1,284
Views
2
CrossRef citations to date
0
Altmetric
Original Research Paper

Ecosystem functions of confined-scale artificial tidal flats in urban areas in Japan: analysis of driving factors for function-based design

ORCID Icon, , , , & ORCID Icon
Pages 351-369 | Received 05 Nov 2020, Accepted 19 Apr 2021, Published online: 12 May 2021

Figures & data

Figure 1. Location of the two artificial tidal flats where research was conducted in Tokyo Bay: Shiosai Nagisa and Kawasaki Hama, denoted in the figure as SN and KH, respectively

Figure 1. Location of the two artificial tidal flats where research was conducted in Tokyo Bay: Shiosai Nagisa and Kawasaki Hama, denoted in the figure as SN and KH, respectively

Figure 2. Photos and monitoring stations at (a) Shiosai Nagisa and (b) Kawasaki Hama, and cross-sectional structure of (c) Shiosai Nagisa and (d) Kawasaki Hama. Photograph of (b) was downloaded from the Geospatial Information Authority of Japan (https://mapps.gsi.go.jp/)

Figure 2. Photos and monitoring stations at (a) Shiosai Nagisa and (b) Kawasaki Hama, and cross-sectional structure of (c) Shiosai Nagisa and (d) Kawasaki Hama. Photograph of (b) was downloaded from the Geospatial Information Authority of Japan (https://mapps.gsi.go.jp/)

Table 1. Definition of ecosystem functions and their indices. The reference indicates the 100-point value of ecosystem functions

Table 2. Mean value of the water quality at Shiosai Nagisa (SN) and Kawasaki Hama (KH) during survey period (FY 2014 to FY 2017). The value in parentheses indicates the minimum value – maximum value

Figure 3. Continuous measurement data of water qualities at St. SNW in (FY 2014): (a) Water temperature, (b) Salinity, (c) Dissolved oxygen, and (d) Chlorophyll Fluorescence

Figure 3. Continuous measurement data of water qualities at St. SNW in (FY 2014): (a) Water temperature, (b) Salinity, (c) Dissolved oxygen, and (d) Chlorophyll Fluorescence

Table 3. Mean value of the sediment quality at Shiosai Nagisa (SN) and Kawasaki Hama (HK) during survey period (FY 2014 to FY 2017). The value in parentheses indicates the minimum value – maximum value

Figure 4. Temporal variations of the species richness of benthos, wet weight of benthos, and chlorophyll-a on sediments at each station in Shiosai Nagisa and Kawasaki Hama

Figure 4. Temporal variations of the species richness of benthos, wet weight of benthos, and chlorophyll-a on sediments at each station in Shiosai Nagisa and Kawasaki Hama

Figure 5. Annual mean scores of ecosystem functions at each station in Shiosai Nagisa and Kawasaki Hama. Each Ecosystem function were evaluated using define in . The names of some ecosystem functions are abbreviations as below, Fisheries: Fisheries resource abundance, Organic matter: Organic matter consumption, Carbon: Sediment carbon accumulation and Microalgae: Microalgae abundance

Figure 5. Annual mean scores of ecosystem functions at each station in Shiosai Nagisa and Kawasaki Hama. Each Ecosystem function were evaluated using define in Table 1. The names of some ecosystem functions are abbreviations as below, Fisheries: Fisheries resource abundance, Organic matter: Organic matter consumption, Carbon: Sediment carbon accumulation and Microalgae: Microalgae abundance

Table 4. Estimated coefficients of each ecosystem function model using the hierarchical Bayesian model. The value in parentheses indicates the 95% credible interval. The values in bold font indicates the coefficient that does not include zero in the 95% credible interval

Figure 6. Visualized path analysis of the driving factors of ecosystem functions. The relationship between driving factors and ecosystem functions that do not include zero in the 95% credible interval is indicated by arrows. At the start of the arrow, the positive and negative directions of the coefficients are described, and on the line, the values of the coefficients are described. The arrows of the FNS and GCA to carbon storage are excluded because the carbon storage of FNS and GCA includes not only ecosystem functions but also manufacturing processes

Figure 6. Visualized path analysis of the driving factors of ecosystem functions. The relationship between driving factors and ecosystem functions that do not include zero in the 95% credible interval is indicated by arrows. At the start of the arrow, the positive and negative directions of the coefficients are described, and on the line, the values of the coefficients are described. The arrows of the FNS and GCA to carbon storage are excluded because the carbon storage of FNS and GCA includes not only ecosystem functions but also manufacturing processes