Stem Carbon Dioxide Efflux of Lignophytes Exceeds That of Cycads and Arborescent Monocots

Tree stem CO2 efflux (Es) can be substantial and the factors controlling ecosystem-level Es are required to fully understand the carbon cycle and construct models that predict atmospheric CO2 dynamics. The majority of Es studies used woody lignophyte trees as the model species. Applying these lignophyte data to represent all tree forms can be inaccurate. The Es of 318 arborescent species was quantified in a common garden setting and the results were sorted into four stem growth forms: cycads, palms, monocot trees that were not palms, and woody lignophyte trees. The woody trees were comprised of gymnosperm and eudicot species. The Es did not differ among the cycads, palms, and non-palm monocots. Lignophyte trees exhibited Es that was 40% greater than that of the other stem growth forms. The Es of lignophyte gymnosperm trees was similar to that of lignophyte eudicot trees. This extensive species survey indicates that the Es from lignophyte tree species do not align with the Es from other tree growth forms. Use of Es estimates from the literature can be inaccurate for understanding the carbon cycle in tropical forests, which contain numerous non-lignophyte tree species.

Managing the industrial enterprises development in ecosystem interaction

The article considers a new approach to managing the development of enterprises operating in a period of digital transformations and ecosystem interaction. The concepts of sustainability and development in an economic context have been analysed. The author’s interpretation of the concept of sustainable development has been outlined and the factors that ensure the development and sustainability of enterprises have been identified. The benefits and limitations of sustainable development management, and the specific of data analysis in the digital ecosystem of the industrial enterprise as a component of sustainability and security of actors, have been defined. The components of a sustainable development framework have been identified and the effects obtained at the ecosystem level of interaction have been highlighted. Guidelines for new management approaches to the organisation of modern business processes and management decisions have been given.

Major Evolutionary Transitions and the Roles of Facilitation and Information in Ecosystem Transformations

A small number of extraordinary “Major Evolutionary Transitions” (METs) have attracted attention among biologists. They comprise novel forms of individuality and information, and are defined in relation to organismal complexity, irrespective of broader ecosystem-level effects. This divorce between evolutionary and ecological consequences qualifies unicellular eukaryotes, for example, as a MET although they alone failed to significantly alter ecosystems. Additionally, this definition excludes revolutionary innovations not fitting into either MET type (e.g., photosynthesis). We recombine evolution with ecology to explore how and why entire ecosystems were newly created or radically altered – as Major System Transitions (MSTs). In doing so, we highlight important morphological adaptations that spread through populations because of their immediate, direct-fitness advantages for individuals. These are Major Competitive Transitions, or MCTs. We argue that often multiple METs and MCTs must be present to produce MSTs. For example, sexually-reproducing, multicellular eukaryotes (METs) with anisogamy and exoskeletons (MCTs) significantly altered ecosystems during the Cambrian. Therefore, we introduce the concepts of Facilitating Evolutionary Transitions (FETs) and Catalysts as key events or agents that are insufficient themselves to set a MST into motion, but are essential parts of synergies that do. We further elucidate the role of information in MSTs as transitions across five levels: (I) Encoded; (II) Epigenomic; (III) Learned; (IV) Inscribed; and (V) Dark Information. The latter is ‘authored’ by abiotic entities rather than biological organisms. Level IV has arguably allowed humans to produce a MST, and V perhaps makes us a FET for a future transition that melds biotic and abiotic life into one entity. Understanding the interactive processes involved in past major transitions will illuminate both current events and the surprising possibilities that abiotically-created information may produce.

TbasCO: Trait-based Comparative ’Omics Identifies Ecosystem-Level and Niche- Differentiating Adaptations of an Engineered Microbiome

ABSTRACTA grand challenge in microbial ecology is disentangling the traits of individual populations within complex communities. Various cultivation-independent approaches have been used to infer traits based on the presence of marker genes. However, marker genes are not linked to traits with complete fidelity, nor do they capture important attributes, such as the timing of expression or coordination among traits. To address this, we present an approach for assessing the trait landscape of microbial communities by statistically defining a trait attribute as shared transcriptional pattern across multiple organisms. Leveraging the KEGG pathway database as a trait library and the Enhanced Biological Phosphorus Removal (EBPR) model microbial ecosystem, we demonstrate that a majority (65%) of traits present in 10 or more genomes have niche-differentiating expression attributes. For example, while 14 genomes containing the high-affinity phosphorus transporter pstABCS display a canonical attribute (e.g. up-regulation under phosphorus starvation), we identified another attribute shared by 11 genomes where transcription was highest under high phosphorus conditions. Taken together, we provide a novel framework for revealing hidden metabolic versatility when investigating genomic data alone by assigning trait-attributes through genome-resolved time-series metatranscriptomics.

Thermodynamic constraints on the assembly and diversity of microbial ecosystems are different near to and far from equilibrium

Non-equilibrium thermodynamics has long been an area of substantial interest to ecologists because most fundamental biological processes, such as protein synthesis and respiration, are inherently energy-consuming. However, most of this interest has focused on developing coarse ecosystem-level maximisation principles, providing little insight into underlying mechanisms that lead to such emergent constraints. Microbial communities are a natural system to decipher this mechanistic basis because their interactions in the form of substrate consumption, metabolite production, and cross-feeding can be described explicitly in thermodynamic terms. Previous work has considered how thermodynamic constraints impact competition between pairs of species, but restrained from analysing how this manifests in complex dynamical systems. To address this gap, we develop a thermodynamic microbial community model with fully reversible reaction kinetics, which allows direct consideration of free-energy dissipation. This also allows species to interact via products rather than just substrates, increasing the dynamical complexity, and allowing a more nuanced classification of interaction types to emerge. Using this model, we find that community diversity increases with substrate lability, because greater free-energy availability allows for faster generation of niches. Thus, more niches are generated in the time frame of community establishment, leading to higher final species diversity. We also find that allowing species to make use of near-to-equilibrium reactions increases diversity in a low free-energy regime. In such a regime, two new thermodynamic interaction types that we identify here reach comparable strengths to the conventional (competition and facilitation) types, emphasising the key role that thermodynamics plays in community dynamics. Our results suggest that accounting for realistic thermodynamic constraints is vital for understanding the dynamics of real-world microbial communities.

Design and implementation of an illumination system to mimic skyglow at ecosystem level in a large-scale lake enclosure facility

Light pollution is an environmental stressor of global extent that is growing exponentially in area and intensity. Artificial skyglow, a form of light pollution with large range, is hypothesized to have environmental impact at ecosystem level. However, testing the impact of skyglow at large scales and in a controlled fashion under in situ conditions has remained elusive so far. Here we present the first experimental setup to mimic skyglow at ecosystem level outdoors in an aquatic environment. Spatially diffuse and homogeneous surface illumination that is adjustable between 0.01 and 10 lx, resembling rural to urban skyglow levels, was achieved with white light-emitting diodes at a large-scale lake enclosure facility. The illumination system was enabled by optical modeling with Monte-Carlo raytracing and validated by measurements. Our method can be adapted to other outdoor and indoor skyglow experiments, urgently needed to understand the impact of skyglow on ecosystems.

Entrepreneurial ecosystems: A study of organizational interactions and interrelations in entrepreneurial ecosystems

<p>Entrepreneurial ecosystems are emerging around the world, and their relevance in business and management is increasing. Practitioners and researchers are using biological metaphors to understand collaborative aspects of entrepreneurial ecosystems. This thesis explores the use of bio-ecological metaphors to study interactions and interrelations taking place in entrepreneurial ecosystems. Specifically, it examines the characteristics of an ecosystem that influence interactions and interrelations within ecosystems. This thesis is part of a qualitative ethnographic research that employs an inductive approach to data analyses. It studies a New Zealand based ecosystem and presents findings on three characteristics that influence interactions and interrelations in ecosystems: interdependence, diversity, and organizational birth and death cycles. In doing so, this thesis makes a number of contributions to management theory and practice. Firstly, it combines aspects of organizational ecology and open-systems theory to develop an ecosystem-level unit of analysis. By using an ecosystem lens, researchers can better observe collaborative aspects of organizations. Secondly, findings suggest that increasing the degree of interdependency and diversity and facilitating organizational birth and death cycles can enhance levels of interaction and interrelations in ecosystems. This implies that more skills, knowledge, ideas, resources, and different forms of support can be exchanged within ecosystems. Such exchange can enrich ecosystems.</p>

Entrepreneurial ecosystems: A study of organizational interactions and interrelations in entrepreneurial ecosystems

<p>Entrepreneurial ecosystems are emerging around the world, and their relevance in business and management is increasing. Practitioners and researchers are using biological metaphors to understand collaborative aspects of entrepreneurial ecosystems. This thesis explores the use of bio-ecological metaphors to study interactions and interrelations taking place in entrepreneurial ecosystems. Specifically, it examines the characteristics of an ecosystem that influence interactions and interrelations within ecosystems. This thesis is part of a qualitative ethnographic research that employs an inductive approach to data analyses. It studies a New Zealand based ecosystem and presents findings on three characteristics that influence interactions and interrelations in ecosystems: interdependence, diversity, and organizational birth and death cycles. In doing so, this thesis makes a number of contributions to management theory and practice. Firstly, it combines aspects of organizational ecology and open-systems theory to develop an ecosystem-level unit of analysis. By using an ecosystem lens, researchers can better observe collaborative aspects of organizations. Secondly, findings suggest that increasing the degree of interdependency and diversity and facilitating organizational birth and death cycles can enhance levels of interaction and interrelations in ecosystems. This implies that more skills, knowledge, ideas, resources, and different forms of support can be exchanged within ecosystems. Such exchange can enrich ecosystems.</p>

The New England Region

This chapter describes the New England region and the major issues facing this marine fisheries ecosystem, and presents some summary statistics related to the 90 indicators of ecosystem-based fisheries management (EBFM) criteria. New England contains the second-lowest number of managed taxa among U.S. marine ecosystems, including historically important groundfish species such as Atlantic cod, haddock, Atlantic halibut, commercially valuable Atlantic sea scallop and American lobster, and federally protected Atlantic salmon. The New England social-ecological system is an environment that is responding to the consequences of overfishing, habitat loss, coastal development, and nutrient loading. Overall, EBFM progress has been made at the regional and subregional levels in implementing ecosystem-level planning, advancing knowledge of ecosystem principles, and examining system trade-offs. While much information has been obtained and applied regarding ecosystem-level calculations, syntheses, and models, only partial progress has been observed in using these system-wide emergent properties in management actions. Despite many of these large-scale efforts toward greater scientific understanding of the New England ecosystem, challenges remain toward effectively implementing formalized EBFM management actions and enacting ecosystem-level control rules. Namely, this region currently lacks a completed fishery ecosystem plan (FEP), and only partial progress has occurred toward considering system catch limits for this region. This ecosystem is excelling in the socioeconomic status of its LMRs, and is relatively productive, as related to the determinants of successful LMR management.

An Examination of Progress Toward Ecosystem-Based Management of Living Marine Resources in the U.S.

This chapter presents a cumulative examination of socioeconomic, governance, ecological, and environmental indicators among the eight major United States (U.S.) marine fishery ecosystems, 26 U.S. subregions, and 14 U.S. participatory regional fisheries management organization (RFMO) jurisdictions. Based on these indicators and as one might expect, some regions are making greater progress toward ecosystem-based fisheries management (EBFM) than others, but in all U.S. marine ecosystems there has been notable progress toward EBFM, albeit on different facets for different regions. Common areas of notable progress toward EBFM are observed around the nation in areas of implementing ecosystem-level planning and advancing understanding of ecosystem processes. Overall, it appears that more inherently productive marine ecosystems tend to have greater biomass, fisheries landings, proportional LMR-based employments, and fisheries revenue. More work remains in areas of ecosystem and community resilience, as well as broader consideration of more systematic measures for a fisheries ecosystem (especially ecosystem-level reference points). Several areas of common challenges and anticipated concerns are identified, with an eye toward focusing efforts on addressing these issues.