Energy exchange of an alpine grassland on the eastern Qinghai-Tibetan Plateau View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-02

AUTHORS

Lunyu Shang, Yu Zhang, Shihua Lü, Shaoying Wang

ABSTRACT

The seasonal variability in the surface energy exchange of an alpine grassland on the eastern Qinghai-Tibetan Plateau was investigated using eddy covariance measurements. Based on the change of air temperature and the seasonal distribution of precipitation, a winter season and wet season were identified, which were separated by transitional periods. The annual mean net radiation (Rn) was about 39 % of the annual mean solar radiation (Rs). Rn was relatively low during the winter season (21 % of Rs) compared with the wet season (54 % of Rs), which can be explained by the difference in surface albedo and moisture condition between the two seasons. Annually, the main consumer of net radiation was latent heat flux (LE). During the winter season, sensible heat flux (H) was dominant because of the frozen soil condition and lack of precipitation. During the wet season, LE expended 66 % of Rn due to relatively high temperature and sufficient rainfall coupled with vegetation growth. Leaf area index (LAI) had important influence on energy partitioning during wet season. The high LAI due to high soil water content (θv) contributed to high surface conductance (gc) and LE, and thus low Bowen ratio (β). LE was strongly controlled by Rn from June to August when gc and θv were high. During the transitional periods, H and LE were nearly equally partitioned in the energy balance. The results also suggested that the freeze–thaw condition of soil and the seasonal distribution of precipitation had important impacts on the energy exchange in this alpine grassland. More... »

PAGES

435-446

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11434-014-0685-8

DOI

http://dx.doi.org/10.1007/s11434-014-0685-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037591805


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0602", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Ecology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shang", 
        "givenName": "Lunyu", 
        "id": "sg:person.01271224543.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271224543.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Yu", 
        "id": "sg:person.015056660346.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015056660346.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "L\u00fc", 
        "givenName": "Shihua", 
        "id": "sg:person.015162002261.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015162002261.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Shaoying", 
        "id": "sg:person.01040547543.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040547543.71"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.agrformet.2004.11.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001173844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2009.06.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002996937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/bg-3-571-2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006974332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0065-2504(08)60119-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008570185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0426(1998)015<0416:fsefaa>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010220303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2486.2000.06015.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013759599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-1923(02)00041-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014894704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2005.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015964213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2005.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015964213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(96)03194-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016060807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:boun.0000030653.71031.96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016219709", 
          "https://doi.org/10.1023/b:boun.0000030653.71031.96"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11442-007-0259-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016441518", 
          "https://doi.org/10.1007/s11442-007-0259-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02656935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016920240", 
          "https://doi.org/10.1007/bf02656935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02656935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016920240", 
          "https://doi.org/10.1007/bf02656935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2486.1998.t01-1-00155.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020214208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2486.1998.t01-1-00155.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020214208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11434-012-5407-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021129843", 
          "https://doi.org/10.1007/s11434-012-5407-5"
        ], 
        "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/10.1016/s0168-1923(97)00060-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023913566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2001wr000989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024720458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.49710644707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024754898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/rs5052436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025272079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1984)112<0966:tlscah>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025964806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-1923(02)00109-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026442857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-1923(02)00109-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026442857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2486.2003.00629.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028018341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-004-0104-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029357303", 
          "https://doi.org/10.1007/s00704-004-0104-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0426(1997)014<0512:qcafsp>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030126426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2486.2000.06014.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031548252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00164332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032662274", 
          "https://doi.org/10.1007/bf00164332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-1923(00)00225-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032701018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0450(1975)014<0109:tdobsa>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033552081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jd009124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036506150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2004.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038641091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-1923(99)00088-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039922433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2011.09.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040712118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2151/jmsj.79.505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043065164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/06-0922.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046454427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1018966204465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047200425", 
          "https://doi.org/10.1023/a:1018966204465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-37722-0_13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048113622", 
          "https://doi.org/10.1007/3-540-37722-0_13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/97wr03499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050181433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1940725", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069664134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2151/jmsj1965.70.1b_319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084922918"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-02", 
    "datePublishedReg": "2015-02-01", 
    "description": "The seasonal variability in the surface energy exchange of an alpine grassland on the eastern Qinghai-Tibetan Plateau was investigated using eddy covariance measurements. Based on the change of air temperature and the seasonal distribution of precipitation, a winter season and wet season were identified, which were separated by transitional periods. The annual mean net radiation (Rn) was about 39 % of the annual mean solar radiation (Rs). Rn was relatively low during the winter season (21 % of Rs) compared with the wet season (54 % of Rs), which can be explained by the difference in surface albedo and moisture condition between the two seasons. Annually, the main consumer of net radiation was latent heat flux (LE). During the winter season, sensible heat flux (H) was dominant because of the frozen soil condition and lack of precipitation. During the wet season, LE expended 66 % of Rn due to relatively high temperature and sufficient rainfall coupled with vegetation growth. Leaf area index (LAI) had important influence on energy partitioning during wet season. The high LAI due to high soil water content (\u03b8v) contributed to high surface conductance (gc) and LE, and thus low Bowen ratio (\u03b2). LE was strongly controlled by Rn from June to August when gc and \u03b8v were high. During the transitional periods, H and LE were nearly equally partitioned in the energy balance. The results also suggested that the freeze\u2013thaw condition of soil and the seasonal distribution of precipitation had important impacts on the energy exchange in this alpine grassland.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11434-014-0685-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7006741", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7181644", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1051679", 
        "issn": [
          "2095-9273", 
          "2095-9281"
        ], 
        "name": "Science Bulletin", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "60"
      }
    ], 
    "name": "Energy exchange of an alpine grassland on the eastern Qinghai-Tibetan Plateau", 
    "pagination": "435-446", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b312fbe3c1e124ef0f9449df043fd2cee5d90756aef62d9f845aa1f45196f516"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11434-014-0685-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037591805"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11434-014-0685-8", 
      "https://app.dimensions.ai/details/publication/pub.1037591805"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:52", 
    "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_8684_00000539.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11434-014-0685-8"
  }
]
 

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/s11434-014-0685-8'

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/s11434-014-0685-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11434-014-0685-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11434-014-0685-8'


 

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

211 TRIPLES      21 PREDICATES      66 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11434-014-0685-8 schema:about anzsrc-for:06
2 anzsrc-for:0602
3 schema:author Nf43269d00b2f4f9ca6a8aaa1ec5dd306
4 schema:citation sg:pub.10.1007/3-540-37722-0_13
5 sg:pub.10.1007/bf00164332
6 sg:pub.10.1007/bf02656935
7 sg:pub.10.1007/s00704-004-0104-1
8 sg:pub.10.1007/s11434-012-5407-5
9 sg:pub.10.1007/s11442-007-0259-7
10 sg:pub.10.1023/a:1018966204465
11 sg:pub.10.1023/b:boun.0000030653.71031.96
12 https://doi.org/10.1002/qj.49710644707
13 https://doi.org/10.1016/j.agrformet.2004.11.012
14 https://doi.org/10.1016/j.agrformet.2004.12.002
15 https://doi.org/10.1016/j.agrformet.2005.08.001
16 https://doi.org/10.1016/j.agrformet.2009.06.009
17 https://doi.org/10.1016/j.agrformet.2011.09.017
18 https://doi.org/10.1016/s0022-1694(96)03194-0
19 https://doi.org/10.1016/s0065-2504(08)60119-1
20 https://doi.org/10.1016/s0168-1923(00)00225-2
21 https://doi.org/10.1016/s0168-1923(02)00041-2
22 https://doi.org/10.1016/s0168-1923(02)00109-0
23 https://doi.org/10.1016/s0168-1923(97)00060-9
24 https://doi.org/10.1016/s0168-1923(99)00088-x
25 https://doi.org/10.1029/2001wr000989
26 https://doi.org/10.1029/2007jd009124
27 https://doi.org/10.1029/97wr03499
28 https://doi.org/10.1046/j.1365-2486.1998.t01-1-00155.x
29 https://doi.org/10.1046/j.1365-2486.2000.06014.x
30 https://doi.org/10.1046/j.1365-2486.2000.06015.x
31 https://doi.org/10.1046/j.1365-2486.2003.00629.x
32 https://doi.org/10.1111/j.1365-2486.2005.001002.x
33 https://doi.org/10.1175/1520-0426(1997)014<0512:qcafsp>2.0.co;2
34 https://doi.org/10.1175/1520-0426(1998)015<0416:fsefaa>2.0.co;2
35 https://doi.org/10.1175/1520-0450(1975)014<0109:tdobsa>2.0.co;2
36 https://doi.org/10.1175/1520-0493(1984)112<0966:tlscah>2.0.co;2
37 https://doi.org/10.1890/06-0922.1
38 https://doi.org/10.2151/jmsj.79.505
39 https://doi.org/10.2151/jmsj1965.70.1b_319
40 https://doi.org/10.2307/1940725
41 https://doi.org/10.3390/rs5052436
42 https://doi.org/10.5194/bg-3-571-2006
43 schema:datePublished 2015-02
44 schema:datePublishedReg 2015-02-01
45 schema:description The seasonal variability in the surface energy exchange of an alpine grassland on the eastern Qinghai-Tibetan Plateau was investigated using eddy covariance measurements. Based on the change of air temperature and the seasonal distribution of precipitation, a winter season and wet season were identified, which were separated by transitional periods. The annual mean net radiation (Rn) was about 39 % of the annual mean solar radiation (Rs). Rn was relatively low during the winter season (21 % of Rs) compared with the wet season (54 % of Rs), which can be explained by the difference in surface albedo and moisture condition between the two seasons. Annually, the main consumer of net radiation was latent heat flux (LE). During the winter season, sensible heat flux (H) was dominant because of the frozen soil condition and lack of precipitation. During the wet season, LE expended 66 % of Rn due to relatively high temperature and sufficient rainfall coupled with vegetation growth. Leaf area index (LAI) had important influence on energy partitioning during wet season. The high LAI due to high soil water content (θv) contributed to high surface conductance (gc) and LE, and thus low Bowen ratio (β). LE was strongly controlled by Rn from June to August when gc and θv were high. During the transitional periods, H and LE were nearly equally partitioned in the energy balance. The results also suggested that the freeze–thaw condition of soil and the seasonal distribution of precipitation had important impacts on the energy exchange in this alpine grassland.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N45120d2cbce84be1845fbb6a82db69c1
50 N5876b3ed1d0a4b1db5d2c136c8681bee
51 sg:journal.1051679
52 schema:name Energy exchange of an alpine grassland on the eastern Qinghai-Tibetan Plateau
53 schema:pagination 435-446
54 schema:productId N4896c6528d714d4e93fd00a19d1b652f
55 N7b05d39534bd4729b31dd63e389f2aff
56 Nc487b03fa12d43e8b135f4fb0737e1fe
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037591805
58 https://doi.org/10.1007/s11434-014-0685-8
59 schema:sdDatePublished 2019-04-10T20:52
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N639250f0263c454fb564e4164d7ec9b4
62 schema:url http://link.springer.com/10.1007%2Fs11434-014-0685-8
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N153a0dc11cd84f8e97302dad10bd6a6d rdf:first sg:person.015162002261.07
67 rdf:rest Nf44f06719cad4fb591f9e927886bcde7
68 N1a4b484974014f88bf1bdd8df81a2b69 rdf:first sg:person.015056660346.42
69 rdf:rest N153a0dc11cd84f8e97302dad10bd6a6d
70 N45120d2cbce84be1845fbb6a82db69c1 schema:volumeNumber 60
71 rdf:type schema:PublicationVolume
72 N4896c6528d714d4e93fd00a19d1b652f schema:name dimensions_id
73 schema:value pub.1037591805
74 rdf:type schema:PropertyValue
75 N5876b3ed1d0a4b1db5d2c136c8681bee schema:issueNumber 4
76 rdf:type schema:PublicationIssue
77 N639250f0263c454fb564e4164d7ec9b4 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N7b05d39534bd4729b31dd63e389f2aff schema:name readcube_id
80 schema:value b312fbe3c1e124ef0f9449df043fd2cee5d90756aef62d9f845aa1f45196f516
81 rdf:type schema:PropertyValue
82 Nc487b03fa12d43e8b135f4fb0737e1fe schema:name doi
83 schema:value 10.1007/s11434-014-0685-8
84 rdf:type schema:PropertyValue
85 Nf43269d00b2f4f9ca6a8aaa1ec5dd306 rdf:first sg:person.01271224543.82
86 rdf:rest N1a4b484974014f88bf1bdd8df81a2b69
87 Nf44f06719cad4fb591f9e927886bcde7 rdf:first sg:person.01040547543.71
88 rdf:rest rdf:nil
89 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
90 schema:name Biological Sciences
91 rdf:type schema:DefinedTerm
92 anzsrc-for:0602 schema:inDefinedTermSet anzsrc-for:
93 schema:name Ecology
94 rdf:type schema:DefinedTerm
95 sg:grant.7006741 http://pending.schema.org/fundedItem sg:pub.10.1007/s11434-014-0685-8
96 rdf:type schema:MonetaryGrant
97 sg:grant.7181644 http://pending.schema.org/fundedItem sg:pub.10.1007/s11434-014-0685-8
98 rdf:type schema:MonetaryGrant
99 sg:journal.1051679 schema:issn 2095-9273
100 2095-9281
101 schema:name Science Bulletin
102 rdf:type schema:Periodical
103 sg:person.01040547543.71 schema:affiliation https://www.grid.ac/institutes/grid.9227.e
104 schema:familyName Wang
105 schema:givenName Shaoying
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040547543.71
107 rdf:type schema:Person
108 sg:person.01271224543.82 schema:affiliation https://www.grid.ac/institutes/grid.9227.e
109 schema:familyName Shang
110 schema:givenName Lunyu
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271224543.82
112 rdf:type schema:Person
113 sg:person.015056660346.42 schema:affiliation https://www.grid.ac/institutes/grid.9227.e
114 schema:familyName Zhang
115 schema:givenName Yu
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015056660346.42
117 rdf:type schema:Person
118 sg:person.015162002261.07 schema:affiliation https://www.grid.ac/institutes/grid.9227.e
119 schema:familyName
120 schema:givenName Shihua
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015162002261.07
122 rdf:type schema:Person
123 sg:pub.10.1007/3-540-37722-0_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048113622
124 https://doi.org/10.1007/3-540-37722-0_13
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/bf00164332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032662274
127 https://doi.org/10.1007/bf00164332
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/bf02656935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016920240
130 https://doi.org/10.1007/bf02656935
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s00704-004-0104-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029357303
133 https://doi.org/10.1007/s00704-004-0104-1
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s11434-012-5407-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021129843
136 https://doi.org/10.1007/s11434-012-5407-5
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s11442-007-0259-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016441518
139 https://doi.org/10.1007/s11442-007-0259-7
140 rdf:type schema:CreativeWork
141 sg:pub.10.1023/a:1018966204465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047200425
142 https://doi.org/10.1023/a:1018966204465
143 rdf:type schema:CreativeWork
144 sg:pub.10.1023/b:boun.0000030653.71031.96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016219709
145 https://doi.org/10.1023/b:boun.0000030653.71031.96
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1002/qj.49710644707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024754898
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.agrformet.2004.11.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001173844
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.agrformet.2004.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038641091
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.agrformet.2005.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015964213
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.agrformet.2009.06.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002996937
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.agrformet.2011.09.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040712118
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/s0022-1694(96)03194-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016060807
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/s0065-2504(08)60119-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008570185
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/s0168-1923(00)00225-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032701018
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/s0168-1923(02)00041-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014894704
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/s0168-1923(02)00109-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026442857
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/s0168-1923(97)00060-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023913566
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/s0168-1923(99)00088-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039922433
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1029/2001wr000989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024720458
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1029/2007jd009124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036506150
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1029/97wr03499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050181433
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1046/j.1365-2486.1998.t01-1-00155.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020214208
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1046/j.1365-2486.2000.06014.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031548252
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1046/j.1365-2486.2000.06015.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013759599
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1046/j.1365-2486.2003.00629.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028018341
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1111/j.1365-2486.2005.001002.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023113049
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1175/1520-0426(1997)014<0512:qcafsp>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030126426
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1175/1520-0426(1998)015<0416:fsefaa>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010220303
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1175/1520-0450(1975)014<0109:tdobsa>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033552081
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1175/1520-0493(1984)112<0966:tlscah>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025964806
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1890/06-0922.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046454427
198 rdf:type schema:CreativeWork
199 https://doi.org/10.2151/jmsj.79.505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043065164
200 rdf:type schema:CreativeWork
201 https://doi.org/10.2151/jmsj1965.70.1b_319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084922918
202 rdf:type schema:CreativeWork
203 https://doi.org/10.2307/1940725 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069664134
204 rdf:type schema:CreativeWork
205 https://doi.org/10.3390/rs5052436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025272079
206 rdf:type schema:CreativeWork
207 https://doi.org/10.5194/bg-3-571-2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006974332
208 rdf:type schema:CreativeWork
209 https://www.grid.ac/institutes/grid.9227.e schema:alternateName Chinese Academy of Sciences
210 schema:name Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 730000, Lanzhou, China
211 rdf:type schema:Organization
 




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


...