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Microorganisms, including bacteria, archaea, viruses, fungi, and protists, are essential to life on Earth and the functioning of the biosphere. Here, we discuss the key roles of microorganisms in achieving the United Nations Sustainable Development Goals (SDGs), highlighting recent and emerging advances in microbial research and technology that can facilitate our transition toward a sustainable future. Given the central role of microorganisms in the biochemical processing of elements, synthesizing new materials, supporting human health, and facilitating life in managed and natural landscapes, microbial research and technologies are directly or indirectly relevant for achieving each of the SDGs. More importantly, the ubiquitous and global role of microbes means that they present new opportunities for synergistically accelerating progress toward multiple sustainability goals. By effectively managing microbial health, we can achieve solutions that address multiple sustainability targets ranging from climate and human health to food and energy production. Emerging international policy frameworks should reflect the vital importance of microorganisms in achieving a sustainable future. Microbes are essential to life on Earth and will be core, with the advent of exciting new technologies, to our ability to achieve the United Nations Sustainable Development Goals for a sustainable future. [ABSTRACT FROM AUTHOR]

The constitutional tradition is based in normality, which allows to think in a general social ordination through a constitutional document. Against the backdrop of the global environmental crisis, which has been described as a transition to a new geological era, as the Anthropocene; scholars and policy-makers are bound to cope with the new situation through the creation of some kind of new constitutional order as an ecological constitution indeed. But, the global transformation produced by the growing entanglement between society and biosphere is generating such a complex scenario that the pretension of order seems out of place. This paper tries to draw some insights from taking this new complexity and uncertainty that it creates seriously. The proposal is to see (constitutional) law rather as an event than an order, in the assumption of a permanent state of exception. [ABSTRACT FROM AUTHOR]

Vegetation phenology plays a key role in controlling the seasonality of ecosystem processes that modulate carbon, water and energy fluxes between the biosphere and atmosphere. Accurate modelling of vegetation phenology in the interplay of Earth's surface and the atmosphere is thus crucial to understand how the coupled system will respond to and shape climatic changes. Phenology is controlled by meteorological conditions at different timescales: on the one hand, changes in key meteorological variables (temperature, water, radiation) can have immediate effects on the vegetation development; on the other hand, phenological changes can be driven by past environmental conditions, known as memory effects. However, the processes governing meteorological memory effects on phenology are not completely understood, resulting in their limited performance of vegetation phenology represented in land surface models. A deep learning model, specifically a long short-term memory network (LSTM), has the potential to capture and model the meteorological memory effects on vegetation phenology. Here, we apply the LSTM to model the vegetation phenology using meteorological drivers and high-temporal-resolution canopy greenness observations through digital repeat photography by the PhenoCam network. We compare a multiple linear regression model, a no-memory-effect LSTM model and a full-memory-effect LSTM model to predict the whole seasonal greenness trajectory and the corresponding phenological transition dates across 50 sites and 317 site years during 2009–2018, covering deciduous broadleaf forests, evergreen needleleaf forests and grasslands. Results show that the deep learning model outperforms the multiple linear regression model, and the full-memory-effect LSTM model performs better than the no-memory-effect model for all three plant function types (median R2 of 0.878, 0.957 and 0.955 for broadleaf forests, evergreen needleleaf forests and grasslands). We also find that the full-memory-effect LSTM model is capable of predicting the seasonal dynamic variations of canopy greenness and reproducing trends in shifting phenological transition dates. We also performed a sensitivity analysis of the full-memory-effect LSTM model to assess its plausibility, revealing its coherence with established knowledge of vegetation phenology sensitivity to meteorological conditions, particularly changes in temperature. Our study highlights that (1) multi-variate meteorological memory effects play a crucial role in vegetation phenology, and (2) deep learning opens up new avenues for improving the representation of vegetation phenological processes in land surface models via a hybrid modelling approach. [ABSTRACT FROM AUTHOR]

In the first of two articles on the ontology of biological entities (appeared in Resonance, Vol.29, No.8, pp.1111–1126), I had discussed how young students of biology intuitively imagine the biosphere, constructed from the bottom up by physical material entities that act as its building blocks. The nature of being, or ontologies, of these entities, it would seem, depend upon the machination of parts and processes confined within their material demarcating structures like membranes, walls, and skins. I suggested that perhaps there is precedence to this view due to the influence of reductionist and mechanical philosophies upon the early development of biological thought. Additionally, this view is mirrored in the way biology is taught in academic institutions today that could reinforce this part–whole, hierarchical imagination of the biosphere. In this article, I discuss the development of biological thought that took shape in the early part of the 18th century that was influenced by and borrowed from contemporary developments in disciplines outside the natural sciences. It arose primarily as a response to the reductionist and mechanical descriptions of living bodies, and may be seen as a move toward a more holistic understanding of the biosphere. These frameworks bring forth the idea of conceptual unities whose ontologies are dynamic and influenced by changes outside their boundaries. Taken together, both these perspectives are useful and necessary for a student of biology to appreciate the diverse and dynamic nature of the biosphere. A useful guide to understanding material and conceptual boundaries is provided. Once again, I take recourse to Robert Frost's poem "Mending Wall" to guide our discussions on the topic. Spring is the mischief in me, and I wonder If I could put a notion in his head: 'Why do they make good neighbors?' Isn't it Where there are cows? But here there are no cows. Before I built a wall I'd ask to know What I was walling in or walling out, And to whom I was like to give offense. Something there is that doesn't love a wall –An extract from Robert Frost's "Mending Wall" [1]. [ABSTRACT FROM AUTHOR]

This review focuses on the crucial role of aquatic ecosystems in preserving biodiversity and the biosphere, as well as the connection between antimicrobial resistance (AMR) and these ecosystems. It provides an in-depth analysis of the link between ecological well-being and public health, helping readers understand this complex subject. Aquatic ecosystems are essential for maintaining biodiversity and ecological balance. Additionally, they act as primary reservoirs and pathways for the spread of antimicrobial resistance (AMR). These ecosystems risk antibiotic contamination through various sources, such as the release of antibiotics from animal and human waste, improper disposal of unused medications, and pharmaceutical industry waste management practices. The presence of antibiotic residues in these environments significantly speeds up the development of bacterial resistance. The global prevalence of antimicrobial resistance (AMR) is evident in freshwater bodies, tributaries, sewage waters, and wastewater treatment facilities. Antimicrobial resistance (AMR) is now a significant public health threat, compromising the effectiveness of many previously successful treatments against various pathogens. One notable and alarming aspect of antimicrobial resistance (AMR) is its rapid development, often occurring within 5–10 years after introducing antimicrobial drugs to the market. This acceleration is closely tied to bacteria's ability to thrive and adapt in the presence of antimicrobial agents and their residues in the environment. The implications of antimicrobial resistance (AMR) include treatment failures with long-term effects and a continuous increase in healthcare costs. This review comprehensively examines the intricate relationship between aquatic habitats, antibiotics, and the global challenge of antimicrobial resistance (AMR). It emphasizes the critical role of these ecosystems in preserving ecological diversity. It raises awareness about AMR's urgent public health issue, laying a foundation for understanding its extensive consequences. [ABSTRACT FROM AUTHOR]

The upper mantle is critical for our understanding of terrestrial magmatism, crust formation, and element cycling between Earth's solid interior, hydrosphere, atmosphere, and biosphere. Mantle composition and evolution have been primarily inferred by surface sampling and indirect methods. We recovered a long (1268-meter) section of serpentinized abyssal mantle peridotite interleaved with thin gabbroic intrusions. We find depleted compositions with notable variations in mantle mineralogy controlled by melt flow. Dunite zones have predominantly intermediate dips, in contrast to the originally steep mantle fabrics, indicative of oblique melt transport. Extensive hydrothermal fluid-rock interaction is recorded across the full depth of the core and is overprinted by oxidation in the upper 200 meters. Alteration patterns are consistent with vent fluid composition in the nearby Lost City hydrothermal field. [ABSTRACT FROM AUTHOR]

Oil reservoirs, being one of the significant subsurface repositories of energy and carbon, host diverse microbial communities affecting energy production and carbon emissions. Viruses play crucial roles in the ecology of microbiomes, however, their distribution and ecological significance in oil reservoirs remain undetermined. Here, we assemble a catalogue encompassing viral and prokaryotic genomes sourced from oil reservoirs. The catalogue comprises 7229 prokaryotic genomes and 3,886 viral Operational Taxonomic Units (vOTUs) from 182 oil reservoir metagenomes. The results show that viruses are widely distributed in oil reservoirs, and 85% vOTUs in oil reservoir are detected in less than 10% of the samples, highlighting the heterogeneous nature of viral communities within oil reservoirs. Through combined microcosm enrichment experiments and bioinformatics analysis, we validate the ecological roles of viruses in regulating the community structure of sulfate reducing microorganisms, primarily through a virulent lifestyle. Taken together, this study uncovers a rich diversity of viruses and their ecological functions within oil reservoirs, offering a comprehensive understanding of the role of viral communities in the biogeochemical cycles of the deep biosphere. Oil reservoirs host diverse microbial communities affecting energy production and carbon emissions. Here, the authors use metagenomics data to construct and characterize a catalogue of viral and prokaryotic genomes from 182 oil reservoirs world-wide, and further validate an ecological role of viruses in regulating the community structure of sulfate reducing microorganisms. [ABSTRACT FROM AUTHOR]

Microorganisms consume and transform dissolved organic matter (DOM) into various forms. However, it remains unclear whether the ecological patterns and drivers of DOM chemodiversity are analogous to those of microbial communities. Here, a large-scale investigation is conducted along the Chinese coasts to resolve the intrinsic linkages among the complex intertidal DOM pools, microbial communities and environmental heterogeneity. The abundance of DOM molecular formulae best fits log-normal distribution and follows Taylor's Law. Distance-decay relationships are observed for labile molecular formulae, while latitudinal diversity gradients are noted for recalcitrant molecular formulae. Latitudinal patterns are also observed for DOM molecular features. Negative cohesion, bacterial diversity, and molecular traits are the main drivers of DOM chemodiversity. Stochasticity analyses demonstrate that determinism dominantly shapes the DOM compositional variations. This study unveils the intrinsic mechanisms underlying the intertidal DOM chemodiversity and microbial communities from ecological perspectives, deepening our understanding of microbially driven chemical ecology. Intertidal DOM follows similar ecological patterns and underlying mechanisms to microbes, suggesting that there may exist universal ecological models explaining the patterns of both living and non-living biological entities in the Earth's biosphere. [ABSTRACT FROM AUTHOR]

Terrestrial, aquatic, and marine ecosystems regulate climate at local to global scales through exchanges of energy and matter with the atmosphere and assist with climate change mitigation through nature‐based climate solutions. Climate science is no longer a study of the physics of the atmosphere and oceans, but also the ecology of the biosphere. This is the promise of Earth system science: to transcend academic disciplines to enable study of the interacting physics, chemistry, and biology of the planet. However, long‐standing tension in protecting, restoring, and managing forest ecosystems to purposely improve climate evidences the difficulties of interdisciplinary science. For four centuries, forest management for climate betterment was argued, legislated, and ultimately dismissed, when nineteenth century atmospheric scientists narrowly defined climate science to the exclusion of ecology. Today's Earth system science, with its roots in global models of climate, unfolds in similar ways to the past. With Earth system models, geoscientists are again defining the ecology of the Earth system. Here we reframe Earth system science so that the biosphere and its ecology are equally integrated with the fluid Earth to enable Earth system prediction for planetary stewardship. Central to this is the need to overcome an intellectual heritage to the models that elevates geoscience and marginalizes ecology and local land knowledge. The call for kilometer‐scale atmospheric and ocean models, without concomitant scientific and computational investment in the land and biosphere, perpetuates the geophysical view of Earth and will not fully provide the comprehensive actionable information needed for a changing climate. Plain Language Summary: Terrestrial ecosystems provide a natural solution to planetary warming by storing carbon, dissipating surface heating through evapotranspiration, and other processes. That forests, in particular, influence climate is a centuries‐old premise, but its potential for planetary stewardship has not been realized. In an acrimonious controversy spanning several centuries, managing forests to purposely change climate was advocated, legislated, and resoundingly dismissed as unscientific. Similar intellectual bias is evident in today's Earth system science and the associated Earth system models, which are the state‐of‐the‐art models used to inform climate policy. The popular characterization of Earth system science lauds its interdisciplinary melding of physics, chemistry, and biology, but the models emphasize the physics and fluid dynamics of the atmosphere and oceans and present a limited perspective of terrestrial ecosystems in the Earth system. Ecologists studying the living world increasingly have a voice in Earth system science as we move beyond the physical basis for climate change to Earth system prediction for planetary stewardship. As we once again look to forests to solve a climate problem, we must surmount the disciplinary narrowness that failed to answer the forest‐climate question in the past and that continues to limit the interdisciplinary potential of Earth system science. Key Points: Nature‐based climate solutions have been advocated for centuries, but have been distorted by academic bias and colonialist prejudiceEarth system science, while recognizing the climate services of the biosphere, has a geophysical bias in interdisciplinary collaborationTo realize the potential for planetary stewardship, Earth system models must embrace the living world equally with the fluid world [ABSTRACT FROM AUTHOR]

Components of the biosphere, dynamic and diverse as they are, can be imagined to assume two rather distinct morphologies. Some present themselves as materially bounded unities, while others lack material boundaries but can appear unified conceptually. In this series of two articles on the ontology (the nature of being or the general features of the object/s of enquiry and also their relationships) of biological phenomena, the development of thought regarding boundedness in biology and the nature of bounded part-whole constructions are discussed. In the first part, I discuss some of the classical developments of biological thought that imagined the biosphere as a collection of material entities that come into being due to functions of components within their material boundaries. I present three instances in early conventional bioscience learning, two of these discussing the biosphere as hierarchical unities and one positing internal mechanisms as being crucial to their material ontology. This pedagogical exercise is intuitive and provides focus to students' imagination. I take recourse to Robert Frost's poem "Mending Wall" to guide discussions on the topic: He is all pine and I am apple orchard. My apple trees will never get across. And eat the cones under his pines, I tell him. He only says, "Good fences make good neighbors." He will not go behind his father's saying. And he likes having thought of it so well. He says again, "Good fences make good neighbors." - An extract from Robert Frost's "Mending Wall" [1]. [ABSTRACT FROM AUTHOR]

Under the Programme of integrated teacher education not a single study is recommended, the study of fish and fisheries is recommended with the study of fresh water pollution. This type study may be integrated with the study of Earth and Earth's layers of Atmosphere, Hydrosphere and Lithosphere. Pollutants are spreaded by any source in the air, soil and water. The Pollution may represent as Air pollution, water pollution and soil pollutions. The pollution is named as per their availability:- Air pollution water Pollution and Land Pollution, Land and Air Pollutants may be dissolved in water, to produce more harmful effects on the life of fishes. [ABSTRACT FROM AUTHOR]

Fossilization, or the transition of an organism from the biosphere to the geosphere, is a complex mechanism involving numerous biological and geological variables. Bacteria are one of the most significant biotic players to decompose organic matter in natural environments, early on during fossilization. However, bacterial processes are difficult to characterize as many different abiotic conditions can influence bacterial efficiency in degrading tissues. One potentially important variable is the composition and nature of the sediment on which a carcass is deposited after death. We experimentally examined this by decaying the marine shrimp Palaemon varians underwater on three different clay sediments. Samples were then analyzed using 16S ribosomal RNA sequencing to identify the bacterial communities associated with each clay system. Results show that samples decaying on the surface of kaolinite have a lower bacterial diversity than those decaying on the surface of bentonite and montmorillonite, which could explain the limited decay of carcasses deposited on this clay. However, this is not the only role played by kaolinite, as a greater proportion of gram-negative over gram-positive bacteria is observed in this system. Gram-positive bacteria are generally thought to be more efficient at recycling complex polysaccharides such as those forming the body walls of arthropods. This is the first experimental evidence of sediments shaping an entire bacterial community. Such interaction between sediments and bacteria might have contributed to arthropods' exquisite preservation and prevalence in kaolinite-rich Lagerstätten of the Cambrian Explosion. [ABSTRACT FROM AUTHOR]

Many of the fundamental molecules of life share extraordinary pigment-like optical properties in the long-wavelength UV-C spectral region. These include strong photon absorption and rapid (sub-pico-second) dissipation of the induced electronic excitation energy into heat through peaked conical intersections. These properties have been attributed to a "natural selection" of molecules resistant to the dangerous UV-C light incident on Earth's surface during the Archean. In contrast, the "thermodynamic dissipation theory for the origin of life" argues that, far from being detrimental, UV-C light was, in fact, the thermodynamic potential driving the dissipative structuring of life at its origin. The optical properties were thus the thermodynamic "design goals" of microscopic dissipative structuring of organic UV-C pigments, today known as the "fundamental molecules of life", from common precursors under this light. This "UV-C Pigment World" evolved towards greater solar photon dissipation through more complex dissipative structuring pathways, eventually producing visible pigments to dissipate less energetic, but higher intensity, visible photons up to wavelengths of the "red edge". The propagation and dispersal of organic pigments, catalyzed by animals, and their coupling with abiotic dissipative processes, such as the water cycle, culminated in the apex photon dissipative structure, today's biosphere. [ABSTRACT FROM AUTHOR]

Goat weed (Ageratum conyzoides L.) possesses several phytochemicals, which can be used environment friendly alternatives to synthetic chemical pesticides and herbicides. The major chemicals can serve as natural herbicides and pesticides to expand the range of the green biosphere. This paper: (i) overviews A. conyzoides L.; (ii) classification of A. conyzoides L.; (iii) botanical characteristics; (iv) invasiveness of A. conyzoides. (v) bioactivity of major compounds identified in Ageratum conyzoides L. and (vi) effects of A. conyzoides on different pathogens as biopesticide. [ABSTRACT FROM AUTHOR]

Central African evergreen broadleaved forests around the equator exhibit a double annual cycle for canopy phenology and carbon uptake seasonality. The underlying drivers of this behavior are poorly understood and the double seasonality is not captured by land surface models (LSM). In this study, we developed a new leaf phenology module into the ORCHIDEE LSM (hereafter ORCHIDEE‐AFP), which utilizes short‐wave incoming radiation (SWd) as the main driver of leaf shedding and partial rejuvenation of the canopy, to simulate the double seasonality of central African forests. The ORCHIDEE‐AFP model has been evaluated by using field data from two forest sites and satellite observations of the enhanced vegetation index (EVI), which is a proxy of young leaf area index (LAIYoung) with leafage less than 6 months, as well as six products of GPP or GPP proxies. Results demonstrate that ORCHIDEE‐AFP successfully reproduces observed leaf turnover (R = 0.45) and young leaf abundance (R = 0.74), and greatly improve the representation of the bimodal leaf phenology. The proportion of grid cells with a significant positive correlation between the seasonality of modeled LAIYoung and observed EVI increased from 0.2% in the standard model to 27% in the new model. For photosynthesis, the proportions of grid cells with significant positive correlations between modeled and observed seasonality range from 26% to 65% across the six GPP evaluation products. The improved performance of the ORCHIDEE‐AFP model in simulating leaf phenology and photosynthesis of central African forests will allow a more accurate assessment of the impacts of climate change in tropical forests. Plain Language Summary: Evergreen broadleaved forests in central Africa near the equator have a unique behavior where their leaf growth and ability to take in carbon peak twice a year. However, the reason underlying this behavior is not well understood, and the current process‐oriented terrestrial biosphere models can not represent this double peak. In this study, we integrated a new module, which uses sunlight as the main factor for when leaves fall and new ones grow in the forest, into a popular process‐oriented terrestrial biosphere model called ORCHIDEE, to simulate this unique behavior in central African forests (hereafter ORCHIDEE‐AFP). We tested our model using real‐world data from the forests acquired at the site level and satellite images. The results show that our new model can successfully simulate when leaves change and how much carbon the forests take in. The new model demonstrates better performance than the standard model. Our improved model will be useful for predicting the future of these forests more accurately under climate change. Key Points: Solar radiation is an adequate climate factor to drive the bimodal leaf phenology of central tropical African rainforestsWe developed a new phenology scheme with solar radiation‐triggered leaf shedding and flushing for the ORCHIDEE land surface model (LSM)The ORCHIDEE LSM with the new phenology scheme captures central tropical African rainforests' bimodal leaf phenology and photosynthesis [ABSTRACT FROM AUTHOR]

The circular economy is a new economic model for addressing human needs and fairly distributing resources without undermining the functioning of the biosphere or crossing any planetary boundaries. The research project carried out under the EU contract presents an analysis of 8720 pieces (1500 kg) of used clothing collected from the population for reuse and recycling, in terms of quantification and composition. A Near Infrared (NIR) scanner for the determination of textile fibre composition was used; other characteristics of the garment like product type, age group, colour and presence of disruptors were captured in the app on the electronic device through a short predefined multiple-choice survey, using an application designed by Matoha Instrumentation Ltd. Destination function four groups were selected: disposal (19%), re-wearable non-EU (32%), re-wearable EU(25%), and recycling (24%). The structure of used clothing for adults highlights the preference of consumers for pieces intended for the upper part of the body (42.0%) with a faster change dynamic. The fraction for the lower part of the body (skirts, pants, etc.) follows with 19.9% and underwear with 1.4%, which is characterized by a longer duration of use. The degree of wear and tear of used clothing items correlates with the fractions intended for export (57%), highlighting the main characteristic of the fast fashion phenomenon, namely the shortening of the duration of use of products. The high share of the recycling fraction (19%) highlights the potential of this type of waste for recycling through mechanical or chemical technologies. 14.7% of the pieces of clothing had a blue colour which expresses calm, and responsibility and 12.7% had a white colour which expresses purity, cleanliness and virtue. The predominant composition of the textile materials in used clothes is cotton 34.2% and the basic structure is specific to knitted items (55%). [ABSTRACT FROM AUTHOR]

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Purpose: Viruses are the largest genetic repository and most diverse host-associated replicating organisms in a wide range of ecosystems in the entire biosphere. Although playing crucial roles in numerous processes such as nutrient cycles, viral shunt, and population control within marine ecosystems, viral communities continue to be the least explored biological entities, particularly in extreme marine habitats. Therefore, details about the viral diversity and their metabolic potential from Arctic sediments has great importance. Methods: Sediment samples were collected from two Arctic fjords, Kongsfjorden and Krossfjorden, in Svalbard. Viral nucleic acids were extracted from both fjord sediments after a pre-processing step. Illumina Novaseq based shotgun sequencing was performed and bioinformatic analysis was done to explore viral communities and their functional potential. Results: An array of DNA and RNA viruses especially bacteriophages along with viruses infecting algae, plants, molluscs, shrimps, fishes, amphibians, reptiles, birds, humans, and other mammals were detected from both fjords. The double-stranded DNA viruses were the most abundant (Siphoviridae, Podoviridae, Myoviridae, and Phycodnaviridae), followed by single-stranded DNA (Inoviridae) and RNA (Retroviridae and Betaflexiviridae) viruses from both metavirome. Functional analysis explored genes encoding virus structures, enzymes for phage replication, integration and excision and proteins related to phage regulation of gene expression. Conclusions: Fjord metavirome analysis revealed the occurrence of virus groups endemic to Arctic freshwater and marine habitats along with an extra pool of unclassified or unassigned virus reads. Viruses infecting a variety of bacterial groups, and other higher trophic levels in fjord environments were explored. Functional annotation revealed the abundance of phage-related structural genes and metabolic genes. Comparative analysis revealed the abundance of dsDNA viruses from Caudovirales (Myoviridae, Podoviridae and Siphoviridae) in all the analysed Arctic samples in different proportions. The present study enhances our understanding of viral diversity and their metabolic potential in Arctic fjord sediments. [ABSTRACT FROM AUTHOR]

The author discursively thinks through three questions. “What is “man” as a physical system?” “What are the unchanging properties of this physical system, or what is equal to “man”?” “What are the changing properties of this physical system, or what is happiness?” The following results were obtained. (1) “Man” as a physical system is a derivative (emergent) property or relation, which is described by the formula “Psukhe exists/is (eimí) in the “habitual” molecular manner (díken).” (2) The unchanging properties or otherwise légo form the only rightful (themitós) for the molecular physical system that the formula “Zo? breathes/makes cool (psýcho) and in this way/manner (trópos) exists/is (eimí) in the expanding universe” describes. It has been proven that the cryosphere, biosphere, and noosphere are a few equal emergent molecular state-spaces that “move (work) together as one” to advance and protect the hegemonía of the molecular physical system in an expanding universe. (3) The changing properties or otherwise noiéo is the property or attitude to advance “moderate things,” i.e., molecular fields and particles in astronomical, tectonic, and geochemical events, and to protect oneself from “immoderate things,” i.e., anything that destroys molecular identity and individuality. The changing properties produce and guarantee the physical state we call “happiness, well-being, outward prosperity,” i.e. the right and duty to “pull together” equals, but always and only on the basis of what is right/just (díkaios/iustus).

We offer a detailed description of our previously published new concept of the evolution of the biosphere as an integral system of its states over time, united by development trends. The structure of the biosphere is considered as a hierarchical fractal system, and the elementary unit of the biosphere is an ecosystem. The fractal structure of the biosphere corresponds to the emergent principle: each lower level is an element of a more complex system and has its own properties. The proposed concept of biosphere evolution is based on the general categories of dialectics: states and interstates, continuity and discreteness, reproducibility and uniqueness. The evolutionary history of the biosphere is a metameric picture of changing states and interstates. The most important feature of the biosphere organization in space–time is a complex system of continua. The development of an integral biospheric system occurs in a time continuum: in the biosphere, the differences between the early and subsequent states are quite significant and obvious. Moreover, these differences are associated with fundamental complications, development, which is, in fact, evolution. The states of the biosphere in certain periods are linked by trends that form an evolutionary system. Continuing states, when the system remains self-identical for a long period, are replaced by new states through interstates. Based on the principle of actualism, the problems of the biosphere’s future and evolutionary trends of the biosphere under anthropogenic impact are considered.

Detergent chemistry enables applications in the world today while harming safe operating spaces that humanity needs for survival. Aim of this review is to support a holistic thought process in the design of detergent chemistry. We harness the planetary boundary concept as a framework for literature survey to identify progresses and knowledge gaps in context with detergent chemistry and five planetary boundaries that are currently transgressed, i.e. climate, freshwater, land system, novel entities, biosphere integrity. Our survey unveils the status of three critical challenges to be addressed in the years to come, including (i) the implementation of a holistically, climate‐friendly detergent industry; (ii) the alignment of materialistic and social aspects in creating technical solutions by means of sustainable chemistry; (iii) the development of detergents that serve the purpose of applications but do not harm the biosphere in their role as novel entities. Specifically, medically relevant case reports revealed that even the most sophisticated detergent design cannot sufficiently accelerate drug discovery to outperform the antibiotic resistance development that detergents simultaneously promote as novel entities. Safe operating spaces that humanity needs for its survival may be secured by directing future efforts beyond sustainable chemistry, resource efficiency, and net zero emission targets. [ABSTRACT FROM AUTHOR]

Small terrestrial mammals are major hosts of infectious agents responsible for zoonotic diseases. Astroviruses (AstVs)–the cause of non-bacterial gastroenteritis mainly affecting young children–have been detected in a wide array of mammalian and avian host species. However, understanding the factors that influence AstV infection within and across hosts is limited. Here, we investigated the impact of land use changes on AstVs in terrestrial small mammals in rural northeastern Madagascar. We sampled 515 small mammals, representing seven endemic and four introduced species. Twenty-two positive samples were identified, all but one of which were found in the introduced species Mus musculus and Rattus rattus (family Muridae), with a positivity rate of 7.7% (6/78) and 5.6% (15/266), respectively. The non-introduced rodent case was from an endemic shrew-tenrec (family Tenrecidae). We found the highest positivity rate of AstVs infection in brushy regrowth (17.5%, 7/40) as compared to flooded rice fields (4.60%, 8/174), secondary forest (4.1%, 3/74), agroforest (3.6%, 1/28), village (2.61%, 3/115), and semi-intact forest (0%, 0/84). A phylogenetic analysis revealed an association between AstVs and their rodent host species. None of the viruses were phylogenetically related to AstVs previously described in Malagasy bats. This study supports AstV circulation in synanthropic animals in agricultural habitats of Madagascar and highlights the need to assess the spillover risk to human populations in rural areas. Author summary: This article describes the diversity of Astroviruses (AstVs) shed by Malagasy terrestrial small mammals and explores the impact of habitat degradation on positivity rate in animal reservoirs. Using a sample of 515 terrestrial small mammals from northeastern Madagascar, we show that AstV infection is almost exclusively restricted to rats and mice, suggesting that AstVs from terrestrial mammals were introduced to Madagascar. A phylogenetic analysis including AstVs sequences from Malagasy small mammals reveals a strong structuring of AstV sequences within host species, indicating limited host switching of these viruses among small mammals. Finally, positivity rates show that some habitat types are particularly conducive to AstV infection in reservoirs, such as rice fields where mice exhibit maximal infection. Altogether, presented data encourage the need for assessing the actual exposure of the local human population to the AstVs in small mammals, especially rice-field farmers. [ABSTRACT FROM AUTHOR]

The article discusses the need for mechanistic explanations in seed ecology and highlights the limitations of broad-scale correlative studies that ignore mechanisms. The authors specifically focus on seed dormancy and argue that the current understanding of seed dormancy as an adaptive response to climate seasonality is flawed. They propose that fire regime, rather than climate seasonality, is a more plausible mechanism for selecting prolonged seed dormancy. The article also mentions similar issues in other areas of ecology, such as species diversity and trait ecology, and emphasizes the importance of a mechanistic understanding and hypothesis-driven research. [Extracted from the article]

The NC10 phylum links anaerobic methane oxidation to nitrite denitrification through a unique O2‐producing intra‐aerobic methanotrophic pathway. Although numerous amplicon‐based studies revealed the distribution of this phylum, comprehensive genomic insights and niche characterization in deep‐sea environments were still largely unknown. In this study, we extensively surveyed the NC10 bacteria across diverse deep‐sea environments, including waters, sediments, cold seeps, biofilms, rocky substrates, and subseafloor aquifers. We then reconstructed and analysed 38 metagenome‐assembled genomes (MAGs), and revealed the extensive distribution of NC10 bacteria and their intense selective pressure in these harsh environments. Isotopic analyses combined with gene expression profiling confirmed that active nitrite‐dependent anaerobic methane oxidation (n‐DAMO) occurs within deep‐sea sediments. In addition, the identification of the Wood–Ljungdahl (WL) and 3‐hydroxypropionate/4‐hydroxybutyrat (3HB/4HP) pathways in these MAGs suggests their capability for carbon fixation as chemoautotrophs in these deep‐sea environments. Indeed, we found that for their survival in the oligotrophic deep‐sea biosphere, NC10 bacteria encode two branches of the WL pathway, utilizing acetyl‐CoA from the carbonyl branch for citric acid cycle‐based energy production and methane from the methyl branch for n‐DAMO. The observed low ratios of non‐synonymous substitutions to synonymous substitutions (pN/pS) in n‐DAMO‐related genes across these habitats suggest a pronounced purifying selection that is critical for the survival of NC10 bacteria in oligotrophic deep‐sea environments. These findings not only advance our understanding of the evolutionary adaptations of NC10 bacteria but also underscore the intricate coupling between the carbon and nitrogen cycles within deep‐sea ecosystems, driven by this bacterial phylum. [ABSTRACT FROM AUTHOR]

Background: Facing global grand challenges such as coronavirus disease 2019 (COVID-19) require the participation of various actors in different sectors and systematically directing their innovative efforts. Considering the complexity, non-linear dynamics, and global extent of the COVID-19 challenge, developing and applying a multi-level, resilient, and systematic innovative framework is vital. Therefore, this study aims to apply the "innovation biosphere" framework inspired by ecological studies for examining and analysing the management dimensions of COVID-19. Methods: In this research, based on a deductive-inductive approach, the case study methodology is used. In accordance with this strategy, the innovation biosphere metaphor is considered as the basic framework (deductive approach) and subsequently the grand challenge of COVID-19 (inductive approach) is analysed at three levels: micro, meso and macro. Results: The research findings verify the correspondence between what happened in the management of COVID-19 and the proposed framework of innovation biosphere. In other words, the findings of the research show that the effect of global cooperation, role-playing and co-evolution of different actors and subsystems in facing the grand challenge of COVID-19 under an ecosystemic and eco-innovation approach has been evident. These events subsequently led to the cessation of the pandemic after about four years. Conclusions: The main policy implications include the role of self-organization, the capability of global value networks, mission orientation, and co-evolution between actors as the contributions of innovation biosphere framework for managing grand health challenges, and global cohesion, oligopoly market, supporting local innovations, the critical role of basic research, and deregulation as the contributions of the COVID-19 case study for enhancing the innovation biosphere metaphor. [ABSTRACT FROM AUTHOR]

Much of the discourse around climate change and the situation of diverse human societies and cultures in the Anthropocene focuses on responding to scientific understanding of the dynamics of the biosphere by adjusting existing institutional and organizational structures. Our emerging scientific understanding of human behaviour and the mechanisms that enable groups to achieve large-scale coordination and cooperation suggests that incrementally adjusting existing institutions and organizations will not be sufficient to confront current global-scale challenges. Specifically, the transaction costs of operating institutions to induce selfish rational actors to consider social welfare in their decision-making are too high. Rather, we highlight the importance of networks of shared stories that become real—imagined orders—that create context, meaning and shared purpose for framing decisions and guiding action. We explore imagined orders that have contributed to bringing global societies to where they are and propose elements of a science-informed imagined order essential to enabling societies to flourish in the Anthropocene biosphere. This article is part of the theme issue 'Bringing nature into decision-making'. [ABSTRACT FROM AUTHOR]

We offer a detailed description of our previously published new concept of the evolution of the biosphere as an integral system of its states over time, united by development trends. The structure of the biosphere is considered as a hierarchical fractal system, and the elementary unit of the biosphere is an ecosystem. The fractal structure of the biosphere corresponds to the emergent principle: each lower level is an element of a more complex system and has its own properties. The proposed concept of biosphere evolution is based on the general categories of dialectics: states and interstates, continuity and discreteness, reproducibility and uniqueness. The evolutionary history of the biosphere is a metameric picture of changing states and interstates. The most important feature of the biosphere organization in space–time is a complex system of continua. The development of an integral biospheric system occurs in a time continuum: in the biosphere, the differences between the early and subsequent states are quite significant and obvious. Moreover, these differences are associated with fundamental complications, development, which is, in fact, evolution. The states of the biosphere in certain periods are linked by trends that form an evolutionary system. Continuing states, when the system remains self-identical for a long period, are replaced by new states through interstates. Based on the principle of actualism, the problems of the biosphere's future and evolutionary trends of the biosphere under anthropogenic impact are considered. [ABSTRACT FROM AUTHOR]

The ant communities within Biosphere 2, a massive, enclosed set of human-constructed habitats in southern Arizona, had not been examined in >20 yr. Throughout 2018, we conducted five ant surveys within and around Biosphere 2 to determine the current species composition and to determine whether species within the facility are establishing in the surrounding native habitat. As in previous surveys, we found exceedingly high numbers of Paratrechina longicornis, an invasive ant species, within every Biosphere 2 "biome" that we examined. We also found it to be present in the habitat surrounding the structure. How species that thrive in disturbed ecosystems infiltrate and affect native ecosystems is critical to understand, especially for systems intended to be sealed, such as Biosphere 2. [ABSTRACT FROM AUTHOR]

Introduction: L. arginase refers to the enzyme arginase found in the genus Lactobacillus, it plays a crucial role in the urea cycle, and has implications in various biological applications. This study aimed to purify arginase from Pseudomonas aeruginosa, isolated from soil, and apply it as an anticancer. Methodology: 28 soil samples of P. aeruginosa were collected from different places of Baghdad, and rice lands in Najaf and Diwaniyah governorates. Different standard laboratory and biochemical assays, and Vitik system were used in diagnosis and growth of arginase enzyme under certain pH, temperature, incubation period. Results: The purified enzyme was precipitated by ammonium sulfite (60-80%), dialyses bag 8000-1000KD, ion exchange by DEAE cellulose and sephadex G100 in gel filtration. Cytotoxicity of arginase against breast t cancer AJM-13 and rat embryo fibroblast REF normal cell line was evaluated for (48 and 72 hours). The inhibition rate increased in the low concentration of abnormal cell (AMJ-13) while decreased in the normal cell (REF), this study takes different concentration (0.392-12.5mg/mL), and low concentration (1562-0.048 mg/mL), the result in high concentration was IR 54.7% during 72 hours for AJM-13 and 14.3% for REF in the same time, while the low concentration was IR 91% in the 1562 mg/mL in the AMJ-13, and 51% in ERF, LD50 of arginase enzyme was 0.781 mg/mL that 41% during 72 hours for ERF, its save to normal cells. Conclusions: Arginase enzyme, at low concentrations, may have an inhibitory effect on cancer cells, and simultaneously, protect normal cell lines. [ABSTRACT FROM AUTHOR]

The Anthropocene has driven a transformative era where human activities exert unprecedented influence on Earth's biosphere. Consequently, synanthropic organisms, adept at thriving in human‐modified environments, have emerged. While well studied in terrestrial ecosystems, the presence and ecological importance of synanthropic species in aquatic ecosystems, specifically among cyanobacteria, are less understood. Cyanobacteria blooms, notorious for their detrimental effects on ecosystems and human health, are increasing in frequency and intensity globally. In this perspective, we explore the evidence supporting this rise of cyanobacteria blooms, emphasizing the roles of human‐induced eutrophication and climate change on select cyanobacteria genera. Cyanobacteria are not a monolith, with certain genera showing an observable increase within anthropogenically modified environments. We propose the establishment of a new sub‐branch of phycology that explicitly investigates the ecology and physiology of synanthropic cyanobacteria. Understanding the intricate interactions between synanthropic species and human populations is imperative for managing human‐altered ecosystems and conserving freshwater resources, particularly in the face of increasing global water insecurity. Practitioner Points: The rise in cyanobacteria blooms is driven by a small subset of human‐adapted genera—synanthropic cyanobacteria.Research is needed to characterize synanthropic cyanobacteria, which will aid in developing tailored management approaches.A paradigm shift from domesticating to "rewilding" landscapes and modifying behaviors to facilitate cohabitation are solutions to reducing risks. [ABSTRACT FROM AUTHOR]

Nitrogenase, the key enzyme for biological nitrogen fixation, is an evolutionary singularity, as only one mechanism capable of catalyzing the reduction of atmospheric N 2 into fixed nitrogen is known to have evolved. Nitrogenase has three metal isoforms (iron, molybdenum, and vanadium) and is thus connected and dependent upon biogeochemical cycles for metal availability. Molybdenum is abundant in modern oceans, was very scarce in ancient oceans and remains scarce in modern terrestrial environments. Despite its scarcity, it is proposed that early nitrogenases first utilized Mo-cofactors given its catalytic advantages over abundant Fe. To understand the evolution and diversification of the nitrogen cycle, we must first understand the paleoecological and planetary conditions that give rise to biological nitrogen fixation. The evolution of nitrogen fixation undoubtedly altered nearly all corners of the biosphere, given the essential role of nitrogen in the synthesis of biomass. To date, there is no unified view on what planetary conditions gave rise to nitrogen fixation or how these conditions have sustained it evolutionarily. Intriguingly, the concentrations of metals that nitrogenases require to function have changed throughout Earth's history. In this review, we describe the interconnection of the metal and nitrogen cycles with nitrogenase evolution and the importance of ancient ecology in the formation of the modern nitrogen cycle. We argue that exploration of the nitrogen cycle's deep past will provide insights into humanity's immediate environmental challenges centered on nitrogen availability. [ABSTRACT FROM AUTHOR]

Introduction: This study sought to decipher the mechanism of transitions between life-history stages in a seasonally reproducing subtropical finch, Amandava amandava delineating the plasticity of the gonadotropes (LH cells), lactotropes (PRL cells), and thyrotropes (TSH cells) in the pituitary gland including the pars tuberalis, with regard to the in situ expression, morphological characteristics, and alteration in the plasma levels of hormones. Methods: Immunohistochemistry of LH, PRL, TSH cells, morphometry and densitometry of expressed hormones (Image J software analysis), and ELISA for plasma hormonal levels were performed. Results: LH, PRL, and TSH cells showed remarkable plasticity during the annual seasonal reproductive cycle. In the PT, all the 3 cell types were detected during the breeding phase, with additional detection of the TSH immunoreactivity during the pre-breeding and the PRL immunoreactivity during post-breeding phases. Pars distalis (PD) expressions and the plasma levels of the LH and TSH were at the peak during the breeding phase, but the PRL peak was during the post-breeding phase. In addition to PRL in the neurohypophysis and in the median eminence, hypothalamic PRL, and TSH were also elucidated. Conclusions: This study suggests activation of the gonadal axis by the PT TSH which might transduce seasonal cues, but not specifically photoperiod, in the birds of the tropics/subtropics. Post-breeding phase sustained high plasma TSH and peak plasma PRL might coordinate the transition to the non-breeding phase including the trigger of parental care as the later hormone assigned with. Hypothalamic TSH and PRL might influence events of seasonality through central modulation. [ABSTRACT FROM AUTHOR]

Natural and anthropogenic disturbances are important drivers of tree mortality, shaping the structure, composition, and biomass distribution of forest ecosystems. Differences in disturbance regimes, characterized by the frequency, extent, and intensity of disturbance events, result in structurally different landscapes. In this study, we design a model‐based experiment to investigate the links between disturbance regimes and spatial biomass patterns. First, the effects of disturbance events on biomass patterns are simulated using a simple dynamic carbon cycle model based on different disturbance regime attributes, which are characterized via three parameters: μ (probability scale), α (clustering degree), and β (intensity slope). 856,800 dynamically stable biomass patterns were then simulated using combined disturbance regime, primary productivity, and background mortality. As independent variables, we use biomass synthesis statistics from simulated biomass patterns to retrieve three disturbance regime parameters. Results show confident inversion of all three "true" disturbance parameters, with Nash‐Sutcliffe efficiency of 94.8% for μ, 94.9% for α, and 97.1% for β. Biomass histogram statistics primarily dominate the prediction of μ and β, while texture features have a more substantial influence on α. Overall, these results demonstrate the association between biomass patterns and disturbance regimes. Given the increasing availability of Earth observation of biomass, our findings open a new avenue to understand better and parameterize disturbance regimes and their links with vegetation dynamics under climate change. Ultimately, at a large scale, this approach would improve our current understanding of controls and feedback at the biosphere‐atmosphere interface in the present Earth system models. Plain Language Summary: Forest dynamics are shaped by different disturbances, which are challenging to monitor and predict. Identifying individual disturbance occurrences and their impact on forest carbon stocks (biomass) is complex. However, our study deciphers the characteristics of disturbance occurrence, that is, disturbance regime, from biomass pattern. We characterized this regime across three dimensions: extent (μ), frequency (α), and intensity (β). Through a 200‐year landscape experiment, we explored the synthetic dynamically stable biomass under different disturbance regimes. Statistical features from biomass simulations revealed distinct spatial patterns, forming a connection between these patterns and the disturbance regime parameters via machine learning. Notably, specific biomass pattern statistics influence distinct disturbance regime parameters: μ and β are linked to histogram stats, while α is tied to texture statistics. This approach establishes a framework to diagnose disturbance regimes from biomass patterns, offering a way to incorporate these regimes into Earth system models. Key Points: We investigate the link between disturbance regimes and spatial patterns of aboveground biomass emerging from diverse primary productivityThe proposed framework allows for inferring disturbance probability, size and intensity from spatial features in aboveground biomassDisturbance regimes from high‐res Earth observations can enhance carbon cycle dynamics prediction from interannual to longer time scales [ABSTRACT FROM AUTHOR]

Many land surface models (LSMs) assume a steady‐state assumption (SS) for forest growth, leading to an overestimation of biomass in young forests. Parameters inversion under SS will potentially result in biased carbon fluxes and stocks in a transient simulation. Incorporating age‐dependent biomass into LSMs can simulate real disequilibrium states, enabling the model to simulate forest growth from planting to its current age, and improving the biased post‐calibration parameters. In this study, we developed a stepwise optimization framework that first calibrates "fast" light‐controlled CO2 fluxes (gross primary productivity, GPP), then leaf area index (LAI), and finally "slow" growth‐controlled biomass using the Global LAnd Surface Satellite (GLASS) GPP and LAI products, and age‐dependent biomass curves for the 25 forests. To reduce the computation time, we used a machine learning‐based model to surrogate the complex integrated biosphere simulator LSM during calibration. Our calibrated model led to an error reduction in GPP, LAI, and biomass by 28.5%, 35.3% and 74.6%, respectively. When compared with net biome productivity (NBP) using no‐age‐calibrated parameters, our age‐calibrated parameters increased NBP by an average of 50 gC m−2 yr−1 across all forests, especially in the boreal needleleaf evergreen forests, the NBP increased by 118 gC m−2 yr−1 on average, increasing the estimate of the carbon sink in young forests. Our work highlights the importance of including forest age in LSMs, and provides a novel framework for better calibrating LSMs using constraints from multiple satellite products at a global scale. Plain Language Summary: Physical and biological process‐based models always overestimate the biomass of young forests, with an assumption that they usually hold maximum carbon stocks like old‐growth stands. Such an assumption can lead to biased carbon fluxes and stocks in further simulation. Considering stand age in LSMs improves their ability to simulate real forest growth. In this study, we develop a stepwise method to account for stand age effects in model simulations by assimilating remotely sensed information on vegetation productivity, leaf area, biomass, and age. To reduce the computational cost of the complex original code, we use a substitute model constructed using a machine learning method for calculations. The improved model successfully reproduces the changes in ecosystem biomass and fluxes as forest age varies. Our research provides a novel approach to improving other land surface models for predicting age‐dependent ecosystem properties. Key Points: We presented a stepwise calibration framework for better integrating age‐dependent biomass into the integrated biosphere simulator modelWe utilized a machine learning‐based model as an alternative to the physical model, accelerating the calibration processThe calibration noticeably improved the simulation of gross primary productivity, leaf area index, and biomass [ABSTRACT FROM AUTHOR]

The marine subsurface is a long-term sink of atmospheric carbon dioxide with significant implications for climate on geologic timescales. Subsurface microbial cells can either enhance or reduce carbon sequestration in the subsurface, depending on their metabolic lifestyle. However, the activity of subsurface microbes is rarely measured. Here, we used nanoscale secondary ion mass spectrometry (nanoSIMS) to quantify anabolic activity in 3,203 individual cells from the thermally altered deep subsurface in the Guaymas Basin, Mexico (3-75 m below the seafloor, 0-14°C). We observed that a large majority of cells were active (83%-100%), although the rates of biomass generation were low, suggesting cellular maintenance rather than doubling. Mean single-cell activity decreased with increasing sediment depth and temperature and was most strongly correlated with porewater sulfate concentrations. Intracommunity heterogeneity in microbial activity decreased with increasing sediment depth and age. Using a dual-isotope labeling approach, we determined that all active cells analyzed were heterotrophic, deriving the majority of their cellular carbon from organic sources. However, we also detected inorganic carbon assimilation in these heterotrophic cells, likely via processes such as anaplerosis, and determined that inorganic carbon contributes at least 5% of the total biomass carbon in heterotrophs in this community. Our results demonstrate that the deep marine biosphere at Guaymas Basin is largely active and contributes to subsurface carbon cycling primarily by not only assimilating organic carbon but also fixing inorganic carbon. Heterotrophic assimilation of inorganic carbon may be a small yet significant and widespread underappreciated source of labile carbon in the global subsurface. [ABSTRACT FROM AUTHOR]

A defining feature of the Anthropocene is the distortion of the biosphere phosphorus (P) cycle. A relatively sudden acceleration of input fluxes without a concomitant increase in output fluxes has led to net accumulation of P in the terrestrial‐aquatic continuum. Over the past century, P has been mined from geological deposits to produce crop fertilizers. When P inputs are not fully removed with harvest of crop biomass, the remaining P accumulates in soils. This residual P is a uniquely anthropogenic pool of P, and its management is critical for agronomic and environmental sustainability. Managing residual P first requires its quantification—but measuring residual P is challenging. In this review, we synthesize approaches to quantifying residual P, with emphasis on advantages, disadvantages, and complementarity. Common approaches to estimate residual P are mass balances, long‐term experiments, soil test P trends and chronosequences, with varying suitability or even limitations to distinct spatiotemporal scales. We demonstrate that individual quantification approaches are (i) constrained, (ii) often complementary, and (iii) may be feasible at only certain time–space scales. While some of these challenges are inherent to the quantification approach, in many cases there are surmountable challenges that can be addressed by unifying existing P pool and flux datasets, standardizing and synchronizing data collection on pools and fluxes, and quantifying uncertainty. Though defined as a magnitude, the distribution and speciation of residual P is relatively less understood but shapes its utilization and environmental impacts. The form of residual P will vary by agroecosystem context due to edaphoclimatic‐specific transformation of the accumulated P, which has implications for management (e.g., crop usage) and future policies (e.g., lag times in P loading from non‐point sources). Quantifying the uncertainty in measuring residual P holds value beyond scientific understanding, as it supports prioritization of monitoring and management resources and inform policy. [ABSTRACT FROM AUTHOR]

The Earth functions as an integrated system—its current habitability to complex life is an emergent property dependent on interactions among biological, chemical, and physical components. As global warming affects ecosystem structure and function, so too will the biosphere affect climate by altering atmospheric gas composition and planetary albedo. Constraining these ecosystem‐climate feedbacks is essential to accurately predict future change and develop mitigation strategies; however, the interplay among ecosystem processes complicates the assessment of their impact. Here, we explore the state‐of‐knowledge on how ecological and biological processes (e.g., competition, trophic interactions, metabolism, and adaptation) affect the directionality and magnitude of feedbacks between ecosystems and climate, using illustrative examples from the aquatic sphere. We argue that, despite ample evidence for the likely significance of many, our present understanding of the combinatorial effects of ecosystem dynamics precludes the robust quantification of most ecologically driven climate feedbacks. Constraining these effects must be prioritized within the ecological sciences for only by studying the biosphere as both subject and arbiter of global climate can we develop a sufficiently holistic view of the Earth system to accurately predict Earth's future and unravel its past. [ABSTRACT FROM AUTHOR]

This article provides an overview of the life and work of Vladimir Ivanovich Vernadsky, a Russian scientist who made significant contributions to the understanding of the biosphere. Vernadsky's theory of the biosphere, which views the world as a living entity, had a profound impact on physics and integrated organic and inorganic matter. He believed in the unity of science and the arts and was influenced by figures such as Goethe and Plato. Despite his disagreements with the prevailing Marxist-Leninist ideology, Vernadsky maintained his independence as a scientist and is highly regarded in Russia and Ukraine today. [Extracted from the article]

The interplay between extraterrestrial, atmospheric, aqueous, interfacial, and hydrothermal processes is crucial for Earth's prebiotic chemistry. Volcanic terrains contain polyoxometalates (POMs). Some polyoxocuprates were identified as building blocks of fumarole minerals produced from high‐temperature gases. The existence of polyoxovanadate anions in acidified reducing volcanic aquifers cannot be excluded. At present, it can only be speculated whether life arose around natural POM deposits and/or around their aqueous phase chemistry through acid‐base and/or redox reactions. This Commentary spans different fields of sciences in nature cybernetic loop to provide impetus to explore gas‐phase chemical reactions of multiply charged POM ions, catalysis by POM‐containing mineral phases, the behavior of POMs under plasma‐initiated ultraviolet photolysis, interactions of POMs with microorganisms, bioorthogonal chemistry of POMs, and engineering POM‐based bionic functions inspired by living organisms. [ABSTRACT FROM AUTHOR]

This study investigated if and how financial sustainability affects the ability of local governments to meet the 17 Sustainable Development Goals (SDGs) established by the United Nations. Two samples consisting of Italian and Spanish local governments were analyzed for the analysis. These municipalities were selected, as they provide many essential services largely linked with several SDGs. Findings show that local governments with better financial conditions devote more effort to achieving the SDGs connected with the biosphere, as well as social and economic development. Our results can stimulate politicians and managers to fight against tax evasion to increase their resources. [ABSTRACT FROM AUTHOR]

Mountains are important suppliers of freshwater to downstream areas, affecting large populations in particular in High Mountain Asia (HMA). Yet, the propagation of water from HMA headwaters to downstream areas is not fully understood, as interactions in the mountain water cycle between the cryo-, hydro- and biosphere remain elusive. We review the definition of blue and green water fluxes as liquid water that contributes to runoff at the outlet of the selected domain (blue) and water lost to the atmosphere through vapor fluxes, that is evaporation from water, ground, and interception plus transpiration (green) and propose to add the term white water to account for the (often neglected) evaporation and sublimation from snow and ice. We provide an assessment of models that can simulate the cryo-hydro-biosphere continuum and the interactions between spheres in high mountain catchments, going beyond disciplinary separations. Land surface models are uniquely able to account for such complexity, since they solve the coupled fluxes of water, energy, and carbon between the land surface and atmosphere. Due to the mechanistic nature of such models, specific variables can be compared systematically to independent remote sensing observations – providing vital insights into model accuracy and enabling the understanding of the complex watersheds of HMA. We discuss recent developments in spaceborne earth observation products that have the potential to support catchment modeling in high mountain regions. We then present a pilot study application of the mechanistic land surface model Tethys & Chloris to a glacierized watershed in the Nepalese Himalayas and discuss the use of high-resolution earth observation data to constrain the meteorological forcing uncertainty and validate model results. We use these insights to highlight the remaining challenges and future opportunities that remote sensing data presents for land surface modeling in HMA. [ABSTRACT FROM AUTHOR]