Collaborative Research: Population Ecology Models for Carbonate Sediments

合作研究：碳酸盐沉积物的种群生态学模型。科罗拉多大学，博尔德PI：波茨，唐纳德C。 碳酸盐沉积物广泛沉积在海洋中，是全球碳预算的一个重要因素。但它们很难理解，因为它们是生物学上创造的，然后经过地质学上的修改。在这个项目之前，他们已经用相当简单的基于规则的方法建模，这些方法的名称是？碳酸盐工厂？ 这个项目采取下一步，直接应用生物学原理，使用先进的数值模拟的实际过程？?碳酸盐农场？ 珊瑚、苔藓虫和藻类等碳酸盐骨骼生物的种群和群落生态学被用来构建逼真、详细的3D时间地质架构。这为碳循环、海洋酸化、岩石特性、油气资源和全球变化的环境响应开辟了富有成效的新研究途径。认为流程建模是不可实现的观点是错误的吗？关键是在适当的时空尺度上，对关键生物体的正确过程集采用良好的数学策略。在原型中，该项目已经产生了紧急模型功能，如高产量？尸骨场？生态学，以及累积沉积物变化的正确统计。即使在岩心描述水平，也可以将输出结果与综合大洋钻探计划（IODP）岩心日志和石油工业储层变化统计数据进行比较，从而有望获得跨学科的结果。

EAGER: Collaborative Research: Population Ecology Models for Carbonate Sediments Christopher C. Jenkins EAR-1118297 University of Colorado, Boulder PI: Potts, Donald C. EAR-1118306 University of California-Santa CruzCarbonate sediments are deposited extensively in the oceans and are a significant factor in global carbon budgets. But they are challenging to understand because they are created biologically, then modified geologically. Prior to this project, they had been modeled with rather simple rules-based methods which go under the name ?carbonate factory?. This project takes the next step and directly applies biological principles using advanced numerical modeling on the actual processes ? ?carbonate farm?. The population and community ecology of carbonate-skeleton organisms such as corals, bryozoans and algae is used to build realistic, detailed 3D time-geologic architectures. This opens productive new research paths into the carbon cycle, ocean acidification, rock properties, oil-gas resources, and environmental responses to global change. Perceptions that process modeling is not achievable are wrong ? the key is to employ good math tactics on the correct set of processes, for the key organisms, at appropriate time-space scales. In prototype this project has already produced emergent model features such as high-production ?bone yard? ecologies, and correct statistics for the variability of the accumulated sediments. The outputs can be compared even at the core-description level with Integrated Ocean Drilling Program (IODP) core logs and oil-industry reservoir variability statistics, promising cross-discipline results.