Light quality determines primary production in nutrient-poor small lakes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yukiko Tanabe, Makoto Hori, Akiko N. Mizuno, Takashi Osono, Masaki Uchida, Sakae Kudoh, Masumi Yamamuro

ABSTRACT

The availability of nutrients for primary producers has long been thought to be the main limiting factor for primary productivity in nutrient-poor lake ecosystems. However, recent studies have indicated that the availability of light energy is also important. On the other hand, the amount of phototroph was reported to decrease in summer in Antarctic lakes, furthermore, the light environment underwater was shown containing high amount of ultraviolet energy in small Antarctic lakes. Here, we hypothesized that primary productivity is limited by not only nutrients and simple light quantity but also light quality in nutrient-poor lakes. Then, we investigate factors influencing primary production by benthic phototrophic communities in shallow nutrient-poor lakes. We examine the relationships between primary production in 17 Antarctic freshwater lakes and nutrient concentrations in lake and benthic water, temperature and light energy. Primary production is decreased by ultraviolet energy reaching the lake bed, showing that production is determined by light quality. We also correlate ultraviolet energy in lake water with the catchment area of each lake. Our results show that the underwater light environment has an important influence on primary production as a key limitation factor and is sensitive to materials in runoff from the surrounding environment for pristine lakes. More... »

PAGES

4639

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-41003-9

DOI

http://dx.doi.org/10.1038/s41598-019-41003-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112760101

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30874599


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/2008/0602", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Ecology", 
        "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": "Graduate University For Advanced Studies", 
          "id": "https://www.grid.ac/institutes/grid.275033.0", 
          "name": [
            "National Institute of Polar Research, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, 190-8518, Tokyo, Japan", 
            "Department of Polar Science, SOKENDAI (The Graduate University for Advanced Studies), 10-3 Midori-cho, Tachikawa, 190-8518, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanabe", 
        "givenName": "Yukiko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8563, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hori", 
        "givenName": "Makoto", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya University", 
          "id": "https://www.grid.ac/institutes/grid.27476.30", 
          "name": [
            "Institute for Space-Earth Environmental Research, Nagoya University, 1 Furo-cho, Chikusa-ku, 464-8601, Nagoya, Aichi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mizuno", 
        "givenName": "Akiko N.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Doshisha University", 
          "id": "https://www.grid.ac/institutes/grid.255178.c", 
          "name": [
            "Department of Environmental Systems Science, Faculty of Science and Engineering, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe-shi, 610-0394, Kyoto, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osono", 
        "givenName": "Takashi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Graduate University For Advanced Studies", 
          "id": "https://www.grid.ac/institutes/grid.275033.0", 
          "name": [
            "National Institute of Polar Research, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, 190-8518, Tokyo, Japan", 
            "Department of Polar Science, SOKENDAI (The Graduate University for Advanced Studies), 10-3 Midori-cho, Tachikawa, 190-8518, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uchida", 
        "givenName": "Masaki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Graduate University For Advanced Studies", 
          "id": "https://www.grid.ac/institutes/grid.275033.0", 
          "name": [
            "National Institute of Polar Research, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, 190-8518, Tokyo, Japan", 
            "Department of Polar Science, SOKENDAI (The Graduate University for Advanced Studies), 10-3 Midori-cho, Tachikawa, 190-8518, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kudoh", 
        "givenName": "Sakae", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Geological Survey of Japan", 
          "id": "https://www.grid.ac/institutes/grid.466781.a", 
          "name": [
            "Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8563, Chiba, Japan", 
            "Institute of Geology and Geoinformation, Geological Survey of Japan (GSJ), AIST, Central 7, Higashi 1-1-1, Tsukuba, 305-8567, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamuro", 
        "givenName": "Masumi", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1046/j.1529-8817.1998.340118.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003547299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/iroh.200811068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005248764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1529-8817.2004.02127.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006373161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1529-8817.2004.02127.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006373161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02348617", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006996443", 
          "https://doi.org/10.1007/bf02348617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/bf02348617", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006996443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/bf02348617", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006996443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apgeochem.2012.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007873491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0968-0004(92)90503-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008624383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0968-0004(92)90503-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008624383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lo.2003.48.4.1408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010437262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00300-009-0687-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011219005", 
          "https://doi.org/10.1007/s00300-009-0687-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00300-009-0687-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011219005", 
          "https://doi.org/10.1007/s00300-009-0687-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00300-009-0687-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011219005", 
          "https://doi.org/10.1007/s00300-009-0687-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00300-009-0687-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011219005", 
          "https://doi.org/10.1007/s00300-009-0687-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1529-8817.2005.00154.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012936403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1529-8817.2005.00154.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012936403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-387-33745-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019368444", 
          "https://doi.org/10.1007/0-387-33745-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-387-33745-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019368444", 
          "https://doi.org/10.1007/0-387-33745-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-0587.2012.07348.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022525509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rstb.2002.1075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023081325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/ar059p0119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032822218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1529-8817.1999.3530448.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033183944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003000050401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033650612", 
          "https://doi.org/10.1007/s003000050401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003000050401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033650612", 
          "https://doi.org/10.1007/s003000050401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lo.2001.46.6.1331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036176797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036606604", 
          "https://doi.org/10.1038/nature08179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036606604", 
          "https://doi.org/10.1038/nature08179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lo.1995.40.8.1381", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038534706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09670269300650321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048921515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3800(88)90057-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048991391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3800(88)90057-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048991391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0806112105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049114456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jtbi.1998.0688", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049805492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00300-007-0347-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052563433", 
          "https://doi.org/10.1007/s00300-007-0347-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00300-007-0347-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052563433", 
          "https://doi.org/10.1007/s00300-007-0347-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00300-007-0347-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052563433", 
          "https://doi.org/10.1007/s00300-007-0347-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.195.4275.260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062514687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1310735", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069433057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/acprof:oso/9780199670499.001.0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098730860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/acprof:oso/9780199213887.001.0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098740300"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "The availability of nutrients for primary producers has long been thought to be the main limiting factor for primary productivity in nutrient-poor lake ecosystems. However, recent studies have indicated that the availability of light energy is also important. On the other hand, the amount of phototroph was reported to decrease in summer in Antarctic lakes, furthermore, the light environment underwater was shown containing high amount of ultraviolet energy in small Antarctic lakes. Here, we hypothesized that primary productivity is limited by not only nutrients and simple light quantity but also light quality in nutrient-poor lakes. Then, we investigate factors influencing primary production by benthic phototrophic communities in shallow nutrient-poor lakes. We examine the relationships between primary production in 17 Antarctic freshwater lakes and nutrient concentrations in lake and benthic water, temperature and light energy. Primary production is decreased by ultraviolet energy reaching the lake bed, showing that production is determined by light quality. We also correlate ultraviolet energy in lake water with the catchment area of each lake. Our results show that the underwater light environment has an important influence on primary production as a key limitation factor and is sensitive to materials in runoff from the surrounding environment for pristine lakes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-41003-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6143976", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5912169", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6035177", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Light quality determines primary production in nutrient-poor small lakes", 
    "pagination": "4639", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2be9f62d4109df4e91e8371de0b12c73a8eb4e6a557a65e5862bd27f3bb2dc9e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30874599"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-41003-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112760101"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-41003-9", 
      "https://app.dimensions.ai/details/publication/pub.1112760101"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:17", 
    "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/v90/0000000368_0000000368/records_78935_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-41003-9"
  }
]
 

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.10.1038/s41598-019-41003-9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-41003-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-41003-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-41003-9'


 

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

213 TRIPLES      21 PREDICATES      57 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-41003-9 schema:about anzsrc-for:06
2 anzsrc-for:0602
3 schema:author Nc81b3c9c108444a399bb3cb6f54fbf1b
4 schema:citation sg:pub.10.1007/0-387-33745-8
5 sg:pub.10.1007/bf02348617
6 sg:pub.10.1007/s00300-007-0347-2
7 sg:pub.10.1007/s00300-009-0687-1
8 sg:pub.10.1007/s003000050401
9 sg:pub.10.1038/nature08179
10 https://doi.org/10.1002/iroh.200811068
11 https://doi.org/10.1006/jtbi.1998.0688
12 https://doi.org/10.1007/bf02348617
13 https://doi.org/10.1016/0304-3800(88)90057-9
14 https://doi.org/10.1016/0968-0004(92)90503-2
15 https://doi.org/10.1016/j.apgeochem.2012.08.009
16 https://doi.org/10.1029/ar059p0119
17 https://doi.org/10.1046/j.1529-8817.1998.340118.x
18 https://doi.org/10.1046/j.1529-8817.1999.3530448.x
19 https://doi.org/10.1046/j.1529-8817.2004.02127.x
20 https://doi.org/10.1073/pnas.0806112105
21 https://doi.org/10.1080/09670269300650321
22 https://doi.org/10.1093/acprof:oso/9780199213887.001.0001
23 https://doi.org/10.1093/acprof:oso/9780199670499.001.0001
24 https://doi.org/10.1098/rstb.2002.1075
25 https://doi.org/10.1111/j.1529-8817.2005.00154.x
26 https://doi.org/10.1111/j.1600-0587.2012.07348.x
27 https://doi.org/10.1126/science.195.4275.260
28 https://doi.org/10.2307/1310735
29 https://doi.org/10.4319/lo.1995.40.8.1381
30 https://doi.org/10.4319/lo.2001.46.6.1331
31 https://doi.org/10.4319/lo.2003.48.4.1408
32 schema:datePublished 2019-12
33 schema:datePublishedReg 2019-12-01
34 schema:description The availability of nutrients for primary producers has long been thought to be the main limiting factor for primary productivity in nutrient-poor lake ecosystems. However, recent studies have indicated that the availability of light energy is also important. On the other hand, the amount of phototroph was reported to decrease in summer in Antarctic lakes, furthermore, the light environment underwater was shown containing high amount of ultraviolet energy in small Antarctic lakes. Here, we hypothesized that primary productivity is limited by not only nutrients and simple light quantity but also light quality in nutrient-poor lakes. Then, we investigate factors influencing primary production by benthic phototrophic communities in shallow nutrient-poor lakes. We examine the relationships between primary production in 17 Antarctic freshwater lakes and nutrient concentrations in lake and benthic water, temperature and light energy. Primary production is decreased by ultraviolet energy reaching the lake bed, showing that production is determined by light quality. We also correlate ultraviolet energy in lake water with the catchment area of each lake. Our results show that the underwater light environment has an important influence on primary production as a key limitation factor and is sensitive to materials in runoff from the surrounding environment for pristine lakes.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree true
38 schema:isPartOf N84ccc2d54f9b45b984879efbef74b2ce
39 Ndb54927e7a8f4910a122d9b02e733faf
40 sg:journal.1045337
41 schema:name Light quality determines primary production in nutrient-poor small lakes
42 schema:pagination 4639
43 schema:productId N4f747b031bf8455f9907dc44b3e1f207
44 N5f64377d8bf6483592f5f19cac95af23
45 N87faf7e88a51416c8fffb5a68029f496
46 N92aa42d639f34d0d81584781234b8972
47 Nded718075377449f8b2b2f1dd7388321
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112760101
49 https://doi.org/10.1038/s41598-019-41003-9
50 schema:sdDatePublished 2019-04-11T13:17
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N3108cf7d575a4b9bbad781069994f7d6
53 schema:url https://www.nature.com/articles/s41598-019-41003-9
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N008dc06df85b40ceab29a67039b63e4b schema:affiliation https://www.grid.ac/institutes/grid.275033.0
58 schema:familyName Kudoh
59 schema:givenName Sakae
60 rdf:type schema:Person
61 N068706a109c347baa69b1a02c8e3d573 rdf:first N171d3126fa80410daa3d819531bc889c
62 rdf:rest N659f1d37feaa4758867b60604aef182d
63 N16548639ec134f038da9408f50f54bc2 rdf:first N2a3fe65d8a4d4c8bb1956f2c1f1496a1
64 rdf:rest Nf94b8f4dd7924b78a77722e0800816fb
65 N171d3126fa80410daa3d819531bc889c schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
66 schema:familyName Hori
67 schema:givenName Makoto
68 rdf:type schema:Person
69 N2a3fe65d8a4d4c8bb1956f2c1f1496a1 schema:affiliation https://www.grid.ac/institutes/grid.275033.0
70 schema:familyName Uchida
71 schema:givenName Masaki
72 rdf:type schema:Person
73 N3108cf7d575a4b9bbad781069994f7d6 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 N4eacbdea4fb44595bb0aeb6e684257b9 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
76 schema:familyName Yamamuro
77 schema:givenName Masumi
78 rdf:type schema:Person
79 N4f747b031bf8455f9907dc44b3e1f207 schema:name dimensions_id
80 schema:value pub.1112760101
81 rdf:type schema:PropertyValue
82 N52a7a42101084264a7675055fd2baaf0 schema:affiliation https://www.grid.ac/institutes/grid.255178.c
83 schema:familyName Osono
84 schema:givenName Takashi
85 rdf:type schema:Person
86 N5f64377d8bf6483592f5f19cac95af23 schema:name readcube_id
87 schema:value 2be9f62d4109df4e91e8371de0b12c73a8eb4e6a557a65e5862bd27f3bb2dc9e
88 rdf:type schema:PropertyValue
89 N6423a2bd04f34498abfedcb608a9097f rdf:first N4eacbdea4fb44595bb0aeb6e684257b9
90 rdf:rest rdf:nil
91 N659f1d37feaa4758867b60604aef182d rdf:first N82a1f046553542cf8230ce7231f6ca7f
92 rdf:rest Nef7fc0f675af4fb89b09fa3afc0e7e4d
93 N82a1f046553542cf8230ce7231f6ca7f schema:affiliation https://www.grid.ac/institutes/grid.27476.30
94 schema:familyName Mizuno
95 schema:givenName Akiko N.
96 rdf:type schema:Person
97 N84ccc2d54f9b45b984879efbef74b2ce schema:issueNumber 1
98 rdf:type schema:PublicationIssue
99 N87faf7e88a51416c8fffb5a68029f496 schema:name nlm_unique_id
100 schema:value 101563288
101 rdf:type schema:PropertyValue
102 N8fe5a14783ae4d8787608e095f3dd2c5 schema:affiliation https://www.grid.ac/institutes/grid.275033.0
103 schema:familyName Tanabe
104 schema:givenName Yukiko
105 rdf:type schema:Person
106 N92aa42d639f34d0d81584781234b8972 schema:name doi
107 schema:value 10.1038/s41598-019-41003-9
108 rdf:type schema:PropertyValue
109 Nc81b3c9c108444a399bb3cb6f54fbf1b rdf:first N8fe5a14783ae4d8787608e095f3dd2c5
110 rdf:rest N068706a109c347baa69b1a02c8e3d573
111 Ndb54927e7a8f4910a122d9b02e733faf schema:volumeNumber 9
112 rdf:type schema:PublicationVolume
113 Nded718075377449f8b2b2f1dd7388321 schema:name pubmed_id
114 schema:value 30874599
115 rdf:type schema:PropertyValue
116 Nef7fc0f675af4fb89b09fa3afc0e7e4d rdf:first N52a7a42101084264a7675055fd2baaf0
117 rdf:rest N16548639ec134f038da9408f50f54bc2
118 Nf94b8f4dd7924b78a77722e0800816fb rdf:first N008dc06df85b40ceab29a67039b63e4b
119 rdf:rest N6423a2bd04f34498abfedcb608a9097f
120 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
121 schema:name Biological Sciences
122 rdf:type schema:DefinedTerm
123 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
124 schema:name Ecology
125 rdf:type schema:DefinedTerm
126 sg:grant.5912169 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-41003-9
127 rdf:type schema:MonetaryGrant
128 sg:grant.6035177 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-41003-9
129 rdf:type schema:MonetaryGrant
130 sg:grant.6143976 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-41003-9
131 rdf:type schema:MonetaryGrant
132 sg:journal.1045337 schema:issn 2045-2322
133 schema:name Scientific Reports
134 rdf:type schema:Periodical
135 sg:pub.10.1007/0-387-33745-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019368444
136 https://doi.org/10.1007/0-387-33745-8
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/bf02348617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006996443
139 https://doi.org/10.1007/bf02348617
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s00300-007-0347-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052563433
142 https://doi.org/10.1007/s00300-007-0347-2
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s00300-009-0687-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011219005
145 https://doi.org/10.1007/s00300-009-0687-1
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/s003000050401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033650612
148 https://doi.org/10.1007/s003000050401
149 rdf:type schema:CreativeWork
150 sg:pub.10.1038/nature08179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036606604
151 https://doi.org/10.1038/nature08179
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1002/iroh.200811068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005248764
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1006/jtbi.1998.0688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049805492
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1007/bf02348617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006996443
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/0304-3800(88)90057-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048991391
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/0968-0004(92)90503-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008624383
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.apgeochem.2012.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007873491
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1029/ar059p0119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032822218
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1046/j.1529-8817.1998.340118.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003547299
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1046/j.1529-8817.1999.3530448.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033183944
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1046/j.1529-8817.2004.02127.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006373161
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1073/pnas.0806112105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049114456
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1080/09670269300650321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048921515
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1093/acprof:oso/9780199213887.001.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098740300
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1093/acprof:oso/9780199670499.001.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098730860
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1098/rstb.2002.1075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023081325
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1111/j.1529-8817.2005.00154.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012936403
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1111/j.1600-0587.2012.07348.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022525509
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1126/science.195.4275.260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062514687
188 rdf:type schema:CreativeWork
189 https://doi.org/10.2307/1310735 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069433057
190 rdf:type schema:CreativeWork
191 https://doi.org/10.4319/lo.1995.40.8.1381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038534706
192 rdf:type schema:CreativeWork
193 https://doi.org/10.4319/lo.2001.46.6.1331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036176797
194 rdf:type schema:CreativeWork
195 https://doi.org/10.4319/lo.2003.48.4.1408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010437262
196 rdf:type schema:CreativeWork
197 https://www.grid.ac/institutes/grid.255178.c schema:alternateName Doshisha University
198 schema:name Department of Environmental Systems Science, Faculty of Science and Engineering, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe-shi, 610-0394, Kyoto, Japan
199 rdf:type schema:Organization
200 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
201 schema:name Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8563, Chiba, Japan
202 rdf:type schema:Organization
203 https://www.grid.ac/institutes/grid.27476.30 schema:alternateName Nagoya University
204 schema:name Institute for Space-Earth Environmental Research, Nagoya University, 1 Furo-cho, Chikusa-ku, 464-8601, Nagoya, Aichi, Japan
205 rdf:type schema:Organization
206 https://www.grid.ac/institutes/grid.275033.0 schema:alternateName Graduate University For Advanced Studies
207 schema:name Department of Polar Science, SOKENDAI (The Graduate University for Advanced Studies), 10-3 Midori-cho, Tachikawa, 190-8518, Tokyo, Japan
208 National Institute of Polar Research, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, 190-8518, Tokyo, Japan
209 rdf:type schema:Organization
210 https://www.grid.ac/institutes/grid.466781.a schema:alternateName Geological Survey of Japan
211 schema:name Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8563, Chiba, Japan
212 Institute of Geology and Geoinformation, Geological Survey of Japan (GSJ), AIST, Central 7, Higashi 1-1-1, Tsukuba, 305-8567, Ibaraki, Japan
213 rdf:type schema:Organization
 




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


...