Spatiotemporal dynamic and synergistic patterns of water yield and soil conservation services in Shandong Province: Insights from a twenty-year evaluation

Water yield and soil conservation are critical ecosystem services that support regional ecological security and human well-being. However, long-term fine-scale assessments of their spatiotemporal dynamics and interactions remain limited, particularly in erosion- and water-stressed regions. This study evaluates these services in Shandong Province (2000–2019) using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) water balance model and Revised Universal Soil Loss Equation (RUSLE), parameterized with remote sensing, meteorological, and soil datasets. Pixel-level analyses were used to assess quantity, seasonality, and monotonic trends using the seasonal Mann‒Kendall test. The mean annual water yield was 143.49 mm (SD=96.70 mm), and the mean annual soil conservation capacity was 5,272.80 t/km 2 (SD=413.31 t/km 2 ). Forests exhibited higher per-unit capacity than croplands and grasslands, though their limited spatial extent reduced overall contributions. Significant monotonic declines in water yield (10.5% of the province) were observed, primarily in the central and eastern regions, contributing to an overall decreasing trend. Conversely, soil conservation declined in only 4.5% of the area. A robust synergy between services was observed from pixel-wise Theil-Sen regression analysis, with ∼27% of the area showing stable covariation (R 2 >0.30). Spatially explicit identification of degradation hotspots supports targeted ecological restoration, particularly in coastal and hilly regions that observed significant water yield declines. Future management needs a policy adjustment from general soil stabilization toward water yield enhancement and their co-provision optimization. This fine-scale, decadal analysis advances methodologies for coupled service assessment while providing actionable insights for balancing soil-water conservation in rapidly developing regions. • Monthly WY and SC were evaluated across Shandong Province during 2000-2019 • Variability, trend, and seasonality were illustrated at provincial and pixel levels • Hydrologically vulnerable areas primarily clustered in intensive farming regions • Robust synergistic coupling between WY and SC in the central and southeast parts

Authors

Institutions

Publication Details

Journal
Environmental and Sustainability Indicators
Published
2025-11-25
DOI
https://doi.org/10.1016/j.indic.2025.101051
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal dynamic and synergistic patterns of water yield and soil conservation services in Shandong Province: Insights from a twenty-year evaluation

Jinyue Chen, Lei Fang, Zailin Huo, Shilong Ren et al.
Environmental and Sustainability Indicators
Land Use and Ecosystem Services
article

Spatiotemporal dynamic and synergistic patterns of water yield and soil conservation services in Shandong Province: Insights from a twenty-year evaluation

Jinyue Chen, Lei Fang, Zailin Huo, Shilong Ren, Xuan Li, Cuimei Lv, Guoqiang Wang, Yi Li, Zile Han, Guangyu Lv, Yanbo Peng
article en

Abstract

Water yield and soil conservation are critical ecosystem services that support regional ecological security and human well-being. However, long-term fine-scale assessments of their spatiotemporal dynamics and interactions remain limited, particularly in erosion- and water-stressed regions. This study evaluates these services in Shandong Province (2000–2019) using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) water balance model and Revised Universal Soil Loss Equation (RUSLE), parameterized with remote sensing, meteorological, and soil datasets. Pixel-level analyses were used to assess quantity, seasonality, and monotonic trends using the seasonal Mann‒Kendall test. The mean annual water yield was 143.49 mm (SD=96.70 mm), and the mean annual soil conservation capacity was 5,272.80 t/km 2 (SD=413.31 t/km 2 ). Forests exhibited higher per-unit capacity than croplands and grasslands, though their limited spatial extent reduced overall contributions. Significant monotonic declines in water yield (10.5% of the province) were observed, primarily in the central and eastern regions, contributing to an overall decreasing trend. Conversely, soil conservation declined in only 4.5% of the area. A robust synergy between services was observed from pixel-wise Theil-Sen regression analysis, with ∼27% of the area showing stable covariation (R 2 >0.30). Spatially explicit identification of degradation hotspots supports targeted ecological restoration, particularly in coastal and hilly regions that observed significant water yield declines. Future management needs a policy adjustment from general soil stabilization toward water yield enhancement and their co-provision optimization. This fine-scale, decadal analysis advances methodologies for coupled service assessment while providing actionable insights for balancing soil-water conservation in rapidly developing regions. • Monthly WY and SC were evaluated across Shandong Province during 2000-2019 • Variability, trend, and seasonality were illustrated at provincial and pixel levels • Hydrologically vulnerable areas primarily clustered in intensive farming regions • Robust synergistic coupling between WY and SC in the central and southeast parts

Environmental and Sustainability IndicatorsVol. 28
Commercial Aircraft Corporation of China (China) (CN), Shandong University (CN), Beijing Normal University (CN), Shandong Academy of Environmental Science (CN)
Openalex Percentile: Top 66%
Land Use and Ecosystem Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.