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

2019-12

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

  • 2013-07. 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
  • 2011-06. Carbon dynamics of North American boreal forest after stand replacing wildfire and clearcut logging in JOURNAL OF FOREST RESEARCH
  • 2000-03. Influence of soil compaction on carbon and nitrogen mineralization of soil organic matter and crop residues in BIOLOGY AND FERTILITY OF SOILS
  • 2012-09. Pattern of carbon allocation across three different stages of stand development of a Chinese pine (Pinus tabulaeformis) forest in ECOLOGICAL RESEARCH
  • 2013-03. Significance of Over-Mature and Decaying Trees for Carbon Stocks in a Central European Natural Spruce Forest in ECOSYSTEMS
  • 2016-07. 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
  • 2015-06. Future productivity and carbon storage limited by terrestrial nutrient availability in NATURE GEOSCIENCE
  • 2009-12. Landscape management for woodland caribou: the protection of forest blocks influences wolf-caribou co-occurrence in LANDSCAPE ECOLOGY
  • 2014-06. Multivariate control of root biomass in a semi-arid grassland on the Loess Plateau, China in PLANT AND SOIL
  • 2018-06. Adaptive measures: integrating adaptive forest management and forest landscape restoration in ANNALS OF FOREST SCIENCE
  • 2018-02. Multi-household grazing management pattern maintains better soil fertility in AGRONOMY FOR SUSTAINABLE DEVELOPMENT
  • 2016-06. Carbon stock density in planted versus natural Pinus massoniana forests in sub-tropical China in ANNALS OF FOREST SCIENCE
  • 2014-08. Decline in Net Ecosystem Productivity Following Canopy Transition to Late-Succession Forests in ECOSYSTEMS
  • 2014-06. Carbon storage in biomass, litter, and soil of different plantations in a semiarid temperate region of northwest China in ANNALS OF FOREST SCIENCE
  • 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/2008/0705", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Forestry Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Northwest Normal University", 
              "id": "https://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cao", 
            "givenName": "Jianjun", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwest Normal University", 
              "id": "https://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gong", 
            "givenName": "Yifan", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "McGill University", 
              "id": "https://www.grid.ac/institutes/grid.14709.3b", 
              "name": [
                "Department of Bioresource Engineering, Faculty of Agricultural and Environmental Science, McGill University, Sainte Anne de Bellevue, H9X 3V9, Qu\u00e9bec, QC, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Adamowski", 
            "givenName": "Jan F.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Southern Queensland", 
              "id": "https://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, 4300, Springfield, Central Qld, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Deo", 
            "givenName": "Ravinesh C.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwest Normal University", 
              "id": "https://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Guofeng", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwest Normal University", 
              "id": "https://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dong", 
            "givenName": "Xiaogang", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwest Normal University", 
              "id": "https://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Xiaofang", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwest Normal University", 
              "id": "https://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Haibo", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwest Normal University", 
              "id": "https://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Geography and Environmental Science, Northwest Normal University, 730070, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xin", 
            "givenName": "Cunlin", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.foreco.2015.02.034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001270738"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1890/11-1454.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004133937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gr.2014.07.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005766142"
            ], 
            "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": "https://doi.org/10.1371/journal.pone.0082208", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011485573"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "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/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": "https://doi.org/10.1016/j.geoderma.2016.09.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012380694"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.foreco.2016.07.033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015649727"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.apsoil.2008.10.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016620042"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ldr.2635", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025004624"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jhydrol.2017.01.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025106934"
            ], 
            "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": "https://doi.org/10.1016/j.jhydrol.2014.09.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025980462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jhydrol.2016.04.030", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028805456"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.catena.2016.01.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030576567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scitotenv.2016.09.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033101559"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2006.01145.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033741042"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.agrformet.2015.03.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035120234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.foreco.2013.01.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035507918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ldr.2642", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037316031"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1034/j.1600-0706.2000.910109.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039995573"
            ], 
            "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": "https://doi.org/10.1016/j.catena.2014.03.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041107791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.catena.2016.07.025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041867329"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/clen.201300971", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042133119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2389.2006.00809.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043854437"
            ], 
            "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"
          }, 
          {
            "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/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/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": "https://doi.org/10.1016/j.foreco.2013.02.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045876626"
            ], 
            "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/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/s11284-012-0965-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046544336", 
              "https://doi.org/10.1007/s11284-012-0965-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.catena.2016.11.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047842109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f6061966", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047868583"
            ], 
            "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/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": "https://doi.org/10.1016/j.jaridenv.2009.04.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048498422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jaridenv.2015.06.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049787267"
            ], 
            "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": "https://doi.org/10.5194/bg-11-2401-2014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050128188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2008.01792.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050168046"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1641/0006-3568(2000)050[0313:tclaam]2.3.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052864686"
            ], 
            "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": "https://doi.org/10.17521/cjpe.2003.0111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068349917"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3724/sp.j.1145.2009.00756", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071343887"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3724/sp.j.1258.2014.00057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071351881"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5846/stxb201111211774", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1073270605"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecoleng.2017.01.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083870577"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jenvman.2017.03.056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084087616"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f8040113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084777853"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.catena.2017.08.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091238475"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f8090330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091495343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gloenvcha.2017.09.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091893596"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01904167.2017.1381732", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091943191"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.foreco.2017.11.036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092916511"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/sum.12387", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099720066"
            ], 
            "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": "https://doi.org/10.1016/j.foreco.2018.03.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101514056"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/gcb.14144", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101702605"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.landusepol.2018.04.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103243640"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/eap.1726", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103265935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4067/s0718-95162015005000030", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103413316"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1700291115", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103414568"
            ], 
            "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": "https://doi.org/10.1016/j.landusepol.2018.07.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105431188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/w10121710", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110123763"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "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": "research_article", 
        "id": "sg:pub.10.1038/s41598-019-39626-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7207779", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "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": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "761e83421c97c297cfd1a5ff78384f1125539faeded60c736c6baec1071d30f3"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30816293"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-019-39626-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112437257"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-019-39626-z", 
          "https://app.dimensions.ai/details/publication/pub.1112437257"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:01", 
        "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/v90/0000000352_0000000352/records_60342_00000004.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/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.

    332 TRIPLES      21 PREDICATES      94 URIs      21 LITERALS      9 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 N7fdb809e3b494497bc70a723282090ee
    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/s11284-012-0965-1
    12 sg:pub.10.1007/s12665-012-1990-7
    13 sg:pub.10.1007/s13593-017-0482-2
    14 sg:pub.10.1007/s13595-013-0355-z
    15 sg:pub.10.1007/s13595-016-0539-4
    16 sg:pub.10.1007/s13595-018-0736-4
    17 sg:pub.10.1038/ngeo2413
    18 https://doi.org/10.1002/clen.201300971
    19 https://doi.org/10.1002/eap.1726
    20 https://doi.org/10.1002/ldr.2635
    21 https://doi.org/10.1002/ldr.2642
    22 https://doi.org/10.1016/j.agrformet.2015.03.009
    23 https://doi.org/10.1016/j.apsoil.2008.10.003
    24 https://doi.org/10.1016/j.catena.2014.03.006
    25 https://doi.org/10.1016/j.catena.2016.01.028
    26 https://doi.org/10.1016/j.catena.2016.07.025
    27 https://doi.org/10.1016/j.catena.2016.11.027
    28 https://doi.org/10.1016/j.catena.2017.08.013
    29 https://doi.org/10.1016/j.ecoleng.2017.01.028
    30 https://doi.org/10.1016/j.foreco.2013.01.020
    31 https://doi.org/10.1016/j.foreco.2013.02.013
    32 https://doi.org/10.1016/j.foreco.2015.02.034
    33 https://doi.org/10.1016/j.foreco.2016.07.033
    34 https://doi.org/10.1016/j.foreco.2017.11.036
    35 https://doi.org/10.1016/j.foreco.2018.03.005
    36 https://doi.org/10.1016/j.geoderma.2016.09.026
    37 https://doi.org/10.1016/j.gloenvcha.2017.09.006
    38 https://doi.org/10.1016/j.gr.2014.07.002
    39 https://doi.org/10.1016/j.jaridenv.2009.04.011
    40 https://doi.org/10.1016/j.jaridenv.2015.06.004
    41 https://doi.org/10.1016/j.jenvman.2017.03.056
    42 https://doi.org/10.1016/j.jhydrol.2014.09.012
    43 https://doi.org/10.1016/j.jhydrol.2016.04.030
    44 https://doi.org/10.1016/j.jhydrol.2017.01.011
    45 https://doi.org/10.1016/j.landusepol.2018.04.006
    46 https://doi.org/10.1016/j.landusepol.2018.07.002
    47 https://doi.org/10.1016/j.scitotenv.2016.09.028
    48 https://doi.org/10.1034/j.1600-0706.2000.910109.x
    49 https://doi.org/10.1073/pnas.1700291115
    50 https://doi.org/10.1080/01904167.2017.1381732
    51 https://doi.org/10.1111/gcb.14144
    52 https://doi.org/10.1111/j.1365-2389.2006.00809.x
    53 https://doi.org/10.1111/j.1365-2486.2006.01145.x
    54 https://doi.org/10.1111/j.1365-2486.2008.01792.x
    55 https://doi.org/10.1111/sum.12387
    56 https://doi.org/10.1371/journal.pone.0082208
    57 https://doi.org/10.1641/0006-3568(2000)050[0313:tclaam]2.3.co;2
    58 https://doi.org/10.17521/cjpe.2003.0111
    59 https://doi.org/10.1890/11-1454.1
    60 https://doi.org/10.3390/f6061966
    61 https://doi.org/10.3390/f8040113
    62 https://doi.org/10.3390/f8090330
    63 https://doi.org/10.3390/w10121710
    64 https://doi.org/10.3724/sp.j.1145.2009.00756
    65 https://doi.org/10.3724/sp.j.1258.2014.00057
    66 https://doi.org/10.4067/s0718-95162015005000030
    67 https://doi.org/10.5194/bg-11-2401-2014
    68 https://doi.org/10.5846/stxb201111211774
    69 schema:datePublished 2019-12
    70 schema:datePublishedReg 2019-12-01
    71 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.
    72 schema:genre research_article
    73 schema:inLanguage en
    74 schema:isAccessibleForFree true
    75 schema:isPartOf N4cb64e2458944a0a8cd81ebe405157fc
    76 Ned41a646521c4f1ba47b772e25fa34ae
    77 sg:journal.1045337
    78 schema:name Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China
    79 schema:pagination 3005
    80 schema:productId N2f78c9b56d934028a2233878f671db9b
    81 N3750e40314354c62bfcd03d6f0ec2bac
    82 N4693937e5f6c4ed6adbf0c3293003a50
    83 N709cf5a81f58421199b36f65b4f4152f
    84 Ncfe7cdf1969d4245ac44101e1b48c42c
    85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112437257
    86 https://doi.org/10.1038/s41598-019-39626-z
    87 schema:sdDatePublished 2019-04-11T11:01
    88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    89 schema:sdPublisher Nbf717a65835c4027a8857bca5002a3fe
    90 schema:url https://www.nature.com/articles/s41598-019-39626-z
    91 sgo:license sg:explorer/license/
    92 sgo:sdDataset articles
    93 rdf:type schema:ScholarlyArticle
    94 N0bc5ca7391a84f7a9e0fe4300eebc644 schema:affiliation https://www.grid.ac/institutes/grid.412260.3
    95 schema:familyName Zhang
    96 schema:givenName Xiaofang
    97 rdf:type schema:Person
    98 N2f78c9b56d934028a2233878f671db9b schema:name readcube_id
    99 schema:value 761e83421c97c297cfd1a5ff78384f1125539faeded60c736c6baec1071d30f3
    100 rdf:type schema:PropertyValue
    101 N3025fd8903d848528d20b88eb13b87ec rdf:first N996a4c2e00114ff5b336ea6ef8b5f3d6
    102 rdf:rest N988048ebdc45432b92889107810a1cfb
    103 N3750e40314354c62bfcd03d6f0ec2bac schema:name nlm_unique_id
    104 schema:value 101563288
    105 rdf:type schema:PropertyValue
    106 N38f4247435d64fb88735e91b10565b3f schema:affiliation https://www.grid.ac/institutes/grid.412260.3
    107 schema:familyName Gong
    108 schema:givenName Yifan
    109 rdf:type schema:Person
    110 N4693937e5f6c4ed6adbf0c3293003a50 schema:name doi
    111 schema:value 10.1038/s41598-019-39626-z
    112 rdf:type schema:PropertyValue
    113 N4a85bdf9103e4f24ab2c74a104b16397 schema:affiliation https://www.grid.ac/institutes/grid.412260.3
    114 schema:familyName Zhu
    115 schema:givenName Guofeng
    116 rdf:type schema:Person
    117 N4cb64e2458944a0a8cd81ebe405157fc schema:issueNumber 1
    118 rdf:type schema:PublicationIssue
    119 N64070bb528eb4a44b6d7ead34f4b6cca rdf:first Nda71db97278248e495c6e0f37d92681f
    120 rdf:rest rdf:nil
    121 N6bb7c270c6ef448c9cab3199e76c1532 schema:affiliation https://www.grid.ac/institutes/grid.14709.3b
    122 schema:familyName Adamowski
    123 schema:givenName Jan F.
    124 rdf:type schema:Person
    125 N709cf5a81f58421199b36f65b4f4152f schema:name dimensions_id
    126 schema:value pub.1112437257
    127 rdf:type schema:PropertyValue
    128 N711d303055db4a598dec68e01f1dcd7a schema:affiliation https://www.grid.ac/institutes/grid.412260.3
    129 schema:familyName Cao
    130 schema:givenName Jianjun
    131 rdf:type schema:Person
    132 N7ed5d62b9b714d24ae0f3d786e4627ef rdf:first Nc741a715d5e2421f98212d2bfcd27594
    133 rdf:rest N64070bb528eb4a44b6d7ead34f4b6cca
    134 N7fdb809e3b494497bc70a723282090ee rdf:first N711d303055db4a598dec68e01f1dcd7a
    135 rdf:rest Nf1d7ffb242eb49a0beec2980835101cd
    136 N96aa70edbb8f413b83ee9c41f1c59fc0 rdf:first Nd6fadd02d0f44b07a13a503ecdbd34dc
    137 rdf:rest Nab68fd3d95234c03b27e83c4f1e60c77
    138 N988048ebdc45432b92889107810a1cfb rdf:first N4a85bdf9103e4f24ab2c74a104b16397
    139 rdf:rest N96aa70edbb8f413b83ee9c41f1c59fc0
    140 N996a4c2e00114ff5b336ea6ef8b5f3d6 schema:affiliation https://www.grid.ac/institutes/grid.1048.d
    141 schema:familyName Deo
    142 schema:givenName Ravinesh C.
    143 rdf:type schema:Person
    144 Nab68fd3d95234c03b27e83c4f1e60c77 rdf:first N0bc5ca7391a84f7a9e0fe4300eebc644
    145 rdf:rest N7ed5d62b9b714d24ae0f3d786e4627ef
    146 Nbf717a65835c4027a8857bca5002a3fe schema:name Springer Nature - SN SciGraph project
    147 rdf:type schema:Organization
    148 Nc741a715d5e2421f98212d2bfcd27594 schema:affiliation https://www.grid.ac/institutes/grid.412260.3
    149 schema:familyName Liu
    150 schema:givenName Haibo
    151 rdf:type schema:Person
    152 Ncfe7cdf1969d4245ac44101e1b48c42c schema:name pubmed_id
    153 schema:value 30816293
    154 rdf:type schema:PropertyValue
    155 Nd6fadd02d0f44b07a13a503ecdbd34dc schema:affiliation https://www.grid.ac/institutes/grid.412260.3
    156 schema:familyName Dong
    157 schema:givenName Xiaogang
    158 rdf:type schema:Person
    159 Nda71db97278248e495c6e0f37d92681f schema:affiliation https://www.grid.ac/institutes/grid.412260.3
    160 schema:familyName Xin
    161 schema:givenName Cunlin
    162 rdf:type schema:Person
    163 Ndc4e0a5c3e31493b9fa2d22146390a6a rdf:first N6bb7c270c6ef448c9cab3199e76c1532
    164 rdf:rest N3025fd8903d848528d20b88eb13b87ec
    165 Ned41a646521c4f1ba47b772e25fa34ae schema:volumeNumber 9
    166 rdf:type schema:PublicationVolume
    167 Nf1d7ffb242eb49a0beec2980835101cd rdf:first N38f4247435d64fb88735e91b10565b3f
    168 rdf:rest Ndc4e0a5c3e31493b9fa2d22146390a6a
    169 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    170 schema:name Agricultural and Veterinary Sciences
    171 rdf:type schema:DefinedTerm
    172 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
    173 schema:name Forestry Sciences
    174 rdf:type schema:DefinedTerm
    175 sg:grant.7207779 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-39626-z
    176 rdf:type schema:MonetaryGrant
    177 sg:journal.1045337 schema:issn 2045-2322
    178 schema:name Scientific Reports
    179 rdf:type schema:Periodical
    180 sg:pub.10.1007/s003740050034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040957466
    181 https://doi.org/10.1007/s003740050034
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1007/s10021-012-9617-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046228195
    184 https://doi.org/10.1007/s10021-012-9617-0
    185 rdf:type schema:CreativeWork
    186 sg:pub.10.1007/s10021-014-9759-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008456176
    187 https://doi.org/10.1007/s10021-014-9759-3
    188 rdf:type schema:CreativeWork
    189 sg:pub.10.1007/s10310-011-0264-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053021708
    190 https://doi.org/10.1007/s10310-011-0264-7
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1007/s10980-009-9389-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048016745
    193 https://doi.org/10.1007/s10980-009-9389-x
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s11104-014-2067-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1025845428
    196 https://doi.org/10.1007/s11104-014-2067-z
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s11104-016-2821-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045264707
    199 https://doi.org/10.1007/s11104-016-2821-5
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s11284-012-0965-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046544336
    202 https://doi.org/10.1007/s11284-012-0965-1
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s12665-012-1990-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049976860
    205 https://doi.org/10.1007/s12665-012-1990-7
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1007/s13593-017-0482-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100163055
    208 https://doi.org/10.1007/s13593-017-0482-2
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1007/s13595-013-0355-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1012273791
    211 https://doi.org/10.1007/s13595-013-0355-z
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1007/s13595-016-0539-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012202369
    214 https://doi.org/10.1007/s13595-016-0539-4
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1007/s13595-018-0736-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103856527
    217 https://doi.org/10.1007/s13595-018-0736-4
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1038/ngeo2413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045141147
    220 https://doi.org/10.1038/ngeo2413
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1002/clen.201300971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042133119
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1002/eap.1726 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103265935
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1002/ldr.2635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025004624
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1002/ldr.2642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037316031
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1016/j.agrformet.2015.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035120234
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1016/j.apsoil.2008.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016620042
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1016/j.catena.2014.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041107791
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1016/j.catena.2016.01.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030576567
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1016/j.catena.2016.07.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041867329
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1016/j.catena.2016.11.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047842109
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1016/j.catena.2017.08.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091238475
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1016/j.ecoleng.2017.01.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083870577
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1016/j.foreco.2013.01.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035507918
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1016/j.foreco.2013.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045876626
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1016/j.foreco.2015.02.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001270738
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1016/j.foreco.2016.07.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015649727
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1016/j.foreco.2017.11.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092916511
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1016/j.foreco.2018.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101514056
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1016/j.geoderma.2016.09.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012380694
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1016/j.gloenvcha.2017.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091893596
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1016/j.gr.2014.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005766142
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1016/j.jaridenv.2009.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048498422
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1016/j.jaridenv.2015.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049787267
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1016/j.jenvman.2017.03.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084087616
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1016/j.jhydrol.2014.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025980462
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1016/j.jhydrol.2016.04.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028805456
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1016/j.jhydrol.2017.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025106934
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1016/j.landusepol.2018.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103243640
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1016/j.landusepol.2018.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105431188
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1016/j.scitotenv.2016.09.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033101559
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1034/j.1600-0706.2000.910109.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039995573
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1073/pnas.1700291115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103414568
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1080/01904167.2017.1381732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091943191
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1111/gcb.14144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101702605
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1111/j.1365-2389.2006.00809.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043854437
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1111/j.1365-2486.2006.01145.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033741042
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1111/j.1365-2486.2008.01792.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050168046
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1111/sum.12387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099720066
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1371/journal.pone.0082208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011485573
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1641/0006-3568(2000)050[0313:tclaam]2.3.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052864686
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.17521/cjpe.2003.0111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068349917
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1890/11-1454.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004133937
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.3390/f6061966 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047868583
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.3390/f8040113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084777853
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.3390/f8090330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091495343
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.3390/w10121710 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110123763
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.3724/sp.j.1145.2009.00756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071343887
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.3724/sp.j.1258.2014.00057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071351881
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.4067/s0718-95162015005000030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103413316
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.5194/bg-11-2401-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050128188
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.5846/stxb201111211774 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073270605
    323 rdf:type schema:CreativeWork
    324 https://www.grid.ac/institutes/grid.1048.d schema:alternateName University of Southern Queensland
    325 schema:name School of Agricultural, Computational and Environmental Sciences, Centre for Sustainable Agricultural Systems & Applied Climate Sciences, University of Southern Queensland, 4300, Springfield, Central Qld, Australia
    326 rdf:type schema:Organization
    327 https://www.grid.ac/institutes/grid.14709.3b schema:alternateName McGill University
    328 schema:name Department of Bioresource Engineering, Faculty of Agricultural and Environmental Science, McGill University, Sainte Anne de Bellevue, H9X 3V9, Québec, QC, Canada
    329 rdf:type schema:Organization
    330 https://www.grid.ac/institutes/grid.412260.3 schema:alternateName Northwest Normal University
    331 schema:name College of Geography and Environmental Science, Northwest Normal University, 730070, Lanzhou, China
    332 rdf:type schema:Organization
     




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


    ...