Spatiotemporal Evolution of Ecosystem Service Value and Its Tradeoffs and Synergies in the Liaoning Coastal Economic Belt

Lina Ke, Qingli Jiang (), Lei Wang, Yao Lu, Yu Zhao and Quanming Wang
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Lina Ke: School of Geographical Science, Liaoning Normal University, Dalian 116029, China
Qingli Jiang: School of Geographical Science, Liaoning Normal University, Dalian 116029, China
Lei Wang: School of Geographical Science, Liaoning Normal University, Dalian 116029, China
Yao Lu: School of Geographical Science, Liaoning Normal University, Dalian 116029, China
Yu Zhao: School of Geographical Science, Liaoning Normal University, Dalian 116029, China
Quanming Wang: National Marine Environmental Monitoring Center, Dalian 116023, China

Sustainability, 2025, vol. 17, issue 12, 1-20

Abstract: As ecologically sensitive interfaces shaped by the interplay of land and sea, coastal zones demand close attention. Uncovering the spatiotemporal evolution of ecosystem service value (ESV) and the intricate interrelations among ecosystem service (ES) functions is imperative for the informed governance of human–land interactions and for fostering sustainable regional development. This study analyzes the spatiotemporal evolution of ESV based on the modified equivalent factor table, combining the Geo-information Tupu, Markov transfer model, and standard deviation ellipse. Additionally, we introduce an ecosystem service tradeoff degree (ESTD) to assess the tradeoffs and synergies among various ESs, and we utilize GeoDetector to elucidate the driving forces behind the spatial disparities in ESV. Our findings reveal that (1) Although the land use composite index in the Liaoning coastal economic belt (LCEB) increased, the pace of land use transformation demonstrated a trend toward stabilization over the study duration. (2) Between 2000 to2020, ESV initially declined but subsequently experienced an upward rebound, resulting in a net gain of approximately 48 billion yuan. Spatial analysis indicated continuous enlargement of the standard deviation ellipse, with its centroid consistently located within Yingkou City and a gradual directional shift toward the southwest. (3) The dominant relationship among ESs showed synergy, with notable tradeoffs between hydrological regulation and other services. (4) Topography and climate factors were the primary drivers of spatial heterogeneity of ESV in the LCEB. The research provides spatial decision support for optimizing the ecological security pattern of the coastal zone.

Keywords: ecosystem service value; Geo-information Tupu; ecosystem service tradeoff degree (ESTD); drivers; Liaoning coastal economic belt (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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