模拟美国东南部土壤有机碳的适应性放牧管理,使用MEMS 2
Rafael S Santos1, Emma K Hamilton2, Paige L Stanley2
1Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, 80521, USA.
Journal of environmental management
|July 4, 2024
概括
适应性多牧场 (AMP) 放牧可以增强土壤有机碳 (SOC) 储存. MEMS 2模型版本2.34准确模拟SOC动态,并确定放牧强度和频率作为增加SOC库存的关键管理杆.
科学领域:
- 土壤科学与生态系统生态学
- 农业和环境建模.
- 碳封存和减缓气候变化
背景情况:
- 牧场是重要的碳汇,但管理不善导致土壤有机碳 (SOC) 损失.
- 诸如自适应式多牧场 (AMP) 放牧等再生实践显示出增加SOC积累的潜力.
- 现有的模型很难准确地预测AMP对SOC池和土壤形状的影响.
研究的目的:
- 开发和验证一个增强的生态系统模型 (MEMS 2版本2.34),用于模拟AMP在SOC上的放牧效应.
- 评估模型在各种放牧场景下预测SOC动态的能力,包括颗粒物 (POC) 和矿物相关 (MAOC) 分数.
- 确定影响长期SOC储存的关键牧场管理杆 (时间,强度,频率).
主要方法:
- 开发了MEMS 2 2.34版本,其中包含了用于多年草生长和动物放牧动态的新子模块.
- 使用来自美国东南部放牧实验的实验数据验证了该模型,包括AMP和常规场所.
- 通过操纵放牧杆进行敏感性分析,以评估它们对SOC动态的长期影响.
主要成果:
- MEMS 2.34 精确模拟了巴希亚草料生产,并捕获了不同地点和深度的 SOC 分数动态.
- 该模型在AMP地点的土壤表层 (0-15厘米) 显示出SOC和MAOC的良好表现,在更深层的土壤中显示出POC.
- 模拟表明,放牧频率和强度对于增强SOC至关重要,降低强度产生了50年来最高的SOC收益.
结论:
- MEMS 2版本2.34是理解和预测SOC对AMP放牧的反应的一个有价值的工具.
- 该模型提供了关于优化牧场管理的见解,以增加美国东南部的SOC封存.
- 研究结果支持使用AMP放牧作为通过增强土壤碳储存减缓气候变化战略.
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