Study on the Spatial Relationship Between Landscape Recreation Service Demand and Urbanization – A Case Study in Shanghai

Bing, Zhenhua

doi:10.15666/aeer/1704_75357548

Cited by 1 publication

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, we examined the suitability for the ES interactions using the global Moran's I. The p-value of the global Moran's I represents the probability of this trend occurring, and the Z-score is a multiple of the standard deviation [40]. According to the test standards (Table S2), the six ES pairs from 1990 to 2020 all passed the significance test with high degree of confidence (Table S3).…”

Section: Spatially Explicit Analysis On Es Interactionsmentioning

confidence: 99%

Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration

Li,

Ren,

et al. 2024

Land

View full text Add to dashboard Cite

Large-scale vegetation restoration has caused complex changes in ecosystem service (i.e., ES) interactions. However, current analysis on the spatial interactions of ESs and their driving mechanisms remains deficient, limiting the adaptive management in vegetation restoration areas. This study focused on a representative restoration area (Yan’an) to analyze the relationships among carbon sequestration, water yield, baseflow regulation, and soil conservation from 1990 to 2020. Employing the bivariate boxplot and spatial autocorrelation methods, we identified the overall changes and spatial patterns of ES interactions. The geographically and temporally weighted regression (i.e., GTWR) model was applied to elucidate the driving factors of these spatial ES interactions. The results indicated the following: (1) Over the past three decades, synergies between carbon sequestration and water yield emerged as the joint results of spatial ‘low–low’ interactions and ‘high–high’ interactions between the two ESs, while other ES pairs generally exhibited comparatively weaker synergies, due to their spatial ‘low–high’ interactions in southern semi-humid areas. (2) In the northern semi-arid areas, both fractional vegetation cover (i.e., FVC) and climatic factors consistently exerted negative influences on all ‘low–low’ ES interactions, which caused a reduced area in synergies, while in the southern semi-humid areas, FVC suppressed the ‘low–high’ trade-offs between ESs, indicating the adaptability of grassland restoration efforts. (3) The impact of human activities on ES interactions has increased in the last 10 years, and exhibited positive effects on the ‘low–low’ ES interactions in northern semi-arid areas. However, the expansion of trade-off between soil conservation and carbon sequestration warrants attention. This study offers important insights into understanding the spatial interactions among carbon, water, and soil-related ESs in drylands.

show abstract

Section: Spatially Explicit Analysis On Es Interactionsmentioning

confidence: 99%

Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration

Li,

Ren,

et al. 2024

Land

View full text Add to dashboard Cite

show abstract

Study on the Spatial Relationship Between Landscape Recreation Service Demand and Urbanization – A Case Study in Shanghai

Abstract: Bing et al.: Study on the spatial relationship between landscape recreation service demand and urbanization -a case study in Shanghai -7535 -

Cited by 1 publication

References 14 publications

Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration

Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration

Contact Info

Product

Resources

About