Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-02-28

AUTHORS

Jianjun Cao, Yifan Gong, Jan F. Adamowski, Ravinesh C. Deo, Guofeng Zhu, Xiaogang Dong, Xiaofang Zhang, Haibo Liu, Cunlin Xin

ABSTRACT

At an ecosystem level, stand age has a significant influence on carbon storage (CS). Dragon spruce (Picea asperata Mast.) situated along the upper reaches of the Bailongjiang River in northwest China were categorized into three age classes (29-32 years, Y1; 34-39 years, Y2; 40-46 years, Y3), and age-related differences in total carbon storage (TCS) of the forest ecosystem were investigated for the first time. Results showed that TCS for the Y1, Y2, and the Y3 age groups were 323.64, 240.66 and 174.60 Mg ha-1, respectively. The average TCS of the three age groups was 255.65 Mg C ha-1, with above-ground biomass, below-ground biomass, litter, and soil in the top 0.6 m contributing 15.0%, 3.7%, 12.1%, and 69.2%, respectively. CS in soil and TCS of the Y1 age group both significantly exceeded those of the Y3 age group (P < 0.05). Contrary to other recent findings, the present study supports the hypothesis that TCS is likely to decrease as stand age increases. This indicates that natural resource managers should rejuvenate forests by routinely thinning older stands, thereby not only achieving vegetation restoration, but also allowing these stands to create a long-term carbon sink for this important eco-region. More... »

PAGES

3005

References to SciGraph publications

  • 2016-03-09. Carbon stock density in planted versus natural Pinus massoniana forests in sub-tropical China in ANNALS OF FOREST SCIENCE
  • 2011-05-15. Carbon dynamics of North American boreal forest after stand replacing wildfire and clearcut logging in JOURNAL OF FOREST RESEARCH
  • 2015-04-20. Future productivity and carbon storage limited by terrestrial nutrient availability in NATURE GEOSCIENCE
  • 2014-01-24. Carbon storage in biomass, litter, and soil of different plantations in a semiarid temperate region of northwest China in ANNALS OF FOREST SCIENCE
  • 2012-12-04. Significance of Over-Mature and Decaying Trees for Carbon Stocks in a Central European Natural Spruce Forest in ECOSYSTEMS
  • 2016-03-01. Nitrogen and phosphorus availability at early stages of soil development in the Damma glacier forefield, Switzerland; implications for establishment of N2-fixing plants in PLANT AND SOIL
  • 2009-08-02. Landscape management for woodland caribou: the protection of forest blocks influences wolf-caribou co-occurrence in LANDSCAPE ECOLOGY
  • 2000-03. Influence of soil compaction on carbon and nitrogen mineralization of soil organic matter and crop residues in BIOLOGY AND FERTILITY OF SOILS
  • 2018-05-07. Adaptive measures: integrating adaptive forest management and forest landscape restoration in ANNALS OF FOREST SCIENCE
  • 2018-01-03. Multi-household grazing management pattern maintains better soil fertility in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2012-10-10. Concurrent changes in soil inorganic and organic carbon during the development of larch, Larix gmelinii, plantations and their effects on soil physicochemical properties in ENVIRONMENTAL EARTH SCIENCES
  • 2014-03-05. Decline in Net Ecosystem Productivity Following Canopy Transition to Late-Succession Forests in ECOSYSTEMS
  • 2014-03-02. Multivariate control of root biomass in a semi-arid grassland on the Loess Plateau, China in PLANT AND SOIL
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-019-39626-z

    DOI

    http://dx.doi.org/10.1038/s41598-019-39626-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112437257

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30816293


    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/2008/07", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Agricultural and Veterinary Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0705", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Forestry Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China", 
              "id": "http://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cao", 
            "givenName": "Jianjun", 
            "id": "sg:person.015136722725.65", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015136722725.65"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China", 
              "id": "http://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gong", 
            "givenName": "Yifan", 
            "id": "sg:person.07637161714.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07637161714.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Bioresource Engineering, Faculty of Agricultural and Environmental Science, McGill University, Sainte Anne de Bellevue, Qu\u00e9bec, H9X 3V9 QC Canada", 
              "id": "http://www.grid.ac/institutes/grid.14709.3b", 
              "name": [
                "Department of Bioresource Engineering, Faculty of Agricultural and Environmental Science, McGill University, Sainte Anne de Bellevue, Qu\u00e9bec, H9X 3V9 QC Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Adamowski", 
            "givenName": "Jan F.", 
            "id": "sg:person.01362153046.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362153046.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Agricultural, Computational and Environmental Sciences, Centre for Sustainable Agricultural Systems & Applied Climate Sciences, University of Southern Queensland, Springfield, Central Qld 4300 Australia", 
              "id": "http://www.grid.ac/institutes/grid.1048.d", 
              "name": [
                "School of Agricultural, Computational and Environmental Sciences, Centre for Sustainable Agricultural Systems & Applied Climate Sciences, University of Southern Queensland, Springfield, Central Qld 4300 Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Deo", 
            "givenName": "Ravinesh C.", 
            "id": "sg:person.01100607661.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100607661.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China", 
              "id": "http://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Guofeng", 
            "id": "sg:person.012377730426.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012377730426.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China", 
              "id": "http://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dong", 
            "givenName": "Xiaogang", 
            "id": "sg:person.011107070004.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011107070004.99"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China", 
              "id": "http://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Xiaofang", 
            "id": "sg:person.015453521166.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015453521166.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China", 
              "id": "http://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Haibo", 
            "id": "sg:person.013322354577.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013322354577.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China", 
              "id": "http://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xin", 
            "givenName": "Cunlin", 
            "id": "sg:person.012031422174.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012031422174.77"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s13595-016-0539-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012202369", 
              "https://doi.org/10.1007/s13595-016-0539-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-009-9389-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048016745", 
              "https://doi.org/10.1007/s10980-009-9389-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13595-013-0355-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012273791", 
              "https://doi.org/10.1007/s13595-013-0355-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13595-018-0736-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103856527", 
              "https://doi.org/10.1007/s13595-018-0736-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10021-014-9759-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008456176", 
              "https://doi.org/10.1007/s10021-014-9759-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-016-2821-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045264707", 
              "https://doi.org/10.1007/s11104-016-2821-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10021-012-9617-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046228195", 
              "https://doi.org/10.1007/s10021-012-9617-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s003740050034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040957466", 
              "https://doi.org/10.1007/s003740050034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10310-011-0264-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053021708", 
              "https://doi.org/10.1007/s10310-011-0264-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12665-012-1990-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049976860", 
              "https://doi.org/10.1007/s12665-012-1990-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-014-2067-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025845428", 
              "https://doi.org/10.1007/s11104-014-2067-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13593-017-0482-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100163055", 
              "https://doi.org/10.1007/s13593-017-0482-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ngeo2413", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045141147", 
              "https://doi.org/10.1038/ngeo2413"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-02-28", 
        "datePublishedReg": "2019-02-28", 
        "description": "At an ecosystem level, stand age has a significant influence on carbon storage (CS). Dragon spruce (Picea asperata Mast.) situated along the upper reaches of the Bailongjiang River in northwest China were categorized into three age classes (29-32 years, Y1; 34-39 years, Y2; 40-46 years, Y3), and age-related differences in total carbon storage (TCS) of the forest ecosystem were investigated for the first time. Results showed that TCS for the Y1, Y2, and the Y3 age groups were 323.64, 240.66 and 174.60 Mg ha-1, respectively. The average TCS of the three age groups was 255.65 Mg C ha-1, with above-ground biomass, below-ground biomass, litter, and soil in the top 0.6\u2009m contributing 15.0%, 3.7%, 12.1%, and 69.2%, respectively. CS in soil and TCS of the Y1 age group both significantly exceeded those of the Y3 age group (P\u2009<\u20090.05). Contrary to other recent findings, the present study supports the hypothesis that TCS is likely to decrease as stand age increases. This indicates that natural resource managers should rejuvenate forests by routinely thinning older stands, thereby not only achieving vegetation restoration, but also allowing these stands to create a long-term carbon sink for this important eco-region.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s41598-019-39626-z", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7207779", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8228721", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "keywords": [
          "total carbon storage", 
          "carbon storage", 
          "forest ecosystems", 
          "upper reaches", 
          "long-term carbon sink", 
          "natural resource managers", 
          "spruce forest ecosystem", 
          "above-ground biomass", 
          "vegetation restoration", 
          "Mg C", 
          "ecosystem level", 
          "carbon sink", 
          "ground biomass", 
          "Bailongjiang River", 
          "stand age", 
          "resource managers", 
          "River Basin", 
          "older stands", 
          "dragon spruce", 
          "Northwest China", 
          "age classes", 
          "ecosystems", 
          "soil", 
          "biomass", 
          "stands", 
          "reach", 
          "forest", 
          "River", 
          "litter", 
          "China", 
          "spruce", 
          "sink", 
          "restoration", 
          "basin", 
          "storage", 
          "Mg", 
          "managers", 
          "significant influence", 
          "hypothesis", 
          "first time", 
          "influence", 
          "present study", 
          "age increases", 
          "increase", 
          "effect", 
          "differences", 
          "levels", 
          "study", 
          "results", 
          "group", 
          "recent findings", 
          "class", 
          "time", 
          "findings", 
          "age", 
          "age groups", 
          "age-related differences", 
          "average TCS", 
          "stand age increases", 
          "dragon spruce forest ecosystems", 
          "Bailongjiang River basin"
        ], 
        "name": "Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China", 
        "pagination": "3005", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112437257"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-019-39626-z"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30816293"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-019-39626-z", 
          "https://app.dimensions.ai/details/publication/pub.1112437257"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-12-01T19:43", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_794.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s41598-019-39626-z"
      }
    ]
     

    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/s41598-019-39626-z'

    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/s41598-019-39626-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39626-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39626-z'


     

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

    240 TRIPLES      22 PREDICATES      100 URIs      79 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41598-019-39626-z schema:about anzsrc-for:07
    2 anzsrc-for:0705
    3 schema:author N8d38593ad8fc458dbb89c570b076687e
    4 schema:citation sg:pub.10.1007/s003740050034
    5 sg:pub.10.1007/s10021-012-9617-0
    6 sg:pub.10.1007/s10021-014-9759-3
    7 sg:pub.10.1007/s10310-011-0264-7
    8 sg:pub.10.1007/s10980-009-9389-x
    9 sg:pub.10.1007/s11104-014-2067-z
    10 sg:pub.10.1007/s11104-016-2821-5
    11 sg:pub.10.1007/s12665-012-1990-7
    12 sg:pub.10.1007/s13593-017-0482-2
    13 sg:pub.10.1007/s13595-013-0355-z
    14 sg:pub.10.1007/s13595-016-0539-4
    15 sg:pub.10.1007/s13595-018-0736-4
    16 sg:pub.10.1038/ngeo2413
    17 schema:datePublished 2019-02-28
    18 schema:datePublishedReg 2019-02-28
    19 schema:description At an ecosystem level, stand age has a significant influence on carbon storage (CS). Dragon spruce (Picea asperata Mast.) situated along the upper reaches of the Bailongjiang River in northwest China were categorized into three age classes (29-32 years, Y<sub>1</sub>; 34-39 years, Y<sub>2</sub>; 40-46 years, Y<sub>3</sub>), and age-related differences in total carbon storage (TCS) of the forest ecosystem were investigated for the first time. Results showed that TCS for the Y<sub>1</sub>, Y<sub>2</sub>, and the Y<sub>3</sub> age groups were 323.64, 240.66 and 174.60 Mg ha<sup>-1</sup>, respectively. The average TCS of the three age groups was 255.65 Mg C ha<sup>-1</sup>, with above-ground biomass, below-ground biomass, litter, and soil in the top 0.6 m contributing 15.0%, 3.7%, 12.1%, and 69.2%, respectively. CS in soil and TCS of the Y<sub>1</sub> age group both significantly exceeded those of the Y<sub>3</sub> age group (P &lt; 0.05). Contrary to other recent findings, the present study supports the hypothesis that TCS is likely to decrease as stand age increases. This indicates that natural resource managers should rejuvenate forests by routinely thinning older stands, thereby not only achieving vegetation restoration, but also allowing these stands to create a long-term carbon sink for this important eco-region.
    20 schema:genre article
    21 schema:inLanguage en
    22 schema:isAccessibleForFree true
    23 schema:isPartOf N2409cf788fc74564a0febb291dd8ff49
    24 Nc2e3f8eaa3364ff2b55881277869a5be
    25 sg:journal.1045337
    26 schema:keywords Bailongjiang River
    27 Bailongjiang River basin
    28 China
    29 Mg
    30 Mg C
    31 Northwest China
    32 River
    33 River Basin
    34 above-ground biomass
    35 age
    36 age classes
    37 age groups
    38 age increases
    39 age-related differences
    40 average TCS
    41 basin
    42 biomass
    43 carbon sink
    44 carbon storage
    45 class
    46 differences
    47 dragon spruce
    48 dragon spruce forest ecosystems
    49 ecosystem level
    50 ecosystems
    51 effect
    52 findings
    53 first time
    54 forest
    55 forest ecosystems
    56 ground biomass
    57 group
    58 hypothesis
    59 increase
    60 influence
    61 levels
    62 litter
    63 long-term carbon sink
    64 managers
    65 natural resource managers
    66 older stands
    67 present study
    68 reach
    69 recent findings
    70 resource managers
    71 restoration
    72 results
    73 significant influence
    74 sink
    75 soil
    76 spruce
    77 spruce forest ecosystem
    78 stand age
    79 stand age increases
    80 stands
    81 storage
    82 study
    83 time
    84 total carbon storage
    85 upper reaches
    86 vegetation restoration
    87 schema:name Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China
    88 schema:pagination 3005
    89 schema:productId N7248c10cdb7c410cbb90686d71dd0e02
    90 Nc0b43b505508408997e8ac44217579d2
    91 Nd31acdd1a8e944bc8acf1586ebe57d08
    92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112437257
    93 https://doi.org/10.1038/s41598-019-39626-z
    94 schema:sdDatePublished 2021-12-01T19:43
    95 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    96 schema:sdPublisher Nab5792d0565b44698643a8d85eb6379e
    97 schema:url https://doi.org/10.1038/s41598-019-39626-z
    98 sgo:license sg:explorer/license/
    99 sgo:sdDataset articles
    100 rdf:type schema:ScholarlyArticle
    101 N2409cf788fc74564a0febb291dd8ff49 schema:issueNumber 1
    102 rdf:type schema:PublicationIssue
    103 N4f6d26de440141ccb42730c048104c99 rdf:first sg:person.01362153046.73
    104 rdf:rest N6bbe97d1ea0e467abbc7a3c52aea078e
    105 N585fc76271de4de2a7abc7e8a29b2499 rdf:first sg:person.012031422174.77
    106 rdf:rest rdf:nil
    107 N6bbe97d1ea0e467abbc7a3c52aea078e rdf:first sg:person.01100607661.17
    108 rdf:rest Nc66e31ada1cd42cc8c95fc6c02bfb0c9
    109 N7248c10cdb7c410cbb90686d71dd0e02 schema:name doi
    110 schema:value 10.1038/s41598-019-39626-z
    111 rdf:type schema:PropertyValue
    112 N8d38593ad8fc458dbb89c570b076687e rdf:first sg:person.015136722725.65
    113 rdf:rest Nd1538ec91bc2442bb9a778bfc3effa27
    114 N95558def75de4b6a93a6cc87c1ec0310 rdf:first sg:person.013322354577.37
    115 rdf:rest N585fc76271de4de2a7abc7e8a29b2499
    116 N96bb0cc577214d82b07435ff5ff8f079 rdf:first sg:person.015453521166.95
    117 rdf:rest N95558def75de4b6a93a6cc87c1ec0310
    118 Nab5792d0565b44698643a8d85eb6379e schema:name Springer Nature - SN SciGraph project
    119 rdf:type schema:Organization
    120 Nb5f8284c622e49cd9edd7e5c440e2d13 rdf:first sg:person.011107070004.99
    121 rdf:rest N96bb0cc577214d82b07435ff5ff8f079
    122 Nc0b43b505508408997e8ac44217579d2 schema:name dimensions_id
    123 schema:value pub.1112437257
    124 rdf:type schema:PropertyValue
    125 Nc2e3f8eaa3364ff2b55881277869a5be schema:volumeNumber 9
    126 rdf:type schema:PublicationVolume
    127 Nc66e31ada1cd42cc8c95fc6c02bfb0c9 rdf:first sg:person.012377730426.41
    128 rdf:rest Nb5f8284c622e49cd9edd7e5c440e2d13
    129 Nd1538ec91bc2442bb9a778bfc3effa27 rdf:first sg:person.07637161714.01
    130 rdf:rest N4f6d26de440141ccb42730c048104c99
    131 Nd31acdd1a8e944bc8acf1586ebe57d08 schema:name pubmed_id
    132 schema:value 30816293
    133 rdf:type schema:PropertyValue
    134 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    135 schema:name Agricultural and Veterinary Sciences
    136 rdf:type schema:DefinedTerm
    137 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
    138 schema:name Forestry Sciences
    139 rdf:type schema:DefinedTerm
    140 sg:grant.7207779 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-39626-z
    141 rdf:type schema:MonetaryGrant
    142 sg:grant.8228721 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-39626-z
    143 rdf:type schema:MonetaryGrant
    144 sg:journal.1045337 schema:issn 2045-2322
    145 schema:name Scientific Reports
    146 schema:publisher Springer Nature
    147 rdf:type schema:Periodical
    148 sg:person.01100607661.17 schema:affiliation grid-institutes:grid.1048.d
    149 schema:familyName Deo
    150 schema:givenName Ravinesh C.
    151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100607661.17
    152 rdf:type schema:Person
    153 sg:person.011107070004.99 schema:affiliation grid-institutes:grid.412260.3
    154 schema:familyName Dong
    155 schema:givenName Xiaogang
    156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011107070004.99
    157 rdf:type schema:Person
    158 sg:person.012031422174.77 schema:affiliation grid-institutes:grid.412260.3
    159 schema:familyName Xin
    160 schema:givenName Cunlin
    161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012031422174.77
    162 rdf:type schema:Person
    163 sg:person.012377730426.41 schema:affiliation grid-institutes:grid.412260.3
    164 schema:familyName Zhu
    165 schema:givenName Guofeng
    166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012377730426.41
    167 rdf:type schema:Person
    168 sg:person.013322354577.37 schema:affiliation grid-institutes:grid.412260.3
    169 schema:familyName Liu
    170 schema:givenName Haibo
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013322354577.37
    172 rdf:type schema:Person
    173 sg:person.01362153046.73 schema:affiliation grid-institutes:grid.14709.3b
    174 schema:familyName Adamowski
    175 schema:givenName Jan F.
    176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362153046.73
    177 rdf:type schema:Person
    178 sg:person.015136722725.65 schema:affiliation grid-institutes:grid.412260.3
    179 schema:familyName Cao
    180 schema:givenName Jianjun
    181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015136722725.65
    182 rdf:type schema:Person
    183 sg:person.015453521166.95 schema:affiliation grid-institutes:grid.412260.3
    184 schema:familyName Zhang
    185 schema:givenName Xiaofang
    186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015453521166.95
    187 rdf:type schema:Person
    188 sg:person.07637161714.01 schema:affiliation grid-institutes:grid.412260.3
    189 schema:familyName Gong
    190 schema:givenName Yifan
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07637161714.01
    192 rdf:type schema:Person
    193 sg:pub.10.1007/s003740050034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040957466
    194 https://doi.org/10.1007/s003740050034
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1007/s10021-012-9617-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046228195
    197 https://doi.org/10.1007/s10021-012-9617-0
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/s10021-014-9759-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008456176
    200 https://doi.org/10.1007/s10021-014-9759-3
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1007/s10310-011-0264-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053021708
    203 https://doi.org/10.1007/s10310-011-0264-7
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/s10980-009-9389-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048016745
    206 https://doi.org/10.1007/s10980-009-9389-x
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1007/s11104-014-2067-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1025845428
    209 https://doi.org/10.1007/s11104-014-2067-z
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1007/s11104-016-2821-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045264707
    212 https://doi.org/10.1007/s11104-016-2821-5
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1007/s12665-012-1990-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049976860
    215 https://doi.org/10.1007/s12665-012-1990-7
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/s13593-017-0482-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100163055
    218 https://doi.org/10.1007/s13593-017-0482-2
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/s13595-013-0355-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1012273791
    221 https://doi.org/10.1007/s13595-013-0355-z
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s13595-016-0539-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012202369
    224 https://doi.org/10.1007/s13595-016-0539-4
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/s13595-018-0736-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103856527
    227 https://doi.org/10.1007/s13595-018-0736-4
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1038/ngeo2413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045141147
    230 https://doi.org/10.1038/ngeo2413
    231 rdf:type schema:CreativeWork
    232 grid-institutes:grid.1048.d schema:alternateName School of Agricultural, Computational and Environmental Sciences, Centre for Sustainable Agricultural Systems & Applied Climate Sciences, University of Southern Queensland, Springfield, Central Qld 4300 Australia
    233 schema:name School of Agricultural, Computational and Environmental Sciences, Centre for Sustainable Agricultural Systems & Applied Climate Sciences, University of Southern Queensland, Springfield, Central Qld 4300 Australia
    234 rdf:type schema:Organization
    235 grid-institutes:grid.14709.3b schema:alternateName Department of Bioresource Engineering, Faculty of Agricultural and Environmental Science, McGill University, Sainte Anne de Bellevue, Québec, H9X 3V9 QC Canada
    236 schema:name Department of Bioresource Engineering, Faculty of Agricultural and Environmental Science, McGill University, Sainte Anne de Bellevue, Québec, H9X 3V9 QC Canada
    237 rdf:type schema:Organization
    238 grid-institutes:grid.412260.3 schema:alternateName College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China
    239 schema:name College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070 China
    240 rdf:type schema:Organization
     




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


    ...