+publisher:"University of Oklahoma" +contributor:("Luo, Yiqi")

University of Oklahoma

1. Weng, Ensheng. UNDERSTANDING ECOSYSTEM CARBON DYNAMICS BY MODELING APPROACHES.

Degree: PhD, 2011, University of Oklahoma

► These studies showed that current ecosystem C modeling protocols, i.e., a Farquhar model based canopy model simulating C input to the system and a compartmentalized… (more)

Subjects/Keywords: Carbon cycle (Biogeochemistry); Ecology – Simulation methods; Ecosystem management

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APA (6^th Edition):

Weng, E. (2011). UNDERSTANDING ECOSYSTEM CARBON DYNAMICS BY MODELING APPROACHES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318943

Chicago Manual of Style (16^th Edition):

Weng, Ensheng. “UNDERSTANDING ECOSYSTEM CARBON DYNAMICS BY MODELING APPROACHES.” 2011. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/318943.

MLA Handbook (7^th Edition):

Weng, Ensheng. “UNDERSTANDING ECOSYSTEM CARBON DYNAMICS BY MODELING APPROACHES.” 2011. Web. 09 Mar 2021.

Vancouver:

Weng E. UNDERSTANDING ECOSYSTEM CARBON DYNAMICS BY MODELING APPROACHES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2011. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/318943.

Council of Science Editors:

Weng E. UNDERSTANDING ECOSYSTEM CARBON DYNAMICS BY MODELING APPROACHES. [Doctoral Dissertation]. University of Oklahoma; 2011. Available from: http://hdl.handle.net/11244/318943

University of Oklahoma

2. XU, XIA. Responses of Belowground Carbon Dynamics to Warming in Southern Great Plains.

Degree: PhD, 2012, University of Oklahoma

URL: http://hdl.handle.net/11244/318604

► In the third study (SOC decomposition, Chapter 4), the "C quality-temperature" hypothesis was tested in a 170-day laboratory experiment by incubating soil samples with changing… (more)

Subjects/Keywords: Global warming – Great Plains; Carbon cycle (Biogeochemistry); Climatic changes – Great Plains

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APA (6^th Edition):

XU, X. (2012). Responses of Belowground Carbon Dynamics to Warming in Southern Great Plains. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318604

Chicago Manual of Style (16^th Edition):

XU, XIA. “Responses of Belowground Carbon Dynamics to Warming in Southern Great Plains.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/318604.

MLA Handbook (7^th Edition):

XU, XIA. “Responses of Belowground Carbon Dynamics to Warming in Southern Great Plains.” 2012. Web. 09 Mar 2021.

Vancouver:

XU X. Responses of Belowground Carbon Dynamics to Warming in Southern Great Plains. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/318604.

Council of Science Editors:

XU X. Responses of Belowground Carbon Dynamics to Warming in Southern Great Plains. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/318604

University of Oklahoma

3. Zhou, Yuting. THE USE OF REMOTE SENSING AND EDDY COVARIANCE TECHNOLOGIES TO CHARACTERIZE CROPLAND, DROUGHT AND LAND MANAGEMENTS AND THEIR IMPACTS ON ECOSYSTEM DYNAMICS.

Degree: PhD, 2017, University of Oklahoma

URL: http://hdl.handle.net/11244/50829

► With the increasing population, human needs more food, fresh water, and other ecosystem services, which burdens the agricultural and natural ecosystems. Under the background of… (more)

▼ With the increasing population, human needs more food, fresh water, and other ecosystem services, which burdens the agricultural and natural ecosystems. Under the background of climate change, meeting these human needs becomes more challenging because of increasing temperature, climate extremes, etc. and their interaction with human activities. Thus, it is important to understand the impacts of climate change and human activities on ecosystem dynamics. The land-use and land-cover change, one of the most important human activities, greatly affects the function and dynamics of ecosystems. Drought is one of the most costly natural disasters and imposes wide-ranging impacts on the economy, environment, and society. This dissertation aimed to strengthen the usage of remote sensing and eddy covariance techniques in paddy rice mapping, agricultural drought monitoring, land management effects assessment, and evaluating the impacts of drought on cattle production. Chapter 2 identified the different flooding/transplanting periods of paddy rice and natural wetlands. The natural wetlands foods earlier and have a shorter duration than paddy rice in the Panjin Plain, a temperate region in China. Using this asynchronous flooding stages, this chapter extracted the paddy rice planting area from the rice-wetland coexistent area using MODIS and Landsat 8 imagery. The comparison and validation tests indicated high accuracy of our paddy rice map. Chapter 3 quantified the agricultural drought of tallgrass prairie in the SGP using a remotely sensed water-related vegetation index derived from MODIS. The results are comparable to other widely used drought products. The spatial pattern of drought duration was highly correlated with the decreasing precipitation gradient from east to west. LSWI-based drought depictions are sensitive to both precipitation anomalies from the historical mean and abnormal seasonal precipitation distributions. A comparison with other widely used drought products is made. Chapter 4 examined the impacts of burning, baling, and grazing on canopy and carbon fluxes in a pasture through integrating PhenoCam images, satellite remote sensing, and eddy covariance data. Landsat images were used to assess the baling area and the trajectory of vegetation recovery. MODIS vegetation indices (VIs) were used in the Vegetation Photosynthesis Model (VPM) to estimate gross primary production (GPPVPM) at a MODIS pixel for the flux tower (baled) site. Multiple datasets allowed studying intra-annual variations caused by various management practices. The larger increase of GPP after large rain in baled grassland (photosynthetically more active vegetation) compensated the reduction in GPP caused by baling. This result indicated that the interaction of management practices with climate is important when studying their impacts on GPP. Chapter 5 evaluated the impacts of drought on cattle production in the SGP during 2000-2015 use meteorological, remote sensing, and statistical data. The results showed that the consecutive years of… Advisors/Committee Members: Xiao, Xiangming (advisor), Basara, Jeffrey (committee member), Luo, Yiqi (committee member), Steiner, Jean (committee member), McCarthy, Heather (committee member).

Subjects/Keywords: Remote sensing; Eddy covariance; Land use and land cover change; drought

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APA (6^th Edition):

Zhou, Y. (2017). THE USE OF REMOTE SENSING AND EDDY COVARIANCE TECHNOLOGIES TO CHARACTERIZE CROPLAND, DROUGHT AND LAND MANAGEMENTS AND THEIR IMPACTS ON ECOSYSTEM DYNAMICS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/50829

Chicago Manual of Style (16^th Edition):

Zhou, Yuting. “THE USE OF REMOTE SENSING AND EDDY COVARIANCE TECHNOLOGIES TO CHARACTERIZE CROPLAND, DROUGHT AND LAND MANAGEMENTS AND THEIR IMPACTS ON ECOSYSTEM DYNAMICS.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/50829.

MLA Handbook (7^th Edition):

Zhou, Yuting. “THE USE OF REMOTE SENSING AND EDDY COVARIANCE TECHNOLOGIES TO CHARACTERIZE CROPLAND, DROUGHT AND LAND MANAGEMENTS AND THEIR IMPACTS ON ECOSYSTEM DYNAMICS.” 2017. Web. 09 Mar 2021.

Vancouver:

Zhou Y. THE USE OF REMOTE SENSING AND EDDY COVARIANCE TECHNOLOGIES TO CHARACTERIZE CROPLAND, DROUGHT AND LAND MANAGEMENTS AND THEIR IMPACTS ON ECOSYSTEM DYNAMICS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/50829.

Council of Science Editors:

Zhou Y. THE USE OF REMOTE SENSING AND EDDY COVARIANCE TECHNOLOGIES TO CHARACTERIZE CROPLAND, DROUGHT AND LAND MANAGEMENTS AND THEIR IMPACTS ON ECOSYSTEM DYNAMICS. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/50829

University of Oklahoma

4. Shi, Zhou. DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES.

Degree: PhD, 2017, University of Oklahoma

URL: http://hdl.handle.net/11244/50834

► Microorganisms are ubiquitous on earth, and they interact each other to form communities, which play unique and integral roles in various biochemical processes and functions… (more)

▼ Microorganisms are ubiquitous on earth, and they interact each other to form communities, which play unique and integral roles in various biochemical processes and functions that are of critical importance in global biogeochemical cycling, human health, energy, climate change, environmental remediation, engineering, industry, and agriculture. However, identification, characterization, and quantification of microbial communities are still limited, due to the extreme diversity and yet-uncultivable nature of a vast majority of microorganisms, and our understanding of microbial communities is further hindered by complex organization and dynamics of interactions among microorganisms. In this work, we developed high-throughput functional gene arrays (FGAs), bioinformatics tools and computational methods for analysis of microbial metagenomes and interactomes to address some of the limitations, whose powerfulness were demonstrated in application studies. In the beginning of this work, we developed a high-throughput FGA for characterizing a specific group of microorganisms - plant growth promoting microorganisms (PGPMs). PGPMs can promote plant growth and suppress disease directly and/or indirectly by enhancing soil fertility and plant resistance to biotic and abiotic stresses, thus may contribute to the success of invasive plants over native species. However, PGPMs are highly diverse in terms of both species richness and plant promoting mechanisms. Therefore, it is difficult to study the PGPMs changes along with environment shifts, and their subsequent impacts on plant performance and ecosystem functioning. The developed high-throughput FGA, termed Plant Associated Beneficial Microorganism Chip (PABMC), focused on functional genes from PGPMs that are beneficial to plants. A total of 3,870 probes covering 34 functional gene families were designed in PABMC, including six categories: plant growth-promoting hormones, plant pathogen resistance, antibiotics, antioxidants, drought tolerance, and secondary benefits (e.g. elicitor of plant immune defense response). Computational analysis showed that ~98% of the probes were highly specific at the species or strain level. The PABMC was also applied to investigate PGPMs’ responses to Ageratina adenophora (A. adenophora) invasion in a natural grassland, and showed A. adenophora invasion increased the alpha diversity and shifted the composition of PGPM communities compared with what from the native site. The PABMC uncovered changes in abundance of a key gene related to drought tolerance, pathogen resistance, antibiotic biosynthesis, and antioxidant biosynthesis, due to A. adenophora invasion. These changes may promote the survival and growth of A. adenophora over native species in the site we studied. Next, we developed GeoChip 5.0, and advanced the FGA based metagenomics technology to a new level of comprehensiveness, for analyzing complex microbial communities. GeoChip 5.0 was based on Agilent platform, with two formats. The smaller format contained 60K probes (GeoChip 5.0S), majorly… Advisors/Committee Members: Krumholz, Lee (advisor), Zhu, Meijun (committee member), Luo, Yiqi (committee member), Radhakrishnan, Sridhar (committee member), Zhou, Jizhong (committee member).

Subjects/Keywords: Computational Biology; Bioinformatics; Biotechnology; Metagenomics and Microbial Ecology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shi, Z. (2017). DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/50834

Chicago Manual of Style (16^th Edition):

Shi, Zhou. “DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/50834.

MLA Handbook (7^th Edition):

Shi, Zhou. “DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES.” 2017. Web. 09 Mar 2021.

Vancouver:

Shi Z. DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/50834.

Council of Science Editors:

Shi Z. DEVELOPMENT OF HIGH-THROUGHPUT EXPERIMENTAL AND COMPUTATIONAL TECHNOLOGIES FOR ANALYZING MICROBIAL FUNCTIONS AND INTERACTIONS IN ENVIRONMENTAL METAGENOMES. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/50834

University of Oklahoma

5. Li, Suyu. Some sharp inequalities related to Moser-Tridinger-Onofri inequality.

Degree: PhD, 2014, University of Oklahoma

URL: http://hdl.handle.net/11244/10370

► In this dissertation, we focus on the study of sharp inequalities of Moser- Trudinger-Onofri type. We first establish the analog Bliss and Hardy inequal- ities… (more)

Subjects/Keywords: Mathematics.

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APA (6^th Edition):

Li, S. (2014). Some sharp inequalities related to Moser-Tridinger-Onofri inequality. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10370

Chicago Manual of Style (16^th Edition):

Li, Suyu. “Some sharp inequalities related to Moser-Tridinger-Onofri inequality.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/10370.

MLA Handbook (7^th Edition):

Li, Suyu. “Some sharp inequalities related to Moser-Tridinger-Onofri inequality.” 2014. Web. 09 Mar 2021.

Vancouver:

Li S. Some sharp inequalities related to Moser-Tridinger-Onofri inequality. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/10370.

Council of Science Editors:

Li S. Some sharp inequalities related to Moser-Tridinger-Onofri inequality. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10370

University of Oklahoma

6. Liu, Feifei. THE IMPACT OF LONG-TERM ELEVATED ATMOSPHERIC CARBON DIOXIDE ON BELOWGROUND MICROBIAL COMMUNITY AT CONTRAST NITROGEN CONDITIONS.

Degree: PhD, 2017, University of Oklahoma

URL: http://hdl.handle.net/11244/51952

► Global terrestrial ecosystems are subjected to various climate change factors, including the concurrent elevated CO2 (eCO2) and nitrogen deposition (eN). Despite the increasing appreciation that… (more)

▼ Global terrestrial ecosystems are subjected to various climate change factors, including the concurrent elevated CO2 (eCO2) and nitrogen deposition (eN). Despite the increasing appreciation that eCO2 and eN can interactively affect aboveground plants, how they will affect soil microbial communities and associated ecoprocesses remain understudied. This dissertation addresses this gap by examining the response of soil microbial communities associated with two plant functional groups (C3 grass and legumes) to eCO2 and eN in a long-term (12-year) field experiment (BioCON). In the beginning of this study, we investigated soil bacterial and archaeal communities subjected to CO2 (ambient, 368 µmol mol−1, versus elevated, 560 µmol mol−1) and N (ambient, 0 g m-2 yr-1, versus elevated, 4 g m-2 yr-1) treatments using Illumina MiSeq sequencing of 16S rRNA gene amplicons. Over 2.3 million passing sequences were obtained from a total 24 samples, corresponding to 38 known phyla, 96 classes, and 565 genera. Elevated CO2 significantly altered the diversity and structure of microbial communities, but these changes vary greatly depending on soil N conditions and plant functional groups. In C3 grass plots, community diversity increased with eCO2. A positive eN effect on community richness was also observed. These shifts in community structure and composition may be driven by differential responses of microbial taxonomic groups to eCO2 and/or eN. For example, Actinobacteria abundance decreased with the main effect of eCO2, accounting for about 20.3% of the total population in the C3 grass. Chlamydiae increased with eCO2 but only under eN condition. The abundance of Woesearchaeota increased with eN, but no effect of eCO2 on its abundance was observed. Whereas in legume plots, community richness increased with eCO2. The abundance of Actinobacteria, Chloroflexi, Armatimonadetes, Saccharibactiera, and Euryarchaeota, accounting for about 21.2% of the total population in legume plots, decreased with eCO2, eN or both. Only Nitrospirae and Latescibacteria increased with eCO2 in their abundance. Changes in community diversity and composition were significantly related to plant and soil properties including plant biomass, biomass N content and C/N ratio, soil ammonium and nitrate, pH, moisture, temperature, and soil C and N contents by Mantel analysis. In addition, our results suggested that copiotrophic-like bacteria appear to be more abundant in the legume than in the C3 grass plots, whereas oligotrophic-like bacteria appear to be more abundant in the C3 grass than in the legume plots. Collectively, these results revealed different impacts of eCO2 and eN on soil microbial community diversity and composition with few common trends observed across plant functional groups, providing new information for our understanding of the feedback response of soil microbial communities to global change factors. In the following, we used high-throughput microbial functional gene microarray (GeoChip), stable isotope-based microbial C-sequestration and… Advisors/Committee Members: Zhou, Jizhong (advisor), Patten, Michael (committee member), Karr, Elizabeth (committee member), Luo, Yiqi (committee member), Stevenson, Bradley (committee member).

Subjects/Keywords: Biology, Microbiology.; Microbiology; Biology

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APA (6^th Edition):

Liu, F. (2017). THE IMPACT OF LONG-TERM ELEVATED ATMOSPHERIC CARBON DIOXIDE ON BELOWGROUND MICROBIAL COMMUNITY AT CONTRAST NITROGEN CONDITIONS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/51952

Chicago Manual of Style (16^th Edition):

Liu, Feifei. “THE IMPACT OF LONG-TERM ELEVATED ATMOSPHERIC CARBON DIOXIDE ON BELOWGROUND MICROBIAL COMMUNITY AT CONTRAST NITROGEN CONDITIONS.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/51952.

MLA Handbook (7^th Edition):

Liu, Feifei. “THE IMPACT OF LONG-TERM ELEVATED ATMOSPHERIC CARBON DIOXIDE ON BELOWGROUND MICROBIAL COMMUNITY AT CONTRAST NITROGEN CONDITIONS.” 2017. Web. 09 Mar 2021.

Vancouver:

Liu F. THE IMPACT OF LONG-TERM ELEVATED ATMOSPHERIC CARBON DIOXIDE ON BELOWGROUND MICROBIAL COMMUNITY AT CONTRAST NITROGEN CONDITIONS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/51952.

Council of Science Editors:

Liu F. THE IMPACT OF LONG-TERM ELEVATED ATMOSPHERIC CARBON DIOXIDE ON BELOWGROUND MICROBIAL COMMUNITY AT CONTRAST NITROGEN CONDITIONS. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/51952

University of Oklahoma

7. Brumley, Jessica. APPLICATION OF ECOSYSTEM ENERGETIC INDICATORS FOR THE VALUATION OF ECOSYSTEM SERVICES AND HEALTH.

Degree: PhD, 2014, University of Oklahoma

URL: http://hdl.handle.net/11244/8105

► Ecosystems services are benefits that humans receive from ecosystem functions. Ecosystem health is a term that is commonly used in the literature to describe the… (more)

▼ Ecosystems services are benefits that humans receive from ecosystem functions. Ecosystem health is a term that is commonly used in the literature to describe the state of an ecosystem. Ecologists and economists have stated that ecosystem health is important for the preservation and maintenance of ecosystem services essential to human society. Various methods and means have been proposed to assess ecosystem services and the economic values they provide to society, in relation to ecosystem health, by developing reliable holistic methods which assess health and services. Energy is a common denominator in all processes and measures of activity and if an ecosystem is distressed, it will not efficiently convert energy to work. In this study, energy indices were used to evaluate ecosystem health in relation to the ecosystem service of metals retention (iron and zinc) in wetlands. These indices included emergy (which evaluates the energy memory of the system), eco-exergy (a concept adapted to ecology to determine the efficiency of the work within the ecosystem) and ascendency (the diversity of the networks acting as an indicator of activity and organization within the system). Six wetlands, three volunteer and three treatment, which were all receiving metals contaminated water, were modeled using the STELLA dynamic simulation programming. A total system model was developed with hydrologic, ecosystem, and biogeochemical (iron and zinc retention) submodels. Field data from these systems were used to calibrate and validate each model. These models were evaluated for relationships between the indices, ecosystem service of metals retention, and to assess how the different systems (volunteer and treatment wetlands) vary between these indices. The results from this study suggest that there are relationships between ecosystem services and ecosystem health indices including iron retention and emergy, relative ascendency, specific exergy and the exergy/emergy ratio. In the case of zinc retention, there was a relationship with all indices excluding the exergy indices. Ascendency was a poor indicator of iron retention but it was also discovered that more zinc is retained in the higher ascendant systems. The systems with higher emergy had more metals retention suggesting that a system with greater emergy can provide a greater ecosystem service. This trend did not hold true with exergy and ascendency, meaning that as these indices increased, the service of metal retention decreased. Using exergy and ascendency indicators to determine a system’s potential to provide a service was less clear from the results. These six models, for both treatment and volunteer wetland systems, suggest that emergy is the only indicator that determines the potential ability of the system to provide a service. Advisors/Committee Members: Nairn, Robert (advisor), Strevett, Keith (committee member), Knox, Robert (committee member), Luo, Yiqi (committee member), Hoagland, Bruce (committee member).

Subjects/Keywords: Environmental Sciences.

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APA (6^th Edition):

Brumley, J. (2014). APPLICATION OF ECOSYSTEM ENERGETIC INDICATORS FOR THE VALUATION OF ECOSYSTEM SERVICES AND HEALTH. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/8105

Chicago Manual of Style (16^th Edition):

Brumley, Jessica. “APPLICATION OF ECOSYSTEM ENERGETIC INDICATORS FOR THE VALUATION OF ECOSYSTEM SERVICES AND HEALTH.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/8105.

MLA Handbook (7^th Edition):

Brumley, Jessica. “APPLICATION OF ECOSYSTEM ENERGETIC INDICATORS FOR THE VALUATION OF ECOSYSTEM SERVICES AND HEALTH.” 2014. Web. 09 Mar 2021.

Vancouver:

Brumley J. APPLICATION OF ECOSYSTEM ENERGETIC INDICATORS FOR THE VALUATION OF ECOSYSTEM SERVICES AND HEALTH. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/8105.

Council of Science Editors:

Brumley J. APPLICATION OF ECOSYSTEM ENERGETIC INDICATORS FOR THE VALUATION OF ECOSYSTEM SERVICES AND HEALTH. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/8105

University of Oklahoma

8. Rosendahl, Derek. QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE.

Degree: PhD, 2013, University of Oklahoma

URL: http://hdl.handle.net/11244/7890

► Information on the uncertainties in projections of future climate change from global climate models (GCMs) is vital for their effective use across a wide range… (more)

Subjects/Keywords: Atmospheric Sciences.

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APA (6^th Edition):

Rosendahl, D. (2013). QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/7890

Chicago Manual of Style (16^th Edition):

Rosendahl, Derek. “QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/7890.

MLA Handbook (7^th Edition):

Rosendahl, Derek. “QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE.” 2013. Web. 09 Mar 2021.

Vancouver:

Rosendahl D. QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/7890.

Council of Science Editors:

Rosendahl D. QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/7890

University of Oklahoma

9. Yuan, Mengting. RESPONSES OF SOIL MICROBIAL COMMUNITIES TO CLIMATE WARMING.

Degree: PhD, 2017, University of Oklahoma

URL: http://hdl.handle.net/11244/51919

► Strong scientific evidence supports that anthropogenic activities since industrialization have caused instability in earth’s climate, featured by increasing global surface temperature, increasing greenhouse gas concentration… (more)

▼ Strong scientific evidence supports that anthropogenic activities since industrialization have caused instability in earth’s climate, featured by increasing global surface temperature, increasing greenhouse gas concentration in the atmosphere. Climate change has then caused a series of changes in the earth’s ecosystems, which can have significant impacts on the biosphere and our human being. Although huge efforts have been put into the research in climate science since the past century, due to the complexity of the climate system and its broad and long-lasting influence, there are still countless question marks and uncertainties in our understanding of climate change and its influence on earth and human society. Microorganisms are among the tiniest groups of life, but play important roles in the cycling of carbon and other nutrient elements in the biosphere. However, their response and feedback to climate warming in different ecosystems is still difficult to predict, limited by the lack of mechanistic understanding of the complex microbial community, their functions, their interactions among themselves and under warming perturbation. With the fast advance of high-throughput metagenomic technologies and the development of environmental microbiology, deep and detailed characterization of microbial diversity and functions became available, which provided great chances in promoting our insights into the mechanisms by which microbial communities mediate the carbon balance in a warmer world. This dissertation applied several metagenomic technologies to probe the soil microbial community responses to warming and permafrost thaw based on field observations and experiments in two ecosystems, a permafrost underlain Alaska tundra, and a temperate tall grass prairie in Oklahoma. Microbial decomposition of soil carbon in high latitude tundra underlain with permafrost is one of the most important, but poorly understood, potential positive feedbacks of greenhouse gas emissions from terrestrial ecosystems into the atmosphere in a warmer world. On the other hand, temperate grassland provided a contrast to the cold weather and huge soil carbon storage in the tundra, allowing the comparison of different ecosystems in terms of their sensitivity and vulnerability to warming. In the beginning of this work, we sought answers to the question that how microbial functional diversity was affected by regional warming induced long-term permafrost thaw. Soil columns were collected from a tundra site where three locations with different lengths of permafrost degradation history were on record. A functional gene array (i.e. GeoChip 4.2) was used to analyze the functional capacities of soil microbial communities in these samples. Compared with the minimally thawed site, the number of detected functional gene probes across the 15-65 cm depth profile at the moderately and extensively thawed sites decreased by 25 % and 5 %, while the community functional gene β-diversity increased by 34% and 45%, respectively, revealing decreased functional gene… Advisors/Committee Members: Wawrik, Boris (advisor), Zhou, Jizhong (advisor), Luo, Yiqi (committee member), Kaspari, Michael (committee member), McCarthy, Heather (committee member).

Subjects/Keywords: soil microbial ecology; climate change biology; metagenomics

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APA (6^th Edition):

Yuan, M. (2017). RESPONSES OF SOIL MICROBIAL COMMUNITIES TO CLIMATE WARMING. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/51919

Chicago Manual of Style (16^th Edition):

Yuan, Mengting. “RESPONSES OF SOIL MICROBIAL COMMUNITIES TO CLIMATE WARMING.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/51919.

MLA Handbook (7^th Edition):

Yuan, Mengting. “RESPONSES OF SOIL MICROBIAL COMMUNITIES TO CLIMATE WARMING.” 2017. Web. 09 Mar 2021.

Vancouver:

Yuan M. RESPONSES OF SOIL MICROBIAL COMMUNITIES TO CLIMATE WARMING. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/51919.

Council of Science Editors:

Yuan M. RESPONSES OF SOIL MICROBIAL COMMUNITIES TO CLIMATE WARMING. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/51919

University of Oklahoma

10. Hararuk, Oleksandra. IMPROVING GLOBAL CARBON CYCLE MODELS WITH OBSERVATIONS.

Degree: PhD, 2014, University of Oklahoma

URL: http://hdl.handle.net/11244/10373

► In the future warming world terrestrial ecosystems may mitigate increasing temperatures by sequestering CO₂ from the atmosphere, or they can intensify future global change, amplifying… (more)

▼ In the future warming world terrestrial ecosystems may mitigate increasing temperatures by sequestering CO₂ from the atmosphere, or they can intensify future global change, amplifying the rate of CO₂ production in response to warming. Ecosystems’ response to climate change depends on controls over carbon (C) influx and storage, with the latter determined by ecosystem pools’ turnover rates. Global C cycle models perform well in predicting C influx rates, the gross and net primary productivity (GPP and NPP), however, their simulation of carbon storage requires improvement. This dissertation is focused on improving the models’ performance in simulating carbon storage and turnover rates. In the first chapter I describe the importance of understanding the controls over ecosystem carbon storage; give an overview of current global carbon cycle model performance in C storage simulation; and describe benefits of data assimilation for model improvement. In the second chapter I focus on improving the modeled turnover rates of the surface leaf litter. I first illustrate the poor prediction of surface leaf litter turnover rates by a commonly used first-order decay model, then use a global observed dataset of litter turnover rates and a Bayesian Markov Chain Monte Carlo (MCMC) approach to calibrate the model. After calibration the model explained 43% of spatial variability in the observed litter turnover rates, which was better than the initial 15%. After calibration the nature of the structural lignin limitation of litter turnover rates became unrealistic, therefore I altered litter quality limitation function to be dependent on litter lignin-to-nitrogen ratio. The change in the litter quality limitation assumption led to further increase in the explained variability in the observations to 61%, and the estimated degree of lignin-to-nitrogen limitation of litter turnover rate was comparable to the values reported in literature. Lastly, model calibration resulted in reduction of temperature sensitivity of the litter turnover rates from Q10=2 to Q10=1.45. In the third chapter I improve the simulation of soil organic carbon (SOC) storage in CLM-CASA’. Long-term land carbon-cycle feedback to climate change is largely determined by dynamics of SOC. However, most evaluation studies conducted so far indicate that global land models predict SOC poorly. I evaluated SOC predictions by CLM-CASA’, investigated underlying causes of mismatches between model predictions and observations, and calibrated model parameters using Bayesian MCMC technique to improve the prediction of SOC. I compared modeled SOC to observed soil C pools provided by IGBP-DIS globally gridded data product and found that CLM-CASA’ on average underestimated SOC pools by 65% (r²=0.28). I applied data assimilation to CLM-CASA’ to estimate SOC residence times, C partitioning coefficients among the pools, as well as temperature sensitivity of C decomposition. The model with calibrated parameters explained 41% of the global variability in the observed SOC, which was… Advisors/Committee Members: Luo, Yiqi (advisor), Lakshmivarahan, S. (committee member), Ricciuto, Daniel (committee member), McCarthy, Heather (committee member), Xiao, Xiangming (committee member).

Subjects/Keywords: Biogeochemistry.; Biology, Ecology.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hararuk, O. (2014). IMPROVING GLOBAL CARBON CYCLE MODELS WITH OBSERVATIONS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10373

Chicago Manual of Style (16^th Edition):

Hararuk, Oleksandra. “IMPROVING GLOBAL CARBON CYCLE MODELS WITH OBSERVATIONS.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/10373.

MLA Handbook (7^th Edition):

Hararuk, Oleksandra. “IMPROVING GLOBAL CARBON CYCLE MODELS WITH OBSERVATIONS.” 2014. Web. 09 Mar 2021.

Vancouver:

Hararuk O. IMPROVING GLOBAL CARBON CYCLE MODELS WITH OBSERVATIONS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/10373.

Council of Science Editors:

Hararuk O. IMPROVING GLOBAL CARBON CYCLE MODELS WITH OBSERVATIONS. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10373

University of Oklahoma

11. shi, zheng. RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION.

Degree: PhD, 2015, University of Oklahoma

URL: http://hdl.handle.net/11244/14556

► Observations, experimental studies and modeling endeavors all show that global climate change, mainly increased surface air temperature and associated change in precipitation regime, has caused… (more)

▼ Observations, experimental studies and modeling endeavors all show that global climate change, mainly increased surface air temperature and associated change in precipitation regime, has caused impacts on plant community structure and terrestrial ecosystem functioning. The direction, rate and magnitude of ecosystem responses to climate change vary across time and space. Mechanisms and feedbacks responsible for the ecosystem responses are complex, from physiological and phonological to community-shift driven. Therefore, to advance our understanding, it is of great importance to recognize general patterns in the ecosystem responses and identify probably underlying mechanisms. In this dissertation, I attempted to generalize central patterns of effects of warming and altered precipitation on plant community and ecosystem carbon (C) dynamics and identify mechanisms using multiple approaches including meta-analysis, manipulative experiment, ecosystem C modeling and model-data fusion. In the first study, I conducted a modeling analysis of the effects of extreme drought on two key ecosystem processes, production and respiration, and to provide broader context I complemented this with a synthesis of published results across multiple ecosystems. The synthesis indicated that across a broad range of biomes gross primary production (GPP) generally was more sensitive to extreme drought than was ecosystem respiration (ER). Furthermore, this differential sensitivity between production and respiration increased as drought severity increased and occurred only in grassland ecosystems but not in evergreen needle-leaf and broad-leaf forests or woody savannahs. The modeling analysis was designed to better understand the mechanisms underlying this pattern and focused on four grassland sites arrayed across the Great Plains, USA. Model results consistently showed that net primary productivity (NPP) was reduced more than heterotrophic respiration (Rh) by extreme drought (i.e., 67% reduction in annual ambient rainfall) at all four study sites. The sensitivity of NPP to drought was directly attributable to rainfall amount, whereas sensitivity of Rh to drought was driven by soil drying, reduced carbon (C) input and a drought-induced reduction in soil C content, a much slower process. However, differences in reductions in NPP and Rh diminished as extreme drought continued due to a gradual decline in the soil C pool leading to further reductions in Rh. The findings suggest that responses of production and respiration differ in magnitude, occur on different timescales and are affected by different mechanisms under extreme, prolonged drought. In the second study, I used a meta-analysis approach to quantify the responses of community productivity and structure to both increased and decreased precipitation by synthesizing 44 experimental studies in grassland ecosystem. The results showed that decreased precipitation suppress aboveground net primary productivity (ANPP) by 16.7% and belowground net primary productivity (BNPP) by 5.4%; increased… Advisors/Committee Members: Luo, Yiqi (advisor), Xiao, Xiangming (committee member), Wang, Xuguang (committee member), Souza, Lara (committee member), McCarthy, Heather (committee member).

Subjects/Keywords: global climate change; ecology; carbon cycle; grassland

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

shi, z. (2015). RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/14556

Chicago Manual of Style (16^th Edition):

shi, zheng. “RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/14556.

MLA Handbook (7^th Edition):

shi, zheng. “RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION.” 2015. Web. 09 Mar 2021.

Vancouver:

shi z. RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/14556.

Council of Science Editors:

shi z. RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/14556

University of Oklahoma

12. Duda, Jeffrey. OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE.

Degree: PhD, 2016, University of Oklahoma

URL: http://hdl.handle.net/11244/34801

► As computer technology continues to improve, resources are becoming increasingly available for running an ensemble of NWP simulations with sufficient resolution that convection parameterization is… (more)

▼ As computer technology continues to improve, resources are becoming increasingly available for running an ensemble of NWP simulations with sufficient resolution that convection parameterization is no longer needed and individual storms can be captured on the grid scale. Due to past limitations on technology, research into the optimal design of convection-allowing ensembles has remained limited. The purpose of ensembles is to account for forecast uncertainty that arises due to errors in the forecast process. There are errors in the initial conditions resulting from incomplete spatiotemporal sampling of the atmosphere and measurement error. There are errors in the lateral boundary conditions that drive limited-area models (as is the case for current experimental convection-allowing ensembles). There are also errors associated with the model formulation caused by numerical error from discretization of the model grid, truncation of numerical schemes, and inadequate subgrid-scale physics parameterizations that provide source and sink terms for the resolved-scale variables. This dissertation focuses on methods of accounting for uncertainty in assorted model physics components. Three research projects were performed using the WRF model with 4 km grid spacing. One investigated methods of accounting for microphysics uncertainty. Another investigated the impact of adding a stochastic model error representation scheme. The third project investigated methods of accounting for uncertainty in the land-surface model component. Two methods of perturbing the microphysics were compared: perturbing fixed parameters within a single scheme and using multiple schemes. The latter, termed mixed microphysics, was found to generate somewhat more skillful and more reliable probabilistic forecasts of precipitation, although the former, termed perturbed parameter microphysics, also performed well. A stochastic model error scheme that was originally created to improve large-scale forecasts in the ECMWF model was converted for use in the WRF model. The stochastic kinetic energy backscatter, or SKEB, scheme injects kinetic energy at all scales using a forced power spectrum. Its utility in a convection-allowing ensemble was analyzed and found to add significant ensemble spread while also reducing ensemble mean error. The SKEB scheme does not perturb any moisture variables, but was successful in causing slight improvements to precipitation forecasts. The final portion of this dissertation features an exploratory study to determine a perturbation strategy for the land-surface model component. Literature review revealed many uncertainties in current land-surface models that have not been accounted for in prior experimental convection-allowing ensembles. A set of perturbations that reflect uncertainty in the calculation of sensible and latent heat flux was determined and applied to a small set of cases. The sensitivity of convection forecasts to these perturbations was assessed and compared to that from other physics perturbations… Advisors/Committee Members: Wang, Xuguang (advisor), Xue, Ming (advisor), Stensrud, David (committee member), Shapiro, Alan (committee member), Hong, Yang (committee member), Luo, Yiqi (committee member), Wang, Xuguang (committee member), Xue, Ming (committee member).

Subjects/Keywords: Meteorology; Numerical Weather Prediction; ensemble forecasting; deep moist convection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Duda, J. (2016). OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34801

Chicago Manual of Style (16^th Edition):

Duda, Jeffrey. “OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/34801.

MLA Handbook (7^th Edition):

Duda, Jeffrey. “OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE.” 2016. Web. 09 Mar 2021.

Vancouver:

Duda J. OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/34801.

Council of Science Editors:

Duda J. OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34801

University of Oklahoma

13. Hui, Dafeng. Experimental and modeling studies of canopy radiation and water use efficiencies, soil respiration and net ecosystem carbon exchange.

Degree: PhD, Department of Microbiology and Plant Biology, 2002, University of Oklahoma

URL: http://hdl.handle.net/11244/480

► Canopy radiation and water use efficiencies (RUE and WUE), soil respiration and interannual availability in net ecosystem carbon exchange (NEE) are important issues in global… (more)

▼ Canopy radiation and water use efficiencies (RUE and WUE), soil respiration and interannual availability in net ecosystem carbon exchange (NEE) are important issues in global climate change study. This thesis summarized four independent projects. Firstly, I used a unique environmentally controlled plant growth facility, EcoCELLs, to examine the effects of elevated [CO2] on RUE and WUE of sunflowers. Results indicated that elevated [CO2] enhanced daily total canopy carbon and water fluxes by 53% and 11%, respectively, resulting in 54% increase in RUE and 26% increase in WUE. Plant canopy consumed more water but utilized water and radiation more efficiently at elevated [CO 2]. Secondly, I investigated the effects of a gradual versus step increases in [CO2] on plant photosynthesis and growth at two nitrogen (N) levels in microcosms. The step CO2 treatment resulted in an immediate increase in photosynthetic carbon fixation, leading to a decrease in N concentration, while gradual CO2 treatment induced a gradual increase in photosynthesis, and less reduction in N concentration. Both the gradual and step CO2 increases resulted in decreases in specific leaf area, leaf N concentration but an increase in plant biomass. Thirdly, I applied a modified process-based soil respiration model (PATCIS) to evaluate soil CO2 production and transport at the Duke Forest FACE site. Simulated Soil CO2 efflux showed strong seasonal variations. Root respiration contributed 53% to total soil respiration. Annual Soil CO2 efflux was enhanced by elevated CO2. CO2 transport in the soil may not be an important restraint in surface CO2 efflux. Fourthly, I integrated regression analysis with analysis of variance to partition the interannual variability in NEE. Data of eddy-flux measurements in the Duke Forest showed that effects of the functional change exist in NEE. NEE was mainly controlled by intercepted PAR, VPD, and wind speed. About 16.1% of the variation was explained by interannual variability that caused by the functional change, 1.0% by the environmental factors change, and 70.5% was explained by the seasonal environmental factors change. Long-term measurements of RE and NEE are imperative for establishing sound relationship of NEE with environmental factors and interpreting interannual variation of NEE. Advisors/Committee Members: Luo, Yiqi, (advisor).

Subjects/Keywords: Biogeochemistry.; Biology, Botany.; Water efficiency.; Biotic communities.; Carbon dioxide.; Biology, Ecology.; Plant canopies.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hui, D. (2002). Experimental and modeling studies of canopy radiation and water use efficiencies, soil respiration and net ecosystem carbon exchange. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/480

Chicago Manual of Style (16^th Edition):

Hui, Dafeng. “Experimental and modeling studies of canopy radiation and water use efficiencies, soil respiration and net ecosystem carbon exchange.” 2002. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/480.

MLA Handbook (7^th Edition):

Hui, Dafeng. “Experimental and modeling studies of canopy radiation and water use efficiencies, soil respiration and net ecosystem carbon exchange.” 2002. Web. 09 Mar 2021.

Vancouver:

Hui D. Experimental and modeling studies of canopy radiation and water use efficiencies, soil respiration and net ecosystem carbon exchange. [Internet] [Doctoral dissertation]. University of Oklahoma; 2002. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/480.

Council of Science Editors:

Hui D. Experimental and modeling studies of canopy radiation and water use efficiencies, soil respiration and net ecosystem carbon exchange. [Doctoral Dissertation]. University of Oklahoma; 2002. Available from: http://hdl.handle.net/11244/480

University of Oklahoma

14. Su, Bo. Interactions between ecosystem carbon, nitrogen and water cycles under global change: Results from field and mesocosm experiments.

Degree: PhD, Department of Microbiology and Plant Biology, 2005, University of Oklahoma

URL: http://hdl.handle.net/11244/868

► Biomass removal (BR) and shading (S) increased soil inorganic N, likely due to the severed plant N uptake and reduced microbial N immobilization. Shading increased… (more)

Subjects/Keywords: Ecological disturbances.; Global environmental change.; Biogeochemistry.; Biology, Ecology.; Photosynthesis.; Carbon cycle (Biogeochemistry); Biology, Botany.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Su, B. (2005). Interactions between ecosystem carbon, nitrogen and water cycles under global change: Results from field and mesocosm experiments. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/868

Chicago Manual of Style (16^th Edition):

Su, Bo. “Interactions between ecosystem carbon, nitrogen and water cycles under global change: Results from field and mesocosm experiments.” 2005. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/868.

MLA Handbook (7^th Edition):

Su, Bo. “Interactions between ecosystem carbon, nitrogen and water cycles under global change: Results from field and mesocosm experiments.” 2005. Web. 09 Mar 2021.

Vancouver:

Su B. Interactions between ecosystem carbon, nitrogen and water cycles under global change: Results from field and mesocosm experiments. [Internet] [Doctoral dissertation]. University of Oklahoma; 2005. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/868.

Council of Science Editors:

Su B. Interactions between ecosystem carbon, nitrogen and water cycles under global change: Results from field and mesocosm experiments. [Doctoral Dissertation]. University of Oklahoma; 2005. Available from: http://hdl.handle.net/11244/868

University of Oklahoma

15. Bell, Jesse Eugene. Climate Change Influence on Ecohydrological Processes.

Degree: PhD, 2009, University of Oklahoma

URL: http://hdl.handle.net/11244/318809

► The third study was an investigation the role of experimental warming on carbon-water coupling across multiple ecosystem types. Here I used a meta-analysis technique to… (more)

Subjects/Keywords: Climatic changes; Ecohydrology; Carbon cycle (Biogeochemistry); Hydrologic cycle

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APA (6^th Edition):

Bell, J. E. (2009). Climate Change Influence on Ecohydrological Processes. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318809

Chicago Manual of Style (16^th Edition):

Bell, Jesse Eugene. “Climate Change Influence on Ecohydrological Processes.” 2009. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/318809.

MLA Handbook (7^th Edition):

Bell, Jesse Eugene. “Climate Change Influence on Ecohydrological Processes.” 2009. Web. 09 Mar 2021.

Vancouver:

Bell JE. Climate Change Influence on Ecohydrological Processes. [Internet] [Doctoral dissertation]. University of Oklahoma; 2009. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/318809.

Council of Science Editors:

Bell JE. Climate Change Influence on Ecohydrological Processes. [Doctoral Dissertation]. University of Oklahoma; 2009. Available from: http://hdl.handle.net/11244/318809

University of Oklahoma

16. Zhou, Xuhui. Responses of soil respiration and ecosystem productivity to climate change in southern Great Plains.

Degree: PhD, Department of Microbiology and Plant Biology, 2007, University of Oklahoma

URL: http://hdl.handle.net/11244/1173

► In the second experiment, a long-term experiment was conducted to investigate effects of warming and yearly clipping on soil respiration and its components (autotrophic and… (more)

Subjects/Keywords: Climatic changes Great Plains.; Biology, Ecology.; Atmospheric Sciences.; Biogeochemistry.; Soil aeration.; Soil air.; Soils Carbon content Great Plains.; Biotic communities Great Plains.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhou, X. (2007). Responses of soil respiration and ecosystem productivity to climate change in southern Great Plains. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/1173

Chicago Manual of Style (16^th Edition):

Zhou, Xuhui. “Responses of soil respiration and ecosystem productivity to climate change in southern Great Plains.” 2007. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/1173.

MLA Handbook (7^th Edition):

Zhou, Xuhui. “Responses of soil respiration and ecosystem productivity to climate change in southern Great Plains.” 2007. Web. 09 Mar 2021.

Vancouver:

Zhou X. Responses of soil respiration and ecosystem productivity to climate change in southern Great Plains. [Internet] [Doctoral dissertation]. University of Oklahoma; 2007. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/1173.

Council of Science Editors:

Zhou X. Responses of soil respiration and ecosystem productivity to climate change in southern Great Plains. [Doctoral Dissertation]. University of Oklahoma; 2007. Available from: http://hdl.handle.net/11244/1173

17. Liang, Junyi. Responses of Terrestrial Biogeochemical Cycles to Global Change – Syntheses and Data-Model Integration.

Degree: PhD, 2016, University of Oklahoma

URL: http://hdl.handle.net/11244/46954

► Global observations and model simulations show that atmospheric carbon dioxide (CO2) concentrations and surface temperatures have been and will keep increasing. These environmental changes have… (more)

▼ Global observations and model simulations show that atmospheric carbon dioxide (CO2) concentrations and surface temperatures have been and will keep increasing. These environmental changes have significant influences on terrestrial biogeochemical cycles. On the other way, how changes in terrestrial biogeochemistry in response to the environmental changes can either amplify or alleviate climate change. Soils, the primary research subject of this dissertation, store more than twice as much carbon (C) as the atmosphere. As such, small changes in soil C may have large impacts on the magnitude of atmospheric CO2 concentrations and therefore climate change. However, due to the huge storage and relatively long residence time, how soil C responds to increasing atmospheric CO2 concentrations and surface temperatures is still unclear. The unclear response of soil C is one of the most important reasons for the uncertainties of the magnitude of global change in this century. In this dissertation, I attempted to study the responses of soil C and related biogeochemical processes to increased temperature and CO2 concentrations, through syntheses and data-model integration. In the first study, I estimated the responses of two critical soil C dynamic processes, replenishment and priming effect, to increased C input. With the responses of the two processes, I estimated the net change of soil organic C by increased C input. Results show that approximately 58% of newly added C is transferred into soil organic C (SOC) via replenishment, whereas the additional loss of old SOC due to priming effect only accounts for 8.4% of the added new C in the first year after a one-time new C input. As a result, the new C input leads to a net increase in SOC, ranging from 40% to 49% of the added new C. The magnitude of the net increase in SOC is positively correlated with the nitrogen-to-C ratio of the added substrates. Furthermore, a 100-year modeling experiment confirms that an increase in new C input leads to significant SOC accumulation over time. The findings suggest that increasing plant productivity and the consequent increase in C input to soils likely promote SOC storage despite the enhanced decomposition of old C, potentially mitigating further climate change. The first study evaluated impacts of C input on soil C dynamics. My second study evaluated how nitrogen (N) regulates C input under elevated CO2. A popular hypothesis of the N constraint to the CO2 fertilization effect is progressive N limitation (PNL), which postulates that the stimulation of plant growth by CO2 enrichment results in more N sequestered in plant, litter and soil organic matter (SOM) so that, the N availability for plant growth progressively declines in soils over time. The reduced N availability then in turn constrains the further CO2 fertilization effect on plant growth over longer time scales. Although extensive research has explored whether or not PNL occurs under CO2 enrichment, a comprehensive assessment of the N processes that regulate PNL is still lacking.… Advisors/Committee Members: Luo, Yiqi (advisor), McCarthy, Heather (committee member), Souza, Lara (committee member), Wang, Ying (committee member), Xiao, Xiangming (committee member).

Subjects/Keywords: Biology, Ecology.; Biogeochemistry.; Biology, Plant Physiology.; Biology, Microbiology.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liang, J. (2016). Responses of Terrestrial Biogeochemical Cycles to Global Change – Syntheses and Data-Model Integration. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/46954

Chicago Manual of Style (16^th Edition):

Liang, Junyi. “Responses of Terrestrial Biogeochemical Cycles to Global Change – Syntheses and Data-Model Integration.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed March 09, 2021. http://hdl.handle.net/11244/46954.

MLA Handbook (7^th Edition):

Liang, Junyi. “Responses of Terrestrial Biogeochemical Cycles to Global Change – Syntheses and Data-Model Integration.” 2016. Web. 09 Mar 2021.

Vancouver:

Liang J. Responses of Terrestrial Biogeochemical Cycles to Global Change – Syntheses and Data-Model Integration. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/11244/46954.

Council of Science Editors:

Liang J. Responses of Terrestrial Biogeochemical Cycles to Global Change – Syntheses and Data-Model Integration. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/46954

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