Geology topics

William Parton

Publications and source records attributed to William Parton.

4 recordsLinked to original sources

USGS2016

Toward more realistic projections of soil carbon dynamics by Earth system models

Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real-world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first-order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth-dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool- and flux-based data sets through data assimilation is among the highest priorities for near-term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.

Global Biogeochemical Cycles↗

USGS2011

Relationships among net primary productivity, nutrients and climate in tropical rain forest: A pan-tropical analysis

Tropical rain forests play a dominant role in global biosphere-atmosphere CO 2 exchange. Although climate and nutrient availability regulate net primary production (NPP) and decomposition in all terrestrial ecosystems, the nature and extent of such controls in tropical forests remain poorly resolved. We conducted a meta-analysis of carbon-nutrient-climate relationships in 113 sites across the tropical forest biome. Our analyses showed that mean annual temperature was the strongest predictor of aboveground NPP (ANPP) across all tropical forests, but this relationship was driven by distinct temperature differences between upland and lowland forests. Within lowland forests (< 1000 m), a regression tree analysis revealed that foliar and soil-based measurements of phosphorus (P) were the only variables that explained a significant proportion of the variation in ANPP, although the relationships were weak. However, foliar P, foliar nitrogen (N), litter decomposition rate (k), soil N and soil respiration were all directly related with total surface (0–10 cm) soil P concentrations. Our analysis provides some evidence that P availability regulates NPP and other ecosystem processes in lowland tropical forests, but more importantly, underscores the need for a series of large-scale nutrient manipulations – especially in lowland forests – to elucidate the most important nutrient interactions and controls.

Ecology Letters↗

USGS2000

Parameterizing century to model cultivated and noncultivated sites in the Loess region of western Iowa

One of the main questions remaining for global science involves the cycle of carbon among the atmosphere, oceans, and land. Scientists are trying to better determine the amount of carbon stored in and transferred between these three locations. This task has become more complex because in recent decades the amount of carbon released into the atmosphere has increased due to the burning of fossil fuels and land-use changes. The amount of this increase is greater than the amount of carbon accumulating in the atmosphere and oceans. Many scientists are studying different terrestrial ecosystems to find this 'missing" carbon. One such project is the Mississippi Basin Carbon Project (MBCP) of the U.S. Geological Survey (USGS). MBCP is studying the soils and sediments of the Mississippi River Basin, with an emphasis on understanding human influences on erosion and thus the movement of carbon within a landscape. One goal of the MBCP is to understand, at the field scale, the key processes of erosion and sedimentation, and thus the movement of carbon, in upland areas. Both field measurements and modeling efforts are being used for this purpose. On the modeling front, the Century Model is being used to describe the historical carbon dynamics for two field sites, an agricultural field and uncultivated prairie, located in the loess region of western Iowa. The objective of these modeling efforts is to recreate the carbon dynamics of the upper slope in each of these watersheds. The upper slope represents the area of a hillslope with the greatest potential erosion. This report describes how Century was parameterized to represent these two sites.

Iowa↗

USGS1998

Implementation of the century ecosystem model for an eroding hillslope in Mississippi

The objective of this study was to parameterize and implement the Century ecosystem model for an eroding, cultivated site near Senatobia, in Panola County, Mississippi, in order to understand the loss and replacement of soil organic carbon on an eroding cropland. The sites chosen for this study are located on highly eroded loess soils where USDA has conducted studies on rates of soil erosion. We used USDA sediment data from the study site and historical erosion estimates from the nearby area as model input for soil loss; in addition, inputs for parametization include particle-size data, climate data, and rainfall/runoff data that were collected and reported in companion papers. A cropping scenario was implemented to simulate a research site at the USDA watershed 2 at the Nelson Farm. Model output was compiled for comparison with data collected and reported in companion reports; interpretive comparisons are reported in Harden et al, in press.

Open-File Report↗