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Forest Productivity Decreases in Response to Recent Changes in Vegetation Structure and Climate in the Latitudinal Extremes of the European Continent Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-17 Julián Tijerín-Triviño, Emily R. Lines, Miguel A. Zavala, Mariano García, Julen Astigarraga, Verónica Cruz-Alonso, Jonas Dahlgren, Paloma Ruiz-Benito
Climate change is driving increasingly frequent and intense extreme climatic events, pushing many forests worldwide beyond their physiological thresholds. Despite the major role played by forests in the global carbon cycle, climate change threatens the future potential for carbon sequestration in forests. Hence, studies of recent changes in stand productivity and the underlying drivers over large areas
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A Conceptual Framework for Measuring Ecological Novelty Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-17 Timothy L. Staples, Jessica Blois, Katie L. Cramer, Emer T. Cunningham, Maria Dornelas, Simon G. Haberle, Tina Heger, Wolfgang Kiessling, Anne E. Magurran, Aaron O'Dea, Amelia M. Penny, Volker C. Radeloff, Jansen A. Smith, Wilfried Thuiller, John W. Williams, John M. Pandolfi
Human pressures are driving the emergence of unprecedented, ‘novel’, ecological and environmental systems. The concept of novel (eco)systems is well accepted by the scientific community, but the use and measurement of novelty has outgrown initial definitions and critiques. There are still unresolved methodological and conceptual differences in quantifying novelty that prevent a unified research approach
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Global Marine Flyways Identified for Long‐Distance Migrating Seabirds From Tracking Data Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-17 Joanne M. Morten, Ana P. B. Carneiro, Martin Beal, Anne‐Sophie Bonnet‐Lebrun, Maria P. Dias, Marie‐Morgane Rouyer, Autumn‐Lynn Harrison, Jacob González‐Solís, Victoria R. Jones, Virginia A. Garcia Alonso, Michelle Antolos, Javier A. Arata, Christophe Barbraud, Elizabeth A. Bell, Mike Bell, Samhita Bose, Sharyn Broni, Michael de L Brooke, Stuart H. M. Butchart, Nicholas Carlile, Paulo Catry, Teresa
AimTo identify the broad‐scale oceanic migration routes (‘marine flyways’) used by multiple pelagic, long‐distance migratory seabirds based on a global compilation of tracking data.LocationGlobal.Time Period1989–2023.Major Taxa StudiedSeabirds (Families: Phaethontidae, Hydrobatidae, Diomedeidae, Procellariidae, Laridae and Stercorariidae).MethodsWe collated a comprehensive global tracking dataset that
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Establishing Historical Baselines of Arthropod Assemblages Using Rodent Paleomiddens Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-15 Joseph Braasch, Julio Betancourt, Olivier Dézerald, Udari Peiris, Maura Tapia‐Rozas, Cristian Villagra, Claudio Latorre, Angélica L. González
AimArthropods are under‐represented in paleoecological studies but are critical agents in ecological processes. Despite rigorous documentation of diverse arthropod assemblages from ancient rodent (or paleo) middens worldwide, their use for studying ancient arthropod diversity has stalled in recent decades. Here, we review published studies to identify how paleomidden arthropods can be leveraged to
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Global‐Scale Analysis Reveals Importance of Environment and Species Traits in Spatial Patterns of Riparian Plants' Genetic Diversity Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-15 Bartłomiej Surmacz, Patricia María Rodríguez González, Roland Jansson, Tomasz Suchan, Remigiusz Pielech
AimIn riparian zones along rivers, plant demography is shaped by hydrologic disturbances, the dendritic structure of the river networks, and asymmetric gene flow due to the prevalence of unidirectional dispersal by hydrochory. Downstream‐biased dispersal may lead to the accumulation of genetic diversity in populations situated lower within the catchment area—a phenomenon referred to as ‘downstream
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Car dependency contributors in global metropolitan areas over time J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-15 Pedram Saeidizand, Perseverence Savieri, Kobe Boussauw
Researchers have extensively investigated car dependency and its drivers, given the significant role of private vehicles as a transport mode and the various adverse effects associated with their use. In this research, we examine the topic at the level of global metropolitan areas. By utilising time series data available on two editions of the Mobility in Cities Database and conducting a longitudinal
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Exploring the interplay of transport, social, and geographical disadvantages and its effect on perceived inaccessibility J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-15 Milan L. Moleman, Maarten Kroesen
To address transport injustice and social exclusion, the needs and perceptions of different groups of individuals seem indispensable. Consequently, perceived accessibility has received a growing interest in recent years. While it is well established that transport and social disadvantages cause transport poverty and perceived inaccessibility, only recently the relevance of geographical disadvantages
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Regional Occupancy Is Negatively Related to Richness Across Time and Space Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-13 B. R. Shipley, E. E. Saupe
AimBiological diversity is shaped by processes occurring at different spatial and temporal scales. However, the direct influence of the spatial and temporal scale on patterns of occupancy is still understudied. Today, occupancy is often negatively correlated with species richness, but it is unknown whether this relationship is scale dependent and consistent through time. Here, we use datasets of contemporary
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Hybrid machine learning-based approaches for modeling bikeability J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-13 Lihong Zhang, Scott N. Lieske, Dorina Pojani, Richard J. Buning, Jonathan Corcoran
‘Bikeability’ is the quantitative assessment of the aggregate influence of natural and built environment features as barriers or facilitators to bicycling. An emerging field, bikeability research incorporates a diversity of factors and approaches, yielding a variety of results. This variability limits both the generalizability of findings and the practical impacts of this research. This study explores
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Impacts of bicycle facilities on residential property values in 11 US cities J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-13 Abdirashid Dahir, Huyen T.K. Le
Bicycle infrastructure has been found to increase nearby residential property values. However, most evidence for this economic impact is limited to a single city. This study investigates the pre- and post-treatment effects of different types of bicycle facilities on the values of single-family and multifamily homes in 11 cities in the United States from 2000 to 2019. We utilize a quasi-experimental
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Behavioural loyalty analysis of bus passengers using multi-source data fusion J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-13 Yu Fu, Xiang Wang, Fanrui Meng, Sihan Wang, Yangchen Song, Yutong Wang
Bus priority has been one of the most essential measures in achieving carbon peaking and carbon neutrality. However, in some cities, while the bus system is improving, the bus passenger volume is either growing slowly or declining. This opposite trend suggests that the behavioural loyalty of bus passengers has not been ensured despite improved bus facilities. This paper aims to enhance bus travel intention
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E-taxi drivers' charging behavior: Effects of the built environment, temporal factors, and ridership J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-13 Meng Liu, Sylvia Y. He
Transport electrification is a critical step toward energy conservation and emission reduction. However, the central challenge for electrifying transportation remains insufficient and unsuitable configurations of public charging infrastructure. Understanding the charging behavior of electric taxi (e-taxi) drivers from an urban planning perspective is important for planning public charging infrastructure
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Correction to EGCop: An Expert‐Curated Occurrence Dataset of European Groundwater‐Dwelling Copepods (Crustacea: Copepoda) Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-11
Cerasoli, F., B. Fiasca, M. Di Cicco, et al. 2025. “EGCop: An Expert-Curated Occurrence Dataset of European Groundwater-Dwelling Copepods (Crustacea: Copepoda).” Global Ecology and Biogeography 34: e13953. https://doi.org/10.1111/geb.13953. In the originally-published article, the Data Availability Statement is incorrect. It should read, “The presented dataset and the related metadata are accessible
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Relationship between shared micromobility and public transit: The differences between shared bikes and shared E-bikes J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-11 Hui Kong, Hao Chao, Wenyan Fu, Diao Lin, Yongping Zhang
Extensive research has been conducted on the usage patterns and potential impacts of shared micromobility, yet the distinct relationships with public transit between shared bikes and shared E-bikes – the two main micromobility modes in China – remain unexplored. Examining the potentially distinct modal shift patterns away from public transit is essential to understand the landscape of different micromobility
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Geopolitical and competition analysis: The case of Western African ports and the port of Las Palmas in the mid-Atlantic European Islands J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-11 Andrea Rodríguez, M. Mar Cerbán, Lourdes Trujillo
This article examines the factors shaping the competitiveness of container shipping in the Western African port region, focusing on the Port of Las Palmas (LPAP). Serving as a case study of an island region, the research identifies strategies to enhance the port's competitive position by analyzing insights from regional agents and enterprises. Using Porter's extended diamond model and two analytical
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Geopolitical uncertainty and shipping stock returns: An event study of the Israel-Hamas conflict J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-11 Mutaju Isaack Marobhe, Jonathan Mukiza Kansheba, Ziaul Haque Munim
This article investigates the impact of the Israeli-Hamas conflict on maritime sector stocks using an event study approach, highlighting the sector's vulnerability during crises. Analyzing 32 companies across container, tanker, and dry bulk sub-sectors, we employ the Fama and French three-factor model to assess how maritime stocks respond to conflict-related news. Our findings reveal predominantly
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CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-10 Shuwen Peng, Liqiang Zhang, Rongchang Xie, Ying Qu
Crop mapping is essential for agricultural management and food production monitoring, but challenges like limited crop labels and poor model generalization significantly hinder large-scale crop mapping. Here, we introduce a novel Contrastive Self-Training Network (CSTN), integrating a self-training strategy and contrastive domain adaptation (CDA) for cross-region crop mapping. CSTN uses pseudo-labels
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-09 Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi
Change detection is a fundamental yet challenging task in remote sensing, crucial for monitoring urban expansion, land use changes, and environmental dynamics. However, compared with common color images, objects in remote sensing images exhibit minimal interclass variation and significant intraclass variation in the spectral dimension, with obvious scale inconsistency in the spatial dimension. Change
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Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-08 Haoyu Wang, Qian Wang, Xiuyuan Zhang, Shihong Du, Lubin Bai, Shuping Xiong
Changes in urban land cover (ULC) provide critical evidence of urbanization including both urban expansion and internal structural renewal. Existing global urbanization research focused on urban expansion and neglected the dynamic ULC changes occurring inside urban areas. This study addresses this issue by developing a Global Annual Urban Land Cover Fraction (GAULCF) dataset, which encompasses six
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-08 Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong
Manifold learning is an important technique for dimensionality reduction in hyperspectral images. It maps data from high dimensions to low dimensions to eliminate redundant information. However, the existing manifold learning methods cannot effectively solve the problem of lacking label information and ignore the negative impact of dimensionality reduction on sample division. To address these, we propose
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Effect of protected bike lanes on bike-sharing ridership: A New York City case study J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-08 Ricardo Chahine, Jorge Duarte, Konstantina Gkritza
Bike-sharing is an emerging transportation service that has been found to offer a sustainable and convenient option for transportation, especially in urban areas. It also complements transportation for public services such as buses, trains, or subways. Nevertheless, bike-sharing adoption remains low in comparison to car usage, potentially due to cyclists' concerns about their safety on the road. In
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Towards a better understanding of changes in cost per riders for bus routes before and after the COVID-19 pandemic in Montréal, Canada J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-08 Lancelot Rodrigue, Kevin Manaugh, Ahmed El-Geneidy
The COVID-19 pandemic has severely impacted the finance of transit agencies by reducing farebox revenues. Combined changes in ridership and service operation levels have further transformed the financial efficiency of public-transit services. Understanding how these changes vary between routes is crucial to inform service optimization processes to reduce transit agencies' operational deficits. Using
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Catalyzing entrepreneurship in county regions: Assessing the impact of high-speed rail connectivity J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-08 Jinbiao Yi, Zhang Xueliang, Yang Yang
Entrepreneurial activities play a pivotal role in national economic development. Utilizing panel data from Chinese counties, this article examines the impact and underlying mechanism of high-speed rail (HSR) connectivity on county-level entrepreneurship, employing a multi-period difference-in-differences model. The findings indicate that HSR connectivity significantly enhances county entrepreneurship
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How do built environment characteristics influence metro-bus transfer patterns across metro station types in Shanghai? J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-08 Yuji Shi, Luohuan Zeng
Unravelling the complex relationship between metro-bus transfer behavior and the built environment is crucial for the construction of a sustainable urban public transportation system. The current research prominently emphasizes modeling station-level metro-bus transfer ridership in relation to the built environment that surrounds with transit stations, few has specially focused on exploring and comparing
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Madina Python package: Scalable urban network analysis for modeling pedestrian and bicycle trips in cities J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-08 Andres Sevtsuk, Abdulaziz Alhassan
There is growing interest around sustainable mobility in cities, particularly pedestrian mobility, but methodological limitations and scarcity of software tools to analyze the dynamics between pedestrians and urban land uses have limited both research on and policy-relevant planning applications of pedestrian modeling. To address these challenges, we introduce Madina, a new Python package for modeling
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The gender data gap in e-micromobility research: A systematic review of gender reporting J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-08 Katie J. Parnell
Our transportation systems have encountered male bias in their design and evaluation for many years due to a lack of data from female users. Despite being a relatively new mode of transportation, e-micromobility has had greater uptake by male users from its inception. Yet, the gendered analysis and reporting of e-micromobility has not been analysed in detail on a large scale. This review identified
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PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-07 Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang
Encoding geospatial location is a fundamental problem for geospatial artificial intelligence (GeoAI) research. In recent years, some methods (such as Place2Vec, Space2Vec, and Sphere2Vec) were proposed to encode geospatial point as a high-dimensional vector. However, all these geospatial location encoders were designed to generate a real number vector. So, when applied to some of the brain-inspired
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Cross‐Continental Shifts of Ecological Strategy in a Global Plant Invader Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-07 Ramona E. Irimia, Weihan Zhao, Peipei Cao, Madalin Parepa, Zhi‐Yong Liao, Shengyu Wang, Jeannie M. Mounger, Conner Richardson, Fatima Elkott, Xin Zhuang, Jingwen Bi, Jieren Jin, Yujie Zhao, Elodie Kugler, Julia Rafalski, Eva Schloter, Jihua Wu, Rui‐Ting Ju, Ji Yang, Zuzana Chumová, Pavel Trávníček, Bo Li, Oliver Bossdorf, Christina L. Richards
AimPlant invasions are a global problem that requires studying plants and their environmental associations across native and introduced ranges.Location2000 km transects in China, Europe and North America.Time PeriodJune 2019–July 2020.Major Taxa StudiedJapanese knotweed (Reynoutria japonica).MethodsWe surveyed 150 populations of Japanese knotweed, a noxious invader of the temperate zone, along 2000
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Inter-city transport hubs and intra-city polycentric structure: Evidence from high-speed rail stations and airports in China J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-07 Longfei Zheng, Yutong Xue, Daquan Huang
Transportation infrastructure plays a pivotal role in shaping urban spatial structure. Although numerous empirical studies have examined the impact of intra-city transport system on urban spatial structure, research on the impact of inter-city transportation infrastructure remains limited. This paper addresses this gap by accurately measuring the influence of inter-city transport hubs on urban spatial
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Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-06 Deji Wuyun, Liang Sun, Zhongxin Chen, Luís Guilherme Teixeira Crusiol, Jinwei Dong, Nitu Wu, Junwei Bao, Ruiqing Chen, Zheng Sun, Hasituya, Hongwei Zhao
At the end of the last century, the expansion of agricultural land in the arid and semi-arid regions of northern China intensified the conflict between agricultural development and ecological protection. Accurately mapping abandoned cropland is crucial for balancing these competing interests. This research evaluates the effectiveness of an innovative remote sensing method for producing 30-meter-resolution
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Coupling ICESat-2 and Sentinel-2 data for inversion of mangrove tidal flat to predict future distribution pattern of mangroves Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-06 Xiaoyong Ming, Yichao Tian, Qiang Zhang, Yali Zhang, Jin Tao, Junliang Lin
Tidal flats represent one of the Earth’s most critical ecosystems characterized by substantial ecological value, but these areas are also among the most fragile ecosystems. A detailed topography survey of tidal flat is essential for exploring how tidal flat ecosystems respond to environmental changes and for predicting morphological shifts, thereby impacting the protection and restoration of mangrove
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Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-06 Stefanie Steinbach, Anna Bartels, Andreas Rienow, Bartholomew Thiong’o Kuria, Sander Jaap Zwart, Andrew Nelson
Small reservoirs are increasingly common across Africa. They provide decentralised access to water and support farmer-led irrigation, in addition to contributing towards mitigating the impacts of climate change. Water quality monitoring is essential to ensure the safe use of water and to understand the impact of the environment and land use on water quality. However, water quality in small reservoirs
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Exploring the spatial distribution structure of intercity human mobility networks under multimodal transportation systems in China J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-06 Haosong Wen, De Zhao, Wei Wang, Xuedong Hua, Weijie Yu
Intercity human mobility drives the redistribution of resources and accelerates the coordination of urban agglomeration systems. Current intercity transportation systems tend to develop in multiple modes, while there are limited investigations into the distribution structure of multimodal mobility networks. We construct intercity mobility networks under different flows including highway, railway, aviation
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Detecting tropical freshly-opened swidden fields using a combined algorithm of continuous change detection and support vector machine Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-05 Ningsang Jiang, Peng Li, Zhiming Feng
Swidden agriculture, widely practiced by impoverished ethnic groups, continues to undergo rapid transition and transformation in tropical highlands. Exploring universal approaches for accurate mapping of newly-opened swiddens and fallows of different ages has not yet been stopped. The development of data-, information-, and knowledge-based algorithms for monitoring swidden agriculture requires integration
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Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-05 Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen
The learning-based integration of optical and synthetic aperture radar (SAR) satellite imagery is known to be effective in promoting the accuracy of wetland land-cover classification. However, the distribution of wetland categories is characterized as spatially heterogeneous and highly dynamic. It remains a challenge to fuse the inherent characteristics of optical and SAR data by exploiting their discriminative
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DeepGolf: A fine-grained perception framework for golf course distribution in the real world based on multi-source remote sensing data Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-05 Ning Li, Yingchao Feng, Wenhui Diao, Xian Sun, Liang Cheng, Kun Fu
Golf courses, while primarily serving as recreational spaces for high-income populations, occupy significant land areas and thus require precise spatial mapping to support land use planning and environmental management. Traditionally, it has been prohibitively expensive to accurately measure their built-up areas. This paper presents DeepGolf, an advanced framework that integrates geographic information
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Identification of shrinkage patterns in Japan’s four major metropolitan areas based on nighttime light and population data Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-05 Hao Zheng, Runsen Zhang
Urban shrinkage has become a critical global issue, influencing the sustainable development of cities across social, economic, and environmental dimensions. In Japan, which is characterized by an aging population and low birth rate, this phenomenon has now extended to metropolitan areas, presenting new challenges for urban sustainability. Although many studies have been conducted regarding urban decline
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Why they are experiencing long-time commuting: A gendered analysis across occupational, family, and spatial dimensions J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-05 Nixuan Ye, Chao Yang, Chengcheng Yu
The growing job-residence imbalance has led to an increasing concern about long-time commuting. Existing studies have made great efforts to explain the influencing mechanism, but a perspective based on the gender difference has not been fully explored before. Moreover, research on causality in long-time commuting has been limited. This study aims to address these gaps by using 2019 Household Travel
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Multi-spatial urban function modeling: A multi-modal deep network approach for transfer and multi-task learning Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-04 Zhaoya Gong, Chenglong Wang, Bin Liu, Binbo Li, Wei Tu, Yuting Chen, Zhicheng Deng, Pengjun Zhao
Understanding dynamics of urban land-use is crucial for comprehending urban spaces and evaluating planning strategies. A range of data-driven models based on the representation learning of multiple data sources have focused on extracting spatially explicit characteristics at the feature level for urban function inference. However, they commonly pay no attention to the systematic relationships between
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EuPPollNet: A European Database of Plant‐Pollinator Networks Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-02-04 Jose B. Lanuza, Tiffany M. Knight, Nerea Montes‐Perez, Will Glenny, Paola Acuña, Matthias Albrecht, Maddi Artamendi, Isabelle Badenhausser, Joanne M. Bennett, Paolo Biella, Ricardo Bommarco, Andree Cappellari, Sílvia Castro, Yann Clough, Pau Colom, Joana Costa, Nathan Cyrille, Natasha de Manincor, Paula Dominguez‐Lapido, Christophe Dominik, Yoko L. Dupont, Reinart Feldmann, Emeline Felten, Victoria
MotivationPollinators play a crucial role in maintaining Earth's terrestrial biodiversity. However, rapid human‐induced environmental changes are compromising the long‐term persistence of plant‐pollinator interactions. Unfortunately, we lack robust, generalisable data capturing how plant‐pollinator communities are structured across space and time. Here, we present the EuPPollNet (European Plant‐Pollinator
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Gender differences in commuting travel mode choices among young adults: A spatial heterogeneity perspective J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-04 Yang Liu, Ruolan Shen, Mingwei He, Xuefeng Li, Zhuangbin Shi
Young adults of childbearing age (20–35), who are in the process of forming families and raising children while balancing career development, exhibit diverse commuting preferences shaped by gender and family responsibilities. This group is more influenced by family activity allocation and the built environment, resulting in a closer connection between their commuting mode choices and spatial locations
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Geospatial analysis of freight accessibility and job attraction: The role of interstate ramps, airports, ports, and rail J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-04 Meiyu (Melrose) Pan, Pankaj Dahal, Hyeonsup Lim, Birat Pandey
The number of jobs within an industry is significantly influenced by geographical location, with transportation infrastructure playing a key role. While previous research has largely focused on how access to jobs affects employment, less attention has been given to how transportation infrastructure impacts business operations and job attraction. This study addresses this gap by examining how the ease
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Environmental migration during the Great American Drought J. Econ. Geogr. (IF 3.1) Pub Date : 2025-02-04 Christopher Sichko
From 1930 to 1939, a devastating drought affected the USA. To study environmentally induced migration, I develop datasets of environmental conditions (drought, heat, and precipitation) and census data between 1930 and 1940. My analysis shows that people moved from drought during the early and late 1930s. County-level environmental-related depopulation resulted from increased out-migration and decreased
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Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-03 Jianfeng Gao, Qingyan Meng, Linlin Zhang, Xinli Hu, Die Hu, Jiangkang Qian
Influenced by lockdown policies and anomalies in human activities, emergencies such as pandemic significantly altered the urban thermal environment. However, the spatiotemporal heat anomaly changes across and within cities during emergencies and their drivers have not been fully investigated. This study quantified the changes in the urban thermal environment in China before and during the COVID-19
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BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-03 Kai Wang, Zhongle Ren, Biao Hou, Weibin Li, Licheng Jiao
Extracting and analyzing water resources in Synthetic Aperture Radar (SAR) images is crucial for flood management and environmental resource planning due to the ability to monitor ground all-weather and all-time. However, extracting water entirely from high-resolution SAR images in diverse scenarios is challenging due to variable water shapes, many low-intensity land covers similar to water, and scarce
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Detecting glacial lake water quality indicators from RGB surveillance images via deep learning Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-01 Zijian Lu, Xueyan Zhu, Jinfeng Li, Mingyue Li, Jie Wang, Wenqiang Wang, Yili Zheng, Qianggong Zhang
Global warming has accelerated glacier retreat, subsequently leading to the formation of glacial lakes in high-altitude mountainous regions. These lakes represent emerging ecological water systems and could potentially pose significant hazards. Observations of these systems are constrained by their remote locations and the lack of cost-effective monitoring methods, resulting in limited understanding
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Identification of standing dead trees in Robinia pseudoacacia plantations across China’s Loess Plateau using multiple deep learning models Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-02-01 Li Zhang, Xiaodong Gao, Shuyi Zhou, Zhibo Zhang, Tianjie Zhao, Yaohui Cai, Xining Zhao
Drought-induced tree mortality has increasingly expanded worldwide under the influence of climate warming, with China’s Loess Plateau (CLP) emerging as a critical hotspot for such impacts. As one of the most active tree-planting regions globally, the CLP primarily aims to achieve soil and water conservation despite facing challenges such as limited rainfall and frequent extreme drought events. However
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Trip generation dynamics under the introduction of shared mobility J. Transp. Geogr. (IF 5.7) Pub Date : 2025-02-01 Vasiliki Kalliga, Santhanakrishnan Narayanan, Constantinos Antoniou
The travel behavior of individuals is significantly influenced by the built environment and travel facilities, impacting trip frequency, destination, and duration. This study aims to explore how these effects vary across different socioeconomic groups, particularly considering gender differences, and how individuals engage with state-of-the-art transport modes such as shared vehicles and bicycles during
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Synergistic mapping of urban tree canopy height using ICESat-2 data and GF-2 imagery Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-01-31 Xiaodi Xu, Ya Zhang, Peng Fu, Chaoya Dang, Bowen Cai, Qingwei Zhuang, Zhenfeng Shao, Deren Li, Qing Ding
Mapping urban top of canopy height (UTCH) is essential for quantifying urban vegetation carbon storage and developing effective vegetation management strategies. However, the scarcity and uneven distribution of urban measurement samples pose significant challenges to accurately estimating UTCH on a large scale in complex urban environments. To address this issue, this study utilized ICESat-2 photon
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Issue Information Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-01-31
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Completing the Speciation Cycle: Ecological Niches and Traits Predict Local Species Coexistence in Birds Across the Globe Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-01-31 Vladimír Remeš, Lenka Harmáčková
AimThe build‐up of local species diversity requires completing the transition from allopatry to sympatry to local coexistence (syntopy). However, understanding processes than enable species arising in allopatry to become syntopic remains an unsolved challenge. Potential explanations include niche conservatism, niche divergence, and energy availability. To gauge their importance, we modelled the effects
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CoralBleachRisk—Global Projections of Coral Bleaching Risk in the 21st Century Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-01-31 Camille Mellin, Stuart Brown, Scott F. Heron, Damien A. Fordham
MotivationTiming, duration and severity of marine heatwaves are changing rapidly in response to anthropogenic climate change, thereby increasing the frequency of coral bleaching events. Mass coral bleaching events result from cumulative heat stress, which is commonly quantified through degree heating weeks (DHW). Here we introduce CoralBleachRisk, a daily‐resolution global dataset that characterises
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Changes in the distance of interprovincial coal transportation in China and its effect on carbon emissions J. Transp. Geogr. (IF 5.7) Pub Date : 2025-01-30 Yiqing Guo, Xiyan Mao, Jianing Wei, Mingyang Liu, Yiqi Chen, Jie Zhou
The spatial mismatch between coal production and consumption has led to long-distance coal transportation in China, which poses a challenge for balancing the trade-off between carbon reduction and energy security. In response, the spatial restructuring of long-distance transportation and how it contributes to carbon emissions are investigated. The Doubly Constrained Gravity Model is used to estimate
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Unveiling inequalities: The intersection of gender and income in accessibility in Curitiba, Brazil J. Transp. Geogr. (IF 5.7) Pub Date : 2025-01-30 Agnes Silva de Araujo, Jaqueline Massucheto, Geisa Tamara Bugs, Marcus Vinícius Pereira Saraiva, Fábio Duarte
This research investigates accessibility inequalities in Curitiba, Brazil, employing an intersectional analysis of gender and income groups within the urban context. We utilized an Agent-based model (AxS model) to generate artificial trajectories from the Origin-Destination (OD) survey aggregated dataset and calculate individual accessibility metrics. The findings reveal that, overall, men have greater
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Understanding inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh under climate change J. Transp. Geogr. (IF 5.7) Pub Date : 2025-01-30 Naser Ahmed, Jesmin Jui, Dong Liu, Kyusik Kim, Junghwan Kim, Jinhyung Lee
This research aims to explore inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh, a country in the Global South that is prone to natural disasters. We begin by quantifying the walking time to the nearest cyclone shelters as a basic measure of accessibility. Additionally, we compute a more practical measure of accessibility by considering crowding effects in shelters
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SNAPSHOT USA 2019–2023: The First Five Years of Data From a Coordinated Camera Trap Survey of the United States Glob. Ecol. Biogeogr. (IF 6.3) Pub Date : 2025-01-28 Brigit Rooney, Roland Kays, Michael V. Cove, Alex Jensen, Benjamin R. Goldstein, Christopher Pate, Paula Castiblanco, Maggie E. Abell, Jessie Adley, Briana Agenbroad, Adam A. Ahlers, Peter D. Alexander, David Allen, Maximilian L. Allen, Jesse M. Alston, Mohammad Alyetama, Thomas L. Anderson, Raul Andrade, Christine Anhalt‐Depies, Cara L. Appel, Leslie Armendariz, Christopher R. Ayers, Amy B. Baird
MotivationSNAPSHOT USA is an annual, multicontributor camera trap survey of mammals across the United States. The growing SNAPSHOT USA dataset is intended for tracking the spatial and temporal responses of mammal populations to changes in land use, land cover and climate. These data will be useful for exploring the drivers of spatial and temporal changes in relative abundance and distribution, as well
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Change detection of slow-moving landslide with multi-source SBAS-InSAR and Light-U2Net Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-01-27 Jianao Cai, Dongping Ming, Feng Liu, Xiao Ling, Ningjie Liu, Liang Zhang, Lu Xu, Yan Li, Mengyuan Zhu
Interferometric Synthetic Aperture Radar (InSAR) techniques are commonly used approach for identifying Slow-moving Landslide (SML). However, most SML boundary identification with deep learning are based on single-source InSAR data, which cannot fully explore the dynamic process of destabilization, and are inefficient due to high model complexity. Meanwhile, research on automatic procession with multi-source
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CUG-STCN: A seabed topography classification framework based on knowledge graph-guided vision mamba network Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-01-27 Haoyi Wang, Weitao Chen, Xianju Li, Qianyong Liang, Xuwen Qin, Jun Li
Multibeam sounding is a high-precision remote sensing method for seabed detection. Seabed topography classification is crucial for marine science research, resource exploration and engineering. When using multibeam data for seabed topography automatic classification, the fuzzy boundaries of different topographic entities, redundancy of multimodal data, and the lack of geological knowledge guidance
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A tree crown edge-aware clipping algorithm for airborne LiDAR point clouds Int. J. Appl. Earth Obs. Geoinf. (IF 7.6) Pub Date : 2025-01-27 Shangshu Cai, Yong Pang
Dividing a forest point cloud dataset into tiles is a common practice in point cloud processing (e.g., individual tree segmentation), aimed at addressing memory constraints and optimizing processing efficiency. Existing methods typically utilize automatic regular clipping (e.g., rectangular clipping), which tends to result in splitting tree crowns along the cutting lines. To preserve the completeness
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Exploring the effect of new urban expressway on travel time J. Transp. Geogr. (IF 5.7) Pub Date : 2025-01-27 Tianjiao Chen, Luliang Tang, Zilong Zhao, Hong Yang, Xiaogang Guo, Hongyu Shi
Urban expressways are one of the largest infrastructure investment projects in cities. Nevertheless, the impact of expressway construction on alleviating travel time has long been controversial. The conventional approach calculates travel time utilizing origin-destination (OD) flow from taxi trajectory data. However, OD flow typically overlooks data scarcity and individual choices, resulting in biased