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This chapter presents novel methodologies to interpret paleoweather, ocean winds and waves, storm tracks, and climate mode variability from historical–paleo coastal evolution. The morphodynamic and climatic conditions that have formed and preserved the coastal archive are examined. The coastal geometric planform, as the integrator of ocean wind and wave climate, is presented for coastal morphologies: embayed headland–bay–beach-barrier coasts; open longshore coasts; headland spits and capes; island and cays; barrier estuary inlets; and delta and deltaic plain coasts. Coastal dunefields are presented as a source of onshore regional wind-field reconstructions. The chapter presents the coastal geomorphic archive of extreme storms, paleotempestology, and methods to reconstruct their magnitude and frequency; and methods to transform the coastal morphodynamic signal into paleo-wave climate data and associated paleoweather regimes: modelling of wave transformation, geometric planforms, and coastal evolution, and synoptic typing of wave climates. Novel back-trajectory analysis following great circles is applied to identify paleoweather regimes from paleo-wave direction data.
Glacial history is explored through glacier–climate relationships, including ablation by melting or sublimation; humid/dry atmosphere; snow-rain zones; whether annual air temperature is below 0°C for the entire glacier; and precipitation sources. The underlying glacier–weather relationship is fundamental to glacier behaviour and history, defining air masses, humidity, cloud cover, convective processes, moisture advection, seasonality of accumulation, ablation/sublimation, dust transport, wind redistribution of snow, and katabatic and foehn wind flow. The chapter covers glaciers in the inner tropics (Ecuador, Columbia, Venezuela, Ruwenzori Mountains, Mt Kenya, Kilimanjaro, eastern Africa, Irian Jaya); dry subtropics; Central Andes; mid-latitudes (Patagonia, Tierra del Fuego, New Zealand); subantarctic islands (South Indian and South Atlantic Islands); and Antarctic Peninsula. A comprehensive synthesis of regional glacial history is presented for the recent past, Holocene, and late Quaternary. Glacier–weather and climate mode relationships are identified by equilibrium line altitude change and weather regime dominance, particularly for the Medieval Climate Anomaly and Little Ice Age.
An introduction to proxy data, paleoclimate databases, and data assimilation is presented. The reconstruction of paleoclimate fields is the defining measure for evaluation of climate change with respect to the modern transition from primarily natural variability forcing to anthropogenic forcing. This section focuses on proxy system modelling (PSM) and paleoclimate data assimilation (PDA) methods to merge objective numerical analysis of paleo-synoptic data with numerical-model hindcasts of paleoclimate. Prior to PDA, paleoclimate reconstructions were based upon regression models, principal component analysis (PCA), and Bayesian hierarchial models. These have limitations where data is sparse, and the PCA method relies on implied teleconnections. The PSM and PDA methods are designed to address these issues and model the uncertainty in reconstructions derived from the paleoclimate archive. Both statistical and process-based PSM methods are presented, as are recent applications. Kalman filtering and analogue-data modelling methods are presented as the methods most widely used for paleoclimate data assimilation, together with last millennial examples.
A Lagrangian description of bubble swarms has largely eluded both experimental and numerical efforts. Now, in a tour de force of deep-learning-enabled optical tracking measurements, Huang et al. (2025 J. Fluid. Mech.1014, R1) have managed to follow the three-dimensional trajectories of $10^5$ deforming and overlapping bubbles within a swarm, perhaps for long enough to witness their approach to the diffusive limit. Their results reveal that bubble swarms exhibit a dispersion law strikingly reminiscent of classical Taylor dispersion in isotropic turbulence, but with an earlier, undulatory transition from the ballistic-to-diffusive regime. Huang et al. (2025 J. Fluid Mech.1014, R1), have helped close the loop on our understanding of Lagrangian bubble dispersion – from self-stirring swarms to bubbles in isotropic turbulence.
Ocean wind, wave, and sea-level patterns are regional tracers of weather regimes and storm tracks. The chapter focuses on marine climatologies to interpret coastal, coral, and marine archives as climate proxies. The Southern Hemisphere ocean wind climate is explored from historical, documentary, instrumental station, and satellite data and global reanalysis data. Ocean-basin and coastal winds, coastal low-level jets, and continental shelf current climatologies are described for western Australia, Namibia–South Africa, Peru–Chile, eastern Australia, and Antarctictica. Island and archipelago wakes and the island mass effect are shown as leeward disturbances to atmospheric and surface ocean flow. Ocean wind-wave generation and wave propagation are presented, as are global and regional wave climatologies and statistics. Global processes influencing regional sea level are discussed: eustatic sea level, glacio-isostatic adjustment, sea-level fingerprints, steric sea level height, sea-surface temperature and salinity, ocean basin wind stress, and dynamic sea level, covering the shelves of Australia, southern African, Brazil, Uruguay, Argentina, and Antarctica.
Ice islands, massive tabular icebergs, are known to fracture as they drift. The footloose mechanism occurs when a large protuberance, known as a ram, develops along the submerged edge of the ice island and induces a buoyancy-driven bending stress. This study investigates the relationship between rams and footloose fracture using finite element models of ice islands with simulated underwater rams. Geospatial polygons of ice islands, derived from remote sensing imagery, were used to create three-dimensional shapes of ice islands at two thicknesses and with various ram sizes. Then, the location of maximum stress and fractures were predicted using finite element analysis (FEA) and the results were compared to remote sensing observations of the actual fractured pieces that calved from each of the 26 modelled ice islands. Accurate simulations of calving were achieved when a synthesized ram was placed along the ice island edge where the calving was observed. An empirical model was developed to predict the magnitude of stress from various ram sizes and shapes. The predictive ability of this empirical model suggests that ice island calving models can be improved and combined with drift forecasting models to help mitigate risks to offshore infrastructure and seafaring vessels.
This chapter focuses on Antarctic ice core science and the reconstruction of hydroclimate and weather regimes. It covers ice core site selection, temporal resolution, sampling methods, isotope and chemical measurement, dating chronologies, and ice coring projects and databanks. Antarctic precipitation and snow/ice accumulation regimes are key parameters for ice core analysis, including precipitation type and air-mass source, together with processes driving snow accumulation, and surface mass balance characteristics related to temperature, surface wind field, and surface microrelief: sublimation, evaporation, blowing snow, condensation, and surface meltwater. Coastal ice cap, ice shelf, and landfast ice behaviour is reflected in snow accumulation, temperature, and meltwater production. A detailed treatment of stable isotope analysis of water and the relationship to air masses and weather regimes covers spatial and temporal isotope–temperature relationships as the basis for paleothermometry, Antarctic ice core isotope–moisture source relationships to Southern Hemisphere air masses, and air mass trajectory analyses applied to reconstruct isotope–weather regime relationships.
When studying extinct organisms, which phylogenetic methods are the most useful to determine patterns of evolutionary relationship? How well do current classifications reflect the patterns discovered? Using Athyridida (Upper Ordovician–Lower Jurassic) as a case study, we utilize parsimony, Bayesian Mk, asymmetrical rates, and fossilized birth–death process models, with and without character partitions, to compare results from different methods of inference, to test previous phylogenetic hypotheses and examine morphological character evolution in this long-lived group of extinct brachiopods. Because different phylogenetic methods utilize different models of evolution involving different sets of assumptions, they can result in different patterns of relationship, making it necessary to test multiple methods and then evaluate thoughtfully the various results obtained.
We discovered that the four main athyridide higher taxa we focus on largely maintain their coherence as clades in most of the analyses, but relationships among them vary substantially, with implications for the evolution of characters important in their classification. We were able to characterize in detail the athyridide external valve characters that are more variable than internal characters, quantifying the commonly held impression that internal features are more likely to be homologues and thus more reliable in identifying relationships than external characters. Because taxa in classifications are still frequently used as clade proxies in macroevolutionary studies, it is necessary to obtain and compare the most robust hypotheses of relationship among named taxa in order to evaluate both character homology and homoplasy and taxonomic fidelity to hypotheses of evolution.
The European Energy Law Reports are an initiative taken by the organisers of the European Energy Law Seminar which has been organised on an annual basis since 1989 in the Netherlands. The aim of this seminar is to present an overview of the most important legal developments in the field of international, EU and national energy and climate law. Whereas the first seminars concentrated mostly on internal energy market developments, the focus has now expanded to include analyses involving energy investments, security and consumer protection and a reflection on the changing nature of energy law.
Pterygotids were Paleozoic marine and marginal marine large apex predatory arthropods. However, their evolution remains poorly understood due to the scarcity of their fossils and the delicate nature of their exoskeletons. The well-studied Devonian Xiaxishancun Formation in Qujing City, Yunnan, China contains various Agnatha and three eurypterid species. Our study focuses on the eurypterid material assigned to Erettopterus qujingensis Ma et al., 2022 and Pterygotus wanggaii Ma et al., 2023. The two species were discovered from the same locality, both with individuals of different developmental stages (juveniles more common), suggesting that this area could represent a breeding site, in agreement with mass molt behavior and the occurrence of other pterygotids in shallow waters. Moreover, the coexistence of heavily armed Agnatha with Pterygotus wanggaii in the Xiaxishancun Formation, alongside their robust chelicerae, supports the hypothesis that some pterygotids were piscivorous. In addition, due to ambiguity of pterygotid cheliceral dentition nomenclature, we introduce a new framework to define the cheliceral denticle types of pterygotids based on their relative positions: TD, terminal denticle; MD, median denticle (including: MMD, modified MD, and OMD, ordinary MD); BD, basal denticle. A key diagnostic feature in the cheliceral denticles of E. qujingensis is established: movable finger ends in a curved TD, 3 MMD’s present, 9 OMDs between MMD1 and MMD2 (OMD4 and OMD8 slightly enlarged); fixed finger ends in an acute TD’, 3 MMD’s present (MMD’2 being the largest), 8 OMD’s between MMD’1 and MMD’2 (OMD’5 slightly enlarged), 15 OMD’s between MMD’2 and MMD’3 (OMD’1 and OMD’10-12 slightly enlarged). This cheliceral diagnosis distinguishes E. qujingensis from Pterygotus wanggaii by its distinct number of MMDs.
Perna perna mussel is a coastal benthic filter-feeder widely cultivated in mytiliculture farms and serves as a resource for local communities engaged in its harvest along the Brazilian coast. This study presents the isotopic ratios (δ13C and δ15N) in the soft tissues of adult mussels from six natural populations in Rio de Janeiro State, southeast Brazil, to evaluate whether they are sensitive enough to distinguish the origin of specimens. The COVID-19 pandemic served as temporal reference, as the quality of coastal waters was influenced by the restrictions imposed during the pandemic. The mean values of δ13C and δ15N ranged from −19.5‰ to −17.3‰, and 6.2‰ to 10.5‰, respectively. The spatial variation of δ13C-δ15N data in the analysed mussels was greater than the temporal variation. The k-means clustering method correctly identified 80% of populations during the pre-pandemic period, 67% in the pandemic, and 50% in the post-pandemic. In most samples, the spatial variation of δ15N (tracer of food source variability) was the primary variable distinguishing the groups of mussels. The isotopic ratios did not reveal a clear trend when using the COVID-19 pandemic as temporal reference. Consequently, the positive environmental changes brought about by the suspension or reduction of anthropogenic activities in coastal waters during the pandemic had minimal impact on the isotopic ratios of mussels at most sampling sites. The utilisation of δ13C-δ15N data to trace the origin of P. perna mussel from natural banks was only partially effective in distinguishing the origin of natural populations across the studied area.
As human development is colliding with planetary boundaries, the world is facing interconnected crises, disasters, and geopolitical conflicts that require and complicate cooperative solutions for navigating the global polycrisis between a collapse of human civilisation and a sustainable transformation of nature–society relationships. When multiple crises are compounding and become ‘overcritical’ beyond tipping points, they may trigger cascading chain reactions that overwhelm efforts to control the dynamics. Understanding the complex dynamic interaction between climate, conflict, migration, and pandemic risks offers insights to develop capabilities for effective earth system governance to facilitate a transformation from a negative to a positive nexus.
Technical summary
To assess the complex interplay and stability conditions of multiple risks in the polycrisis, an integrative framework involves interacting changes, sensitivities, and pathways in nature–society interaction with natural resources and human security. Results highlight the role of additive compounding and multiplicative cascading events for crisis expansion or containment which can be influenced across thresholds by interventions and governance. The analysis is specified for the climate–conflict–migration–pandemic nexus in which the interactions of climate sensitivity and conflict sensitivity affect internal stability against destabilising external factors. For a risk minimization and containment strategy, desirable is a stable low-risk case compared to unlimited risk escalation, compensated by efforts and investments enabling anticipative governance, adaptive management and cooperative institutional mechanisms, moving from individual to collective action and converting a destabilising vicious circle into a stabilising virtuous circle.
Social media summary
The present polycrisis is unprecedented, increasing the interconnectivity, complexity and intensity of interactions with globalisation, breeding instability, overwhelming adaptation, and requiring new anticipative governance and management capacities.
This study provides the first case reported of Paraprionospio treadwelli (Hartman, 1951) in the Gulf of Mexico. Based on 242 individuals collected between 20.8 and 176 m depth during three oceanographic expeditions, we describe in detail the morphology of the identified specimens, including the description of the pygidium, so far unknown in this species, and provide SEM photographs to support their identification. Paraprionospio treadwelli was originally found in Chesapeake Bay, Northwestern Atlantic, and we now extend its distribution southwards to the Western Gulf of Mexico. Remarks on the environmental conditions where this spionid species was found and the observed abundance seasonal pattern are also provided.
Fossil data are subject to inherent biological, geologic, and anthropogenic filters that can distort our interpretations of ancient life and environments. The inevitable presence of incomplete fossils thus requires a holistic assessment of how to navigate the downstream effects of bias on our ability to accurately reconstruct aspects of biology in deep time. In particular, we must assess how biases affect our capacity to infer evolutionary relationships, which are essential to analyses of diversification, paleobiogeography, and biostratigraphy in Earth history. In this study, we use an established completeness metric to quantify the effects of taphonomic filters on the amount of phylogenetic information available in the fossil record of 795 extinct squamate (e.g., lizards, snakes, amphisbaenians, and mosasaurs) species spanning 242 Myr of geologic time. This study found no meaningful relationship between spatiotemporal sampling intensity and fossil record completeness. Instead, major differences in squamate fossil record completeness stem from a combination of anatomy/body size and affinities of different squamate groups to specific lithologies and depositional environments. These results reveal that naturally occurring processes create structural megabiases that filter anatomical and phylogenetic data in the squamate fossil record, while anthropogenic processes play a secondary role.
The Gulf of California, one of the world’s most biodiverse marine ecosystems, is also heavily exploited by fisheries. Among its fish fauna are species that, although currently underappreciated, may become commercially important in the future. Enhancing our biological knowledge of these species is crucial for monitoring population dynamics and community changes. Fish parasites offer valuable insights into host ecology, including feeding habits and population structure. In this study, we document the metazoan parasite fauna of Trichiurus nitens (Trichiuridae) from four locations in the eastern Gulf of California, Mexico. A total of 165 fish specimens were examined, revealing five parasite species identified using both morphological characteristics and molecular markers: the monogenean Octoplectanocotyla travassosi, the trematode Lecithochirium sinaloense, and three nematodes – Anisakis typica A, Skrjabinisakis brevispiculata, and Spinitectus sp. Among these, L. sinaloense was the most prevalent. Although parasite species richness was similar between small and large fish, overall parasite abundance was higher in larger specimens. Moreover, parasite assemblages did not vary significantly across the study locations. These findings suggest that T. nitens exhibits a specialized feeding strategy, relying on a narrow range of prey throughout its life, and that the oceanographic variability does not limit fish movement in the region. Future studies encompassing a broader geographical scale, additional fish size classes, and different climatic seasons are needed to further elucidate the ecological role of this species. This work provides novel insights into the host-parasite dynamics of T. nitens and establishes a valuable baseline for ecosystem monitoring under global change scenarios.