Large influence of soil moisture on long-term terrestrial carbon uptake View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Julia K. Green, Sonia I. Seneviratne, Alexis M. Berg, Kirsten L. Findell, Stefan Hagemann, David M. Lawrence, Pierre Gentine

ABSTRACT

Although the terrestrial biosphere absorbs about 25 per cent of anthropogenic carbon dioxide (CO2) emissions, the rate of land carbon uptake remains highly uncertain, leading to uncertainties in climate projections1,2. Understanding the factors that limit or drive land carbon storage is therefore important for improving climate predictions. One potential limiting factor for land carbon uptake is soil moisture, which can reduce gross primary production through ecosystem water stress3,4, cause vegetation mortality5 and further exacerbate climate extremes due to land-atmosphere feedbacks6. Previous work has explored the impact of soil-moisture availability on past carbon-flux variability3,7,8. However, the influence of soil-moisture variability and trends on the long-term carbon sink and the mechanisms responsible for associated carbon losses remain uncertain. Here we use the data output from four Earth system models9 from a series of experiments to analyse the responses of terrestrial net biome productivity to soil-moisture changes, and find that soil-moisture variability and trends induce large CO2 fluxes (about two to three gigatons of carbon per year; comparable with the land carbon sink itself1) throughout the twenty-first century. Subseasonal and interannual soil-moisture variability generate CO2 as a result of the nonlinear response of photosynthesis and net ecosystem exchange to soil-water availability and of the increased temperature and vapour pressure deficit caused by land-atmosphere interactions. Soil-moisture variability reduces the present land carbon sink, and its increase and drying trends in several regions are expected to reduce it further. Our results emphasize that the capacity of continents to act as a future carbon sink critically depends on the nonlinear response of carbon fluxes to soil moisture and on land-atmosphere interactions. This suggests that the increasing trend in carbon uptake rate may not be sustained past the middle of the century and could result in accelerated atmospheric CO2 growth. More... »

PAGES

476-479

References to SciGraph publications

  • 2016-09. Land–atmosphere feedbacks amplify aridity increase over land under global warming in NATURE CLIMATE CHANGE
  • 2012-08. Reduction in carbon uptake during turn of the century drought in western North America in NATURE GEOSCIENCE
  • 2013-05. Combined influence of atmospheric physics and soil hydrology on the simulated meteorology at the SIRTA atmospheric observatory in CLIMATE DYNAMICS
  • 2017-12. Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness in SCIENTIFIC REPORTS
  • 2014-05. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle in NATURE
  • 2017-06. Regionally strong feedbacks between the atmosphere and terrestrial biosphere in NATURE GEOSCIENCE
  • 2015-06. Future productivity and carbon storage limited by terrestrial nutrient availability in NATURE GEOSCIENCE
  • 2017-08. Global patterns of drought recovery in NATURE
  • 2013-05. Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model in CLIMATE DYNAMICS
  • 2018-08. Sensitivity of atmospheric CO2 growth rate to observed changes in terrestrial water storage in NATURE
  • 2013-08. Climate extremes and the carbon cycle in NATURE
  • 2014-12. Plant growth enhancement by elevated CO2 eliminated by joint water and nitrogen limitation in NATURE GEOSCIENCE
  • 2007-11. Will the tropical land biosphere dominate the climate–carbon cycle feedback during the twenty-first century? in CLIMATE DYNAMICS
  • 2017-04. Sensitivity of grassland productivity to aridity controlled by stomatal and xylem regulation in NATURE GEOSCIENCE
  • 2013-05. Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 in CLIMATE DYNAMICS
  • 2006-09. Land–atmosphere coupling and climate change in Europe in NATURE
  • 2015-07. Darcy's law predicts widespread forest mortality under climate warming in NATURE CLIMATE CHANGE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41586-018-0848-x

    DOI

    http://dx.doi.org/10.1038/s41586-018-0848-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111631000

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30675043


    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/2008/0503", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Soil Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Columbia University", 
              "id": "https://www.grid.ac/institutes/grid.21729.3f", 
              "name": [
                "Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Green", 
            "givenName": "Julia K.", 
            "id": "sg:person.013415337025.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013415337025.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Swiss Federal Institute of Technology in Zurich", 
              "id": "https://www.grid.ac/institutes/grid.5801.c", 
              "name": [
                "Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Seneviratne", 
            "givenName": "Sonia I.", 
            "id": "sg:person.011052545437.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011052545437.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Princeton University", 
              "id": "https://www.grid.ac/institutes/grid.16750.35", 
              "name": [
                "Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Berg", 
            "givenName": "Alexis M.", 
            "id": "sg:person.014373614775.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014373614775.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Geophysical Fluid Dynamics Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.482795.5", 
              "name": [
                "Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Findell", 
            "givenName": "Kirsten L.", 
            "id": "sg:person.016611557065.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016611557065.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research", 
              "id": "https://www.grid.ac/institutes/grid.24999.3f", 
              "name": [
                "Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hagemann", 
            "givenName": "Stefan", 
            "id": "sg:person.014224046476.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014224046476.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Climate and Global Dynamics Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.469431.d", 
              "name": [
                "Climate and Global Dynamics Laboratory, Terrestrial Sciences, National Center for Atmospheric Research, Boulder, CO, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lawrence", 
            "givenName": "David M.", 
            "id": "sg:person.012764520737.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012764520737.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Columbia University", 
              "id": "https://www.grid.ac/institutes/grid.21729.3f", 
              "name": [
                "Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA", 
                "The Earth Institute, Columbia University, New York, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gentine", 
            "givenName": "Pierre", 
            "id": "sg:person.0720240666.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720240666.77"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature12350", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000773730", 
              "https://doi.org/10.1038/nature12350"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/amt-8-2589-2015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001026402"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2014jb011547", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001323408"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.rse.2012.02.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003167441"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jame.20015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003325693"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.earscirev.2010.02.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006890429"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/amtd-6-3883-2013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007267487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli3800.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008323173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1305499111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016688305"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ngeo1529", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018262095", 
              "https://doi.org/10.1038/ngeo1529"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-007-0247-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020145795", 
              "https://doi.org/10.1007/s00382-007-0247-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-007-0247-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020145795", 
              "https://doi.org/10.1007/s00382-007-0247-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1407302112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021624333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1082750", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022784831"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1066860", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025058821"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-012-1636-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028914989", 
              "https://doi.org/10.1007/s00382-012-1636-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-012-1636-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028914989", 
              "https://doi.org/10.1007/s00382-012-1636-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2009gl037543", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029804473"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.agrformet.2011.05.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031313352"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2012ms000173", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031774037"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13376", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032639875", 
              "https://doi.org/10.1038/nature13376"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-11-00560.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033714304"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1192666", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033845626"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1192666", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033845626"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-012-1411-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035096477", 
              "https://doi.org/10.1007/s00382-012-1411-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2014jg002670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035689345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2014jg002670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035689345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.agrformet.2014.02.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037420760"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ngeo2284", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037729232", 
              "https://doi.org/10.1038/ngeo2284"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2011gl048738", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038671993"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1100217", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038718082"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/grl.50956", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038780592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/grl.50956", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038780592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/hess-17-1765-2013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042009898"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nclimate3029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042260323", 
              "https://doi.org/10.1038/nclimate3029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/bg-12-2565-2015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042377364"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-012-1469-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042824118", 
              "https://doi.org/10.1007/s00382-012-1469-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043618867", 
              "https://doi.org/10.1038/nature05095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043618867", 
              "https://doi.org/10.1038/nature05095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043618867", 
              "https://doi.org/10.1038/nature05095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2009jcli2832.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043881523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nclimate2641", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044530470", 
              "https://doi.org/10.1038/nclimate2641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-12-00236.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045021840"
            ], 
            "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": "https://doi.org/10.1093/jxb/eru191", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045183705"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aab1833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046213583"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-12-00579.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046725636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aaa1668", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050052371"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2015jd024053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050149437"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-12-00150.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050395424"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/bams-d-11-00094.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051805105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jhm-d-13-0162.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063455419"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-016-0028-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1079403223", 
              "https://doi.org/10.1038/s41598-016-0028-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ngeo2903", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084129176", 
              "https://doi.org/10.1038/ngeo2903"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.17.00287", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085312128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ngeo2957", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085735008", 
              "https://doi.org/10.1038/ngeo2957"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ngeo2957", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085735008", 
              "https://doi.org/10.1038/ngeo2957"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature23021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091099767", 
              "https://doi.org/10.1038/nature23021"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature23021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091099767", 
              "https://doi.org/10.1038/nature23021"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/1748-9326/aa89a3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091466487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aam5747", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092192009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/essd-10-405-2018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101499322"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aat2481", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103524160"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-018-0424-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106295055", 
              "https://doi.org/10.1038/s41586-018-0424-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-018-0424-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106295055", 
              "https://doi.org/10.1038/s41586-018-0424-4"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-01", 
        "datePublishedReg": "2019-01-01", 
        "description": "Although the terrestrial biosphere absorbs about 25 per cent of anthropogenic carbon dioxide (CO2) emissions, the rate of land carbon uptake remains highly uncertain, leading to uncertainties in climate projections1,2. Understanding the factors that limit or drive land carbon storage is therefore important for improving climate predictions. One potential limiting factor for land carbon uptake is soil moisture, which can reduce gross primary production through ecosystem water stress3,4, cause vegetation mortality5 and further exacerbate climate extremes due to land-atmosphere feedbacks6. Previous work has explored the impact of soil-moisture availability on past carbon-flux variability3,7,8. However, the influence of soil-moisture variability and trends on the long-term carbon sink and the mechanisms responsible for associated carbon losses remain uncertain. Here we use the data output from four Earth system models9 from a series of experiments\u00a0to analyse the responses of terrestrial net biome productivity to soil-moisture changes, and find that soil-moisture variability and trends induce large CO2 fluxes (about two to three gigatons of carbon per year; comparable with the land carbon sink itself1) throughout the twenty-first century. Subseasonal and interannual soil-moisture variability generate CO2 as a result of the nonlinear response of photosynthesis and net ecosystem exchange to soil-water availability and of the increased temperature and vapour pressure deficit caused by land-atmosphere interactions. Soil-moisture variability reduces the present land carbon sink, and its increase and drying trends in several regions are expected to reduce it further. Our results emphasize that the capacity of continents to act as a future carbon sink critically depends on the nonlinear response of carbon fluxes to soil moisture and on land-atmosphere interactions. This suggests that the increasing trend in carbon uptake rate may not be sustained past the middle of the century and could result in accelerated atmospheric CO2 growth.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41586-018-0848-x", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1018957", 
            "issn": [
              "0090-0028", 
              "1476-4687"
            ], 
            "name": "Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "7740", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "565"
          }
        ], 
        "name": "Large influence of soil moisture on long-term terrestrial carbon uptake", 
        "pagination": "476-479", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "cf4f30f197631cb6f98082981326eafdd8afcbeb7b28347ea2130410476bfcb3"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30675043"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0410462"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41586-018-0848-x"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111631000"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41586-018-0848-x", 
          "https://app.dimensions.ai/details/publication/pub.1111631000"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T08:57", 
        "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/v90/0000000325_0000000325/records_100809_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41586-018-0848-x"
      }
    ]
     

    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/s41586-018-0848-x'

    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/s41586-018-0848-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41586-018-0848-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41586-018-0848-x'


     

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

    309 TRIPLES      21 PREDICATES      84 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41586-018-0848-x schema:about anzsrc-for:05
    2 anzsrc-for:0503
    3 schema:author N85d9c0cac36843d78766ea087d73781c
    4 schema:citation sg:pub.10.1007/s00382-007-0247-8
    5 sg:pub.10.1007/s00382-012-1411-3
    6 sg:pub.10.1007/s00382-012-1469-y
    7 sg:pub.10.1007/s00382-012-1636-1
    8 sg:pub.10.1038/nature05095
    9 sg:pub.10.1038/nature12350
    10 sg:pub.10.1038/nature13376
    11 sg:pub.10.1038/nature23021
    12 sg:pub.10.1038/nclimate2641
    13 sg:pub.10.1038/nclimate3029
    14 sg:pub.10.1038/ngeo1529
    15 sg:pub.10.1038/ngeo2284
    16 sg:pub.10.1038/ngeo2413
    17 sg:pub.10.1038/ngeo2903
    18 sg:pub.10.1038/ngeo2957
    19 sg:pub.10.1038/s41586-018-0424-4
    20 sg:pub.10.1038/s41598-016-0028-x
    21 https://doi.org/10.1002/2014jb011547
    22 https://doi.org/10.1002/2014jg002670
    23 https://doi.org/10.1002/2015jd024053
    24 https://doi.org/10.1002/grl.50956
    25 https://doi.org/10.1002/jame.20015
    26 https://doi.org/10.1016/j.agrformet.2011.05.019
    27 https://doi.org/10.1016/j.agrformet.2014.02.009
    28 https://doi.org/10.1016/j.earscirev.2010.02.004
    29 https://doi.org/10.1016/j.rse.2012.02.006
    30 https://doi.org/10.1029/2009gl037543
    31 https://doi.org/10.1029/2011gl048738
    32 https://doi.org/10.1029/2012ms000173
    33 https://doi.org/10.1073/pnas.1305499111
    34 https://doi.org/10.1073/pnas.1407302112
    35 https://doi.org/10.1088/1748-9326/aa89a3
    36 https://doi.org/10.1093/jxb/eru191
    37 https://doi.org/10.1104/pp.17.00287
    38 https://doi.org/10.1126/science.1066860
    39 https://doi.org/10.1126/science.1082750
    40 https://doi.org/10.1126/science.1100217
    41 https://doi.org/10.1126/science.1192666
    42 https://doi.org/10.1126/science.aaa1668
    43 https://doi.org/10.1126/science.aab1833
    44 https://doi.org/10.1126/science.aam5747
    45 https://doi.org/10.1126/science.aat2481
    46 https://doi.org/10.1175/2009jcli2832.1
    47 https://doi.org/10.1175/bams-d-11-00094.1
    48 https://doi.org/10.1175/jcli-d-11-00560.1
    49 https://doi.org/10.1175/jcli-d-12-00150.1
    50 https://doi.org/10.1175/jcli-d-12-00236.1
    51 https://doi.org/10.1175/jcli-d-12-00579.1
    52 https://doi.org/10.1175/jcli3800.1
    53 https://doi.org/10.1175/jhm-d-13-0162.1
    54 https://doi.org/10.5194/amt-8-2589-2015
    55 https://doi.org/10.5194/amtd-6-3883-2013
    56 https://doi.org/10.5194/bg-12-2565-2015
    57 https://doi.org/10.5194/essd-10-405-2018
    58 https://doi.org/10.5194/hess-17-1765-2013
    59 schema:datePublished 2019-01
    60 schema:datePublishedReg 2019-01-01
    61 schema:description Although the terrestrial biosphere absorbs about 25 per cent of anthropogenic carbon dioxide (CO<sub>2</sub>) emissions, the rate of land carbon uptake remains highly uncertain, leading to uncertainties in climate projections<sup>1,2</sup>. Understanding the factors that limit or drive land carbon storage is therefore important for improving climate predictions. One potential limiting factor for land carbon uptake is soil moisture, which can reduce gross primary production through ecosystem water stress<sup>3,4</sup>, cause vegetation mortality<sup>5</sup> and further exacerbate climate extremes due to land-atmosphere feedbacks<sup>6</sup>. Previous work has explored the impact of soil-moisture availability on past carbon-flux variability<sup>3,7,8</sup>. However, the influence of soil-moisture variability and trends on the long-term carbon sink and the mechanisms responsible for associated carbon losses remain uncertain. Here we use the data output from four Earth system models<sup>9</sup> from a series of experiments to analyse the responses of terrestrial net biome productivity to soil-moisture changes, and find that soil-moisture variability and trends induce large CO<sub>2</sub> fluxes (about two to three gigatons of carbon per year; comparable with the land carbon sink itself<sup>1</sup>) throughout the twenty-first century. Subseasonal and interannual soil-moisture variability generate CO<sub>2</sub> as a result of the nonlinear response of photosynthesis and net ecosystem exchange to soil-water availability and of the increased temperature and vapour pressure deficit caused by land-atmosphere interactions. Soil-moisture variability reduces the present land carbon sink, and its increase and drying trends in several regions are expected to reduce it further. Our results emphasize that the capacity of continents to act as a future carbon sink critically depends on the nonlinear response of carbon fluxes to soil moisture and on land-atmosphere interactions. This suggests that the increasing trend in carbon uptake rate may not be sustained past the middle of the century and could result in accelerated atmospheric CO<sub>2</sub> growth.
    62 schema:genre research_article
    63 schema:inLanguage en
    64 schema:isAccessibleForFree false
    65 schema:isPartOf N4be83d909b224e9096eeff44980cd39a
    66 Naa820281dc2c4cca85ab4c3d3f0529d0
    67 sg:journal.1018957
    68 schema:name Large influence of soil moisture on long-term terrestrial carbon uptake
    69 schema:pagination 476-479
    70 schema:productId N07fe1db549054dc3b0795c853432418b
    71 N264c6c0cdbdd4f36b949862226e50e0e
    72 N4f4f7195ec1343f98b1fface1e109a4d
    73 N821bdf022bc24240822703e8f44967a8
    74 Nddaa12fec1384b1d9acfbf45c7840941
    75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111631000
    76 https://doi.org/10.1038/s41586-018-0848-x
    77 schema:sdDatePublished 2019-04-11T08:57
    78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    79 schema:sdPublisher N6559154786584b448fff5af977d47dd9
    80 schema:url https://www.nature.com/articles/s41586-018-0848-x
    81 sgo:license sg:explorer/license/
    82 sgo:sdDataset articles
    83 rdf:type schema:ScholarlyArticle
    84 N07fe1db549054dc3b0795c853432418b schema:name pubmed_id
    85 schema:value 30675043
    86 rdf:type schema:PropertyValue
    87 N17e7298b88d54c9eb6d70259f59e21ab rdf:first sg:person.012764520737.74
    88 rdf:rest N9b97e37fe7b84718ab3cb9b6fc04f38f
    89 N264c6c0cdbdd4f36b949862226e50e0e schema:name readcube_id
    90 schema:value cf4f30f197631cb6f98082981326eafdd8afcbeb7b28347ea2130410476bfcb3
    91 rdf:type schema:PropertyValue
    92 N3668e4ba5a024650904860f982e3a5ea rdf:first sg:person.016611557065.74
    93 rdf:rest N42b165ce5920484f8736b781f079a53f
    94 N42b165ce5920484f8736b781f079a53f rdf:first sg:person.014224046476.26
    95 rdf:rest N17e7298b88d54c9eb6d70259f59e21ab
    96 N4be83d909b224e9096eeff44980cd39a schema:volumeNumber 565
    97 rdf:type schema:PublicationVolume
    98 N4f4f7195ec1343f98b1fface1e109a4d schema:name dimensions_id
    99 schema:value pub.1111631000
    100 rdf:type schema:PropertyValue
    101 N6559154786584b448fff5af977d47dd9 schema:name Springer Nature - SN SciGraph project
    102 rdf:type schema:Organization
    103 N821bdf022bc24240822703e8f44967a8 schema:name doi
    104 schema:value 10.1038/s41586-018-0848-x
    105 rdf:type schema:PropertyValue
    106 N85d9c0cac36843d78766ea087d73781c rdf:first sg:person.013415337025.71
    107 rdf:rest Nbb249b7ba4e9489f820b44e54883b8ca
    108 N9b97e37fe7b84718ab3cb9b6fc04f38f rdf:first sg:person.0720240666.77
    109 rdf:rest rdf:nil
    110 N9f6a3f80a7624c908d217658727c2dec rdf:first sg:person.014373614775.42
    111 rdf:rest N3668e4ba5a024650904860f982e3a5ea
    112 Naa820281dc2c4cca85ab4c3d3f0529d0 schema:issueNumber 7740
    113 rdf:type schema:PublicationIssue
    114 Nbb249b7ba4e9489f820b44e54883b8ca rdf:first sg:person.011052545437.05
    115 rdf:rest N9f6a3f80a7624c908d217658727c2dec
    116 Nddaa12fec1384b1d9acfbf45c7840941 schema:name nlm_unique_id
    117 schema:value 0410462
    118 rdf:type schema:PropertyValue
    119 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
    120 schema:name Environmental Sciences
    121 rdf:type schema:DefinedTerm
    122 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
    123 schema:name Soil Sciences
    124 rdf:type schema:DefinedTerm
    125 sg:journal.1018957 schema:issn 0090-0028
    126 1476-4687
    127 schema:name Nature
    128 rdf:type schema:Periodical
    129 sg:person.011052545437.05 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
    130 schema:familyName Seneviratne
    131 schema:givenName Sonia I.
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011052545437.05
    133 rdf:type schema:Person
    134 sg:person.012764520737.74 schema:affiliation https://www.grid.ac/institutes/grid.469431.d
    135 schema:familyName Lawrence
    136 schema:givenName David M.
    137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012764520737.74
    138 rdf:type schema:Person
    139 sg:person.013415337025.71 schema:affiliation https://www.grid.ac/institutes/grid.21729.3f
    140 schema:familyName Green
    141 schema:givenName Julia K.
    142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013415337025.71
    143 rdf:type schema:Person
    144 sg:person.014224046476.26 schema:affiliation https://www.grid.ac/institutes/grid.24999.3f
    145 schema:familyName Hagemann
    146 schema:givenName Stefan
    147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014224046476.26
    148 rdf:type schema:Person
    149 sg:person.014373614775.42 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
    150 schema:familyName Berg
    151 schema:givenName Alexis M.
    152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014373614775.42
    153 rdf:type schema:Person
    154 sg:person.016611557065.74 schema:affiliation https://www.grid.ac/institutes/grid.482795.5
    155 schema:familyName Findell
    156 schema:givenName Kirsten L.
    157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016611557065.74
    158 rdf:type schema:Person
    159 sg:person.0720240666.77 schema:affiliation https://www.grid.ac/institutes/grid.21729.3f
    160 schema:familyName Gentine
    161 schema:givenName Pierre
    162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720240666.77
    163 rdf:type schema:Person
    164 sg:pub.10.1007/s00382-007-0247-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020145795
    165 https://doi.org/10.1007/s00382-007-0247-8
    166 rdf:type schema:CreativeWork
    167 sg:pub.10.1007/s00382-012-1411-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035096477
    168 https://doi.org/10.1007/s00382-012-1411-3
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1007/s00382-012-1469-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1042824118
    171 https://doi.org/10.1007/s00382-012-1469-y
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1007/s00382-012-1636-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028914989
    174 https://doi.org/10.1007/s00382-012-1636-1
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1038/nature05095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043618867
    177 https://doi.org/10.1038/nature05095
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1038/nature12350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000773730
    180 https://doi.org/10.1038/nature12350
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1038/nature13376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032639875
    183 https://doi.org/10.1038/nature13376
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1038/nature23021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091099767
    186 https://doi.org/10.1038/nature23021
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1038/nclimate2641 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044530470
    189 https://doi.org/10.1038/nclimate2641
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1038/nclimate3029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042260323
    192 https://doi.org/10.1038/nclimate3029
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1038/ngeo1529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018262095
    195 https://doi.org/10.1038/ngeo1529
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1038/ngeo2284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037729232
    198 https://doi.org/10.1038/ngeo2284
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1038/ngeo2413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045141147
    201 https://doi.org/10.1038/ngeo2413
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1038/ngeo2903 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084129176
    204 https://doi.org/10.1038/ngeo2903
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1038/ngeo2957 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085735008
    207 https://doi.org/10.1038/ngeo2957
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1038/s41586-018-0424-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106295055
    210 https://doi.org/10.1038/s41586-018-0424-4
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1038/s41598-016-0028-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1079403223
    213 https://doi.org/10.1038/s41598-016-0028-x
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1002/2014jb011547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001323408
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1002/2014jg002670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035689345
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1002/2015jd024053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050149437
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1002/grl.50956 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038780592
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1002/jame.20015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003325693
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1016/j.agrformet.2011.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031313352
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1016/j.agrformet.2014.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037420760
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1016/j.earscirev.2010.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006890429
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1016/j.rse.2012.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003167441
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1029/2009gl037543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029804473
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1029/2011gl048738 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038671993
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1029/2012ms000173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031774037
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1073/pnas.1305499111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016688305
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1073/pnas.1407302112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021624333
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1088/1748-9326/aa89a3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091466487
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1093/jxb/eru191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045183705
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1104/pp.17.00287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085312128
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1126/science.1066860 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025058821
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1126/science.1082750 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022784831
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1126/science.1100217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038718082
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1126/science.1192666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033845626
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1126/science.aaa1668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050052371
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1126/science.aab1833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046213583
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1126/science.aam5747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092192009
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1126/science.aat2481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103524160
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1175/2009jcli2832.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043881523
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1175/bams-d-11-00094.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051805105
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1175/jcli-d-11-00560.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033714304
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1175/jcli-d-12-00150.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050395424
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1175/jcli-d-12-00236.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045021840
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1175/jcli-d-12-00579.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046725636
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1175/jcli3800.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008323173
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1175/jhm-d-13-0162.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063455419
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.5194/amt-8-2589-2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001026402
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.5194/amtd-6-3883-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007267487
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.5194/bg-12-2565-2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042377364
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.5194/essd-10-405-2018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101499322
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.5194/hess-17-1765-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042009898
    290 rdf:type schema:CreativeWork
    291 https://www.grid.ac/institutes/grid.16750.35 schema:alternateName Princeton University
    292 schema:name Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
    293 rdf:type schema:Organization
    294 https://www.grid.ac/institutes/grid.21729.3f schema:alternateName Columbia University
    295 schema:name Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA
    296 The Earth Institute, Columbia University, New York, NY, USA
    297 rdf:type schema:Organization
    298 https://www.grid.ac/institutes/grid.24999.3f schema:alternateName Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
    299 schema:name Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany
    300 rdf:type schema:Organization
    301 https://www.grid.ac/institutes/grid.469431.d schema:alternateName Climate and Global Dynamics Laboratory
    302 schema:name Climate and Global Dynamics Laboratory, Terrestrial Sciences, National Center for Atmospheric Research, Boulder, CO, USA
    303 rdf:type schema:Organization
    304 https://www.grid.ac/institutes/grid.482795.5 schema:alternateName Geophysical Fluid Dynamics Laboratory
    305 schema:name Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
    306 rdf:type schema:Organization
    307 https://www.grid.ac/institutes/grid.5801.c schema:alternateName Swiss Federal Institute of Technology in Zurich
    308 schema:name Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
    309 rdf:type schema:Organization
     




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


    ...