Multi-Scale Gross Ecosystem Product (GEP) Valuation for Wetland Ecosystems: A Case Study of Lishui City

Traditional gross ecosystem product (GEP) accounting methods often operate at macro scales, failing to reflect the localized and nuanced values of wetland ecosystems. This study addresses these challenges by introducing a fine-grained classification system based on a localized adaptation of international standards. The framework integrates high-precision national land surveys and remote sensing quantitative analysis while incorporating fisheries resource models, climate regulation beneficiary mapping, and visitor interpolation to address data scarcity related to human activities. This approach refines the spatial calculation methods for functional quantity accounting at fine scales. The results demonstrate that the refined classification maintains consistency with traditional methods in total value while adapting to multi-scale accounting, filling gaps at small and medium scales and providing a more accurate representation of localized wetland characteristics. Additionally, the study highlights the dominance of cultural services in GEP, emphasizing the need to balance cultural and regulatory services to ensure fairness in decision-making. Finally, a village-scale decision-support model is proposed, offering actionable guidance for wetland management and sustainable development planning.

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Publication Details

Journal
Water
Published
2024-12-10
DOI
https://doi.org/10.3390/w16243554
Citations
2
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.57
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article

Multi-Scale Gross Ecosystem Product (GEP) Valuation for Wetland Ecosystems: A Case Study of Lishui City

Weiya Chen, Shuyue Zhou, Zhixin Zhu, Kai-Hua Wu et al.
2 citations
Water
Land Use and Ecosystem Services
0.57
article

Multi-Scale Gross Ecosystem Product (GEP) Valuation for Wetland Ecosystems: A Case Study of Lishui City

Weiya Chen, Shuyue Zhou, Zhixin Zhu, Kai-Hua Wu, Zhe Wang
article en
2 citations

Abstract

Traditional gross ecosystem product (GEP) accounting methods often operate at macro scales, failing to reflect the localized and nuanced values of wetland ecosystems. This study addresses these challenges by introducing a fine-grained classification system based on a localized adaptation of international standards. The framework integrates high-precision national land surveys and remote sensing quantitative analysis while incorporating fisheries resource models, climate regulation beneficiary mapping, and visitor interpolation to address data scarcity related to human activities. This approach refines the spatial calculation methods for functional quantity accounting at fine scales. The results demonstrate that the refined classification maintains consistency with traditional methods in total value while adapting to multi-scale accounting, filling gaps at small and medium scales and providing a more accurate representation of localized wetland characteristics. Additionally, the study highlights the dominance of cultural services in GEP, emphasizing the need to balance cultural and regulatory services to ensure fairness in decision-making. Finally, a village-scale decision-support model is proposed, offering actionable guidance for wetland management and sustainable development planning.

WaterVol. 16(24)
Lishui University (CN)
Openalex Percentile: Top 32%
Land Use and Ecosystem Services
0.57
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