Land management to reconcile ecosystem services supply and demand mismatches—A case study in Shanghai municipality, China
Bibliographic Data
City managers need to understand how land use and land cover (LULC) change in an urban landscape can affect future land degradation and conditions for ecosystem services (ESs) supply and demand. Optimal land use and land management requires explicit spatial mapping of ESs supply and demand under alternative land use scenarios. In this study, we applied spatially explicit models to predict changes in ESs supply and demand, and their coupling mechanisms, under one baseline scenario and three stakeholder‐defined LULC change scenarios (developed, planning, policy) in Shanghai municipality, China. The results suggest that the policy scenario could significantly increase ESs supply and restore degraded urban areas, but would not guarantee that supply meets demand for four key ESs tested: water retention, particulate matter removal, carbon sequestration, and recreation. However, the policy scenario significantly reduced the shortfalls and spatial mismatches in water retention, particulate matter removal and recreation services, and also greatly restored deficit areas for all four ESs. This is valuable scientific evidence that ESs supply and demand information can be incorporated into urban land management planning in a spatially explicit manner, in order to control or prevent future potential land degradation
Business · Civil engineering · Demand management · Economics · Ecosystem · Ecosystem services · Environmental economics · Environmental planning · Environmental resource management · Land degradation · Land management · Land use · Natural resource economics · Recreation · Spatial planning · Supply and demand · Economic and Environmental Valuation · Engineering · Environmental Science · Land Use and Ecosystem Services · Urban Green Space and Health
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Integrating ecosystem-service tradeoffs into land-use decisions
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Notes from the field
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |