Shuangyun Peng

Dynamic stability and resilience of water conservation in the three-river headwaters region: Trajectory differentiation and causal mechanisms

Ruhan Jin, Shuangyun Peng, Xue Ding, Zhiqiang Lin et autres

Water conservation is a key ecosystem service of the Three-River Source region, the core area of the “Asian Water Tower”. Current studies on water conservation in alpine regions predominantly focus on static spatial patterns and overall driving analyses, while lacking systematic exploration …

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Impacts of Climate–Land Use Interactions and Topographic Thresholds on Nitrogen and Phosphorus Export Risks in Mountainous Watersheds: A Case Study in Yunnan, China.

Jiaying Zhu, Shuangyun Peng, Zhiqiang Lin, Juexian Dong et autres

Elucidating the drivers and risk evolution of nitrogen (N) and phosphorus (P) export is fundamental to non-point source (NPS) pollution management. However, existing research focuses primarily on factor contributions or statistical thresholds, often failing to translate attribution results and thresholds into spatial …

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Diagnosing ecological quality dynamics in a karst restoration belt: Trajectory instability, response breakpoints, and adaptive restoration implications

Zhiqiang Lin, Juexian Dong, Shuangyun Peng, Jiaying Zhu et autres

Topography-dependent nonlinear predictive relationships of water conservation revealed by explainable machine learning in the Three-River headwaters region

Ruhan Jin, Shuangyun Peng, Shihua Li, Erlin Jin et autres

Understanding the nonlinear predictive relationships of water conservation (WC) in alpine “water towers” is critical for realizing ecosystem adaptive management under global climate change. As “Water Tower of China”, the hydrological processes of the Three-River Headwaters Region (TRHR) are undergoing profound reshaping …

From scale conflict to coordination: Multi-scale spatiotemporal correlation of cultivated land conversion to non-agricultural uses and implications for adaptive land-use governance in mountainous Yunnan, China

Ting Li, Shuangyun Peng, Zhiqiang Lin, Jiaying Zhu et autres

Identifying factors associated with cultivated land non-agriculturalization (CLN) is essential for food security and sustainable development, yet most existing studies neglect spatiotemporal non-stationarity and scale dependence, limiting both theoretical understanding and policy precision. To address this gap, this study develops an integrated …

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A geo-domain constrained similarity framework for sample augmentation in landslide susceptibility mapping

Yuqian Yang, Jiayíng Zhu, Shuangyun Peng, Zhiqiang Lin et autres

Landslide susceptibility mapping (LSM) commonly relies on the assumption of geographical similarity. However, existing sample augmentation methods assume global similarity and often overlook regional differences in landslide-forming mechanisms, limiting model generalization in spatially heterogeneous mountainous regions. To address this gap, we proposed …

A geo-domain constrained similarity framework for sample augmentation in landslide susceptibility mapping

Yuqian Yang, Jiaying Zhu, Shuangyun Peng, Zhiqiang Lin et autres

Landslide susceptibility mapping (LSM) commonly relies on the assumption of geographical similarity. However, existing sample augmentation methods assume global similarity and often overlook regional differences in landslide-forming mechanisms, limiting model generalization in spatially heterogeneous mountainous regions. To address this gap, we proposed …

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A geo-domain constrained similarity framework for sample augmentation in landslide susceptibility mapping

Yuqian Yang, Jiayíng Zhu, Shuangyun Peng, Zhiqiang Lin et autres

Landslide susceptibility mapping (LSM) commonly relies on the assumption of geographical similarity. However, existing sample augmentation methods assume global similarity and often overlook regional differences in landslide-forming mechanisms, limiting model generalization in spatially heterogeneous mountainous regions. To address this gap, we proposed …

Scene-dependent associations between G–C–I corridor morphology and mixed-surface aggregated LST within Beijing's fifth ring road

Fucheng Cai, Shuangyun Peng, Wenguang Xiang, Juexian Dong et autres

Although the thermal associations of street geometry, vegetation, and development intensity have been widely investigated, existing evidence remains fragmented across individual indicators, spatial scales, and isolated seasonal or diurnal scenes. Consequently, planning-relevant corridor-scale frameworks that jointly classify these dimensions, examine their scene-dependent …

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WaveletUMamba: a frequency-enhanced state space model for extraction of multi-stage celery planting areas from UAV imagery

Rui Li, An Huang, Xue Ding, Shuangyun Peng et autres

In the task of extracting celery cultivation areas across different growth stages from high-resolution UAV remote sensing imagery, the original Mamba model exhibits a bias toward low-frequency information during state-space modeling and responds relatively poorly to high-frequency details such as boundaries and …

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寒温带森林火后恢复轨迹及其对气候因子的响应

Mengyun Yan, Shuangyun Peng, Fapeng Cai, 王伟航 et autres

目的准确评估火后植被恢复轨迹及其驱动机制对理解森林生态系统韧性至关重要，其中燃烧严重程度如何调节恢复过程对气候变化的敏感性尤为关键。方法基于Google Earth Engine （GEE）平台，利用2006—2024年Landsat时间序列数据与LandTrendr算法，系统解析了黑龙江嘎拉山林场2006年特大火灾后18 a的植被恢复过程。结果1）火后植被恢复整体呈“波动上升”趋势，NBR年均增长0.01，约10 a即超越灾前水平，展现了强大的生态系统韧性。所有燃烧区均在火后第1 a恢复至灾前80%水平（Y2R80=1），体现了极快的初期恢复速率。2）燃烧严重程度显著塑造了恢复路径。高燃烧区虽初期受损最重（ARI=-68%），但其长期恢复速率最快，表现出可能依赖先锋物种更新的恢复模式；而低、中度燃烧区恢复过程则更为平稳。3）多元线性回归模型证实，地表温度（LST）显著抑制恢复（p<0.01），而降水（Pr）则显著促进恢复（p<0.01）。关键在于气候因子的影响强度受燃烧严重程度的显著调节，模型对高燃烧区的解释力（R²=34.91%）远高于低燃烧区（R²=26.77%），且LST的负面效应在高燃烧区最为强烈。结论研究结果揭示了重度受损的生态系统对气候变化（尤其是高温胁迫）更为敏感，为寒温带森林火后差异化、气候适应性的生态管理提供了关键的科学依据。

Influence of sample purity on landslide susceptibility mapping: a mutually exclusive stratified purity strategy based on the state-process consistency

Jiaying Zhu, Yuqian Yang, Shuangyun Peng, Zhiqiang Lin et autres

Abstract The quality and uncertainty of training samples are a critical bottleneck constraining the performance of machine learning in landslide susceptibility mapping (LSM). To address this, this study introduces a sample purity optimization framework based on state-process consistency (SPC). The framework utilizes …

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