在地球系统模型中改进植物水压力和用水的表现
Jeffrey S Dukes1, Chonggang Xu2, Chang Liao3
1Carnegie Institution for Science, Stanford, CA, 94305, USA.
The New phytologist
|November 4, 2025
概括
地球系统模型 (ESM) 需要更好的植物水应力数据来准确地预测气候反. 改善植被和地下水模型对于可靠的生态系统动态预测至关重要.
科学领域:
- 地球系统科学 地球系统科学
- 生态生态学 生态生态学
- 水文学 水文学
背景情况:
- 来自地球系统模型 (ESM) 的陆地气候反预测依赖于植被碳和水动态的准确模拟.
- 对ESM的可信性取决于它们对植物对水压力的反应的现实表现.
- 当前的模型往往缺乏足够的数据来对景观和全球规模的工厂液压过程进行参数化,评估和验证.
研究的目的:
- 讨论ESM中的工厂液压过程的当前模拟.
- 确定改善对水应激反应的模型信心的关键领域.
- 突出需要在气候模型中更好地整合植被和地下水动态.
主要方法:
- 对植被子模型的审查,重点关注植物生理学和水力动力学.
- 分析影响可用水的地下水流量模型.
- 识别植物液压特征,状态和干旱反应中的数据缺口.
主要成果:
- 在ESM中现有的植物水力动力学框架使用了简化,固定的特征值.
- 全球模型不充分地反映了微小的土壤水和地下水流动模式.
- 对于大规模模型参数化和验证的数据很少.
结论:
- 开发具有经过审查的工厂液压数据的模型兼容数据库是必不可少的.
- 需要改善分网变化 (坡度,土壤深度,地下水) 的表示.
- 物理知情的人工智能方法可以整合各种数据源,以更好地预测水压下的生态系统动态.
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