Multi-scale temporal variation of methane flux and its controls in a subtropical tidal salt marsh in eastern China View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-01

AUTHORS

Hong Li, Shengqi Dai, Zutao Ouyang, Xiao Xie, Haiqiang Guo, Caihong Gu, Xiangming Xiao, Zhenming Ge, Changhui Peng, Bin Zhao

ABSTRACT

CH4 emissions could vary with biotic and abiotic factors at different time scales. However, little is known about temporal dynamics of CH4 flux and its controls in coastal marshes. In this study, CH4 flux was continuously measured with the eddy covariance technique for 2 years in a subtropical salt marsh in eastern China. Wavelet analysis was applied to explore the multi-scale variations of CH4 flux and its controls. Additionally, partial wavelet coherence was used to disentangle confounding effects of measured variables. No consistent diurnal pattern was found in CH4 fluxes. However, the hot-moments of CH4 flux were observed after nighttime high tide on days near the spring tide. Periodic dynamics were also observed at multi-day, semilunar and seasonal scales. Tide height in summer had a negative effect on CH4 flux at the semilunar scale. Air temperature explained most variations in CH4 fluxes at the multi-day scale but CH4 flux was mainly controlled by PAR and GEP at the seasonal scale. Air temperature explained 48% and 56% of annual variations in CH4 fluxes in 2011 and 2012, respectively. In total, the salt marsh acted as a CH4 source (17.6 ± 3.0 g C–CH4 m−2 year−1), which was higher than most studies report for inland wetlands. Our results show that CH4 fluxes exhibit multiple periodicities and its controls vary with time scale; moreover, CH4 flux is strongly modified by tide. This study emphasizes the importance of ecosystem-specific measurements of CH4 fluxes, and more work is needed to estimate regional CH4 budgets. More... »

PAGES

163-179

References to SciGraph publications

  • 2013-08. Seasonal and spatial variations of methane emissions from coastal marshes in the northern Yellow River estuary, China in PLANT AND SOIL
  • 2014-03. Methane fluxes show consistent temperature dependence across microbial to ecosystem scales in NATURE
  • 1987-10. Methane emissions along a salt marsh salinity gradient in BIOGEOCHEMISTRY
  • 2013-05. Diurnal Variations of Carbon Dioxide, Methane, and Nitrous Oxide Vertical Fluxes in a Subtropical Estuarine Marsh on Neap and Spring Tide Days in CHESAPEAKE SCIENCE
  • 2016-06. Ecosystem Level Methane Fluxes from Tidal Freshwater and Brackish Marshes of the Mississippi River Delta: Implications for Coastal Wetland Carbon Projects in WETLANDS
  • 1998-04. Diel methane emission patterns from Scirpus lacustris and Phragmites australis in BIOGEOCHEMISTRY
  • 2011-10. Salinity Influence on Methane Emissions from Tidal Marshes in WETLANDS
  • 2005. Post-Field Data Quality Control in HANDBOOK OF MICROMETEOROLOGY
  • 2010-02. Seasonal variation in CH4 emission and its 13C-isotopic signature from Spartina alterniflora and Scirpus mariqueter soils in an estuarine wetland in PLANT AND SOIL
  • 2014-08. Net ecosystem carbon exchange and the greenhouse gas balance of tidal marshes along an estuarine salinity gradient in BIOGEOCHEMISTRY
  • 2013-10. Three decades of global methane sources and sinks in NATURE GEOSCIENCE
  • 2009-12. Effects of tidal fluctuations on CO2 and CH4 fluxes in the littoral zone of a brackish-water lake in LIMNOLOGY
  • 2015-08. Effects of semi-lunar tidal cycling on soil CO2 and CH4 emissions: a case study in the Yangtze River estuary, China in WETLANDS ECOLOGY AND MANAGEMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10533-017-0413-y

    DOI

    http://dx.doi.org/10.1007/s10533-017-0413-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1100162624


    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/2008/0907", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Quebec at Montreal", 
              "id": "https://www.grid.ac/institutes/grid.38678.32", 
              "name": [
                "Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China", 
                "Department of Biology Science, Institute of Environment Sciences, University of Quebec at Montreal, C3H 3P8, Montreal, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Hong", 
            "id": "sg:person.015160604030.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015160604030.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Fudan University", 
              "id": "https://www.grid.ac/institutes/grid.8547.e", 
              "name": [
                "Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dai", 
            "givenName": "Shengqi", 
            "id": "sg:person.0765127753.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765127753.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Michigan State University", 
              "id": "https://www.grid.ac/institutes/grid.17088.36", 
              "name": [
                "Department of Geography, Michigan State University, East Lansing, MI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ouyang", 
            "givenName": "Zutao", 
            "id": "sg:person.011606147471.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011606147471.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Fudan University", 
              "id": "https://www.grid.ac/institutes/grid.8547.e", 
              "name": [
                "Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xie", 
            "givenName": "Xiao", 
            "id": "sg:person.0643073527.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643073527.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Fudan University", 
              "id": "https://www.grid.ac/institutes/grid.8547.e", 
              "name": [
                "Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guo", 
            "givenName": "Haiqiang", 
            "id": "sg:person.014415575463.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014415575463.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Hydrological Station of Chongming County, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gu", 
            "givenName": "Caihong", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Oklahoma", 
              "id": "https://www.grid.ac/institutes/grid.266900.b", 
              "name": [
                "Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China", 
                "Department of Botany and Microbiology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xiao", 
            "givenName": "Xiangming", 
            "id": "sg:person.015456657127.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015456657127.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "East China Normal University", 
              "id": "https://www.grid.ac/institutes/grid.22069.3f", 
              "name": [
                "State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 200062, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ge", 
            "givenName": "Zhenming", 
            "id": "sg:person.011700665351.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011700665351.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Quebec at Montreal", 
              "id": "https://www.grid.ac/institutes/grid.38678.32", 
              "name": [
                "Department of Biology Science, Institute of Environment Sciences, University of Quebec at Montreal, C3H 3P8, Montreal, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Peng", 
            "givenName": "Changhui", 
            "id": "sg:person.01135756466.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135756466.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Fudan University", 
              "id": "https://www.grid.ac/institutes/grid.8547.e", 
              "name": [
                "Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhao", 
            "givenName": "Bin", 
            "id": "sg:person.011143414452.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011143414452.48"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1111/j.1600-0889.2007.00261.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001361892"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.chemosphere.2012.10.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002309766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2012gl051303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003667441"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/gcb.12131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004018048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-009-0033-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005204599", 
              "https://doi.org/10.1007/s11104-009-0033-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-009-0033-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005204599", 
              "https://doi.org/10.1007/s11104-009-0033-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecss.2007.09.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005432145"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/bg-10-8171-2013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005954167"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/acp-12-8475-2012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006481944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/1-4020-2265-4_9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008290260", 
              "https://doi.org/10.1007/1-4020-2265-4_9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10201-009-0284-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010697057", 
              "https://doi.org/10.1007/s10201-009-0284-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10201-009-0284-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010697057", 
              "https://doi.org/10.1007/s10201-009-0284-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10201-009-0284-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010697057", 
              "https://doi.org/10.1007/s10201-009-0284-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.atmosenv.2013.09.030", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010716464"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13164", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012057485", 
              "https://doi.org/10.1038/nature13164"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4141/cjss92-037", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012722137"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.chemosphere.2007.01.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012847059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/treephys/25.7.887", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014148881"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-555x(00)00079-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014996616"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02187365", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017242188", 
              "https://doi.org/10.1007/bf02187365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02187365", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017242188", 
              "https://doi.org/10.1007/bf02187365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/94gl01595", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017304424"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10533-014-9989-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019038937", 
              "https://doi.org/10.1007/s10533-014-9989-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-012-1564-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020056490", 
              "https://doi.org/10.1007/s11104-012-1564-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11104-012-1564-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020056490", 
              "https://doi.org/10.1007/s11104-012-1564-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2013gb004571", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020454374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2008jg000857", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021095913"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-2486.2003.00609.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021825185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2009.02083.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021900716"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2009.02083.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021900716"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2005.001002.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023113049"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2005.001002.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023113049"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2013jg002520", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023114770"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0477(2001)082<2415:fantts>2.3.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023600179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0169-5347(94)90309-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023647323"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/bg-8-2365-2011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027439700"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13157-016-0746-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028291797", 
              "https://doi.org/10.1007/s13157-016-0746-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11273-015-9415-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029206084", 
              "https://doi.org/10.1007/s11273-015-9415-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2002gl016848", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029664190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12237-013-9596-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029826481", 
              "https://doi.org/10.1007/s12237-013-9596-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2015jg003054", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030716655"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01431160110092911", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034259305"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/gcb.13520", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035659337"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/gcb.12649", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036780012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.agrformet.2014.08.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036849261"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2009.02111.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037386917"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.2009.02111.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037386917"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.agrformet.2004.02.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038384166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0304-3770(96)01047-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039474956"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/npg-11-561-2004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039817141"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/npg-11-561-2004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039817141"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ngeo1955", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040170298", 
              "https://doi.org/10.1038/ngeo1955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2002gb001917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040879394"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmarsys.2009.01.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042044221"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/96gb03352", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042476682"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13157-011-0197-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045995284", 
              "https://doi.org/10.1007/s13157-011-0197-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.agrformet.2015.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047740445"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jtech-d-12-00056.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049545651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1005933100905", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051591304", 
              "https://doi.org/10.1023/a:1005933100905"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4319/lo.1992.37.7.1420", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051973290"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecocom.2014.04.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052040530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10934520903542261", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058379179"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-01", 
        "datePublishedReg": "2018-01-01", 
        "description": "CH4 emissions could vary with biotic and abiotic factors at different time scales. However, little is known about temporal dynamics of CH4 flux and its controls in coastal marshes. In this study, CH4 flux was continuously measured with the eddy covariance technique for 2 years in a subtropical salt marsh in eastern China. Wavelet analysis was applied to explore the multi-scale variations of CH4 flux and its controls. Additionally, partial wavelet coherence was used to disentangle confounding effects of measured variables. No consistent diurnal pattern was found in CH4 fluxes. However, the hot-moments of CH4 flux were observed after nighttime high tide on days near the spring tide. Periodic dynamics were also observed at multi-day, semilunar and seasonal scales. Tide height in summer had a negative effect on CH4 flux at the semilunar scale. Air temperature explained most variations in CH4 fluxes at the multi-day scale but CH4 flux was mainly controlled by PAR and GEP at the seasonal scale. Air temperature explained 48% and 56% of annual variations in CH4 fluxes in 2011 and 2012, respectively. In total, the salt marsh acted as a CH4 source (17.6 \u00b1 3.0 g C\u2013CH4 m\u22122 year\u22121), which was higher than most studies report for inland wetlands. Our results show that CH4 fluxes exhibit multiple periodicities and its controls vary with time scale; moreover, CH4 flux is strongly modified by tide. This study emphasizes the importance of ecosystem-specific measurements of CH4 fluxes, and more work is needed to estimate regional CH4 budgets.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10533-017-0413-y", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7024082", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1124434", 
            "issn": [
              "0168-2563", 
              "1573-515X"
            ], 
            "name": "Biogeochemistry", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1-2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "137"
          }
        ], 
        "name": "Multi-scale temporal variation of methane flux and its controls in a subtropical tidal salt marsh in eastern China", 
        "pagination": "163-179", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "55b4facb6cfb9b824d4f37d2e01aea2f35fb0ece877f85efe014316039762d02"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10533-017-0413-y"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1100162624"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10533-017-0413-y", 
          "https://app.dimensions.ai/details/publication/pub.1100162624"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T01:53", 
        "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/v90/0000000001_0000000264/records_8700_00000484.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s10533-017-0413-y"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10533-017-0413-y'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10533-017-0413-y'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10533-017-0413-y'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10533-017-0413-y'


     

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

    313 TRIPLES      21 PREDICATES      80 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10533-017-0413-y schema:about anzsrc-for:09
    2 anzsrc-for:0907
    3 schema:author Nb57817a5beaf40e3a4c01b294777ad04
    4 schema:citation sg:pub.10.1007/1-4020-2265-4_9
    5 sg:pub.10.1007/bf02187365
    6 sg:pub.10.1007/s10201-009-0284-6
    7 sg:pub.10.1007/s10533-014-9989-7
    8 sg:pub.10.1007/s11104-009-0033-y
    9 sg:pub.10.1007/s11104-012-1564-1
    10 sg:pub.10.1007/s11273-015-9415-5
    11 sg:pub.10.1007/s12237-013-9596-1
    12 sg:pub.10.1007/s13157-011-0197-0
    13 sg:pub.10.1007/s13157-016-0746-7
    14 sg:pub.10.1023/a:1005933100905
    15 sg:pub.10.1038/nature13164
    16 sg:pub.10.1038/ngeo1955
    17 https://doi.org/10.1002/2013gb004571
    18 https://doi.org/10.1002/2013jg002520
    19 https://doi.org/10.1002/2015jg003054
    20 https://doi.org/10.1016/0169-5347(94)90309-3
    21 https://doi.org/10.1016/0304-3770(96)01047-9
    22 https://doi.org/10.1016/j.agrformet.2004.02.007
    23 https://doi.org/10.1016/j.agrformet.2014.08.017
    24 https://doi.org/10.1016/j.agrformet.2015.02.002
    25 https://doi.org/10.1016/j.atmosenv.2013.09.030
    26 https://doi.org/10.1016/j.chemosphere.2007.01.004
    27 https://doi.org/10.1016/j.chemosphere.2012.10.004
    28 https://doi.org/10.1016/j.ecocom.2014.04.005
    29 https://doi.org/10.1016/j.ecss.2007.09.022
    30 https://doi.org/10.1016/j.jmarsys.2009.01.021
    31 https://doi.org/10.1016/s0169-555x(00)00079-9
    32 https://doi.org/10.1029/2002gb001917
    33 https://doi.org/10.1029/2002gl016848
    34 https://doi.org/10.1029/2008jg000857
    35 https://doi.org/10.1029/2012gl051303
    36 https://doi.org/10.1029/94gl01595
    37 https://doi.org/10.1029/96gb03352
    38 https://doi.org/10.1046/j.1365-2486.2003.00609.x
    39 https://doi.org/10.1080/01431160110092911
    40 https://doi.org/10.1080/10934520903542261
    41 https://doi.org/10.1093/treephys/25.7.887
    42 https://doi.org/10.1111/gcb.12131
    43 https://doi.org/10.1111/gcb.12649
    44 https://doi.org/10.1111/gcb.13520
    45 https://doi.org/10.1111/j.1365-2486.2005.001002.x
    46 https://doi.org/10.1111/j.1365-2486.2009.02083.x
    47 https://doi.org/10.1111/j.1365-2486.2009.02111.x
    48 https://doi.org/10.1111/j.1600-0889.2007.00261.x
    49 https://doi.org/10.1175/1520-0477(2001)082<2415:fantts>2.3.co;2
    50 https://doi.org/10.1175/jtech-d-12-00056.1
    51 https://doi.org/10.4141/cjss92-037
    52 https://doi.org/10.4319/lo.1992.37.7.1420
    53 https://doi.org/10.5194/acp-12-8475-2012
    54 https://doi.org/10.5194/bg-10-8171-2013
    55 https://doi.org/10.5194/bg-8-2365-2011
    56 https://doi.org/10.5194/npg-11-561-2004
    57 schema:datePublished 2018-01
    58 schema:datePublishedReg 2018-01-01
    59 schema:description CH4 emissions could vary with biotic and abiotic factors at different time scales. However, little is known about temporal dynamics of CH4 flux and its controls in coastal marshes. In this study, CH4 flux was continuously measured with the eddy covariance technique for 2 years in a subtropical salt marsh in eastern China. Wavelet analysis was applied to explore the multi-scale variations of CH4 flux and its controls. Additionally, partial wavelet coherence was used to disentangle confounding effects of measured variables. No consistent diurnal pattern was found in CH4 fluxes. However, the hot-moments of CH4 flux were observed after nighttime high tide on days near the spring tide. Periodic dynamics were also observed at multi-day, semilunar and seasonal scales. Tide height in summer had a negative effect on CH4 flux at the semilunar scale. Air temperature explained most variations in CH4 fluxes at the multi-day scale but CH4 flux was mainly controlled by PAR and GEP at the seasonal scale. Air temperature explained 48% and 56% of annual variations in CH4 fluxes in 2011 and 2012, respectively. In total, the salt marsh acted as a CH4 source (17.6 ± 3.0 g C–CH4 m−2 year−1), which was higher than most studies report for inland wetlands. Our results show that CH4 fluxes exhibit multiple periodicities and its controls vary with time scale; moreover, CH4 flux is strongly modified by tide. This study emphasizes the importance of ecosystem-specific measurements of CH4 fluxes, and more work is needed to estimate regional CH4 budgets.
    60 schema:genre research_article
    61 schema:inLanguage en
    62 schema:isAccessibleForFree false
    63 schema:isPartOf N1b942bead7a448ed85f699237104617b
    64 N74f2b596da604cc9a77379525a75d284
    65 sg:journal.1124434
    66 schema:name Multi-scale temporal variation of methane flux and its controls in a subtropical tidal salt marsh in eastern China
    67 schema:pagination 163-179
    68 schema:productId N62035840a51e41699abe909cc8b744c4
    69 N8d7cb01612a54a21a92ec3737df36530
    70 Nbc14eb3c5abf4838ac5deb837e9db141
    71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100162624
    72 https://doi.org/10.1007/s10533-017-0413-y
    73 schema:sdDatePublished 2019-04-11T01:53
    74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    75 schema:sdPublisher Ne71fcbc8d611429cbd3f29fb493e1228
    76 schema:url http://link.springer.com/10.1007/s10533-017-0413-y
    77 sgo:license sg:explorer/license/
    78 sgo:sdDataset articles
    79 rdf:type schema:ScholarlyArticle
    80 N0a44f76884e342d2b4a7cdb15b4fa3ce rdf:first sg:person.0643073527.41
    81 rdf:rest Ne50d81427d12429d973204859a523400
    82 N1509b73f665d4870afbd38957b1dc421 schema:affiliation Nc9ba675094394e64b35e9ef10421e917
    83 schema:familyName Gu
    84 schema:givenName Caihong
    85 rdf:type schema:Person
    86 N1b942bead7a448ed85f699237104617b schema:issueNumber 1-2
    87 rdf:type schema:PublicationIssue
    88 N2182735b64584ad99c2af50a72bbe293 rdf:first sg:person.011700665351.66
    89 rdf:rest N7bc0b5c193654e28bcb0568f48060815
    90 N2bfb3ffda18f4ed1acc36ed14a7ae92e rdf:first N1509b73f665d4870afbd38957b1dc421
    91 rdf:rest N53b977d84b84473cb40b6c66c2f0cae7
    92 N3f9ef54272d14b2fbd00c4efc3193c4a rdf:first sg:person.011143414452.48
    93 rdf:rest rdf:nil
    94 N53b977d84b84473cb40b6c66c2f0cae7 rdf:first sg:person.015456657127.53
    95 rdf:rest N2182735b64584ad99c2af50a72bbe293
    96 N579add1011c8446a94d190017ce72b01 rdf:first sg:person.011606147471.35
    97 rdf:rest N0a44f76884e342d2b4a7cdb15b4fa3ce
    98 N62035840a51e41699abe909cc8b744c4 schema:name doi
    99 schema:value 10.1007/s10533-017-0413-y
    100 rdf:type schema:PropertyValue
    101 N74f2b596da604cc9a77379525a75d284 schema:volumeNumber 137
    102 rdf:type schema:PublicationVolume
    103 N7bc0b5c193654e28bcb0568f48060815 rdf:first sg:person.01135756466.59
    104 rdf:rest N3f9ef54272d14b2fbd00c4efc3193c4a
    105 N8d7cb01612a54a21a92ec3737df36530 schema:name readcube_id
    106 schema:value 55b4facb6cfb9b824d4f37d2e01aea2f35fb0ece877f85efe014316039762d02
    107 rdf:type schema:PropertyValue
    108 Naf837b87b7fe47e3af921fa04312b85b rdf:first sg:person.0765127753.37
    109 rdf:rest N579add1011c8446a94d190017ce72b01
    110 Nb57817a5beaf40e3a4c01b294777ad04 rdf:first sg:person.015160604030.83
    111 rdf:rest Naf837b87b7fe47e3af921fa04312b85b
    112 Nbc14eb3c5abf4838ac5deb837e9db141 schema:name dimensions_id
    113 schema:value pub.1100162624
    114 rdf:type schema:PropertyValue
    115 Nc9ba675094394e64b35e9ef10421e917 schema:name Hydrological Station of Chongming County, Shanghai, China
    116 rdf:type schema:Organization
    117 Ne50d81427d12429d973204859a523400 rdf:first sg:person.014415575463.15
    118 rdf:rest N2bfb3ffda18f4ed1acc36ed14a7ae92e
    119 Ne71fcbc8d611429cbd3f29fb493e1228 schema:name Springer Nature - SN SciGraph project
    120 rdf:type schema:Organization
    121 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    122 schema:name Engineering
    123 rdf:type schema:DefinedTerm
    124 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
    125 schema:name Environmental Engineering
    126 rdf:type schema:DefinedTerm
    127 sg:grant.7024082 http://pending.schema.org/fundedItem sg:pub.10.1007/s10533-017-0413-y
    128 rdf:type schema:MonetaryGrant
    129 sg:journal.1124434 schema:issn 0168-2563
    130 1573-515X
    131 schema:name Biogeochemistry
    132 rdf:type schema:Periodical
    133 sg:person.011143414452.48 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
    134 schema:familyName Zhao
    135 schema:givenName Bin
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011143414452.48
    137 rdf:type schema:Person
    138 sg:person.01135756466.59 schema:affiliation https://www.grid.ac/institutes/grid.38678.32
    139 schema:familyName Peng
    140 schema:givenName Changhui
    141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135756466.59
    142 rdf:type schema:Person
    143 sg:person.011606147471.35 schema:affiliation https://www.grid.ac/institutes/grid.17088.36
    144 schema:familyName Ouyang
    145 schema:givenName Zutao
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011606147471.35
    147 rdf:type schema:Person
    148 sg:person.011700665351.66 schema:affiliation https://www.grid.ac/institutes/grid.22069.3f
    149 schema:familyName Ge
    150 schema:givenName Zhenming
    151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011700665351.66
    152 rdf:type schema:Person
    153 sg:person.014415575463.15 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
    154 schema:familyName Guo
    155 schema:givenName Haiqiang
    156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014415575463.15
    157 rdf:type schema:Person
    158 sg:person.015160604030.83 schema:affiliation https://www.grid.ac/institutes/grid.38678.32
    159 schema:familyName Li
    160 schema:givenName Hong
    161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015160604030.83
    162 rdf:type schema:Person
    163 sg:person.015456657127.53 schema:affiliation https://www.grid.ac/institutes/grid.266900.b
    164 schema:familyName Xiao
    165 schema:givenName Xiangming
    166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015456657127.53
    167 rdf:type schema:Person
    168 sg:person.0643073527.41 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
    169 schema:familyName Xie
    170 schema:givenName Xiao
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643073527.41
    172 rdf:type schema:Person
    173 sg:person.0765127753.37 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
    174 schema:familyName Dai
    175 schema:givenName Shengqi
    176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0765127753.37
    177 rdf:type schema:Person
    178 sg:pub.10.1007/1-4020-2265-4_9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008290260
    179 https://doi.org/10.1007/1-4020-2265-4_9
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1007/bf02187365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017242188
    182 https://doi.org/10.1007/bf02187365
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1007/s10201-009-0284-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010697057
    185 https://doi.org/10.1007/s10201-009-0284-6
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1007/s10533-014-9989-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019038937
    188 https://doi.org/10.1007/s10533-014-9989-7
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/s11104-009-0033-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1005204599
    191 https://doi.org/10.1007/s11104-009-0033-y
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1007/s11104-012-1564-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020056490
    194 https://doi.org/10.1007/s11104-012-1564-1
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1007/s11273-015-9415-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029206084
    197 https://doi.org/10.1007/s11273-015-9415-5
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/s12237-013-9596-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029826481
    200 https://doi.org/10.1007/s12237-013-9596-1
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1007/s13157-011-0197-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045995284
    203 https://doi.org/10.1007/s13157-011-0197-0
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/s13157-016-0746-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028291797
    206 https://doi.org/10.1007/s13157-016-0746-7
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1023/a:1005933100905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051591304
    209 https://doi.org/10.1023/a:1005933100905
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1038/nature13164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012057485
    212 https://doi.org/10.1038/nature13164
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1038/ngeo1955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040170298
    215 https://doi.org/10.1038/ngeo1955
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1002/2013gb004571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020454374
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1002/2013jg002520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023114770
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1002/2015jg003054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030716655
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1016/0169-5347(94)90309-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023647323
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1016/0304-3770(96)01047-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039474956
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1016/j.agrformet.2004.02.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038384166
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1016/j.agrformet.2014.08.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036849261
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1016/j.agrformet.2015.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047740445
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1016/j.atmosenv.2013.09.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010716464
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1016/j.chemosphere.2007.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012847059
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1016/j.chemosphere.2012.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002309766
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1016/j.ecocom.2014.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052040530
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1016/j.ecss.2007.09.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005432145
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1016/j.jmarsys.2009.01.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042044221
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1016/s0169-555x(00)00079-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014996616
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1029/2002gb001917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040879394
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1029/2002gl016848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029664190
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1029/2008jg000857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021095913
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1029/2012gl051303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003667441
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1029/94gl01595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017304424
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1029/96gb03352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042476682
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1046/j.1365-2486.2003.00609.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021825185
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1080/01431160110092911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034259305
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1080/10934520903542261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058379179
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1093/treephys/25.7.887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014148881
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1111/gcb.12131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004018048
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1111/gcb.12649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036780012
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1111/gcb.13520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035659337
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1111/j.1365-2486.2005.001002.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023113049
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1111/j.1365-2486.2009.02083.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021900716
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1111/j.1365-2486.2009.02111.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037386917
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1111/j.1600-0889.2007.00261.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001361892
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1175/1520-0477(2001)082<2415:fantts>2.3.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023600179
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1175/jtech-d-12-00056.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049545651
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.4141/cjss92-037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012722137
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.4319/lo.1992.37.7.1420 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051973290
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.5194/acp-12-8475-2012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006481944
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.5194/bg-10-8171-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005954167
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.5194/bg-8-2365-2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027439700
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.5194/npg-11-561-2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039817141
    296 rdf:type schema:CreativeWork
    297 https://www.grid.ac/institutes/grid.17088.36 schema:alternateName Michigan State University
    298 schema:name Department of Geography, Michigan State University, East Lansing, MI, USA
    299 rdf:type schema:Organization
    300 https://www.grid.ac/institutes/grid.22069.3f schema:alternateName East China Normal University
    301 schema:name State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 200062, Shanghai, China
    302 rdf:type schema:Organization
    303 https://www.grid.ac/institutes/grid.266900.b schema:alternateName University of Oklahoma
    304 schema:name Department of Botany and Microbiology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, USA
    305 Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China
    306 rdf:type schema:Organization
    307 https://www.grid.ac/institutes/grid.38678.32 schema:alternateName University of Quebec at Montreal
    308 schema:name Department of Biology Science, Institute of Environment Sciences, University of Quebec at Montreal, C3H 3P8, Montreal, Canada
    309 Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China
    310 rdf:type schema:Organization
    311 https://www.grid.ac/institutes/grid.8547.e schema:alternateName Fudan University
    312 schema:name Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, 200438, Shanghai, China
    313 rdf:type schema:Organization
     




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


    ...