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Escaping Environmental Hazards? Human Mobility in Response to Air Pollution and Extreme Cold Events Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-05-13 Chang Xia
Understanding the patterns of human mobility and how they relate to different environmental risks is key to developing effective adaptation strategies. To this end, this study applied large-scale m...
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Studying long term relationship between carbon Emissions, Soil, and climate Change: Insights from a global Earth modeling Framework Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-11 Huimin Han, Zeeshan Zeeshan, Bandeh Ali Talpur, Touseef Sadiq, Uzair Aslam Bhatti, Emad Mahrous Awwad, Muna Al-Razgan, Yazeed Yasid Ghadi
The persistent increase in greenhouse gas (GHG) emissions, notably carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), since the mid-20th century has been a key driver of significant climate alterations. This study investigates the complex feedback mechanisms that both influence and are influenced by global climate dynamics, soil processes, and GHG emissions. Our statistical approach incorporates
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Addressing the spatial disparity of COVID-19 vaccination services: A spatial optimisation approach Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-11 Huanfa Chen, Xiaowei Gao, Kangdi Chen, Honghan Bei, Roberto Murcio
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The externalities of immigration policies on migration flows: the case of an asylum policy J. Econ. Geogr. (IF 5.117) Pub Date : 2024-05-11 Lucas Guichard, Joël Machado
We analyze the externalities arising from a bilateral asylum policy—the list of safe origin countries—relying on a tractable model. Using self-collected monthly data, we estimate that including one origin country on the safe list of a given destination decreases asylum applications from that origin to that destination by 29 per cent. We use a counterfactual policy simulation to quantify the spillover
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Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach GISci. Remote Sens. (IF 6.7) Pub Date : 2024-05-09 Grace Rebecca Aduvukha, Elfatih M. Abdel-Rahman, Bester Tawona Mudereri, Arthur W. Sichangi, Godfrey Ouma Makokha, H. Michael G. Lattorff, Samira A. Mohamed, Tobias Landmann, Henri E. Z. Tonnang, Thomas Dubois
Flower-visiting insects that are pollinators play a critical role in promoting biodiversity in agroecosystems and agricultural food production through their pollination ecosystem service. However, ...
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Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States GISci. Remote Sens. (IF 6.7) Pub Date : 2024-05-09 Yuanchao Li, Hongwei Zeng, Miao Zhang, Bingfang Wu, Xingli Qin
The application of machine learning in crop yield prediction has gained considerable traction, yet uncertainties persist regarding the impact of the yield trends on these predictions and the differ...
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Spatiotemporal dynamics of urban sprawl in China from 2000 to 2020 GISci. Remote Sens. (IF 6.7) Pub Date : 2024-05-10 Yiming Hou, Qingxu Huang, Qiang Ren, Tianci Gu, Yihan Zhou, Pengxin Wu, Yuxiang Fan, Guoliang Zhu
Accurately and timely quantifying the dynamics of urban sprawl is essential for improving land use efficiency and land use planning. However, existing research mainly focused on the sprawl of a sin...
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A texture feature extraction method considering spatial continuity and gray diversity Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-10 Haishuo Wei, Kun Jia, Qiao Wang, Fengcheng Ji, Biao Cao, Jianbo Qi, Wenzhi Zhao, Kai Yan, Guoqiang Wang, Baolin Xue, Xing Yan
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Optimizing bikeshare service to connect affordable housing units with transit service J. Transp. Geogr. (IF 5.899) Pub Date : 2024-05-10 Xiaodong Qian, Runhua (Ivan) Xiao, Raina Joby, Miguel Jaller
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Asymmetric warming has different impacts on vegetation growth across various vegetation types on the Tibetan Plateau GISci. Remote Sens. (IF 6.7) Pub Date : 2024-05-07 Jinxia Lv, Wenwu Zhao, Bin He, Guanghui Jiang
Global warming could affect vegetation growth, while land surface temperature has exhibited an asymmetric warming pattern over the past 50 years. The Tibetan Plateau, known as “the roof of the worl...
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Wildlife detection, counting and survey using satellite imagery: are we there yet? GISci. Remote Sens. (IF 6.7) Pub Date : 2024-05-09 Alexandre Delplanque, Jérôme Théau, Samuel Foucher, Ghazaleh Serati, Simon Durand, Philippe Lejeune
Wildlife surveys are key to assessing the health of global biodiversity. Traditional field and aerial methods however have significant limitations, including high costs, substantial time investment...
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Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-09 Lorenzo Seguini, Anton Vrieling, Michele Meroni, Andrew Nelson
Crop yield forecasts allow policy makers to anticipate market behaviour and regulate prices. Annual updates on which crops are grown where can improve crop yield forecast accuracy. Existing efforts to map crops across the European Union resulted in late-season map availability or short time series that do not meet forecasting requirements. We propose a new approach to retrieve annual winter crop maps
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Extinction selectivity obscures patterns of trait‐dependent endangerment in Columbiformes Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-05-09 Natàlia Martínez‐Rubio, Ferran Sayol, Oriol Lapiedra
AimUnderstanding how extinction has occurred in the recent past is crucial to unravel its main drivers as well as to implement effective conservation practices to minimize global biodiversity loss. It has long been hypothesized that extinction risk is not randomly distributed among traits of species. However, the actual traits making species more prone to extinction may have been overlooked because
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The distribution of global tidal marshes from Earth observation data Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-05-09 Thomas A. Worthington, Mark Spalding, Emily Landis, Tania L. Maxwell, Alejandro Navarro, Lindsey S. Smart, Nicholas J. Murray
AimTidal marsh ecosystems are heavily impacted by human activities, highlighting a pressing need to address gaps in our knowledge of their distribution. To better understand the global distribution and changes in tidal marsh extent, and identify opportunities for their conservation and restoration, it is critical to develop a spatial knowledge base of their global occurrence. Here, we develop a globally
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International knowledge connectivity and the increasing concentration of innovation in major global cities J. Econ. Geogr. (IF 5.117) Pub Date : 2024-05-09 John Cantwell, Salma Zaman
We argue that trans-local knowledge connections positively impact local epistemic inventor communities in global cities, using patent citations as an indicator of global knowledge connectivity. Patented inventions have become more concentrated in the most internationally connected global cities, increasing inter-regional inequality. We identify two dimensions of knowledge connectivity: the compatibility
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Deep Siamese Network for annual change detection in Beijing using Landsat satellite data Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-08 Hanqing Bao, Vinzenz H.D. Zerres, Lukas W. Lehnert
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Spatiotemporal monitoring of grasshopper habitats using multi-source data: Combined with landscape and spatial heterogeneity Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-08 Jing Guo, Wenjiang Huang, Yingying Dong, Kejian Lin, Yantao Zhou, Ning Wang, Rui Hua, Zhuoqing Hao, Xiaolong Ding, Fei Zhao
Grasshoppers, as pernicious pests, pose a formidable threat to the advancement of agriculture and animal husbandry. Their presence can elicit a cascade of environmental challenges, underscoring the pressing need for effective control measures. However, grasshopper development is an intricate process influenced by diverse environmental factors with varying weights across regions, making it difficult
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Examining the potential and effectiveness of water indices using multispectral sentinel-2 data to detect soil moisture as an indicator of mudflow occurrence in arid regions Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-07 Zahraa Al-Ali, Ammar Abulibdeh, Talal Al-Awadhi, Midhun Mohan, Noura Al Nasiri, Mohammed Al-Barwani, Sara Al Nabbi, Meshal Abdullah
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How can integrated Space–Air–Ground observation contribute in aboveground biomass of shrub plants estimation in shrub-encroached Grasslands? Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-07 Bin Sun, Rong Rong, Hanwen Cui, Ye Guo, Wei Yue, Ziyu Yan, Han Wang, Zhihai Gao, Zhitao Wu
Shrub encroachment in grassland has become an ecological issue of mounting concern. Accordingly, an accurate estimation of aboveground biomass (AGB) of shrub vegetation is the basis for a sound assessment and in-depth understanding of carbon cycling in shrub-encroached grassland ecosystems. Yet the relatively low stature of plants in the shrub community, coupled with the high spatial heterogeneity
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Data-driven anatomy of hierarchical migration patterns in the United States Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-07 Xurui Yan, Haoying Han, Xing Su, Chao Fan
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Denaturalizing Dispossession in the Political Ecology of the American West: Reassessing the History of the Los Angeles Aqueduct and Its Implications for Indigenous Land and Water Rights Ann. Am. Assoc. Geogr. (IF 3.982) Pub Date : 2024-05-07 Sophia L. Borgias
Indigenous dispossession has been left out or relegated to the historical background of much of the political ecology of the American West, naturalized as a precursor to natural resource policy rat...
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New three red-edge vegetation index (VI3RE) for crop seasonal LAI prediction using Sentinel-2 data Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-06 Kun Qiao, Wenquan Zhu, Zhiying Xie, Shanning Wu, Shaodan Li
Leaf area index (LAI) serves as a pivotal parameter in crop monitoring, significantly impacting agricultural applications. Empirical models are one of the commonly used methods for estimating LAI, they are often dependent on vegetation indices (VIs), predominantly derived from low-to-moderate spatial resolution satellite sensors. A critical limitation of these VIs is their tendency to saturate at elevated
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Different data-driven prediction of global ionospheric TEC using deep learning methods Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-06 Jun Tang, Mingfei Ding, Dengpan Yang, Cihang Fan, Nasim Khonsari, Wenfei Mao
Ionospheric Total Electron Content (TEC) is a crucial parameter for monitoring the ionosphere and space weather disasters. Its accurate prediction is vital for precise applications of Interferometric Synthetic Aperture Radar (InSAR) and Global Navigation Satellite System (GNSS). This study proposes a novel method for ionospheric TEC prediction that considers multiple TEC-related factors. We present
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Uncertainty analysis for forest height inversion using L / P band PolInSAR datasets and RVoG model over kryclan forest site Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-06 Han Zhao, Tingwei Zhang, Yongjie Ji, Wangfei Zhang
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Towards religious landscape: Protection of Tibetan Buddhist heritage in Aba Prefecture Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-06 Xiaoyi Zu, Chen Gao, Yi Wang
Aba Prefecture is a prominent Tibetan inhabited area with profound Tibetan Buddhist sites that need to be protected. This study demonstrates that the value of religious sites lies in their terrain-based nature with perceptions by people, and advocates to interpret and preserve them from the religious landscape perspective. Using geographic data and online geo-tagged images, geographical and visual
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Surface urban heat island analysis based on local climate zones using ECOSTRESS and Landsat data: A case study of Valencia city (Spain) Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-06 Letian Wei, José A. Sobrino
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Kudzu invasion and its influential factors in the southeastern United States Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-06 Ming Shen, Maofeng Tang, Wenzhe Jiao, Yingkui Li
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CDasXORNet: Change detection of buildings from bi-temporal remote sensing images as an XOR problem Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-06 Shanxiong Chen, Wenzhong Shi, Mingting Zhou, Min Zhang, Yue Yu, Yangjie Sun, Linjie Guan, Shuangping Li
The up-to-date building information is significant to urban planning and economic assessment. Automatic building change detection (BCD) from bi-temporal remote sensing images is essential for updating building status efficiently. Nevertheless, BCD remains challenging due to the complex building appearance, the diverse imaging conditions, and the building’s positional inconsistencies between the bi-temporal
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The everyday struggles of accessing public transport for women in the first- and last-mile stretches in Kolkata J. Transp. Geogr. (IF 5.899) Pub Date : 2024-05-06 Sanghamitra Roy, Ajay Bailey, Femke van Noorloos
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An integrated geospatial data model for active travel infrastructure J. Transp. Geogr. (IF 5.899) Pub Date : 2024-05-06 Chris Hill, Marcus Young, Simon Blainey, Stefano Cavazzi, Chris Emberson, Jason Sadler
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The influence of changing moisture content on laboratory acquired spectral feature parameters and mineral classification Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-05 Tingxuan Jiang, Harald van der Werff, Frank van Ruitenbeek, Arjan Dijkstra, Caroline Lievens, Mark van der Meijde
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Advanced utilization of satellite and governmental data for determining the coverage and condition of green areas in Poland: An experimental statistics supporting the Statistics Poland Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-04 Ewa Panek-Chwastyk, Katarzyna Dąbrowska-Zielińska, Anna Markowska, Marcin Kluczek, Marek Pieniążek
Statistics Poland utilizes Earth Observation and in-situ data to assess green areas, aiming to derive vital information on natural capital statistics and human well-being. This is essential for informed decision-making and sustainable development. Improving regional well-being statistics is a priority due to Poland's low rankings in environmental well-being indicators. To overcome challenges in obtaining
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Tracking annual dynamics of carbon storage of salt marsh plants in the Yellow River Delta national nature reserve of china based on sentinel-2 imagery during 2017–2022 Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-04 Chen Chen, Yi Ma, Dingfeng Yu, Yabin Hu, Lirong Ren
Coastal salt marshes play a key role in coastal carbon sequestration. Understanding the spatial distribution and annual changes of carbon storage of salt marsh plants at a local scale is helpful for accurate protection and restoration. However, the annual carbon storage of salt marsh plants has not yet been obtained in the Yellow River Delta National Nature Reserve (YRDNNR), China. Here, we developed
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Estimating snow depth based on dual polarimetric radar index from Sentinel-1 GRD data: A case study in the Scandinavian Mountains Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-04 Tianwen Feng, Chunlin Huang, Guanghui Huang, Donghang Shao, Xiaohua Hao
The sensitivity of synthetic aperture radar (SAR) polarization information to snow depth changes provides new opportunities for regional snow depth retrieval in mountains with thick snow cover. However, interference from soil signals can affect the accurate quantification of snow volume scattering signals. The aim of this study was to develop a dual-polarimetric radar snow depth estimation (DpRSE)
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MEDIS—A comprehensive spatial database on Mediterranean islands for biogeographical and evolutionary research Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-05-04 Francesco Santi, Riccardo Testolin, Piero Zannini, Michele Di Musciano, Virginia Micci, Lorenzo Ricci, Riccardo Guarino, Gianluigi Bacchetta, José María Fernández‐Palacios, Mauro Fois, Konstantinos Kougioumoutzis, Kadir Boğaç Kunt, Federico Lucchi, Frédéric Médail, Toni Nikolić, Rüdiger Otto, Salvatore Pasta, Maria Panitsa, Konstantinos Proios, Spyros Sfenthourakis, Stylianos M. Simaiakis, Claudio
MotivationThe intrinsic characteristics of islands make them a unique study system for the investigation of ecological and evolutionary dynamics. The Mediterranean Basin, an island‐rich biodiversity hotspot, still lacks a comprehensive spatial database for these geographic features. This study presents the first comprehensive spatial database of all Mediterranean islands larger than 0.01 km2, aiding
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Urban mobility analytics amid COVID-19 pandemic: A framework for promoting work resumption based on mobile phone data J. Transp. Geogr. (IF 5.899) Pub Date : 2024-05-04 Linghui He, Weifeng Li, Jian Li, Jianping Sun
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Reworking uneven geographical development: the spatial logic of China’s rural banking reforms J. Econ. Geogr. (IF 5.117) Pub Date : 2024-05-04 Leqian Yu, Jie Yin
Drawing on financial geography literature and the concept of state rescaling, this article investigates the state–finance nexus with an emphasis on state spatial reconfiguration. Through a historically and geographically informed political economic analysis, it argues that China’s state-led, market-oriented rural banking reforms are not merely the outcome of a deepening market logic within the financial
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Unraveling near real-time spatial dynamics of population using geographical ensemble learning Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-03 Yimeng Song, Shengbiao Wu, Bin Chen, Michelle L. Bell
Dynamic gridded population data are crucial in fields such as disaster reduction, public health, urban planning, and global change studies. Despite the use of multi-source geospatial data and advanced machine learning models, current frameworks for population spatialization often struggle with spatial non-stationarity, temporal generalizability, and fine temporal resolution. To address these issues
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Assessment of soil salinity using explainable machine learning methods and Landsat 8 images Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-03 Samet Aksoy, Elif Sertel, Ribana Roscher, Aysegul Tanik, Nikou Hamzehpour
The aim of this study is to comparatively analyze the performance of machine learning (ML) algorithms for modeling soil salinity using field-based electrical conductivity (EC) data and Landsat-8 OLI satellite images with derived environmental covariates. We also aim to interpret and explain the ML models with and without over-sampling methods using Shapley (SHAP) values, an explainable ML approach
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A strategy for tracing interactions in online collaborative geographic experiments Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-03 Hengyue Li, Zaiyang Ma, Zhong Zheng, Fengyuan Zhang, Songshan Yue, Yongning Wen, Guonian Lü, Min Chen
Online collaborative geographic experiments have many advantages in communication, resource sharing, and task coordination; thus, they play a vital role in comprehensive geographic problem solving for interdisciplinary experts. In these collaborative experiments, different experts usually possess different knowledge backgrounds and are responsible for specific tasks, making it difficult to fully understand
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Investigation on the joint travel behavior in bike sharing systems during the COVID-19 pandemic: Insights from New York City J. Transp. Geogr. (IF 5.899) Pub Date : 2024-05-03 Hui Bi, Hui Gao, Aoyong Li, Zhirui Ye
As the COVID-19 pandemic worsened, many people saw bikes as one of the safest means of transportation in the hard-hit cities. All the bike sharing utilization patterns during the pandemic are worthy of careful attention. However, there is still a lack of comprehensive understanding of niche but notable cycling behaviors, such as multi-person round trip (MPRT), defined as two or more cyclists intentionally
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Tidal dissipation morphodynamic feedback triggers loss of microtidal marshes Geology (IF 5.8) Pub Date : 2024-05-01 Samuel M. Zapp, Giulio Mariotti
Coastal marsh loss is commonly attributed to changes in external forcings, such as an increase in sea-level rise rate or a reduction in sediment supply. Here we show that extensive marsh loss can be caused by internal mechanisms alone, and specifically by autogenic tidal choking. This occurs when the marsh fills in, increasing tidal dissipation by bed friction and eventually decreasing the tidal range
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Hydrologically driven modulation of cutoff regime in meandering rivers Geology (IF 5.8) Pub Date : 2024-05-01 Riccardo Maitan, Alvise Finotello, Davide Tognin, Andrea D'Alpaos, Christopher R. Fielding, Alessandro Ielpi, Massimiliano Ghinassi
Bend cutoff is a fundamental process shaping meandering rivers. Despite the widely accepted differentiation between neck and chute cutoffs, a significant knowledge gap persists regarding the factors responsible for the occurrence of each cutoff regime and the specific conditions triggering the regime. Here, we used field and photogrammetric data derived from a global set of 22 meandering rivers, stretching
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Discovery of modern living intertidal stromatolites on Sheybarah Island, Red Sea, Saudi Arabia Geology (IF 5.8) Pub Date : 2024-05-01 Volker Vahrenkamp, Viswasanthi Chandra, Elisa Garuglieri, Ramona Marasco, Kai Hachmann, Pankaj Khanna, Daniele Daffonchio, Alexander Petrovic
Microbial carbonates, and stromatolites in particular, represent the earliest geological record of life on Earth, which dominated the planet as the sole biotic carbonate factory for almost 3 b.y., from the Archean to the late Proterozoic. Rare and sparsely scattered across the globe in the present day, modern “living” stromatolites are typically relegated to extreme environmental niches, remaining
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Where is my attention? An explainable AI exploration in water detection from SAR imagery Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-02 Lifu Chen, Xingmin Cai, Zhenhong Li, Jin Xing, Jiaqiu Ai
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Application of an improved U-Net with image-to-image translation and transfer learning in peach orchard segmentation Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-02 Jiayu Cheng, Yihang Zhu, Yiying Zhao, Tong Li, Miaojin Chen, Qinan Sun, Qing Gu, Xiaobin Zhang
Peach cultivation holds a significant economic importance, and obtaining the spatial distribution of peach orchards is helpful for yield prediction and precision agriculture. In this study, we introduce a new U-Net semantic segmentation model, utilizing ResNet50 as a backbone network, augmented with an Efficient Multi-Scale Attention (EMA) mechanism module and a LayerScale adaptive scaling parameter
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Individual tree detection in large-scale urban environments using high-resolution multispectral imagery Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-02 Jonathan Ventura, Camille Pawlak, Milo Honsberger, Cameron Gonsalves, Julian Rice, Natalie L.R. Love, Skyler Han, Viet Nguyen, Keilana Sugano, Jacqueline Doremus, G. Andrew Fricker, Jenn Yost, Matt Ritter
Systematic maps of urban forests are useful for regional planners and ecologists to understand the spatial distribution of trees in cities. However, manually-created urban forest inventories are expensive and time-consuming to create and typically do not provide coverage of private land. Toward the goal of automating urban forest inventory through machine learning techniques, we performed a comparative
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Spatial variation in spring arrival patterns of Afro‐Palaearctic bird migration across Europe Glob. Ecol. Biogeogr. (IF 6.4) Pub Date : 2024-05-02 Jennifer A. Border, Philipp H. Boersch‐Supan, James W. Pearce‐Higgins, Chris M. Hewson, Christine Howard, Philip A. Stephens, Stephen G. Willis, Alasdair I. Houston, Gabriel Gargallo, Stephen R. Baillie
AimGeographical patterns of migrant species arrival have been little studied, despite their relevance to global change responses. Here, we quantify continent‐wide interspecific variation in spatiotemporal patterns of spring arrival of 30 common migrant bird species and relate these to species characteristics and environmental conditions.LocationEurope.Time Period2010–2019.Major Taxa StudiedBirds, 30
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Study on cascading failure vulnerability of the 21st-century Maritime Silk Road container shipping network J. Transp. Geogr. (IF 5.899) Pub Date : 2024-05-02 Jiang Liupeng, Wang Guangsheng, Feng Xuejun, Yu Tong, Lei Zhiyi
The 21st-century Maritime Silk Road container shipping network (MSRCSN) is pivotal for global economic and social progress, yet it exhibits vulnerabilities impacting the stability of maritime transportation and international trade. This study conducts a comprehensive analysis of the MSRCSN's network topology, demonstrating its insignificant small-world and scale-free properties. We introduce an enhanced
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Cenozoic Pb–Zn–Ag mineralization in the Western Alps Geology (IF 5.8) Pub Date : 2024-05-01 Maxime Bertauts, Adrien Vezinet, Emilie Janots, Magali Rossi, Isabelle Duhamel-Achin, Philippe Lach, Pierre Lanari
Metallogenic models of polyphase mountain belts critically rely on robust geochronology. We combine petrology with Rb–Sr and U–Th–Pb in situ geochronology, paired at thin-section scale, to date mineralization in deformed hydrothermal Pb–Zn–Ag deposits along an east-west transect in the Western Alps, France. The Pb–Zn–Ag veins occur in shear zones with kinematic structures consistent with the mylonitized
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Tracking cycles of Phanerozoic opening and closing of ocean basins using detrital rutile and zircon geochronology and geochemistry Geology (IF 5.8) Pub Date : 2024-05-01 Margaret L. Odlum, Tomas N. Capaldi, Kelly D. Thomson, Daniel F. Stockli
Sedimentary basins provide a deep time archive of tectonic and Earth-surface processes that can be leveraged by detrital mineral U-Pb dating and geochemistry to track paleogeography, magmatism, and crustal evolution. Zircon preserves the long-term (billions of years) record of supercontinent cycles; however, it is biased toward preserving felsic crustal records. Detrital rutile complements the detrital
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Hydrological fluctuations in the Tarim Basin, northwest China, over the past millennium Geology (IF 5.8) Pub Date : 2024-05-01 Kangkang Li, Xiaoguang Qin, Gill Plunkett, David Brown, Bing Xu, Lei Zhang, Zhaoyan Gu, Guijin Mu, Hongjuan Jia, Zhiqiang Yin, Jiaqi Liu
Reconstruction of hydrological fluctuations in arid regions has proven challenging due to a lack of reliable chronologic constraints on sparse geological archives. The aim of this study was to establish an independent record of hydrologic changes in the hyper-arid Tarim Basin (TB; northwest China) with high spatiotemporal resolution. We present comprehensive radiocarbon and tree-ring data sets of subfossilized
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LATE ARCHEAN SHELF-TO-BASIN IRON SHUTTLE CONTRIBUTES TO THE FORMATION OF THE WORLD-CLASS DATAIGOU BANDED IRON FORMATION Econ. Geol. (IF 5.8) Pub Date : 2024-05-01 Changle Wang, Mingguo Zhai, Leslie J. Robbins, Zidong Peng, Xin Zhang, Lianchang Zhang
Banded iron formations (BIFs) are among the few chemical sedimentary archives that capture the biogeo-chemical evolution of Fe cycling and the redox evolution of the early Earth. Although biologically recycled continental Fe has been previously proposed to be a significant source of Fe in BIFs deposited from a stratified ocean at the onset of the Great Oxidation Event (GOE; ~2.5–2.2 Ga), constraining
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Timing and Mechanism of Ore Precipitation in Porphyry Cu Systems: Insight from LA-ICP-MS Analysis of Fluid Inclusions and In Situ Oxygen Isotope Analysis of Hydrothermal Quartz at Zhunuo Porphyry Cu Deposit, China Econ. Geol. (IF 5.8) Pub Date : 2024-05-01 Xiang Sun, Ruyue Li, Xiaobo Si, Ke Xiao, Jun Deng
The timing and mechanism of ore precipitation in porphyry copper systems are hot topics and remain controversial. The large Miocene collision-related Zhunuo porphyry Cu deposit in the Gangdese belt of southern Tibet, China, was produced by multistage quartz veining and hydrothermal alteration, accompanied by Cu sulfide precipitation. In this study, we have combined cathodoluminescence (CL) petrography
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Epithermal Gold Discoveries in the Emerging Khundii Metallogenic Province, Southwest Mongolia Econ. Geol. (IF 5.8) Pub Date : 2024-05-01 M. A. MacDonald, G. Bat-Erdene, M. X. Gillis, P. J. Dalton, I. Kavalieris, B.-E. Khashgerel, A. Kloppenburg, A. Coote, J. W. Hedenquist
Mineral exploration since 2005 in a previously underexplored region of southwestern Mongolia resulted in the definition of the Zuun Mod porphyry Mo-Cu deposit, followed by discovery of the Altan Nar and Bayan Khundii epithermal gold deposits along with several prospects and advanced exploration projects. These discoveries form the core of the emerging Khundii (“Valley”) metallogenic province, ~50 ×
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Discriminating Superimposed Alteration Associated with Epigenetic Base and Precious Metal Vein Systems in the Rouyn-Noranda Mining District, Quebec; Implications for Exploration in Ancient Volcanic Districts Econ. Geol. (IF 5.8) Pub Date : 2024-05-01 Marina D. Schofield, Bruno Lafrance, Harold L. Gibson, K. Howard Poulsen, Christophe Scheffer, Benoît Quesnel, Georges Beaudoin, Michael A. Hamilton
The Rouyn-Noranda mining district of Quebec contains 20 Cu-Zn (±Au ±Ag) volcanogenic massive sulfide (VMS) deposits, including the giant and gold-rich Quemont and Horne deposits. Mineralized epigenetic veins are also present, but their origin and relative timing remain enigmatic. The nature and extent of their alteration signatures and the effect of their superposition on district-scale alteration
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Cu-Au-Platinum Group Element Mineralization in the Mbesa Prospect, Southern Tanzania: Unconventional Magmatic Sulfides Econ. Geol. (IF 5.8) Pub Date : 2024-05-01 Hidaya Hassan, Jacob Kaavera, Akira Imai, Kotaro Yonezu, Thomas Tindell, Kenzo Sanematsu, Koichiro Watanabe
High-grade Cu mineralization was recently discovered in the Mbesa prospect in southern Tanzania, but its origin is poorly constrained. Herein, we present new major element, trace element, rare earth element (REE), and platinum group element (PGE) geochemistry and petrographic data to constrain the origin of the mineralization. The sulfide mineralization is dominated by chalcopyrite and bornite and
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Zircon and Whole-Rock Trace Element Indicators of Magmatic Hydration State and Oxidation State Discriminate Copper Ore-Forming from Barren Arc Magmas Econ. Geol. (IF 5.8) Pub Date : 2024-05-01 Robert R. Loucks, Gonzalo J. Henríquez, Marco L. Fiorentini
To meet surging requirements of copper for the green energy revolution, minable resources subequal to all copper production in history must be found in the next two decades. We show that trace elements in zircon and whole-rock samples that are diagnostic of unusually high-pressure magmatic differentiation and high hydration state and oxidation state of their parent silicate melt are effective for discriminating
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Urban inundation mapping by coupling 1D − 2D models and model comparison Int. J. Appl. Earth Obs. Geoinf. (IF 7.5) Pub Date : 2024-05-01 Yao Li, Frank Badu Osei, Tangao Hu, Yao Shi, Alfred Stein
Urban inundation mapping is important for early warning, management, and drainage network planning. Urban flood simulations typically utilize a 1D model focused on pipe nodes, whereas 2D simulations are required over a land area. In this paper, our focus is on their coupling, so that a dynamic 1D-2D model is obtained. We couple the Storm Water Management Model (SWMM), a widely utilized urban drainage
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Riding the change: Exploring women’s navigation of risk and respectability through two-wheeler mobility in Dhaka J. Transp. Geogr. (IF 5.899) Pub Date : 2024-05-01 Seama Mowri, Ajay Bailey