Exploring the Spatial Pattern of Urban Forest Ecosystem Services based on i-Tree Eco and Spatial Interpolation: A Case Study of Kyoto City, Japan.

Urban forest, as an essential urban green infrastructure, is critical in providing ecosystem services to cities. To enhance the mainstreaming of ecosystem services in urban planning, it is necessary to explore the spatial pattern of urban forest ecosystem services in cities. This study provides a wo...

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Publicado en:Environmental Management Vol. 72; no. 5; pp. 991 - 1006
Autores principales: Xie, Yusong, Hirabayashi, Satoshi, Hashimoto, Shizuka, Shibata, Shozo, Kang, Jiefeng
Formato: Journal Article
Publicado: Springer Nature Nov2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2023
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00267-023-01847-4
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        atl: Exploring the Spatial Pattern of Urban Forest Ecosystem Services based on i-Tree Eco and Spatial Interpolation: A Case Study of Kyoto City, Japan.
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        au:
          Xie, Yusong
          Hirabayashi, Satoshi
          Hashimoto, Shizuka
          Shibata, Shozo
          Kang, Jiefeng
        affil: https://ror.org/02kpeqv85 Graduate School of Agriculture, Kyoto University, Kyoto, Japan
      sug:
      ab: Urban forest, as an essential urban green infrastructure, is critical in providing ecosystem services to cities. To enhance the mainstreaming of ecosystem services in urban planning, it is necessary to explore the spatial pattern of urban forest ecosystem services in cities. This study provides a workflow for urban forest planning based on field investigation, i-Tree Eco, and geostatistical interpolation. Firstly, trees across an array of land use types were investigated using a sampling method. Then i-Tree Eco was applied to quantify ecosystem services and ecosystem service value in each plot. Based on the ecosystem services estimates for plots, four interpolation methods were applied and compared by cross-validation. The Empirical Bayesian Kriging was determined as the best interpolation method with higher prediction accuracy. With the results of Empirical Bayesian Kriging, this study compared urban forest ecosystem services and ecosystem service value across land use types. The spatial correlations between ecosystem service value and four types of point of interest in urban places were explored using the bivariate Moran's I statistic and the bivariate local indicators of spatial association. Our results show that the residential area in the built-up area of Kyoto city had higher species richness, tree density, ecosystem services, and total ecosystem service value. Positive spatial correlations were found between ecosystem service value and the distribution of urban space types including the tourist attraction distribution, urban park distribution, and school distribution. This study provides a specific ecosystem service-oriented reference for urban forest planning based on land use and urban space types.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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