Forest cover changes in North Korea since the 1980s View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-02

AUTHORS

Sangjun Kang, Woonsup Choi

ABSTRACT

North Korea used to have abundant forest stocks but underwent substantial deforestation and degradation of forest in recent decades. This study examined morphological changes of forest cover in North Korea between the 1980s and 2000s. Land cover data based on Landsat TM imagery were obtained as images from the Republic of Korea’s Ministry of Environment. The images were processed and used for the morphological spatial pattern analysis (MSPA) and network analysis. MSPA classified the forest cover into morphological classes such as core, islet, bridge, perforation, edge, loop, and branch. The network analysis identified individual networks of forest, each of which represents a patch of connected forest. The results are summarized as follows: (1) forest cover sharply decreased between the 1990s and 2000s, particularly in western provinces; (2) morphological classes indicating forest fragmentation such as islet, branch, and edge consistently increased in their fraction to the total area between the 1980s and 2000s; (3) islet, branch, and edge also increased in number during the same period; (4) forest networks shrank in size and increased in number. Overall, the results demonstrate that deforestation and fragmentation of forest occurred simultaneously in North Korea during the time. More... »

PAGES

347-354

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10113-013-0497-4

DOI

http://dx.doi.org/10.1007/s10113-013-0497-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016696176


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/2008/0705", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Forestry Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Gyeonggi Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.496114.f", 
          "name": [
            "Department of Vision and Future Studies, Gyeonggi Research Institute, Suwon, Gyeonggi-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kang", 
        "givenName": "Sangjun", 
        "id": "sg:person.07571156306.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07571156306.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wisconsin\u2013Milwaukee", 
          "id": "https://www.grid.ac/institutes/grid.267468.9", 
          "name": [
            "Department of Geography, University of Wisconsin-Milwaukee, P.O. Box 413, 53201-0413, Milwaukee, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Woonsup", 
        "id": "sg:person.013745540105.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013745540105.48"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.envsoft.2008.05.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003662407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patrec.2008.10.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014760522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2486.2007.01446.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022108719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biocon.2010.01.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030056024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.ecolsys.34.011802.132419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045547863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1007963324520", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045628608", 
          "https://doi.org/10.1023/a:1007963324520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.landurbplan.2009.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046091521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/452523", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058737179"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-02", 
    "datePublishedReg": "2014-02-01", 
    "description": "North Korea used to have abundant forest stocks but underwent substantial deforestation and degradation of forest in recent decades. This study examined morphological changes of forest cover in North Korea between the 1980s and 2000s. Land cover data based on Landsat TM imagery were obtained as images from the Republic of Korea\u2019s Ministry of Environment. The images were processed and used for the morphological spatial pattern analysis (MSPA) and network analysis. MSPA classified the forest cover into morphological classes such as core, islet, bridge, perforation, edge, loop, and branch. The network analysis identified individual networks of forest, each of which represents a patch of connected forest. The results are summarized as follows: (1) forest cover sharply decreased between the 1990s and 2000s, particularly in western provinces; (2) morphological classes indicating forest fragmentation such as islet, branch, and edge consistently increased in their fraction to the total area between the 1980s and 2000s; (3) islet, branch, and edge also increased in number during the same period; (4) forest networks shrank in size and increased in number. Overall, the results demonstrate that deforestation and fragmentation of forest occurred simultaneously in North Korea during the time.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10113-013-0497-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1051354", 
        "issn": [
          "1436-3798", 
          "1436-378X"
        ], 
        "name": "Regional Environmental Change", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "Forest cover changes in North Korea since the 1980s", 
    "pagination": "347-354", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4f8cf1a163eec86891e638803242a165ad3ad7f377007d367f1eb2a6269f3a16"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10113-013-0497-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016696176"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10113-013-0497-4", 
      "https://app.dimensions.ai/details/publication/pub.1016696176"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:09", 
    "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_8660_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10113-013-0497-4"
  }
]
 

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/s10113-013-0497-4'

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/s10113-013-0497-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10113-013-0497-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10113-013-0497-4'


 

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

96 TRIPLES      21 PREDICATES      35 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10113-013-0497-4 schema:about anzsrc-for:07
2 anzsrc-for:0705
3 schema:author N271dd91c68eb4f91972e662f4a3b0d24
4 schema:citation sg:pub.10.1023/a:1007963324520
5 https://doi.org/10.1016/j.biocon.2010.01.024
6 https://doi.org/10.1016/j.envsoft.2008.05.005
7 https://doi.org/10.1016/j.landurbplan.2009.10.003
8 https://doi.org/10.1016/j.patrec.2008.10.015
9 https://doi.org/10.1086/452523
10 https://doi.org/10.1111/j.1365-2486.2007.01446.x
11 https://doi.org/10.1146/annurev.ecolsys.34.011802.132419
12 schema:datePublished 2014-02
13 schema:datePublishedReg 2014-02-01
14 schema:description North Korea used to have abundant forest stocks but underwent substantial deforestation and degradation of forest in recent decades. This study examined morphological changes of forest cover in North Korea between the 1980s and 2000s. Land cover data based on Landsat TM imagery were obtained as images from the Republic of Korea’s Ministry of Environment. The images were processed and used for the morphological spatial pattern analysis (MSPA) and network analysis. MSPA classified the forest cover into morphological classes such as core, islet, bridge, perforation, edge, loop, and branch. The network analysis identified individual networks of forest, each of which represents a patch of connected forest. The results are summarized as follows: (1) forest cover sharply decreased between the 1990s and 2000s, particularly in western provinces; (2) morphological classes indicating forest fragmentation such as islet, branch, and edge consistently increased in their fraction to the total area between the 1980s and 2000s; (3) islet, branch, and edge also increased in number during the same period; (4) forest networks shrank in size and increased in number. Overall, the results demonstrate that deforestation and fragmentation of forest occurred simultaneously in North Korea during the time.
15 schema:genre research_article
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf Na221f9cd67d3414ea2445ba2a32c6df2
19 Nf8184813cadc4284b08a31cb50dd4f76
20 sg:journal.1051354
21 schema:name Forest cover changes in North Korea since the 1980s
22 schema:pagination 347-354
23 schema:productId N1e8a9640204f4bf18a548b55b200ad8e
24 N1f1184bddf4748a981d4df468d82f893
25 N7714f51b4c01489e86d8ec74b8c64072
26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016696176
27 https://doi.org/10.1007/s10113-013-0497-4
28 schema:sdDatePublished 2019-04-10T14:09
29 schema:sdLicense https://scigraph.springernature.com/explorer/license/
30 schema:sdPublisher N125e8862f57e4db397e59b457675e004
31 schema:url http://link.springer.com/10.1007%2Fs10113-013-0497-4
32 sgo:license sg:explorer/license/
33 sgo:sdDataset articles
34 rdf:type schema:ScholarlyArticle
35 N125e8862f57e4db397e59b457675e004 schema:name Springer Nature - SN SciGraph project
36 rdf:type schema:Organization
37 N1e8a9640204f4bf18a548b55b200ad8e schema:name dimensions_id
38 schema:value pub.1016696176
39 rdf:type schema:PropertyValue
40 N1f1184bddf4748a981d4df468d82f893 schema:name doi
41 schema:value 10.1007/s10113-013-0497-4
42 rdf:type schema:PropertyValue
43 N271dd91c68eb4f91972e662f4a3b0d24 rdf:first sg:person.07571156306.36
44 rdf:rest N6d0701a75b534c1585772ec806831a37
45 N6d0701a75b534c1585772ec806831a37 rdf:first sg:person.013745540105.48
46 rdf:rest rdf:nil
47 N7714f51b4c01489e86d8ec74b8c64072 schema:name readcube_id
48 schema:value 4f8cf1a163eec86891e638803242a165ad3ad7f377007d367f1eb2a6269f3a16
49 rdf:type schema:PropertyValue
50 Na221f9cd67d3414ea2445ba2a32c6df2 schema:issueNumber 1
51 rdf:type schema:PublicationIssue
52 Nf8184813cadc4284b08a31cb50dd4f76 schema:volumeNumber 14
53 rdf:type schema:PublicationVolume
54 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
55 schema:name Agricultural and Veterinary Sciences
56 rdf:type schema:DefinedTerm
57 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
58 schema:name Forestry Sciences
59 rdf:type schema:DefinedTerm
60 sg:journal.1051354 schema:issn 1436-378X
61 1436-3798
62 schema:name Regional Environmental Change
63 rdf:type schema:Periodical
64 sg:person.013745540105.48 schema:affiliation https://www.grid.ac/institutes/grid.267468.9
65 schema:familyName Choi
66 schema:givenName Woonsup
67 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013745540105.48
68 rdf:type schema:Person
69 sg:person.07571156306.36 schema:affiliation https://www.grid.ac/institutes/grid.496114.f
70 schema:familyName Kang
71 schema:givenName Sangjun
72 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07571156306.36
73 rdf:type schema:Person
74 sg:pub.10.1023/a:1007963324520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045628608
75 https://doi.org/10.1023/a:1007963324520
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1016/j.biocon.2010.01.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030056024
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1016/j.envsoft.2008.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003662407
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1016/j.landurbplan.2009.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046091521
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1016/j.patrec.2008.10.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014760522
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1086/452523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058737179
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1111/j.1365-2486.2007.01446.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022108719
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1146/annurev.ecolsys.34.011802.132419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045547863
90 rdf:type schema:CreativeWork
91 https://www.grid.ac/institutes/grid.267468.9 schema:alternateName University of Wisconsin–Milwaukee
92 schema:name Department of Geography, University of Wisconsin-Milwaukee, P.O. Box 413, 53201-0413, Milwaukee, WI, USA
93 rdf:type schema:Organization
94 https://www.grid.ac/institutes/grid.496114.f schema:alternateName Gyeonggi Research Institute
95 schema:name Department of Vision and Future Studies, Gyeonggi Research Institute, Suwon, Gyeonggi-do, Republic of Korea
96 rdf:type schema:Organization
 




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


...