Simulated winter snow, soil thermal regime, and artificial drainage dynamics under climate change.

Crop Yield Projection Data (1950-2100): This dataset contains simulated annual crop yield projections (kg/hectare) from 1950 to 2100 for five subsurface-drained agricultural sites in Eastern Canada: Alfred (corn), Harrow (corn and soybean), Kentville (corn), Ottawa (corn), St-Emmanuel (corn). Simulations were performed using the RZ-SHAW model under RCP8.5 climate change scenario. Each site's data includes annual grain yield values and Sen's slope trend analysis with Mann-Kendall significance test results. Users should note the following important limitations when interpreting these yield projections: Simplified Crop Growth Parameters: The crop module was implemented primarily to account for crop residue effects on winter soil conditions, not for yield prediction. No calibration was performed for crop growth parameters. No Nutrient Stress: Simulations were run without nitrogen or phosphorus limitations for simplicity, which may overestimate yields in scenarios where nutrient availability would be constraining. Fixed Management Practices: Planting and harvest dates were held constant throughout the simulation period (1950-2100) based on historical averages, which becomes increasingly unrealistic under future climate conditions. No CO₂ Fertilization Effect: Atmospheric CO₂ concentration changes were not incorporated, potentially underestimating photosynthetic responses in future climate scenarios. Limited Stress Responses: The model's representation of heat stress, drought tolerance, and other physiological responses to extreme conditions may not fully capture crop responses under future climate scenarios. No Adaptation Strategies: The simulations do not account for potential adaptations such as cultivar changes, shifting planting dates, or irrigation implementation that would likely occur in response to changing conditions.作物产量预测数据集（1950年-2100年）： 本数据集包含加拿大东部5处地下排水农田站点1950年至2100年的模拟年度作物产量预测数据，单位为千克/公顷，具体站点包括：阿尔弗雷德（Alfred，种植玉米）、哈罗（Harrow，种植玉米与大豆）、肯特维尔（Kentville，种植玉米）、渥太华（Ottawa，种植玉米）以及圣埃马纽埃尔（St-Emmanuel，种植玉米）。本次模拟采用RZ-SHAW模型，在典型浓度路径8.5（RCP8.5）气候变化情景下完成。各站点数据均包含年度谷物产量数值、森斜率（Sen's slope）趋势分析结果以及曼-肯德尔（Mann-Kendall）显著性检验结果。 用户在解读此类产量预测结果时，需注意以下重要局限性： 1. 简化的作物生长参数设置：作物模块的设计初衷仅为考量作物残体对冬季土壤状况的影响，而非用于产量预测；未针对作物生长参数开展校准工作。 2. 无养分胁迫设置：为简化模拟流程，未考虑氮、磷养分限制条件，在养分供给受限的情景下，该数据集可能会高估作物产量。 3. 固定农事管理措施：模拟时段（1950年-2100年）内的播种与收获日期均基于历史平均值固定不变，在未来气候变化情景下，该设置的合理性会随时间推移逐渐降低。 4. 未考虑CO₂肥效效应：未纳入大气CO₂浓度变化的影响，在未来气候变化情景下，该设置可能会低估作物的光合响应能力。 5. 胁迫响应刻画有限：模型对热胁迫、耐旱性以及其他极端条件下生理响应的刻画，可能无法完整反映未来气候变化情景下的作物响应特征。 6. 未考虑适应策略：模拟未纳入为应对气候变化可能采取的各类适应措施，例如更换品种、调整播种日期或实施灌溉等。