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2020-07-09Zeitschriftenartikel DOI: 10.18452/21607
An Integrated Approach to Study Spatial Patterns and Drivers of Land Cover Within Urban Functional Units: A Multi-City Comparative Study in China
dc.contributor.authorWang, Huafeng
dc.contributor.authorCheng, Xia-Lan
dc.contributor.authorNizamani, Mir Muhammad
dc.contributor.authorBalfour, Kelly
dc.contributor.authorDa, Liangjun
dc.contributor.authorZhu, Zhi-Xin
dc.contributor.authorQureshi, Salman
dc.date.accessioned2020-07-13T07:49:55Z
dc.date.available2020-07-13T07:49:55Z
dc.date.issued2020-07-09none
dc.identifier.urihttp://edoc.hu-berlin.de/18452/22320
dc.description.abstractUnderstanding the factors that drive green space composition and richness in heterogeneous urban landscapes is critical for maintaining important ecosystem services and biodiversity. Few studies have been conducted on urban greening and plant diversity at the urban functional unit (UFU) level, although a handful of studies have explored the drivers of greening percentage and its relationships with plant richness in tropical cities. In this study, we conducted field surveys, compiled census and remote sensing data, and performed spatial analyses to investigate the interrelationship between greening percentages, plant diversity, and the socioeconomic variables of different primary and secondary UFUs in the cities of Beijing, Zhanjiang, and Haikou in China. We found that these relationships did not differ significantly between primary and secondary UFUs, and that Parks represented the largest areas of forested land, grassland, and water bodies across all three cities. Moreover, the greening percentages of all UFUs across these three cities were positively correlated with both socioeconomic variables and plant species richness. These relationships can be utilized to guide future green space planning within urban ecosystems.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectplant diversityeng
dc.subjectremote-sensing imageseng
dc.subjectsocioeconomiceng
dc.subjectsocio-ecological complexitieseng
dc.subjecturban ecologyeng
dc.subjecttropical areaeng
dc.subjecturban green spaceeng
dc.subjecturban greeningeng
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitennone
dc.titleAn Integrated Approach to Study Spatial Patterns and Drivers of Land Cover Within Urban Functional Units: A Multi-City Comparative Study in Chinanone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/22320-9
dc.identifier.doihttp://dx.doi.org/10.18452/21607
dc.type.versionpublishedVersionnone
local.edoc.pages19none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn2072-4292
dcterms.bibliographicCitation.doi10.3390/rs12142201
dcterms.bibliographicCitation.journaltitleRemote sensingnone
dcterms.bibliographicCitation.volume12none
dcterms.bibliographicCitation.issue14none
dcterms.bibliographicCitation.articlenumber2201none
dcterms.bibliographicCitation.originalpublishernameMDPInone
dcterms.bibliographicCitation.originalpublisherplaceBaselnone
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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