Processes In Natural Systems Research Articles

Reflooding the coupled human and natural system of the Waza-Logone Floodplain, Cameroon

The rewilding framework is used to guide the restoration of ecological processes in natural systems, but the framework can also be used in the restoration of social and ecological processes in coupled human and natural systems. We use the case of the large-scale reflooding of the Waza-Logone Floodplain in Cameroon three decades ago as an example of rewilding a coupled human and natural system. Drawing on studies that have been conducted of the Logone Floodplain and Waza National Park over the last five decades, we discuss the reflooding efforts, review the long-term impact of the reflooding, and reflect on the assumptions of the reflooding effort. Our review shows that restoring the hydrological and ecological processes benefitted human populations but was not sufficient for supporting wildlife; and, political dynamics impact ecological processes and must be considered for rewilding to succeed.

Enhancement of vibrationally assisted energy transfer by proximity to exceptional points, probed by fluorescence-detected vibrational spectroscopy

Emulation of energy transfer processes in natural systems on quantum platforms can further our understanding of complex dynamics in nature. One notable example is the demonstration of vibrationally assisted energy transfer (VAET) on a trapped-ion quantum emulator, which offers insights for the energetics of light harvesting. In this work, we expand the study of VAET simulation with trapped ions to a non-Hermitian quantum system comprising a PT-symmetric chromophore dimer weakly coupled to a vibrational mode. We first characterize exceptional points (EPs) and non-Hermitian features of the excitation energy transfer processes in the absence of the vibration, finding a degenerate pair of second-order EPs. Exploring the non-Hermitian dynamics of the whole system including vibrations, we find that energy transfer accompanied by absorption of phonons from a vibrational mode can be significantly enhanced near such a degenerate EP. Our calculations reveal a unique spectral feature accompanying the coalescing of eigenstates and eigenenergies that provides a unique approach to probe the degenerate EP by fluorescence-detected vibrational spectroscopy. Enhancement of the VAET process near the EP is found to be due to maximal favorability of phonon absorption at the degenerate EP, enabling multiple simultaneous excitations. Our work on improving VAET processes in non-Hermitian quantum systems paves the way for leveraging non-Hermiticity in quantum dynamics related to excitation energy transfer. Published by the American Physical Society 2024

Collective Behaviors of Isotropic Micromotors: From Assembly to Reconstruction and Motion Control under External Fields.

Swarms of self-propelled micromotors can mimic the processes of natural systems and construct artificial intelligent materials to perform complex collective behaviors. Compared to self-propelled Janus micromotors, the isotropic colloid motors, also called micromotors or microswimmers, have advantages in self-assembly to form micromotor swarms, which are efficient in resistance to external disturbance and the delivery of large quantity of cargos. In this minireview, we summarize the fundamental principles and interactions for the assembly of isotropic active particles to generate micromotor swarms. Recent discoveries based on either catalytic or external physical field-stimulated micromotor swarms are also presented. Then, the strategy for the reconstruction and motion control of micromotor swarms in complex environments, including narrow channels, maze, raised obstacles, and high steps/low gaps, is summarized. Finally, we outline the future directions of micromotor swarms and the remaining challenges and opportunities.

Promoting climate-resilient cities: Developing an attitudinal analytical framework for understanding the relationship between humans and blue-green infrastructure

Blue-green infrastructure (BGI) is an urban planning approach to hydrological issues that recognises the benefits of using urban green space and naturalised water flows. This process falls under the umbrella of “nature-based solutions” (NBS), i.e., the intentional inclusion of natural system processes within the urban fabric to achieve a range of benefits, including ecosystem services, climate adaptation and mitigation. The planning, design and management of BGI is complex, with multidimensional factors and interactions spanning various fields and disciplines. This complexity can present an obstacle to the adoption, implementation and mainstreaming of the approach. One of the emerging issues and challenges is to understand how diverse stakeholders respond to BGI and how decision makers can comprehend and use such responses. A tool supported by a body of theoretical knowledge is proposed to facilitate the research and investigation of unknown fields. Based on an integrative literature review, this paper formulates an attitudinal analytical framework (AAF) for understanding the human-BGI relationship. The established AAF synthesises, into a framework, multidimensional perspectives and integrates subject-, object- and context-related factors that can influence people's attitudes towards BGI. The proposed AAF bridges disciplinary boundaries, embracing the potential symbiosis among humans, BGI and place. This paper contributes to BGI adoption by forming the basis for further inter- and transdisciplinary research and practices of BGI. Its significance lies in establishing a theoretical framework to better our understanding of the human-BGI relationship, which is a prerequisite to the successful implementation of effective BGI, thereby promoting climate-resilient cities.

A Hierarchy of Interactions between Pathogenic Virus and Vertebrate Host

This review is of basic models of the interactions between a pathogenic virus and vertebrate animal host. The interactions at the population level are described by a predatory-prey model, a common approach in the ecological sciences, and depend on births and deaths within each population. This ecological perspective is complemented by models at the genetical level, which includes the dynamics of gene frequencies and the mechanisms of evolution. These perspectives are symmetrical in their relatedness and reflect the idealized forms of processes in natural systems. In the latter sections, the general use of deep learning methods is discussed within the above context, and proposed for effective modeling of the response of a pathogenic virus in a pathogen–host system, which can lead to predictions about mutation and recombination in the virus population.

The Impact of Dissolved Organic Matter on Arsenic Mobilization from Goethite in the Presence of Silicic Acid and Phosphate under Reducing Conditions

The release of arsenic (As) adsorbed onto iron oxide (Fe-oxide) surfaces is affected by dissolved organic matter (DOM), phosphate (hereafter referred to as PO4), and silicic acid (H4SiO4). Further, the reductive dissolution of As from Fe-oxide phases is also affected in reduced soils and sediments. Thus, the aim of this study was to understand the adsorption competition and redox-related mechanisms by which DOM affects As mobilization from Fe-oxide in a complex system containing both H4SiO4 and PO4. The results demonstrated that the DOM-driven, microbially mediated As biotransformation, and, thus, mobilization of As significantly increased when both dissolved inorganic H4SiO4 and PO4 were present, as the co-presence of H4SiO4 and PO4 decreased As adsorption sites on Fe-oxides. The availability of DOM in the co-presence of H4SiO4 and PO4 increased the microbial activity in the system by providing more substrates for microbial metabolism, which also decreased the redox potential (reducing conditions) and consumed acidity, causing the pH to increase from 4 to 6.8. In addition, DOM, H4SiO4, and PO4 competed with As for sorption sites on Fe-oxides. The effects of DOM on As mobility by DOM-mediated or -triggered redox reactions were apparently stronger in the co-presence of H4SiO4 and PO4 than DOM competition with arsenate for sorption sites on Fe-oxide alone. These findings advance our understanding of As mobilization processes in natural systems and can provide information for soil As management.

Mathematical model of surface water quality dynamics in river basin catchments

To conduct quantitative and qualitative assessment of activities in the catchment areas of river basins using a variety of principles and methods, multi-year systematic objectively hydrological, hydrogeochemical and economic information and analytical materials are needed.  At the same time, the scientific and theoretical value of surface water quality assessment of river basins is determined to some extent by the mathematical correctness of the tasks and methods of their solutions, which characterize the validity and reliability of hydrogeochemical processes of watershed areas of river basins, which dictates the need for structural analysis of complex hydrochemical indexes of surface water pollution assessment, based on natural laws, principles and properties of natural processes. The aim of the study is to develop mathematical models based on the genetic theory of hydrochemical processes of the natural system to assess activities in the watershed territories of river basins. In this paper developed mathematical models to improve the tools to assess the quality of surface waters of river basin catchments, based on the solution of differential equations of hydrochemical processes of natural systems, corresponding to the physical and mathematical sign of the practical problems of hydrochemistry and the principles of non-linearity of natural processes, are the result of using classical mathematical methods of modelling and their analytical analysis The proposed approach to the assessment of surface water quality in the catchment area of river basins in conjunction with geographical analysis can be used for comprehensive geo-ecological studies to develop recommendations for the rational management of water resources under anthropogenic activities.

Digital Globalization in the International Development of Strategic Alliances

Abstract. Over the past century, the rate of globalization has substantially grown due to the increasing impact of transnational companies, development of digital communications systems, integration of new technologies and the increasing need for rapid response to changes by transforming life orientations of society. Establishment of strategic alliances and enlargement of international companies are becoming more relevant in the digital services and informational support sector because of the constant development of technologies and the enhancement of legislation in many countries regarding authors' rights, patenting and intellectual property, which encourages the search for new possibilities of reducing corporate expenses and expanding sales markets and influence.
 Aim and tasks. The article is aimed at examining key globalization processes in the development of strategic alliances of transnational companies in the period of economy digitalization and providing recommendations for improving ecological and economic situations caused by globalization in developing countries.
 Results. The article analyzes key risks caused by globalization processes, Ukraine’s current situation and future trends. It analyzes Ukraine’s major transnational companies and their operating strategies, develops an activity scheme of donor countries of transnational corporations and recipient countries that most frequently serve as a financial or resource potential for the company. One has advanced an assessment model of the globalization level in the country, developed the table of globalization effects. Using KOF Globalisation Index, one has made a forecast for the future of Ukraine and other countries, provided recommendations for improving its calculation by putting an index of ecological impact of international companies on the situation in the country and the ecosystem before and after company’s entrance to the national market. 
 Conclusions. Digital globalization processes increase the impact on international markets and establish a separate market of international digital services. Therefore, the establishment of strategic alliances based on digitalization and intelligent technologies enhances the efficiency of activities of transnational companies but requires further advancement of institutional support in the development of regulated rules of conduct on the information market. Following the analysis results, one has found out that the core problem of international companies operating in the territory of developing countries is the irrational use of natural resources. One has proven that, taking into account the level of globalization, it is viable to estimate the ecological impact of international companies on the ecosystem state in the given country, examine changes caused by globalization processes in natural systems as a result of social and political globalization changes in order to protect the economy and natural resources from the irrational use.

Hierarchically encapsulating enzymes with multi-shelled metal-organic frameworks for tandem biocatalytic reactions

Biocatalytic transformations in living organisms, such as multi-enzyme catalytic cascades, proceed in different cellular membrane-compartmentalized organelles with high efficiency. Nevertheless, it remains challenging to mimicking biocatalytic cascade processes in natural systems. Herein, we demonstrate that multi-shelled metal-organic frameworks (MOFs) can be used as a hierarchical scaffold to spatially organize enzymes on nanoscale to enhance cascade catalytic efficiency. Encapsulating multi-enzymes with multi-shelled MOFs by epitaxial shell-by-shell overgrowth leads to 5.8~13.5-fold enhancements in catalytic efficiencies compared with free enzymes in solution. Importantly, multi-shelled MOFs can act as a multi-spatial-compartmental nanoreactor that allows physically compartmentalize multiple enzymes in a single MOF nanoparticle for operating incompatible tandem biocatalytic reaction in one pot. Additionally, we use nanoscale Fourier transform infrared (nano-FTIR) spectroscopy to resolve nanoscale heterogeneity of vibrational activity associated to enzymes encapsulated in multi-shelled MOFs. Furthermore, multi-shelled MOFs enable facile control of multi-enzyme positions according to specific tandem reaction routes, in which close positioning of enzyme-1-loaded and enzyme-2-loaded shells along the inner-to-outer shells could effectively facilitate mass transportation to promote efficient tandem biocatalytic reaction. This work is anticipated to shed new light on designing efficient multi-enzyme catalytic cascades to encourage applications in many chemical and pharmaceutical industrial processes.

Antimony isotope fractionation in hydrothermal systems

In order to characterize antimony (Sb) isotope fractionation in hydrothermal systems, we present Sb isotope compositions of primary stibnite ores from a large Sb deposit in south China. A total number of 39 analyses reveals a large δ123Sb range of −0.27 to +0.86‰, representing an up to 1.13‰ variation in this hydrothermal system. A gradual increase of Sb isotope ratios from the proximal to the distal parts was observed in stibnite ores. Rayleigh distillation models the systematic variation trend of the Sb isotope values, demonstrating that ore fluids are preferentially enriched in heavier Sb isotopes during the precipitation of isotopically light stibnite. In this way, we consider that separation of stibnite from a Sb-bearing fluid related to reaction kinetics as a cause for Sb isotope fractionation. The modeled data constrain a Sb isotope fractionation factor (αfluid-stibnite) between hydrothermal fluid and stibnite at approximately 0.9994. The model also constrains an initial Sb isotope value of ~0.45‰, which indicates metal sources in the basement rocks of the study area. Given that distal stibnites possess higher Sb isotopic values, Sb isotopes could be used to fingerprint hydrothermal fluid flow and unravel different processes in natural systems.

Phase Transition and Crystallization Kinetics of a Supramolecular System in a Microfluidic Platform

Supramolecular self-assembly is a key process in natural systems, allowing for the formation of structures across all length scales with a wide range of functionalities. Notable progress has been m...

Assessing the impact of increased legume production in Europe on global agricultural emissions

The increased use of legumes is viewed as a promising option to mitigate climate change, as they are a source of proteins and provide nitrogen to the soil. In this paper, we evaluate a strategy for the increased use of legumes in Europe until 2050 by integrating a large array of food and natural system processes into a consistent modeling framework. Three contrasting scenarios are studied: a supply-side scenario entailing a change in the animal feed mix, a demand-side scenario entailing a shift in human diet, and a combination of the shift in human diet with a reforestation in Europe. We find that mitigated emissions are much higher in the two diet shift scenarios (-231 and -259 MtCO2eq, respectively) than in the supply-side scenario (-10 MtCO2eq). Therefore, the main environmental benefit of legumes is to provide proteins as a substitute for animal products rather than enabling a lower consumption of synthetic fertilizer through increased leguminous nitrogen fixation. Diet shift scenarios require a lower use of lands that can then be used to either reduce intensification or reforest. In the former case, the reduction in emissions concerns almost exclusively non-CO2 emissions, mainly through enteric fermentation and manure management, and occurs largely outside Europe. In the latter case, the livestock sector still represents a substantial share of the emission reduction but is outpaced by CO2 emissions through carbon sequestration. An increase in legume production substantially reduces greenhouse gas emissions from the AFOLU sector only when combined with a change in diet, and its combination with reforestation allows the emission reduction to be relocated to Europe through carbon sequestration. Our study concludes that an increase in legume production accompanied by appropriate measures on both the supply and demand side can be effective in reducing emissions. These results can be used to design the European Commission’s “Farm to Fork” strategy for sustainable food and to support climate-friendly farming practices of the post-2020 European common agricultural policy.

Effects of elk and bison carcasses on soil microbial communities and ecosystem functions in Yellowstone, USA

AbstractCarrion is long recognized as important to scavengers. How carrion may affect soil microbial biodiversity and ecosystem processes in natural systems is comparatively unknown, but is important for the intersection of vertebrate food webs, below‐ground processes and ecological heterogeneity.We assessed in situ soil and plant responses to wolf‐killed mammal carrion in Yellowstone National Park, USA.Bison and elk carcasses increased soil respiration and vegetation nutrient concentration and the carcasses contain altered bacterial and fungal communities compared to control plots. The ‘fingerprints’ of soil microbial taxa associated with bison compared to elk carcasses differed considerably and taxa are found dependent upon abiotic gradients and soil properties.We found evidence that soil microbial community changes associated with carcasses may not be as generalizable as previously thought, which is important for a mechanistic understanding of the links between carrion and soil heterogeneity and potentially for applications in forensic science.This work demonstrates the importance of carrion studies in natural systems. Our findings show that carrion creates distinct ecological patterns that contribute to both above‐ and below‐ground biological heterogeneity, linking carrion distribution dynamics with soil microbial biodiversity and ecosystem functions.

Macroscopic and microscopic behaviors of Mn(II) (ad)sorption to goethite with the effects of dissolved carbonates under anoxic conditions

Manganese and its compounds have been extensively studied because of their far-reaching roles in a wide range of biogeochemical processes in natural systems. The (ad)sorption behavior of Mn(II), however, is poorly understood despite its important role as the primary reaction step for surface-catalyzed Mn(II) oxidation that is the principal abiotic process forming various Mn (oxyhydr)oxides in nature. Here, we systematically examined Mn(II) (ad)sorption to one of the most common natural sorbents, goethite, in oxygen- and carbonate-free systems. Traditional sorption edge and isotherm experiments were conducted by varying sorbate-to-sorbent ratio (0.027–15 μmol∙m−2) and solution pH (pH 5.0–9.0). The effects of dissolved carbonates on Mn(II) sorption were also assessed in a range of naturally prevalent concentrations (0.5–10 mM NaHCO3). The Mn(II) uptake on goethite followed a typical Langmuir isotherm in the absence of dissolved carbonates, with increasing maximum adsorption capacities (Γmax) from 0.19 at pH 6.5 to 3.4 μmol∙m−2 at pH 9.0. The presence of dissolved carbonates raised the extent of Mn(II) adsorption, which appeared to be directly correspondent to that of the adsorption of dissolved carbonates. Extended X-ray absorption fine structure (EXAFS) analysis indicated that Mn(II) predominantly formed inner-sphere binuclear bidentate surface complexes. Mn(II) uptake became deviated from the Langmuir model and showed a clear indication of surface precipitation when the Mn(II) sorption density (Γ) exceeded a threshold value in a given solution composition. This secondary Mn(II) phase was identified as rhodochrosite using X-ray diffraction (XRD) and transmission electron microscope (TEM). Additionally, it would be plausible that a minor fraction of adsorbed Mn(II) coexisted with the secondary rhodochrosite according to a linear combination fitting (LCF) of the X-ray absorption near edge structure (XANES) spectra of Mn reference and samples. These systematic investigations of the macroscopic and microscopic behaviors of Mn(II) (ad)sorption to goethite provide a critical avenue for disentangling surface-catalytic Mn(II) oxidation processes, which ultimately lead to the formation of diverse Mn (oxyhydr)oxides in the environment.

Artificial Reactor with Alterable Tandem Channeling for the Formation of Self‐Screened Catalytic Ability

AbstractInspired by the polymeric “soft” properties and divisional isolation of tandem processes in natural systems, an artificial reactor with self‐screened catalytic ability was fabricated with a polymeric tri‐layer architecture. The non‐responsive middle layer encapsulated catalytic metal nanoparticles, while the two outer layers consisted of a negatively and a positively thermosensitive imprinted polymer. The inverse responsiveness of the outer layers induced switchable shapes, which led to alterable tandem channeling to the reactive middle layer and, as a result, the divisional admission of different substrates. This way, the reactor led to the formation of self‐screened catalytic ability. The design for this artificial reactor offers promising prospects for struggling tandem catalysts, suggesting opportunities to develop schedulable tandem processes.

Tree-like structure driven water transfer in 1D fiber assemblies for Functional Moisture-Wicking Fabrics

Effective moisture transfer is a fundamental process in natural systems, especially plants, and serves as an inspiration for engineered materials. Despite outstanding progress in bionic engineering to simulate water movement within trees, biomimetic design in one-dimensional (1D) fiber assemblies is still limited. Here, an advanced composite yarn structure inspired by the moisture transfer in trees is reported. Utilizing the scale difference between cotton fibers and electrospun nanofibers, the engineered tree-like-core spun yarn effectively transported liquid moisture from one side of the yarn to the other. The core structure of the spun yarn was precisely designed by controlling the fineness of the nanofibers and the thickness of the nanofiber layer. Moreover, fabrics based on the tree-like-core spun yarn had reduced relative water content on the top surface (0%) and a high one-way transport index of 846%, which is more than twice as high as traditional fabrics, demonstrating potential for moisture-heat transmission, biosensors, and microfluidics applications.

Protective microbiomes can limit the evolution of host pathogen defense.

The evolution of host immunity occurs in the context of the microbiome, but little theory exists to predict how resistance against pathogens might be influenced by the need to tolerate and regulate commensal microbiota. We present a general model to explore the optimal investment in host immunity under conditions in which the host can, versus cannot easily distinguish among commensal versus pathogenic bacteria, and when commensal microbiota can, versus cannot protect the host against the impacts of pathogen infection. We find that a loss of immune vigilance associated with innate immunity over evolutionary time can occur due to the challenge of discriminating between pathogenic and other microbe species. Further, we find the greater the protective effect of microbiome species, acting either directly or via competition with a pathogen, or the higher the costs of immunity, the more likely the loss of immune vigilance is. Conversely, this effect can be reversed when pathogens increase host mortality. Generally, the magnitude of costs of immunity required to allow evolution of decreased immune vigilance are predicted to be lowest when microbiome and pathogen species most resemble each other (in terms of host recognition), and when immune effects on the pathogen are weak. Our model framework makes explicit the core trade‐offs likely to shape the evolution of immunity in the context of microbiome/pathogen discrimination. We discuss how this informs interpretation of patterns and process in natural systems, including vulnerability to pathogen emergence.

Genetic Algorithm – A Sensible Evolutionary Optimization Technique

The study presents a pragmatic outlook of genetic algorithm. Many biological algorithms are inspired for their ability to evolve towards best solutions and of all; genetic algorithm is widely accepted as they well suit evolutionary computing models. Genetic algorithm could generate optimal solutions on random as well as deterministic problems. Genetic algorithm is a mathematical approach to imitate the processes studied in natural evolution. The methodology of genetic algorithm is intensively experimented in order to use the power of evolution to solve optimization problems. Genetic algorithm is an adaptive heuristic search algorithm based on the evolutionary ideas of genetics and natural selection. Genetic algorithm exploits random search approach to solve optimization problems. Genetic algorithm takes benefits of historical information to direct the search into the convergence of better performance within the search space. The basic techniques of evolutionary algorithms are observed to be simulating the processes in natural systems. These techniques are aimed to carry effective population to the next generation and ensure the survival of the fittest. Nature supports the domination of stronger over the weaker ones in any kind. In this study, we proposed the arithmetic views of the behavior and operators of genetic algorithm that support the evolution of feasible solutions to optimized solutions.

Aquatic vegetation responses to island construction (habitat restoration) in a large floodplain river

AbstractThe Upper Mississippi River is maintained in its current navigable state through impoundments, dredging, and other engineering projects. These stressors, along with anthropogenic impacts and natural system processes, led to declines in aquatic vegetation and the loss of fish and wildlife habitat, with a major downturn the late 1980s and early 1990s. Large‐scale restoration projects, such as the one evaluated here, are primarily designed to rehabilitate and enhance fish and wildlife habitat. We determined whether an individual restoration project, construction of an island complex, fulfilled a programmatic goal of re‐establishing diverse and abundant native aquatic vegetation. Eighteen years of aquatic vegetation monitoring data from impact and reference areas were compared to evaluate the anticipated direct effects (within 400 m of the constructed islands) and indirect effects (>400 m downstream of constructed islands) of restoration. Impact areas were also compared with an unrestored negative reference area ~200 km downstream of the project and with a positive reference area in adjacent, relatively natural backwaters. Only indirect effects of restoration were evident. Prevalence and species richness of aquatic vegetation in both of the impact areas and in the negative reference area increased prior to restoration, suggesting large‐scale improvement independent of the project examined here. Indirect effects were demonstrated as further increases in both prevalence and species richness coinciding with restoration in the area >400 m downstream of the restoration. We conclude that increased abundance and diversity of aquatic vegetation was partially achieved, with observed improvements potentially linked to reduced wind fetch.

Soil Media CO2 and N2O Fluxes Dynamics from Sand-Based Roadside Bioretention Systems

Green stormwater infrastructure such as bioretention is commonly implemented in urban areas for stormwater quality improvements. Although bioretention systems’ soil media and vegetation have the potential to increase carbon (C) and nitrogen (N) storage for climate change mitigation, this storage potential has not been rigorously studied, and any analysis of it must consider the question of whether bioretention emits greenhouse gases to the atmosphere. We monitored eight roadside bioretention cells for CO2-C and N2O-N fluxes during two growing seasons (May through October) in Vermont, USA. C and N stocks in the soil media layers, microbes, and aboveground vegetation were also quantified to determine the overall C and N balance. Our bioretention cells contained three different treatments: plant species mix (high diversity versus low diversity), soil media (presence or absence of P-sorbent filter layer), and hydrologic (enhanced rainfall and runoff in some cells). CO2-C and N2O-N fluxes from all cells averaged 194 mg m−2 h−1 (range: 37 to 374 mg m−2 h−1) and 10 µg m−2 h−1 (range: −1100 to 330 µg m−2 h−1), respectively. There were no treatment-induced changes on gas fluxes. CO2-C fluxes were highly significantly correlated with soil temperature (R2 = 0.68, p < 0.0001), while N2O-N fluxes were weakly correlated with temperature (R2 = 0.017, p = 0.04). Bioretention soil media contained the largest pool of total C and N (17,122 g and 1236 g, respectively) when compared with vegetation and microbial pools. Microbial biomass C made up 14% (1936 g) of the total soil C in the upper 30 cm media layer. The total C and N sequestered by bioretention plants were 13,020 g and 320 g, respectively. After accounting for C and N losses via gas fluxes, the bioretention appeared to be a net sink for those nutrients. We also compared our bioretention gas fluxes to those from a variety of natural (i.e., grasslands and forests) and artificial (i.e., fertilized and irrigated or engineered) land-use types. We found bioretention fluxes to be in the mid-range among these land-use types, mostly likely due to organic matter (OM) influences on decomposition being similar to processes in natural systems.