Collaborative Research: Population Ecology Models for Carbonate Sediments

合作研究：碳酸盐沉积物的种群生态模型

• 批准号: 1118297
• 负责人: Christopher Jenkins
• 金额: $ 2.57万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-02-15 至 2012-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1118297&HistoricalAwards=false
• 关键词: Collaborative; Research; Population; Ecology; Models

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.

EARGER：合作研究：碳酸盐沉积物的种群生态学模型克里斯托弗·C·詹金斯EAR-1118297科罗拉多大学，博尔德派：波茨，唐纳德·C·EAR-1118306加州大学圣克鲁斯分校碳酸盐沉积物广泛沉积在海洋中，是全球碳收支的一个重要因素。但它们很难理解，因为它们是生物创造的，然后是地质改造的。在这个项目之前，它们是用相当简单的基于规则的方法建模的，这些方法的名称是？碳酸盐工厂？这个项目采取了下一步的步骤，通过在碳酸盐农场的实际过程中使用先进的数值模拟，直接应用生物学原理。珊瑚、苔藓虫和藻类等碳酸盐骨架生物的种群和群落生态被用来构建逼真的、详细的3D时间地质结构。这为碳循环、海洋酸化、岩石性质、油气资源和环境对全球变化的反应开辟了富有成效的新研究途径。认为流程建模无法实现的看法是错误的吗？关键是在适当的时空尺度上，对关键生物体的一组正确的过程使用良好的数学策略。在样机上，该项目已经产生了高产、骨料场、生态，并对累积沉积物的可变性进行正确的统计。这些产出甚至可以在岩心描述水平上与综合海洋钻探计划(IODP)岩心测井和石油行业储集层变异性统计进行比较，这是有希望的跨学科结果。