Using SPOT data and FRAGSTAS to analyze the relationship between plant diversity and green space landscape patterns in the tropical coastal city of Zhanjiang, China

Xia-Lan CHENG, Mir Muhammad NIZAMANI, Chi Yung JIM, Kelly BALFOUR, Liang-Jun DA, Salman QURESHI, Zhi-Xin ZHU, Hua-Feng WANG

Research output: Contribution to journalArticlespeer-review

Abstract

Urban green spaces provide a host of ecosystem services, the quantity and structure of which play an important role in human well-being. Rapid urbanization may modify urban green spaces, having various effects on plant diversity. Tropical coastal cities have urbanized rapidly in recent decades, but few studies have been conducted with a focus on their green spaces. We studied the responses of cultivated and spontaneous plants, both key components of urban flora, to the landscape structure of urban green spaces and possible social drivers. We analyzed existing relationships between plant diversity indices, urban green space landscape metrics (using Systeme Probatoire d’Observation de la Terre (SPOT) data,), and social factors, including the type, population density, construction age, and GPS coordinates of each Urban Functional Unit, or UFU. We found that UFUs with more green space patches had higher cultivated and spontaneous species richness than those with fewer green space patches. Spontaneous species richness decreased when green space patches became fragmented, and it increased when green space patches were more connected (e.g., via land bridges). Conversely, cultivated species richness increased with green space patch fragmentation. The phylogenetic diversity of both cultivated and spontaneous plants were weakly associated with green space structure, which was strongly driven by land use. Old UFUs and those with larger populations had more green space patches overall, although they tended to be small and fragmented. Green space patch density was found to increase as the UFU age increased. From the viewpoint of knowledge transfer, understanding the effects and drivers of landscape patterns of urban green spaces could inform the development of improved policies and management of urban green space areas. Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Original languageEnglish
Article number3477
JournalRemote Sensing
Volume12
Issue number21
Early online date22 Oct 2020
DOIs
Publication statusPublished - 01 Nov 2020

Citation

Cheng, X.-L., Nizamani, M. M., Jim, C.Y., Balfour, K., Da, L.-J., Qureshi, S., . . . Wang, H.-F. (2020). Using SPOT data and FRAGSTAS to analyze the relationship between plant diversity and green space landscape patterns in the tropical coastal city of Zhanjiang, China. Remote Sensing, 12(21). Retrieved from https://doi.org/10.3390/rs12213477

Keywords

  • Urban green space
  • Landscape pattern
  • Social factor
  • Plant diversity
  • Spontaneous plant
  • Cultivated plant

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