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Large-scale watershed data capture net changes in complex, open systems. Though profound and insightful, this approach leaves mechanistic microscale cause-and-effect linkages unaddressed. Measures of net change do not address dynamic controls on rates of processes that generate (versus those that consume) components of a given nutrient pool. Indeed, the intricate microscale interactions between biotic and abiotic eld processes are often masked in data gathered in large-scale systems. Thus, ecosystem-level biogeochemical data may often fail to satisfy the scienti c need for details of the processes of interest. An example of steps toward a mechanistic understanding of ecosystem process is shown in Figure 1.4. This model shows a partial synthesis of ecosystem processes that govern the fate of nitrogen in a watershed. Inputs, ows, nutrient pools, biological players, physiological reactions, and transport processes are depicted. Understanding and measuring the sizes of nitrogenous pools, their transformations, rates, uxes, and the active biotic agents represents a major challenge for both biogeochemists and microbiologists. Yet Figure 1.4 considerably simpli es the processes that actually occur in realworld watersheds because many details are missing and comparably complex reactions and interactions apply simultaneously to other nutrient elements (C, S, P, O, H, etc.). Consider a data set in which concentrations of ammonium (a key form of nitrogen) are found to uctuate in stream sediments. Interpreting such eld measurements is very dif cult because the ammonium pool at any given moment is controlled by processes of production (e.g., ammoni cation by microorganisms), consumption (e.g., aerobic and anaerobic ammonia-oxidizing microorganisms, nutrient uptake by all organisms) and transport (e.g., entrainment in owing water, diffusion, dilution, physical disturbance of sediment). Clearly, the many compounded intricacies of nutrient cycling and trophic and biochemical interactions in a eld habitat make biogeochemical processes, especially those catalyzed by microorganisms, dif cult to decipher. c# pdf 417 reader C# PDF-417 Reader SDK to read, scan PDF-417 in C#.NET class ...
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