation by a surface residue layer would notably decrease secondary soil salinization. Here, owing to the reduced capillary rise of groundwater, post-season salt contents of the three fields were reduced by between 12 and 19% when compared with residue-free conditions. Even more effective would be improving the efficiency of the drainage system so as to lower the groundwater table. This would require a revision of the current irrigation management schemes, but could, as simulations revealed, reduce the post-season salt content in the 2 m soil profile of the three fields by between 36 and 59% when compared with unaltered conditions. For the revised irrigation management in total not more water than already foreseen by national irrigation recommendations would be needed. Increasing leaching and irrigation efficiency would help sustaining the present cotton production levels while reducing future leaching demands.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N7379575e172a4e70b1de887e1140f763
24 Nd420afa8bec04aa897471c77d48c4545
25 sg:journal.1136147
26 schema:name Modeling irrigated cotton with shallow groundwater in the Aral Sea Basin of Uzbekistan: II. Soil salinity dynamics
27 schema:pagination 319-330
28 schema:productId N53adedd96c6b4d02892178544b786afe
29 N72b8969e49b04ab2a4298e67bdf28169
30 Nd54ee58f49894adcaf9f621940bf17a0
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040035906
32 https://doi.org/10.1007/s00271-009-0149-0
33 schema:sdDatePublished 2019-04-11T14:29
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N5f608de07ba9498a92770af914a5365b
36 schema:url http://link.springer.com/10.1007%2Fs00271-009-0149-0
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N21861b697a5f4687b2f9b64415275a6e rdf:first sg:person.015315757401.80
41 rdf:rest Nff53bdafab0641abbff6b9c059f86f7e
42 N48847730d5c94580a5f90493835b2772 rdf:first sg:person.013365450513.18
43 rdf:rest N7451d2a910d84e87aafc676b7652c8e9
44 N53adedd96c6b4d02892178544b786afe schema:name dimensions_id
45 schema:value pub.1040035906
46 rdf:type schema:PropertyValue
47 N5e0ad5dec0264907bec680402fd9ea8c rdf:first sg:person.014730503265.37
48 rdf:rest rdf:nil
49 N5f608de07ba9498a92770af914a5365b schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 N696d5cc4dc32408ebc722aab3bb4fd81 rdf:first sg:person.013461552751.30
52 rdf:rest Nade47f9ac19a476e8cb62372c4949a52
53 N72b8969e49b04ab2a4298e67bdf28169 schema:name doi
54 schema:value 10.1007/s00271-009-0149-0
55 rdf:type schema:PropertyValue
56 N7379575e172a4e70b1de887e1140f763 schema:issueNumber 4
57 rdf:type schema:PublicationIssue
58 N7451d2a910d84e87aafc676b7652c8e9 rdf:first sg:person.012611510351.46
59 rdf:rest N696d5cc4dc32408ebc722aab3bb4fd81
60 N9fd4190f3343403b8994a3ef7c1be5b6 rdf:first sg:person.010265036457.54
61 rdf:rest N5e0ad5dec0264907bec680402fd9ea8c
62 Nade47f9ac19a476e8cb62372c4949a52 rdf:first sg:person.015135256034.15
63 rdf:rest N21861b697a5f4687b2f9b64415275a6e
64 Nc648761eee454ef5b32a7e23f205a584 schema:name Division of Laboratory of Soil Leaching, Central Asian Research Institute of Irrigation, SANIIRI, Karasu-4/11, 100187, Tashkent, Uzbekistan
65 rdf:type schema:Organization
66 Nd420afa8bec04aa897471c77d48c4545 schema:volumeNumber 27
67 rdf:type schema:PublicationVolume
68 Nd54ee58f49894adcaf9f621940bf17a0 schema:name readcube_id
69 schema:value beb785016a4f8f8bfc96f7027cafbd04bf2277c8a0c7e57f4312d5a13af97a0a
70 rdf:type schema:PropertyValue
71 Nff53bdafab0641abbff6b9c059f86f7e rdf:first sg:person.010250722340.71
72 rdf:rest N9fd4190f3343403b8994a3ef7c1be5b6
73 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
74 schema:name Earth Sciences
75 rdf:type schema:DefinedTerm
76 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
77 schema:name Physical Geography and Environmental Geoscience
78 rdf:type schema:DefinedTerm
79 sg:journal.1136147 schema:issn 0342-7188
80 1432-1319
81 schema:name Irrigation Science
82 rdf:type schema:Periodical
83 sg:person.010250722340.71 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
84 schema:familyName Tischbein
85 schema:givenName B.
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010250722340.71
87 rdf:type schema:Person
88 sg:person.010265036457.54 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
89 schema:familyName Martius
90 schema:givenName C.
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010265036457.54
92 rdf:type schema:Person
93 sg:person.012611510351.46 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
94 schema:familyName Sommer
95 schema:givenName Rolf
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012611510351.46
97 rdf:type schema:Person
98 sg:person.013365450513.18 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
99 schema:familyName Forkutsa
100 schema:givenName I.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013365450513.18
102 rdf:type schema:Person
103 sg:person.013461552751.30 schema:affiliation Nc648761eee454ef5b32a7e23f205a584
104 schema:familyName Shirokova
105 schema:givenName Y. I.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013461552751.30
107 rdf:type schema:Person
108 sg:person.014730503265.37 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
109 schema:familyName Vlek
110 schema:givenName P. L. G.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730503265.37
112 rdf:type schema:Person
113 sg:person.015135256034.15 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
114 schema:familyName Lamers
115 schema:givenName J. P. A.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015135256034.15
117 rdf:type schema:Person
118 sg:person.015315757401.80 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
119 schema:familyName Kienzler
120 schema:givenName K.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015315757401.80
122 rdf:type schema:Person
123 sg:pub.10.1007/978-94-009-1770-5_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041860316
124 https://doi.org/10.1007/978-94-009-1770-5_4
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/bf00222683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039261176
127 https://doi.org/10.1007/bf00222683
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s00271-009-0148-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003987250
130 https://doi.org/10.1007/s00271-009-0148-1
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s002710050032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038253383
133 https://doi.org/10.1007/s002710050032
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s002710100048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028165915
136 https://doi.org/10.1007/s002710100048
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s10795-007-9033-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044556419
139 https://doi.org/10.1007/s10795-007-9033-3
140 rdf:type schema:CreativeWork
141 sg:pub.10.1023/a:1026560204665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010615974
142 https://doi.org/10.1023/a:1026560204665
143 rdf:type schema:CreativeWork
144 sg:pub.10.1051/agro:2008008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032222972
145 https://doi.org/10.1051/agro:2008008
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.agwat.2003.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038774810
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.agwat.2005.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042973447
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/s0378-3774(97)00031-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025599998
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1071/ea9860761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008147223
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1080/07900620120094136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053289722
156 rdf:type schema:CreativeWork
157 https://www.grid.ac/institutes/grid.10388.32 schema:alternateName University of Bonn
158 schema:name Department of Ecology and Resource Management, ZEF, Center for Development Research, University of Bonn, Walter-Flex-Str. 3, 53113, Bonn, Germany
159 International Center for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5466, Aleppo, Syria
160 Scientific Information Centre of the Interstate Coordination Water Commission of Central Asia, SIC-ICWC, Karasu-4/11, 100187, Tashkent, Uzbekistan
161 rdf:type schema:Organization
 




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


...