Land management to reconcile ecosystem services supply and demand mismatches—A case study in Shanghai municipality, China

Jiang, Bo; Bai, Yang; Chen, Junyu; Alatalo, Juha M.; Xu, Xiyan; Liu, Gang; Wang, Qing

doi:10.1002/ldr.3614

Cited by 38 publications

(29 citation statements)

References 59 publications

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“…Based on the photosynthesis and respiration data of the vegetation, 1.63 units of carbon can be sequestered, and 1.2 units of oxygen can be released for every unit of NPP accumulated by the vegetation [ 32 ]. The value of carbon sequestration and oxygen release services were calculated using Formulae (2) and (3).…”

Section: Methodsmentioning

confidence: 99%

Integrating Spatial Heterogeneity into an Analysis between Ecosystem Service Value and Its Driving Factors: A Case Study of Dalian, China

Zhao

Zeng-lin

Yan

et al. 2022

IJERPH

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Human demand for natural resources has grown, leading to ecological debasement and related ecological system administration. Using Dalian as an example, we estimated the changes in the ecosystem service value (ESV) in 2005 and 2020. We used ArcGIS and spatial statistics to conduct estimations and change analyses of the ESV. Based on the results of the ESV, the geographical detector and geographically weighted regression (GWR) elucidated the contributions of different driving factors of the ESV in a 2 km grid. In summary, these results indicated that: (1) from a holistic perspective, the ESV of Dalian fell by 206.8009 billion CNY over 15 years, and the hot spots were concentrated in both the northern and the western parts, whereas the cold spots were distributed in the central part; (2) according to the results from the geographical detector, land use structure factors influenced the ESV most significantly, followed by socio-economic factors, and the impact of natural factors was relatively small; and (3) according to the results of the GWR, land use structure factors negatively affected the ESV, and the positive impact of the proportion of the natural land area was the most obvious. We conclude that the decline in the ESV reflects the impact of human activities on the ecosystem in the studied landscape. Understanding ESV changes should be made a priority in ecosystem management, and evaluating ESV drivers can contribute to developing land use strategies for policy-making.

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Section: Methodsmentioning

confidence: 99%

Integrating Spatial Heterogeneity into an Analysis between Ecosystem Service Value and Its Driving Factors: A Case Study of Dalian, China

Zhao

Zeng-lin

Yan

et al. 2022

IJERPH

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“…For this reason, we could explain why only considering the potential supply of ES and restoration costs would result in priority areas being concentrated in Chongming District (Figure 4A). Specifically, recent studies have shown that ES supply was lower than human demand in Baoshan District and the central Pudong New Area due to anthropogenic impacts (e.g., huge demand for land resources on industrial, residential, and commercial development; Chen et al, 2019;Jiang et al, 2020;Shi et al, 2020). The restoration costs in the two districts were much higher than those in Chongming District, which can be attributed to the high opportunity costs represented by local high housing prices (SMSB and SONBS, 2017).…”

Section: Significance Of Incorporating Es Demand-supply Ratio Index I...mentioning

confidence: 99%

Identifying priority areas for tidal wetland restoration by integrating ecosystem services supply and demand mismatches

Shu

et al. 2022

Front. Mar. Sci.

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Governments and non-governmental organizations have widely recognized tidal wetland restoration as a sustainable instrument to lessen the threat of climate change, which is reflected by the expansion of the spatial scale of coastal restoration projects. However, approaches to large-scale spatial planning of tidal wetland restoration remain sparse. Previous studies on site selection for restoration planning have focused on the potential supply of ecosystem services (ES) or restoration feasibility with less emphasis on the mitigation of the status of regional ES supply and demand mismatches. We developed a five-step workflow based on systematic conservation planning to identify priority areas for tidal wetland restoration and applied it to the coastal reclaimed areas of Shanghai, China. With this workflow, we analyzed the changes in spatial distribution and the potential ecosystem services supply and restoration costs of priority areas between the two different scenarios of ES demand ignored and ES demand considered. Results showed that the potential restorable areas only accounted for 31.4% (425.2 km²) of the original reclaimed area because of other land use demands (e.g., permanent basic farmland conservation). We extracted 50% of the potential restorable areas as priority areas based on Aichi Target 15. Compared with the ES demand-ignored scenario, the ES demand scenario resulted in a substantial increase in the priority areas of Baoshan District (~177%) and Pudong New Area (~15%) and a small decrease in Chongming District (~4%). No significant change in the potential ES supply for all priority areas was observed between the two scenarios. However, the total restoration cost of the ES demand scenario is 10% higher than that of the ES demand-ignored scenario. Our study highlights the importance of considering the status of regional ES supply and demand (mis)matches in large-scale spatial planning for tidal wetland restoration.

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“…The continuous improvement of human well-being is the main objective for social development and the vision of human society [ 1 , 2 ]. Former research on human well-being mainly focused on economics, sociology, and social sciences, while the contribution of the ecological environment to human well-being has not received enough attention [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…As human demand for ESs affects the functioning of the whole ecosystem, the need for systematic management of ecosystem services can no longer be met by considering only the ESs supply [ 14 ]. Therefore, more scholars have become interested in the relationship between ESs supply and ESs demand [ 15 ], and they have conducted numerous theoretical [ 16 ], methodological [ 17 ], and practical studies [ 1 ]. Current research focuses on the supply and demand for services of a single ecosystem type, ranging from provision services [ 18 ] to regulating services [ 19 ] and cultural services [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…Current research focuses on the supply and demand for services of a single ecosystem type, ranging from provision services [ 18 ] to regulating services [ 19 ] and cultural services [ 20 ]. These studies on ESs supply-demand range in scale from small watershed studies to urban [ 1 ], regional [ 21 ], and national [ 22 ] case studies. They mostly focused on ES supply-demand at one particular moment [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

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Spatial-Temporal Patterns of Ecosystem Services Supply-Demand and Influencing Factors: A Case Study of Resource-Based Cities in the Yellow River Basin, China

Chang

et al. 2022

IJERPH

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The aim of this study was to reveal the spatiotemporal pattern of the supply and demand of ecosystem services (ESs), as well as the significant driving factors for understanding the impact of human activities on the natural ecosystem. To provide a scientific basis for formulating regional sustainable development strategies that enhance human well-being, resource-based cities in the Yellow River Basin (YRB) were selected as the case study. The supply and demand of ecosystem services in these cities from 2000 to 2020 were measured. The spatiotemporal evolution of the supply-demand relationship was illustrated by taking its coordination degree. In addition, geographical detector and geographically weighted regression (GWR) models were applied to quantify the spatiotemporally varying effects of natural and socioeconomic factors on the ES supply--demand relationship. The results showed that resource-based cities in the YRB were experiencing expansion in supply and demand overall, but the supply-demand relationship tended to be tense. The northwest YRB had higher coordination values of supply-demand, while lower values were found in the southeast YRB. Moreover, the relationship between supply and demand was significantly affected by natural and socioeconomic factors, such as elevation, slope, precipitation, land-use type, population density, and gross domestic product (GDP) per land. Furthermore, the GWR model suggested that the effects of driving factors on the supply-demand relationship had notable spatial heterogeneity. The coordination of ES supply-demand in the resource-based cities of southeast YRB was mainly influenced by socioeconomic factors, while that of the west YRB was mainly influenced by natural factors. Our study suggested that it is necessary to enhance the awareness of environmental protection, pay attention to ecological restoration, and avoid unreasonable human disturbance to the ecosystem.

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Land management to reconcile ecosystem services supply and demand mismatches—A case study in Shanghai municipality, China

Cited by 38 publications

References 59 publications

Integrating Spatial Heterogeneity into an Analysis between Ecosystem Service Value and Its Driving Factors: A Case Study of Dalian, China

Integrating Spatial Heterogeneity into an Analysis between Ecosystem Service Value and Its Driving Factors: A Case Study of Dalian, China

Identifying priority areas for tidal wetland restoration by integrating ecosystem services supply and demand mismatches

Spatial-Temporal Patterns of Ecosystem Services Supply-Demand and Influencing Factors: A Case Study of Resource-Based Cities in the Yellow River Basin, China

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