Spatio-temporal characteristics and driving forces of landscape structure changes in the middle reach of the Heihe River Basin from 1990 ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-27

AUTHORS

Feiyan Xiao, Guangyao Gao, Qin Shen, Xiaofeng Wang, Ying Ma, Yihe Lü, Bojie Fu

ABSTRACT

The oasis, desert–oasis ecotone (DOE) and desert compose the typical landscape structures in arid regions. The detection of landscape structure changes and quantification of the driving forces are vital to sustainable ecosystem management. Previous studies did not integrate the three landscape types, especially considering the role of the DOE, to detect landscape changes. (1) Detect the spatio-temporal dynamics of the landscape structure in the middle reach of the Heihe River Basin from 1990 to 2015. (2) Identify the key driving factors for landscape structure changes and quantify their contributions. The decision tree classification algorithm was combined with visual interpretation to extract oasis, DOE and desert areas. Status and trend indicators, transition matrix and landscape metrics were used to characterize the landscape changes. Redundancy analysis and variation portioning analysis were integrated for quantification of driving forces. Landscape change was characterized by oasis expansion (+ 37.21%) via a one-way transition with an unbalanced status. The contraction of DOE (− 12.73%) and desert (− 8.50%) areas mainly occurred on the periphery of the oasis. The landscape structure changes were mainly driven by the population, river flow and gross domestic product with unique contributions of 35.99, 9.01 and 7.68%, respectively, and a cumulative contribution of 96.64%. The mutual transformations among landscapes showed distinct spatio-temporal variations. Human activities, especially demographic factors, drove the changes in landscape structure. The development of oasis areas should be controlled within a suitable scale, and the DOE should be protected to maintain the stability of ecosystems in arid regions. More... »

PAGES

1-16

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10980-019-00801-2

DOI

http://dx.doi.org/10.1007/s10980-019-00801-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113046505


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/2008/0501", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Ecological Applications", 
        "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": "Research Center for Eco-Environmental Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419052.b", 
          "name": [
            "School of Earth Sciences and Resources, Chang\u2019an University, 710054, Xi\u2019an, Shaanxi, China", 
            "State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiao", 
        "givenName": "Feiyan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Research Center for Eco-Environmental Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419052.b", 
          "name": [
            "State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gao", 
        "givenName": "Guangyao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.66741.32", 
          "name": [
            "State Forestry Administration Key Laboratory of Forest Resources & Environmental Management, Beijing Forestry University, 100083, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shen", 
        "givenName": "Qin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "School of Earth Sciences and Resources, Chang\u2019an University, 710054, Xi\u2019an, Shaanxi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xiaofeng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Geographic Sciences and Natural Resources Research", 
          "id": "https://www.grid.ac/institutes/grid.424975.9", 
          "name": [
            "Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "Ying", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Research Center for Eco-Environmental Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419052.b", 
          "name": [
            "State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "L\u00fc", 
        "givenName": "Yihe", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Research Center for Eco-Environmental Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419052.b", 
          "name": [
            "State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fu", 
        "givenName": "Bojie", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jag.2011.12.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006356881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agwat.2006.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007758388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landurbplan.2003.10.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009739758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jafrearsci.2016.12.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010067045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ldr.2584", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011129115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-90-481-2776-4_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011315371", 
          "https://doi.org/10.1007/978-90-481-2776-4_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-90-481-2776-4_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011315371", 
          "https://doi.org/10.1007/978-90-481-2776-4_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecoleng.2014.04.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012351946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaridenv.2013.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013083692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2007.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013658953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jare.2000.0715", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016614587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jag.2014.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017205136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-1963(02)00283-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017741407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-1963(02)00283-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017741407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landurbplan.2004.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024216065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.isprsjprs.2016.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024709481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.jrs.8.083686", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028198881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0128960", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028871660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2013.02.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029021744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10980-016-0381-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030205938", 
          "https://doi.org/10.1007/s10980-016-0381-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10980-015-0209-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031356013", 
          "https://doi.org/10.1007/s10980-015-0209-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0921-8181(02)00201-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032453265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0921-8181(02)00201-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032453265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agee.2010.07.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032557313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12665-009-0158-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035695112", 
          "https://doi.org/10.1007/s12665-009-0158-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12665-009-0158-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035695112", 
          "https://doi.org/10.1007/s12665-009-0158-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaridenv.2005.06.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037735454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaridenv.2005.06.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037735454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.10542", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038313228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nsr/nwu017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038881220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/se-5-1071-2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039580113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10661-013-3377-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039882935", 
          "https://doi.org/10.1007/s10661-013-3377-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.7432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043858159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.7432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043858159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ldr.2563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044893485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landurbplan.2010.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051755285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jag.2017.07.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090881821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-017-04971-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091144368", 
          "https://doi.org/10.1038/s41598-017-04971-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.19044/esj.2017.v13n24p115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091642020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ldr.2991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103689003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2737/pnw-gtr-351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103750763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ldr.3085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105455759"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-27", 
    "datePublishedReg": "2019-03-27", 
    "description": "The oasis, desert\u2013oasis ecotone (DOE) and desert compose the typical landscape structures in arid regions. The detection of landscape structure changes and quantification of the driving forces are vital to sustainable ecosystem management. Previous studies did not integrate the three landscape types, especially considering the role of the DOE, to detect landscape changes. (1) Detect the spatio-temporal dynamics of the landscape structure in the middle reach of the Heihe River Basin from 1990 to 2015. (2) Identify the key driving factors for landscape structure changes and quantify their contributions. The decision tree classification algorithm was combined with visual interpretation to extract oasis, DOE and desert areas. Status and trend indicators, transition matrix and landscape metrics were used to characterize the landscape changes. Redundancy analysis and variation portioning analysis were integrated for quantification of driving forces. Landscape change was characterized by oasis expansion (+ 37.21%) via a one-way transition with an unbalanced status. The contraction of DOE (\u2212 12.73%) and desert (\u2212 8.50%) areas mainly occurred on the periphery of the oasis. The landscape structure changes were mainly driven by the population, river flow and gross domestic product with unique contributions of 35.99, 9.01 and 7.68%, respectively, and a cumulative contribution of 96.64%. The mutual transformations among landscapes showed distinct spatio-temporal variations. Human activities, especially demographic factors, drove the changes in landscape structure. The development of oasis areas should be controlled within a suitable scale, and the DOE should be protected to maintain the stability of ecosystems in arid regions.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10980-019-00801-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1043738", 
        "issn": [
          "0921-2973", 
          "1572-9761"
        ], 
        "name": "Landscape Ecology", 
        "type": "Periodical"
      }
    ], 
    "name": "Spatio-temporal characteristics and driving forces of landscape structure changes in the middle reach of the Heihe River Basin from 1990 to 2015", 
    "pagination": "1-16", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a66922d22443127cbee25bfe1c3fa561fefef2241900ac97df468b31d5609f63"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10980-019-00801-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113046505"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10980-019-00801-2", 
      "https://app.dimensions.ai/details/publication/pub.1113046505"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:20", 
    "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/v90/0000000368_0000000368/records_78965_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10980-019-00801-2"
  }
]
 

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/s10980-019-00801-2'

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/s10980-019-00801-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10980-019-00801-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10980-019-00801-2'


 

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

214 TRIPLES      21 PREDICATES      60 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10980-019-00801-2 schema:about anzsrc-for:05
2 anzsrc-for:0501
3 schema:author N9abffd64f0954eb0aa0e7e3169bb4545
4 schema:citation sg:pub.10.1007/978-90-481-2776-4_4
5 sg:pub.10.1007/s10661-013-3377-y
6 sg:pub.10.1007/s10980-015-0209-1
7 sg:pub.10.1007/s10980-016-0381-y
8 sg:pub.10.1007/s12665-009-0158-6
9 sg:pub.10.1038/s41598-017-04971-4
10 https://doi.org/10.1002/hyp.10542
11 https://doi.org/10.1002/hyp.7432
12 https://doi.org/10.1002/ldr.2563
13 https://doi.org/10.1002/ldr.2584
14 https://doi.org/10.1002/ldr.2991
15 https://doi.org/10.1002/ldr.3085
16 https://doi.org/10.1006/jare.2000.0715
17 https://doi.org/10.1016/j.agee.2010.07.017
18 https://doi.org/10.1016/j.agwat.2006.11.004
19 https://doi.org/10.1016/j.ecoleng.2014.04.020
20 https://doi.org/10.1016/j.isprsjprs.2016.03.008
21 https://doi.org/10.1016/j.jafrearsci.2016.12.019
22 https://doi.org/10.1016/j.jag.2011.12.003
23 https://doi.org/10.1016/j.jag.2014.05.008
24 https://doi.org/10.1016/j.jag.2017.07.006
25 https://doi.org/10.1016/j.jaridenv.2005.06.029
26 https://doi.org/10.1016/j.jaridenv.2013.12.009
27 https://doi.org/10.1016/j.jenvman.2007.04.003
28 https://doi.org/10.1016/j.jenvman.2013.02.041
29 https://doi.org/10.1016/j.landurbplan.2003.10.027
30 https://doi.org/10.1016/j.landurbplan.2004.08.002
31 https://doi.org/10.1016/j.landurbplan.2010.10.002
32 https://doi.org/10.1016/s0140-1963(02)00283-5
33 https://doi.org/10.1016/s0921-8181(02)00201-1
34 https://doi.org/10.1093/nsr/nwu017
35 https://doi.org/10.1117/1.jrs.8.083686
36 https://doi.org/10.1371/journal.pone.0128960
37 https://doi.org/10.19044/esj.2017.v13n24p115
38 https://doi.org/10.2737/pnw-gtr-351
39 https://doi.org/10.5194/se-5-1071-2014
40 schema:datePublished 2019-03-27
41 schema:datePublishedReg 2019-03-27
42 schema:description The oasis, desert–oasis ecotone (DOE) and desert compose the typical landscape structures in arid regions. The detection of landscape structure changes and quantification of the driving forces are vital to sustainable ecosystem management. Previous studies did not integrate the three landscape types, especially considering the role of the DOE, to detect landscape changes. (1) Detect the spatio-temporal dynamics of the landscape structure in the middle reach of the Heihe River Basin from 1990 to 2015. (2) Identify the key driving factors for landscape structure changes and quantify their contributions. The decision tree classification algorithm was combined with visual interpretation to extract oasis, DOE and desert areas. Status and trend indicators, transition matrix and landscape metrics were used to characterize the landscape changes. Redundancy analysis and variation portioning analysis were integrated for quantification of driving forces. Landscape change was characterized by oasis expansion (+ 37.21%) via a one-way transition with an unbalanced status. The contraction of DOE (− 12.73%) and desert (− 8.50%) areas mainly occurred on the periphery of the oasis. The landscape structure changes were mainly driven by the population, river flow and gross domestic product with unique contributions of 35.99, 9.01 and 7.68%, respectively, and a cumulative contribution of 96.64%. The mutual transformations among landscapes showed distinct spatio-temporal variations. Human activities, especially demographic factors, drove the changes in landscape structure. The development of oasis areas should be controlled within a suitable scale, and the DOE should be protected to maintain the stability of ecosystems in arid regions.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf sg:journal.1043738
47 schema:name Spatio-temporal characteristics and driving forces of landscape structure changes in the middle reach of the Heihe River Basin from 1990 to 2015
48 schema:pagination 1-16
49 schema:productId N14cdd3bee58646379c379fb801148b50
50 N73336a295b6c47888fe737786587c997
51 Nbf7809e9b8454f979ecd44adff1f49a5
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113046505
53 https://doi.org/10.1007/s10980-019-00801-2
54 schema:sdDatePublished 2019-04-11T13:20
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N3fea56fec28747f3967a4ffa27414cbd
57 schema:url https://link.springer.com/10.1007%2Fs10980-019-00801-2
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N14cdd3bee58646379c379fb801148b50 schema:name doi
62 schema:value 10.1007/s10980-019-00801-2
63 rdf:type schema:PropertyValue
64 N17a3e9512a6d48bb829a078146d54426 rdf:first N74411d2c44c34c84bf9f1d7691a0cd07
65 rdf:rest N238e417713544ebaacdd6136ff93d374
66 N238e417713544ebaacdd6136ff93d374 rdf:first N7d23743357394f638c0454c93bbe52ab
67 rdf:rest Nac00b22ac12a451eaa5e658e4d27cec4
68 N3fea56fec28747f3967a4ffa27414cbd schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N40d3aa1a39de4576b1408bc8deeab154 schema:affiliation https://www.grid.ac/institutes/grid.440661.1
71 schema:familyName Wang
72 schema:givenName Xiaofeng
73 rdf:type schema:Person
74 N446c7f9c500e4c93936d29a14dcf07de schema:affiliation https://www.grid.ac/institutes/grid.419052.b
75 schema:familyName Xiao
76 schema:givenName Feiyan
77 rdf:type schema:Person
78 N4e9bd6c5b4e8481c8012bbb17e7f2b66 schema:affiliation https://www.grid.ac/institutes/grid.419052.b
79 schema:familyName
80 schema:givenName Yihe
81 rdf:type schema:Person
82 N72f4b667d17c46f4a6a1b295ff261aaa rdf:first N4e9bd6c5b4e8481c8012bbb17e7f2b66
83 rdf:rest N9b6f88a0ed454bf4ae8effddae7aec82
84 N73336a295b6c47888fe737786587c997 schema:name readcube_id
85 schema:value a66922d22443127cbee25bfe1c3fa561fefef2241900ac97df468b31d5609f63
86 rdf:type schema:PropertyValue
87 N74411d2c44c34c84bf9f1d7691a0cd07 schema:affiliation https://www.grid.ac/institutes/grid.419052.b
88 schema:familyName Gao
89 schema:givenName Guangyao
90 rdf:type schema:Person
91 N7b4280c307e942e186b29a7707a47c4f schema:affiliation https://www.grid.ac/institutes/grid.424975.9
92 schema:familyName Ma
93 schema:givenName Ying
94 rdf:type schema:Person
95 N7d23743357394f638c0454c93bbe52ab schema:affiliation https://www.grid.ac/institutes/grid.66741.32
96 schema:familyName Shen
97 schema:givenName Qin
98 rdf:type schema:Person
99 N8129f758d3444fd2bdd01dbf9bb50c92 rdf:first N7b4280c307e942e186b29a7707a47c4f
100 rdf:rest N72f4b667d17c46f4a6a1b295ff261aaa
101 N9abffd64f0954eb0aa0e7e3169bb4545 rdf:first N446c7f9c500e4c93936d29a14dcf07de
102 rdf:rest N17a3e9512a6d48bb829a078146d54426
103 N9b6f88a0ed454bf4ae8effddae7aec82 rdf:first Nb81908642b8e4952adba0078bd6cca8e
104 rdf:rest rdf:nil
105 Nac00b22ac12a451eaa5e658e4d27cec4 rdf:first N40d3aa1a39de4576b1408bc8deeab154
106 rdf:rest N8129f758d3444fd2bdd01dbf9bb50c92
107 Nb81908642b8e4952adba0078bd6cca8e schema:affiliation https://www.grid.ac/institutes/grid.419052.b
108 schema:familyName Fu
109 schema:givenName Bojie
110 rdf:type schema:Person
111 Nbf7809e9b8454f979ecd44adff1f49a5 schema:name dimensions_id
112 schema:value pub.1113046505
113 rdf:type schema:PropertyValue
114 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
115 schema:name Environmental Sciences
116 rdf:type schema:DefinedTerm
117 anzsrc-for:0501 schema:inDefinedTermSet anzsrc-for:
118 schema:name Ecological Applications
119 rdf:type schema:DefinedTerm
120 sg:journal.1043738 schema:issn 0921-2973
121 1572-9761
122 schema:name Landscape Ecology
123 rdf:type schema:Periodical
124 sg:pub.10.1007/978-90-481-2776-4_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011315371
125 https://doi.org/10.1007/978-90-481-2776-4_4
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s10661-013-3377-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1039882935
128 https://doi.org/10.1007/s10661-013-3377-y
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s10980-015-0209-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031356013
131 https://doi.org/10.1007/s10980-015-0209-1
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/s10980-016-0381-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1030205938
134 https://doi.org/10.1007/s10980-016-0381-y
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s12665-009-0158-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035695112
137 https://doi.org/10.1007/s12665-009-0158-6
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/s41598-017-04971-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091144368
140 https://doi.org/10.1038/s41598-017-04971-4
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1002/hyp.10542 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038313228
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1002/hyp.7432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043858159
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1002/ldr.2563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044893485
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1002/ldr.2584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011129115
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1002/ldr.2991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103689003
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1002/ldr.3085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105455759
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1006/jare.2000.0715 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016614587
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.agee.2010.07.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032557313
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.agwat.2006.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007758388
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.ecoleng.2014.04.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012351946
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.isprsjprs.2016.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024709481
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.jafrearsci.2016.12.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010067045
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.jag.2011.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006356881
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.jag.2014.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017205136
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.jag.2017.07.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090881821
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.jaridenv.2005.06.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037735454
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.jaridenv.2013.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013083692
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.jenvman.2007.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013658953
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.jenvman.2013.02.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029021744
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.landurbplan.2003.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009739758
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.landurbplan.2004.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024216065
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.landurbplan.2010.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051755285
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/s0140-1963(02)00283-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017741407
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/s0921-8181(02)00201-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032453265
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1093/nsr/nwu017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038881220
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1117/1.jrs.8.083686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028198881
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1371/journal.pone.0128960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028871660
195 rdf:type schema:CreativeWork
196 https://doi.org/10.19044/esj.2017.v13n24p115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091642020
197 rdf:type schema:CreativeWork
198 https://doi.org/10.2737/pnw-gtr-351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103750763
199 rdf:type schema:CreativeWork
200 https://doi.org/10.5194/se-5-1071-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039580113
201 rdf:type schema:CreativeWork
202 https://www.grid.ac/institutes/grid.419052.b schema:alternateName Research Center for Eco-Environmental Sciences
203 schema:name School of Earth Sciences and Resources, Chang’an University, 710054, Xi’an, Shaanxi, China
204 State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, China
205 rdf:type schema:Organization
206 https://www.grid.ac/institutes/grid.424975.9 schema:alternateName Institute of Geographic Sciences and Natural Resources Research
207 schema:name Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
208 rdf:type schema:Organization
209 https://www.grid.ac/institutes/grid.440661.1 schema:alternateName Chang'an University
210 schema:name School of Earth Sciences and Resources, Chang’an University, 710054, Xi’an, Shaanxi, China
211 rdf:type schema:Organization
212 https://www.grid.ac/institutes/grid.66741.32 schema:alternateName Beijing Forestry University
213 schema:name State Forestry Administration Key Laboratory of Forest Resources & Environmental Management, Beijing Forestry University, 100083, Beijing, China
214 rdf:type schema:Organization
 




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


...