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

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

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

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

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

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

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

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

‘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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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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

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

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

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

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

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

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

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

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

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