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<p>Rapid urbanization in lake basins critically threatens ecosystem integrity, yet traditional metrics often fail to capture the micro-scale gradients of shoreline encroachment. To address this, we propose a Shore Spectrum Analysis (SSA) framework to decode the spatiotemporal evolution of construction land, applying it to China’s Poyang Lake (1985–2022). By transforming two-dimensional spatial distributions into one-dimensional density spectra, SSA quantifies the precise “distance-to-shore” gradient. Results reveal a distinct “Slow–Fast–Stable” trajectory with a 127.7% total expansion. Crucially, a structural shift occurred around 2000: the dominant pattern evolved from “Shore-Clustered” (&lt; 1&#xa0;km) to “Inland-Diffused” (2–5&#xa0;km), reflecting effective ecological policy interventions. Furthermore, SSA identified a “decoupling” trend: while urban development retreated from sensitive shorelines, rural settlements remained shore-dependent. These findings demonstrate that SSA offers superior granularity over traditional buffer analysis, providing a scientific basis for differentiated spatial zoning and sustainable watershed management.</p>

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Unveiling the distance-to-shore gradient of construction land: shore spectrum analysis for sustainable management of Poyang Lake

  • 期刊论文

  • 发表日期：

    2026年7月3日

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  • Teng Ma,
  • Wei Yan,
  • Jiaheng Wang,
  • Junfeng Ge,
  • Hui Zou,
  • Xuejun Duan

摘要

Rapid urbanization in lake basins critically threatens ecosystem integrity, yet traditional metrics often fail to capture the micro-scale gradients of shoreline encroachment. To address this, we propose a Shore Spectrum Analysis (SSA) framework to decode the spatiotemporal evolution of construction land, applying it to China’s Poyang Lake (1985–2022). By transforming two-dimensional spatial distributions into one-dimensional density spectra, SSA quantifies the precise “distance-to-shore” gradient. Results reveal a distinct “Slow–Fast–Stable” trajectory with a 127.7% total expansion. Crucially, a structural shift occurred around 2000: the dominant pattern evolved from “Shore-Clustered” (< 1 km) to “Inland-Diffused” (2–5 km), reflecting effective ecological policy interventions. Furthermore, SSA identified a “decoupling” trend: while urban development retreated from sensitive shorelines, rural settlements remained shore-dependent. These findings demonstrate that SSA offers superior granularity over traditional buffer analysis, providing a scientific basis for differentiated spatial zoning and sustainable watershed management.