Assessing the Impacts of Land-Use Change and Ecological Restoration on CH4 and CO2 Fluxes in the Sacramento-San Joaquin Delta, California


Book Description

The Sacramento-San Joaquin Delta in California was drained for agriculture and human settlement circa 1850, resulting in extreme rates of soil subsidence and CO2 emissions due to peat oxidation. As a result of this prolonged ecosystem carbon imbalance where ecosystem respiration exceeded primary productivity, much of the land surface in the Delta now lies 5 to 8 m below sea level. To help reverse subsidence and convert Delta ecosystems from net carbon sources to carbon sinks, land managers have begun converting drained agricultural lands back to flooded ecosystems including wetlands and irrigated rice paddies. However, this comes at the cost of increased CH4 emissions, a much more potent greenhouse gas than CO2. To evaluate the impacts of drained to flooded land-use change on the biosphere-atmosphere exchange of CO2 and CH4 in the Delta, I conducted a full year of simultaneous eddy covariance measurements at two conventional drained agricultural peatlands (a pasture and a corn field) and three flooded land-use types (a rice paddy and two restored wetlands). This research showed that the drained sites were large CO2 and greenhouse gas (GHG) sources. However, this study also found that converting drained agricultural peat soils to flooded rice paddies or wetlands can help reduce or reverse soil subsidence and reduce GHG emissions, despite the potential for considerably higher CH4 emissions. In particular, wetlands offer the greatest potential for reversing subsidence since both restored wetlands were large net carbon sinks. Since natural and managed ecosystems can exhibit large year-to-year variation in CO2 and CH4 exchange, I analyzed 6.5 years of measurements from the irrigated rice paddy to investigate the factors affecting CH4 fluxes across diel to interannual timescales and quantify interannual variability in CO2 and CH4 budgets. Using wavelet analysis, I found that photosynthesis induced the diel pattern in CH4 flux, but soil temperature influenced its amplitude. At the seasonal scale, linear and neural network models indicated that photosynthesis and water levels were the dominant factors regulating daily average CH4 fluxes. However, across years, much of the variability in annual and growing season CH4 sums was driven by soil temperature. Soil temperature also strongly influenced ecosystem respiration, resulting in large interannual variability in the net carbon budget at the paddy. This study emphasizes the need for long-term, continuous measurements particularly under changing climatic conditions. With a growing interest in including wetlands in carbon markets worldwide due to their ability to accumulate large amounts of carbon, there is a need for models that can accurately and cheaply predict wetland CO2 and CH4 fluxes. In the final chapter of this dissertation, I combined eddy covariance CO2 fluxes measurements, flux footprint analysis, and near-surface (i.e. digital cameras) or satellite remote sensing data to investigate the potential of using the light use efficiency approach to accurately and cost-effectively model photosynthesis in wetland systems. Through this analysis, I showed that digital camera and Landsat imagery can be used to model carbon uptake in wetlands, providing inexpensive means of monitoring carbon cycling in these environments that can be used in carbon markets. By measuring trace gas exchange across multiple sites for multiple years, this dissertation provides new and important insights on the impacts of land use change in the Delta, improves our understanding of factors influencing CO2 and CH4 fluxes from agricultural and restored wetlands across diel to interannual timescales, and presents cost-effective and accurate ways of estimating photosynthesis in restored wetlands by combining flux measurements with near-surface and satellite remote sensing. This work helps bridge understanding between biometeorology, biogeochemistry and climate policy, and provides valuable information to help inform management decisions regarding carbon and water management of the Delta.




Wetland Carbon and Environmental Management


Book Description

Explores how the management of wetlands can influence carbon storage and fluxes. Wetlands are vital natural assets, including their ability to take-up atmospheric carbon and restrict subsequent carbon loss to facilitate long-term storage. They can be deliberately managed to provide a natural solution to mitigate climate change, as well as to help offset direct losses of wetlands from various land-use changes and natural drivers. Wetland Carbon and Environmental Management presents a collection of wetland research studies from around the world to demonstrate how environmental management can improve carbon sequestration while enhancing wetland health and function. Volume highlights include: Overview of carbon storage in the landscape Introduction to wetland management practices Comparisons of natural, managed, and converted wetlands Impact of wetland management on carbon storage or loss Techniques for scientific assessment of wetland carbon processes Case studies covering tropical, coastal, inland, and northern wetlands Primer for carbon offset trading programs and how wetlands might contribute The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity.Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.










Effect of Agricultural Land Use Changes on Greenhouse Gas Emissions and Carbon Dynamics in Drained Peat Soils in the San Joaquin Delta, CA


Book Description

AbstractGreenhouse Gas Emissions (GHG) from two cropping systems on Twitchell Island was monitored spring 2010 to spring 2012. The island is one of 57 manmade Islands located in the San Joaquin-Sacramento Delta in California (herein the "Delta"). The cropping systems under study were field corn and Delta rice. The project was set to study the effects of the cropping system on GHG emissions and soil organic carbon (SOC). Carbon Dioxide (CO2), Methane (CH4) and Nitrous Oxide (N2O) emissions measurement was done every one to three weeks during spring 2010-2012. Crop final biomass and total carbon (C) was measured for residue and C input estimation each year. In addition, the effect of crop residue levels on GHG emissions and C dynamics was studied over one year in each system during 2010-2011. The main objective of this study was to test the hypothesis that conversion of subsided agricultural peat land from the current corn system to Delta rice would reduce overall GHG emissions, mainly CO2 and N2O. It was hypothesized that the increase in CH4 emissions due to the flooding conditions would be insignificant relative to total reduction in CO2 emissions.The Delta rice CH4 cumulative emissions differed between the two years of study (212 and 39 kg CH4 C/ha for the 2010-2011 and 2011-2012 year, respectively). The reduction in 2011-2012 vs. 2010-2011 CH4 emissions was likely due to the placement of rice residue 20-30cm below soil surface when the field was moldboard plowed in spring 2011 and the shorter flooding period during the 2011 rice growing season (108 vs. 82 days in 2010 and 2011, respectively). In an experiment to determine the effects of various levels of rice residue on CO2 and CH4 emissions, CH4 emissions from plots receiving rice residues averaged as much as 3 times higher than plots with no residue, while CO2 emissions were not affected. During both years, a significant percentage of the CH4was emitted during the winter field drain in preparation for spring planting (63% and 53% in 2010-2011 and 2011-2012 respectively). Total CO2 emissions in the rice system averaged slightly lower during 2010-2011 than in 2011-2012 (8044kg CO2 C vs. 9860kg CO2 -C/ha), respectively with over 70% of the emissions occurring when the field was not flooded. These figures are likely an overestimation, as they do not take into account the diurnal temperature fluctuation where soil respiration is lower at night. Total N2O emissions were higher in the rice system during 2010-2011 than 2011-2012 (11 kg N2O-N/ha and 6 kg N2O-N/ha in 2010-2011 and 2011-2012 respectively). All GHG emissions were related to flooding regime and soil water status, and were highest after the winter drain and during the period of field operations to summer flood for rice growing.In the corn system, total CO2 emissions were similar in 2011-2012 and 2010-2011 (8845 and 8405 kg CO2-C/ha respectively) with about 60% of it occurring during the corn growing period. N2O emissions averaged higher in the 2nd year of the study (8.9 vs. 12.6 kg N2O-N/ha in the 2010-2011 and 2011-2012 periods, respectively). N2O emissions from the corn system were also affected by soil water status, and were highest in the spring during a period of drop in water table levels. Residue level did not affect CO2 or N2O emissions in the cornfield. Total estimated residue carbon input from both systems was similar in 2011 (circa 5 metric tons C/ha) but was higher in the corn system in 2010 (circa 5 and 9 metric tons C /ha in the rice and corn systems respectively). In 2011 the corn residue was baled and removed, which left an estimated 1 ton C/ha from residue input. Both systems are a net source of GHG. A significant portion of the rice GHG emissions occurred during the fallow period and when the rice was planted but not flooded (i.e. pre-flood and drain process). In the corn system, GHG emissions occurred during the summer (CO2) and spring (N2O). Rice total GHG emissions (in CO2 equivalents) were higher in 2010-2011 but not significantly different in 2011-2012 than the corn system. Although the rice did not significantly reduce CO2emissions, while increasing CH4, it offers a system with more room for management improvements for GHG and subsidence mitigation. N2O emissions consisted of 50% to 75% of the annual GWP in CO2 equivalents in the two years (excluding CO2 emissions) in the rice system. A management practice that reduces N2O emissions would greatly reduce the total GHG. Lengthening the period the field is flooded in the winter, and shortening the drainage periods can significantly reduce N2O and CO2 emissions. But the possible increase in CH4emissions should be considered. Also, summer mid-season drain is likely reduce CH4 emissions during the summer flooding period and possibly during the fall drainage. The shortening of the drainage period can be achieved by actively pumping water out of the drainage ditches instead of letting the water percolate down, although the energy cost and effect on drain water DOC content should be considered. Improving agronomic management practices, such as variety selection for higher yield and lower days to harvest would shorten the period for CH4 emissions during the summer. Lastly, better crop establishment would improve crop uniformity, which again would lead to shorter time to harvest and guaranty higher yields.




Climate and Land Use Change Effects on Ecological Resources in Three Watersheds: a Synthesis Report


Book Description

During the early 2000s, the Environmental Protection Agency's (EPA's) Office of Research and Development, Global Change Research Program, supported three watershed assessments to evaluate different approaches and tools for understanding and managing climate and land-use change impacts on watershed ecological resources. Watershed assessments were conducted for (1) several small rivers in southern Maryland, (2) Arizona's San Pedro River, and (3) California's Sacramento River. In this report, we comparatively analyze the three case-study approaches in order to develop recommendations that may be useful as guidance to others conducting similar assessments. Key insights gained from these studies include: 1. Prioritize locations for studies to maximize decision support. 2. Target selection of stakeholders, establish credibility of underlying methods and models, and incorporate incentives for mutually beneficial results. 3. Provide essential climate science capabilities and tools to project teams. 4. Develop model linkages at the onset, carry out assessment activities at multiple scales, and require explicit uncertainty analysis of results. The watershed assessment case studies described in this report yield richness of detail in terms of methods and results, as well as inform more generally on best practices for conducting future watershed assessments. However these were pioneering studies addressing difficult and complex problems. Future assessments will continue to refine the understanding of how to maximize decision support, including providing necessary keystone capabilities and tools to effectively estimate climate change vulnerabilities, developing and supporting successful stakeholder processes, and characterizing uncertainty and scaling or transferring results to increase their relevance.