Ecosystem Service Flow Insights into Horizontal Ecological Compensation Standards for Water Resource: A Case Study in Dongjiang Lake Basin, China View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Jie Xu, Yu Xiao, Gaodi Xie, Yuan Jiang

ABSTRACT

Water supply services (WSSs) are critical for the regional water balance and water circulation, but relevant studies have not established the relationship between WSSs and human well-being. This research identifies the scope of areas that benefit from WSSs from an ecosystem service flow perspective. Moreover, the path and quantity of the flow of WSSs are simulated to provide a scientific theoretical basis for ecosystem service management and ecological compensation. The Dongjiang Lake Basin is a national priority river basin in China where ecological compensation pilot programmes concerning water resources are top priorities. Dongjiang Lake Basin experienced an increase and then a decrease in the overall supply of water, with an average net water supply of 1096–1500 mm for the years 1995, 2000, 2005 and 2010. The water demand increased each year in service beneficiary areas (SBAs), varying from 387 to 580 mm. Overall, Dongjiang Lake Basin met the net water demands of the actual SBAs in the lower reaches, but a gap in the water supply and demand emerged gradually. This research provides an understanding of the functional mechanisms for the provision, demand and flow of WSSs and provides a scientific theoretical basis for ecosystem service management and ecological compensation. More... »

PAGES

214-230

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11769-019-1025-3

DOI

http://dx.doi.org/10.1007/s11769-019-1025-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112505016


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/2008/0502", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Science and Management", 
        "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": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China", 
            "College of Resources and Environment, University of the Chinese Academy of Sciences, 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Jie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China", 
            "College of Resources and Environment, University of the Chinese Academy of Sciences, 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiao", 
        "givenName": "Yu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China", 
            "College of Resources and Environment, University of the Chinese Academy of Sciences, 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xie", 
        "givenName": "Gaodi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Normal University", 
          "id": "https://www.grid.ac/institutes/grid.20513.35", 
          "name": [
            "Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jiang", 
        "givenName": "Yuan", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ecolind.2012.03.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001495619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landusepol.2015.03.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002495262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landurbplan.2016.01.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002707087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2000wr900325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002761953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolind.2011.06.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003793964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolind.2013.11.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004162095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0132232", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005318602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scitotenv.2013.04.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010442547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-19-4377-2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019633008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolind.2016.06.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019800979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(02)00110-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020927578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(02)00110-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020927578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoser.2015.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021126445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landusepol.2016.06.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024430779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biocon.2007.12.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024822371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2013.07.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025703279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolecon.2011.04.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026286348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2016.01.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029526285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolind.2012.02.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029664259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoser.2014.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030223878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsoft.2016.01.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030477806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoser.2013.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033807528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1641/b571009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035698443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00329030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036628470", 
          "https://doi.org/10.1007/bf00329030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoser.2012.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038760056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolecon.2008.06.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039573330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoser.2012.07.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039989363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agee.2011.05.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041002407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolind.2013.09.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041784370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoser.2013.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042138190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolecon.2008.09.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042996752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolind.2011.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044141443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecocom.2013.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046549381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landusepol.2011.07.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047358614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoser.2014.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047447330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolind.2013.11.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047761908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/21513732.2011.645880", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047832392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolind.2009.02.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050294825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolecon.2013.03.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052014100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5751/es-06523-190264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073097288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5751/es-06523-190264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073097288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18402/resci.2016.07.12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084369999"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "Water supply services (WSSs) are critical for the regional water balance and water circulation, but relevant studies have not established the relationship between WSSs and human well-being. This research identifies the scope of areas that benefit from WSSs from an ecosystem service flow perspective. Moreover, the path and quantity of the flow of WSSs are simulated to provide a scientific theoretical basis for ecosystem service management and ecological compensation. The Dongjiang Lake Basin is a national priority river basin in China where ecological compensation pilot programmes concerning water resources are top priorities. Dongjiang Lake Basin experienced an increase and then a decrease in the overall supply of water, with an average net water supply of 1096\u20131500 mm for the years 1995, 2000, 2005 and 2010. The water demand increased each year in service beneficiary areas (SBAs), varying from 387 to 580 mm. Overall, Dongjiang Lake Basin met the net water demands of the actual SBAs in the lower reaches, but a gap in the water supply and demand emerged gradually. This research provides an understanding of the functional mechanisms for the provision, demand and flow of WSSs and provides a scientific theoretical basis for ecosystem service management and ecological compensation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11769-019-1025-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1028731", 
        "issn": [
          "1002-0063", 
          "1993-064X"
        ], 
        "name": "Chinese Geographical Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "Ecosystem Service Flow Insights into Horizontal Ecological Compensation Standards for Water Resource: A Case Study in Dongjiang Lake Basin, China", 
    "pagination": "214-230", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c6a7cdc62c2af6fb2a8e22e6ce55664f7415849d87b043bd738a4763070435a7"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11769-019-1025-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112505016"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11769-019-1025-3", 
      "https://app.dimensions.ai/details/publication/pub.1112505016"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:50", 
    "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/v90/0000000350_0000000350/records_77583_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11769-019-1025-3"
  }
]
 

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/s11769-019-1025-3'

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/s11769-019-1025-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11769-019-1025-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11769-019-1025-3'


 

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

203 TRIPLES      21 PREDICATES      67 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11769-019-1025-3 schema:about anzsrc-for:05
2 anzsrc-for:0502
3 schema:author N1044ee31cbfe475e9a83b04cb724b915
4 schema:citation sg:pub.10.1007/bf00329030
5 https://doi.org/10.1016/j.agee.2011.05.013
6 https://doi.org/10.1016/j.biocon.2007.12.020
7 https://doi.org/10.1016/j.ecocom.2013.07.004
8 https://doi.org/10.1016/j.ecolecon.2008.06.021
9 https://doi.org/10.1016/j.ecolecon.2008.09.014
10 https://doi.org/10.1016/j.ecolecon.2011.04.010
11 https://doi.org/10.1016/j.ecolecon.2013.03.019
12 https://doi.org/10.1016/j.ecolind.2009.02.005
13 https://doi.org/10.1016/j.ecolind.2011.06.019
14 https://doi.org/10.1016/j.ecolind.2011.06.022
15 https://doi.org/10.1016/j.ecolind.2012.02.013
16 https://doi.org/10.1016/j.ecolind.2012.03.025
17 https://doi.org/10.1016/j.ecolind.2013.09.018
18 https://doi.org/10.1016/j.ecolind.2013.11.024
19 https://doi.org/10.1016/j.ecolind.2013.11.025
20 https://doi.org/10.1016/j.ecolind.2016.06.050
21 https://doi.org/10.1016/j.ecoser.2012.07.012
22 https://doi.org/10.1016/j.ecoser.2012.09.001
23 https://doi.org/10.1016/j.ecoser.2013.02.003
24 https://doi.org/10.1016/j.ecoser.2013.07.007
25 https://doi.org/10.1016/j.ecoser.2014.06.003
26 https://doi.org/10.1016/j.ecoser.2014.11.005
27 https://doi.org/10.1016/j.ecoser.2015.08.002
28 https://doi.org/10.1016/j.envsoft.2016.01.007
29 https://doi.org/10.1016/j.jhazmat.2013.07.049
30 https://doi.org/10.1016/j.jhydrol.2016.01.034
31 https://doi.org/10.1016/j.landurbplan.2016.01.004
32 https://doi.org/10.1016/j.landusepol.2011.07.008
33 https://doi.org/10.1016/j.landusepol.2015.03.012
34 https://doi.org/10.1016/j.landusepol.2016.06.006
35 https://doi.org/10.1016/j.scitotenv.2013.04.025
36 https://doi.org/10.1016/s0022-1694(02)00110-5
37 https://doi.org/10.1029/2000wr900325
38 https://doi.org/10.1080/21513732.2011.645880
39 https://doi.org/10.1371/journal.pone.0132232
40 https://doi.org/10.1641/b571009
41 https://doi.org/10.18402/resci.2016.07.12
42 https://doi.org/10.5194/hess-19-4377-2015
43 https://doi.org/10.5751/es-06523-190264
44 schema:datePublished 2019-04
45 schema:datePublishedReg 2019-04-01
46 schema:description Water supply services (WSSs) are critical for the regional water balance and water circulation, but relevant studies have not established the relationship between WSSs and human well-being. This research identifies the scope of areas that benefit from WSSs from an ecosystem service flow perspective. Moreover, the path and quantity of the flow of WSSs are simulated to provide a scientific theoretical basis for ecosystem service management and ecological compensation. The Dongjiang Lake Basin is a national priority river basin in China where ecological compensation pilot programmes concerning water resources are top priorities. Dongjiang Lake Basin experienced an increase and then a decrease in the overall supply of water, with an average net water supply of 1096–1500 mm for the years 1995, 2000, 2005 and 2010. The water demand increased each year in service beneficiary areas (SBAs), varying from 387 to 580 mm. Overall, Dongjiang Lake Basin met the net water demands of the actual SBAs in the lower reaches, but a gap in the water supply and demand emerged gradually. This research provides an understanding of the functional mechanisms for the provision, demand and flow of WSSs and provides a scientific theoretical basis for ecosystem service management and ecological compensation.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree false
50 schema:isPartOf N0b550292c6854290b38160e32fd06e51
51 Ndc0334b48e174fe48e04d8c8075d394f
52 sg:journal.1028731
53 schema:name Ecosystem Service Flow Insights into Horizontal Ecological Compensation Standards for Water Resource: A Case Study in Dongjiang Lake Basin, China
54 schema:pagination 214-230
55 schema:productId N8bad7d9e73274c6d8a4c21b18bf5a5eb
56 N91ff2a04a6b24f05a27c016a6ed8f8ab
57 Nc05e1ea7f24d42e7b52a29e1772ebedf
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112505016
59 https://doi.org/10.1007/s11769-019-1025-3
60 schema:sdDatePublished 2019-04-11T10:50
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N11a5dc4a3bb64bf4bdfc3dfab4e0b136
63 schema:url https://link.springer.com/10.1007%2Fs11769-019-1025-3
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N04e13f79d8ac43188df76d28e6e8f6aa rdf:first Neb06c49564144e2aad5dee1195312c1f
68 rdf:rest N6fc164e21b1e4447addd94e6404f25b5
69 N069f70840015492b90f8a4c742e05c25 schema:affiliation https://www.grid.ac/institutes/grid.20513.35
70 schema:familyName Jiang
71 schema:givenName Yuan
72 rdf:type schema:Person
73 N0b550292c6854290b38160e32fd06e51 schema:volumeNumber 29
74 rdf:type schema:PublicationVolume
75 N1044ee31cbfe475e9a83b04cb724b915 rdf:first Nbd148bb123004d85adfa88000b719ca4
76 rdf:rest N04e13f79d8ac43188df76d28e6e8f6aa
77 N11a5dc4a3bb64bf4bdfc3dfab4e0b136 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N46da6bd3e4cb4adf90f3027a6f0b9007 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
80 schema:familyName Xie
81 schema:givenName Gaodi
82 rdf:type schema:Person
83 N6717fce935e34c16bf545d5e0379d314 rdf:first N069f70840015492b90f8a4c742e05c25
84 rdf:rest rdf:nil
85 N6fc164e21b1e4447addd94e6404f25b5 rdf:first N46da6bd3e4cb4adf90f3027a6f0b9007
86 rdf:rest N6717fce935e34c16bf545d5e0379d314
87 N8bad7d9e73274c6d8a4c21b18bf5a5eb schema:name readcube_id
88 schema:value c6a7cdc62c2af6fb2a8e22e6ce55664f7415849d87b043bd738a4763070435a7
89 rdf:type schema:PropertyValue
90 N91ff2a04a6b24f05a27c016a6ed8f8ab schema:name doi
91 schema:value 10.1007/s11769-019-1025-3
92 rdf:type schema:PropertyValue
93 Nbd148bb123004d85adfa88000b719ca4 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
94 schema:familyName Xu
95 schema:givenName Jie
96 rdf:type schema:Person
97 Nc05e1ea7f24d42e7b52a29e1772ebedf schema:name dimensions_id
98 schema:value pub.1112505016
99 rdf:type schema:PropertyValue
100 Ndc0334b48e174fe48e04d8c8075d394f schema:issueNumber 2
101 rdf:type schema:PublicationIssue
102 Neb06c49564144e2aad5dee1195312c1f schema:affiliation https://www.grid.ac/institutes/grid.410726.6
103 schema:familyName Xiao
104 schema:givenName Yu
105 rdf:type schema:Person
106 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
107 schema:name Environmental Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
110 schema:name Environmental Science and Management
111 rdf:type schema:DefinedTerm
112 sg:journal.1028731 schema:issn 1002-0063
113 1993-064X
114 schema:name Chinese Geographical Science
115 rdf:type schema:Periodical
116 sg:pub.10.1007/bf00329030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036628470
117 https://doi.org/10.1007/bf00329030
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.agee.2011.05.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041002407
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.biocon.2007.12.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024822371
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.ecocom.2013.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046549381
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.ecolecon.2008.06.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039573330
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.ecolecon.2008.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042996752
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.ecolecon.2011.04.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026286348
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.ecolecon.2013.03.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052014100
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.ecolind.2009.02.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050294825
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.ecolind.2011.06.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003793964
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.ecolind.2011.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044141443
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.ecolind.2012.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029664259
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.ecolind.2012.03.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001495619
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.ecolind.2013.09.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041784370
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.ecolind.2013.11.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047761908
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.ecolind.2013.11.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004162095
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.ecolind.2016.06.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019800979
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.ecoser.2012.07.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039989363
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.ecoser.2012.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038760056
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.ecoser.2013.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033807528
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.ecoser.2013.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042138190
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.ecoser.2014.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047447330
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.ecoser.2014.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030223878
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.ecoser.2015.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021126445
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.envsoft.2016.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030477806
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.jhazmat.2013.07.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025703279
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.jhydrol.2016.01.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029526285
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.landurbplan.2016.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002707087
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.landusepol.2011.07.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047358614
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.landusepol.2015.03.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002495262
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.landusepol.2016.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024430779
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.scitotenv.2013.04.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010442547
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/s0022-1694(02)00110-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020927578
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1029/2000wr900325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002761953
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1080/21513732.2011.645880 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047832392
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1371/journal.pone.0132232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005318602
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1641/b571009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035698443
190 rdf:type schema:CreativeWork
191 https://doi.org/10.18402/resci.2016.07.12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084369999
192 rdf:type schema:CreativeWork
193 https://doi.org/10.5194/hess-19-4377-2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019633008
194 rdf:type schema:CreativeWork
195 https://doi.org/10.5751/es-06523-190264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073097288
196 rdf:type schema:CreativeWork
197 https://www.grid.ac/institutes/grid.20513.35 schema:alternateName Beijing Normal University
198 schema:name Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, China
199 rdf:type schema:Organization
200 https://www.grid.ac/institutes/grid.410726.6 schema:alternateName University of Chinese Academy of Sciences
201 schema:name College of Resources and Environment, University of the Chinese Academy of Sciences, 100049, Beijing, China
202 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
203 rdf:type schema:Organization
 




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


...