Temporal and Spatial Variation of Nutrient Levels in the Nemunas River (Lithuania and Belarus) View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-06-01

AUTHORS

Antanas Sigitas Sileika, Per Stålnacke, Saulius Kutra, Kazimieras Gaigalis, Laima Berankiene

ABSTRACT

There are discordant results on trends in nutrient river water quality from the economical transition countries in Europe. The present study assessed the impact of these economical changes on the load and concentration at 17 monitoring stations along the Nemunas River and its major tributaries (Lithuania and Belarus). Three time periods were evaluated: the Soviet rule command system period 1986–1991, the transfer to market economy period 1992–1996 and the post reform period 1997–2002. The most surprising result in this study, was the increased area-specific load of NO3-N from the first to the third period at almost all the sampling sites. The increase was particularly large (43–78%) at the sites in the Lithuanian part of the river. The corresponding load increase in the Belarussian part of the river was only 1–15%. The statistical analyses of concentration data confirm the strong upward NO3-N trend at the Nemunas mouth and at 5 of the 6 tributaries in the lower part of Nemunas. Temporal and spatial analysis of nitrates transport in the Nemunas River and its main tributaries revealed that nitrates mainly originate from agricultural areas. The upward trends were most likely an effect of ploughing of pastures and unbalanced crop fertilisation in combination with large storage and accumulation of soil-nitrogen during the Soviet period.On contrary to nitrate-N, the area-specific load of PO4-P decreased significantly from the first to the third period at all sites along the Nemunas River (31–86%). Seasonal (SMK) and Partial (PMK) Mann-Kendall tests on PO4-P concentrations also showed significant downward trend at 14 of 16 investigated sites. The decrease of PO4-P levels was attributed to the reduction of municipal and industrial point source emissions and to the decreased livestock numbers.The NH4-N load showed the same pattern as PO4-P. At the river mouth the load was 90 kg km−2 yr−1 during the first period compared to only 20–30 kg km−2 yr−1 in the third period. The trend test on NH4-N concentrations detected significant downward trends at 5 out of 16 sites. The declines were explained by decreased emissions from cities and large animal breeding farms.This study showed that trend analysis at multiple sites in a river basin is crucial for the understanding of the variability in time and space. Such analysis is also important for our interpretation of underlying sources and fluxes in a drainage basin over time. This is particularly important for compounds that have different source origin. More... »

PAGES

335-354

References to SciGraph publications

  • 2002-09. Phosphate Run-Off in the Nevezis River (Lithuania) in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • 1999-09. Estimation of riverine loads of nitrogen and phosphorus to the Baltic Sea, 1970–1993 in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • 2002-06. Losses of Nitrogen and Phosphorus from Agricultural and Forest Areas in Finland during the 1980s and 1990s in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • 1999-11. Trends in Nitrogen Transport in Swedish Rivers in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • 2001-02. Long-Term and Seasonal Changes in Chemical Composition of Surface Waters in Latvia in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • 2004-08. Estimation of the Human Impact on Nutrient Loads Carried by the Elbe River in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10661-006-9186-9

    DOI

    http://dx.doi.org/10.1007/s10661-006-9186-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1003017178

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/16738758


    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/2008/04", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Earth Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Environmental Monitoring", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Food", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lithuania", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nitrogen", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phosphorus", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Republic of Belarus", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Rivers", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Time Factors", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sileika", 
            "givenName": "Antanas Sigitas", 
            "id": "sg:person.01152656076.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152656076.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NIVA-Norwegian Institute for Water Research, N-0411, Oslo, Norway", 
              "id": "http://www.grid.ac/institutes/grid.6407.5", 
              "name": [
                "NIVA-Norwegian Institute for Water Research, N-0411, Oslo, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "St\u00e5lnacke", 
            "givenName": "Per", 
            "id": "sg:person.0677441503.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677441503.55"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kutra", 
            "givenName": "Saulius", 
            "id": "sg:person.01256460112.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256460112.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gaigalis", 
            "givenName": "Kazimieras", 
            "id": "sg:person.01220771276.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220771276.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Berankiene", 
            "givenName": "Laima", 
            "id": "sg:person.01372706512.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372706512.81"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1023/a:1006073015871", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019242248", 
              "https://doi.org/10.1023/a:1006073015871"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:emas.0000031722.88972.62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003867838", 
              "https://doi.org/10.1023/b:emas.0000031722.88972.62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1006352015230", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029803794", 
              "https://doi.org/10.1023/a:1006352015230"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1015584014417", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017050725", 
              "https://doi.org/10.1023/a:1015584014417"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1006007711735", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022787381", 
              "https://doi.org/10.1023/a:1006007711735"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1016311701199", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011155129", 
              "https://doi.org/10.1023/a:1016311701199"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2006-06-01", 
        "datePublishedReg": "2006-06-01", 
        "description": "There are discordant results on trends in nutrient river water quality from the economical transition countries in Europe. The present study assessed the impact of these economical changes on the load and concentration at 17 monitoring stations along the Nemunas River and its major tributaries (Lithuania and Belarus). Three time periods were evaluated: the Soviet rule command system period 1986\u20131991, the transfer to market economy period 1992\u20131996 and the post reform period 1997\u20132002. The most surprising result in this study, was the increased area-specific load of NO3-N from the first to the third period at almost all the sampling sites. The increase was particularly large (43\u201378%) at the sites in the Lithuanian part of the river. The corresponding load increase in the Belarussian part of the river was only 1\u201315%. The statistical analyses of concentration data confirm the strong upward NO3-N trend at the Nemunas mouth and at 5 of the 6 tributaries in the lower part of Nemunas. Temporal and spatial analysis of nitrates transport in the Nemunas River and its main tributaries revealed that nitrates mainly originate from agricultural areas. The upward trends were most likely an effect of ploughing of pastures and unbalanced crop fertilisation in combination with large storage and accumulation of soil-nitrogen during the Soviet period.On contrary to nitrate-N, the area-specific load of PO4-P decreased significantly from the first to the third period at all sites along the Nemunas River (31\u201386%). Seasonal (SMK) and Partial (PMK) Mann-Kendall tests on PO4-P concentrations also showed significant downward trend at 14 of 16 investigated sites. The decrease of PO4-P levels was attributed to the reduction of municipal and industrial point source emissions and to the decreased livestock numbers.The NH4-N load showed the same pattern as PO4-P. At the river mouth the load was 90 kg km\u22122 yr\u22121 during the first period compared to only 20\u201330 kg km\u22122 yr\u22121 in the third period. The trend test on NH4-N concentrations detected significant downward trends at 5 out of 16 sites. The declines were explained by decreased emissions from cities and large animal breeding farms.This study showed that trend analysis at multiple sites in a river basin is crucial for the understanding of the variability in time and space. Such analysis is also important for our interpretation of underlying sources and fluxes in a drainage basin over time. This is particularly important for compounds that have different source origin.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10661-006-9186-9", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1095684", 
            "issn": [
              "0167-6369", 
              "1573-2959"
            ], 
            "name": "Environmental Monitoring and Assessment", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1-3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "122"
          }
        ], 
        "keywords": [
          "river water quality", 
          "transition countries", 
          "Nemunas River", 
          "third period", 
          "agricultural areas", 
          "upward trend", 
          "effects of ploughing", 
          "Soviet period", 
          "downward trend", 
          "point source emissions", 
          "livestock numbers", 
          "first period", 
          "such analyses", 
          "trends", 
          "water quality", 
          "countries", 
          "Europe", 
          "impact", 
          "economical changes", 
          "monitoring stations", 
          "River", 
          "major tributaries", 
          "tributaries", 
          "time period", 
          "period", 
          "surprising result", 
          "NO3-N", 
          "sampling sites", 
          "sites", 
          "Lithuanian part", 
          "statistical analysis", 
          "analysis", 
          "concentration data", 
          "lower part", 
          "Nemunas", 
          "spatial analysis", 
          "nitrate transport", 
          "main tributaries", 
          "nitrate", 
          "ploughing", 
          "pasture", 
          "crop fertilization", 
          "fertilization", 
          "large storage", 
          "PO4-P", 
          "Seasonal", 
          "Mann-Kendall", 
          "PO4-P concentrations", 
          "significant downward trend", 
          "PO4-P levels", 
          "source emissions", 
          "emission", 
          "NH4-N load", 
          "PO4-P.", 
          "river mouth", 
          "NH4-N concentrations", 
          "decline", 
          "decreased emissions", 
          "city", 
          "animal breeding farms", 
          "farms", 
          "trend analysis", 
          "River Basin", 
          "basin", 
          "space", 
          "drainage basin", 
          "source origin", 
          "spatial variation", 
          "nutrient levels", 
          "results", 
          "quality", 
          "present study", 
          "study", 
          "changes", 
          "load", 
          "concentration", 
          "stations", 
          "transfer", 
          "increase", 
          "part", 
          "load increase", 
          "data", 
          "mouth", 
          "transport", 
          "area", 
          "effect", 
          "combination", 
          "storage", 
          "accumulation", 
          "decrease", 
          "levels", 
          "reduction", 
          "industrial point source emissions", 
          "number", 
          "same pattern", 
          "patterns", 
          "trend test", 
          "test", 
          "breeding farms", 
          "multiple sites", 
          "understanding", 
          "variability", 
          "time", 
          "interpretation", 
          "source", 
          "flux", 
          "origin", 
          "variation", 
          "compounds", 
          "different source origins", 
          "discordant results", 
          "nutrient river water quality", 
          "economical transition countries", 
          "Soviet rule command system period 1986", 
          "rule command system period 1986", 
          "command system period 1986", 
          "system period 1986", 
          "economy period 1992", 
          "post reform period 1997", 
          "reform period 1997", 
          "area-specific load", 
          "corresponding load increase", 
          "Belarussian part", 
          "strong upward NO3-N trend", 
          "upward NO3-N trend", 
          "NO3-N trend", 
          "Nemunas mouth", 
          "unbalanced crop fertilisation", 
          "Partial (PMK) Mann-Kendall", 
          "decreased livestock numbers", 
          "large animal breeding farms"
        ], 
        "name": "Temporal and Spatial Variation of Nutrient Levels in the Nemunas River (Lithuania and Belarus)", 
        "pagination": "335-354", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1003017178"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10661-006-9186-9"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "16738758"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10661-006-9186-9", 
          "https://app.dimensions.ai/details/publication/pub.1003017178"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:15", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_421.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10661-006-9186-9"
      }
    ]
     

    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/s10661-006-9186-9'

    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/s10661-006-9186-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10661-006-9186-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10661-006-9186-9'


     

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

    280 TRIPLES      22 PREDICATES      171 URIs      157 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10661-006-9186-9 schema:about N12d05bb33d95498aaab60b2c07d76b44
    2 N2402d2b73a914e478c693ca47654e1ad
    3 N2415fa4d11d1422798e4fc1e1871f164
    4 N3fc67b561cff4fe5a8b92fb77dcc0e99
    5 N90dc344b34774ff69cb2d12de2e9c768
    6 Nd789b88f48f14c1daee0202869bda59d
    7 Ndb7e289d548245ce8654fdf4c8acd81b
    8 Ne4dc92d9909b4f8786d810f4945d2ec9
    9 anzsrc-for:04
    10 anzsrc-for:0406
    11 schema:author Nc67c7fdc5b30449492bd379d35aa0bcc
    12 schema:citation sg:pub.10.1023/a:1006007711735
    13 sg:pub.10.1023/a:1006073015871
    14 sg:pub.10.1023/a:1006352015230
    15 sg:pub.10.1023/a:1015584014417
    16 sg:pub.10.1023/a:1016311701199
    17 sg:pub.10.1023/b:emas.0000031722.88972.62
    18 schema:datePublished 2006-06-01
    19 schema:datePublishedReg 2006-06-01
    20 schema:description There are discordant results on trends in nutrient river water quality from the economical transition countries in Europe. The present study assessed the impact of these economical changes on the load and concentration at 17 monitoring stations along the Nemunas River and its major tributaries (Lithuania and Belarus). Three time periods were evaluated: the Soviet rule command system period 1986–1991, the transfer to market economy period 1992–1996 and the post reform period 1997–2002. The most surprising result in this study, was the increased area-specific load of NO3-N from the first to the third period at almost all the sampling sites. The increase was particularly large (43–78%) at the sites in the Lithuanian part of the river. The corresponding load increase in the Belarussian part of the river was only 1–15%. The statistical analyses of concentration data confirm the strong upward NO3-N trend at the Nemunas mouth and at 5 of the 6 tributaries in the lower part of Nemunas. Temporal and spatial analysis of nitrates transport in the Nemunas River and its main tributaries revealed that nitrates mainly originate from agricultural areas. The upward trends were most likely an effect of ploughing of pastures and unbalanced crop fertilisation in combination with large storage and accumulation of soil-nitrogen during the Soviet period.On contrary to nitrate-N, the area-specific load of PO4-P decreased significantly from the first to the third period at all sites along the Nemunas River (31–86%). Seasonal (SMK) and Partial (PMK) Mann-Kendall tests on PO4-P concentrations also showed significant downward trend at 14 of 16 investigated sites. The decrease of PO4-P levels was attributed to the reduction of municipal and industrial point source emissions and to the decreased livestock numbers.The NH4-N load showed the same pattern as PO4-P. At the river mouth the load was 90 kg km−2 yr−1 during the first period compared to only 20–30 kg km−2 yr−1 in the third period. The trend test on NH4-N concentrations detected significant downward trends at 5 out of 16 sites. The declines were explained by decreased emissions from cities and large animal breeding farms.This study showed that trend analysis at multiple sites in a river basin is crucial for the understanding of the variability in time and space. Such analysis is also important for our interpretation of underlying sources and fluxes in a drainage basin over time. This is particularly important for compounds that have different source origin.
    21 schema:genre article
    22 schema:inLanguage en
    23 schema:isAccessibleForFree false
    24 schema:isPartOf N35a5eace367146c581b9cf51a1c36123
    25 Nd79f3c00d0ee49e590fe674f7482e9dc
    26 sg:journal.1095684
    27 schema:keywords Belarussian part
    28 Europe
    29 Lithuanian part
    30 Mann-Kendall
    31 NH4-N concentrations
    32 NH4-N load
    33 NO3-N
    34 NO3-N trend
    35 Nemunas
    36 Nemunas River
    37 Nemunas mouth
    38 PO4-P
    39 PO4-P concentrations
    40 PO4-P levels
    41 PO4-P.
    42 Partial (PMK) Mann-Kendall
    43 River
    44 River Basin
    45 Seasonal
    46 Soviet period
    47 Soviet rule command system period 1986
    48 accumulation
    49 agricultural areas
    50 analysis
    51 animal breeding farms
    52 area
    53 area-specific load
    54 basin
    55 breeding farms
    56 changes
    57 city
    58 combination
    59 command system period 1986
    60 compounds
    61 concentration
    62 concentration data
    63 corresponding load increase
    64 countries
    65 crop fertilization
    66 data
    67 decline
    68 decrease
    69 decreased emissions
    70 decreased livestock numbers
    71 different source origins
    72 discordant results
    73 downward trend
    74 drainage basin
    75 economical changes
    76 economical transition countries
    77 economy period 1992
    78 effect
    79 effects of ploughing
    80 emission
    81 farms
    82 fertilization
    83 first period
    84 flux
    85 impact
    86 increase
    87 industrial point source emissions
    88 interpretation
    89 large animal breeding farms
    90 large storage
    91 levels
    92 livestock numbers
    93 load
    94 load increase
    95 lower part
    96 main tributaries
    97 major tributaries
    98 monitoring stations
    99 mouth
    100 multiple sites
    101 nitrate
    102 nitrate transport
    103 number
    104 nutrient levels
    105 nutrient river water quality
    106 origin
    107 part
    108 pasture
    109 patterns
    110 period
    111 ploughing
    112 point source emissions
    113 post reform period 1997
    114 present study
    115 quality
    116 reduction
    117 reform period 1997
    118 results
    119 river mouth
    120 river water quality
    121 rule command system period 1986
    122 same pattern
    123 sampling sites
    124 significant downward trend
    125 sites
    126 source
    127 source emissions
    128 source origin
    129 space
    130 spatial analysis
    131 spatial variation
    132 stations
    133 statistical analysis
    134 storage
    135 strong upward NO3-N trend
    136 study
    137 such analyses
    138 surprising result
    139 system period 1986
    140 test
    141 third period
    142 time
    143 time period
    144 transfer
    145 transition countries
    146 transport
    147 trend analysis
    148 trend test
    149 trends
    150 tributaries
    151 unbalanced crop fertilisation
    152 understanding
    153 upward NO3-N trend
    154 upward trend
    155 variability
    156 variation
    157 water quality
    158 schema:name Temporal and Spatial Variation of Nutrient Levels in the Nemunas River (Lithuania and Belarus)
    159 schema:pagination 335-354
    160 schema:productId N03aae33538a849a5b93fc06ce1083c88
    161 Nb0d0bdd538314d908892bca1efb7abb1
    162 Necff648bf6ff488ca601888daa06eb9e
    163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003017178
    164 https://doi.org/10.1007/s10661-006-9186-9
    165 schema:sdDatePublished 2022-01-01T18:15
    166 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    167 schema:sdPublisher Nef428781f2554e43859852fd6acb9822
    168 schema:url https://doi.org/10.1007/s10661-006-9186-9
    169 sgo:license sg:explorer/license/
    170 sgo:sdDataset articles
    171 rdf:type schema:ScholarlyArticle
    172 N03aae33538a849a5b93fc06ce1083c88 schema:name dimensions_id
    173 schema:value pub.1003017178
    174 rdf:type schema:PropertyValue
    175 N12d05bb33d95498aaab60b2c07d76b44 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Republic of Belarus
    177 rdf:type schema:DefinedTerm
    178 N22fe8080e75c42809511f803d3888b66 rdf:first sg:person.01220771276.58
    179 rdf:rest Nebd9723f7742406db09954828c64f580
    180 N2402d2b73a914e478c693ca47654e1ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    181 schema:name Time Factors
    182 rdf:type schema:DefinedTerm
    183 N2415fa4d11d1422798e4fc1e1871f164 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Nitrogen
    185 rdf:type schema:DefinedTerm
    186 N35a5eace367146c581b9cf51a1c36123 schema:issueNumber 1-3
    187 rdf:type schema:PublicationIssue
    188 N3fc67b561cff4fe5a8b92fb77dcc0e99 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name Environmental Monitoring
    190 rdf:type schema:DefinedTerm
    191 N5fe055bafe9849459402747ddf29c98f rdf:first sg:person.01256460112.92
    192 rdf:rest N22fe8080e75c42809511f803d3888b66
    193 N90dc344b34774ff69cb2d12de2e9c768 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    194 schema:name Food
    195 rdf:type schema:DefinedTerm
    196 Nb0d0bdd538314d908892bca1efb7abb1 schema:name doi
    197 schema:value 10.1007/s10661-006-9186-9
    198 rdf:type schema:PropertyValue
    199 Nb2db7c7def884cdf968f7d630a71c07e rdf:first sg:person.0677441503.55
    200 rdf:rest N5fe055bafe9849459402747ddf29c98f
    201 Nc67c7fdc5b30449492bd379d35aa0bcc rdf:first sg:person.01152656076.13
    202 rdf:rest Nb2db7c7def884cdf968f7d630a71c07e
    203 Nd789b88f48f14c1daee0202869bda59d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    204 schema:name Lithuania
    205 rdf:type schema:DefinedTerm
    206 Nd79f3c00d0ee49e590fe674f7482e9dc schema:volumeNumber 122
    207 rdf:type schema:PublicationVolume
    208 Ndb7e289d548245ce8654fdf4c8acd81b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    209 schema:name Rivers
    210 rdf:type schema:DefinedTerm
    211 Ne4dc92d9909b4f8786d810f4945d2ec9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    212 schema:name Phosphorus
    213 rdf:type schema:DefinedTerm
    214 Nebd9723f7742406db09954828c64f580 rdf:first sg:person.01372706512.81
    215 rdf:rest rdf:nil
    216 Necff648bf6ff488ca601888daa06eb9e schema:name pubmed_id
    217 schema:value 16738758
    218 rdf:type schema:PropertyValue
    219 Nef428781f2554e43859852fd6acb9822 schema:name Springer Nature - SN SciGraph project
    220 rdf:type schema:Organization
    221 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    222 schema:name Earth Sciences
    223 rdf:type schema:DefinedTerm
    224 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
    225 schema:name Physical Geography and Environmental Geoscience
    226 rdf:type schema:DefinedTerm
    227 sg:journal.1095684 schema:issn 0167-6369
    228 1573-2959
    229 schema:name Environmental Monitoring and Assessment
    230 schema:publisher Springer Nature
    231 rdf:type schema:Periodical
    232 sg:person.01152656076.13 schema:affiliation grid-institutes:None
    233 schema:familyName Sileika
    234 schema:givenName Antanas Sigitas
    235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152656076.13
    236 rdf:type schema:Person
    237 sg:person.01220771276.58 schema:affiliation grid-institutes:None
    238 schema:familyName Gaigalis
    239 schema:givenName Kazimieras
    240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220771276.58
    241 rdf:type schema:Person
    242 sg:person.01256460112.92 schema:affiliation grid-institutes:None
    243 schema:familyName Kutra
    244 schema:givenName Saulius
    245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256460112.92
    246 rdf:type schema:Person
    247 sg:person.01372706512.81 schema:affiliation grid-institutes:None
    248 schema:familyName Berankiene
    249 schema:givenName Laima
    250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372706512.81
    251 rdf:type schema:Person
    252 sg:person.0677441503.55 schema:affiliation grid-institutes:grid.6407.5
    253 schema:familyName Stålnacke
    254 schema:givenName Per
    255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677441503.55
    256 rdf:type schema:Person
    257 sg:pub.10.1023/a:1006007711735 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022787381
    258 https://doi.org/10.1023/a:1006007711735
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1023/a:1006073015871 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019242248
    261 https://doi.org/10.1023/a:1006073015871
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1023/a:1006352015230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029803794
    264 https://doi.org/10.1023/a:1006352015230
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1023/a:1015584014417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017050725
    267 https://doi.org/10.1023/a:1015584014417
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1023/a:1016311701199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011155129
    270 https://doi.org/10.1023/a:1016311701199
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1023/b:emas.0000031722.88972.62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003867838
    273 https://doi.org/10.1023/b:emas.0000031722.88972.62
    274 rdf:type schema:CreativeWork
    275 grid-institutes:None schema:alternateName Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania
    276 schema:name Water Management Institute of the Lithuanian, University of Agriculture, Parko 6 Vilainiai, LT-58102, Kedainiai, Lithuania
    277 rdf:type schema:Organization
    278 grid-institutes:grid.6407.5 schema:alternateName NIVA-Norwegian Institute for Water Research, N-0411, Oslo, Norway
    279 schema:name NIVA-Norwegian Institute for Water Research, N-0411, Oslo, Norway
    280 rdf:type schema:Organization
     




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


    ...