Perimeter-area ratio effects of urbanization intensity on forest characteristics, landscape patterns and their associations in Harbin City, Northeast China View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-02

AUTHORS

Hailiang Lv, Yanbo Yang, Dan Zhang, Hongju Du, Jianyu Zhang, Wenjie Wang, Xingyuan He

ABSTRACT

To maximize the ecological services of urban forests, a better understanding of the effects of urbanization on urban forest characteristics, landscape metrics, and their associations is needed for landscape-related regulations in space-limited green infrastructure of metropolitan regions. In this study, Harbin, a typical fast-growing provincial-capital city in Northeast China, is used as a case study. Based on remote sensing images, field surveys, and correlation and variation partitioning analyses, we conclude that landscape characteristics and forest attributes have large variations among different urbanization intensity (UI) regions. Forest patch density (PD), landscape shape index, woody plants species richness, and the Shannon–Wiener index (H′) increased linearly, while stem section area and tree height decreased linearly with the increasing of UIs. UI had a greater influence on tree size and forest community attributes than the forest landscape pattern. Accordingly, any landscape regulation on forest attributes should be implemented according to UIs. In addition, Euclidean nearest neighbor distance(ENN-MN), mean perimeter-area ratio (PARA-MN), fractal dimension index(FRAC-MN), and PD could probably indicate forest attributes the most, e.g., the increase of PARA-MN may be accompanied with taller trees in low and heavy UI regions, but lower woody plants species evenness in low and medium UI regions. More diversified woody plants species, and afforested areas should be advocated in a low UI region, while in a heavy UI region, the conservation of large trees should be implemented. Our results highlight that the implementation of urban forest management should vary according to different urbanization regions to maximize ecological services. More... »

PAGES

1-12

References to SciGraph publications

  • 2016-03. Effects of forest type and urbanization on species composition and diversity of urban forest in Changchun, Northeast China in URBAN ECOSYSTEMS
  • 2019-04. The effect of urbanization gradients and forest types on microclimatic regulation by trees, in association with climate, tree sizes and species compositions in Harbin city, northeastern China in URBAN ECOSYSTEMS
  • 2019-02-04. Urbanization-induced glomalin changes and their associations with land-use configuration, forest characteristics, and soil properties in Changchun, Northeast China in JOURNAL OF SOILS AND SEDIMENTS
  • 2017-09. Exotic and invasive species compromise the seed bank and seed rain dynamics in forests undergoing restoration at urban regions in JOURNAL OF FORESTRY RESEARCH
  • 2014-06. Effects of urban structure on plant species richness in a large European city in URBAN ECOSYSTEMS
  • 2018-11. Ectomycorrhizal fungus enhances drought tolerance of Pinus sylvestris var. mongolica seedlings and improves soil condition in JOURNAL OF FORESTRY RESEARCH
  • 2016-02. Toward forest “sprawl”: monitoring and planning a changing landscape for urban sustainability in JOURNAL OF FORESTRY RESEARCH
  • 2006-04. The Role of Landscape Patterns of Habitat Types on Plant Species Diversity of a Tropical Forest in Mexico in BIODIVERSITY AND CONSERVATION
  • 2013-10. Supplying urban ecosystem services through multifunctional green infrastructure in the United States in LANDSCAPE ECOLOGY
  • 2018-09-21. Urban land-use impacts on composition and spatiotemporal variations in abundance and biomass of earthworm community in JOURNAL OF FORESTRY RESEARCH
  • 2016-04. Ectomycorrhizal communities associated with Tilia amurensis trees in natural versus urban forests of Heilongjiang in northeast China in JOURNAL OF FORESTRY RESEARCH
  • 2013. Sub-regional Assessment of India: Effects of Urbanization on Land Use, Biodiversity and Ecosystem Services in URBANIZATION, BIODIVERSITY AND ECOSYSTEM SERVICES: CHALLENGES AND OPPORTUNITIES
  • 2018-07-31. The influence of land use change on the spatial–temporal variability of habitat quality between 1990 and 2010 in Northeast China in JOURNAL OF FORESTRY RESEARCH
  • 2018-05. Spatiotemporal pattern of urban forest leaf area index in response to rapid urbanization and urban greening in JOURNAL OF FORESTRY RESEARCH
  • 2010-12. Detecting human-driven deviations from trajectories in landscape composition and configuration in LANDSCAPE ECOLOGY
  • 2017-01. Seasonal dynamics and impact factors of urban forest CO2 concentration in Harbin, China in JOURNAL OF FORESTRY RESEARCH
  • 2017-07. Comparison of satellite images with different spatial resolutions to estimate stand structural diversity in urban forests in JOURNAL OF FORESTRY RESEARCH
  • 1988. Ecological Diversity and Its Measurement in NONE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11252-019-00850-0

    DOI

    http://dx.doi.org/10.1007/s11252-019-00850-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113199816


    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": "Northeast Institute of Geography and Agroecology", 
              "id": "https://www.grid.ac/institutes/grid.458493.7", 
              "name": [
                "Northeast Forestry University, 150040, Harbin, People\u2019s Republic of China", 
                "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lv", 
            "givenName": "Hailiang", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northeast Forestry University", 
              "id": "https://www.grid.ac/institutes/grid.412246.7", 
              "name": [
                "Northeast Forestry University, 150040, Harbin, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yang", 
            "givenName": "Yanbo", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Changchun University", 
              "id": "https://www.grid.ac/institutes/grid.440663.3", 
              "name": [
                "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, People\u2019s Republic of China", 
                "Changchun University, 130022, Changchun, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Dan", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northeast Forestry University", 
              "id": "https://www.grid.ac/institutes/grid.412246.7", 
              "name": [
                "Northeast Forestry University, 150040, Harbin, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Du", 
            "givenName": "Hongju", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northeast Forestry University", 
              "id": "https://www.grid.ac/institutes/grid.412246.7", 
              "name": [
                "Northeast Forestry University, 150040, Harbin, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Jianyu", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northeast Institute of Geography and Agroecology", 
              "id": "https://www.grid.ac/institutes/grid.458493.7", 
              "name": [
                "Northeast Forestry University, 150040, Harbin, People\u2019s Republic of China", 
                "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Wenjie", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Chinese Academy of Sciences", 
              "id": "https://www.grid.ac/institutes/grid.410726.6", 
              "name": [
                "Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, People\u2019s Republic of China", 
                "University of Chinese Academy of Sciences, 100049, Beijing, People\u2019s Republic of China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "He", 
            "givenName": "Xingyuan", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11676-016-0300-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001601820", 
              "https://doi.org/10.1007/s11676-016-0300-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-016-0300-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001601820", 
              "https://doi.org/10.1007/s11676-016-0300-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ufug.2016.07.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003046510"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f7090200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003488389"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolind.2014.02.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005242479"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolind.2014.02.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005242479"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-015-0158-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006653365", 
              "https://doi.org/10.1007/s11676-015-0158-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ufug.2013.02.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007113454"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.landurbplan.2016.05.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009833553"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.landurbplan.2016.05.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009833553"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.14358/pers.81.8.615", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012879140"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biocon.2006.02.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013197657"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-010-9523-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015033255", 
              "https://doi.org/10.1007/s10980-010-9523-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-010-9523-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015033255", 
              "https://doi.org/10.1007/s10980-010-9523-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10531-005-0598-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016319894", 
              "https://doi.org/10.1007/s10531-005-0598-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10531-005-0598-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016319894", 
              "https://doi.org/10.1007/s10531-005-0598-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolind.2015.08.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017771921"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolind.2015.08.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017771921"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-013-9912-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018060972", 
              "https://doi.org/10.1007/s10980-013-9912-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-015-7358-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022132261", 
              "https://doi.org/10.1007/978-94-015-7358-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-015-7358-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022132261", 
              "https://doi.org/10.1007/978-94-015-7358-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.14358/pers.76.5.557", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022164614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4028/www.scientific.net/amr.1065-1069.2814", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022899616"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.landurbplan.2009.07.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024540797"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00330120902742920", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026345410"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-015-0144-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026743851", 
              "https://doi.org/10.1007/s11676-015-0144-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-016-0353-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027496889", 
              "https://doi.org/10.1007/s11676-016-0353-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-016-0353-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027496889", 
              "https://doi.org/10.1007/s11676-016-0353-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ufug.2015.03.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029270847"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1600-0706.2009.17860.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030005588"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1600-0706.2009.17860.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030005588"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11252-013-0319-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031606192", 
              "https://doi.org/10.1007/s11252-013-0319-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3843/susdev.15.4:12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034161536"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ufug.2015.11.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037045389"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f4040868", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037847960"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolind.2012.04.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039325688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-007-7088-1_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040989085", 
              "https://doi.org/10.1007/978-94-007-7088-1_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.apgeog.2010.10.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042418891"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/geb.12486", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042469782"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tree.2011.08.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042526393"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolind.2007.06.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043901455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1579/08-a-490.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044045767"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4337/9781783478996.00014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045284796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolind.2012.07.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045440959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-5193(66)90013-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046857122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11252-015-0473-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050275064", 
              "https://doi.org/10.1007/s11252-015-0473-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-2699.1996.00033.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050776548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecocom.2010.03.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051927466"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.3067010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057907404"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2134/jeq2015.11.0567", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069011540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ufug.2017.01.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074240452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ufug.2017.01.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074240452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-017-0370-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083426139", 
              "https://doi.org/10.1007/s11676-017-0370-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-017-0370-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083426139", 
              "https://doi.org/10.1007/s11676-017-0370-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.landurbplan.2017.03.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084849406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.landurbplan.2017.03.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084849406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.landurbplan.2017.03.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084849406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.landurbplan.2017.03.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084849406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f8040130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084965850"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ecolind.2017.05.042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085576175"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jfe.2017.04.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085751745"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5846/stxb201603080412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085792567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.chnaes.2017.02.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090590115"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scitotenv.2017.06.218", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090695149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jenvman.2017.07.065", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090992943"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.foreco.2017.08.047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091495503"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-017-0480-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091817457", 
              "https://doi.org/10.1007/s11676-017-0480-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.envres.2017.11.038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099607621"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.envres.2017.11.038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099607621"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.envres.2017.11.038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099607621"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-017-0583-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100114768", 
              "https://doi.org/10.1007/s11676-017-0583-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3832/ifor2466-010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100910862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3832/ifor2466-010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100910862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jenvman.2018.07.047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105768508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-018-0771-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105927475", 
              "https://doi.org/10.1007/s11676-018-0771-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7717/peerj.5450", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106194406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ufug.2018.09.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107128343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11676-018-0807-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107185292", 
              "https://doi.org/10.1007/s11676-018-0807-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7717/peerj.5825", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107908936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/f10010058", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111397707"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11252-019-0823-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111650912", 
              "https://doi.org/10.1007/s11252-019-0823-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11252-019-0823-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111650912", 
              "https://doi.org/10.1007/s11252-019-0823-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11368-019-02266-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111916167", 
              "https://doi.org/10.1007/s11368-019-02266-x"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-04-02", 
        "datePublishedReg": "2019-04-02", 
        "description": "To maximize the ecological services of urban forests, a better understanding of the effects of urbanization on urban forest characteristics, landscape metrics, and their associations is needed for landscape-related regulations in space-limited green infrastructure of metropolitan regions. In this study, Harbin, a typical fast-growing provincial-capital city in Northeast China, is used as a case study. Based on remote sensing images, field surveys, and correlation and variation partitioning analyses, we conclude that landscape characteristics and forest attributes have large variations among different urbanization intensity (UI) regions. Forest patch density (PD), landscape shape index, woody plants species richness, and the Shannon\u2013Wiener index (H\u2032) increased linearly, while stem section area and tree height decreased linearly with the increasing of UIs. UI had a greater influence on tree size and forest community attributes than the forest landscape pattern. Accordingly, any landscape regulation on forest attributes should be implemented according to UIs. In addition, Euclidean nearest neighbor distance(ENN-MN), mean perimeter-area ratio (PARA-MN), fractal dimension index(FRAC-MN), and PD could probably indicate forest attributes the most, e.g., the increase of PARA-MN may be accompanied with taller trees in low and heavy UI regions, but lower woody plants species evenness in low and medium UI regions. More diversified woody plants species, and afforested areas should be advocated in a low UI region, while in a heavy UI region, the conservation of large trees should be implemented. Our results highlight that the implementation of urban forest management should vary according to different urbanization regions to maximize ecological services.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11252-019-00850-0", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1050124", 
            "issn": [
              "1083-8155", 
              "1573-1642"
            ], 
            "name": "Urban Ecosystems", 
            "type": "Periodical"
          }
        ], 
        "name": "Perimeter-area ratio effects of urbanization intensity on forest characteristics, landscape patterns and their associations in Harbin City, Northeast China", 
        "pagination": "1-12", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11252-019-00850-0"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "486cb0a6292be9c38e80f0c38e9237ad025e6ab567d38cc994a43da734d0fd96"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1113199816"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11252-019-00850-0", 
          "https://app.dimensions.ai/details/publication/pub.1113199816"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-15T09:25", 
        "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/v90/0000000376_0000000376/records_56191_00000006.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs11252-019-00850-0"
      }
    ]
     

    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/s11252-019-00850-0'

    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/s11252-019-00850-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11252-019-00850-0'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11252-019-00850-0'


     

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

    315 TRIPLES      21 PREDICATES      89 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11252-019-00850-0 schema:about anzsrc-for:07
    2 anzsrc-for:0705
    3 schema:author N32a97bf3940944639a1d06714b69e0c4
    4 schema:citation sg:pub.10.1007/978-94-007-7088-1_6
    5 sg:pub.10.1007/978-94-015-7358-0
    6 sg:pub.10.1007/s10531-005-0598-6
    7 sg:pub.10.1007/s10980-010-9523-9
    8 sg:pub.10.1007/s10980-013-9912-y
    9 sg:pub.10.1007/s11252-013-0319-y
    10 sg:pub.10.1007/s11252-015-0473-5
    11 sg:pub.10.1007/s11252-019-0823-9
    12 sg:pub.10.1007/s11368-019-02266-x
    13 sg:pub.10.1007/s11676-015-0144-7
    14 sg:pub.10.1007/s11676-015-0158-1
    15 sg:pub.10.1007/s11676-016-0300-8
    16 sg:pub.10.1007/s11676-016-0353-8
    17 sg:pub.10.1007/s11676-017-0370-2
    18 sg:pub.10.1007/s11676-017-0480-x
    19 sg:pub.10.1007/s11676-017-0583-4
    20 sg:pub.10.1007/s11676-018-0771-x
    21 sg:pub.10.1007/s11676-018-0807-2
    22 https://doi.org/10.1016/0022-5193(66)90013-0
    23 https://doi.org/10.1016/j.apgeog.2010.10.008
    24 https://doi.org/10.1016/j.biocon.2006.02.019
    25 https://doi.org/10.1016/j.chnaes.2017.02.013
    26 https://doi.org/10.1016/j.ecocom.2010.03.002
    27 https://doi.org/10.1016/j.ecolind.2007.06.001
    28 https://doi.org/10.1016/j.ecolind.2012.04.012
    29 https://doi.org/10.1016/j.ecolind.2012.07.018
    30 https://doi.org/10.1016/j.ecolind.2014.02.007
    31 https://doi.org/10.1016/j.ecolind.2015.08.015
    32 https://doi.org/10.1016/j.ecolind.2017.05.042
    33 https://doi.org/10.1016/j.envres.2017.11.038
    34 https://doi.org/10.1016/j.foreco.2017.08.047
    35 https://doi.org/10.1016/j.jenvman.2017.07.065
    36 https://doi.org/10.1016/j.jenvman.2018.07.047
    37 https://doi.org/10.1016/j.jfe.2017.04.004
    38 https://doi.org/10.1016/j.landurbplan.2009.07.002
    39 https://doi.org/10.1016/j.landurbplan.2016.05.003
    40 https://doi.org/10.1016/j.landurbplan.2017.03.008
    41 https://doi.org/10.1016/j.scitotenv.2017.06.218
    42 https://doi.org/10.1016/j.tree.2011.08.006
    43 https://doi.org/10.1016/j.ufug.2013.02.001
    44 https://doi.org/10.1016/j.ufug.2015.03.008
    45 https://doi.org/10.1016/j.ufug.2015.11.003
    46 https://doi.org/10.1016/j.ufug.2016.07.013
    47 https://doi.org/10.1016/j.ufug.2017.01.004
    48 https://doi.org/10.1016/j.ufug.2018.09.008
    49 https://doi.org/10.1046/j.1365-2699.1996.00033.x
    50 https://doi.org/10.1063/1.3067010
    51 https://doi.org/10.1080/00330120902742920
    52 https://doi.org/10.1111/geb.12486
    53 https://doi.org/10.1111/j.1600-0706.2009.17860.x
    54 https://doi.org/10.14358/pers.76.5.557
    55 https://doi.org/10.14358/pers.81.8.615
    56 https://doi.org/10.1579/08-a-490.1
    57 https://doi.org/10.2134/jeq2015.11.0567
    58 https://doi.org/10.3390/f10010058
    59 https://doi.org/10.3390/f4040868
    60 https://doi.org/10.3390/f7090200
    61 https://doi.org/10.3390/f8040130
    62 https://doi.org/10.3832/ifor2466-010
    63 https://doi.org/10.3843/susdev.15.4:12
    64 https://doi.org/10.4028/www.scientific.net/amr.1065-1069.2814
    65 https://doi.org/10.4337/9781783478996.00014
    66 https://doi.org/10.5846/stxb201603080412
    67 https://doi.org/10.7717/peerj.5450
    68 https://doi.org/10.7717/peerj.5825
    69 schema:datePublished 2019-04-02
    70 schema:datePublishedReg 2019-04-02
    71 schema:description To maximize the ecological services of urban forests, a better understanding of the effects of urbanization on urban forest characteristics, landscape metrics, and their associations is needed for landscape-related regulations in space-limited green infrastructure of metropolitan regions. In this study, Harbin, a typical fast-growing provincial-capital city in Northeast China, is used as a case study. Based on remote sensing images, field surveys, and correlation and variation partitioning analyses, we conclude that landscape characteristics and forest attributes have large variations among different urbanization intensity (UI) regions. Forest patch density (PD), landscape shape index, woody plants species richness, and the Shannon–Wiener index (H′) increased linearly, while stem section area and tree height decreased linearly with the increasing of UIs. UI had a greater influence on tree size and forest community attributes than the forest landscape pattern. Accordingly, any landscape regulation on forest attributes should be implemented according to UIs. In addition, Euclidean nearest neighbor distance(ENN-MN), mean perimeter-area ratio (PARA-MN), fractal dimension index(FRAC-MN), and PD could probably indicate forest attributes the most, e.g., the increase of PARA-MN may be accompanied with taller trees in low and heavy UI regions, but lower woody plants species evenness in low and medium UI regions. More diversified woody plants species, and afforested areas should be advocated in a low UI region, while in a heavy UI region, the conservation of large trees should be implemented. Our results highlight that the implementation of urban forest management should vary according to different urbanization regions to maximize ecological services.
    72 schema:genre research_article
    73 schema:inLanguage en
    74 schema:isAccessibleForFree false
    75 schema:isPartOf sg:journal.1050124
    76 schema:name Perimeter-area ratio effects of urbanization intensity on forest characteristics, landscape patterns and their associations in Harbin City, Northeast China
    77 schema:pagination 1-12
    78 schema:productId N05b75c0516e44a82995b7ad8dc317e33
    79 N3321e20aed144f3daf2d9e9958c7800d
    80 Nafb49ef672dd4232be0bc168fe586032
    81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113199816
    82 https://doi.org/10.1007/s11252-019-00850-0
    83 schema:sdDatePublished 2019-04-15T09:25
    84 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    85 schema:sdPublisher Ndcb190325d944d6aa893f45e56572abb
    86 schema:url https://link.springer.com/10.1007%2Fs11252-019-00850-0
    87 sgo:license sg:explorer/license/
    88 sgo:sdDataset articles
    89 rdf:type schema:ScholarlyArticle
    90 N05b75c0516e44a82995b7ad8dc317e33 schema:name dimensions_id
    91 schema:value pub.1113199816
    92 rdf:type schema:PropertyValue
    93 N2c36c393945d42bd8a5b5df29013cb0d schema:affiliation https://www.grid.ac/institutes/grid.412246.7
    94 schema:familyName Yang
    95 schema:givenName Yanbo
    96 rdf:type schema:Person
    97 N32a97bf3940944639a1d06714b69e0c4 rdf:first N6c973fe0ce8b4cbc9443f6447e856a27
    98 rdf:rest Ne6d41892b1a74ee79ffe69a0e74ddea9
    99 N3321e20aed144f3daf2d9e9958c7800d schema:name doi
    100 schema:value 10.1007/s11252-019-00850-0
    101 rdf:type schema:PropertyValue
    102 N446ad345512a406ea78561f9c1022476 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
    103 schema:familyName He
    104 schema:givenName Xingyuan
    105 rdf:type schema:Person
    106 N59953ff1540445a381370fa034de329c schema:affiliation https://www.grid.ac/institutes/grid.412246.7
    107 schema:familyName Zhang
    108 schema:givenName Jianyu
    109 rdf:type schema:Person
    110 N6c973fe0ce8b4cbc9443f6447e856a27 schema:affiliation https://www.grid.ac/institutes/grid.458493.7
    111 schema:familyName Lv
    112 schema:givenName Hailiang
    113 rdf:type schema:Person
    114 N7cedf3c5bab64e55a381a9e744cfd8e7 rdf:first N59953ff1540445a381370fa034de329c
    115 rdf:rest Nfddab2fc06984d8aa465232db50cd834
    116 N82a4eab3b0e54abdacae06c677edac1c schema:affiliation https://www.grid.ac/institutes/grid.412246.7
    117 schema:familyName Du
    118 schema:givenName Hongju
    119 rdf:type schema:Person
    120 Nab904c73a18646e6b26e623a6e5438bf schema:affiliation https://www.grid.ac/institutes/grid.440663.3
    121 schema:familyName Zhang
    122 schema:givenName Dan
    123 rdf:type schema:Person
    124 Nafb49ef672dd4232be0bc168fe586032 schema:name readcube_id
    125 schema:value 486cb0a6292be9c38e80f0c38e9237ad025e6ab567d38cc994a43da734d0fd96
    126 rdf:type schema:PropertyValue
    127 Nbdc321359534492f902d1fa003c86059 schema:affiliation https://www.grid.ac/institutes/grid.458493.7
    128 schema:familyName Wang
    129 schema:givenName Wenjie
    130 rdf:type schema:Person
    131 Nc3653cfad1684d398f8e6f3aba8bf86c rdf:first N446ad345512a406ea78561f9c1022476
    132 rdf:rest rdf:nil
    133 Nd805fe91c2cd4886bc946c3d9c6fe317 rdf:first N82a4eab3b0e54abdacae06c677edac1c
    134 rdf:rest N7cedf3c5bab64e55a381a9e744cfd8e7
    135 Ndcb190325d944d6aa893f45e56572abb schema:name Springer Nature - SN SciGraph project
    136 rdf:type schema:Organization
    137 Ne4be000f930f44f3bb150fa8e643f29a rdf:first Nab904c73a18646e6b26e623a6e5438bf
    138 rdf:rest Nd805fe91c2cd4886bc946c3d9c6fe317
    139 Ne6d41892b1a74ee79ffe69a0e74ddea9 rdf:first N2c36c393945d42bd8a5b5df29013cb0d
    140 rdf:rest Ne4be000f930f44f3bb150fa8e643f29a
    141 Nfddab2fc06984d8aa465232db50cd834 rdf:first Nbdc321359534492f902d1fa003c86059
    142 rdf:rest Nc3653cfad1684d398f8e6f3aba8bf86c
    143 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    144 schema:name Agricultural and Veterinary Sciences
    145 rdf:type schema:DefinedTerm
    146 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
    147 schema:name Forestry Sciences
    148 rdf:type schema:DefinedTerm
    149 sg:journal.1050124 schema:issn 1083-8155
    150 1573-1642
    151 schema:name Urban Ecosystems
    152 rdf:type schema:Periodical
    153 sg:pub.10.1007/978-94-007-7088-1_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040989085
    154 https://doi.org/10.1007/978-94-007-7088-1_6
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/978-94-015-7358-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022132261
    157 https://doi.org/10.1007/978-94-015-7358-0
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s10531-005-0598-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016319894
    160 https://doi.org/10.1007/s10531-005-0598-6
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s10980-010-9523-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015033255
    163 https://doi.org/10.1007/s10980-010-9523-9
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/s10980-013-9912-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1018060972
    166 https://doi.org/10.1007/s10980-013-9912-y
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1007/s11252-013-0319-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1031606192
    169 https://doi.org/10.1007/s11252-013-0319-y
    170 rdf:type schema:CreativeWork
    171 sg:pub.10.1007/s11252-015-0473-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050275064
    172 https://doi.org/10.1007/s11252-015-0473-5
    173 rdf:type schema:CreativeWork
    174 sg:pub.10.1007/s11252-019-0823-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111650912
    175 https://doi.org/10.1007/s11252-019-0823-9
    176 rdf:type schema:CreativeWork
    177 sg:pub.10.1007/s11368-019-02266-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1111916167
    178 https://doi.org/10.1007/s11368-019-02266-x
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1007/s11676-015-0144-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026743851
    181 https://doi.org/10.1007/s11676-015-0144-7
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1007/s11676-015-0158-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006653365
    184 https://doi.org/10.1007/s11676-015-0158-1
    185 rdf:type schema:CreativeWork
    186 sg:pub.10.1007/s11676-016-0300-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001601820
    187 https://doi.org/10.1007/s11676-016-0300-8
    188 rdf:type schema:CreativeWork
    189 sg:pub.10.1007/s11676-016-0353-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027496889
    190 https://doi.org/10.1007/s11676-016-0353-8
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1007/s11676-017-0370-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083426139
    193 https://doi.org/10.1007/s11676-017-0370-2
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s11676-017-0480-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1091817457
    196 https://doi.org/10.1007/s11676-017-0480-x
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s11676-017-0583-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100114768
    199 https://doi.org/10.1007/s11676-017-0583-4
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s11676-018-0771-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1105927475
    202 https://doi.org/10.1007/s11676-018-0771-x
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s11676-018-0807-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107185292
    205 https://doi.org/10.1007/s11676-018-0807-2
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1016/0022-5193(66)90013-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046857122
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1016/j.apgeog.2010.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042418891
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1016/j.biocon.2006.02.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013197657
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1016/j.chnaes.2017.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090590115
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1016/j.ecocom.2010.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051927466
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1016/j.ecolind.2007.06.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043901455
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1016/j.ecolind.2012.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039325688
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1016/j.ecolind.2012.07.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045440959
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1016/j.ecolind.2014.02.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005242479
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1016/j.ecolind.2015.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017771921
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1016/j.ecolind.2017.05.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085576175
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1016/j.envres.2017.11.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099607621
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1016/j.foreco.2017.08.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091495503
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1016/j.jenvman.2017.07.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090992943
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1016/j.jenvman.2018.07.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105768508
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1016/j.jfe.2017.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085751745
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1016/j.landurbplan.2009.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024540797
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1016/j.landurbplan.2016.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009833553
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1016/j.landurbplan.2017.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084849406
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1016/j.scitotenv.2017.06.218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090695149
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1016/j.tree.2011.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042526393
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1016/j.ufug.2013.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007113454
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1016/j.ufug.2015.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029270847
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1016/j.ufug.2015.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037045389
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1016/j.ufug.2016.07.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003046510
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1016/j.ufug.2017.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074240452
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1016/j.ufug.2018.09.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107128343
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1046/j.1365-2699.1996.00033.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050776548
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1063/1.3067010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057907404
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1080/00330120902742920 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026345410
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1111/geb.12486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042469782
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1111/j.1600-0706.2009.17860.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030005588
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.14358/pers.76.5.557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022164614
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.14358/pers.81.8.615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012879140
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1579/08-a-490.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044045767
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.2134/jeq2015.11.0567 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069011540
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.3390/f10010058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111397707
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.3390/f4040868 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037847960
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.3390/f7090200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003488389
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.3390/f8040130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084965850
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.3832/ifor2466-010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100910862
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.3843/susdev.15.4:12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034161536
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.4028/www.scientific.net/amr.1065-1069.2814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022899616
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.4337/9781783478996.00014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045284796
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.5846/stxb201603080412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085792567
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.7717/peerj.5450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106194406
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.7717/peerj.5825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107908936
    300 rdf:type schema:CreativeWork
    301 https://www.grid.ac/institutes/grid.410726.6 schema:alternateName University of Chinese Academy of Sciences
    302 schema:name Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, People’s Republic of China
    303 University of Chinese Academy of Sciences, 100049, Beijing, People’s Republic of China
    304 rdf:type schema:Organization
    305 https://www.grid.ac/institutes/grid.412246.7 schema:alternateName Northeast Forestry University
    306 schema:name Northeast Forestry University, 150040, Harbin, People’s Republic of China
    307 rdf:type schema:Organization
    308 https://www.grid.ac/institutes/grid.440663.3 schema:alternateName Changchun University
    309 schema:name Changchun University, 130022, Changchun, People’s Republic of China
    310 Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, People’s Republic of China
    311 rdf:type schema:Organization
    312 https://www.grid.ac/institutes/grid.458493.7 schema:alternateName Northeast Institute of Geography and Agroecology
    313 schema:name Northeast Forestry University, 150040, Harbin, People’s Republic of China
    314 Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 130102, Changchun, People’s Republic of China
    315 rdf:type schema:Organization
     




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


    ...