Gondwana Research最新文献

{"title":"A novel CNN-LSTM-Attention model to forecast flood susceptibility under global climate scenarios","authors":"Mahdieh Shirmohammadi ,&nbsp;Saied Pirasteh ,&nbsp;Jonathan Li ,&nbsp;Mohammad Sharifikia","doi":"10.1016/j.gr.2025.12.020","DOIUrl":"10.1016/j.gr.2025.12.020","url":null,"abstract":"<div><div>Floods are among the most destructive natural hazards globally, with Iran, particularly Golestan Province, experiencing frequent and severe events. This study proposes an integrated Flood Susceptibility Mapping (FSM) framework that incorporates physical, environmental, and socioeconomic variables using advanced deep learning and machine learning techniques. A novel hybrid Convolutional Neural Network (CNN)- Long Short-Term Memory (LSTM)-Attention model was developed to capture spatiotemporal flood patterns using historical data from 2001 to 2019. Multi-source remote sensing data, including Sentinel-1 Synthetic Aperture Radar (SAR), Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS precipitation) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Level-2 surface reflectance imagery, were processed via Google Earth Engine (GEE) and combined with topographic and environmental indices in ArcGIS. The model first generated a binary flood probability map, distinguishing between flooded and non-flooded areas. Next, validation was conducted using Global Positioning System (GPS)-based ground-truth points from the 2019 flood event. Then, over 200,000 high-confidence samples and key conditioning factors (elevation, slope, aspect, Standardized Precipitation Index (SPI), Topographic Wetness Index (TWI), lithology, river distance, river density, rainfall, and land use) were used to train a Random Forest (RF) model in Python and Geographical Information System (GIS) environments, producing a detailed FSM for 2024. Finally, to assess FSM future scenarios, we used precipitation projections from the Coupled Model Intercomparison Project Phase 6 (CMIP6) EC-Earth3-Veg model under four Shared Socioeconomic Pathways (SSP) scenarios (SSP1-2.6 to SSP5-8.5) to model FSM from 2021 to 2100. Results indicate an increasing flood susceptibility in western and northern lowlands, with higher-risk zones expanding under high-emission scenarios. The RF model achieved an Area Under the Curve (of the ROC curve) (AUC) of 0.91, while the CNN-LSTM-Attention model showed high accuracy (99.5%) and strong spatial performance. This framework demonstrates potential for broader application in flood-prone regions globally, supporting climate-adaptive planning and mitigation.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"154 ","pages":"Pages 82-102"},"PeriodicalIF":7.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State-dependent predictability of precious metals: The economic role of critical minerals and climate risk","authors":"Bing Zeng ,&nbsp;Ying Hui ,&nbsp;Grzegorz Mentel ,&nbsp;László Vasa","doi":"10.1016/j.gr.2026.01.007","DOIUrl":"10.1016/j.gr.2026.01.007","url":null,"abstract":"<div><div>The current study investigates the predictive ability of critical minerals of price returns of precious metals (gold, silver, platinum, and palladium) in presence of different degrees of climate policy uncertainty (CPU). Using a novel Multivariate Quantile-on-Quantile Causality (MQQC) model, we test the predictive dynamics, unconditional and CPU-conditional, in the entire joint return distribution continuum. Predictability, unconditionally, is localized in the tails, i.e. under extreme market conditions, mineral shocks have strong impact but under normal regimes, they have little impact. The tail dependence is indicative of co-production and industrial-demand relationships of silver, platinum, and palladium, but gold mostly maintains its safe-haven property. After the addition of CPU, the predictive effects are stretched out further to the middle of the distribution, indicating wider and more enduring spillovers. In the case of gold, CPU enhances the safety haven demand by augmenting the crucial mineral precious metal co-movements between regimes. In the case of silver, platinum and palladium, CPU increases industrial sensitivities relating to clean-energy use. These findings highlight the twofold contribution of the geological factors in conjunction with policy uncertainty towards price fluctuations, and significance of the findings on resource planning, governance and risk management.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"154 ","pages":"Pages 274-289"},"PeriodicalIF":7.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Landslide susceptibility multi-scenario prediction in China under climate and land use change","authors":"Jing Wang ,&nbsp;Xiaoqing Wu ,&nbsp;Deliang Sun ,&nbsp;Haijia Wen ,&nbsp;Qiang Zhang ,&nbsp;Xuelian An ,&nbsp;Youchen Zhu ,&nbsp;Jin Tan ,&nbsp;Chunzao Bu","doi":"10.1016/j.gr.2026.01.012","DOIUrl":"10.1016/j.gr.2026.01.012","url":null,"abstract":"<div><div>China is highly vulnerable to landslide disaster. Climate change alters the frequency and intensity of extreme rainfall events, and, together with land use change and infrastructure expansion, future landslide susceptibility is showing an increasing trend. To scientifically assess the potential risk of landslide disasters in China under multiple future scenarios, this study divides China into six geographic regions based on geomorphic characteristics and selects multi-source geo-environmental factors as well as climate and land use data under multiple SSP-RCP scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) from Phase 6 of the Coupled Model Intercomparison Project (CMIP6). The CatBoost algorithm is used to construct landslide susceptibility models for each region in four time periods: 2020, 2050 s, 2070 s, and 2090 s, and a multi-scenario simulation analysis is carried out. The results show that the area under curve (AUC) values of all CatBoost models exceed 87% and surpass 95% in most scenarios. Relative to 2020, both the mean and median landslide-susceptibility index increase in future periods. Under the high-emissions scenario (SSP5-8.5), most regions in China exhibit rising susceptibility, whereas under the low-emissions scenario (SSP1-2.6) the increase is comparatively moderate. These findings highlight changing dynamics across China, underscore the value of region-specific modeling, and provide key insights for future disaster-risk management and mitigation.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"154 ","pages":"Pages 290-309"},"PeriodicalIF":7.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-precision chronology of the Early-Middle Pennsylvanian: Constraints on astronomical pacing of cyclothems and glacioeustasy","authors":"Jiří Laurin ,&nbsp;Stanislav Opluštil ,&nbsp;Mark Schmitz ,&nbsp;Christoph Hartkopf-Fröder","doi":"10.1016/j.gr.2026.01.005","DOIUrl":"10.1016/j.gr.2026.01.005","url":null,"abstract":"<div><div>Sea-level changes recorded in coal-bearing paralic sequences or cyclothems provide a rare insight into the timing of ice sheet waxing and waning during the Late Paleozoic Ice Age (LPIA), ∼340 and 255 Ma. An astronomical origin of these cyclothems is broadly accepted, but a robust interpretation of periodicities has been challenging due to non-stationary sedimentation rates and uncertain age constraints. Here we present high-precision U-Pb dates of five Lower-Middle Pennsylvanian tonsteins from one of the key areas of coal-bearing paralic sedimentation – the Ruhr Basin, Germany. The new data lead to a substantial (up to 1.6 Myr) revision of geochronologic boundaries relative to the Geological Time Scale 2020: the onset of the Langsettian (Westphalian) is updated to 318.96 (−0.16/+0.20) Ma, onset of the Duckmantian to 316.28 (−0.43/+0.40) Ma and onset of the Bolsovian to 313.69 (−0.11/+0.12) Ma; total uncertainties are −0.40/+0.47, −0.49/+0.44 and −0.19/+0.37 Myr, respectively. The revised time scale suggests that the periodicities of 100 and 400 kyr, interpreted for European and Appalachian cyclothems in previous studies, are replaced in the Langsettian by longer term patterns. A ∼1.2-Myr recurrence of marine transgressions is attributed here to a transient modulation of orbital eccentricity associated with the secular term g₄ − g₃. This behavior distinguishes the study interval from Cenozoic glacial phases, which were all superimposed on a ∼2.4-Myr pacing of g₄ − g₃. Gondwanan ice sheets were therefore subject to a distinct insolation context and their response to astronomical cycles evolved on multiple time scales. In contrast, a relatively simple periodicity in the ∼100-kyr band is found in coeval terrestrial strata near the equator suggesting that the low-latitude climate was decoupled from the pace of high-latitude climatic variations. The geochronology established here will help to evaluate the non-linear record of insolation signals and climate feedbacks during LPIA.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"154 ","pages":"Pages 201-215"},"PeriodicalIF":7.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional-scale trends in floral community change through the Pennsylvanian of the Maritimes Basin, Atlantic Canada","authors":"Misha A.J.B. Whittingham ,&nbsp;Danielle Fraser ,&nbsp;Hillary C. Maddin","doi":"10.1016/j.gr.2025.12.015","DOIUrl":"10.1016/j.gr.2025.12.015","url":null,"abstract":"<div><div>The Pennsylvanian saw one of the most significant periods of turnover in the fossil record of vascular plants, commonly characterized by the disappearance of lycopsid-dominated wetland rainforests. This series of events was heterogeneous across space and time, with the pace of disturbance varying between regions. The Paleozoic Maritimes Basin in Atlantic Canada has an extensive paleobotanical record of particular interest with regard to the evolution of floral communities. We explore changes in floral community composition through the Pennsylvanian of Atlantic Canada to identify disturbances to community structure. To do so, we assembled a fossil plant database spanning 607 unique assemblages across the Maritimes Basin. We quantified changes in the means and dispersions of assemblage compositions through time, along with changes in relative species richness, first appearance rates, and last appearance rates within multiple plant orders. Ready distinction of Cantabrian and Asturian community compositions with respect to a null model support the utility of the “Cantabrian” as a stratigraphic unit with a recognizable base within the Maritimes Basin, but does not provide any insight into the validity of the substage with respect to inter-basinal geochronology. When compared to a simulated neutral model, our results show evidence of a substantial shift in community compositions in the Middle Pennsylvanian, followed by a greater than expected compositional stability through to the Cantabrian, despite substantial turnover. Patterns in relative richness, last appearance rates, and the dispersion of community compositions through the same interval demonstrated only partial evidence for significant disturbance events to wetland community structure through the Pennsylvanian record of the Maritimes Basin. Our results are therefore able to identify at least one ecologically significant disturbance in wetland community structure through the Upper Carboniferous of Atlantic Canada.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"154 ","pages":"Pages 216-235"},"PeriodicalIF":7.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of different machine learning models coupling with logistic regression for landslide susceptibility mapping","authors":"Jian Ji ,&nbsp;Junhan Deng ,&nbsp;Hongzhi Cui ,&nbsp;Bin Tong ,&nbsp;Xintao Tang ,&nbsp;Te Pei","doi":"10.1016/j.gr.2025.12.014","DOIUrl":"10.1016/j.gr.2025.12.014","url":null,"abstract":"<div><div>Landslides are among the most destructive geological hazards, highlighting the urgent need for accurate landslide susceptibility mapping (LSM) to support risk reduction and mitigation strategies. Here, we systematically assess the performance of individual machine learning (ML) models and their logistic regression (LR)-coupled counterparts, with a particular focus on the influence of raster resolution on model accuracy. A total of 10 landslide conditioning factors were selected to construct both individual and coupling models, while correlation analysis and SHAP-based feature attribution were applied to ensure input independence and enhance interpretability. Hyperparameters were optimized via Bayesian search. Results indicate that slope, lithology, and elevation exert the strongest controls on landslide occurrence, and that deep learning (DL) architectures outperform other individual models. Crucially, all LR-coupled models yielded significant gains over their standalone equivalents, with AUC improvements of 4.4% (DNN_LR), 6.1% (BP_NN_LR), 6.0% (XGBoost_LR), 3.9% (RF_LR), and 5.1% (SVM_LR). DL-based hybrids achieved the highest predictive accuracy, although LR tended to overpredict low-risk zones. Across multiple raster resolutions, coupled models, particularly DNN_LR and BP_NN_LR, exhibited strong robustness and spatial generalizability. Overall, we propose a novel LR-ML coupling framework that integrates the transparency and efficiency of LR, a lightweight model with superior linear modeling capacity, with the representational power of non-linear <em>meta</em>-learners (RF, SVM, XGBoost, BP_NN, and DNN). LR provides efficient preliminary predictions and refines label quality via targeted non-landslide sampling, yielding high-quality training inputs for subsequent learning. This integration effectively mitigates overfitting, enhances interpretability, and reduces computational demand, while maintaining stability across scales. Collectively, our findings establish LR-ML as a robust and scalable framework for large-scale LSM.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"154 ","pages":"Pages 155-172"},"PeriodicalIF":7.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk assessment, source apportionment and driving mechanism of soil heavy metals in coal mining areas of Xinjiang, China","authors":"Xin He ,&nbsp;Fei Zhang ,&nbsp;Ting Zhou ,&nbsp;Boyu Wang ,&nbsp;Xuan Zhang ,&nbsp;Xiangyu Liu ,&nbsp;Zia Ahmed ,&nbsp;Mou Leong Tan ,&nbsp;Ziheng Feng ,&nbsp;Zhihui Li ,&nbsp;Xu Ma","doi":"10.1016/j.gr.2025.12.017","DOIUrl":"10.1016/j.gr.2025.12.017","url":null,"abstract":"<div><div>With the implementation of China’s Western Development Strategy, coal mining activities in Xinjiang has intensified, raising concerns over heavy metal contamination in local soils. The arid climate, characterized by low rainfall, high evaporation, and low soil organic matter, significantly influences the migration and transformation of heavy metals. However, the underlying driving mechanisms remain poorly understood. To address this knowledge gap, this study analyzed the contamination status, risks, sources, and driving mechanisms of soil heavy metals by integrating pollution and health indices, Monte Carlo simulations, and structural equation modeling across four major coal mining areas in Xinjiang. The results revealed that: (1) although the average concentrations of soil heavy metals were below local background values, localized hotspots of elevated concentrations were detected. Overall, the Ili and Kubai mining areas exhibited higher contamination levels than Zhundong and Tuha; (2) both the geo-accumulation index and the Nemerow pollution index identified cadmium (Cd) as the most severe contaminant, particularly in the Ili mining area of western Xinjiang, where Cd was the main contributor to ecological risk; (3) although all heavy metals presented negligible non-carcinogenic risks to both children and adults, Cd and arsenic (As) exhibited potential carcinogenic risks in both groups, with As emerging as the dominant contributor to the total carcinogenic risk; (4) heavy metal contamination primarily originated from multiple sources, including mining and transport, atmospheric deposition from coal-fired power generation, and emissions from coal chemical industries. Source contributions varied significantly across different mining areas and metal types; (5) soil physicochemical properties exerted a significant positive influence on heavy metal concentrations, whereas hydrological factors exhibited a weak and non-significant negative effect. This study offers crucial insights into the dynamics of heavy metal contamination in coal mining soils of Xinjiang, providing valuable guidance for pollution prevention and soil management strategies.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"154 ","pages":"Pages 64-81"},"PeriodicalIF":7.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Where does the enormous gold endowment in the Jiaodong Peninsula originate from?","authors":"Mingchun Song ,&nbsp;Jie Li ,&nbsp;Leilei Dong ,&nbsp;Jian Li ,&nbsp;Xin Bai ,&nbsp;Wenxuan Hu","doi":"10.1016/j.gr.2026.01.008","DOIUrl":"10.1016/j.gr.2026.01.008","url":null,"abstract":"<div><div>The Jiaodong Peninsula, the world’s third-largest gold metallogenic province, has witnessed significant advances in both gold exploration and metallogenic theory. However, key controversies persist regarding the genetic mechanisms and sources of ore-forming materials, particularly extraordinary gold enrichment—up to 10,000 times higher than background values in associated geological units. To address this fundamental question, we systematically collected 158 fresh samples from the geological units contemporaneous with gold mineralization, as well as from their host rocks, and conducted detailed analyses of Au and associated elements. Our findings reveal: (1) The average Au concentrations are: 0.65 ppb in Mesoarchean to Paleoproterozoic metamorphic rocks, 0.29 ppb in Late Mesozoic intrusives, and 0.28 ppb in Cretaceous volcanic rocks. The Late Mesozoic intrusives also contain Ag (38.4 ppb), Cu (4.11 ppm), Pb (28.9 ppm), Zn (57.6 ppm), As (0.83 ppm), and Sb (0.09 ppm). (2) Gold concentrations in geological units associated with mineralization are generally below crustal abundance values, though metamorphic rocks contain &gt; 2 times Au than Late Mesozoic granites. (3) The Guojialing-type granites exhibit weak positive correlations between Cu/Ag ratios and Au contents, while their dioritic enclaves show stronger correlations. Early Cretaceous granites and their enclaves display positive correlations between Cu/Ag and Cu contents. Based on these results, we propose a new genetic model: (1) During Late Jurassic partial melting of ancient metamorphic basement, Au was extracted from silicate melts via a “smelting-like” process, forming the primary gold reservoir; (2) Early Cretaceous magmatic evolution contributed additional Au through monosulfide solid solution (MSS) separation. The extracted Au accumulated as cumulates at magma chamber bases, concurrently generating Au-depleted granites. During subsequent geochemical evolution and lithospheric mantle transformation, fluids exsolved from <em>syn</em>-mineralization felsic-mafic magmas were released, dissolving and mobilizing the pre-concentrated Au. These high-<em>f</em>O₂ fluids transported and deposited Au in favorable structural traps, ultimately forming the world-class deposits. This unified model reconciles previous conflicting hypotheses and provides a comprehensive framework for understanding Jiaodong’s exceptional gold endowment.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"154 ","pages":"Pages 188-200"},"PeriodicalIF":7.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aeromagnetic mapping and geodynamic reconstruction of the Ediacaran Najd fault system in the Arabian Shield","authors":"Moujahed Al-Husseini ,&nbsp;Ian C.F. Stewart","doi":"10.1016/j.gr.2025.11.019","DOIUrl":"10.1016/j.gr.2025.11.019","url":null,"abstract":"<div><div>Three major NW-trending fault zones are assigned to the Ediacaran Najd fault system in the exposed Proterozoic Arabian Shield of Saudi Arabia. The total left-lateral displacement along the three zones has been previously interpreted as ca. 250 km, and to project from the southeastern edge of the Arabian Shield to beneath the Phanerozoic cover rocks in Saudi Arabia. In this article, aeromagnetic and geological maps, geochronological data, and structural evidence are integrated in a new Ediacaran tectonic framework of the Arabian Shield. It indicates only the middle branch of Najd system, the Ar Rika–Qazaz, constitutes a major strike-slip fault zone with a left-lateral displacement ranging between 55 and 80 km as estimated at several locations. The fault zone became active at ca. 620/615 Ma when it broke across the NS-oriented collisional front of the Amar orogeny and ceased to move by ca. 560 Ma, or possibly later.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"153 ","pages":"Pages 38-59"},"PeriodicalIF":7.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Late Paleozoic-Mesozoic uplift, exhumation, and burial of southern Gondwana margin: Thermochronological and stratigraphic constrains from Victoria Land (Antarctica)","authors":"Valerio Olivetti ,&nbsp;Luca Zurli ,&nbsp;Silvia Cattò ,&nbsp;Fabrizio Balsamo ,&nbsp;Gianluca Cornamusini ,&nbsp;Marco Fioraso ,&nbsp;Matteo Perotti ,&nbsp;Giorgia Guzzo ,&nbsp;Massimiliano Zattin ,&nbsp;Federico Rossetti","doi":"10.1016/j.gr.2025.12.003","DOIUrl":"10.1016/j.gr.2025.12.003","url":null,"abstract":"<div><div>The late Paleozoic-Mesozoic geological record of Antarctica is preserved in sedimentary successions deposited in the Gondwanide retroarc foreland basin. This basin developed as a direct response to convergence and crustal thickening along the southern margin of Gondwana during subduction of the paleo-Pacific plate. This protracted convergent tectonic setting drove the evolution of the Transantarctic Basin, which persisted from the Devonian through the Jurassic. The Transantarctic Basin is primary filled up by continental deposits, now exposed along the Transantarctic Mountains from the Weddell Sea to the northern Victoria Land. These Devonian-Jurassic sedimentary successions exhibit variations in thickness, provenance, and sedimentary facies, reflecting the long-term evolution of the paleo-Pacific convergent margin. This study investigated the late Paleozoic-Mesozoic paleo-topographic evolution of the central Prince Albert Mountains, where a thin Gondwanan stratigraphic succession is exposed. We integrate low-temperature thermochronological data (apatite fission-track and zircon (U-Th)/He) with stratigraphic evidence. Modeled thermal histories reveal an exhumation episode during the late Carboniferous to Permian, associated with the growth and subsequent erosion of a previously undescribed topographic high, referred to as Prince Albert High. The Prince Albert High formed between northern and southern Victoria Land and evolved synchronously with the Devonian-Triassic deposition of the Beacon Supergroup. We interpret its formation as a response to far-field stresses transmitted from the paleo-Pacific convergent margin, providing new insights into the geodynamic history of the Transantarctic Basin. Subsequently, this topographic high was buried beneath a Mesozoic overburden. This burial left evidence of a medium-temperature (150–180 °C) reheating process recorded in the basement and cover rocks.</div></div>","PeriodicalId":12761,"journal":{"name":"Gondwana Research","volume":"153 ","pages":"Pages 344-361"},"PeriodicalIF":7.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}